diff --git a/.badgery.yaml b/.badgery.yaml
index f0fc4e74..f22752fa 100644
--- a/.badgery.yaml
+++ b/.badgery.yaml
@@ -52,6 +52,7 @@ cards:
   - group: Coverage
     type: codecov
     title: Unit test coverage (Codecov)
+    flag: unittests
     enabled: true
 
   - group: Coverage
diff --git a/.github/workflows/backmerge-pr.yaml b/.github/workflows/backmerge-pr.yaml
index 19929ab9..ab80d5d0 100644
--- a/.github/workflows/backmerge-pr.yaml
+++ b/.github/workflows/backmerge-pr.yaml
@@ -1,12 +1,16 @@
-# This workflow creates a backmerge PR from DEFAULT_BRANCH into `develop`
-# whenever a new version tag is pushed (v*).
+# This workflow creates a backmerge PR into `develop` whenever a new version tag is pushed (v*).
 #
-# Usage:
-#   - Triggered automatically on tag push (v*).
-#   - Creates a PR titled "Backmerge: DEFAULT_BRANCH into develop".
-#   - Adds the label "[maintainer] auto-pull-request" so it is excluded from changelogs.
+# Key points:
+# - The PR head is a temporary branch that points at the *tag commit* (refs/tags/vX.Y.Z).
+#   After merging, `develop` can `git describe` as vX.Y.Z-... because the tag commit becomes an ancestor.
+# - The PR is auto-merged using a MERGE COMMIT (not squash) via a GitHub App token.
+#   The GitHub App must be added to the develop ruleset bypass list.
+#
+# Required repo config:
+# - Actions secret:   ES_BACKMERGE_PRIVATE_KEY  (GitHub App private key PEM)
+# - Actions variable: ES_BACKMERGE_APP_ID       (GitHub App ID)
 
-name: Backmerge PR creation
+name: Backmerge PR (tag -> develop)
 
 on:
   push:
@@ -17,28 +21,76 @@ permissions:
   contents: write
   pull-requests: write
 
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
-
 jobs:
   create-backmerge-pr:
     runs-on: ubuntu-latest
+
     steps:
-      - name: Checkout ${{ env.DEFAULT_BRANCH }} branch
+      - name: Create GitHub App installation token
+        id: app-token
+        uses: actions/create-github-app-token@v2
+        with:
+          app-id: ${{ vars.ES_BACKMERGE_APP_ID }}
+          private-key: ${{ secrets.ES_BACKMERGE_PRIVATE_KEY }}
+
+      - name: Checkout tag commit
         uses: actions/checkout@v5
         with:
-          ref: ${{ env.DEFAULT_BRANCH }}
+          ref: ${{ github.ref }} # refs/tags/vX.Y.Z
+          fetch-depth: 0
+          token: ${{ steps.app-token.outputs.token }}
+
+      - name: Create and push backmerge branch at tag
+        id: vars
+        run: |
+          set -euo pipefail
+
+          TAG='${{ github.ref_name }}'
+          BRANCH="backmerge/${TAG}"
+
+          echo "tag=${TAG}" >> "$GITHUB_OUTPUT"
+          echo "branch=${BRANCH}" >> "$GITHUB_OUTPUT"
+
+          git config user.name  "github-actions[bot]"
+          git config user.email "github-actions[bot]@users.noreply.github.com"
+
+          # Create/move branch to point exactly at the tag commit
+          git checkout -B "$BRANCH"
+
+          # Push (force makes re-runs idempotent for the same tag)
+          git push --force --set-upstream origin "$BRANCH"
+        env:
+          GITHUB_TOKEN: ${{ steps.app-token.outputs.token }}
+
+      - name:
+          Create PR from tag backmerge branch to develop (or reuse if exists)
+        run: |
+          set -euo pipefail
+
+          TITLE="Backmerge: ${{ steps.vars.outputs.tag }} into develop"
+
+          BODY="⚠️ This PR is created automatically for backmerge of a new release tag commit \`${{ steps.vars.outputs.tag }}\` into \`develop\`.
+
+          It is labeled '[maintainer] auto-pull-request' and is excluded from release notes and version bump logic."
+
+          if gh pr view --repo "${{ github.repository }}" --head "${{ steps.vars.outputs.branch }}" >/dev/null 2>&1; then
+            echo "PR already exists for head=${{ steps.vars.outputs.branch }}"
+          else
+            gh pr create \
+              --repo "${{ github.repository }}" \
+              --base develop \
+              --head "${{ steps.vars.outputs.branch }}" \
+              --title "$TITLE" \
+              --label "[maintainer] auto-pull-request" \
+              --body "$BODY"
+          fi
+        env:
+          GH_TOKEN: ${{ steps.app-token.outputs.token }}
 
-      - name: Create PR from ${{ env.DEFAULT_BRANCH }} to develop
+      - name: Enable auto-merge using MERGE COMMIT
         run: |
-          gh pr create \
-            --base develop \
-            --head ${{ env.DEFAULT_BRANCH }} \
-            --title "Backmerge: ${{ env.DEFAULT_BRANCH }} into develop" \
-            --label "[maintainer] auto-pull-request" \
-            --body "⚠️ This PR is created automatically for backmerges changes from \`${{ env.DEFAULT_BRANCH }}\` into \`develop\`, following a new release tag push.
-
-            It is labeled \`[maintainer] auto-pull-request\` and is excluded from release notes and version bump logic."
+          set -euo pipefail
+          # Merge the PR identified by its head branch.
+          gh pr merge --repo "${{ github.repository }}" --merge --auto "${{ steps.vars.outputs.branch }}"
         env:
-          GITHUB_TOKEN: ${{ secrets.GH_API_PERSONAL_ACCESS_TOKEN }}
+          GH_TOKEN: ${{ steps.app-token.outputs.token }}
diff --git a/.github/workflows/coverage.yaml b/.github/workflows/coverage.yaml
index 35334eb5..64be8068 100644
--- a/.github/workflows/coverage.yaml
+++ b/.github/workflows/coverage.yaml
@@ -86,8 +86,8 @@ jobs:
           verbose: true
           token: ${{ secrets.CODECOV_TOKEN }}
 
-  # Job 2: Run functional tests with coverage and upload to Codecov
-  func-tests-coverage:
+  # Job 2: Run integration tests with coverage and upload to Codecov
+  integration-tests-coverage:
     runs-on: ubuntu-latest
 
     steps:
@@ -108,23 +108,25 @@ jobs:
         shell: bash
         run: pixi run dev
 
-      - name: Run functional tests with coverage
-        run: pixi run func-tests-coverage --cov-report=xml:coverage-func.xml
+      - name: Run integration tests with coverage
+        run:
+          pixi run integration-tests-coverage
+          --cov-report=xml:coverage-integration.xml
 
-      - name: Upload functional tests coverage to Codecov
+      - name: Upload integration tests coverage to Codecov
         if: ${{ !cancelled() }}
         uses: codecov/codecov-action@v5
         with:
-          name: func-tests-job
-          flags: functional
-          files: ./coverage-func.xml
+          name: integration-tests-job
+          flags: integration
+          files: ./coverage-integration.xml
           fail_ci_if_error: true
           verbose: true
           token: ${{ secrets.CODECOV_TOKEN }}
 
   # Job 4: Trigger dashboard build
   dashboard-build-trigger:
-    needs: [docstring-coverage, unit-tests-coverage, func-tests-coverage] # depend on the previous jobs
+    needs: [docstring-coverage, unit-tests-coverage, integration-tests-coverage] # depend on the previous jobs
 
     runs-on: ubuntu-latest
 
diff --git a/.github/workflows/dashboard.yaml b/.github/workflows/dashboard.yaml
index 733fac98..1076f349 100644
--- a/.github/workflows/dashboard.yaml
+++ b/.github/workflows/dashboard.yaml
@@ -41,33 +41,34 @@ jobs:
 
       - name: Install and setup development dependencies
         shell: bash
-        run: pixi run dev
+        run: |
+          pixi run dev
+          pixi add --pypi --git https://github.com/enhantica/badgery badgery
 
       - name: Run docstring coverage and code complexity/maintainability checks
         run: |
           for BRANCH in ${{ env.DEFAULT_BRANCH }} ${{ env.DEVELOP_BRANCH }} ${{ env.CI_BRANCH }}; do
             echo "=== Processing branch $BRANCH ==="
-            if [ -d "../worktree-$BRANCH" ]; then
+            if [ -d "../$BRANCH" ]; then
               echo "Branch $BRANCH already processed, skipping"
               continue
             fi
-            git worktree add ../worktree-$BRANCH origin/$BRANCH
+            git worktree add ../$BRANCH origin/$BRANCH
             mkdir -p reports/$BRANCH
             echo "Docstring coverage for branch $BRANCH"
-            pixi run interrogate -c pyproject.toml --fail-under=0 ../worktree-$BRANCH/src > reports/$BRANCH/coverage-docstring.txt
+            pixi run interrogate -c pyproject.toml --fail-under=0 ../$BRANCH/src > reports/$BRANCH/coverage-docstring.txt
             echo "Cyclomatic complexity for branch $BRANCH"
-            pixi run radon cc -s -j ../worktree-$BRANCH/src --exclude ../worktree-$BRANCH/src/easydiffraction/crystallography/space_group_lookup_table.py > reports/$BRANCH/cyclomatic-complexity.json
+            pixi run radon cc -s -j ../$BRANCH/src > reports/$BRANCH/cyclomatic-complexity.json
             echo "Maintainability index for branch $BRANCH"
-            pixi run radon mi -j ../worktree-$BRANCH/src --exclude ../worktree-$BRANCH/src/easydiffraction/crystallography/space_group_lookup_table.py > reports/$BRANCH/maintainability-index.json
+            pixi run radon mi -j ../$BRANCH/src > reports/$BRANCH/maintainability-index.json
             echo "Raw metrics for branch $BRANCH"
-            pixi run radon raw -s -j ../worktree-$BRANCH/src --exclude ../worktree-$BRANCH/src/easydiffraction/crystallography/space_group_lookup_table.py > reports/$BRANCH/raw-metrics.json
+            pixi run radon raw -s -j ../$BRANCH/src > reports/$BRANCH/raw-metrics.json
           done
 
       - name: Generate dashboard HTML
-        run: |
-          pixi add --pypi --git https://github.com/enhantica/badgery badgery
-          pixi run pip show badgery
-          pixi run python -m badgery --config .badgery.yaml --repo ${{ github.repository }} --branch ${{ env.CI_BRANCH }} --output index.html
+        run: >
+          pixi run python -m badgery --config .badgery.yaml --repo ${{
+          github.repository }} --branch ${{ env.CI_BRANCH }} --output index.html
 
       - name: Prepare publish directory
         run: |
diff --git a/.github/workflows/docs.yaml b/.github/workflows/docs.yaml
index 5a4a4de2..8dd24c1d 100644
--- a/.github/workflows/docs.yaml
+++ b/.github/workflows/docs.yaml
@@ -137,7 +137,14 @@ jobs:
       # Input: docs/ directory containing the Markdown files
       # Output: site/ directory containing the generated HTML files
       - name: Build site with MkDocs
-        run: pixi run docs-build
+        run: |
+          if [[ "${CI_BRANCH}" == "develop" || "${CI_BRANCH}" == "master" || "${CI_BRANCH}" == "main" ]]; then
+            echo "📘 Building production docs for ${CI_BRANCH}"
+            pixi run docs-build
+          else
+            echo "📗 Building local docs for ${CI_BRANCH}"
+            pixi run docs-local
+          fi
 
       # Set up the Pages action to configure the static files to be deployed
       # NOTE: The repository must have GitHub Pages enabled and configured to build using GitHub Actions
diff --git a/.github/workflows/pypi-test.yaml b/.github/workflows/pypi-test.yaml
index f7f25213..38f439e5 100644
--- a/.github/workflows/pypi-test.yaml
+++ b/.github/workflows/pypi-test.yaml
@@ -20,6 +20,7 @@ env:
   DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
 
 jobs:
+  # Job 1: Test installation from PyPI on multiple OS
   pypi-package-tests:
     strategy:
       matrix:
@@ -54,24 +55,45 @@ jobs:
       - name: Create the environment and install dependencies
         run: pixi install
 
-      - name: Install package from PyPI with dev and visualization extras
-        run: |
-          pixi add --pypi "easydiffraction[dev,visualization]"
-          pixi run easydiffraction --version
+      - name: Install package from PyPI with all extras
+        run: pixi add --pypi "easydiffraction[all]"
 
       - name: Run unit tests to verify the installation
         run: pixi run unit-tests
 
-      - name: Run functional tests to verify the installation
-        run: pixi run func-tests
+      - name: Run integration tests to verify the installation
+        run: pixi run integration-tests
 
       # Github token to avoid hitting the unauthenticated API rate limit
       - name: List and fetch the EasyDiffraction tutorials
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         run: |
-          pixi run tutorials-list
-          pixi run tutorials-fetch
+          pixi run easydiffraction --version
+          pixi run easydiffraction list-tutorials
+          pixi run easydiffraction fetch-tutorials
 
       - name: Test tutorials as notebooks
         run: pixi run notebook-tests
+
+  # Job 2: Trigger dashboard build
+  dashboard-build-trigger:
+    needs: pypi-package-tests
+
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check-out repository
+        uses: actions/checkout@v5
+
+      - name: Trigger dashboard build
+        uses: actions/github-script@v7
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            await github.rest.actions.createWorkflowDispatch({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              workflow_id: "dashboard.yaml",
+              ref: "${{ env.CI_BRANCH }}"
+            });
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 7868d738..4d57a22a 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -56,15 +56,15 @@ jobs:
       pytest-marks: ${{ steps.set-mark.outputs.pytest_marks }}
 
     steps:
-      # Determine if functional tests should be run fully or only the fast ones
+      # Determine if integration tests should be run fully or only the fast ones
       # (to save time on branches other than master and develop)
-      - name: Set mark for functional tests
+      - name: Set mark for integration tests
         id: set-mark
         run: |
           if [[ "${{ env.CI_BRANCH }}" == "master" || "${{ env.CI_BRANCH }}" == "develop" ]]; then
             echo "pytest_marks=" >> $GITHUB_OUTPUT
           else
-            echo "pytest_marks=-m 'fast'" >> $GITHUB_OUTPUT
+            echo "pytest_marks=-m fast" >> $GITHUB_OUTPUT
           fi
 
   # Job 2: Test code
@@ -115,12 +115,13 @@ jobs:
             pixi run --environment $env unit-tests
           done
 
-      - name: Run functional tests ${{ needs.env-prepare.outputs.pytest-marks }}
+      - name:
+          Run integration tests ${{ needs.env-prepare.outputs.pytest-marks }}
         shell: bash
         run: |
           for env in ${{ env.PIXI_ENVS }}; do
             echo "🔹🔸🔹🔸🔹   Current env: $env   🔹🔸🔹🔸🔹"
-            pixi run --environment $env func-tests "${{ needs.env-prepare.outputs.pytest-marks }}"
+            pixi run --environment $env integration-tests ${{ needs.env-prepare.outputs.pytest-marks }}
           done
 
       # Delete all local tags when not on a tagged commit to force versioningit
@@ -147,6 +148,10 @@ jobs:
         shell: bash
         run: pixi remove --pypi easydiffraction
 
+      - name: Remove Python cache files before uploading
+        shell: bash
+        run: pixi run clean-pycache
+
       # More than one file/dir need to be specified in 'path', to preserve the
       # structure of the dist/ directory, not only its contents.
       - name: Upload Python package for the next job
@@ -156,6 +161,7 @@ jobs:
           path: |
             dist/
             tests/
+            pytest.ini
             pixi.toml
             pixi.lock
           if-no-files-found: 'error'
@@ -221,12 +227,13 @@ jobs:
             pixi run --environment $env unit-tests
           done
 
-      - name: Run functional tests ${{ needs.env-prepare.outputs.pytest-marks }}
+      - name:
+          Run integration tests ${{ needs.env-prepare.outputs.pytest-marks }}
         shell: bash
         run: |
           for env in ${{ env.PIXI_ENVS }}; do
             echo "🔹🔸🔹🔸🔹   Current env: $env   🔹🔸🔹🔸🔹"
-            pixi run --environment $env func-tests "${{ needs.env-prepare.outputs.pytest-marks }}"
+            pixi run --environment $env integration-tests ${{ needs.env-prepare.outputs.pytest-marks }}
           done
 
   # Job 4: Trigger dashboard build
diff --git a/.github/workflows/tutorial-tests.yaml b/.github/workflows/tutorial-tests.yaml
index f5d4af8d..c8fc6448 100644
--- a/.github/workflows/tutorial-tests.yaml
+++ b/.github/workflows/tutorial-tests.yaml
@@ -22,7 +22,12 @@ concurrency:
     ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
   cancel-in-progress: true
 
+# Set the environment variables to be used in all jobs defined in this workflow
+env:
+  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
+
 jobs:
+  # Job 1: Test tutorials as scripts and notebooks on multiple OS
   tutorial-tests:
     strategy:
       fail-fast: false
@@ -60,3 +65,25 @@ jobs:
       - name: Test tutorials as notebooks
         shell: bash
         run: pixi run notebook-tests
+
+  # Job 2: Trigger dashboard build
+  dashboard-build-trigger:
+    needs: tutorial-tests
+
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check-out repository
+        uses: actions/checkout@v5
+
+      - name: Trigger dashboard build
+        uses: actions/github-script@v7
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            await github.rest.actions.createWorkflowDispatch({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              workflow_id: "dashboard.yaml",
+              ref: "${{ env.CI_BRANCH }}"
+            });
diff --git a/.gitignore b/.gitignore
index 02bb32e1..2c43d2b8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,9 +4,18 @@ __pycache__
 .coverage
 .pyc
 
+# PyTest
+.pytest_cache
+
+# MyPy
+.mypy_cache
+
 # Pixi
 .pixi
 
+# Ruff
+.ruff_cache
+
 # Jupyter Notebooks
 .ipynb_checkpoints
 
diff --git a/.prettierignore b/.prettierignore
index f599168f..4bd61611 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -1,2 +1,6 @@
 # Pixi
+.pixi
 pixi.lock
+
+# MyPy
+.mypy_cache
diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md
index 9d099afd..2acffeb3 100644
--- a/DEVELOPMENT.md
+++ b/DEVELOPMENT.md
@@ -75,9 +75,9 @@ This is an example of a workflow that describes the development process.
   ```bash
   pixi run unit-tests
   ```
-- Run functional tests
+- Run integration tests
   ```bash
-  pixi run func-tests
+  pixi run integration-tests
   ```
 - Test tutorials as python scripts
   ```bash
diff --git a/docs/api-reference/display.md b/docs/api-reference/display.md
new file mode 100644
index 00000000..3d19e2f7
--- /dev/null
+++ b/docs/api-reference/display.md
@@ -0,0 +1 @@
+::: easydiffraction.display
diff --git a/docs/api-reference/index.md b/docs/api-reference/index.md
index 1d08cd20..25418279 100644
--- a/docs/api-reference/index.md
+++ b/docs/api-reference/index.md
@@ -13,7 +13,7 @@ available in EasyDiffraction:
   space groups, and symmetry operations.
 - [utils](utils.md) – Miscellaneous utility functions for formatting,
   decorators, and general helpers.
-- [plotting](plotting.md) – Tools for visualizing data and fitting results.
+- [display](display.md) – Tools for plotting data and rendering tables.
 - [project](project.md) – Defines the project and manages its state.
 - [sample_models](sample_models.md) – Defines sample models, such as
   crystallographic structures, and manages their properties.
diff --git a/docs/api-reference/io.md b/docs/api-reference/io.md
new file mode 100644
index 00000000..794e0d3a
--- /dev/null
+++ b/docs/api-reference/io.md
@@ -0,0 +1 @@
+::: easydiffraction.io
diff --git a/docs/api-reference/plotting.md b/docs/api-reference/plotting.md
deleted file mode 100644
index 88675b2d..00000000
--- a/docs/api-reference/plotting.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easydiffraction.plotting
diff --git a/docs/architecture/package-structure-full.md b/docs/architecture/package-structure-full.md
new file mode 100644
index 00000000..e24eadab
--- /dev/null
+++ b/docs/architecture/package-structure-full.md
@@ -0,0 +1,278 @@
+# Package Structure (full)
+
+```
+📦 easydiffraction
+├── 📁 analysis
+│   ├── 📁 calculators
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   │   └── 🏷️ class CalculatorBase
+│   │   ├── 📄 crysfml.py
+│   │   │   └── 🏷️ class CrysfmlCalculator
+│   │   ├── 📄 cryspy.py
+│   │   │   └── 🏷️ class CryspyCalculator
+│   │   ├── 📄 factory.py
+│   │   │   └── 🏷️ class CalculatorFactory
+│   │   └── 📄 pdffit.py
+│   │       └── 🏷️ class PdffitCalculator
+│   ├── 📁 categories
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 aliases.py
+│   │   │   ├── 🏷️ class Alias
+│   │   │   └── 🏷️ class Aliases
+│   │   ├── 📄 constraints.py
+│   │   │   ├── 🏷️ class Constraint
+│   │   │   └── 🏷️ class Constraints
+│   │   └── 📄 joint_fit_experiments.py
+│   │       ├── 🏷️ class JointFitExperiment
+│   │       └── 🏷️ class JointFitExperiments
+│   ├── 📁 fit_helpers
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 metrics.py
+│   │   ├── 📄 reporting.py
+│   │   │   └── 🏷️ class FitResults
+│   │   └── 📄 tracking.py
+│   │       ├── 🏷️ class _TerminalLiveHandle
+│   │       └── 🏷️ class FitProgressTracker
+│   ├── 📁 minimizers
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   │   └── 🏷️ class MinimizerBase
+│   │   ├── 📄 dfols.py
+│   │   │   └── 🏷️ class DfolsMinimizer
+│   │   ├── 📄 factory.py
+│   │   │   └── 🏷️ class MinimizerFactory
+│   │   └── 📄 lmfit.py
+│   │       └── 🏷️ class LmfitMinimizer
+│   ├── 📄 __init__.py
+│   ├── 📄 analysis.py
+│   │   └── 🏷️ class Analysis
+│   └── 📄 fitting.py
+│       └── 🏷️ class Fitter
+├── 📁 core
+│   ├── 📄 __init__.py
+│   ├── 📄 category.py
+│   │   ├── 🏷️ class CategoryItem
+│   │   └── 🏷️ class CategoryCollection
+│   ├── 📄 collection.py
+│   │   └── 🏷️ class CollectionBase
+│   ├── 📄 datablock.py
+│   │   ├── 🏷️ class DatablockItem
+│   │   └── 🏷️ class DatablockCollection
+│   ├── 📄 diagnostic.py
+│   │   └── 🏷️ class Diagnostics
+│   ├── 📄 factory.py
+│   │   └── 🏷️ class FactoryBase
+│   ├── 📄 guard.py
+│   │   └── 🏷️ class GuardedBase
+│   ├── 📄 identity.py
+│   │   └── 🏷️ class Identity
+│   ├── 📄 parameters.py
+│   │   ├── 🏷️ class GenericDescriptorBase
+│   │   ├── 🏷️ class GenericStringDescriptor
+│   │   ├── 🏷️ class GenericNumericDescriptor
+│   │   ├── 🏷️ class GenericParameter
+│   │   ├── 🏷️ class StringDescriptor
+│   │   ├── 🏷️ class NumericDescriptor
+│   │   └── 🏷️ class Parameter
+│   ├── 📄 singletons.py
+│   │   ├── 🏷️ class SingletonBase
+│   │   ├── 🏷️ class UidMapHandler
+│   │   └── 🏷️ class ConstraintsHandler
+│   └── 📄 validation.py
+│       ├── 🏷️ class DataTypes
+│       ├── 🏷️ class ValidationStage
+│       ├── 🏷️ class ValidatorBase
+│       ├── 🏷️ class TypeValidator
+│       ├── 🏷️ class RangeValidator
+│       ├── 🏷️ class MembershipValidator
+│       ├── 🏷️ class RegexValidator
+│       └── 🏷️ class AttributeSpec
+├── 📁 crystallography
+│   ├── 📄 __init__.py
+│   ├── 📄 crystallography.py
+│   └── 📄 space_groups.py
+├── 📁 display
+│   ├── 📁 plotters
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 ascii.py
+│   │   │   └── 🏷️ class AsciiPlotter
+│   │   ├── 📄 base.py
+│   │   │   └── 🏷️ class PlotterBase
+│   │   └── 📄 plotly.py
+│   │       └── 🏷️ class PlotlyPlotter
+│   ├── 📁 tablers
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   │   └── 🏷️ class TableBackendBase
+│   │   ├── 📄 pandas.py
+│   │   │   └── 🏷️ class PandasTableBackend
+│   │   └── 📄 rich.py
+│   │       └── 🏷️ class RichTableBackend
+│   ├── 📄 __init__.py
+│   ├── 📄 base.py
+│   │   ├── 🏷️ class RendererBase
+│   │   └── 🏷️ class RendererFactoryBase
+│   ├── 📄 plotting.py
+│   │   ├── 🏷️ class PlotterEngineEnum
+│   │   ├── 🏷️ class Plotter
+│   │   └── 🏷️ class PlotterFactory
+│   ├── 📄 tables.py
+│   │   ├── 🏷️ class TableEngineEnum
+│   │   ├── 🏷️ class TableRenderer
+│   │   └── 🏷️ class TableRendererFactory
+│   └── 📄 utils.py
+│       └── 🏷️ class JupyterScrollManager
+├── 📁 experiments
+│   ├── 📁 categories
+│   │   ├── 📁 background
+│   │   │   ├── 📄 __init__.py
+│   │   │   ├── 📄 base.py
+│   │   │   │   └── 🏷️ class BackgroundBase
+│   │   │   ├── 📄 chebyshev.py
+│   │   │   │   ├── 🏷️ class PolynomialTerm
+│   │   │   │   └── 🏷️ class ChebyshevPolynomialBackground
+│   │   │   ├── 📄 enums.py
+│   │   │   │   └── 🏷️ class BackgroundTypeEnum
+│   │   │   ├── 📄 factory.py
+│   │   │   │   └── 🏷️ class BackgroundFactory
+│   │   │   └── 📄 line_segment.py
+│   │   │       ├── 🏷️ class LineSegment
+│   │   │       └── 🏷️ class LineSegmentBackground
+│   │   ├── 📁 data
+│   │   │   ├── 📄 bragg_pd.py
+│   │   │   │   ├── 🏷️ class PdDataPointBaseMixin
+│   │   │   │   ├── 🏷️ class PdCwlDataPointMixin
+│   │   │   │   ├── 🏷️ class PdTofDataPointMixin
+│   │   │   │   ├── 🏷️ class PdCwlDataPoint
+│   │   │   │   ├── 🏷️ class PdTofDataPoint
+│   │   │   │   ├── 🏷️ class PdDataBase
+│   │   │   │   ├── 🏷️ class PdCwlData
+│   │   │   │   └── 🏷️ class PdTofData
+│   │   │   ├── 📄 bragg_sc.py
+│   │   │   │   └── 🏷️ class Refln
+│   │   │   ├── 📄 factory.py
+│   │   │   │   └── 🏷️ class DataFactory
+│   │   │   └── 📄 total.py
+│   │   │       ├── 🏷️ class TotalDataPoint
+│   │   │       ├── 🏷️ class TotalDataBase
+│   │   │       └── 🏷️ class TotalData
+│   │   ├── 📁 instrument
+│   │   │   ├── 📄 __init__.py
+│   │   │   ├── 📄 base.py
+│   │   │   │   └── 🏷️ class InstrumentBase
+│   │   │   ├── 📄 cwl.py
+│   │   │   │   └── 🏷️ class CwlInstrument
+│   │   │   ├── 📄 factory.py
+│   │   │   │   └── 🏷️ class InstrumentFactory
+│   │   │   └── 📄 tof.py
+│   │   │       └── 🏷️ class TofInstrument
+│   │   ├── 📁 peak
+│   │   │   ├── 📄 __init__.py
+│   │   │   ├── 📄 base.py
+│   │   │   │   └── 🏷️ class PeakBase
+│   │   │   ├── 📄 cwl.py
+│   │   │   │   ├── 🏷️ class CwlPseudoVoigt
+│   │   │   │   ├── 🏷️ class CwlSplitPseudoVoigt
+│   │   │   │   └── 🏷️ class CwlThompsonCoxHastings
+│   │   │   ├── 📄 cwl_mixins.py
+│   │   │   │   ├── 🏷️ class CwlBroadeningMixin
+│   │   │   │   ├── 🏷️ class EmpiricalAsymmetryMixin
+│   │   │   │   └── 🏷️ class FcjAsymmetryMixin
+│   │   │   ├── 📄 factory.py
+│   │   │   │   └── 🏷️ class PeakFactory
+│   │   │   ├── 📄 tof.py
+│   │   │   │   ├── 🏷️ class TofPseudoVoigt
+│   │   │   │   ├── 🏷️ class TofPseudoVoigtIkedaCarpenter
+│   │   │   │   └── 🏷️ class TofPseudoVoigtBackToBack
+│   │   │   ├── 📄 tof_mixins.py
+│   │   │   │   ├── 🏷️ class TofBroadeningMixin
+│   │   │   │   └── 🏷️ class IkedaCarpenterAsymmetryMixin
+│   │   │   ├── 📄 total.py
+│   │   │   │   └── 🏷️ class TotalGaussianDampedSinc
+│   │   │   └── 📄 total_mixins.py
+│   │   │       └── 🏷️ class TotalBroadeningMixin
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 excluded_regions.py
+│   │   │   ├── 🏷️ class ExcludedRegion
+│   │   │   └── 🏷️ class ExcludedRegions
+│   │   ├── 📄 experiment_type.py
+│   │   │   └── 🏷️ class ExperimentType
+│   │   └── 📄 linked_phases.py
+│   │       ├── 🏷️ class LinkedPhase
+│   │       └── 🏷️ class LinkedPhases
+│   ├── 📁 experiment
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   │   ├── 🏷️ class ExperimentBase
+│   │   │   └── 🏷️ class PdExperimentBase
+│   │   ├── 📄 bragg_pd.py
+│   │   │   └── 🏷️ class BraggPdExperiment
+│   │   ├── 📄 bragg_sc.py
+│   │   │   └── 🏷️ class BraggScExperiment
+│   │   ├── 📄 enums.py
+│   │   │   ├── 🏷️ class SampleFormEnum
+│   │   │   ├── 🏷️ class ScatteringTypeEnum
+│   │   │   ├── 🏷️ class RadiationProbeEnum
+│   │   │   ├── 🏷️ class BeamModeEnum
+│   │   │   └── 🏷️ class PeakProfileTypeEnum
+│   │   ├── 📄 factory.py
+│   │   │   └── 🏷️ class ExperimentFactory
+│   │   ├── 📄 instrument_mixin.py
+│   │   │   └── 🏷️ class InstrumentMixin
+│   │   └── 📄 total_pd.py
+│   │       └── 🏷️ class TotalPdExperiment
+│   ├── 📄 __init__.py
+│   └── 📄 experiments.py
+│       └── 🏷️ class Experiments
+├── 📁 io
+│   ├── 📁 cif
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 handler.py
+│   │   │   └── 🏷️ class CifHandler
+│   │   ├── 📄 parse.py
+│   │   └── 📄 serialize.py
+│   └── 📄 __init__.py
+├── 📁 project
+│   ├── 📄 __init__.py
+│   ├── 📄 project.py
+│   │   └── 🏷️ class Project
+│   └── 📄 project_info.py
+│       └── 🏷️ class ProjectInfo
+├── 📁 sample_models
+│   ├── 📁 categories
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 atom_sites.py
+│   │   │   ├── 🏷️ class AtomSite
+│   │   │   └── 🏷️ class AtomSites
+│   │   ├── 📄 cell.py
+│   │   │   └── 🏷️ class Cell
+│   │   └── 📄 space_group.py
+│   │       └── 🏷️ class SpaceGroup
+│   ├── 📁 sample_model
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   │   └── 🏷️ class SampleModelBase
+│   │   └── 📄 factory.py
+│   │       └── 🏷️ class SampleModelFactory
+│   ├── 📄 __init__.py
+│   └── 📄 sample_models.py
+│       └── 🏷️ class SampleModels
+├── 📁 summary
+│   ├── 📄 __init__.py
+│   └── 📄 summary.py
+│       └── 🏷️ class Summary
+├── 📁 utils
+│   ├── 📄 __init__.py
+│   ├── 📄 environment.py
+│   ├── 📄 logging.py
+│   │   ├── 🏷️ class IconifiedRichHandler
+│   │   ├── 🏷️ class ConsoleManager
+│   │   ├── 🏷️ class LoggerConfig
+│   │   ├── 🏷️ class ExceptionHookManager
+│   │   ├── 🏷️ class Logger
+│   │   └── 🏷️ class ConsolePrinter
+│   └── 📄 utils.py
+├── 📄 __init__.py
+└── 📄 __main__.py
+```
diff --git a/docs/architecture/package-structure-short.md b/docs/architecture/package-structure-short.md
new file mode 100644
index 00000000..7f9d5af0
--- /dev/null
+++ b/docs/architecture/package-structure-short.md
@@ -0,0 +1,142 @@
+# Package Structure (short)
+
+```
+📦 easydiffraction
+├── 📁 analysis
+│   ├── 📁 calculators
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   ├── 📄 crysfml.py
+│   │   ├── 📄 cryspy.py
+│   │   ├── 📄 factory.py
+│   │   └── 📄 pdffit.py
+│   ├── 📁 categories
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 aliases.py
+│   │   ├── 📄 constraints.py
+│   │   └── 📄 joint_fit_experiments.py
+│   ├── 📁 fit_helpers
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 metrics.py
+│   │   ├── 📄 reporting.py
+│   │   └── 📄 tracking.py
+│   ├── 📁 minimizers
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   ├── 📄 dfols.py
+│   │   ├── 📄 factory.py
+│   │   └── 📄 lmfit.py
+│   ├── 📄 __init__.py
+│   ├── 📄 analysis.py
+│   └── 📄 fitting.py
+├── 📁 core
+│   ├── 📄 __init__.py
+│   ├── 📄 category.py
+│   ├── 📄 collection.py
+│   ├── 📄 datablock.py
+│   ├── 📄 diagnostic.py
+│   ├── 📄 factory.py
+│   ├── 📄 guard.py
+│   ├── 📄 identity.py
+│   ├── 📄 parameters.py
+│   ├── 📄 singletons.py
+│   └── 📄 validation.py
+├── 📁 crystallography
+│   ├── 📄 __init__.py
+│   ├── 📄 crystallography.py
+│   └── 📄 space_groups.py
+├── 📁 display
+│   ├── 📁 plotters
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 ascii.py
+│   │   ├── 📄 base.py
+│   │   └── 📄 plotly.py
+│   ├── 📁 tablers
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   ├── 📄 pandas.py
+│   │   └── 📄 rich.py
+│   ├── 📄 __init__.py
+│   ├── 📄 base.py
+│   ├── 📄 plotting.py
+│   ├── 📄 tables.py
+│   └── 📄 utils.py
+├── 📁 experiments
+│   ├── 📁 categories
+│   │   ├── 📁 background
+│   │   │   ├── 📄 __init__.py
+│   │   │   ├── 📄 base.py
+│   │   │   ├── 📄 chebyshev.py
+│   │   │   ├── 📄 enums.py
+│   │   │   ├── 📄 factory.py
+│   │   │   └── 📄 line_segment.py
+│   │   ├── 📁 data
+│   │   │   ├── 📄 bragg_pd.py
+│   │   │   ├── 📄 bragg_sc.py
+│   │   │   ├── 📄 factory.py
+│   │   │   └── 📄 total.py
+│   │   ├── 📁 instrument
+│   │   │   ├── 📄 __init__.py
+│   │   │   ├── 📄 base.py
+│   │   │   ├── 📄 cwl.py
+│   │   │   ├── 📄 factory.py
+│   │   │   └── 📄 tof.py
+│   │   ├── 📁 peak
+│   │   │   ├── 📄 __init__.py
+│   │   │   ├── 📄 base.py
+│   │   │   ├── 📄 cwl.py
+│   │   │   ├── 📄 cwl_mixins.py
+│   │   │   ├── 📄 factory.py
+│   │   │   ├── 📄 tof.py
+│   │   │   ├── 📄 tof_mixins.py
+│   │   │   ├── 📄 total.py
+│   │   │   └── 📄 total_mixins.py
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 excluded_regions.py
+│   │   ├── 📄 experiment_type.py
+│   │   └── 📄 linked_phases.py
+│   ├── 📁 experiment
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   ├── 📄 bragg_pd.py
+│   │   ├── 📄 bragg_sc.py
+│   │   ├── 📄 enums.py
+│   │   ├── 📄 factory.py
+│   │   ├── 📄 instrument_mixin.py
+│   │   └── 📄 total_pd.py
+│   ├── 📄 __init__.py
+│   └── 📄 experiments.py
+├── 📁 io
+│   ├── 📁 cif
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 handler.py
+│   │   ├── 📄 parse.py
+│   │   └── 📄 serialize.py
+│   └── 📄 __init__.py
+├── 📁 project
+│   ├── 📄 __init__.py
+│   ├── 📄 project.py
+│   └── 📄 project_info.py
+├── 📁 sample_models
+│   ├── 📁 categories
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 atom_sites.py
+│   │   ├── 📄 cell.py
+│   │   └── 📄 space_group.py
+│   ├── 📁 sample_model
+│   │   ├── 📄 __init__.py
+│   │   ├── 📄 base.py
+│   │   └── 📄 factory.py
+│   ├── 📄 __init__.py
+│   └── 📄 sample_models.py
+├── 📁 summary
+│   ├── 📄 __init__.py
+│   └── 📄 summary.py
+├── 📁 utils
+│   ├── 📄 __init__.py
+│   ├── 📄 environment.py
+│   ├── 📄 logging.py
+│   └── 📄 utils.py
+├── 📄 __init__.py
+└── 📄 __main__.py
+```
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index ba5f16e8..94a2263a 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -69,7 +69,8 @@ nav:
   - Tutorials:
       - Tutorials: tutorials/index.md
       - Getting Started:
-          - LBCO quick: tutorials/quick_single-fit_pd-neut-cwl_LBCO-HRPT.ipynb
+          - LBCO quick CIF: tutorials/quick_from-cif_pd-neut-cwl_LBCO-HRPT.ipynb
+          - LBCO quick code: tutorials/quick_from-code_pd-neut-cwl_LBCO-HRPT.ipynb
           - LBCO basic: tutorials/basic_single-fit_pd-neut-cwl_LBCO-HRPT.ipynb
           - PbSO4 advanced: tutorials/advanced_joint-fit_pd-neut-xray-cwl_PbSO4.ipynb
       - Standard Diffraction:
@@ -86,12 +87,13 @@ nav:
           - 2025 DMSC: tutorials/dmsc-summer-school-2025_analysis-powder-diffraction.ipynb
   - API Reference:
       - API Reference: api-reference/index.md
+      - analysis: api-reference/analysis.md
       - core: api-reference/core.md
       - crystallography: api-reference/crystallography.md
-      - utils: api-reference/utils.md
-      - plotting: api-reference/plotting.md
+      - display: api-reference/display.md
+      - experiments: api-reference/experiments.md
+      - io: api-reference/io.md
       - project: api-reference/project.md
       - sample_models: api-reference/sample_models.md
-      - experiments: api-reference/experiments.md
-      - analysis: api-reference/analysis.md
       - summary: api-reference/summary.md
+      - utils: api-reference/utils.md
diff --git a/docs/tutorials/index.md b/docs/tutorials/index.md
index a10891b9..5ce91a38 100644
--- a/docs/tutorials/index.md
+++ b/docs/tutorials/index.md
@@ -17,11 +17,18 @@ The tutorials are organized into the following categories.
 
 ## Getting Started
 
-- [LBCO `quick`](quick_single-fit_pd-neut-cwl_LBCO-HRPT.ipynb) – A minimal
+- [LBCO `quick` CIF](quick_from-cif_pd-neut-cwl_LBCO-HRPT.ipynb) – A minimal
   example intended as a quick reference for users already familiar with the
-  EasyDiffraction API or who want to see an example refinement in code. This
-  tutorial covers a Rietveld refinement of the La0.5Ba0.5CoO3 crystal structure
-  using constant wavelength neutron powder diffraction data from HRPT at PSI.
+  EasyDiffraction API or who want to see how Rietveld refinement of the
+  La0.5Ba0.5CoO3 crystal structure can be performed when both the sample model
+  and experiment are loaded from CIF files. Data collected from constant
+  wavelength neutron powder diffraction at HRPT at PSI.
+- [LBCO `quick` `code`](quick_from-code_pd-neut-cwl_LBCO-HRPT.ipynb) – A minimal
+  example intended as a quick reference for users already familiar with the
+  EasyDiffraction API or who want to see an example refinement when both the
+  sample model and experiment are defined directly in code. This tutorial covers
+  a Rietveld refinement of the La0.5Ba0.5CoO3 crystal structure using constant
+  wavelength neutron powder diffraction data from HRPT at PSI.
 - [LBCO `basic`](basic_single-fit_pd-neut-cwl_LBCO-HRPT.ipynb) – Demonstrates
   the use of the EasyDiffraction API in a simplified, user-friendly manner that
   closely follows the GUI workflow for a Rietveld refinement of the
@@ -39,6 +46,9 @@ The tutorials are organized into the following categories.
 
 ## Standard Diffraction
 
+- [Co2SiO4 `pd-neut-cwl`](cryst-struct_pd-neut-cwl_HS-HRPT.ipynb) – Demonstrates
+  a Rietveld refinement of the Co2SiO4 crystal structure using constant
+  wavelength neutron powder diffraction data from D20 at ILL.
 - [HS `pd-neut-cwl`](cryst-struct_pd-neut-cwl_HS-HRPT.ipynb) – Demonstrates a
   Rietveld refinement of the HS crystal structure using constant wavelength
   neutron powder diffraction data from HRPT at PSI.
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-  - liblapacke 3.9.0   35*_mkl
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   license: BSD-3-Clause
   license_family: BSD
   purls: []
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+  - liblapacke 3.11.0   4*_openblas
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-  - liblapacke 3.9.0   35*_mkl
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py311h62e9434_0.conda
-  sha256: be241ea3ca603d68654beeab4c991c225c9361378a107f72c2433ddfdff88132
-  md5: 5425495af6b0b010230320d618022f20
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=10.13
-  - python_abi 3.11.* *_cp311
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 462903
-  timestamp: 1757930157317
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py313hcb05632_0.conda
-  sha256: 1df6717571a177a135622399708878c84620be5bd9a72dc67814486595ecb509
-  md5: 7fbc3b11a6c969de321061575594eba7
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=10.13
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.13.* *_cp313
-  license: BSD-3-Clause
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 469089
-  timestamp: 1757930140546
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py311h5bb9006_0.conda
-  sha256: fb1443a1479a6d709b4af7a2cdcea3ef2a5e859378de19814086fa86ca6f934e
-  md5: c7e0f1b714bd12d39899a4f0c296dd86
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=11.0
-  - python 3.11.* *_cpython
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.11.* *_cp311
-  license: BSD-3-Clause
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 390089
-  timestamp: 1757930124840
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py313h9734d34_0.conda
-  sha256: 8a1bf8a66c05f724e8a56cb1918eae70bcb467a7c5d43818e37e04d86332c513
-  md5: ce17795bf104a29a2c7ed0bba7a804cb
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=11.0
-  - python 3.13.* *_cp313
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.13.* *_cp313
-  license: BSD-3-Clause
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 396477
-  timestamp: 1757930170468
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py311hf893f09_0.conda
-  sha256: 3b66d3cb738a9993e8432d1a03402d207128166c4ef0c928e712958e51aff325
-  md5: d26077d20b4bba54f4c718ed1313805f
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.11.* *_cp311
-  license: BSD-3-Clause
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 375866
-  timestamp: 1757930134099
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_0.conda
-  sha256: d20a163a466621e41c3d06bc5dc3040603b8b0bfa09f493e2bfc0dbd5aa6e911
-  md5: edfe43bb6e955d4d9b5e7470ea92dead
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - python_abi 3.13.* *_cp313
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 380849
-  timestamp: 1757930139118
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
-  sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
-  md5: 6432cb5d4ac0046c3ac0a8a0f95842f9
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
+  sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
+  md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - libstdcxx >=13
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 567578
-  timestamp: 1742433379869
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h8210216_2.conda
-  sha256: c171c43d0c47eed45085112cb00c8c7d4f0caa5a32d47f2daca727e45fb98dca
-  md5: cd60a4a5a8d6a476b30d8aa4bb49251a
+  size: 601375
+  timestamp: 1764777111296
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h3eecb57_6.conda
+  sha256: 47101a4055a70a4876ffc87b750ab2287b67eca793f21c8224be5e1ee6394d3f
+  md5: 727109b184d680772e3122f40136d5ca
   depends:
   - __osx >=10.13
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 485754
-  timestamp: 1742433356230
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-h6491c7d_2.conda
-  sha256: 0d02046f57f7a1a3feae3e9d1aa2113788311f3cf37a3244c71e61a93177ba67
-  md5: e6f69c7bcccdefa417f056fa593b40f0
+  size: 528148
+  timestamp: 1764777156963
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
+  sha256: 9485ba49e8f47d2b597dd399e88f4802e100851b27c21d7525625b0b4025a5d9
+  md5: ab136e4c34e97f34fb621d2592a393d8
   depends:
   - __osx >=11.0
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 399979
-  timestamp: 1742433432699
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-hbeecb71_2.conda
-  sha256: bc64864377d809b904e877a98d0584f43836c9f2ef27d3d2a1421fa6eae7ca04
-  md5: 21f56217d6125fb30c3c3f10c786d751
-  depends:
-  - libzlib >=1.3.1,<2.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 354697
-  timestamp: 1742433568506
+  size: 433413
+  timestamp: 1764777166076
diff --git a/pixi.toml b/pixi.toml
index bcc2feb8..2cd6bf7d 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -2,7 +2,7 @@
 # ENVIRONMENT VARIABLES
 #######################
 
-# Platform-independent 
+# Platform-independent
 
 [activation.env]
 PYTHONIOENCODING = "utf-8"
@@ -16,11 +16,11 @@ PYTHONIOENCODING = "utf-8"
 
 # Unix/macOS
 [target.unix.activation.env]
-PYTHONPATH = "src${PYTHONPATH:+:${PYTHONPATH}}" # remove ":" if needed
+PYTHONPATH = "${PIXI_PROJECT_ROOT}/src${PYTHONPATH:+:${PYTHONPATH}}"
 
 # Windows
 [target.win.activation.env]
-PYTHONPATH = "src;%PYTHONPATH%"
+PYTHONPATH = "${PIXI_PROJECT_ROOT}/src;%PYTHONPATH%"
 
 ###########
 # WORKSPACE
@@ -39,17 +39,21 @@ channels = ['conda-forge']
 
 # Default feature configuration
 
-[dependencies] # == [feature.default.dependencies]
-pip = '*'        # Required to install from PyPI
-jupyterlab = '*' # JupyterLab for notebooks
+[dependencies]
+gsl = '*' # GNU Scientific Library; required for pdffit2.
 
-[target.win-64.dependencies]
-libcblas = '*' # CBLAS library for linear algebra; required for pdffit2.
+#[target.win-64.dependencies]
+#libcblas = '*' # CBLAS library for linear algebra; required for pdffit2.
 
 [pypi-dependencies] # == [feature.default.pypi-dependencies]
-pixi-kernel = '*'                                               # Pixi Jupyter kernel
-uv = '*'                                                        # Python package manager
-easydiffraction = { version = '*', extras = ['visualization'] } # Main package
+pip = '*'                                             # Native package installer
+uv = '*'                                              # Package manager
+jupyterlab = '*'                                      # Jupyter notebooks
+pixi-kernel = '*'                                     # Pixi Jupyter kernel
+easydiffraction = { version = '*', extras = ['all'] } # Main package
+
+[target.osx.pypi-dependencies]
+h5py = "==3.14.0" # macOS only: avoid broken 3.15.0 wheel
 
 # Features for specific Python versions
 
@@ -90,9 +94,10 @@ py313-dev = { features = ['py313', 'nodejs'] }
 
 ## 🧪 Testing Tasks
 unit-tests = 'python -m pytest tests/unit/ --color=yes -v'
-func-tests = 'python -m pytest tests/functional/ --color=yes -n auto -v'
+integration-tests = 'python -m pytest tests/integration/ --color=yes -n auto -v'
 notebook-tests = 'python -m pytest --nbmake tutorials/ --nbmake-timeout=600 --color=yes -n auto -v'
 script-tests = 'python -m pytest tools/test_scripts.py --color=yes -n auto -v'
+extra = 'python -m pytest tests/unit/extra.py -q --tb=no --disable-warnings --color=yes'
 
 test = { depends-on = ['unit-tests'] }
 
@@ -125,7 +130,8 @@ check = { depends-on = [
 
 ### 🛠️ Fixes
 py-lint-fix = 'pixi run py-lint-check --fix'
-py-format-fix = "python -m ruff format $(git diff --cached --name-only -- '*.py')"
+#py-format-fix = "python -m ruff format $(git diff --cached --name-only -- '*.py')"
+py-format-fix = "python -m ruff format"
 nonpy-format-fix = 'pixi run nonpy-format-check --write'
 nonpy-format-fix-modified = "pixi run nonpy-format-check-modified --write"
 notebook-format-fix = 'pixi run notebook-format-check --fix'
@@ -148,10 +154,10 @@ raw-metrics-json = 'radon raw -s -j src/'
 
 ## 📊 Coverage
 unit-tests-coverage = 'pixi run unit-tests --cov=src/easydiffraction --cov-report=term-missing'
-func-tests-coverage = 'pixi run func-tests --cov=src/easydiffraction --cov-report=term-missing'
+integration-tests-coverage = 'pixi run integration-tests --cov=src/easydiffraction --cov-report=term-missing'
 docstring-coverage = 'interrogate -c pyproject.toml src/'
 
-cov = { depends-on = ['docstring-coverage', 'unit-tests-coverage'] }
+cov = { depends-on = ['docstring-coverage', 'integration-tests-coverage'] }
 
 ## 📓 Notebook Management
 notebook-convert = 'jupytext tutorials/*.py --from py:percent --to ipynb'
@@ -172,6 +178,7 @@ docs-notebooks = 'mv tutorials/*.ipynb docs/tutorials/'
 docs-config = 'python tools/create_mkdocs_yml.py'
 docs-serve = "JUPYTER_PLATFORM_DIRS=1 PYTHONWARNINGS='ignore::RuntimeWarning' python -m mkdocs serve --dirty"
 docs-build = "JUPYTER_PLATFORM_DIRS=1 PYTHONWARNINGS='ignore::RuntimeWarning' python -m mkdocs build"
+docs-local = "pixi run docs-build --no-directory-urls"
 docs-clean = 'tools/cleanup_docs.sh'
 docs-setup = { depends-on = [
   'docs-config',
@@ -184,11 +191,12 @@ docs-setup = { depends-on = [
 dist-build = 'python -m build --wheel --outdir dist'
 spdx-update = 'python tools/update_spdx.py'
 #dev-install = 'uv pip install --requirements pyproject.toml --extra all'
-dev-install = "uv pip install --editable '.[all]'"
+dev-install = "python -m uv pip install --editable '.[all]'"
 npm-config = 'npm config set registry https://registry.npmjs.org/'
 prettier-install = 'npm install --no-save --no-audit --no-fund prettier prettier-plugin-toml'
 pre-commit-setup = 'pre-commit clean && pre-commit uninstall && pre-commit install --hook-type pre-commit --hook-type pre-push --overwrite'
 pre-commit-update = 'pre-commit autoupdate'
+clean-pycache = "find . -type d -name '__pycache__' -prune -exec rm -rf '{}' +"
 
 dev = { depends-on = [
   'dev-install',
@@ -199,7 +207,5 @@ dev = { depends-on = [
 
 wheel = { depends-on = ['npm-config', 'prettier-install'] }
 
-## 🔗 Shortcuts
+## 🔗 Main Package Shortcut
 easydiffraction = 'python -m easydiffraction'
-tutorials-list = 'python -m easydiffraction list-tutorials'
-tutorials-fetch = 'python -m easydiffraction fetch-tutorials'
diff --git a/pyproject.toml b/pyproject.toml
index 45b0beea..d262f0a5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,6 +39,8 @@ dependencies = [
   'cryspy',         # Calculations of diffraction patterns
   'diffpy.pdffit2', # Calculations of Pair Distribution Function (PDF), Python >=3.11,<3.14
   'diffpy.utils',   # Utilities for PDF calculations
+  'uncertainties',  # Propagation of uncertainties
+  'typeguard',      # Runtime type checking
 ]
 
 [project.optional-dependencies]
@@ -65,22 +67,23 @@ docs = [
   'mkdocs',                          # Static site generator
   'mkdocs-material',                 # Documentation framework on top of MkDocs
   'mkdocs-autorefs<1.3.0',           # MkDocs: Auto-references support. 1.3.0 => DeprecationWarning: Setting a fallback anchor function is deprecated and ...
-  'mkdocs-jupyter',                  # MkDocs: Jupyter notebook support
+  'mkdocs-jupyter',                  # MkDocs: Jupyter notebook support.
   'mkdocs-plugin-inline-svg',        # MkDocs: Inline SVG support
   'mkdocs-markdownextradata-plugin', # MkDocs: Markdown extra data support, such as global variables
   'mkdocstrings-python',             # MkDocs: Python docstring support
   'pyyaml',                          # YAML parser
 ]
 visualization = [
-  'darkdetect', # Detecting dark mode
-  'pandas',     # Displaying tables in juptyer notebooks
-  'plotly',     # Interactive plots
-  'py3Dmol',    # Visualisation of crystal structures
+  'darkdetect',          # Detecting dark mode
+  'jupyter_dark_detect', # Jupyter notebook dark mode support
+  'pandas',              # Displaying tables in juptyer notebooks
+  'plotly',              # Interactive plots
+  'py3Dmol',             # Visualisation of crystal structures
 ]
 all = [
-  "easydiffraction[dev]",
-  "easydiffraction[docs]",
-  "easydiffraction[visualization]",
+  'easydiffraction[dev]',
+  'easydiffraction[docs]',
+  'easydiffraction[visualization]',
 ]
 
 [project.urls]
@@ -160,8 +163,9 @@ close-quotes-on-newline = true
 # https://interrogate.readthedocs.io/en/latest/
 
 [tool.interrogate]
-fail-under = 35 # Temporarily reduce to allow gradual improvement
+fail-under = 35                  # Temporarily reduce to allow gradual improvement
 verbose = 1
+exclude = ["src/**/__init__.py"]
 
 #######################################
 # Configuration for coverage/pytest-cov
@@ -169,12 +173,12 @@ verbose = 1
 
 [tool.coverage.run]
 branch = true                    # Measure branch coverage as well
-source = ["src/easydiffraction"] # Limit coverage to the source code directory
+source = ['src/easydiffraction'] # Limit coverage to the source code directory
 
 [tool.coverage.report]
 show_missing = true # Show missing lines
 skip_covered = true # Skip files with 100% coverage in the report
-fail_under = 58     # Temporarily reduce to allow gradual improvement
+fail_under = 65     # Temporarily reduce to allow gradual improvement
 
 ########################
 # Configuration for ruff
@@ -185,7 +189,7 @@ fail_under = 58     # Temporarily reduce to allow gradual improvement
 
 [tool.ruff]
 # Temporarily exclude some directories until we have improved the code quality there
-exclude = ['tests', 'tutorials-drafts']
+exclude = ['tests', 'tmp']
 indent-width = 4
 line-length = 99
 # Enable new rules that are not yet stable, like DOC
@@ -247,10 +251,10 @@ ignore = [
   'DTZ005', # Ignore: `datetime.datetime.now()` called without a `tz` argument
 ]
 
-# Temporarily increase McCabe complexity limit to 17 to allow
+# Temporarily increase McCabe complexity limit to 19 to allow
 # refactoring in smaller steps.
 [tool.ruff.lint.mccabe]
-max-complexity = 17 # default is 10
+max-complexity = 19 # default is 10
 
 [tool.ruff.lint.flake8-tidy-imports]
 ban-relative-imports = 'all'
@@ -262,11 +266,11 @@ force-single-line = true
 '*test_*.py' = ['S101'] # allow asserts in test files
 
 [tool.ruff.lint.pycodestyle]
-max-line-length = 99 # https://peps.python.org/pep-0008/#maximum-line-length
-max-doc-length = 72  # https://peps.python.org/pep-0008/#maximum-line-length
+max-line-length = 100 #99# https://peps.python.org/pep-0008/#maximum-line-length
+max-doc-length = 72   # https://peps.python.org/pep-0008/#maximum-line-length
 
 [tool.ruff.lint.pydocstyle]
-convention = "google"
+convention = 'google'
 
 [tool.ruff.format]
 docstring-code-format = true    # Whether to format code snippets in docstrings
diff --git a/pytest.ini b/pytest.ini
index 9aae88b7..907883e8 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -1,3 +1,13 @@
 [pytest]
+addopts = --import-mode=importlib
 markers =
     fast: mark test as fast (should be run on every push)
+    integration: mark test as integration (slow; opt-in)
+testpaths =
+    tests
+filterwarnings =
+    ignore::DeprecationWarning:cryspy\.
+    ignore:.*scipy\.misc is deprecated.*:DeprecationWarning
+    # Suppress expected UserWarnings emitted during tutorial list fetching in tests
+    ignore:Falling back to latest release info\...:UserWarning:easydiffraction\.utils\.logging
+    ignore:'tutorials\.zip' not found in the release\.:UserWarning:easydiffraction\.utils\.logging
diff --git a/src/easydiffraction/__init__.py b/src/easydiffraction/__init__.py
index c2ace01e..f7af7a03 100644
--- a/src/easydiffraction/__init__.py
+++ b/src/easydiffraction/__init__.py
@@ -1,128 +1,28 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
 
-from typing import TYPE_CHECKING
+from easydiffraction.experiments.experiment.factory import ExperimentFactory
+from easydiffraction.project.project import Project
+from easydiffraction.sample_models.sample_model.factory import SampleModelFactory
+from easydiffraction.utils.logging import Logger
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+from easydiffraction.utils.utils import download_data
+from easydiffraction.utils.utils import fetch_tutorials
+from easydiffraction.utils.utils import get_value_from_xye_header
+from easydiffraction.utils.utils import list_tutorials
+from easydiffraction.utils.utils import show_version
 
-# This is needed for static type checkers like mypy and IDEs to
-# recognize the imports without actually importing them at runtime,
-# which helps avoid circular dependencies and reduces initial load time.
-if TYPE_CHECKING:
-    # Analysis
-    from easydiffraction.analysis.analysis import Analysis
-
-    # Experiments
-    from easydiffraction.experiments.experiment import Experiment
-    from easydiffraction.experiments.experiments import Experiments
-
-    # Project management
-    from easydiffraction.project import Project
-    from easydiffraction.project import ProjectInfo
-
-    # Sample model
-    from easydiffraction.sample_models.sample_model import SampleModel
-    from easydiffraction.sample_models.sample_models import SampleModels
-
-    # Summary
-    from easydiffraction.summary import Summary
-
-    # Utils
-    from easydiffraction.utils.formatting import chapter
-    from easydiffraction.utils.formatting import paragraph
-    from easydiffraction.utils.formatting import section
-    from easydiffraction.utils.utils import download_from_repository
-    from easydiffraction.utils.utils import fetch_tutorials
-    from easydiffraction.utils.utils import get_value_from_xye_header
-    from easydiffraction.utils.utils import list_tutorials
-    from easydiffraction.utils.utils import show_version
-
-
-# Lazy loading of submodules and classes
-# This improves initial import time and reduces memory usage
-# when only a subset of functionality is needed.
-def __getattr__(name):
-    if name == 'Analysis':
-        from easydiffraction.analysis.analysis import Analysis
-
-        return Analysis
-    elif name == 'Experiment':
-        from easydiffraction.experiments.experiment import Experiment
-
-        return Experiment
-    elif name == 'Experiments':
-        from easydiffraction.experiments.experiments import Experiments
-
-        return Experiments
-    elif name == 'Project':
-        from easydiffraction.project import Project
-
-        return Project
-    elif name == 'ProjectInfo':
-        from easydiffraction.project import ProjectInfo
-
-        return ProjectInfo
-    elif name == 'SampleModel':
-        from easydiffraction.sample_models.sample_model import SampleModel
-
-        return SampleModel
-    elif name == 'SampleModels':
-        from easydiffraction.sample_models.sample_models import SampleModels
-
-        return SampleModels
-    elif name == 'Summary':
-        from easydiffraction.summary import Summary
-
-        return Summary
-    elif name == 'chapter':
-        from easydiffraction.utils.formatting import chapter
-
-        return chapter
-    elif name == 'section':
-        from easydiffraction.utils.formatting import section
-
-        return section
-    elif name == 'paragraph':
-        from easydiffraction.utils.formatting import paragraph
-
-        return paragraph
-    elif name == 'download_from_repository':
-        from easydiffraction.utils.utils import download_from_repository
-
-        return download_from_repository
-    elif name == 'fetch_tutorials':
-        from easydiffraction.utils.utils import fetch_tutorials
-
-        return fetch_tutorials
-    elif name == 'list_tutorials':
-        from easydiffraction.utils.utils import list_tutorials
-
-        return list_tutorials
-    elif name == 'get_value_from_xye_header':
-        from easydiffraction.utils.utils import get_value_from_xye_header
-
-        return get_value_from_xye_header
-    elif name == 'show_version':
-        from easydiffraction.utils.utils import show_version
-
-        return show_version
-    raise AttributeError(f"module 'easydiffraction' has no attribute {name}")
-
-
-# Expose the public API
 __all__ = [
     'Project',
-    'ProjectInfo',
-    'SampleModel',
-    'SampleModels',
-    'Experiment',
-    'Experiments',
-    'Analysis',
-    'Summary',
-    'chapter',
-    'section',
-    'paragraph',
-    'download_from_repository',
+    'ExperimentFactory',
+    'SampleModelFactory',
+    'download_data',
     'fetch_tutorials',
     'list_tutorials',
     'get_value_from_xye_header',
     'show_version',
+    'Logger',
+    'log',
+    'console',
 ]
diff --git a/src/easydiffraction/analysis/analysis.py b/src/easydiffraction/analysis/analysis.py
index 700f21b6..404fa835 100644
--- a/src/easydiffraction/analysis/analysis.py
+++ b/src/easydiffraction/analysis/analysis.py
@@ -7,26 +7,53 @@
 
 import pandas as pd
 
-from easydiffraction.analysis.calculators.calculator_factory import CalculatorFactory
-from easydiffraction.analysis.collections.aliases import Aliases
-from easydiffraction.analysis.collections.constraints import Constraints
-from easydiffraction.analysis.collections.joint_fit_experiments import JointFitExperiments
-from easydiffraction.analysis.minimization import DiffractionMinimizer
-from easydiffraction.analysis.minimizers.minimizer_factory import MinimizerFactory
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.core.objects import Parameter
+from easydiffraction.analysis.calculators.factory import CalculatorFactory
+from easydiffraction.analysis.categories.aliases import Aliases
+from easydiffraction.analysis.categories.constraints import Constraints
+from easydiffraction.analysis.categories.joint_fit_experiments import JointFitExperiments
+from easydiffraction.analysis.fitting import Fitter
+from easydiffraction.analysis.minimizers.factory import MinimizerFactory
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.parameters import StringDescriptor
 from easydiffraction.core.singletons import ConstraintsHandler
+from easydiffraction.display.tables import TableRenderer
 from easydiffraction.experiments.experiments import Experiments
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.formatting import warning
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
 from easydiffraction.utils.utils import render_cif
 from easydiffraction.utils.utils import render_table
 
 
 class Analysis:
+    """High-level orchestration of analysis tasks for a Project.
+
+    This class wires calculators and minimizers, exposes a compact
+    interface for parameters, constraints and results, and coordinates
+    computations across the project's sample models and experiments.
+
+    Typical usage:
+
+    - Display or filter parameters to fit.
+    - Select a calculator/minimizer implementation.
+    - Calculate patterns and run single or joint fits.
+
+    Attributes:
+    project: The parent Project object.
+        aliases: A registry of human-friendly aliases for parameters.
+        constraints: Symbolic constraints between parameters.
+    calculator: Active calculator used for computations.
+        fitter: Active fitter/minimizer driver.
+    """
+
     _calculator = CalculatorFactory.create_calculator('cryspy')
 
     def __init__(self, project) -> None:
+        """Create a new Analysis instance bound to a project.
+
+        Args:
+            project: The project that owns models and experiments.
+        """
         self.project = project
         self.aliases = Aliases()
         self.constraints = Constraints()
@@ -34,59 +61,66 @@ def __init__(self, project) -> None:
         self.calculator = Analysis._calculator  # Default calculator shared by project
         self._calculator_key: str = 'cryspy'  # Added to track the current calculator
         self._fit_mode: str = 'single'
-        self.fitter = DiffractionMinimizer('lmfit (leastsq)')
+        self.fitter = Fitter('lmfit (leastsq)')
 
     def _get_params_as_dataframe(
         self,
-        params: List[Union[Descriptor, Parameter]],
+        params: List[Union[NumericDescriptor, Parameter]],
     ) -> pd.DataFrame:
         """Convert a list of parameters to a DataFrame.
 
         Args:
-            params: List of Descriptor or Parameter objects.
+            params: List of DescriptorFloat or Parameter objects.
 
         Returns:
             A pandas DataFrame containing parameter information.
         """
-        rows = []
+        records = []
         for param in params:
-            common_attrs = {}
-            if isinstance(param, (Descriptor, Parameter)):
-                common_attrs = {
-                    'datablock': param.datablock_id,
-                    'category': param.category_key,
-                    'entry': param.collection_entry_id,
-                    'parameter': param.name,
-                    'value': param.value,
-                    'units': param.units,
-                    'fittable': False,
+            record = {}
+            # TODO: Merge into one. Add field if attr exists
+            # TODO: f'{param.value!r}' for StringDescriptor?
+            if isinstance(param, (StringDescriptor, NumericDescriptor, Parameter)):
+                record = {
+                    ('fittable', 'left'): False,
+                    ('datablock', 'left'): param._identity.datablock_entry_name,
+                    ('category', 'left'): param._identity.category_code,
+                    ('entry', 'left'): param._identity.category_entry_name or '',
+                    ('parameter', 'left'): param.name,
+                    ('value', 'right'): param.value,
+                }
+            if isinstance(param, (NumericDescriptor, Parameter)):
+                record = record | {
+                    ('units', 'left'): param.units,
                 }
-            param_attrs = {}
             if isinstance(param, Parameter):
-                param_attrs = {
-                    'fittable': True,
-                    'free': param.free,
-                    'min': param.min,
-                    'max': param.max,
-                    'uncertainty': f'{param.uncertainty:.4f}' if param.uncertainty else '',
-                    'value': f'{param.value:.4f}',
-                    'units': param.units,
+                record = record | {
+                    ('fittable', 'left'): True,
+                    ('free', 'left'): param.free,
+                    ('min', 'right'): param.fit_min,
+                    ('max', 'right'): param.fit_max,
+                    ('uncertainty', 'right'): param.uncertainty or '',
                 }
-            row = common_attrs | param_attrs
-            rows.append(row)
+            records.append(record)
 
-        dataframe = pd.DataFrame(rows)
-        return dataframe
+        df = pd.DataFrame.from_records(records)
+        df.columns = pd.MultiIndex.from_tuples(df.columns)
+        return df
 
     def show_all_params(self) -> None:
-        sample_models_params = self.project.sample_models.get_all_params()
-        experiments_params = self.project.experiments.get_all_params()
+        """Print a table with all parameters for sample models and
+        experiments.
+        """
+        sample_models_params = self.project.sample_models.parameters
+        experiments_params = self.project.experiments.parameters
 
         if not sample_models_params and not experiments_params:
-            print(warning('No parameters found.'))
+            log.warning('No parameters found.')
             return
 
-        columns_headers = [
+        tabler = TableRenderer.get()
+
+        filtered_headers = [
             'datablock',
             'category',
             'entry',
@@ -94,46 +128,31 @@ def show_all_params(self) -> None:
             'value',
             'fittable',
         ]
-        columns_alignment = [
-            'left',
-            'left',
-            'left',
-            'left',
-            'right',
-            'left',
-        ]
 
-        sample_models_dataframe = self._get_params_as_dataframe(sample_models_params)
-        sample_models_dataframe = sample_models_dataframe[columns_headers]
+        console.paragraph('All parameters for all sample models (🧩 data blocks)')
+        df = self._get_params_as_dataframe(sample_models_params)
+        filtered_df = df[filtered_headers]
+        tabler.render(filtered_df)
 
-        print(paragraph('All parameters for all sample models (🧩 data blocks)'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=sample_models_dataframe,
-            show_index=True,
-        )
-
-        experiments_dataframe = self._get_params_as_dataframe(experiments_params)
-        experiments_dataframe = experiments_dataframe[columns_headers]
-
-        print(paragraph('All parameters for all experiments (🔬 data blocks)'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=experiments_dataframe,
-            show_index=True,
-        )
+        console.paragraph('All parameters for all experiments (🔬 data blocks)')
+        df = self._get_params_as_dataframe(experiments_params)
+        filtered_df = df[filtered_headers]
+        tabler.render(filtered_df)
 
     def show_fittable_params(self) -> None:
-        sample_models_params = self.project.sample_models.get_fittable_params()
-        experiments_params = self.project.experiments.get_fittable_params()
+        """Print a table with parameters that can be included in
+        fitting.
+        """
+        sample_models_params = self.project.sample_models.fittable_parameters
+        experiments_params = self.project.experiments.fittable_parameters
 
         if not sample_models_params and not experiments_params:
-            print(warning('No fittable parameters found.'))
+            log.warning('No fittable parameters found.')
             return
 
-        columns_headers = [
+        tabler = TableRenderer.get()
+
+        filtered_headers = [
             'datablock',
             'category',
             'entry',
@@ -143,49 +162,32 @@ def show_fittable_params(self) -> None:
             'units',
             'free',
         ]
-        columns_alignment = [
-            'left',
-            'left',
-            'left',
-            'left',
-            'right',
-            'right',
-            'left',
-            'left',
-        ]
-
-        sample_models_dataframe = self._get_params_as_dataframe(sample_models_params)
-        sample_models_dataframe = sample_models_dataframe[columns_headers]
-
-        print(paragraph('Fittable parameters for all sample models (🧩 data blocks)'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=sample_models_dataframe,
-            show_index=True,
-        )
 
-        experiments_dataframe = self._get_params_as_dataframe(experiments_params)
-        experiments_dataframe = experiments_dataframe[columns_headers]
+        console.paragraph('Fittable parameters for all sample models (🧩 data blocks)')
+        df = self._get_params_as_dataframe(sample_models_params)
+        filtered_df = df[filtered_headers]
+        tabler.render(filtered_df)
 
-        print(paragraph('Fittable parameters for all experiments (🔬 data blocks)'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=experiments_dataframe,
-            show_index=True,
-        )
+        console.paragraph('Fittable parameters for all experiments (🔬 data blocks)')
+        df = self._get_params_as_dataframe(experiments_params)
+        filtered_df = df[filtered_headers]
+        tabler.render(filtered_df)
 
     def show_free_params(self) -> None:
-        sample_models_params = self.project.sample_models.get_free_params()
-        experiments_params = self.project.experiments.get_free_params()
+        """Print a table with only currently-free (varying)
+        parameters.
+        """
+        sample_models_params = self.project.sample_models.free_parameters
+        experiments_params = self.project.experiments.free_parameters
         free_params = sample_models_params + experiments_params
 
         if not free_params:
-            print(warning('No free parameters found.'))
+            log.warning('No free parameters found.')
             return
 
-        columns_headers = [
+        tabler = TableRenderer.get()
+
+        filtered_headers = [
             'datablock',
             'category',
             'entry',
@@ -196,44 +198,94 @@ def show_free_params(self) -> None:
             'max',
             'units',
         ]
+
+        console.paragraph(
+            'Free parameters for both sample models (🧩 data blocks) '
+            'and experiments (🔬 data blocks)'
+        )
+        df = self._get_params_as_dataframe(free_params)
+        filtered_df = df[filtered_headers]
+        tabler.render(filtered_df)
+
+    def how_to_access_parameters(self) -> None:
+        """Show Python access paths for all parameters.
+
+        The output explains how to reference specific parameters in
+        code.
+        """
+        sample_models_params = self.project.sample_models.parameters
+        experiments_params = self.project.experiments.parameters
+        all_params = {
+            'sample_models': sample_models_params,
+            'experiments': experiments_params,
+        }
+
+        if not all_params:
+            log.warning('No parameters found.')
+            return
+
+        columns_headers = [
+            'datablock',
+            'category',
+            'entry',
+            'parameter',
+            'How to Access in Python Code',
+        ]
+
         columns_alignment = [
             'left',
             'left',
             'left',
             'left',
-            'right',
-            'right',
-            'right',
-            'right',
             'left',
         ]
 
-        dataframe = self._get_params_as_dataframe(free_params)
-        dataframe = dataframe[columns_headers]
+        columns_data = []
+        project_varname = self.project._varname
+        for datablock_code, params in all_params.items():
+            for param in params:
+                if isinstance(param, (StringDescriptor, NumericDescriptor, Parameter)):
+                    datablock_entry_name = param._identity.datablock_entry_name
+                    category_code = param._identity.category_code
+                    category_entry_name = param._identity.category_entry_name or ''
+                    param_key = param.name
+                    code_variable = (
+                        f'{project_varname}.{datablock_code}'
+                        f"['{datablock_entry_name}'].{category_code}"
+                    )
+                    if category_entry_name:
+                        code_variable += f"['{category_entry_name}']"
+                    code_variable += f'.{param_key}'
+                    columns_data.append([
+                        datablock_entry_name,
+                        category_code,
+                        category_entry_name,
+                        param_key,
+                        code_variable,
+                    ])
 
-        print(
-            paragraph(
-                'Free parameters for both sample models (🧩 data blocks) '
-                'and experiments (🔬 data blocks)'
-            )
-        )
+        console.paragraph('How to access parameters')
         render_table(
             columns_headers=columns_headers,
             columns_alignment=columns_alignment,
-            columns_data=dataframe,
-            show_index=True,
+            columns_data=columns_data,
         )
 
-    def how_to_access_parameters(self) -> None:
-        sample_models_params = self.project.sample_models.get_all_params()
-        experiments_params = self.project.experiments.get_all_params()
+    def show_parameter_cif_uids(self) -> None:
+        """Show CIF unique IDs for all parameters.
+
+        The output explains which unique identifiers are used when
+        creating CIF-based constraints.
+        """
+        sample_models_params = self.project.sample_models.parameters
+        experiments_params = self.project.experiments.parameters
         all_params = {
             'sample_models': sample_models_params,
             'experiments': experiments_params,
         }
 
         if not all_params:
-            print(warning('No parameters found.'))
+            log.warning('No parameters found.')
             return
 
         columns_headers = [
@@ -241,7 +293,6 @@ def how_to_access_parameters(self) -> None:
             'category',
             'entry',
             'parameter',
-            'How to Access in Python Code',
             'Unique Identifier for CIF Constraints',
         ]
 
@@ -251,100 +302,129 @@ def how_to_access_parameters(self) -> None:
             'left',
             'left',
             'left',
-            'left',
         ]
 
         columns_data = []
-        project_varname = self.project._varname
-        for datablock_type, params in all_params.items():
+        for _, params in all_params.items():
             for param in params:
-                if isinstance(param, (Descriptor, Parameter)):
-                    datablock_id = param.datablock_id
-                    category_key = param.category_key
-                    entry_id = param.collection_entry_id
+                if isinstance(param, (StringDescriptor, NumericDescriptor, Parameter)):
+                    datablock_entry_name = param._identity.datablock_entry_name
+                    category_code = param._identity.category_code
+                    category_entry_name = param._identity.category_entry_name or ''
                     param_key = param.name
-                    code_variable = (
-                        f"{project_varname}.{datablock_type}['{datablock_id}'].{category_key}"
-                    )
-                    if entry_id:
-                        code_variable += f"['{entry_id}']"
-                    code_variable += f'.{param_key}'
-                    cif_uid = param._generate_human_readable_unique_id()
+                    cif_uid = param._cif_handler.uid
                     columns_data.append([
-                        datablock_id,
-                        category_key,
-                        entry_id,
+                        datablock_entry_name,
+                        category_code,
+                        category_entry_name,
                         param_key,
-                        code_variable,
                         cif_uid,
                     ])
 
-        print(paragraph('How to access parameters'))
+        console.paragraph('Show parameter CIF unique identifiers')
         render_table(
             columns_headers=columns_headers,
             columns_alignment=columns_alignment,
             columns_data=columns_data,
-            show_index=True,
         )
 
     def show_current_calculator(self) -> None:
-        print(paragraph('Current calculator'))
-        print(self.current_calculator)
+        """Print the name of the currently selected calculator
+        engine.
+        """
+        console.paragraph('Current calculator')
+        console.print(self.current_calculator)
 
     @staticmethod
     def show_supported_calculators() -> None:
+        """Print a table of available calculator backends on this
+        system.
+        """
         CalculatorFactory.show_supported_calculators()
 
     @property
     def current_calculator(self) -> str:
+        """The key/name of the active calculator backend."""
         return self._calculator_key
 
     @current_calculator.setter
     def current_calculator(self, calculator_name: str) -> None:
+        """Switch to a different calculator backend.
+
+        Args:
+            calculator_name: Calculator key to use (e.g. 'cryspy').
+        """
         calculator = CalculatorFactory.create_calculator(calculator_name)
         if calculator is None:
             return
         self.calculator = calculator
         self._calculator_key = calculator_name
-        print(paragraph('Current calculator changed to'))
-        print(self.current_calculator)
+        console.paragraph('Current calculator changed to')
+        console.print(self.current_calculator)
 
     def show_current_minimizer(self) -> None:
-        print(paragraph('Current minimizer'))
-        print(self.current_minimizer)
+        """Print the name of the currently selected minimizer."""
+        console.paragraph('Current minimizer')
+        console.print(self.current_minimizer)
 
     @staticmethod
     def show_available_minimizers() -> None:
+        """Print a table of available minimizer drivers on this
+        system.
+        """
         MinimizerFactory.show_available_minimizers()
 
     @property
     def current_minimizer(self) -> Optional[str]:
+        """The identifier of the active minimizer, if any."""
         return self.fitter.selection if self.fitter else None
 
     @current_minimizer.setter
     def current_minimizer(self, selection: str) -> None:
-        self.fitter = DiffractionMinimizer(selection)
-        print(paragraph('Current minimizer changed to'))
-        print(self.current_minimizer)
+        """Switch to a different minimizer implementation.
+
+        Args:
+            selection: Minimizer selection string, e.g.
+                'lmfit (leastsq)'.
+        """
+        self.fitter = Fitter(selection)
+        console.paragraph('Current minimizer changed to')
+        console.print(self.current_minimizer)
 
     @property
     def fit_mode(self) -> str:
+        """Current fitting strategy: either 'single' or 'joint'."""
         return self._fit_mode
 
     @fit_mode.setter
     def fit_mode(self, strategy: str) -> None:
+        """Set the fitting strategy.
+
+        When set to 'joint', all experiments get default weights and
+        are used together in a single optimization.
+
+        Args:
+                strategy: Either 'single' or 'joint'.
+
+        Raises:
+            ValueError: If an unsupported strategy value is
+                provided.
+        """
         if strategy not in ['single', 'joint']:
             raise ValueError("Fit mode must be either 'single' or 'joint'")
         self._fit_mode = strategy
         if strategy == 'joint' and not hasattr(self, 'joint_fit_experiments'):
             # Pre-populate all experiments with weight 0.5
             self.joint_fit_experiments = JointFitExperiments()
-            for id in self.project.experiments.ids:
-                self.joint_fit_experiments.add(id, weight=0.5)
-        print(paragraph('Current fit mode changed to'))
-        print(self._fit_mode)
+            for id in self.project.experiments.names:
+                self.joint_fit_experiments.add(id=id, weight=0.5)
+        console.paragraph('Current fit mode changed to')
+        console.print(self._fit_mode)
 
     def show_available_fit_modes(self) -> None:
+        """Print all supported fitting strategies and their
+        descriptions.
+        """
         strategies = [
             {
                 'Strategy': 'single',
@@ -365,7 +445,7 @@ def show_available_fit_modes(self) -> None:
             description = item['Description']
             columns_data.append([strategy, description])
 
-        print(paragraph('Available fit modes'))
+        console.paragraph('Available fit modes')
         render_table(
             columns_headers=columns_headers,
             columns_alignment=columns_alignment,
@@ -373,25 +453,16 @@ def show_available_fit_modes(self) -> None:
         )
 
     def show_current_fit_mode(self) -> None:
-        print(paragraph('Current fit mode'))
-        print(self.fit_mode)
-
-    def calculate_pattern(self, expt_name: str) -> None:
-        """Calculate the diffraction pattern for a given experiment. The
-        calculated pattern is stored within the experiment's datastore.
-
-        Args:
-            expt_name: The name of the experiment.
-        """
-        experiment = self.project.experiments[expt_name]
-        sample_models = self.project.sample_models
-        self.calculator.calculate_pattern(sample_models, experiment)
+        """Print the currently active fitting strategy."""
+        console.paragraph('Current fit mode')
+        console.print(self.fit_mode)
 
     def show_constraints(self) -> None:
-        constraints_dict = self.constraints._items
+        """Print a table of all user-defined symbolic constraints."""
+        constraints_dict = dict(self.constraints)
 
         if not self.constraints._items:
-            print(warning('No constraints defined.'))
+            log.warning('No constraints defined.')
             return
 
         rows = []
@@ -407,7 +478,7 @@ def show_constraints(self) -> None:
         alignments = ['left', 'left', 'left']
         rows = [[row[header] for header in headers] for row in rows]
 
-        print(paragraph('User defined constraints'))
+        console.paragraph('User defined constraints')
         render_table(
             columns_headers=headers,
             columns_alignment=alignments,
@@ -415,8 +486,11 @@ def show_constraints(self) -> None:
         )
 
     def apply_constraints(self):
+        """Apply the currently defined constraints to the active
+        project.
+        """
         if not self.constraints._items:
-            print(warning('No constraints defined.'))
+            log.warning('No constraints defined.')
             return
 
         self.constraints_handler.set_aliases(self.aliases)
@@ -424,70 +498,97 @@ def apply_constraints(self):
         self.constraints_handler.apply()
 
     def fit(self):
+        """Execute fitting using the selected mode, calculator and
+        minimizer.
+
+        In 'single' mode, fits each experiment independently. In
+        'joint' mode, performs a simultaneous fit across experiments
+        with weights.
+            Sets :attr:`fit_results` on success.
+        """
         sample_models = self.project.sample_models
         if not sample_models:
-            print('No sample models found in the project. Cannot run fit.')
+            log.warning('No sample models found in the project. Cannot run fit.')
             return
 
         experiments = self.project.experiments
         if not experiments:
-            print('No experiments found in the project. Cannot run fit.')
-            return
-
-        calculator = self.calculator
-        if not calculator:
-            print('No calculator is set. Cannot run fit.')
+            log.warning('No experiments found in the project. Cannot run fit.')
             return
 
         # Run the fitting process
-        experiment_ids = experiments.ids
-
         if self.fit_mode == 'joint':
-            print(
-                paragraph(
-                    f"Using all experiments 🔬 {experiment_ids} for '{self.fit_mode}' fitting"
-                )
+            console.paragraph(
+                f"Using all experiments 🔬 {experiments.names} for '{self.fit_mode}' fitting"
             )
             self.fitter.fit(
                 sample_models,
                 experiments,
-                calculator,
                 weights=self.joint_fit_experiments,
+                analysis=self,
             )
         elif self.fit_mode == 'single':
-            for expt_name in experiments.ids:
-                print(
-                    paragraph(f"Using experiment 🔬 '{expt_name}' for '{self.fit_mode}' fitting")
+            # TODO: Find a better way without creating dummy
+            #  experiments?
+            for expt_name in experiments.names:
+                console.paragraph(
+                    f"Using experiment 🔬 '{expt_name}' for '{self.fit_mode}' fitting"
                 )
                 experiment = experiments[expt_name]
                 dummy_experiments = Experiments()  # TODO: Find a better name
-                dummy_experiments.add(experiment)
-                self.fitter.fit(sample_models, dummy_experiments, calculator)
+
+                # This is a workaround to set the parent project
+                # of the dummy experiments collection, so that
+                # parameters can be resolved correctly during fitting.
+                object.__setattr__(dummy_experiments, '_parent', self.project)
+
+                dummy_experiments._add(experiment)
+                self.fitter.fit(
+                    sample_models,
+                    dummy_experiments,
+                    analysis=self,
+                )
         else:
             raise NotImplementedError(f'Fit mode {self.fit_mode} not implemented yet.')
 
         # After fitting, get the results
         self.fit_results = self.fitter.results
 
-    def as_cif(self):
-        current_minimizer = self.current_minimizer
-        if ' ' in current_minimizer:
-            current_minimizer = f'"{current_minimizer}"'
+    def _update_categories(self, called_by_minimizer=False) -> None:
+        """Update all categories owned by Analysis.
 
-        lines = []
-        lines.append(f'_analysis.calculator_engine  {self.current_calculator}')
-        lines.append(f'_analysis.fitting_engine  {current_minimizer}')
-        lines.append(f'_analysis.fit_mode  {self.fit_mode}')
+        This ensures aliases and constraints are up-to-date before
+        serialization or after parameter changes.
 
-        lines.append('')
-        lines.append(self.aliases.as_cif())
+        Args:
+            called_by_minimizer: Whether this is called during fitting.
+        """
+        # Apply constraints to sync dependent parameters
+        if self.constraints._items:
+            self.constraints_handler.apply()
+
+        # Update category-specific logic
+        # TODO: Need self.categories as in the case of datablock.py
+        for category in [self.aliases, self.constraints]:
+            if hasattr(category, '_update'):
+                category._update(called_by_minimizer=called_by_minimizer)
+
+    def as_cif(self):
+        """Serialize the analysis section to a CIF string.
 
-        lines.append('')
-        lines.append(self.constraints.as_cif())
+        Returns:
+            The analysis section represented as a CIF document string.
+        """
+        from easydiffraction.io.cif.serialize import analysis_to_cif
 
-        return '\n'.join(lines)
+        self._update_categories()
+        return analysis_to_cif(self)
 
     def show_as_cif(self) -> None:
+        """Render the analysis section as CIF in a formatted console
+        view.
+        """
         cif_text: str = self.as_cif()
-        paragraph_title: str = paragraph('Analysis 🧮 info as cif')
-        render_cif(cif_text, paragraph_title)
+        paragraph_title: str = 'Analysis 🧮 info as cif'
+        console.paragraph(paragraph_title)
+        render_cif(cif_text)
diff --git a/src/easydiffraction/analysis/calculation.py b/src/easydiffraction/analysis/calculation.py
deleted file mode 100644
index 3456973f..00000000
--- a/src/easydiffraction/analysis/calculation.py
+++ /dev/null
@@ -1,67 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Any
-from typing import List
-from typing import Optional
-
-from easydiffraction.analysis.calculators.calculator_factory import CalculatorFactory
-from easydiffraction.experiments.experiment import Experiment
-from easydiffraction.experiments.experiments import Experiments
-from easydiffraction.sample_models.sample_models import SampleModels
-
-
-class DiffractionCalculator:
-    """Invokes calculation engines for pattern generation."""
-
-    def __init__(self, engine: str = 'cryspy') -> None:
-        """Initialize the DiffractionCalculator with a specified backend
-        engine.
-
-        Args:
-            engine: Type of the calculation engine to use.
-                    Supported types: 'crysfml', 'cryspy', 'pdffit'.
-                    Default is 'cryspy'.
-        """
-        self.calculator_factory = CalculatorFactory()
-        self._calculator = self.calculator_factory.create_calculator(engine)
-
-    def set_calculator(self, engine: str) -> None:
-        """Switch to a different calculator engine at runtime.
-
-        Args:
-            engine: New calculation engine type to use.
-        """
-        self._calculator = self.calculator_factory.create_calculator(engine)
-
-    def calculate_structure_factors(
-        self,
-        sample_models: SampleModels,
-        experiments: Experiments,
-    ) -> Optional[List[Any]]:
-        """Calculate HKL intensities (structure factors) for sample
-        models and experiments.
-
-        Args:
-            sample_models: Collection of sample models.
-            experiments: Collection of experiments.
-
-        Returns:
-            HKL intensities calculated by the backend calculator.
-        """
-        return self._calculator.calculate_structure_factors(sample_models, experiments)
-
-    def calculate_pattern(
-        self,
-        sample_models: SampleModels,
-        experiment: Experiment,
-    ) -> None:
-        """Calculate diffraction pattern based on sample models and
-        experiment. The calculated pattern is stored within the
-        experiment's datastore.
-
-        Args:
-            sample_models: Collection of sample models.
-            experiment: A single experiment object.
-        """
-        self._calculator.calculate_pattern(sample_models, experiment)
diff --git a/src/easydiffraction/analysis/calculators/base.py b/src/easydiffraction/analysis/calculators/base.py
new file mode 100644
index 00000000..70872b6f
--- /dev/null
+++ b/src/easydiffraction/analysis/calculators/base.py
@@ -0,0 +1,57 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from abc import ABC
+from abc import abstractmethod
+
+import numpy as np
+
+from easydiffraction.experiments.experiment.base import ExperimentBase
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
+from easydiffraction.sample_models.sample_models import SampleModels
+
+
+class CalculatorBase(ABC):
+    """Base API for diffraction calculation engines."""
+
+    @property
+    @abstractmethod
+    def name(self) -> str:
+        pass
+
+    @property
+    @abstractmethod
+    def engine_imported(self) -> bool:
+        pass
+
+    @abstractmethod
+    def calculate_structure_factors(
+        self,
+        sample_model: SampleModelBase,
+        experiment: ExperimentBase,
+    ) -> None:
+        """Calculate structure factors for a single sample model and
+        experiment.
+        """
+        pass
+
+    @abstractmethod
+    def calculate_pattern(
+        self,
+        sample_model: SampleModels,  # TODO: SampleModelBase?
+        experiment: ExperimentBase,
+        called_by_minimizer: bool,
+    ) -> np.ndarray:
+        """Calculate the diffraction pattern for a single sample model
+        and experiment.
+
+        Args:
+            sample_model: The sample model object.
+            experiment: The experiment object.
+            called_by_minimizer: Whether the calculation is called by a
+                minimizer.
+
+        Returns:
+            The calculated diffraction pattern as a NumPy array.
+        """
+        pass
diff --git a/src/easydiffraction/analysis/calculators/calculator_base.py b/src/easydiffraction/analysis/calculators/calculator_base.py
deleted file mode 100644
index 7fef0b91..00000000
--- a/src/easydiffraction/analysis/calculators/calculator_base.py
+++ /dev/null
@@ -1,153 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from abc import ABC
-from abc import abstractmethod
-from typing import Any
-from typing import List
-
-import numpy as np
-
-from easydiffraction.core.singletons import ConstraintsHandler
-from easydiffraction.experiments.experiment import Experiment
-from easydiffraction.sample_models.sample_model import SampleModel
-from easydiffraction.sample_models.sample_models import SampleModels
-
-
-class CalculatorBase(ABC):
-    """Base API for diffraction calculation engines."""
-
-    @property
-    @abstractmethod
-    def name(self) -> str:
-        pass
-
-    @property
-    @abstractmethod
-    def engine_imported(self) -> bool:
-        pass
-
-    @abstractmethod
-    def calculate_structure_factors(
-        self,
-        sample_model: SampleModel,
-        experiment: Experiment,
-    ) -> None:
-        """Calculate structure factors for a single sample model and
-        experiment.
-        """
-        pass
-
-    def calculate_pattern(
-        self,
-        sample_models: SampleModels,
-        experiment: Experiment,
-        called_by_minimizer: bool = False,
-    ) -> None:
-        """Calculate the diffraction pattern for multiple sample models
-        and a single experiment. The calculated pattern is stored within
-        the experiment's datastore.
-
-        Args:
-            sample_models: Collection of sample models.
-            experiment: The experiment object.
-            called_by_minimizer: Whether the calculation is called by a
-                minimizer.
-        """
-        x_data = experiment.datastore.x
-        y_calc_zeros = np.zeros_like(x_data)
-
-        valid_linked_phases = self._get_valid_linked_phases(sample_models, experiment)
-
-        # Apply user constraints to all sample models
-        constraints = ConstraintsHandler.get()
-        constraints.apply()
-
-        # Calculate contributions from valid linked sample models
-        y_calc_scaled = y_calc_zeros
-        for linked_phase in valid_linked_phases:
-            sample_model_id = linked_phase._entry_id
-            sample_model_scale = linked_phase.scale.value
-            sample_model = sample_models[sample_model_id]
-
-            # Apply symmetry constraints
-            sample_model.apply_symmetry_constraints()
-
-            sample_model_y_calc = self._calculate_single_model_pattern(
-                sample_model,
-                experiment,
-                called_by_minimizer=called_by_minimizer,
-            )
-
-            # if not sample_model_y_calc:
-            #    return np.ndarray([])
-
-            sample_model_y_calc_scaled = sample_model_scale * sample_model_y_calc
-            y_calc_scaled += sample_model_y_calc_scaled
-
-        # Calculate background contribution
-        y_bkg = np.zeros_like(x_data)
-        if hasattr(experiment, 'background'):
-            y_bkg = experiment.background.calculate(x_data)
-        experiment.datastore.bkg = y_bkg
-
-        # Calculate total pattern
-        y_calc_total = y_calc_scaled + y_bkg
-        experiment.datastore.calc = y_calc_total
-
-    @abstractmethod
-    def _calculate_single_model_pattern(
-        self,
-        sample_model: SampleModels,
-        experiment: Experiment,
-        called_by_minimizer: bool,
-    ) -> np.ndarray:
-        """Calculate the diffraction pattern for a single sample model
-        and experiment.
-
-        Args:
-            sample_model: The sample model object.
-            experiment: The experiment object.
-            called_by_minimizer: Whether the calculation is called by a
-                minimizer.
-
-        Returns:
-            The calculated diffraction pattern as a NumPy array.
-        """
-        pass
-
-    def _get_valid_linked_phases(
-        self,
-        sample_models: SampleModels,
-        experiment: Experiment,
-    ) -> List[Any]:
-        """Get valid linked phases from the experiment.
-
-        Args:
-            sample_models: Collection of sample models.
-            experiment: The experiment object.
-
-        Returns:
-            A list of valid linked phases.
-        """
-        if not experiment.linked_phases:
-            print('Warning: No linked phases found. Returning empty pattern.')
-            return []
-
-        valid_linked_phases = []
-        for linked_phase in experiment.linked_phases:
-            if linked_phase._entry_id not in sample_models.get_ids():
-                print(
-                    f"Warning: Linked phase '{linked_phase.id.value}' not "
-                    f'found in Sample Models {sample_models.get_ids()}'
-                )
-                continue
-            valid_linked_phases.append(linked_phase)
-
-        if not valid_linked_phases:
-            print(
-                'Warning: None of the linked phases found in Sample '
-                'Models. Returning empty pattern.'
-            )
-
-        return valid_linked_phases
diff --git a/src/easydiffraction/analysis/calculators/calculator_crysfml.py b/src/easydiffraction/analysis/calculators/crysfml.py
similarity index 93%
rename from src/easydiffraction/analysis/calculators/calculator_crysfml.py
rename to src/easydiffraction/analysis/calculators/crysfml.py
index 76edb5a7..c8658d27 100644
--- a/src/easydiffraction/analysis/calculators/calculator_crysfml.py
+++ b/src/easydiffraction/analysis/calculators/crysfml.py
@@ -8,10 +8,10 @@
 
 import numpy as np
 
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
-from easydiffraction.experiments.experiment import Experiment
+from easydiffraction.analysis.calculators.base import CalculatorBase
+from easydiffraction.experiments.experiment.base import ExperimentBase
 from easydiffraction.experiments.experiments import Experiments
-from easydiffraction.sample_models.sample_models import SampleModel
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
 from easydiffraction.sample_models.sample_models import SampleModels
 
 try:
@@ -51,10 +51,10 @@ def calculate_structure_factors(
         """
         raise NotImplementedError('HKL calculation is not implemented for CrysfmlCalculator.')
 
-    def _calculate_single_model_pattern(
+    def calculate_pattern(
         self,
         sample_model: SampleModels,
-        experiment: Experiment,
+        experiment: ExperimentBase,
         called_by_minimizer: bool = False,
     ) -> Union[np.ndarray, List[float]]:
         """Calculates the diffraction pattern using Crysfml for the
@@ -76,7 +76,7 @@ def _calculate_single_model_pattern(
         crysfml_dict = self._crysfml_dict(sample_model, experiment)
         try:
             _, y = cfml_py_utilities.cw_powder_pattern_from_dict(crysfml_dict)
-            y = self._adjust_pattern_length(y, len(experiment.datastore.x))
+            y = self._adjust_pattern_length(y, len(experiment.data.x))
         except KeyError:
             print('[CrysfmlCalculator] Error: No calculated data')
             y = []
@@ -105,8 +105,8 @@ def _adjust_pattern_length(
     def _crysfml_dict(
         self,
         sample_model: SampleModels,
-        experiment: Experiment,
-    ) -> Dict[str, Union[Experiment, SampleModel]]:
+        experiment: ExperimentBase,
+    ) -> Dict[str, Union[ExperimentBase, SampleModelBase]]:
         """Converts the sample model and experiment into a dictionary
         format for Crysfml.
 
@@ -127,7 +127,7 @@ def _crysfml_dict(
 
     def _convert_sample_model_to_dict(
         self,
-        sample_model: SampleModel,
+        sample_model: SampleModelBase,
     ) -> Dict[str, Any]:
         """Converts a sample model into a dictionary format.
 
@@ -167,7 +167,7 @@ def _convert_sample_model_to_dict(
 
     def _convert_experiment_to_dict(
         self,
-        experiment: Experiment,
+        experiment: ExperimentBase,
     ) -> Dict[str, Any]:
         """Converts an experiment into a dictionary format.
 
@@ -181,7 +181,7 @@ def _convert_experiment_to_dict(
         instrument = getattr(experiment, 'instrument', None)
         peak = getattr(experiment, 'peak', None)
 
-        x_data = experiment.datastore.x
+        x_data = experiment.data.x
         twotheta_min = float(x_data.min())
         twotheta_max = float(x_data.max())
 
diff --git a/src/easydiffraction/analysis/calculators/calculator_cryspy.py b/src/easydiffraction/analysis/calculators/cryspy.py
similarity index 80%
rename from src/easydiffraction/analysis/calculators/calculator_cryspy.py
rename to src/easydiffraction/analysis/calculators/cryspy.py
index d2a345a3..954bb231 100644
--- a/src/easydiffraction/analysis/calculators/calculator_cryspy.py
+++ b/src/easydiffraction/analysis/calculators/cryspy.py
@@ -11,10 +11,10 @@
 
 import numpy as np
 
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.experiment import Experiment
-from easydiffraction.sample_models.sample_model import SampleModel
+from easydiffraction.analysis.calculators.base import CalculatorBase
+from easydiffraction.experiments.experiment.base import ExperimentBase
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
 
 try:
     import cryspy
@@ -49,8 +49,8 @@ def __init__(self) -> None:
 
     def calculate_structure_factors(
         self,
-        sample_model: SampleModel,
-        experiment: Experiment,
+        sample_model: SampleModelBase,
+        experiment: ExperimentBase,
     ) -> None:
         """Raises a NotImplementedError as HKL calculation is not
         implemented.
@@ -63,10 +63,10 @@ def calculate_structure_factors(
         """
         raise NotImplementedError('HKL calculation is not implemented for CryspyCalculator.')
 
-    def _calculate_single_model_pattern(
+    def calculate_pattern(
         self,
-        sample_model: SampleModel,
-        experiment: Experiment,
+        sample_model: SampleModelBase,
+        experiment: ExperimentBase,
         called_by_minimizer: bool = False,
     ) -> Union[np.ndarray, List[float]]:
         """Calculates the diffraction pattern using Cryspy for the given
@@ -141,8 +141,8 @@ def _calculate_single_model_pattern(
 
     def _recreate_cryspy_dict(
         self,
-        sample_model: SampleModel,
-        experiment: Experiment,
+        sample_model: SampleModelBase,
+        experiment: ExperimentBase,
     ) -> Dict[str, Any]:
         """Recreates the Cryspy dictionary for the given sample model
         and experiment.
@@ -160,6 +160,8 @@ def _recreate_cryspy_dict(
         cryspy_model_id = f'crystal_{sample_model.name}'
         cryspy_model_dict = cryspy_dict[cryspy_model_id]
 
+        # Update sample model parameters
+
         # Cell
         cryspy_cell = cryspy_model_dict['unit_cell_parameters']
         cryspy_cell[0] = sample_model.cell.length_a.value
@@ -186,15 +188,18 @@ def _recreate_cryspy_dict(
         for idx, atom_site in enumerate(sample_model.atom_sites):
             cryspy_biso[idx] = atom_site.b_iso.value
 
-        # ---------- Update experiment parameters ----------
+        # Update experiment parameters
+
         if experiment.type.beam_mode.value == BeamModeEnum.CONSTANT_WAVELENGTH:
             cryspy_expt_name = f'pd_{experiment.name}'
             cryspy_expt_dict = cryspy_dict[cryspy_expt_name]
+
             # Instrument
             cryspy_expt_dict['offset_ttheta'][0] = np.deg2rad(
                 experiment.instrument.calib_twotheta_offset.value
             )
             cryspy_expt_dict['wavelength'][0] = experiment.instrument.setup_wavelength.value
+
             # Peak
             cryspy_resolution = cryspy_expt_dict['resolution_parameters']
             cryspy_resolution[0] = experiment.peak.broad_gauss_u.value
@@ -206,6 +211,7 @@ def _recreate_cryspy_dict(
         elif experiment.type.beam_mode.value == BeamModeEnum.TIME_OF_FLIGHT:
             cryspy_expt_name = f'tof_{experiment.name}'
             cryspy_expt_dict = cryspy_dict[cryspy_expt_name]
+
             # Instrument
             cryspy_expt_dict['zero'][0] = experiment.instrument.calib_d_to_tof_offset.value
             cryspy_expt_dict['dtt1'][0] = experiment.instrument.calib_d_to_tof_linear.value
@@ -213,6 +219,7 @@ def _recreate_cryspy_dict(
             cryspy_expt_dict['ttheta_bank'] = np.deg2rad(
                 experiment.instrument.setup_twotheta_bank.value
             )
+
             # Peak
             cryspy_sigma = cryspy_expt_dict['profile_sigmas']
             cryspy_sigma[0] = experiment.peak.broad_gauss_sigma_0.value
@@ -231,8 +238,8 @@ def _recreate_cryspy_dict(
 
     def _recreate_cryspy_obj(
         self,
-        sample_model: SampleModel,
-        experiment: Experiment,
+        sample_model: SampleModelBase,
+        experiment: ExperimentBase,
     ) -> Any:
         """Recreates the Cryspy object for the given sample model and
         experiment.
@@ -263,7 +270,7 @@ def _recreate_cryspy_obj(
 
     def _convert_sample_model_to_cryspy_cif(
         self,
-        sample_model: SampleModel,
+        sample_model: SampleModelBase,
     ) -> str:
         """Converts a sample model to a Cryspy CIF string.
 
@@ -273,11 +280,11 @@ def _convert_sample_model_to_cryspy_cif(
         Returns:
             The Cryspy CIF string representation of the sample model.
         """
-        return sample_model.as_cif()
+        return sample_model.as_cif
 
     def _convert_experiment_to_cryspy_cif(
         self,
-        experiment: Experiment,
+        experiment: ExperimentBase,
         linked_phase: Any,
     ) -> str:
         """Converts an experiment to a Cryspy CIF string.
@@ -304,44 +311,56 @@ def _convert_experiment_to_cryspy_cif(
             cif_lines.append(f'_setup_radiation {radiation_probe}')
 
         if instrument:
-            instrument_mapping = {
-                'setup_wavelength': '_setup_wavelength',
-                'calib_twotheta_offset': '_setup_offset_2theta',
-                'setup_twotheta_bank': '_tof_parameters_2theta_bank',
-                'calib_d_to_tof_offset': '_tof_parameters_Zero',
-                'calib_d_to_tof_linear': '_tof_parameters_Dtt1',
-                'calib_d_to_tof_quad': '_tof_parameters_dtt2',
-            }
+            # Restrict to only attributes relevant for the beam mode to
+            # avoid probing non-existent guarded attributes (which
+            # triggers diagnostics).
+            if expt_type.beam_mode.value == BeamModeEnum.CONSTANT_WAVELENGTH:
+                instrument_mapping = {
+                    'setup_wavelength': '_setup_wavelength',
+                    'calib_twotheta_offset': '_setup_offset_2theta',
+                }
+            elif expt_type.beam_mode.value == BeamModeEnum.TIME_OF_FLIGHT:
+                instrument_mapping = {
+                    'setup_twotheta_bank': '_tof_parameters_2theta_bank',
+                    'calib_d_to_tof_offset': '_tof_parameters_Zero',
+                    'calib_d_to_tof_linear': '_tof_parameters_Dtt1',
+                    'calib_d_to_tof_quad': '_tof_parameters_dtt2',
+                }
             cif_lines.append('')
             for local_attr_name, engine_key_name in instrument_mapping.items():
-                if hasattr(instrument, local_attr_name):
-                    attr_value = getattr(instrument, local_attr_name).value
-                    cif_lines.append(f'{engine_key_name} {attr_value}')
+                # attr_obj = instrument.__dict__.get(local_attr_name)
+                attr_obj = getattr(instrument, local_attr_name)
+                if attr_obj is not None:
+                    cif_lines.append(f'{engine_key_name} {attr_obj.value}')
 
         if peak:
-            peak_mapping = {
-                'broad_gauss_u': '_pd_instr_resolution_U',
-                'broad_gauss_v': '_pd_instr_resolution_V',
-                'broad_gauss_w': '_pd_instr_resolution_W',
-                'broad_lorentz_x': '_pd_instr_resolution_X',
-                'broad_lorentz_y': '_pd_instr_resolution_Y',
-                'broad_gauss_sigma_0': '_tof_profile_sigma0',
-                'broad_gauss_sigma_1': '_tof_profile_sigma1',
-                'broad_gauss_sigma_2': '_tof_profile_sigma2',
-                'broad_mix_beta_0': '_tof_profile_beta0',
-                'broad_mix_beta_1': '_tof_profile_beta1',
-                'asym_alpha_0': '_tof_profile_alpha0',
-                'asym_alpha_1': '_tof_profile_alpha1',
-            }
-            cif_lines.append('')
-            if expt_type.beam_mode.value == BeamModeEnum.TIME_OF_FLIGHT:
+            if expt_type.beam_mode.value == BeamModeEnum.CONSTANT_WAVELENGTH:
+                peak_mapping = {
+                    'broad_gauss_u': '_pd_instr_resolution_U',
+                    'broad_gauss_v': '_pd_instr_resolution_V',
+                    'broad_gauss_w': '_pd_instr_resolution_W',
+                    'broad_lorentz_x': '_pd_instr_resolution_X',
+                    'broad_lorentz_y': '_pd_instr_resolution_Y',
+                }
+            elif expt_type.beam_mode.value == BeamModeEnum.TIME_OF_FLIGHT:
+                peak_mapping = {
+                    'broad_gauss_sigma_0': '_tof_profile_sigma0',
+                    'broad_gauss_sigma_1': '_tof_profile_sigma1',
+                    'broad_gauss_sigma_2': '_tof_profile_sigma2',
+                    'broad_mix_beta_0': '_tof_profile_beta0',
+                    'broad_mix_beta_1': '_tof_profile_beta1',
+                    'asym_alpha_0': '_tof_profile_alpha0',
+                    'asym_alpha_1': '_tof_profile_alpha1',
+                }
                 cif_lines.append('_tof_profile_peak_shape Gauss')
+            cif_lines.append('')
             for local_attr_name, engine_key_name in peak_mapping.items():
-                if hasattr(peak, local_attr_name):
-                    attr_value = getattr(peak, local_attr_name).value
-                    cif_lines.append(f'{engine_key_name} {attr_value}')
+                # attr_obj = peak.__dict__.get(local_attr_name)
+                attr_obj = getattr(peak, local_attr_name)
+                if attr_obj is not None:
+                    cif_lines.append(f'{engine_key_name} {attr_obj.value}')
 
-        x_data = experiment.datastore.x
+        x_data = experiment.data.x
         twotheta_min = float(x_data.min())
         twotheta_max = float(x_data.max())
         cif_lines.append('')
@@ -386,8 +405,9 @@ def _convert_experiment_to_cryspy_cif(
             cif_lines.append('_tof_meas_intensity')
             cif_lines.append('_tof_meas_intensity_sigma')
 
-        y_data = experiment.datastore.meas
-        sy_data = experiment.datastore.meas_su
+        y_data: np.ndarray = experiment.data.meas
+        sy_data: np.ndarray = experiment.data.meas_su
+
         for x_val, y_val, sy_val in zip(x_data, y_data, sy_data, strict=True):
             cif_lines.append(f'  {x_val:.5f}   {y_val:.5f}   {sy_val:.5f}')
 
diff --git a/src/easydiffraction/analysis/calculators/calculator_factory.py b/src/easydiffraction/analysis/calculators/factory.py
similarity index 56%
rename from src/easydiffraction/analysis/calculators/calculator_factory.py
rename to src/easydiffraction/analysis/calculators/factory.py
index d354dc29..5392c5a6 100644
--- a/src/easydiffraction/analysis/calculators/calculator_factory.py
+++ b/src/easydiffraction/analysis/calculators/factory.py
@@ -7,16 +7,24 @@
 from typing import Type
 from typing import Union
 
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
-from easydiffraction.analysis.calculators.calculator_crysfml import CrysfmlCalculator
-from easydiffraction.analysis.calculators.calculator_cryspy import CryspyCalculator
-from easydiffraction.analysis.calculators.calculator_pdffit import PdffitCalculator
-from easydiffraction.utils.formatting import error
-from easydiffraction.utils.formatting import paragraph
+from easydiffraction.analysis.calculators.base import CalculatorBase
+from easydiffraction.analysis.calculators.crysfml import CrysfmlCalculator
+from easydiffraction.analysis.calculators.cryspy import CryspyCalculator
+from easydiffraction.analysis.calculators.pdffit import PdffitCalculator
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
 from easydiffraction.utils.utils import render_table
 
 
 class CalculatorFactory:
+    """Factory for creating calculation engine instances.
+
+    The factory exposes discovery helpers to list and show available
+    calculators in the current environment and a creator that returns an
+    instantiated calculator or ``None`` if the requested one is not
+    available.
+    """
+
     _potential_calculators: Dict[str, Dict[str, Union[str, Type[CalculatorBase]]]] = {
         'crysfml': {
             'description': 'CrysFML library for crystallographic calculations',
@@ -36,6 +44,14 @@ class CalculatorFactory:
     def _supported_calculators(
         cls,
     ) -> Dict[str, Dict[str, Union[str, Type[CalculatorBase]]]]:
+        """Return calculators whose engines are importable.
+
+        This filters the list of potential calculators by instantiating
+        their classes and checking the ``engine_imported`` property.
+
+        Returns:
+            Mapping from calculator name to its config dict.
+        """
         return {
             name: cfg
             for name, cfg in cls._potential_calculators.items()
@@ -44,10 +60,16 @@ def _supported_calculators(
 
     @classmethod
     def list_supported_calculators(cls) -> List[str]:
+        """List names of calculators available in the environment.
+
+        Returns:
+            List of calculator identifiers, e.g. ``["crysfml", ...]``.
+        """
         return list(cls._supported_calculators().keys())
 
     @classmethod
     def show_supported_calculators(cls) -> None:
+        """Pretty-print supported calculators and their descriptions."""
         columns_headers: List[str] = ['Calculator', 'Description']
         columns_alignment = ['left', 'left']
         columns_data: List[List[str]] = []
@@ -55,7 +77,7 @@ def show_supported_calculators(cls) -> None:
             description: str = config.get('description', 'No description provided.')
             columns_data.append([name, description])
 
-        print(paragraph('Supported calculators'))
+        console.paragraph('Supported calculators')
         render_table(
             columns_headers=columns_headers,
             columns_alignment=columns_alignment,
@@ -64,10 +86,20 @@ def show_supported_calculators(cls) -> None:
 
     @classmethod
     def create_calculator(cls, calculator_name: str) -> Optional[CalculatorBase]:
+        """Create a calculator instance by name.
+
+        Args:
+            calculator_name: Identifier of the calculator to create.
+
+        Returns:
+            A calculator instance or ``None`` if unknown or unsupported.
+        """
         config = cls._supported_calculators().get(calculator_name)
         if not config:
-            print(error(f"Unknown calculator '{calculator_name}'"))
-            print(f'Supported calculators: {cls.list_supported_calculators()}')
+            log.warning(
+                f"Unknown calculator '{calculator_name}', "
+                f'Supported calculators: {cls.list_supported_calculators()}'
+            )
             return None
 
         return config['class']()
diff --git a/src/easydiffraction/analysis/calculators/calculator_pdffit.py b/src/easydiffraction/analysis/calculators/pdffit.py
similarity index 86%
rename from src/easydiffraction/analysis/calculators/calculator_pdffit.py
rename to src/easydiffraction/analysis/calculators/pdffit.py
index 25d55acf..c25fda7f 100644
--- a/src/easydiffraction/analysis/calculators/calculator_pdffit.py
+++ b/src/easydiffraction/analysis/calculators/pdffit.py
@@ -1,5 +1,10 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
+"""PDF calculation backend using diffpy.pdffit2 if available.
+
+The class adapts the engine to EasyDiffraction calculator interface and
+silences stdio on import to avoid noisy output in notebooks and logs.
+"""
 
 import os
 import re
@@ -8,9 +13,9 @@
 
 import numpy as np
 
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
-from easydiffraction.experiments.experiment import Experiment
-from easydiffraction.sample_models.sample_model import SampleModel
+from easydiffraction.analysis.calculators.base import CalculatorBase
+from easydiffraction.experiments.experiment.base import ExperimentBase
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
 
 try:
     from diffpy.pdffit2 import PdfFit
@@ -49,10 +54,10 @@ def calculate_structure_factors(self, sample_models, experiments):
         print('[pdffit] Calculating HKLs (not applicable)...')
         return []
 
-    def _calculate_single_model_pattern(
+    def calculate_pattern(
         self,
-        sample_model: SampleModel,
-        experiment: Experiment,
+        sample_model: SampleModelBase,
+        experiment: ExperimentBase,
         called_by_minimizer: bool = False,
     ):
         # Intentionally unused, required by public API/signature
@@ -67,7 +72,7 @@ def _calculate_single_model_pattern(
 
         # TODO: move CIF v2 -> CIF v1 conversion to a separate module
         # Convert the sample model to CIF supported by PDFfit
-        cif_string_v2 = sample_model.as_cif()
+        cif_string_v2 = sample_model.as_cif
         # convert to version 1 of CIF format
         # this means: replace all dots with underscores for
         # cases where the dot is surrounded by letters on both sides.
@@ -92,7 +97,7 @@ def _calculate_single_model_pattern(
         calculator.setvar('spdiameter', experiment.peak.damp_particle_diameter.value)
 
         # Data
-        x = list(experiment.datastore.x)
+        x = list(experiment.data.x)
         y_noise = list(np.zeros_like(x))
 
         # Assign the data to the PDFfit calculator
diff --git a/src/easydiffraction/analysis/collections/__init__.py b/src/easydiffraction/analysis/categories/__init__.py
similarity index 100%
rename from src/easydiffraction/analysis/collections/__init__.py
rename to src/easydiffraction/analysis/categories/__init__.py
diff --git a/src/easydiffraction/analysis/categories/aliases.py b/src/easydiffraction/analysis/categories/aliases.py
new file mode 100644
index 00000000..cb171742
--- /dev/null
+++ b/src/easydiffraction/analysis/categories/aliases.py
@@ -0,0 +1,106 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Alias category for mapping friendly names to parameter UIDs.
+
+Defines a small record type used by analysis configuration to refer to
+parameters via readable labels instead of raw unique identifiers.
+"""
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class Alias(CategoryItem):
+    """Single alias entry.
+
+    Maps a human-readable ``label`` to a concrete ``param_uid`` used by
+    the engine.
+
+    Args:
+        label: Alias label. Must match ``^[A-Za-z_][A-Za-z0-9_]*$``.
+        param_uid: Target parameter uid. Same identifier pattern as
+            ``label``.
+    """
+
+    def __init__(
+        self,
+        *,
+        label: str,
+        param_uid: str,
+    ) -> None:
+        super().__init__()
+
+        self._label: StringDescriptor = StringDescriptor(
+            name='label',
+            description='...',
+            value_spec=AttributeSpec(
+                value=label,
+                type_=DataTypes.STRING,
+                default='...',
+                content_validator=RegexValidator(pattern=r'^[A-Za-z_][A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_alias.label',
+                ]
+            ),
+        )
+        self._param_uid: StringDescriptor = StringDescriptor(
+            name='param_uid',
+            description='...',
+            value_spec=AttributeSpec(
+                value=param_uid,
+                type_=DataTypes.STRING,
+                default='...',
+                content_validator=RegexValidator(pattern=r'^[A-Za-z_][A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_alias.param_uid',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'alias'
+        self._identity.category_entry_name = lambda: str(self.label.value)
+
+    @property
+    def label(self):
+        """Alias label descriptor."""
+        return self._label
+
+    @label.setter
+    def label(self, value):
+        """Set alias label.
+
+        Args:
+            value: New label.
+        """
+        self._label.value = value
+
+    @property
+    def param_uid(self):
+        """Parameter uid descriptor the alias points to."""
+        return self._param_uid
+
+    @param_uid.setter
+    def param_uid(self, value):
+        """Set the parameter uid.
+
+        Args:
+            value: New uid.
+        """
+        self._param_uid.value = value
+
+
+class Aliases(CategoryCollection):
+    """Collection of :class:`Alias` items."""
+
+    def __init__(self):
+        """Create an empty collection of aliases."""
+        super().__init__(item_type=Alias)
diff --git a/src/easydiffraction/analysis/categories/constraints.py b/src/easydiffraction/analysis/categories/constraints.py
new file mode 100644
index 00000000..ba10ff3c
--- /dev/null
+++ b/src/easydiffraction/analysis/categories/constraints.py
@@ -0,0 +1,111 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Simple symbolic constraint between parameters.
+
+Represents an equation of the form ``lhs_alias = rhs_expr`` where
+``rhs_expr`` is evaluated elsewhere by the analysis engine.
+"""
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.singletons import ConstraintsHandler
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class Constraint(CategoryItem):
+    """Single constraint item.
+
+    Args:
+        lhs_alias: Left-hand side alias name being constrained.
+        rhs_expr: Right-hand side expression as a string.
+    """
+
+    def __init__(
+        self,
+        *,
+        lhs_alias: str,
+        rhs_expr: str,
+    ) -> None:
+        super().__init__()
+
+        self._lhs_alias: StringDescriptor = StringDescriptor(
+            name='lhs_alias',
+            description='...',
+            value_spec=AttributeSpec(
+                value=lhs_alias,
+                type_=DataTypes.STRING,
+                default='...',
+                content_validator=RegexValidator(pattern=r'.*'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_constraint.lhs_alias',
+                ]
+            ),
+        )
+        self._rhs_expr: StringDescriptor = StringDescriptor(
+            name='rhs_expr',
+            description='...',
+            value_spec=AttributeSpec(
+                value=rhs_expr,
+                type_=DataTypes.STRING,
+                default='...',
+                content_validator=RegexValidator(pattern=r'.*'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_constraint.rhs_expr',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'constraint'
+        self._identity.category_entry_name = lambda: str(self.lhs_alias.value)
+
+    @property
+    def lhs_alias(self):
+        """Alias name on the left-hand side of the equation."""
+        return self._lhs_alias
+
+    @lhs_alias.setter
+    def lhs_alias(self, value):
+        """Set the left-hand side alias.
+
+        Args:
+            value: New alias string.
+        """
+        self._lhs_alias.value = value
+
+    @property
+    def rhs_expr(self):
+        """Right-hand side expression string."""
+        return self._rhs_expr
+
+    @rhs_expr.setter
+    def rhs_expr(self, value):
+        """Set the right-hand side expression.
+
+        Args:
+            value: New expression string.
+        """
+        self._rhs_expr.value = value
+
+
+class Constraints(CategoryCollection):
+    """Collection of :class:`Constraint` items."""
+
+    _update_priority = 90  # After most others, but before data categories
+
+    def __init__(self):
+        """Create an empty constraints collection."""
+        super().__init__(item_type=Constraint)
+
+    def _update(self, called_by_minimizer=False):
+        del called_by_minimizer
+
+        constraints = ConstraintsHandler.get()
+        constraints.apply()
diff --git a/src/easydiffraction/analysis/categories/joint_fit_experiments.py b/src/easydiffraction/analysis/categories/joint_fit_experiments.py
new file mode 100644
index 00000000..a6422236
--- /dev/null
+++ b/src/easydiffraction/analysis/categories/joint_fit_experiments.py
@@ -0,0 +1,104 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Joint-fit experiment weighting configuration.
+
+Stores per-experiment weights to be used when multiple experiments are
+fitted simultaneously.
+"""
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class JointFitExperiment(CategoryItem):
+    """A single joint-fit entry.
+
+    Args:
+        id: Experiment identifier used in the fit session.
+        weight: Relative weight factor in the combined objective.
+    """
+
+    def __init__(
+        self,
+        *,
+        id: str,
+        weight: float,
+    ) -> None:
+        super().__init__()
+
+        self._id: StringDescriptor = StringDescriptor(
+            name='id',  # TODO: need new name instead of id
+            description='...',
+            value_spec=AttributeSpec(
+                value=id,
+                type_=DataTypes.STRING,
+                default='...',
+                content_validator=RegexValidator(pattern=r'^[A-Za-z_][A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_joint_fit_experiment.id',
+                ]
+            ),
+        )
+        self._weight: NumericDescriptor = NumericDescriptor(
+            name='weight',
+            description='...',
+            value_spec=AttributeSpec(
+                value=weight,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_joint_fit_experiment.weight',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'joint_fit_experiment'
+        self._identity.category_entry_name = lambda: str(self.id.value)
+
+    @property
+    def id(self):
+        """Experiment identifier descriptor."""
+        return self._id
+
+    @id.setter
+    def id(self, value):
+        """Set the experiment identifier.
+
+        Args:
+            value: New id string.
+        """
+        self._id.value = value
+
+    @property
+    def weight(self):
+        """Weight factor descriptor."""
+        return self._weight
+
+    @weight.setter
+    def weight(self, value):
+        """Set the weight factor.
+
+        Args:
+            value: New weight value.
+        """
+        self._weight.value = value
+
+
+class JointFitExperiments(CategoryCollection):
+    """Collection of :class:`JointFitExperiment` items."""
+
+    def __init__(self):
+        """Create an empty joint-fit experiments collection."""
+        super().__init__(item_type=JointFitExperiment)
diff --git a/src/easydiffraction/analysis/collections/aliases.py b/src/easydiffraction/analysis/collections/aliases.py
deleted file mode 100644
index 76820fde..00000000
--- a/src/easydiffraction/analysis/collections/aliases.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Type
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-
-
-class Alias(Component):
-    @property
-    def category_key(self) -> str:
-        return 'alias'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'alias'
-
-    def __init__(self, label: str, param_uid: str) -> None:
-        super().__init__()
-
-        self.label: Descriptor = Descriptor(
-            value=label,
-            name='label',
-            cif_name='label',
-        )
-        self.param_uid: Descriptor = Descriptor(
-            value=param_uid,
-            name='param_uid',
-            cif_name='param_uid',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = label
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class Aliases(Collection):
-    @property
-    def _type(self) -> str:
-        return 'category'  # datablock or category
-
-    @property
-    def _child_class(self) -> Type[Alias]:
-        return Alias
diff --git a/src/easydiffraction/analysis/collections/constraints.py b/src/easydiffraction/analysis/collections/constraints.py
deleted file mode 100644
index c7f032f5..00000000
--- a/src/easydiffraction/analysis/collections/constraints.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Type
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-
-
-class Constraint(Component):
-    @property
-    def category_key(self) -> str:
-        return 'constraint'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'constraint'
-
-    def __init__(self, lhs_alias: str, rhs_expr: str) -> None:
-        super().__init__()
-
-        self.lhs_alias: Descriptor = Descriptor(
-            value=lhs_alias,
-            name='lhs_alias',
-            cif_name='lhs_alias',
-        )
-        self.rhs_expr: Descriptor = Descriptor(
-            value=rhs_expr,
-            name='rhs_expr',
-            cif_name='rhs_expr',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = lhs_alias
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class Constraints(Collection):
-    @property
-    def _type(self) -> str:
-        return 'category'  # datablock or category
-
-    @property
-    def _child_class(self) -> Type[Constraint]:
-        return Constraint
diff --git a/src/easydiffraction/analysis/collections/joint_fit_experiments.py b/src/easydiffraction/analysis/collections/joint_fit_experiments.py
deleted file mode 100644
index bec45433..00000000
--- a/src/easydiffraction/analysis/collections/joint_fit_experiments.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Type
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-
-
-class JointFitExperiment(Component):
-    @property
-    def category_key(self) -> str:
-        return 'joint_fit_experiment'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'joint_fit_experiment'
-
-    def __init__(self, id: str, weight: float) -> None:
-        super().__init__()
-
-        self.id: Descriptor = Descriptor(
-            value=id,
-            name='id',
-            cif_name='id',
-        )
-        self.weight: Descriptor = Descriptor(
-            value=weight,
-            name='weight',
-            cif_name='weight',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = id
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class JointFitExperiments(Collection):
-    """Collection manager for experiments that are fitted together in a
-    `joint` fit.
-    """
-
-    @property
-    def _type(self) -> str:
-        return 'category'  # datablock or category
-
-    @property
-    def _child_class(self) -> Type[JointFitExperiment]:
-        return JointFitExperiment
diff --git a/src/easydiffraction/analysis/fitting/__init__.py b/src/easydiffraction/analysis/fit_helpers/__init__.py
similarity index 100%
rename from src/easydiffraction/analysis/fitting/__init__.py
rename to src/easydiffraction/analysis/fit_helpers/__init__.py
diff --git a/src/easydiffraction/analysis/fitting/metrics.py b/src/easydiffraction/analysis/fit_helpers/metrics.py
similarity index 90%
rename from src/easydiffraction/analysis/fitting/metrics.py
rename to src/easydiffraction/analysis/fit_helpers/metrics.py
index 2ed11b5b..feaabba7 100644
--- a/src/easydiffraction/analysis/fitting/metrics.py
+++ b/src/easydiffraction/analysis/fit_helpers/metrics.py
@@ -6,7 +6,6 @@
 
 import numpy as np
 
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
 from easydiffraction.experiments.experiments import Experiments
 from easydiffraction.sample_models.sample_models import SampleModels
 
@@ -124,7 +123,6 @@ def calculate_reduced_chi_square(
 def get_reliability_inputs(
     sample_models: SampleModels,
     experiments: Experiments,
-    calculator: CalculatorBase,
 ) -> Tuple[np.ndarray, np.ndarray, Optional[np.ndarray]]:
     """Collect observed and calculated data points for reliability
     calculations.
@@ -132,7 +130,6 @@ def get_reliability_inputs(
     Args:
         sample_models: Collection of sample models.
         experiments: Collection of experiments.
-        calculator: The calculator to use for pattern generation.
 
     Returns:
         Tuple containing arrays of (observed values, calculated values,
@@ -141,11 +138,14 @@ def get_reliability_inputs(
     y_obs_all = []
     y_calc_all = []
     y_err_all = []
-    for experiment in experiments._items.values():
-        calculator.calculate_pattern(sample_models, experiment)
-        y_calc = experiment.datastore.calc
-        y_meas = experiment.datastore.meas
-        y_meas_su = experiment.datastore.meas_su
+    for experiment in experiments.values():
+        for sample_model in sample_models:
+            sample_model._update_categories()
+        experiment._update_categories()
+
+        y_calc = experiment.data.calc
+        y_meas = experiment.data.meas
+        y_meas_su = experiment.data.meas_su
 
         if y_meas is not None and y_calc is not None:
             # If standard uncertainty is not provided, use ones
diff --git a/src/easydiffraction/analysis/fitting/results.py b/src/easydiffraction/analysis/fit_helpers/reporting.py
similarity index 54%
rename from src/easydiffraction/analysis/fitting/results.py
rename to src/easydiffraction/analysis/fit_helpers/reporting.py
index 1ad0ae27..ea110bf9 100644
--- a/src/easydiffraction/analysis/fitting/results.py
+++ b/src/easydiffraction/analysis/fit_helpers/reporting.py
@@ -5,15 +5,22 @@
 from typing import List
 from typing import Optional
 
-from easydiffraction import paragraph
-from easydiffraction.analysis.fitting.metrics import calculate_r_factor
-from easydiffraction.analysis.fitting.metrics import calculate_r_factor_squared
-from easydiffraction.analysis.fitting.metrics import calculate_rb_factor
-from easydiffraction.analysis.fitting.metrics import calculate_weighted_r_factor
+from easydiffraction.analysis.fit_helpers.metrics import calculate_r_factor
+from easydiffraction.analysis.fit_helpers.metrics import calculate_r_factor_squared
+from easydiffraction.analysis.fit_helpers.metrics import calculate_rb_factor
+from easydiffraction.analysis.fit_helpers.metrics import calculate_weighted_r_factor
+from easydiffraction.utils.logging import console
 from easydiffraction.utils.utils import render_table
 
 
 class FitResults:
+    """Container for results of a single optimization run.
+
+    Holds success flag, chi-square metrics, iteration counts, timing,
+    and parameter objects. Provides a printer to summarize key
+    indicators and a table of fitted parameters.
+    """
+
     def __init__(
         self,
         success: bool = False,
@@ -27,6 +34,22 @@ def __init__(
         fitting_time: Optional[float] = None,
         **kwargs: Any,
     ) -> None:
+        """Initialize FitResults with the given parameters.
+
+        Args:
+            success: Indicates if the fit was successful.
+            parameters: List of parameters used in the fit.
+            chi_square: Chi-square value of the fit.
+            reduced_chi_square: Reduced chi-square value of the fit.
+            message: Message related to the fit.
+            iterations: Number of iterations performed.
+            engine_result: Result from the fitting engine.
+            starting_parameters: Initial parameters for the fit.
+            fitting_time: Time taken for the fitting process.
+            **kwargs: Additional engine-specific fields. If ``redchi``
+                is provided and ``reduced_chi_square`` is not set, it is
+                used as the reduced chi-square value.
+        """
         self.success: bool = success
         self.parameters: List[Any] = parameters if parameters is not None else []
         self.chi_square: Optional[float] = chi_square
@@ -54,6 +77,15 @@ def display_results(
         f_obs: Optional[List[float]] = None,
         f_calc: Optional[List[float]] = None,
     ) -> None:
+        """Render a human-readable summary of the fit.
+
+        Args:
+            y_obs: Observed intensities for pattern R-factor metrics.
+            y_calc: Calculated intensities for pattern R-factor metrics.
+            y_err: Standard deviations of observed intensities for wR.
+            f_obs: Observed structure-factor magnitudes for Bragg R.
+            f_calc: Calculated structure-factor magnitudes for Bragg R.
+        """
         status_icon = '✅' if self.success else '❌'
         rf = rf2 = wr = br = None
         if y_obs is not None and y_calc is not None:
@@ -64,19 +96,19 @@ def display_results(
         if f_obs is not None and f_calc is not None:
             br = calculate_rb_factor(f_obs, f_calc) * 100
 
-        print(paragraph('Fit results'))
-        print(f'{status_icon} Success: {self.success}')
-        print(f'⏱️ Fitting time: {self.fitting_time:.2f} seconds')
-        print(f'📏 Goodness-of-fit (reduced χ²): {self.reduced_chi_square:.2f}')
+        console.paragraph('Fit results')
+        console.print(f'{status_icon} Success: {self.success}')
+        console.print(f'⏱️ Fitting time: {self.fitting_time:.2f} seconds')
+        console.print(f'📏 Goodness-of-fit (reduced χ²): {self.reduced_chi_square:.2f}')
         if rf is not None:
-            print(f'📏 R-factor (Rf): {rf:.2f}%')
+            console.print(f'📏 R-factor (Rf): {rf:.2f}%')
         if rf2 is not None:
-            print(f'📏 R-factor squared (Rf²): {rf2:.2f}%')
+            console.print(f'📏 R-factor squared (Rf²): {rf2:.2f}%')
         if wr is not None:
-            print(f'📏 Weighted R-factor (wR): {wr:.2f}%')
+            console.print(f'📏 Weighted R-factor (wR): {wr:.2f}%')
         if br is not None:
-            print(f'📏 Bragg R-factor (BR): {br:.2f}%')
-        print('📈 Fitted parameters:')
+            console.print(f'📏 Bragg R-factor (BR): {br:.2f}%')
+        console.print('📈 Fitted parameters:')
 
         headers = [
             'datablock',
@@ -103,30 +135,34 @@ def display_results(
 
         rows = []
         for param in self.parameters:
-            datablock_id = getattr(param, 'datablock_id', 'N/A')
-            category_key = getattr(param, 'category_key', 'N/A')
-            collection_entry_id = getattr(param, 'collection_entry_id', 'N/A')
+            datablock_entry_name = (
+                param._identity.datablock_entry_name
+            )  # getattr(param, 'datablock_name', 'N/A')
+            category_code = param._identity.category_code  # getattr(param, 'category_key', 'N/A')
+            category_entry_name = (
+                param._identity.category_entry_name or ''
+            )  # getattr(param, 'category_entry_name', 'N/A')
             name = getattr(param, 'name', 'N/A')
             start = (
-                f'{getattr(param, "start_value", "N/A"):.4f}'
-                if param.start_value is not None
+                f'{getattr(param, "_fit_start_value", "N/A"):.4f}'
+                if param._fit_start_value is not None
                 else 'N/A'
             )
             fitted = f'{param.value:.4f}' if param.value is not None else 'N/A'
             uncertainty = f'{param.uncertainty:.4f}' if param.uncertainty is not None else 'N/A'
             units = getattr(param, 'units', 'N/A')
 
-            if param.start_value and param.value:
-                change = ((param.value - param.start_value) / param.start_value) * 100
+            if param._fit_start_value and param.value:
+                change = ((param.value - param._fit_start_value) / param._fit_start_value) * 100
                 arrow = '↑' if change > 0 else '↓'
                 relative_change = f'{abs(change):.2f} % {arrow}'
             else:
                 relative_change = 'N/A'
 
             rows.append([
-                datablock_id,
-                category_key,
-                collection_entry_id,
+                datablock_entry_name,
+                category_code,
+                category_entry_name,
                 name,
                 start,
                 fitted,
@@ -139,5 +175,4 @@ def display_results(
             columns_headers=headers,
             columns_alignment=alignments,
             columns_data=rows,
-            show_index=True,
         )
diff --git a/src/easydiffraction/analysis/fit_helpers/tracking.py b/src/easydiffraction/analysis/fit_helpers/tracking.py
new file mode 100644
index 00000000..9b98e68c
--- /dev/null
+++ b/src/easydiffraction/analysis/fit_helpers/tracking.py
@@ -0,0 +1,259 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import time
+from contextlib import suppress
+from typing import Any
+from typing import List
+from typing import Optional
+
+import numpy as np
+
+from easydiffraction.utils.logging import console
+
+try:
+    from IPython.display import HTML
+    from IPython.display import DisplayHandle
+    from IPython.display import display
+except ImportError:
+    display = None
+    clear_output = None
+
+from easydiffraction.analysis.fit_helpers.metrics import calculate_reduced_chi_square
+from easydiffraction.utils.environment import in_jupyter
+from easydiffraction.utils.utils import render_table
+
+try:
+    from rich.live import Live
+except Exception:  # pragma: no cover - rich always available in app env
+    Live = None  # type: ignore[assignment]
+
+from easydiffraction.utils.logging import ConsoleManager
+
+SIGNIFICANT_CHANGE_THRESHOLD = 0.01  # 1% threshold
+DEFAULT_HEADERS = ['iteration', 'χ²', 'improvement [%]']
+DEFAULT_ALIGNMENTS = ['center', 'center', 'center']
+
+
+class _TerminalLiveHandle:
+    """Adapter that exposes update()/close() for terminal live updates.
+
+    Wraps a rich.live.Live instance but keeps the tracker decoupled from
+    the underlying UI mechanism.
+    """
+
+    def __init__(self, live) -> None:
+        self._live = live
+
+    def update(self, renderable) -> None:
+        self._live.update(renderable, refresh=True)
+
+    def close(self) -> None:
+        with suppress(Exception):
+            self._live.stop()
+
+
+def _make_display_handle() -> Any | None:
+    """Create and initialize a display/update handle for the
+    environment.
+
+    - In Jupyter, returns an IPython DisplayHandle and creates a
+        placeholder.
+    - In terminal, returns a _TerminalLiveHandle backed by rich Live.
+    - If neither applies, returns None.
+    """
+    if in_jupyter() and display is not None and HTML is not None:
+        h = DisplayHandle()
+        # Create an empty placeholder area to update in place
+        h.display(HTML(''))
+        return h
+    if Live is not None:
+        # Reuse the shared Console to coordinate with logging output
+        # and keep consistent width
+        live = Live(console=ConsoleManager.get(), auto_refresh=True)
+        live.start()
+        return _TerminalLiveHandle(live)
+    return None
+
+
+class FitProgressTracker:
+    """Track and report reduced chi-square during optimization.
+
+    The tracker keeps iteration counters, remembers the best observed
+    reduced chi-square and when it occurred, and can display progress as
+    a table in notebooks or a text UI in terminals.
+    """
+
+    def __init__(self) -> None:
+        self._iteration: int = 0
+        self._previous_chi2: Optional[float] = None
+        self._last_chi2: Optional[float] = None
+        self._last_iteration: Optional[int] = None
+        self._best_chi2: Optional[float] = None
+        self._best_iteration: Optional[int] = None
+        self._fitting_time: Optional[float] = None
+
+        self._df_rows: List[List[str]] = []
+        self._display_handle: Optional[Any] = None
+        self._live: Optional[Any] = None
+
+    def reset(self) -> None:
+        """Reset internal state before a new optimization run."""
+        self._iteration = 0
+        self._previous_chi2 = None
+        self._last_chi2 = None
+        self._last_iteration = None
+        self._best_chi2 = None
+        self._best_iteration = None
+        self._fitting_time = None
+
+    def track(
+        self,
+        residuals: np.ndarray,
+        parameters: List[float],
+    ) -> np.ndarray:
+        """Update progress with current residuals and parameters.
+
+        Args:
+            residuals: Residuals between measured and calculated data.
+            parameters: Current free parameters being fitted.
+
+        Returns:
+            Residuals unchanged, for optimizer consumption.
+        """
+        self._iteration += 1
+
+        reduced_chi2 = calculate_reduced_chi_square(residuals, len(parameters))
+
+        row: List[str] = []
+
+        # First iteration, initialize tracking
+        if self._previous_chi2 is None:
+            self._previous_chi2 = reduced_chi2
+            self._best_chi2 = reduced_chi2
+            self._best_iteration = self._iteration
+
+            row = [
+                str(self._iteration),
+                f'{reduced_chi2:.2f}',
+                '',
+            ]
+
+        # Subsequent iterations, check for significant changes
+        else:
+            change = (self._previous_chi2 - reduced_chi2) / self._previous_chi2
+
+            # Improvement check
+            if change > SIGNIFICANT_CHANGE_THRESHOLD:
+                change_in_percent = change * 100
+
+                row = [
+                    str(self._iteration),
+                    f'{reduced_chi2:.2f}',
+                    f'{change_in_percent:.1f}% ↓',
+                ]
+
+                self._previous_chi2 = reduced_chi2
+
+        # Output if there is something new to display
+        if row:
+            self.add_tracking_info(row)
+
+        # Update best chi-square if better
+        if reduced_chi2 < self._best_chi2:
+            self._best_chi2 = reduced_chi2
+            self._best_iteration = self._iteration
+
+        # Store last chi-square and iteration
+        self._last_chi2 = reduced_chi2
+        self._last_iteration = self._iteration
+
+        return residuals
+
+    @property
+    def best_chi2(self) -> Optional[float]:
+        """Best recorded reduced chi-square value or None."""
+        return self._best_chi2
+
+    @property
+    def best_iteration(self) -> Optional[int]:
+        """Iteration index at which the best chi-square was observed."""
+        return self._best_iteration
+
+    @property
+    def iteration(self) -> int:
+        """Current iteration counter."""
+        return self._iteration
+
+    @property
+    def fitting_time(self) -> Optional[float]:
+        """Elapsed time of the last run in seconds, if available."""
+        return self._fitting_time
+
+    def start_timer(self) -> None:
+        """Begin timing of a fit run."""
+        self._start_time = time.perf_counter()
+
+    def stop_timer(self) -> None:
+        """Stop timing and store elapsed time for the run."""
+        self._end_time = time.perf_counter()
+        self._fitting_time = self._end_time - self._start_time
+
+    def start_tracking(self, minimizer_name: str) -> None:
+        """Initialize display and headers and announce the minimizer.
+
+        Args:
+            minimizer_name: Name of the minimizer used for the run.
+        """
+        console.print(f"🚀 Starting fit process with '{minimizer_name}'...")
+        console.print('📈 Goodness-of-fit (reduced χ²) change:')
+
+        # Reset rows and create an environment-appropriate handle
+        self._df_rows = []
+        self._display_handle = _make_display_handle()
+
+        # Initial empty table; subsequent updates will reuse the handle
+        render_table(
+            columns_headers=DEFAULT_HEADERS,
+            columns_alignment=DEFAULT_ALIGNMENTS,
+            columns_data=self._df_rows,
+            display_handle=self._display_handle,
+        )
+
+    def add_tracking_info(self, row: List[str]) -> None:
+        """Append a formatted row to the progress display.
+
+        Args:
+            row: Columns corresponding to DEFAULT_HEADERS.
+        """
+        # Append and update via the active handle (Jupyter or
+        # terminal live)
+        self._df_rows.append(row)
+        render_table(
+            columns_headers=DEFAULT_HEADERS,
+            columns_alignment=DEFAULT_ALIGNMENTS,
+            columns_data=self._df_rows,
+            display_handle=self._display_handle,
+        )
+
+    def finish_tracking(self) -> None:
+        """Finalize progress display and print best result summary."""
+        # Add last iteration as last row
+        row: List[str] = [
+            str(self._last_iteration),
+            f'{self._last_chi2:.2f}' if self._last_chi2 is not None else '',
+            '',
+        ]
+        self.add_tracking_info(row)
+
+        # Close terminal live if used
+        if self._display_handle is not None and hasattr(self._display_handle, 'close'):
+            with suppress(Exception):
+                self._display_handle.close()
+
+        # Print best result
+        console.print(
+            f'🏆 Best goodness-of-fit (reduced χ²) is {self._best_chi2:.2f} '
+            f'at iteration {self._best_iteration}'
+        )
+        console.print('✅ Fitting complete.')
diff --git a/src/easydiffraction/analysis/minimization.py b/src/easydiffraction/analysis/fitting.py
similarity index 74%
rename from src/easydiffraction/analysis/minimization.py
rename to src/easydiffraction/analysis/fitting.py
index 3fc04cbf..84e60dbf 100644
--- a/src/easydiffraction/analysis/minimization.py
+++ b/src/easydiffraction/analysis/fitting.py
@@ -9,18 +9,17 @@
 
 import numpy as np
 
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
-from easydiffraction.analysis.fitting.metrics import get_reliability_inputs
-from easydiffraction.analysis.minimizers.minimizer_factory import MinimizerFactory
-from easydiffraction.core.objects import Parameter
+from easydiffraction.analysis.fit_helpers.metrics import get_reliability_inputs
+from easydiffraction.analysis.minimizers.factory import MinimizerFactory
+from easydiffraction.core.parameters import Parameter
 from easydiffraction.experiments.experiments import Experiments
 from easydiffraction.sample_models.sample_models import SampleModels
 
 if TYPE_CHECKING:
-    from easydiffraction.analysis.fitting.results import FitResults
+    from easydiffraction.analysis.fit_helpers.reporting import FitResults
 
 
-class DiffractionMinimizer:
+class Fitter:
     """Handles the fitting workflow using a pluggable minimizer."""
 
     def __init__(self, selection: str = 'lmfit (leastsq)') -> None:
@@ -33,25 +32,26 @@ def fit(
         self,
         sample_models: SampleModels,
         experiments: Experiments,
-        calculator: Any,
         weights: Optional[np.array] = None,
+        analysis=None,
     ) -> None:
         """Run the fitting process.
 
         Args:
             sample_models: Collection of sample models.
             experiments: Collection of experiments.
-            calculator: The calculator to use for pattern generation.
             weights: Optional weights for joint fitting.
+            analysis: Optional Analysis object to update its categories
+                during fitting.
         """
-        params = sample_models.get_free_params() + experiments.get_free_params()
+        params = sample_models.free_parameters + experiments.free_parameters
 
         if not params:
             print('⚠️ No parameters selected for fitting.')
             return None
 
         for param in params:
-            param.start_value = param.value
+            param._fit_start_value = param.value
 
         def objective_function(engine_params: Dict[str, Any]) -> np.ndarray:
             return self._residual_function(
@@ -59,33 +59,30 @@ def objective_function(engine_params: Dict[str, Any]) -> np.ndarray:
                 parameters=params,
                 sample_models=sample_models,
                 experiments=experiments,
-                calculator=calculator,
                 weights=weights,
+                analysis=analysis,
             )
 
         # Perform fitting
         self.results = self.minimizer.fit(params, objective_function)
 
         # Post-fit processing
-        self._process_fit_results(sample_models, experiments, calculator)
+        self._process_fit_results(sample_models, experiments)
 
     def _process_fit_results(
         self,
         sample_models: SampleModels,
         experiments: Experiments,
-        calculator: CalculatorBase,
     ) -> None:
         """Collect reliability inputs and display results after fitting.
 
         Args:
             sample_models: Collection of sample models.
             experiments: Collection of experiments.
-            calculator: The calculator used for pattern generation.
         """
         y_obs, y_calc, y_err = get_reliability_inputs(
             sample_models,
             experiments,
-            calculator,
         )
 
         # Placeholder for future f_obs / f_calc retrieval
@@ -114,9 +111,7 @@ def _collect_free_parameters(
         Returns:
             List of free parameters.
         """
-        free_params: List[Parameter] = (
-            sample_models.get_free_params() + experiments.get_free_params()
-        )
+        free_params: List[Parameter] = sample_models.free_parameters + experiments.free_parameters
         return free_params
 
     def _residual_function(
@@ -125,8 +120,8 @@ def _residual_function(
         parameters: List[Parameter],
         sample_models: SampleModels,
         experiments: Experiments,
-        calculator: CalculatorBase,
         weights: Optional[np.array] = None,
+        analysis=None,
     ) -> np.ndarray:
         """Residual function computes the difference between measured
         and calculated patterns. It updates the parameter values
@@ -137,8 +132,9 @@ def _residual_function(
             parameters: List of parameters being optimized.
             sample_models: Collection of sample models.
             experiments: Collection of experiments.
-            calculator: The calculator to use for pattern generation.
             weights: Optional weights for joint fitting.
+            analysis: Optional Analysis object to update its categories
+                during fitting.
 
         Returns:
             Array of weighted residuals.
@@ -146,14 +142,23 @@ def _residual_function(
         # Sync parameters back to objects
         self.minimizer._sync_result_to_parameters(parameters, engine_params)
 
+        # Update categories to reflect new parameter values
+        # Order matters: sample models first (symmetry, structure),
+        # then analysis (constraints), then experiments (calculations)
+        for sample_model in sample_models:
+            sample_model._update_categories()
+
+        if analysis is not None:
+            analysis._update_categories(called_by_minimizer=True)
+
         # Prepare weights for joint fitting
-        num_expts: int = len(experiments.ids)
+        num_expts: int = len(experiments.names)
         if weights is None:
             _weights = np.ones(num_expts)
         else:
             _weights_list: List[float] = []
-            for id in experiments.ids:
-                _weight = weights._items[id].weight.value
+            for name in experiments.names:
+                _weight = weights[name].weight.value
                 _weights_list.append(_weight)
             _weights = np.array(_weights_list, dtype=np.float64)
 
@@ -165,17 +170,15 @@ def _residual_function(
         _weights *= num_expts / np.sum(_weights)
         residuals: List[float] = []
 
-        for experiment, weight in zip(experiments._items.values(), _weights, strict=True):
+        for experiment, weight in zip(experiments.values(), _weights, strict=True):
+            # Update experiment-specific calculations
+            experiment._update_categories(called_by_minimizer=True)
+
             # Calculate the difference between measured and calculated
             # patterns
-            calculator.calculate_pattern(
-                sample_models,
-                experiment,
-                called_by_minimizer=True,
-            )
-            y_calc: np.ndarray = experiment.datastore.calc
-            y_meas: np.ndarray = experiment.datastore.meas
-            y_meas_su: np.ndarray = experiment.datastore.meas_su
+            y_calc: np.ndarray = experiment.data.calc
+            y_meas: np.ndarray = experiment.data.meas
+            y_meas_su: np.ndarray = experiment.data.meas_su
             diff = (y_meas - y_calc) / y_meas_su
 
             # Residuals are squared before going into reduced
diff --git a/src/easydiffraction/analysis/fitting/progress_tracker.py b/src/easydiffraction/analysis/fitting/progress_tracker.py
deleted file mode 100644
index a1b5a3f7..00000000
--- a/src/easydiffraction/analysis/fitting/progress_tracker.py
+++ /dev/null
@@ -1,235 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import time
-from typing import List
-from typing import Optional
-
-import numpy as np
-
-try:
-    from IPython.display import HTML
-    from IPython.display import DisplayHandle
-    from IPython.display import display
-except ImportError:
-    display = None
-    clear_output = None
-
-from easydiffraction.analysis.fitting.metrics import calculate_reduced_chi_square
-from easydiffraction.utils.utils import is_notebook
-from easydiffraction.utils.utils import render_table
-
-SIGNIFICANT_CHANGE_THRESHOLD = 0.01  # 1% threshold
-FIXED_WIDTH = 17
-DEFAULT_HEADERS = ['iteration', 'χ²', 'improvement [%]']
-DEFAULT_ALIGNMENTS = ['center', 'center', 'center']
-
-
-def format_cell(
-    cell: str,
-    width: int = FIXED_WIDTH,
-    align: str = 'center',
-) -> str:
-    cell_str = str(cell)
-    if align == 'center':
-        return cell_str.center(width)
-    elif align == 'left':
-        return cell_str.ljust(width)
-    elif align == 'right':
-        return cell_str.rjust(width)
-    else:
-        return cell_str
-
-
-class FittingProgressTracker:
-    """Tracks and reports the reduced chi-square during the optimization
-    process.
-    """
-
-    def __init__(self) -> None:
-        self._iteration: int = 0
-        self._previous_chi2: Optional[float] = None
-        self._last_chi2: Optional[float] = None
-        self._last_iteration: Optional[int] = None
-        self._best_chi2: Optional[float] = None
-        self._best_iteration: Optional[int] = None
-        self._fitting_time: Optional[float] = None
-
-        self._df_rows: List[List[str]] = []
-        self._display_handle: Optional[DisplayHandle] = None
-
-    def reset(self) -> None:
-        self._iteration = 0
-        self._previous_chi2 = None
-        self._last_chi2 = None
-        self._last_iteration = None
-        self._best_chi2 = None
-        self._best_iteration = None
-        self._fitting_time = None
-
-    def track(
-        self,
-        residuals: np.ndarray,
-        parameters: List[float],
-    ) -> np.ndarray:
-        """Track chi-square progress during the optimization process.
-
-        Parameters:
-            residuals (np.ndarray): Array of residuals between measured
-                and calculated data.
-            parameters (list): List of free parameters being fitted.
-
-        Returns:
-            np.ndarray: Residuals unchanged, for optimizer consumption.
-        """
-        self._iteration += 1
-
-        reduced_chi2 = calculate_reduced_chi_square(residuals, len(parameters))
-
-        row: List[str] = []
-
-        # First iteration, initialize tracking
-        if self._previous_chi2 is None:
-            self._previous_chi2 = reduced_chi2
-            self._best_chi2 = reduced_chi2
-            self._best_iteration = self._iteration
-
-            row = [
-                str(self._iteration),
-                f'{reduced_chi2:.2f}',
-                '',
-            ]
-
-        # Subsequent iterations, check for significant changes
-        else:
-            change = (self._previous_chi2 - reduced_chi2) / self._previous_chi2
-
-            # Improvement check
-            if change > SIGNIFICANT_CHANGE_THRESHOLD:
-                change_in_percent = change * 100
-
-                row = [
-                    str(self._iteration),
-                    f'{reduced_chi2:.2f}',
-                    f'{change_in_percent:.1f}% ↓',
-                ]
-
-                self._previous_chi2 = reduced_chi2
-
-        # Output if there is something new to display
-        if row:
-            self.add_tracking_info(row)
-
-        # Update best chi-square if better
-        if reduced_chi2 < self._best_chi2:
-            self._best_chi2 = reduced_chi2
-            self._best_iteration = self._iteration
-
-        # Store last chi-square and iteration
-        self._last_chi2 = reduced_chi2
-        self._last_iteration = self._iteration
-
-        return residuals
-
-    @property
-    def best_chi2(self) -> Optional[float]:
-        return self._best_chi2
-
-    @property
-    def best_iteration(self) -> Optional[int]:
-        return self._best_iteration
-
-    @property
-    def iteration(self) -> int:
-        return self._iteration
-
-    @property
-    def fitting_time(self) -> Optional[float]:
-        return self._fitting_time
-
-    def start_timer(self) -> None:
-        self._start_time = time.perf_counter()
-
-    def stop_timer(self) -> None:
-        self._end_time = time.perf_counter()
-        self._fitting_time = self._end_time - self._start_time
-
-    def start_tracking(self, minimizer_name: str) -> None:
-        print(f"🚀 Starting fit process with '{minimizer_name}'...")
-        print('📈 Goodness-of-fit (reduced χ²) change:')
-
-        if is_notebook() and display is not None:
-            # Reset the DataFrame rows
-            self._df_rows = []
-
-            # Recreate display handle for updating the table
-            self._display_handle = DisplayHandle()
-
-            # Create placeholder for display
-            self._display_handle.display(HTML(''))
-
-            # Show empty table with headers
-            render_table(
-                columns_data=self._df_rows,
-                columns_alignment=DEFAULT_ALIGNMENTS,
-                columns_headers=DEFAULT_HEADERS,
-                display_handle=self._display_handle,
-            )
-        else:
-            # Top border
-            print('╒' + '╤'.join(['═' * FIXED_WIDTH for _ in DEFAULT_HEADERS]) + '╕')
-
-            # Header row (all centered)
-            header_row = (
-                '│' + '│'.join([format_cell(h, align='center') for h in DEFAULT_HEADERS]) + '│'
-            )
-            print(header_row)
-
-            # Separator
-            print('╞' + '╪'.join(['═' * FIXED_WIDTH for _ in DEFAULT_HEADERS]) + '╡')
-
-    def add_tracking_info(self, row: List[str]) -> None:
-        if is_notebook() and display is not None:
-            # Add row to DataFrame
-            self._df_rows.append(row)
-
-            # Show fully updated table
-            render_table(
-                columns_data=self._df_rows,
-                columns_alignment=DEFAULT_ALIGNMENTS,
-                columns_headers=DEFAULT_HEADERS,
-                display_handle=self._display_handle,
-            )
-        else:
-            # Alignments for each column
-            formatted_row = (
-                '│'
-                + '│'.join([
-                    format_cell(cell, align=DEFAULT_ALIGNMENTS[i]) for i, cell in enumerate(row)
-                ])
-                + '│'
-            )
-
-            # Print the new row
-            print(formatted_row)
-
-    def finish_tracking(self) -> None:
-        # Add last iteration as last row
-        row: List[str] = [
-            str(self._last_iteration),
-            f'{self._last_chi2:.2f}' if self._last_chi2 is not None else '',
-            '',
-        ]
-        self.add_tracking_info(row)
-
-        # Bottom border for terminal only
-        if not is_notebook() or display is None:
-            # Bottom border for terminal only
-            print('╘' + '╧'.join(['═' * FIXED_WIDTH for _ in range(len(row))]) + '╛')
-
-        # Print best result
-        print(
-            f'🏆 Best goodness-of-fit (reduced χ²) is {self._best_chi2:.2f} '
-            f'at iteration {self._best_iteration}'
-        )
-        print('✅ Fitting complete.')
diff --git a/src/easydiffraction/analysis/minimizers/minimizer_base.py b/src/easydiffraction/analysis/minimizers/base.py
similarity index 66%
rename from src/easydiffraction/analysis/minimizers/minimizer_base.py
rename to src/easydiffraction/analysis/minimizers/base.py
index 162c33ae..2f966d5c 100644
--- a/src/easydiffraction/analysis/minimizers/minimizer_base.py
+++ b/src/easydiffraction/analysis/minimizers/base.py
@@ -11,14 +11,19 @@
 
 import numpy as np
 
-from easydiffraction.analysis.fitting.progress_tracker import FittingProgressTracker
-from easydiffraction.analysis.fitting.results import FitResults
+from easydiffraction.analysis.fit_helpers.reporting import FitResults
+from easydiffraction.analysis.fit_helpers.tracking import FitProgressTracker
 
 
 class MinimizerBase(ABC):
-    """Abstract base class for minimizer implementations.
-
-    Provides shared logic and structure for concrete minimizers.
+    """Abstract base for concrete minimizers.
+
+    Contract:
+    - Subclasses must implement ``_prepare_solver_args``,
+        ``_run_solver``, ``_sync_result_to_parameters`` and
+        ``_check_success``.
+    - The ``fit`` method orchestrates the full workflow and returns
+        :class:`FitResults`.
     """
 
     def __init__(
@@ -36,21 +41,32 @@ def __init__(
         self._best_chi2: Optional[float] = None
         self._best_iteration: Optional[int] = None
         self._fitting_time: Optional[float] = None
-        self.tracker: FittingProgressTracker = FittingProgressTracker()
+        self.tracker: FitProgressTracker = FitProgressTracker()
 
     def _start_tracking(self, minimizer_name: str) -> None:
+        """Initialize progress tracking and timer.
+
+        Args:
+            minimizer_name: Human-readable name shown in progress.
+        """
         self.tracker.reset()
         self.tracker.start_tracking(minimizer_name)
         self.tracker.start_timer()
 
     def _stop_tracking(self) -> None:
+        """Stop timer and finalize tracking."""
         self.tracker.stop_timer()
         self.tracker.finish_tracking()
 
     @abstractmethod
     def _prepare_solver_args(self, parameters: List[Any]) -> Dict[str, Any]:
-        """Prepare the solver arguments directly from the list of free
-        parameters.
+        """Prepare keyword-arguments for the underlying solver.
+
+        Args:
+            parameters: List of free parameters to be fitted.
+
+        Returns:
+            Mapping of keyword arguments to pass into ``_run_solver``.
         """
         pass
 
@@ -60,6 +76,7 @@ def _run_solver(
         objective_function: Callable[..., Any],
         engine_parameters: Dict[str, Any],
     ) -> Any:
+        """Execute the concrete solver and return its raw result."""
         pass
 
     @abstractmethod
@@ -68,6 +85,9 @@ def _sync_result_to_parameters(
         raw_result: Any,
         parameters: List[Any],
     ) -> None:
+        """Copy values from ``raw_result`` back to ``parameters`` in-
+        place.
+        """
         pass
 
     def _finalize_fit(
@@ -75,6 +95,15 @@ def _finalize_fit(
         parameters: List[Any],
         raw_result: Any,
     ) -> FitResults:
+        """Build :class:`FitResults` and store it on ``self.result``.
+
+        Args:
+            parameters: Parameters after the solver finished.
+            raw_result: Backend-specific solver output object.
+
+        Returns:
+            FitResults: Aggregated outcome of the fit.
+        """
         self._sync_result_to_parameters(parameters, raw_result)
         success = self._check_success(raw_result)
         self.result = FitResults(
@@ -89,10 +118,7 @@ def _finalize_fit(
 
     @abstractmethod
     def _check_success(self, raw_result: Any) -> bool:
-        """Determine whether the fit was successful.
-
-        This must be implemented by concrete minimizers.
-        """
+        """Determine whether the fit was successful."""
         pass
 
     def fit(
@@ -100,6 +126,16 @@ def fit(
         parameters: List[Any],
         objective_function: Callable[..., Any],
     ) -> FitResults:
+        """Run the full minimization workflow.
+
+        Args:
+            parameters: Free parameters to optimize.
+            objective_function: Callable returning residuals for a given
+                set of engine arguments.
+
+        Returns:
+            FitResults with success flag, best chi2 and timing.
+        """
         minimizer_name = self.name or 'Unnamed Minimizer'
         if self.method is not None:
             minimizer_name += f' ({self.method})'
@@ -123,6 +159,7 @@ def _objective_function(
         experiments: Any,
         calculator: Any,
     ) -> np.ndarray:
+        """Default objective helper computing residuals array."""
         return self._compute_residuals(
             engine_params,
             parameters,
@@ -138,6 +175,7 @@ def _create_objective_function(
         experiments: Any,
         calculator: Any,
     ) -> Callable[[Dict[str, Any]], np.ndarray]:
+        """Return a closure capturing problem context for the solver."""
         return lambda engine_params: self._objective_function(
             engine_params,
             parameters,
diff --git a/src/easydiffraction/analysis/minimizers/minimizer_dfols.py b/src/easydiffraction/analysis/minimizers/dfols.py
similarity index 91%
rename from src/easydiffraction/analysis/minimizers/minimizer_dfols.py
rename to src/easydiffraction/analysis/minimizers/dfols.py
index 6ba2999d..c3b70740 100644
--- a/src/easydiffraction/analysis/minimizers/minimizer_dfols.py
+++ b/src/easydiffraction/analysis/minimizers/dfols.py
@@ -8,7 +8,7 @@
 import numpy as np
 from dfols import solve
 
-from easydiffraction.analysis.minimizers.minimizer_base import MinimizerBase
+from easydiffraction.analysis.minimizers.base import MinimizerBase
 
 DEFAULT_MAX_ITERATIONS = 1000
 
@@ -34,8 +34,8 @@ def _prepare_solver_args(self, parameters: List[Any]) -> Dict[str, Any]:
         bounds_upper = []
         for param in parameters:
             x0.append(param.value)
-            bounds_lower.append(param.min if param.min is not None else -np.inf)
-            bounds_upper.append(param.max if param.max is not None else np.inf)
+            bounds_lower.append(param.fit_min)
+            bounds_upper.append(param.fit_max)
         bounds = (np.array(bounds_lower), np.array(bounds_upper))
         return {'x0': np.array(x0), 'bounds': bounds}
 
diff --git a/src/easydiffraction/analysis/minimizers/minimizer_factory.py b/src/easydiffraction/analysis/minimizers/factory.py
similarity index 92%
rename from src/easydiffraction/analysis/minimizers/minimizer_factory.py
rename to src/easydiffraction/analysis/minimizers/factory.py
index 0f05ec7a..e882ed62 100644
--- a/src/easydiffraction/analysis/minimizers/minimizer_factory.py
+++ b/src/easydiffraction/analysis/minimizers/factory.py
@@ -7,10 +7,10 @@
 from typing import Optional
 from typing import Type
 
-from easydiffraction.analysis.minimizers.minimizer_base import MinimizerBase
-from easydiffraction.analysis.minimizers.minimizer_dfols import DfolsMinimizer
-from easydiffraction.analysis.minimizers.minimizer_lmfit import LmfitMinimizer
-from easydiffraction.utils.formatting import paragraph
+from easydiffraction.analysis.minimizers.base import MinimizerBase
+from easydiffraction.analysis.minimizers.dfols import DfolsMinimizer
+from easydiffraction.analysis.minimizers.lmfit import LmfitMinimizer
+from easydiffraction.utils.logging import console
 from easydiffraction.utils.utils import render_table
 
 
@@ -67,7 +67,7 @@ def show_available_minimizers(cls) -> None:
             description: str = config.get('description', 'No description provided.')
             columns_data.append([name, description])
 
-        print(paragraph('Supported minimizers'))
+        console.paragraph('Supported minimizers')
         render_table(
             columns_headers=columns_headers,
             columns_alignment=columns_alignment,
diff --git a/src/easydiffraction/analysis/minimizers/minimizer_lmfit.py b/src/easydiffraction/analysis/minimizers/lmfit.py
similarity index 91%
rename from src/easydiffraction/analysis/minimizers/minimizer_lmfit.py
rename to src/easydiffraction/analysis/minimizers/lmfit.py
index b61c18c2..acbe2f2f 100644
--- a/src/easydiffraction/analysis/minimizers/minimizer_lmfit.py
+++ b/src/easydiffraction/analysis/minimizers/lmfit.py
@@ -7,7 +7,7 @@
 
 import lmfit
 
-from easydiffraction.analysis.minimizers.minimizer_base import MinimizerBase
+from easydiffraction.analysis.minimizers.base import MinimizerBase
 
 DEFAULT_METHOD = 'leastsq'
 DEFAULT_MAX_ITERATIONS = 1000
@@ -44,11 +44,11 @@ def _prepare_solver_args(
         engine_parameters = lmfit.Parameters()
         for param in parameters:
             engine_parameters.add(
-                name=param.minimizer_uid,
+                name=param._minimizer_uid,
                 value=param.value,
                 vary=param.free,
-                min=param.min,
-                max=param.max,
+                min=param.fit_min,
+                max=param.fit_max,
             )
         return {'engine_parameters': engine_parameters}
 
@@ -86,9 +86,9 @@ def _sync_result_to_parameters(
         param_values = raw_result.params if hasattr(raw_result, 'params') else raw_result
 
         for param in parameters:
-            param_result = param_values.get(param.minimizer_uid)
+            param_result = param_values.get(param._minimizer_uid)
             if param_result is not None:
-                param.value = param_result.value
+                param._value = param_result.value  # Bypass ranges check
                 param.uncertainty = getattr(param_result, 'stderr', None)
 
     def _check_success(self, raw_result: Any) -> bool:
diff --git a/src/easydiffraction/core/category.py b/src/easydiffraction/core/category.py
new file mode 100644
index 00000000..84738dd0
--- /dev/null
+++ b/src/easydiffraction/core/category.py
@@ -0,0 +1,115 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from easydiffraction.core.collection import CollectionBase
+from easydiffraction.core.guard import GuardedBase
+from easydiffraction.core.parameters import GenericDescriptorBase
+from easydiffraction.core.validation import checktype
+from easydiffraction.io.cif.serialize import category_collection_from_cif
+from easydiffraction.io.cif.serialize import category_collection_to_cif
+from easydiffraction.io.cif.serialize import category_item_from_cif
+from easydiffraction.io.cif.serialize import category_item_to_cif
+
+
+class CategoryItem(GuardedBase):
+    """Base class for items in a category collection."""
+
+    # TODO: Set different default priorities for CategoryItem and
+    #  CategoryCollection and use them when serializing to CIF!
+    # TODO: Common for all categories
+    _update_priority = 10  # Default. Lower values run first.
+
+    def __str__(self) -> str:
+        """Human-readable representation of this component."""
+        name = self._log_name
+        params = ', '.join(f'{p.name}={p.value!r}' for p in self.parameters)
+        return f'<{name} ({params})>'
+
+    # TODO: Common for all categories
+    def _update(self, called_by_minimizer=False):
+        del called_by_minimizer
+        pass
+
+    @property
+    def unique_name(self):
+        parts = [
+            self._identity.datablock_entry_name,
+            self._identity.category_code,
+            self._identity.category_entry_name,
+        ]
+        # Convert all parts to strings and filter out None/empty values
+        str_parts = [str(part) for part in parts if part is not None]
+        return '.'.join(str_parts)
+
+    @property
+    def parameters(self):
+        return [v for v in vars(self).values() if isinstance(v, GenericDescriptorBase)]
+
+    @property
+    def as_cif(self) -> str:
+        """Return CIF representation of this object."""
+        return category_item_to_cif(self)
+
+    def from_cif(self, block, idx=0):
+        """Populate this item from a CIF block."""
+        category_item_from_cif(self, block, idx)
+
+
+class CategoryCollection(CollectionBase):
+    """Handles loop-style category containers (e.g. AtomSites).
+
+    Each item is a CategoryItem (component).
+    """
+
+    # TODO: Common for all categories
+    _update_priority = 10  # Default. Lower values run first.
+
+    def __str__(self) -> str:
+        """Human-readable representation of this component."""
+        name = self._log_name
+        size = len(self)
+        return f'<{name} collection ({size} items)>'
+
+    # TODO: Common for all categories
+    def _update(self, called_by_minimizer=False):
+        del called_by_minimizer
+        pass
+
+    @property
+    def unique_name(self):
+        return None
+
+    @property
+    def parameters(self):
+        """All parameters from all items in this collection."""
+        params = []
+        for item in self._items:
+            params.extend(item.parameters)
+        return params
+
+    @property
+    def as_cif(self) -> str:
+        """Return CIF representation of this object."""
+        return category_collection_to_cif(self)
+
+    def from_cif(self, block):
+        """Populate this collection from a CIF block."""
+        category_collection_from_cif(self, block)
+
+    @checktype
+    def _add(self, item) -> None:
+        """Add an item to the collection."""
+        self[item._identity.category_entry_name] = item
+
+    # TODO: Disallow args and only allow kwargs?
+    # TODO: Check kwargs as for, e.g.,
+    #  ExperimentFactory.create(**kwargs)?
+    @checktype
+    def add(self, *args, **kwargs) -> None:
+        """Create and add a new child instance from the provided
+        arguments.
+        """
+        child_obj = self._item_type(*args, **kwargs)
+        self._add(child_obj)
diff --git a/src/easydiffraction/core/collection.py b/src/easydiffraction/core/collection.py
new file mode 100644
index 00000000..e572827d
--- /dev/null
+++ b/src/easydiffraction/core/collection.py
@@ -0,0 +1,102 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Lightweight container for guarded items with name-based indexing.
+
+`CollectionBase` maintains an ordered list of items and a lazily rebuilt
+index by the item's identity key. It supports dict-like access for get,
+set and delete, along with iteration over the items.
+"""
+
+from __future__ import annotations
+
+from easydiffraction.core.guard import GuardedBase
+
+
+class CollectionBase(GuardedBase):
+    """A minimal collection with stable iteration and name indexing.
+
+    Args:
+        item_type: Type of items accepted by the collection. Used for
+            validation and tooling; not enforced at runtime here.
+    """
+
+    def __init__(self, item_type) -> None:
+        super().__init__()
+        self._items: list = []
+        self._index: dict = {}
+        self._item_type = item_type
+
+    def __getitem__(self, name: str):
+        """Return an item by its identity key.
+
+        Rebuilds the internal index on a cache miss to stay consistent
+        with recent mutations.
+        """
+        try:
+            return self._index[name]
+        except KeyError:
+            self._rebuild_index()
+            return self._index[name]
+
+    def __setitem__(self, name: str, item) -> None:
+        """Insert or replace an item under the given identity key."""
+        # Check if item with same identity exists; if so, replace it
+        for i, existing_item in enumerate(self._items):
+            if existing_item._identity.category_entry_name == name:
+                self._items[i] = item
+                self._rebuild_index()
+                return
+        # Otherwise append new item
+        item._parent = self  # Explicitly set the parent for the item
+        self._items.append(item)
+        self._rebuild_index()
+
+    def __delitem__(self, name: str) -> None:
+        """Delete an item by key or raise ``KeyError`` if missing."""
+        # Remove from _items by identity entry name
+        for i, item in enumerate(self._items):
+            if item._identity.category_entry_name == name:
+                object.__setattr__(item, '_parent', None)  # Unlink the parent before removal
+                del self._items[i]
+                self._rebuild_index()
+                return
+        raise KeyError(name)
+
+    def __iter__(self):
+        """Iterate over items in insertion order."""
+        return iter(self._items)
+
+    def __len__(self) -> int:
+        """Return the number of items in the collection."""
+        return len(self._items)
+
+    def _key_for(self, item):
+        """Return the identity key for ``item`` (category or
+        datablock).
+        """
+        return item._identity.category_entry_name or item._identity.datablock_entry_name
+
+    def _rebuild_index(self) -> None:
+        """Rebuild the name-to-item index from the ordered item list."""
+        self._index.clear()
+        for item in self._items:
+            key = self._key_for(item)
+            if key:
+                self._index[key] = item
+
+    def keys(self):
+        """Yield keys for all items in insertion order."""
+        return (self._key_for(item) for item in self._items)
+
+    def values(self):
+        """Yield items in insertion order."""
+        return (item for item in self._items)
+
+    def items(self):
+        """Yield ``(key, item)`` pairs in insertion order."""
+        return ((self._key_for(item), item) for item in self._items)
+
+    @property
+    def names(self):
+        """List of all item keys in the collection."""
+        return list(self.keys())
diff --git a/src/easydiffraction/core/datablock.py b/src/easydiffraction/core/datablock.py
new file mode 100644
index 00000000..d8e0318d
--- /dev/null
+++ b/src/easydiffraction/core/datablock.py
@@ -0,0 +1,128 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typeguard import typechecked
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.collection import CollectionBase
+from easydiffraction.core.guard import GuardedBase
+from easydiffraction.core.parameters import Parameter
+
+
+class DatablockItem(GuardedBase):
+    """Base class for items in a datablock collection."""
+
+    def __init__(self):
+        super().__init__()
+        self._need_categories_update = False
+
+    def __str__(self) -> str:
+        """Human-readable representation of this component."""
+        name = self._log_name
+        items = getattr(self, '_items', None)
+        return f'<{name} ({items})>'
+
+    def _update_categories(
+        self,
+        called_by_minimizer=False,
+    ) -> None:
+        # TODO: Make abstract method and implement in subclasses.
+        # This should call apply_symmetry and apply_constraints in the
+        # case of sample models. In the case of experiments, it should
+        # run calculations to update the "data" categories.
+        # Any parameter change should set _need_categories_update to
+        # True.
+        # Calling as_cif or data getter should first check this flag
+        # and call this method if True.
+        # Should this be also called when parameters are accessed? E.g.
+        # if one change background coefficients, then access the
+        # background points in the data category?
+        # return
+        # if not self._need_categories_update:
+        #    return
+
+        for category in self.categories:
+            category._update(called_by_minimizer=called_by_minimizer)
+
+        self._need_categories_update = False
+
+    @property
+    def unique_name(self):
+        return self._identity.datablock_entry_name
+
+    @property
+    def categories(self):
+        cats = [
+            v for v in vars(self).values() if isinstance(v, (CategoryItem, CategoryCollection))
+        ]
+        # Sort by _update_priority (lower values first)
+        return sorted(cats, key=lambda c: type(c)._update_priority)
+
+    @property
+    def parameters(self):
+        """All parameters from all categories contained in this
+        datablock.
+        """
+        params = []
+        for v in self.categories:
+            params.extend(v.parameters)
+        return params
+
+    @property
+    def as_cif(self) -> str:
+        """Return CIF representation of this object."""
+        from easydiffraction.io.cif.serialize import datablock_item_to_cif
+
+        self._update_categories()
+        return datablock_item_to_cif(self)
+
+
+class DatablockCollection(CollectionBase):
+    """Handles top-level category collections (e.g. SampleModels,
+    Experiments).
+
+    Each item is a DatablockItem.
+    """
+
+    def __str__(self) -> str:
+        """Human-readable representation of this component."""
+        name = self._log_name
+        size = len(self)
+        return f'<{name} collection ({size} items)>'
+
+    @property
+    def unique_name(self):
+        return None
+
+    @property
+    def parameters(self):
+        """All parameters from all datablocks in this collection."""
+        params = []
+        for db in self._items:
+            params.extend(db.parameters)
+        return params
+
+    # was in class AbstractDatablock(ABC):
+    @property
+    def fittable_parameters(self) -> list:
+        return [p for p in self.parameters if isinstance(p, Parameter) and not p.constrained]
+
+    # was in class AbstractDatablock(ABC):
+    @property
+    def free_parameters(self) -> list:
+        return [p for p in self.fittable_parameters if p.free]
+
+    @property
+    def as_cif(self) -> str:
+        """Return CIF representation of this object."""
+        from easydiffraction.io.cif.serialize import datablock_collection_to_cif
+
+        return datablock_collection_to_cif(self)
+
+    @typechecked
+    def _add(self, item) -> None:
+        """Add an item to the collection."""
+        self[item._identity.datablock_entry_name] = item
diff --git a/src/easydiffraction/core/diagnostic.py b/src/easydiffraction/core/diagnostic.py
new file mode 100644
index 00000000..846c8ed1
--- /dev/null
+++ b/src/easydiffraction/core/diagnostic.py
@@ -0,0 +1,217 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Diagnostics helpers for logging validation messages.
+
+This module centralizes human-friendly error and debug logs for
+attribute validation and configuration checks.
+"""
+
+import difflib
+
+from easydiffraction.utils.logging import log
+
+
+class Diagnostics:
+    """Centralized logger for attribute errors and validation hints."""
+
+    # ==============================================================
+    # Configuration / definition diagnostics
+    # ==============================================================
+
+    @staticmethod
+    def type_override_error(cls_name: str, expected, got):
+        """Report an invalid DataTypes override.
+
+        Used when descriptor and AttributeSpec types conflict.
+        """
+        expected_label = str(expected)
+        got_label = str(got)
+        msg = (
+            f'Invalid type override in <{cls_name}>. '
+            f'Descriptor enforces `{expected_label}`, '
+            f'but AttributeSpec defines `{got_label}`.'
+        )
+        Diagnostics._log_error(msg, exc_type=TypeError)
+
+    # ==============================================================
+    # Attribute diagnostics
+    # ==============================================================
+
+    @staticmethod
+    def readonly_error(
+        name: str,
+        key: str | None = None,
+    ):
+        """Log an attempt to change a read-only attribute."""
+        Diagnostics._log_error(
+            f"Cannot modify read-only attribute '{key}' of <{name}>.",
+            exc_type=AttributeError,
+        )
+
+    @staticmethod
+    def attr_error(
+        name: str,
+        key: str,
+        allowed: set[str],
+        label='Allowed',
+    ):
+        """Log access to an unknown attribute and suggest closest
+        key.
+        """
+        suggestion = Diagnostics._build_suggestion(key, allowed)
+        # Use consistent (label) logic for allowed
+        hint = suggestion or Diagnostics._build_allowed(allowed, label=label)
+        Diagnostics._log_error(
+            f"Unknown attribute '{key}' of <{name}>.{hint}",
+            exc_type=AttributeError,
+        )
+
+    # ==============================================================
+    # Validation diagnostics
+    # ==============================================================
+
+    @staticmethod
+    def type_mismatch(
+        name: str,
+        value,
+        expected_type,
+        current=None,
+        default=None,
+    ):
+        """Log a type mismatch and keep current or default value."""
+        got_type = type(value).__name__
+        msg = (
+            f'Type mismatch for <{name}>. '
+            f'Expected `{expected_type}`, got `{got_type}` ({value!r}).'
+        )
+        Diagnostics._log_error_with_fallback(
+            msg, current=current, default=default, exc_type=TypeError
+        )
+
+    @staticmethod
+    def range_mismatch(
+        name: str,
+        value,
+        ge,
+        le,
+        current=None,
+        default=None,
+    ):
+        """Log range violation for a numeric value."""
+        msg = f'Value mismatch for <{name}>. Provided {value!r} outside [{ge}, {le}].'
+        Diagnostics._log_error_with_fallback(
+            msg, current=current, default=default, exc_type=TypeError
+        )
+
+    @staticmethod
+    def choice_mismatch(
+        name: str,
+        value,
+        allowed,
+        current=None,
+        default=None,
+    ):
+        """Log an invalid choice against allowed values."""
+        msg = f'Value mismatch for <{name}>. Provided {value!r} is unknown.'
+        if allowed is not None:
+            msg += Diagnostics._build_allowed(allowed, label='Allowed values')
+        Diagnostics._log_error_with_fallback(
+            msg, current=current, default=default, exc_type=TypeError
+        )
+
+    @staticmethod
+    def regex_mismatch(
+        name: str,
+        value,
+        pattern,
+        current=None,
+        default=None,
+    ):
+        """Log a regex mismatch with the expected pattern."""
+        msg = (
+            f"Value mismatch for <{name}>. Provided {value!r} does not match pattern '{pattern}'."
+        )
+        Diagnostics._log_error_with_fallback(
+            msg, current=current, default=default, exc_type=TypeError
+        )
+
+    @staticmethod
+    def no_value(name, default):
+        """Log that default will be used due to missing value."""
+        Diagnostics._log_debug(f'No value provided for <{name}>. Using default {default!r}.')
+
+    @staticmethod
+    def none_value(name):
+        """Log explicit None provided by a user."""
+        Diagnostics._log_debug(f'Using `None` explicitly provided for <{name}>.')
+
+    @staticmethod
+    def none_value_skip_range(name):
+        """Log that range validation is skipped due to None."""
+        Diagnostics._log_debug(
+            f'Skipping range validation as `None` is explicitly provided for <{name}>.'
+        )
+
+    @staticmethod
+    def validated(name, value, stage: str | None = None):
+        """Log that a value passed a validation stage."""
+        stage_info = f' {stage}' if stage else ''
+        Diagnostics._log_debug(f'Value {value!r} for <{name}> passed{stage_info} validation.')
+
+    # ==============================================================
+    # Helper log methods
+    # ==============================================================
+
+    @staticmethod
+    def _log_error(msg, exc_type=Exception):
+        """Emit an error-level message via shared logger."""
+        log.error(msg, exc_type=exc_type)
+
+    @staticmethod
+    def _log_error_with_fallback(
+        msg,
+        current=None,
+        default=None,
+        exc_type=Exception,
+    ):
+        """Emit an error message and mention kept or default value."""
+        if current is not None:
+            msg += f' Keeping current {current!r}.'
+        else:
+            msg += f' Using default {default!r}.'
+        log.error(msg, exc_type=exc_type)
+
+    @staticmethod
+    def _log_debug(msg):
+        """Emit a debug-level message via shared logger."""
+        log.debug(msg)
+
+    # ==============================================================
+    # Suggestion and allowed value helpers
+    # ==============================================================
+
+    @staticmethod
+    def _suggest(key: str, allowed: set[str]):
+        """Suggest closest allowed key using string similarity."""
+        if not allowed:
+            return None
+        # Return the allowed key with smallest Levenshtein distance
+        matches = difflib.get_close_matches(key, allowed, n=1)
+        return matches[0] if matches else None
+
+    @staticmethod
+    def _build_suggestion(key: str, allowed: set[str]):
+        s = Diagnostics._suggest(key, allowed)
+        return f" Did you mean '{s}'?" if s else ''
+
+    @staticmethod
+    def _build_allowed(allowed, label='Allowed attributes'):
+        # allowed may be a set, list, or other iterable
+        if allowed:
+            allowed_list = list(allowed)
+            if len(allowed_list) <= 10:
+                s = ', '.join(map(repr, sorted(allowed_list)))
+                return f' {label}: {s}.'
+            else:
+                return f' ({len(allowed_list)} {label.lower()} not listed here).'
+        return ''
diff --git a/src/easydiffraction/core/factory.py b/src/easydiffraction/core/factory.py
new file mode 100644
index 00000000..cc0ecd79
--- /dev/null
+++ b/src/easydiffraction/core/factory.py
@@ -0,0 +1,36 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from typing import Iterable
+from typing import Mapping
+
+
+class FactoryBase:
+    """Reusable argument validation mixin."""
+
+    @staticmethod
+    def _validate_args(
+        present: set[str],
+        allowed_specs: Iterable[Mapping[str, Iterable[str]]],
+        factory_name: str,
+    ) -> None:
+        """Validate provided arguments against allowed combinations."""
+        for spec in allowed_specs:
+            required = set(spec.get('required', []))
+            optional = set(spec.get('optional', []))
+            if required.issubset(present) and present <= (required | optional):
+                return  # valid combo
+        # build readable error message
+        combos = []
+        for spec in allowed_specs:
+            req = ', '.join(spec.get('required', []))
+            opt = ', '.join(spec.get('optional', []))
+            if opt:
+                combos.append(f'({req}[, {opt}])')
+            else:
+                combos.append(f'({req})')
+        raise ValueError(
+            f'Invalid argument combination for {factory_name} creation.\n'
+            f'Provided: {sorted(present)}\n'
+            f'Allowed combinations:\n  ' + '\n  '.join(combos)
+        )
diff --git a/src/easydiffraction/core/guard.py b/src/easydiffraction/core/guard.py
new file mode 100644
index 00000000..367c400f
--- /dev/null
+++ b/src/easydiffraction/core/guard.py
@@ -0,0 +1,143 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from abc import ABC
+from abc import abstractmethod
+
+from easydiffraction.core.diagnostic import Diagnostics
+from easydiffraction.core.identity import Identity
+
+
+class GuardedBase(ABC):
+    """Base class enforcing controlled attribute access and parent
+    linkage.
+    """
+
+    _diagnoser = Diagnostics()
+
+    def __init__(self):
+        self._identity = Identity(owner=self)
+
+    def __str__(self) -> str:
+        return f'<{self.unique_name}>'
+
+    def __repr__(self) -> str:
+        return self.__str__()
+
+    def __getattr__(self, key: str):
+        cls = type(self)
+        allowed = cls._public_attrs()
+        if key not in allowed:
+            type(self)._diagnoser.attr_error(
+                self._log_name,
+                key,
+                allowed,
+                label='Allowed readable/writable',
+            )
+
+    def __setattr__(self, key: str, value):
+        # Always allow private or special attributes without diagnostics
+        if key.startswith('_'):
+            object.__setattr__(self, key, value)
+            # Also maintain parent linkage for nested objects
+            if key != '_parent' and isinstance(value, GuardedBase):
+                object.__setattr__(value, '_parent', self)
+            return
+
+        # Handle public attributes with diagnostics
+        cls = type(self)
+        # Prevent modification of read-only attributes
+        if key in cls._public_readonly_attrs():
+            cls._diagnoser.readonly_error(
+                self._log_name,
+                key,
+            )
+            return
+        # Prevent assignment to unknown attributes
+        # Show writable attributes only as allowed
+        if key not in cls._public_attrs():
+            allowed = cls._public_writable_attrs()
+            cls._diagnoser.attr_error(
+                self._log_name,
+                key,
+                allowed,
+                label='Allowed writable',
+            )
+            return
+
+        self._assign_attr(key, value)
+
+    def _assign_attr(self, key, value):
+        """Low-level assignment with parent linkage."""
+        object.__setattr__(self, key, value)
+        if key != '_parent' and isinstance(value, GuardedBase):
+            object.__setattr__(value, '_parent', self)
+
+    @classmethod
+    def _iter_properties(cls):
+        """Iterate over all public properties defined in the class
+        hierarchy.
+
+        Yields:
+            tuple[str, property]: Each (key, property) pair for public
+            attributes.
+        """
+        for base in cls.mro():
+            for key, attr in base.__dict__.items():
+                if key.startswith('_') or not isinstance(attr, property):
+                    continue
+                yield key, attr
+
+    @classmethod
+    def _public_attrs(cls):
+        """All public properties (read-only + writable)."""
+        return {key for key, _ in cls._iter_properties()}
+
+    @classmethod
+    def _public_readonly_attrs(cls):
+        """Public properties without a setter."""
+        return {key for key, prop in cls._iter_properties() if prop.fset is None}
+
+    @classmethod
+    def _public_writable_attrs(cls) -> set[str]:
+        """Public properties with a setter."""
+        return {key for key, prop in cls._iter_properties() if prop.fset is not None}
+
+    def _allowed_attrs(self, writable_only=False):
+        cls = type(self)
+        if writable_only:
+            return cls._public_writable_attrs()
+        return cls._public_attrs()
+
+    @property
+    def _log_name(self):
+        return self.unique_name or type(self).__name__
+
+    @property
+    def unique_name(self):
+        return type(self).__name__
+
+    # @property
+    # def identity(self):
+    #    """Expose a limited read-only view of identity attributes."""
+    #    return SimpleNamespace(
+    #        datablock_entry_name=self._identity.datablock_entry_name,
+    #        category_code=self._identity.category_code,
+    #        category_entry_name=self._identity.category_entry_name,
+    #    )
+
+    @property
+    @abstractmethod
+    def parameters(self):
+        """Return a list of parameter objects (to be implemented by
+        subclasses).
+        """
+        raise NotImplementedError
+
+    @property
+    @abstractmethod
+    def as_cif(self) -> str:
+        """Return CIF representation of this object (to be implemented
+        by subclasses).
+        """
+        raise NotImplementedError
diff --git a/src/easydiffraction/core/identity.py b/src/easydiffraction/core/identity.py
new file mode 100644
index 00000000..90c74231
--- /dev/null
+++ b/src/easydiffraction/core/identity.py
@@ -0,0 +1,77 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Identity helpers to build CIF-like hierarchical names.
+
+Used by containers and items to expose datablock/category/entry names
+without tight coupling.
+"""
+
+from typing import Callable
+
+
+class Identity:
+    """Resolve datablock/category/entry relationships lazily."""
+
+    def __init__(
+        self,
+        *,
+        owner: object,
+        datablock_entry: Callable | None = None,
+        category_code: str | None = None,
+        category_entry: Callable | None = None,
+    ):
+        self._owner = owner
+        self._datablock_entry = datablock_entry
+        self._category_code = category_code
+        self._category_entry = category_entry
+
+    def _resolve_up(self, attr: str, visited=None):
+        """Resolve attribute by walking up parent chain safely."""
+        if visited is None:
+            visited = set()
+        if id(self) in visited:
+            return None
+        visited.add(id(self))
+
+        # Direct callable or value on self
+        value = getattr(self, f'_{attr}', None)
+        if callable(value):
+            return value()
+        if isinstance(value, str):
+            return value
+
+        # Climb to parent if available
+        parent = getattr(self._owner, '__dict__', {}).get('_parent')
+        if parent and hasattr(parent, '_identity'):
+            return parent._identity._resolve_up(attr, visited)
+        return None
+
+    @property
+    def datablock_entry_name(self):
+        """Datablock entry name or None if not set."""
+        return self._resolve_up('datablock_entry')
+
+    @datablock_entry_name.setter
+    def datablock_entry_name(self, func: callable):
+        """Set callable returning datablock entry name."""
+        self._datablock_entry = func
+
+    @property
+    def category_code(self):
+        """Category code like 'atom_site' or 'background'."""
+        return self._resolve_up('category_code')
+
+    @category_code.setter
+    def category_code(self, value: str):
+        """Set category code value."""
+        self._category_code = value
+
+    @property
+    def category_entry_name(self):
+        """Category entry name or None if not set."""
+        return self._resolve_up('category_entry')
+
+    @category_entry_name.setter
+    def category_entry_name(self, func: callable):
+        """Set callable returning category entry name."""
+        self._category_entry = func
diff --git a/src/easydiffraction/core/objects.py b/src/easydiffraction/core/objects.py
deleted file mode 100644
index edf5e675..00000000
--- a/src/easydiffraction/core/objects.py
+++ /dev/null
@@ -1,538 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import secrets
-import string
-from abc import ABC
-from abc import abstractmethod
-from typing import Any
-from typing import Dict
-from typing import Iterator
-from typing import List
-from typing import Optional
-from typing import TypeVar
-from typing import Union
-
-from easydiffraction.core.singletons import UidMapHandler
-from easydiffraction.utils.decorators import enforce_type
-from easydiffraction.utils.formatting import error
-from easydiffraction.utils.formatting import warning
-
-T = TypeVar('T')
-
-
-class Descriptor:
-    """Base class for descriptors (non-refinable attributes)."""
-
-    def __init__(
-        self,
-        # Value of the parameter
-        value: Any,
-        # ED parameter name (to access it in the code)
-        name: str,
-        # CIF parameter name (to show it in the CIF)
-        cif_name: str,
-        # Pretty name (to show it in the table)
-        pretty_name: Optional[str] = None,
-        # Parent datablock name
-        datablock_id: Optional[str] = None,
-        # ED parent category name
-        category_key: Optional[str] = None,
-        # CIF parent category name
-        cif_category_key: Optional[str] = None,
-        # Parent collection entry id
-        collection_entry_id: Optional[str] = None,
-        # Units of the parameter
-        units: Optional[str] = None,
-        # Description of the parameter
-        description: Optional[str] = None,
-        # If false, the parameter can never be edited. It is calculated
-        # automatically
-        editable: bool = True,
-    ) -> None:
-        self._value = value
-        self.name: str = name
-        self.cif_name: str = cif_name
-        self.pretty_name: Optional[str] = pretty_name
-        self._datablock_id: Optional[str] = datablock_id
-        self.category_key: Optional[str] = category_key
-        self.cif_category_key: Optional[str] = cif_category_key
-        self._collection_entry_id: Optional[str] = collection_entry_id
-        self.units: Optional[str] = units
-        self._description: Optional[str] = description
-        self._editable: bool = editable
-
-        self._human_uid = self._generate_human_readable_unique_id()
-
-        UidMapHandler.get().add_to_uid_map(self)
-
-    def __str__(self):
-        # Base value string
-        value_str = f'{self.__class__.__name__}: {self.uid} = {self.value}'
-
-        # Append ± uncertainty if it exists and is nonzero
-        if hasattr(self, 'uncertainty') and self.uncertainty != 0.0:
-            value_str += f' ± {self.uncertainty}'
-
-        # Append units if available
-        if self.units:
-            value_str += f' {self.units}'
-
-        return value_str
-
-    def __repr__(self):
-        return self.__str__()
-
-    def _generate_random_unique_id(self) -> str:
-        # Derived class Parameter will use this unique id for the
-        # minimization process to identify the parameter. It will also
-        # be used to create the alias for the parameter in the
-        # constraint expression.
-        length = 16
-        letters = [secrets.choice(string.ascii_lowercase) for _ in range(length)]
-        uid = ''.join(letters)
-        return uid
-
-    def _generate_human_readable_unique_id(self):
-        # Instead of generating a random string, we can use the
-        # name of the parameter and the block name to create a unique
-        # id.
-        #  E.g.:
-        #  - "block-id.category-name.parameter-name":
-        #    "lbco.cell.length_a"
-        #  - "block-id.category-name.entry-id.parameter-name":
-        #    "lbco.atom_site.Ba.fract_x"
-        # For the analysis, we can use the same format, but without the
-        # datablock id. E.g.:
-        #  - "category-name.entry-id.parameter-name":
-        #    "alias.occ_Ba.label"
-        # This need to be called after the parameter is created and all
-        # its attributes are set.
-        if self.datablock_id:
-            uid = f'{self.datablock_id}.{self.cif_category_key}'
-        else:
-            uid = f'{self.cif_category_key}'
-        if self.collection_entry_id:
-            uid += f'.{self.collection_entry_id}'
-        uid += f'.{self.cif_name}'
-        return uid
-
-    @property
-    def datablock_id(self):
-        return self._datablock_id
-
-    @datablock_id.setter
-    def datablock_id(self, new_id):
-        self._datablock_id = new_id
-        # Update the unique id, when datablock_id attribute is of
-        # the parameter is changed
-        self.uid = self._generate_human_readable_unique_id()
-
-    @property
-    def collection_entry_id(self):
-        return self._collection_entry_id
-
-    @collection_entry_id.setter
-    def collection_entry_id(self, new_id):
-        self._collection_entry_id = new_id
-        # Update the unique id, when datablock_id attribute is of
-        # the parameter is changed
-        self.uid = self._generate_human_readable_unique_id()
-
-    @property
-    def uid(self):
-        return self._human_uid
-
-    @uid.setter
-    def uid(self, new_uid):
-        # Update the unique id in the global uid map
-        old_uid = self._human_uid
-        self._human_uid = new_uid
-        UidMapHandler.get().replace_uid(old_uid, new_uid)
-
-    @property
-    def minimizer_uid(self):
-        return self.uid.replace('.', '__')
-
-    @property
-    def value(self) -> Any:
-        return self._value
-
-    @value.setter
-    def value(self, new_value: Any) -> None:
-        if self._editable:
-            self._value = new_value
-        else:
-            print(
-                warning(
-                    f"The parameter '{self.cif_name}' it is calculated "
-                    f'automatically and cannot be changed manually.'
-                )
-            )
-
-    @property
-    def description(self) -> Optional[str]:
-        return self._description
-
-    @property
-    def editable(self) -> bool:
-        return self._editable
-
-
-class Parameter(Descriptor):
-    """A parameter with a value, uncertainty, units, and CIF
-    representation.
-    """
-
-    def __init__(
-        self,
-        value: Any,
-        name: str,
-        cif_name: str,
-        pretty_name: Optional[str] = None,
-        datablock_id: Optional[str] = None,  # Parent datablock name
-        category_key: Optional[str] = None,
-        cif_category_key: Optional[str] = None,
-        collection_entry_id: Optional[str] = None,
-        units: Optional[str] = None,
-        description: Optional[str] = None,
-        editable: bool = True,
-        uncertainty: float = 0.0,
-        free: bool = False,
-        constrained: bool = False,
-        min_value: Optional[float] = None,
-        max_value: Optional[float] = None,
-    ) -> None:
-        super().__init__(
-            value,
-            name,
-            cif_name,
-            pretty_name,
-            datablock_id,
-            category_key,
-            cif_category_key,
-            collection_entry_id,
-            units,
-            description,
-            editable,
-        )
-        self.uncertainty: float = (
-            uncertainty  # Standard uncertainty or estimated standard deviation
-        )
-        self.free: bool = free  # If the parameter is free to be fitted during the optimization
-        self.constrained: bool = (
-            constrained  # If symmetry constrains the parameter during the optimization
-        )
-        self.min: Optional[float] = min_value  # Minimum physical value of the parameter
-        self.max: Optional[float] = max_value  # Maximum physical value of the parameter
-        self.start_value: Optional[Any] = None  # Starting value for optimization
-
-
-class Component(ABC):
-    """Base class for standard components, like Cell, Peak, etc."""
-
-    @property
-    @abstractmethod
-    def category_key(self):
-        """Must be implemented in subclasses to return the ED category
-        name.
-
-        Can differ from cif_category_key.
-        """
-        pass
-
-    @property
-    @abstractmethod
-    def cif_category_key(self):
-        """Must be implemented in subclasses to return the CIF category
-        name.
-        """
-        pass
-
-    def __init__(self):
-        self._locked = False  # If adding new attributes is locked
-
-        self._datablock_id = None  # Parent datablock name to be set by the parent
-        self._entry_id = None  # Parent collection entry id to be set by the parent
-
-        # TODO: Currently, it is not used. Planned to be used for
-        #  displaying the parameters in the specific order.
-        self._ordered_attrs: List[str] = []
-
-    def __getattr__(self, name: str) -> Any:
-        """If the attribute is a Parameter or Descriptor, return its
-        value by default.
-        """
-        attr = self.__dict__.get(name, None)
-        if isinstance(attr, (Descriptor, Parameter)):
-            return attr.value
-        raise AttributeError(f'{name} not found in {self}')
-
-    def __setattr__(self, name: str, value: Any) -> None:
-        """If an object is locked for adding new attributes, raise an
-        error.
-
-        If the attribute 'name' does not exist, add it. If the attribute
-        'name' exists and is a Parameter or Descriptor, set its value.
-        """
-        if hasattr(self, '_locked') and self._locked and not hasattr(self, name):
-            print(error(f"Cannot add new parameter '{name}'"))
-            return
-
-        # Try to get the attribute from the instance's dictionary
-        attr = self.__dict__.get(name, None)
-
-        # If the attribute is not set, and it is a Parameter or
-        # Descriptor, set its category_key and cif_category_key to the
-        # current category_key and cif_category_key and add it to the
-        # component. Also add its name to the list of ordered attributes
-        if attr is None:
-            if isinstance(value, (Descriptor, Parameter)):
-                value.category_key = self.category_key
-                value.cif_category_key = self.cif_category_key
-                self._ordered_attrs.append(name)
-            super().__setattr__(name, value)
-        # If the attribute is already set and is a Parameter or
-        # Descriptor, update its value. Else, allow normal reassignment
-        else:
-            if isinstance(attr, (Descriptor, Parameter)):
-                attr.value = value
-            else:
-                super().__setattr__(name, value)
-
-    @property
-    def datablock_id(self):
-        return self._datablock_id
-
-    @datablock_id.setter
-    def datablock_id(self, new_id):
-        self._datablock_id = new_id
-        # For each parameter in this component, also update its
-        # datablock_id
-        for param in self.get_all_params():
-            param.datablock_id = new_id
-
-    @property
-    def entry_id(self):
-        return self._entry_id
-
-    @entry_id.setter
-    def entry_id(self, new_id):
-        self._entry_id = new_id
-        # For each parameter in the component, set the entry_id
-        for param in self.get_all_params():
-            param.collection_entry_id = new_id
-
-    def get_all_params(self):
-        attr_objs = []
-        for attr_name in dir(self):
-            attr_obj = getattr(self, attr_name)
-            if isinstance(attr_obj, (Descriptor, Parameter)):
-                attr_objs.append(attr_obj)
-        return attr_objs
-
-    def as_dict(self) -> Dict[str, Any]:
-        d = {}
-
-        for attr_name in dir(self):
-            if attr_name.startswith('_'):
-                continue
-
-            attr_obj = getattr(self, attr_name)
-            if not isinstance(attr_obj, (Descriptor, Parameter)):
-                continue
-
-            key = attr_obj.cif_name
-            value = attr_obj.value
-            d[key] = value
-
-        return d
-
-    def as_cif(self) -> str:
-        if not self.cif_category_key:
-            raise ValueError('cif_category_key must be defined in the derived class.')
-
-        lines = []
-
-        for attr_name in dir(self):
-            if attr_name.startswith('_'):
-                continue
-
-            attr_obj = getattr(self, attr_name)
-            if not isinstance(attr_obj, (Descriptor, Parameter)):
-                continue
-
-            key = f'_{self.cif_category_key}.{attr_obj.cif_name}'
-            value = attr_obj.value
-
-            if value is None:
-                continue
-
-            if isinstance(value, str) and ' ' in value:
-                value = f'"{value}"'
-
-            line = f'{key}  {value}'
-            lines.append(line)
-
-        return '\n'.join(lines)
-
-
-class Collection(ABC):
-    """Base class for collections like AtomSites, LinkedPhases,
-    SampleModels, Experiments, etc.
-    """
-
-    @property
-    @abstractmethod
-    def _child_class(self):
-        return None
-
-    def __init__(self, parent=None):
-        self._parent = parent  # Parent datablock
-        self._datablock_id = None  # Parent datablock name to be set by the parent
-        self._items = {}
-
-    def __getitem__(self, key: str) -> Union[Component, 'Collection']:
-        return self._items[key]
-
-    def __iter__(self) -> Iterator[Union[Component, 'Collection']]:
-        return iter(self._items.values())
-
-    @property
-    def datablock_id(self):
-        return self._datablock_id
-
-    @datablock_id.setter
-    def datablock_id(self, new_id):
-        self._datablock_id = new_id
-        for param in self.get_all_params():
-            param.datablock_id = new_id
-
-    def add(self, *args, **kwargs):
-        """Add a new item to the collection.
-
-        The item must be a subclass of Component.
-        """
-        if self._child_class is None:
-            raise ValueError('Child class is not defined.')
-        child_obj = self._child_class(*args, **kwargs)
-        # Setting the datablock_id to update its child parameters
-        child_obj.datablock_id = self.datablock_id
-        # Forcing the entry_id to be reset to update its child
-        # parameters
-        child_obj.entry_id = child_obj.entry_id
-        self._items[child_obj._entry_id] = child_obj
-
-        # Call on_item_added if it exists, i.e. defined in the derived
-        # class
-        if hasattr(self, 'on_item_added'):
-            self.on_item_added(child_obj)
-
-    def get_all_params(self):
-        params = []
-        for item in self._items.values():
-            if isinstance(item, Datablock):
-                datablock = item
-                for datablock_item in datablock.items():
-                    if isinstance(datablock_item, Component):
-                        component = datablock_item
-                        for param in component.get_all_params():
-                            params.append(param)
-                    elif isinstance(datablock_item, Collection):
-                        collection = datablock_item
-                        for component in collection:
-                            for param in component.get_all_params():
-                                params.append(param)
-            elif isinstance(item, Component):
-                component = item
-                for param in component.get_all_params():
-                    params.append(param)
-            else:
-                raise TypeError(f'Expected a Component or Datablock, got {type(item)}')
-        return params
-
-    def get_fittable_params(self) -> List[Parameter]:
-        all_params = self.get_all_params()
-        params = []
-        for param in all_params:
-            if hasattr(param, 'free') and not param.constrained:
-                params.append(param)
-        return params
-
-    def get_free_params(self) -> List[Parameter]:
-        fittable_params = self.get_fittable_params()
-        params = []
-        for param in fittable_params:
-            if param.free:
-                params.append(param)
-        return params
-
-    def as_cif(self) -> str:
-        lines = []
-        if self._type == 'category':
-            for idx, item in enumerate(self._items.values()):
-                params = item.as_dict()
-                category_key = item.cif_category_key
-                # Keys
-                keys = [f'_{category_key}.{param_key}' for param_key in params]
-                # Values. If the value is a string and contains spaces,
-                # add quotes
-                values = []
-                for value in params.values():
-                    value = f'{value}'
-                    if ' ' in value:
-                        value = f'"{value}"'
-                    values.append(value)
-                # Header is added only for the first item
-                if idx == 0:
-                    lines.append('loop_')
-                    header = '\n'.join(keys)
-                    lines.append(header)
-                line = ' '.join(values)
-                lines.append(line)
-        return '\n'.join(lines)
-
-
-class Datablock:
-    """Base class for Sample Model and Experiment data blocks."""
-
-    # TODO: Consider unifying with class Component?
-
-    def __init__(self):
-        self._name = None
-
-    def __setattr__(self, name, value):
-        # TODO: compare with class Component
-        # If the value is a Component or Collection:
-        # - set its datablock_id to the current datablock name
-        # - add it to the datablock
-        if isinstance(value, (Component, Collection)):
-            value.datablock_id = self._name
-        super().__setattr__(name, value)
-
-    def items(self):
-        """Returns a list of both components and collections in the data
-        block.
-        """
-        attr_objs = []
-        for attr_name in dir(self):
-            if attr_name.startswith('_'):
-                continue
-            attr_obj = getattr(self, attr_name)
-            if isinstance(attr_obj, (Component, Collection)):
-                attr_objs.append(attr_obj)
-        return attr_objs
-
-    @property
-    def name(self):
-        return self._name
-
-    @name.setter
-    @enforce_type
-    def name(self, new_name: str):
-        self._name = new_name
-        # For each component/collection in this datablock,
-        # also update its datablock_id if it has one
-        for item in getattr(self, '__dict__', {}).values():
-            if isinstance(item, (Component, Collection)):
-                item.datablock_id = new_name
diff --git a/src/easydiffraction/core/parameters.py b/src/easydiffraction/core/parameters.py
new file mode 100644
index 00000000..52feb772
--- /dev/null
+++ b/src/easydiffraction/core/parameters.py
@@ -0,0 +1,401 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+import secrets
+import string
+from typing import TYPE_CHECKING
+from typing import Any
+
+import numpy as np
+
+from easydiffraction.core.diagnostic import Diagnostics
+from easydiffraction.core.guard import GuardedBase
+from easydiffraction.core.singletons import UidMapHandler
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import TypeValidator
+from easydiffraction.io.cif.serialize import param_from_cif
+from easydiffraction.io.cif.serialize import param_to_cif
+
+if TYPE_CHECKING:
+    from easydiffraction.io.cif.handler import CifHandler
+
+
+class GenericDescriptorBase(GuardedBase):
+    """Base class for all parameter-like descriptors.
+
+    A descriptor encapsulates a typed value with validation,
+    human-readable name/description and a globally unique identifier
+    that is stable across the session. Concrete subclasses specialize
+    the expected data type and can extend the public API with
+    additional behavior (e.g. units).
+
+    Attributes:
+        name: Local parameter name (e.g. 'a', 'b_iso').
+        description: Optional human-readable description.
+        uid: Stable random identifier for external references.
+    """
+
+    _BOOL_SPEC_TEMPLATE = AttributeSpec(
+        type_=DataTypes.BOOL,
+        default=False,
+    )
+
+    def __init__(
+        self,
+        *,
+        value_spec: AttributeSpec,
+        name: str,
+        description: str = None,
+    ):
+        """Initialize the descriptor with validation and identity.
+
+        Args:
+            value_spec: Validation specification for the value.
+            name: Local name of the descriptor within its category.
+            description: Optional human-readable description.
+        """
+        super().__init__()
+
+        expected_type = getattr(self, '_value_type', None)
+
+        if expected_type:
+            user_type = (
+                value_spec._type_validator.expected_type
+                if value_spec._type_validator is not None
+                else None
+            )
+            if user_type and user_type is not expected_type:
+                Diagnostics.type_override_error(
+                    type(self).__name__,
+                    expected_type,
+                    user_type,
+                )
+            else:
+                # Enforce descriptor's own type if not already defined
+                value_spec._type_validator = TypeValidator(expected_type)
+
+        self._value_spec = value_spec
+        self._name = name
+        self._description = description
+
+        # Initial validated states
+        self._value = self._value_spec.validated(
+            value_spec.value,
+            name=self.unique_name,
+        )
+
+    def __str__(self) -> str:
+        return f'<{self.unique_name} = {self.value!r}>'
+
+    @property
+    def name(self) -> str:
+        """Local name of the descriptor (without category/datablock)."""
+        return self._name
+
+    @property
+    def unique_name(self):
+        """Fully qualified name including datablock, category and entry
+        name.
+        """
+        # 7c: Use filter(None, [...])
+        parts = [
+            self._identity.datablock_entry_name,
+            self._identity.category_code,
+            self._identity.category_entry_name,
+            self.name,
+        ]
+        return '.'.join(filter(None, parts))
+
+    def _parent_of_type(self, cls):
+        """Walk up the parent chain and return the first parent of type
+        `cls`.
+        """
+        obj = getattr(self, '_parent', None)
+        visited = set()
+        while obj is not None and id(obj) not in visited:
+            visited.add(id(obj))
+            if isinstance(obj, cls):
+                return obj
+            obj = getattr(obj, '_parent', None)
+        return None
+
+    def _datablock_item(self):
+        """Return the DatablockItem ancestor, if any."""
+        from easydiffraction.core.datablock import DatablockItem
+
+        return self._parent_of_type(DatablockItem)
+
+    @property
+    def value(self):
+        """Current validated value."""
+        return self._value
+
+    @value.setter
+    def value(self, v):
+        """Set a new value after validating against the spec."""
+        # Do nothing if the value is unchanged
+        if self._value == v:
+            return
+
+        # Validate and set the new value
+        self._value = self._value_spec.validated(
+            v,
+            name=self.unique_name,
+            current=self._value,
+        )
+
+        # Mark parent datablock as needing categories update
+        # TODO: Check if it is actually in use?
+        parent_datablock = self._datablock_item()
+        if parent_datablock is not None:
+            parent_datablock._need_categories_update = True
+
+    @property
+    def description(self):
+        """Optional human-readable description."""
+        return self._description
+
+    @property
+    def parameters(self):
+        """Return a flat list of parameters contained by this object.
+
+        For a single descriptor, it returns a one-element list with
+        itself. Composite objects override this to flatten nested
+        structures.
+        """
+        return [self]
+
+    @property
+    def as_cif(self) -> str:
+        """Serialize this descriptor to a CIF-formatted string."""
+        return param_to_cif(self)
+
+    def from_cif(self, block, idx=0):
+        """Populate this parameter from a CIF block."""
+        param_from_cif(self, block, idx)
+
+
+class GenericStringDescriptor(GenericDescriptorBase):
+    _value_type = DataTypes.STRING
+
+    def __init__(
+        self,
+        **kwargs: Any,
+    ) -> None:
+        super().__init__(**kwargs)
+
+
+class GenericNumericDescriptor(GenericDescriptorBase):
+    _value_type = DataTypes.NUMERIC
+
+    def __init__(
+        self,
+        *,
+        units: str = '',
+        **kwargs: Any,
+    ) -> None:
+        super().__init__(**kwargs)
+        self._units: str = units
+
+    def __str__(self) -> str:
+        s: str = super().__str__()
+        s = s[1:-1]  # strip <>
+        if self.units:
+            s += f' {self.units}'
+        return f'<{s}>'
+
+    @property
+    def units(self) -> str:
+        """Units associated with the numeric value, if any."""
+        return self._units
+
+
+class GenericParameter(GenericNumericDescriptor):
+    """Numeric descriptor extended with fitting-related attributes.
+
+    Adds standard attributes used by minimizers: "free" flag,
+    uncertainty, bounds and an optional starting value. Subclasses can
+    integrate with specific backends while preserving this interface.
+    """
+
+    def __init__(
+        self,
+        **kwargs: Any,
+    ):
+        super().__init__(**kwargs)
+
+        # Initial validated states
+        self._free_spec = self._BOOL_SPEC_TEMPLATE
+        self._free = self._free_spec.default
+        self._uncertainty_spec = AttributeSpec(
+            type_=DataTypes.NUMERIC,
+            content_validator=RangeValidator(ge=0),
+            allow_none=True,
+        )
+        self._uncertainty = self._uncertainty_spec.default
+        self._fit_min_spec = AttributeSpec(type_=DataTypes.NUMERIC, default=-np.inf)
+        self._fit_min = self._fit_min_spec.default
+        self._fit_max_spec = AttributeSpec(type_=DataTypes.NUMERIC, default=np.inf)
+        self._fit_max = self._fit_max_spec.default
+        self._start_value_spec = AttributeSpec(type_=DataTypes.NUMERIC, default=0.0)
+        self._start_value = self._start_value_spec.default
+        self._constrained_spec = self._BOOL_SPEC_TEMPLATE
+        self._constrained = self._constrained_spec.default
+
+        self._uid: str = self._generate_uid()
+        UidMapHandler.get().add_to_uid_map(self)
+
+    def __str__(self) -> str:
+        s = GenericDescriptorBase.__str__(self)
+        s = s[1:-1]  # strip <>
+        if self.uncertainty is not None:
+            s += f' ± {self.uncertainty}'
+        if self.units is not None:
+            s += f' {self.units}'
+        s += f' (free={self.free})'
+        return f'<{s}>'
+
+    @staticmethod
+    def _generate_uid(length: int = 16) -> str:
+        letters = string.ascii_lowercase
+        return ''.join(secrets.choice(letters) for _ in range(length))
+
+    @property
+    def uid(self):
+        """Stable random identifier for this descriptor."""
+        return self._uid
+
+    @property
+    def _minimizer_uid(self):
+        """Variant of uid that is safe for minimizer engines."""
+        # return self.unique_name.replace('.', '__')
+        return self.uid
+
+    @property
+    def name(self) -> str:
+        """Local name of the parameter (without category/datablock)."""
+        return self._name
+
+    @property
+    def unique_name(self):
+        """Fully qualified parameter name including its context path."""
+        parts = [
+            self._identity.datablock_entry_name,
+            self._identity.category_code,
+            self._identity.category_entry_name,
+            self.name,
+        ]
+        return '.'.join(filter(None, parts))
+
+    @property
+    def constrained(self):
+        """Whether this parameter is part of a constraint expression."""
+        return self._constrained
+
+    @property
+    def free(self):
+        """Whether this parameter is currently varied during fitting."""
+        return self._free
+
+    @free.setter
+    def free(self, v):
+        """Set the "free" flag after validation."""
+        self._free = self._free_spec.validated(
+            v, name=f'{self.unique_name}.free', current=self._free
+        )
+
+    @property
+    def uncertainty(self):
+        """Estimated standard uncertainty of the fitted value, if
+        available.
+        """
+        return self._uncertainty
+
+    @uncertainty.setter
+    def uncertainty(self, v):
+        """Set the uncertainty value (must be non-negative or None)."""
+        self._uncertainty = self._uncertainty_spec.validated(
+            v, name=f'{self.unique_name}.uncertainty', current=self._uncertainty
+        )
+
+    @property
+    def fit_min(self):
+        """Lower fitting bound."""
+        return self._fit_min
+
+    @fit_min.setter
+    def fit_min(self, v):
+        """Set the lower bound for the parameter value."""
+        self._fit_min = self._fit_min_spec.validated(
+            v, name=f'{self.unique_name}.fit_min', current=self._fit_min
+        )
+
+    @property
+    def fit_max(self):
+        """Upper fitting bound."""
+        return self._fit_max
+
+    @fit_max.setter
+    def fit_max(self, v):
+        """Set the upper bound for the parameter value."""
+        self._fit_max = self._fit_max_spec.validated(
+            v, name=f'{self.unique_name}.fit_max', current=self._fit_max
+        )
+
+
+class StringDescriptor(GenericStringDescriptor):
+    def __init__(
+        self,
+        *,
+        cif_handler: CifHandler,
+        **kwargs: Any,
+    ) -> None:
+        """String descriptor bound to a CIF handler.
+
+        Args:
+            cif_handler: Object that tracks CIF identifiers.
+            **kwargs: Forwarded to GenericStringDescriptor.
+        """
+        super().__init__(**kwargs)
+        self._cif_handler = cif_handler
+        self._cif_handler.attach(self)
+
+
+class NumericDescriptor(GenericNumericDescriptor):
+    def __init__(
+        self,
+        *,
+        cif_handler: CifHandler,
+        **kwargs: Any,
+    ) -> None:
+        """Numeric descriptor bound to a CIF handler.
+
+        Args:
+            cif_handler: Object that tracks CIF identifiers.
+            **kwargs: Forwarded to GenericNumericDescriptor.
+        """
+        super().__init__(**kwargs)
+        self._cif_handler = cif_handler
+        self._cif_handler.attach(self)
+
+
+class Parameter(GenericParameter):
+    def __init__(
+        self,
+        *,
+        cif_handler: CifHandler,
+        **kwargs: Any,
+    ) -> None:
+        """Fittable parameter bound to a CIF handler.
+
+        Args:
+            cif_handler: Object that tracks CIF identifiers.
+            **kwargs: Forwarded to GenericParameter.
+        """
+        super().__init__(**kwargs)
+        self._cif_handler = cif_handler
+        self._cif_handler.attach(self)
diff --git a/src/easydiffraction/core/singletons.py b/src/easydiffraction/core/singletons.py
index 4d03b78b..b699422e 100644
--- a/src/easydiffraction/core/singletons.py
+++ b/src/easydiffraction/core/singletons.py
@@ -10,10 +10,10 @@
 
 from asteval import Interpreter
 
-T = TypeVar('T', bound='BaseSingleton')
+T = TypeVar('T', bound='SingletonBase')
 
 
-class BaseSingleton:
+class SingletonBase:
     """Base class to implement Singleton pattern.
 
     Ensures only one shared instance of a class is ever created. Useful
@@ -30,7 +30,7 @@ def get(cls: Type[T]) -> T:
         return cls._instance
 
 
-class UidMapHandler(BaseSingleton):
+class UidMapHandler(SingletonBase):
     """Global handler to manage UID-to-Parameter object mapping."""
 
     def __init__(self) -> None:
@@ -42,7 +42,18 @@ def get_uid_map(self) -> Dict[str, Any]:
         return self._uid_map
 
     def add_to_uid_map(self, parameter):
-        """Adds a single Parameter object to the UID map."""
+        """Adds a single Parameter or Descriptor object to the UID map.
+
+        Only Descriptor or Parameter instances are allowed (not
+        Components or others).
+        """
+        from easydiffraction.core.parameters import GenericDescriptorBase
+
+        if not isinstance(parameter, GenericDescriptorBase):
+            raise TypeError(
+                f'Cannot add object of type {type(parameter).__name__} to UID map. '
+                'Only Descriptor or Parameter instances are allowed.'
+            )
         self._uid_map[parameter.uid] = parameter
 
     def replace_uid(self, old_uid, new_uid):
@@ -51,17 +62,18 @@ def replace_uid(self, old_uid, new_uid):
         Moves the associated parameter from old_uid to new_uid. Raises a
         KeyError if the old_uid doesn't exist.
         """
-        if old_uid in self._uid_map:
-            self._uid_map[new_uid] = self._uid_map.pop(old_uid)
-        else:
+        if old_uid not in self._uid_map:
+            # Only raise if old_uid is not None and not empty
+            print('DEBUG: replace_uid failed', old_uid, 'current map:', list(self._uid_map.keys()))
             raise KeyError(f"UID '{old_uid}' not found in the UID map.")
+        self._uid_map[new_uid] = self._uid_map.pop(old_uid)
 
     # TODO: Implement removing from the UID map
 
 
 # TODO: Implement changing atrr '.constrained' back to False
 #  when removing constraints
-class ConstraintsHandler(BaseSingleton):
+class ConstraintsHandler(SingletonBase):
     """Manages user-defined parameter constraints using aliases and
     expressions.
 
@@ -88,7 +100,7 @@ def set_aliases(self, aliases):
         Called when user registers parameter aliases like:
             alias='biso_La', param=model.atom_sites['La'].b_iso
         """
-        self._alias_to_param = aliases._items
+        self._alias_to_param = dict(aliases.items())
 
     def set_constraints(self, constraints):
         """Sets the constraints and triggers parsing into internal
@@ -107,7 +119,7 @@ def _parse_constraints(self) -> None:
         """
         self._parsed_constraints = []
 
-        for expr_obj in self._constraints.values():
+        for expr_obj in self._constraints:
             lhs_alias = expr_obj.lhs_alias.value
             rhs_expr = expr_obj.rhs_expr.value
 
@@ -152,8 +164,8 @@ def apply(self) -> None:
                 param = uid_map[dependent_uid]
 
                 # Update its value and mark it as constrained
-                param.value = rhs_value
-                param.constrained = True
+                param._value = rhs_value  # To bypass ranges check
+                param._constrained = True  # To bypass read-only check
 
             except Exception as error:
                 print(f"Failed to apply constraint '{lhs_alias} = {rhs_expr}': {error}")
diff --git a/src/easydiffraction/core/validation.py b/src/easydiffraction/core/validation.py
new file mode 100644
index 00000000..6bb88eae
--- /dev/null
+++ b/src/easydiffraction/core/validation.py
@@ -0,0 +1,345 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Lightweight runtime validation utilities.
+
+Provides DataTypes, type/content validators, and AttributeSpec used by
+descriptors and parameters. Only documentation was added here.
+"""
+
+import functools
+import re
+from abc import ABC
+from abc import abstractmethod
+from enum import Enum
+from enum import auto
+
+import numpy as np
+from typeguard import TypeCheckError
+from typeguard import typechecked
+
+from easydiffraction.core.diagnostic import Diagnostics
+from easydiffraction.utils.logging import log
+
+# ==============================================================
+# Shared constants
+# ==============================================================
+
+
+class DataTypes(Enum):
+    NUMERIC = (int, float, np.integer, np.floating, np.number)
+    STRING = (str,)
+    BOOL = (bool,)
+    ANY = (object,)  # fallback for unconstrained
+
+    def __str__(self):
+        return self.name.lower()
+
+    @property
+    def expected_type(self):
+        """Convenience alias for tuple of allowed Python types."""
+        return self.value
+
+
+# ==============================================================
+# Runtime type checking decorator
+# ==============================================================
+
+# Runtime type checking decorator for validating those methods
+# annotated with type hints, which are writable for the user, and
+# which are not covered by custom validators for Parameter attribute
+# types and content, implemented below.
+
+
+def checktype(func=None, *, context=None):
+    """Runtime type check decorator using typeguard.
+
+    When a TypeCheckError occurs, the error is logged and None is
+    returned. If context is provided, it is added to the message.
+    """
+
+    def decorator(f):
+        checked_func = typechecked(f)
+
+        @functools.wraps(f)
+        def wrapper(*args, **kwargs):
+            try:
+                return checked_func(*args, **kwargs)
+            except TypeCheckError as err:
+                msg = str(err)
+                if context:
+                    msg = f'{context}: {msg}'
+                log.error(message=msg, exc_type=TypeError)
+                return None
+
+        return wrapper
+
+    if func is None:
+        return decorator
+    return decorator(func)
+
+
+# ==============================================================
+# Validation stages (enum/constant)
+# ==============================================================
+
+
+class ValidationStage(Enum):
+    """Phases of validation for diagnostic logging."""
+
+    TYPE = auto()
+    RANGE = auto()
+    MEMBERSHIP = auto()
+    REGEX = auto()
+
+    def __str__(self):
+        return self.name.lower()
+
+
+# ==============================================================
+# Advanced runtime custom validators for Parameter types/content
+# ==============================================================
+
+
+class ValidatorBase(ABC):
+    """Abstract base class for all validators."""
+
+    @abstractmethod
+    def validated(self, value, name, default=None, current=None):
+        """Return a validated value or fallback.
+
+        Subclasses must implement this method.
+        """
+        raise NotImplementedError
+
+    def _fallback(
+        self,
+        current=None,
+        default=None,
+    ):
+        """Return current if set, else default."""
+        return current if current is not None else default
+
+
+class TypeValidator(ValidatorBase):
+    """Ensure a value is of the expected Python type."""
+
+    def __init__(self, expected_type: DataTypes):
+        if isinstance(expected_type, DataTypes):
+            self.expected_type = expected_type
+            self.expected_label = str(expected_type)
+        else:
+            raise TypeError(f'TypeValidator expected a DataTypes member, got {expected_type!r}')
+
+    def validated(
+        self,
+        value,
+        name,
+        default=None,
+        current=None,
+        allow_none=False,
+    ):
+        """Validate type and return value or fallback.
+
+        If allow_none is True, None bypasses content checks.
+        """
+        # Fresh initialization, use default
+        if current is None and value is None:
+            Diagnostics.no_value(name, default)
+            return default
+
+        # Explicit None (allowed)
+        if value is None and allow_none:
+            Diagnostics.none_value(name)
+            return None
+
+        # Normal type validation
+        if not isinstance(value, self.expected_type.value):
+            Diagnostics.type_mismatch(
+                name,
+                value,
+                expected_type=self.expected_label,
+                current=current,
+                default=default,
+            )
+            return self._fallback(current, default)
+
+        Diagnostics.validated(
+            name,
+            value,
+            stage=ValidationStage.TYPE,
+        )
+        return value
+
+
+class RangeValidator(ValidatorBase):
+    """Ensure a numeric value lies within [ge, le]."""
+
+    def __init__(
+        self,
+        *,
+        ge=-np.inf,
+        le=np.inf,
+    ):
+        self.ge, self.le = ge, le
+
+    def validated(
+        self,
+        value,
+        name,
+        default=None,
+        current=None,
+    ):
+        """Validate range and return value or fallback."""
+        if not (self.ge <= value <= self.le):
+            Diagnostics.range_mismatch(
+                name,
+                value,
+                self.ge,
+                self.le,
+                current=current,
+                default=default,
+            )
+            return self._fallback(current, default)
+
+        Diagnostics.validated(
+            name,
+            value,
+            stage=ValidationStage.RANGE,
+        )
+        return value
+
+
+class MembershipValidator(ValidatorBase):
+    """Ensure that a value is among allowed choices.
+
+    `allowed` may be an iterable or a callable returning a collection.
+    """
+
+    def __init__(self, allowed):
+        # Do not convert immediately to list — may be callable
+        self.allowed = allowed
+
+    def validated(
+        self,
+        value,
+        name,
+        default=None,
+        current=None,
+    ):
+        """Validate membership and return value or fallback."""
+        # Dynamically evaluate allowed if callable (e.g. lambda)
+        allowed_values = self.allowed() if callable(self.allowed) else self.allowed
+
+        if value not in allowed_values:
+            Diagnostics.choice_mismatch(
+                name,
+                value,
+                allowed_values,
+                current=current,
+                default=default,
+            )
+            return self._fallback(current, default)
+
+        Diagnostics.validated(
+            name,
+            value,
+            stage=ValidationStage.MEMBERSHIP,
+        )
+        return value
+
+
+class RegexValidator(ValidatorBase):
+    """Ensure that a string matches a given regular expression."""
+
+    def __init__(self, pattern):
+        self.pattern = re.compile(pattern)
+
+    def validated(
+        self,
+        value,
+        name,
+        default=None,
+        current=None,
+    ):
+        """Validate regex and return value or fallback."""
+        if not self.pattern.fullmatch(value):
+            Diagnostics.regex_mismatch(
+                name,
+                value,
+                self.pattern.pattern,
+                current=current,
+                default=default,
+            )
+            return self._fallback(current, default)
+
+        Diagnostics.validated(
+            name,
+            value,
+            stage=ValidationStage.REGEX,
+        )
+        return value
+
+
+# ==============================================================
+# Attribute specification holding metadata and validators
+# ==============================================================
+
+
+class AttributeSpec:
+    """Hold metadata and validators for a single attribute."""
+
+    def __init__(
+        self,
+        *,
+        value=None,
+        type_=None,
+        default=None,
+        content_validator=None,
+        allow_none: bool = False,
+    ):
+        self.value = value
+        self.default = default
+        self.allow_none = allow_none
+        self._type_validator = TypeValidator(type_) if type_ else None
+        self._content_validator = content_validator
+
+    def validated(
+        self,
+        value,
+        name,
+        current=None,
+    ):
+        """Validate through type and content validators.
+
+        Returns validated value, possibly default or current if errors
+        occur. None may short-circuit further checks when allowed.
+        """
+        val = value
+        # Evaluate callable defaults dynamically
+        default = self.default() if callable(self.default) else self.default
+
+        # Type validation
+        if self._type_validator:
+            val = self._type_validator.validated(
+                val,
+                name,
+                default=default,
+                current=current,
+                allow_none=self.allow_none,
+            )
+
+        # Skip further validation: Special case for None
+        if val is None and self.allow_none:
+            Diagnostics.none_value_skip_range(name)
+            return None
+
+        # Content validation
+        if self._content_validator and val is not None:
+            val = self._content_validator.validated(
+                val,
+                name,
+                default=default,
+                current=current,
+            )
+
+        return val
diff --git a/src/easydiffraction/crystallography/crystallography.py b/src/easydiffraction/crystallography/crystallography.py
index 66cdc446..381764a7 100644
--- a/src/easydiffraction/crystallography/crystallography.py
+++ b/src/easydiffraction/crystallography/crystallography.py
@@ -14,6 +14,7 @@
 from sympy import sympify
 
 from easydiffraction.crystallography.space_groups import SPACE_GROUPS
+from easydiffraction.utils.logging import log
 
 
 def apply_cell_symmetry_constraints(
@@ -33,52 +34,52 @@ def apply_cell_symmetry_constraints(
     it_number = get_it_number_by_name_hm_short(name_hm)
     if it_number is None:
         error_msg = f"Failed to get IT_number for name_H-M '{name_hm}'"
-        print(error_msg)
+        log.error(error_msg)  # TODO: ValueError? Diagnostics?
         return cell
 
     crystal_system = get_crystal_system_by_it_number(it_number)
     if crystal_system is None:
         error_msg = f"Failed to get crystal system for IT_number '{it_number}'"
-        print(error_msg)
+        log.error(error_msg)  # TODO: ValueError? Diagnostics?
         return cell
 
     if crystal_system == 'cubic':
         a = cell['lattice_a']
         cell['lattice_b'] = a
         cell['lattice_c'] = a
-        cell['angle_alpha'] = 90
-        cell['angle_beta'] = 90
-        cell['angle_gamma'] = 90
+        cell['angle_alpha'] = 90.0
+        cell['angle_beta'] = 90.0
+        cell['angle_gamma'] = 90.0
 
     elif crystal_system == 'tetragonal':
         a = cell['lattice_a']
         cell['lattice_b'] = a
-        cell['angle_alpha'] = 90
-        cell['angle_beta'] = 90
-        cell['angle_gamma'] = 90
+        cell['angle_alpha'] = 90.0
+        cell['angle_beta'] = 90.0
+        cell['angle_gamma'] = 90.0
 
     elif crystal_system == 'orthorhombic':
-        cell['angle_alpha'] = 90
-        cell['angle_beta'] = 90
-        cell['angle_gamma'] = 90
+        cell['angle_alpha'] = 90.0
+        cell['angle_beta'] = 90.0
+        cell['angle_gamma'] = 90.0
 
     elif crystal_system in {'hexagonal', 'trigonal'}:
         a = cell['lattice_a']
         cell['lattice_b'] = a
-        cell['angle_alpha'] = 90
-        cell['angle_beta'] = 90
-        cell['angle_gamma'] = 120
+        cell['angle_alpha'] = 90.0
+        cell['angle_beta'] = 90.0
+        cell['angle_gamma'] = 120.0
 
     elif crystal_system == 'monoclinic':
-        cell['angle_alpha'] = 90
-        cell['angle_gamma'] = 90
+        cell['angle_alpha'] = 90.0
+        cell['angle_gamma'] = 90.0
 
     elif crystal_system == 'triclinic':
         pass  # No constraints to apply
 
     else:
         error_msg = f'Unknown or unsupported crystal system: {crystal_system}'
-        print(error_msg)
+        log.error(error_msg)  # TODO: ValueError? Diagnostics?
 
     return cell
 
@@ -104,13 +105,13 @@ def apply_atom_site_symmetry_constraints(
     it_number = get_it_number_by_name_hm_short(name_hm)
     if it_number is None:
         error_msg = f"Failed to get IT_number for name_H-M '{name_hm}'"
-        print(error_msg)
+        log.error(error_msg)  # TODO: ValueError? Diagnostics?
         return atom_site
 
     it_coordinate_system_code = coord_code
     if it_coordinate_system_code is None:
         error_msg = 'IT_coordinate_system_code is not set'
-        print(error_msg)
+        log.error(error_msg)  # TODO: ValueError? Diagnostics?
         return atom_site
 
     space_group_entry = SPACE_GROUPS[(it_number, it_coordinate_system_code)]
diff --git a/src/easydiffraction/crystallography/space_groups.py b/src/easydiffraction/crystallography/space_groups.py
index d647a347..0ffa5c09 100644
--- a/src/easydiffraction/crystallography/space_groups.py
+++ b/src/easydiffraction/crystallography/space_groups.py
@@ -1,3 +1,12 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Space group reference data.
+
+Loads a gzipped, packaged pickle with crystallographic space-group
+information. The file is part of the distribution; user input is not
+involved.
+"""
+
 import gzip
 import pickle  # noqa: S403 - trusted internal pickle file (package data only)
 from pathlib import Path
@@ -15,6 +24,7 @@ def _restricted_pickle_load(file_obj) -> Any:
 
 
 def _load():
+    """Load space-group data from the packaged archive."""
     path = Path(__file__).with_name('space_groups.pkl.gz')
     with gzip.open(path, 'rb') as f:
         return _restricted_pickle_load(f)
diff --git a/src/easydiffraction/display/__init__.py b/src/easydiffraction/display/__init__.py
new file mode 100644
index 00000000..43a2b73b
--- /dev/null
+++ b/src/easydiffraction/display/__init__.py
@@ -0,0 +1,17 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Display subsystem for tables and plots.
+
+This package contains user-facing facades and backend implementations
+to render tabular data and plots in different environments.
+
+- Tables: see :mod:`easydiffraction.display.tables` and the engines in
+        :mod:`easydiffraction.display.tablers`.
+- Plots: see :mod:`easydiffraction.display.plotting` and the engines in
+        :mod:`easydiffraction.display.plotters`.
+"""
+
+# TODO: The following works in Jupyter, but breaks MkDocs builds.
+#  Disable for now.
+# from easydiffraction.display.utils import JupyterScrollManager
+# JupyterScrollManager.disable_jupyter_scroll()
diff --git a/src/easydiffraction/display/base.py b/src/easydiffraction/display/base.py
new file mode 100644
index 00000000..603e6b57
--- /dev/null
+++ b/src/easydiffraction/display/base.py
@@ -0,0 +1,135 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Common base classes for display components and their factories."""
+
+from __future__ import annotations
+
+from abc import ABC
+from abc import abstractmethod
+from typing import Any
+from typing import List
+from typing import Tuple
+
+import pandas as pd
+
+from easydiffraction.core.singletons import SingletonBase
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+
+
+class RendererBase(SingletonBase, ABC):
+    """Base class for display components with pluggable engines.
+
+    Subclasses provide a factory and a default engine. This class
+    manages the active backend instance and exposes helpers to inspect
+    supported engines in a table-friendly format.
+    """
+
+    def __init__(self):
+        self._engine = self._default_engine()
+        self._backend = self._factory().create(self._engine)
+
+    @classmethod
+    @abstractmethod
+    def _factory(cls) -> type[RendererFactoryBase]:
+        """Return the factory class for this renderer type."""
+        raise NotImplementedError
+
+    @classmethod
+    @abstractmethod
+    def _default_engine(cls) -> str:
+        """Return the default engine name for this renderer."""
+        raise NotImplementedError
+
+    @property
+    def engine(self) -> str:
+        return self._engine
+
+    @engine.setter
+    def engine(self, new_engine: str) -> None:
+        if new_engine == self._engine:
+            log.info(f"Engine is already set to '{new_engine}'. No change made.")
+            return
+        try:
+            self._backend = self._factory().create(new_engine)
+        except ValueError as exc:
+            # Log a friendly message and leave engine unchanged
+            log.warning(str(exc))
+            return
+        else:
+            self._engine = new_engine
+            console.paragraph('Current engine changed to')
+            console.print(f"'{self._engine}'")
+
+    @abstractmethod
+    def show_config(self) -> None:
+        """Display the current renderer configuration."""
+        raise NotImplementedError
+
+    def show_supported_engines(self) -> None:
+        """List supported engines with descriptions in a table."""
+        headers = [
+            ('Engine', 'left'),
+            ('Description', 'left'),
+        ]
+        rows = self._factory().descriptions()
+        df = pd.DataFrame(rows, columns=pd.MultiIndex.from_tuples(headers))
+        console.paragraph('Supported engines')
+        # Delegate table rendering to the TableRenderer singleton
+        from easydiffraction.display.tables import TableRenderer  # local import to avoid cycles
+
+        TableRenderer.get().render(df)
+
+    def show_current_engine(self) -> None:
+        """Display the currently selected engine."""
+        console.paragraph('Current engine')
+        console.print(f"'{self._engine}'")
+
+
+class RendererFactoryBase(ABC):
+    """Base factory that manages discovery and creation of backends."""
+
+    @classmethod
+    def create(cls, engine_name: str) -> Any:
+        """Create a backend instance for the given engine.
+
+        Args:
+            engine_name: Identifier of the engine to instantiate as
+                listed in ``_registry()``.
+
+        Returns:
+            A new backend instance corresponding to ``engine_name``.
+
+        Raises:
+            ValueError: If the engine name is not supported.
+        """
+        registry = cls._registry()
+        if engine_name not in registry:
+            supported = list(registry.keys())
+            raise ValueError(f"Unsupported engine '{engine_name}'. Supported engines: {supported}")
+        engine_class = registry[engine_name]['class']
+        return engine_class()
+
+    @classmethod
+    def supported_engines(cls) -> List[str]:
+        """Return a list of supported engine identifiers."""
+        return list(cls._registry().keys())
+
+    @classmethod
+    def descriptions(cls) -> List[Tuple[str, str]]:
+        """Return pairs of engine name and human-friendly
+        description.
+        """
+        items = cls._registry().items()
+        return [(name, config.get('description')) for name, config in items]
+
+    @classmethod
+    @abstractmethod
+    def _registry(cls) -> dict:
+        """Return engine registry. Implementations must provide this.
+
+        The returned mapping should have keys as engine names and values
+        as a config dict with 'description' and 'class'. Lazy imports
+        are allowed to avoid circular dependencies.
+        """
+        raise NotImplementedError
diff --git a/src/easydiffraction/display/plotters/__init__.py b/src/easydiffraction/display/plotters/__init__.py
new file mode 100644
index 00000000..0801e6c8
--- /dev/null
+++ b/src/easydiffraction/display/plotters/__init__.py
@@ -0,0 +1,10 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Plotting backends.
+
+This subpackage implements plotting engines used by the high-level
+plotting facade:
+
+- :mod:`.ascii` for terminal-friendly ASCII plots.
+- :mod:`.plotly` for interactive plots in notebooks or browsers.
+"""
diff --git a/src/easydiffraction/display/plotters/ascii.py b/src/easydiffraction/display/plotters/ascii.py
new file mode 100644
index 00000000..f7772cd2
--- /dev/null
+++ b/src/easydiffraction/display/plotters/ascii.py
@@ -0,0 +1,86 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""ASCII plotting backend.
+
+Renders compact line charts in the terminal using
+``asciichartpy``. This backend is well suited for quick feedback in
+CLI environments and keeps a consistent API with other plotters.
+"""
+
+import asciichartpy
+
+from easydiffraction.display.plotters.base import DEFAULT_HEIGHT
+from easydiffraction.display.plotters.base import SERIES_CONFIG
+from easydiffraction.display.plotters.base import PlotterBase
+from easydiffraction.utils.logging import console
+
+DEFAULT_COLORS = {
+    'meas': asciichartpy.blue,
+    'calc': asciichartpy.red,
+    'resid': asciichartpy.green,
+}
+
+
+class AsciiPlotter(PlotterBase):
+    """Terminal-based plotter using ASCII art."""
+
+    def _get_legend_item(self, label):
+        """Return a colored legend entry for a given series label.
+
+        The legend uses a colored line matching the series color and
+        the human-readable name from :data:`SERIES_CONFIG`.
+
+        Args:
+            label: Series identifier (e.g., ``'meas'``).
+
+        Returns:
+            A formatted legend string with color escapes.
+        """
+        color_start = DEFAULT_COLORS[label]
+        color_end = asciichartpy.reset
+        line = '────'
+        name = SERIES_CONFIG[label]['name']
+        item = f'{color_start}{line}{color_end} {name}'
+        return item
+
+    def plot(
+        self,
+        x,
+        y_series,
+        labels,
+        axes_labels,
+        title,
+        height=None,
+    ):
+        """Render a compact ASCII chart in the terminal.
+
+        Args:
+            x: 1D array-like of x values (only used for range
+                display).
+            y_series: Sequence of y arrays to plot.
+            labels: Series identifiers corresponding to y_series.
+            axes_labels: Ignored; kept for API compatibility.
+            title: Figure title printed above the chart.
+            height: Number of text rows to allocate for the chart.
+        """
+        # Intentionally unused; kept for a consistent display API
+        del axes_labels
+        legend = '\n'.join([self._get_legend_item(label) for label in labels])
+
+        if height is None:
+            height = DEFAULT_HEIGHT
+        colors = [DEFAULT_COLORS[label] for label in labels]
+        config = {'height': height, 'colors': colors}
+        y_series = [y.tolist() for y in y_series]
+
+        chart = asciichartpy.plot(y_series, config)
+
+        console.paragraph(f'{title}')  # TODO: f''?
+        console.print(
+            f'Displaying data for selected x-range from {x[0]} to {x[-1]} ({len(x)} points)'
+        )
+        console.print(f'Legend:\n{legend}')
+
+        padded = '\n'.join(' ' + line for line in chart.splitlines())
+
+        print(padded)
diff --git a/src/easydiffraction/plotting/plotters/plotter_base.py b/src/easydiffraction/display/plotters/base.py
similarity index 64%
rename from src/easydiffraction/plotting/plotters/plotter_base.py
rename to src/easydiffraction/display/plotters/base.py
index 98d02d39..04ee689d 100644
--- a/src/easydiffraction/plotting/plotters/plotter_base.py
+++ b/src/easydiffraction/display/plotters/base.py
@@ -1,16 +1,15 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
+"""Abstract base and shared constants for plotting backends."""
 
 from abc import ABC
 from abc import abstractmethod
 
 import numpy as np
 
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import ScatteringTypeEnum
-from easydiffraction.utils.utils import is_notebook
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
 
-DEFAULT_ENGINE = 'plotly' if is_notebook() else 'asciichartpy'
 DEFAULT_HEIGHT = 9
 DEFAULT_MIN = -np.inf
 DEFAULT_MAX = np.inf
@@ -55,6 +54,12 @@
 
 
 class PlotterBase(ABC):
+    """Abstract base for plotting backends.
+
+    Implementations accept x values, multiple y-series, optional labels
+    and render a plot to the chosen medium.
+    """
+
     @abstractmethod
     def plot(
         self,
@@ -65,4 +70,14 @@ def plot(
         title,
         height,
     ):
+        """Render a plot.
+
+        Args:
+            x: 1D array of x-axis values.
+            y_series: Sequence of y arrays to plot.
+            labels: Identifiers corresponding to y_series.
+            axes_labels: Pair of strings for the x and y titles.
+            title: Figure title.
+            height: Backend-specific height (text rows or pixels).
+        """
         pass
diff --git a/src/easydiffraction/plotting/plotters/plotter_plotly.py b/src/easydiffraction/display/plotters/plotly.py
similarity index 66%
rename from src/easydiffraction/plotting/plotters/plotter_plotly.py
rename to src/easydiffraction/display/plotters/plotly.py
index 6e7d95fc..c62221ea 100644
--- a/src/easydiffraction/plotting/plotters/plotter_plotly.py
+++ b/src/easydiffraction/display/plotters/plotly.py
@@ -1,5 +1,11 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
+"""Plotly plotting backend.
+
+Provides an interactive plotting implementation using Plotly. In
+notebooks, figures are displayed inline; in other environments a browser
+renderer may be used depending on configuration.
+"""
 
 import darkdetect
 import plotly.graph_objects as go
@@ -12,9 +18,9 @@
     display = None
     HTML = None
 
-from easydiffraction.plotting.plotters.plotter_base import SERIES_CONFIG
-from easydiffraction.plotting.plotters.plotter_base import PlotterBase
-from easydiffraction.utils.utils import is_pycharm
+from easydiffraction.display.plotters.base import SERIES_CONFIG
+from easydiffraction.display.plotters.base import PlotterBase
+from easydiffraction.utils.environment import in_pycharm
 
 DEFAULT_COLORS = {
     'meas': 'rgb(31, 119, 180)',
@@ -24,9 +30,24 @@
 
 
 class PlotlyPlotter(PlotterBase):
+    """Interactive plotter using Plotly for notebooks and browsers."""
+
     pio.templates.default = 'plotly_dark' if darkdetect.isDark() else 'plotly_white'
+    if in_pycharm():
+        pio.renderers.default = 'browser'
 
     def _get_trace(self, x, y, label):
+        """Create a Plotly trace for a single data series.
+
+        Args:
+            x: 1D array-like of x-axis values.
+            y: 1D array-like of y-axis values.
+            label: Series identifier (``'meas'``, ``'calc'``, or
+                ``'resid'``).
+
+        Returns:
+            A configured :class:`plotly.graph_objects.Scatter` trace.
+        """
         mode = SERIES_CONFIG[label]['mode']
         name = SERIES_CONFIG[label]['name']
         color = DEFAULT_COLORS[label]
@@ -51,6 +72,16 @@ def plot(
         title,
         height=None,
     ):
+        """Render an interactive Plotly figure.
+
+        Args:
+            x: 1D array-like of x-axis values.
+            y_series: Sequence of y arrays to plot.
+            labels: Series identifiers corresponding to y_series.
+            axes_labels: Pair of strings for the x and y titles.
+            title: Figure title.
+            height: Ignored; Plotly auto-sizes based on renderer.
+        """
         # Intentionally unused; accepted for API compatibility
         del height
         data = []
@@ -105,15 +136,14 @@ def plot(
             layout=layout,
         )
 
-        # Format the axes ticks
-        # Keeps decimals for small numbers;
-        # groups thousands for large ones
+        # Format the axes ticks.
+        # Keeps decimals for small numbers; groups thousands for large
+        # ones
         fig.update_xaxes(tickformat=',.6~g', separatethousands=True)
         fig.update_yaxes(tickformat=',.6~g', separatethousands=True)
 
         # Show the figure
-
-        if is_pycharm() or display is None or HTML is None:
+        if in_pycharm() or display is None or HTML is None:
             fig.show(config=config)
         else:
             html_fig = pio.to_html(
diff --git a/src/easydiffraction/display/plotting.py b/src/easydiffraction/display/plotting.py
new file mode 100644
index 00000000..63695169
--- /dev/null
+++ b/src/easydiffraction/display/plotting.py
@@ -0,0 +1,440 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Plotting facade for measured and calculated patterns.
+
+Uses the common :class:`RendererBase` so plotters and tablers share a
+consistent configuration surface and engine handling.
+"""
+
+from enum import Enum
+
+import numpy as np
+import pandas as pd
+
+from easydiffraction.display.base import RendererBase
+from easydiffraction.display.base import RendererFactoryBase
+from easydiffraction.display.plotters.ascii import AsciiPlotter
+from easydiffraction.display.plotters.base import DEFAULT_AXES_LABELS
+from easydiffraction.display.plotters.base import DEFAULT_HEIGHT
+from easydiffraction.display.plotters.base import DEFAULT_MAX
+from easydiffraction.display.plotters.base import DEFAULT_MIN
+from easydiffraction.display.plotters.plotly import PlotlyPlotter
+from easydiffraction.display.tables import TableRenderer
+from easydiffraction.utils.environment import in_jupyter
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+
+
+class PlotterEngineEnum(str, Enum):
+    ASCII = 'asciichartpy'
+    PLOTLY = 'plotly'
+
+    @classmethod
+    def default(cls) -> 'PlotterEngineEnum':
+        """Select default engine based on environment."""
+        if in_jupyter():
+            log.debug('Setting default plotting engine to Plotly for Jupyter')
+            return cls.PLOTLY
+        log.debug('Setting default plotting engine to Asciichartpy for console')
+        return cls.ASCII
+
+    def description(self) -> str:
+        """Human-readable description for UI listings."""
+        if self is PlotterEngineEnum.ASCII:
+            return 'Console ASCII line charts'
+        elif self is PlotterEngineEnum.PLOTLY:
+            return 'Interactive browser-based graphing library'
+        return ''
+
+
+class Plotter(RendererBase):
+    """User-facing plotting facade backed by concrete plotters."""
+
+    def __init__(self):
+        super().__init__()
+        # X-axis limits
+        self._x_min = DEFAULT_MIN
+        self._x_max = DEFAULT_MAX
+        # Chart height
+        self.height = DEFAULT_HEIGHT
+
+    @classmethod
+    def _factory(cls) -> type[RendererFactoryBase]:  # type: ignore[override]
+        return PlotterFactory
+
+    @classmethod
+    def _default_engine(cls) -> str:
+        return PlotterEngineEnum.default().value
+
+    def show_config(self):
+        """Display the current plotting configuration."""
+        headers = [
+            ('Parameter', 'left'),
+            ('Value', 'left'),
+        ]
+        rows = [
+            ['Plotting engine', self.engine],
+            ['x-axis limits', f'[{self.x_min}, {self.x_max}]'],
+            ['Chart height', self.height],
+        ]
+        df = pd.DataFrame(rows, columns=pd.MultiIndex.from_tuples(headers))
+        console.paragraph('Current plotter configuration')
+        TableRenderer.get().render(df)
+
+    @property
+    def x_min(self):
+        """Minimum x-axis limit."""
+        return self._x_min
+
+    @x_min.setter
+    def x_min(self, value):
+        """Set the minimum x-axis limit.
+
+        Args:
+            value: Minimum limit or ``None`` to reset to default.
+        """
+        if value is not None:
+            self._x_min = value
+        else:
+            self._x_min = DEFAULT_MIN
+
+    @property
+    def x_max(self):
+        """Maximum x-axis limit."""
+        return self._x_max
+
+    @x_max.setter
+    def x_max(self, value):
+        """Set the maximum x-axis limit.
+
+        Args:
+            value: Maximum limit or ``None`` to reset to default.
+        """
+        if value is not None:
+            self._x_max = value
+        else:
+            self._x_max = DEFAULT_MAX
+
+    @property
+    def height(self):
+        """Plot height (rows for ASCII, pixels for Plotly)."""
+        return self._height
+
+    @height.setter
+    def height(self, value):
+        """Set plot height.
+
+        Args:
+            value: Height value or ``None`` to reset to default.
+        """
+        if value is not None:
+            self._height = value
+        else:
+            self._height = DEFAULT_HEIGHT
+
+    def plot_meas(
+        self,
+        pattern,
+        expt_name,
+        expt_type,
+        x_min=None,
+        x_max=None,
+        d_spacing=False,
+    ):
+        """Plot measured pattern using the current engine.
+
+        Args:
+            pattern: Object with ``x`` and ``meas`` arrays (and
+                ``d`` when ``d_spacing`` is true).
+            expt_name: Experiment name for the title.
+            expt_type: Experiment type with scattering/beam enums.
+            x_min: Optional minimum x-axis limit.
+            x_max: Optional maximum x-axis limit.
+            d_spacing: If ``True``, plot against d-spacing values.
+        """
+        if pattern.x is None:
+            log.error(f'No data available for experiment {expt_name}')
+            return
+        if pattern.meas is None:
+            log.error(f'No measured data available for experiment {expt_name}')
+            return
+
+        # Select x-axis data based on d-spacing or original x values
+        x_array = pattern.d if d_spacing else pattern.x
+
+        # For asciichartpy, if x_min or x_max is not provided, center
+        # around the maximum intensity peak
+        if self._engine == 'asciichartpy' and (x_min is None or x_max is None):
+            max_intensity_pos = np.argmax(pattern.meas)
+            half_range = 50
+            start = max(0, max_intensity_pos - half_range)
+            end = min(len(x_array) - 1, max_intensity_pos + half_range)
+            x_min = x_array[start]
+            x_max = x_array[end]
+
+        # Filter x, y_meas, and y_calc based on x_min and x_max
+        x = self._filtered_y_array(
+            y_array=x_array,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+        y_meas = self._filtered_y_array(
+            y_array=pattern.meas,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+
+        y_series = [y_meas]
+        y_labels = ['meas']
+
+        if d_spacing:
+            axes_labels = DEFAULT_AXES_LABELS[
+                (
+                    expt_type.scattering_type.value,
+                    'd-spacing',
+                )
+            ]
+        else:
+            axes_labels = DEFAULT_AXES_LABELS[
+                (
+                    expt_type.scattering_type.value,
+                    expt_type.beam_mode.value,
+                )
+            ]
+
+        # TODO: Before, it was self._plotter.plot. Check what is better.
+        self._backend.plot(
+            x=x,
+            y_series=y_series,
+            labels=y_labels,
+            axes_labels=axes_labels,
+            title=f"Measured data for experiment 🔬 '{expt_name}'",
+            height=self.height,
+        )
+
+    def plot_calc(
+        self,
+        pattern,
+        expt_name,
+        expt_type,
+        x_min=None,
+        x_max=None,
+        d_spacing=False,
+    ):
+        """Plot calculated pattern using the current engine.
+
+        Args:
+            pattern: Object with ``x`` and ``calc`` arrays (and
+                ``d`` when ``d_spacing`` is true).
+            expt_name: Experiment name for the title.
+            expt_type: Experiment type with scattering/beam enums.
+            x_min: Optional minimum x-axis limit.
+            x_max: Optional maximum x-axis limit.
+            d_spacing: If ``True``, plot against d-spacing values.
+        """
+        if pattern.x is None:
+            log.error(f'No data available for experiment {expt_name}')
+            return
+        if pattern.calc is None:
+            log.error(f'No calculated data available for experiment {expt_name}')
+            return
+
+        # Select x-axis data based on d-spacing or original x values
+        x_array = pattern.d if d_spacing else pattern.x
+
+        # For asciichartpy, if x_min or x_max is not provided, center
+        # around the maximum intensity peak
+        if self._engine == 'asciichartpy' and (x_min is None or x_max is None):
+            max_intensity_pos = np.argmax(pattern.meas)
+            half_range = 50
+            start = max(0, max_intensity_pos - half_range)
+            end = min(len(x_array) - 1, max_intensity_pos + half_range)
+            x_min = x_array[start]
+            x_max = x_array[end]
+
+        # Filter x, y_meas, and y_calc based on x_min and x_max
+        x = self._filtered_y_array(
+            y_array=x_array,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+        y_calc = self._filtered_y_array(
+            y_array=pattern.calc,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+
+        y_series = [y_calc]
+        y_labels = ['calc']
+
+        if d_spacing:
+            axes_labels = DEFAULT_AXES_LABELS[
+                (
+                    expt_type.scattering_type.value,
+                    'd-spacing',
+                )
+            ]
+        else:
+            axes_labels = DEFAULT_AXES_LABELS[
+                (
+                    expt_type.scattering_type.value,
+                    expt_type.beam_mode.value,
+                )
+            ]
+
+        self._backend.plot(
+            x=x,
+            y_series=y_series,
+            labels=y_labels,
+            axes_labels=axes_labels,
+            title=f"Calculated data for experiment 🔬 '{expt_name}'",
+            height=self.height,
+        )
+
+    def plot_meas_vs_calc(
+        self,
+        pattern,
+        expt_name,
+        expt_type,
+        x_min=None,
+        x_max=None,
+        show_residual=False,
+        d_spacing=False,
+    ):
+        """Plot measured and calculated series and optional residual.
+
+        Args:
+            pattern: Object with ``x``, ``meas`` and ``calc`` arrays
+                (and ``d`` when ``d_spacing`` is true).
+            expt_name: Experiment name for the title.
+            expt_type: Experiment type with scattering/beam enums.
+            x_min: Optional minimum x-axis limit.
+            x_max: Optional maximum x-axis limit.
+            show_residual: If ``True``, add residual series.
+            d_spacing: If ``True``, plot against d-spacing values.
+        """
+        if pattern.x is None:
+            log.error(f'No data available for experiment {expt_name}')
+            return
+        if pattern.meas is None:
+            log.error(f'No measured data available for experiment {expt_name}')
+            return
+        if pattern.calc is None:
+            log.error(f'No calculated data available for experiment {expt_name}')
+            return
+
+        # Select x-axis data based on d-spacing or original x values
+        x_array = pattern.d if d_spacing else pattern.x
+
+        # For asciichartpy, if x_min or x_max is not provided, center
+        # around the maximum intensity peak
+        if self._engine == 'asciichartpy' and (x_min is None or x_max is None):
+            max_intensity_pos = np.argmax(pattern.meas)
+            half_range = 50
+            start = max(0, max_intensity_pos - half_range)
+            end = min(len(x_array) - 1, max_intensity_pos + half_range)
+            x_min = x_array[start]
+            x_max = x_array[end]
+
+        # Filter x, y_meas, and y_calc based on x_min and x_max
+        x = self._filtered_y_array(
+            y_array=x_array,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+        y_meas = self._filtered_y_array(
+            y_array=pattern.meas,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+        y_calc = self._filtered_y_array(
+            y_array=pattern.calc,
+            x_array=x_array,
+            x_min=x_min,
+            x_max=x_max,
+        )
+
+        y_series = [y_meas, y_calc]
+        y_labels = ['meas', 'calc']
+
+        if d_spacing:
+            axes_labels = DEFAULT_AXES_LABELS[
+                (
+                    expt_type.scattering_type.value,
+                    'd-spacing',
+                )
+            ]
+        else:
+            axes_labels = DEFAULT_AXES_LABELS[
+                (
+                    expt_type.scattering_type.value,
+                    expt_type.beam_mode.value,
+                )
+            ]
+
+        if show_residual:
+            y_resid = y_meas - y_calc
+            y_series.append(y_resid)
+            y_labels.append('resid')
+
+        self._backend.plot(
+            x=x,
+            y_series=y_series,
+            labels=y_labels,
+            axes_labels=axes_labels,
+            title=f"Measured vs Calculated data for experiment 🔬 '{expt_name}'",
+            height=self.height,
+        )
+
+    def _filtered_y_array(
+        self,
+        y_array,
+        x_array,
+        x_min,
+        x_max,
+    ):
+        """Filter an array by the inclusive x-range limits.
+
+        Args:
+            y_array: 1D array-like of y values.
+            x_array: 1D array-like of x values (same length as
+                ``y_array``).
+            x_min: Minimum x limit (or ``None`` to use default).
+            x_max: Maximum x limit (or ``None`` to use default).
+
+        Returns:
+            Filtered ``y_array`` values where ``x_array`` lies within
+            ``[x_min, x_max]``.
+        """
+        if x_min is None:
+            x_min = self.x_min
+        if x_max is None:
+            x_max = self.x_max
+
+        mask = (x_array >= x_min) & (x_array <= x_max)
+        filtered_y_array = y_array[mask]
+
+        return filtered_y_array
+
+
+class PlotterFactory(RendererFactoryBase):
+    """Factory for plotter implementations."""
+
+    @classmethod
+    def _registry(cls) -> dict:
+        return {
+            PlotterEngineEnum.ASCII.value: {
+                'description': PlotterEngineEnum.ASCII.description(),
+                'class': AsciiPlotter,
+            },
+            PlotterEngineEnum.PLOTLY.value: {
+                'description': PlotterEngineEnum.PLOTLY.description(),
+                'class': PlotlyPlotter,
+            },
+        }
diff --git a/src/easydiffraction/display/tablers/__init__.py b/src/easydiffraction/display/tablers/__init__.py
new file mode 100644
index 00000000..75e19872
--- /dev/null
+++ b/src/easydiffraction/display/tablers/__init__.py
@@ -0,0 +1,10 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Tabular rendering backends.
+
+This subpackage provides concrete implementations for rendering
+tables in different environments:
+
+- :mod:`.rich` for terminal and notebooks using the Rich library.
+- :mod:`.pandas` for notebooks using DataFrame Styler.
+"""
diff --git a/src/easydiffraction/display/tablers/base.py b/src/easydiffraction/display/tablers/base.py
new file mode 100644
index 00000000..55233309
--- /dev/null
+++ b/src/easydiffraction/display/tablers/base.py
@@ -0,0 +1,109 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Low-level backends for rendering tables.
+
+This module defines the abstract base for tabular renderers and small
+helpers for consistent styling across terminal and notebook outputs.
+"""
+
+from __future__ import annotations
+
+from abc import ABC
+from abc import abstractmethod
+from typing import Any
+
+from IPython import get_ipython
+from jupyter_dark_detect import is_dark
+from rich.color import Color
+
+
+class TableBackendBase(ABC):
+    """Abstract base class for concrete table backends.
+
+    Subclasses implement the ``render`` method which receives an
+    index-aware pandas DataFrame and the alignment for each column
+    header.
+    """
+
+    FLOAT_PRECISION = 5
+    RICH_BORDER_DARK_THEME = 'grey35'
+    RICH_BORDER_LIGHT_THEME = 'grey85'
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._float_fmt = f'{{:.{self.FLOAT_PRECISION}f}}'.format
+
+    def _format_value(self, value: Any) -> Any:
+        """Format floats with fixed precision and others as strings.
+
+        Args:
+            value: Cell value to format.
+
+        Returns:
+            A string representation with fixed precision for floats or
+            ``str(value)`` for other types.
+        """
+        return self._float_fmt(value) if isinstance(value, float) else str(value)
+
+    def _is_dark_theme(self) -> bool:
+        """Return True when a dark theme is detected in Jupyter.
+
+        If not running inside Jupyter, return a sane default (True).
+        """
+        default = True
+
+        in_jupyter = (
+            get_ipython() is not None and get_ipython().__class__.__name__ == 'ZMQInteractiveShell'
+        )
+
+        if not in_jupyter:
+            return default
+
+        return is_dark()
+
+    def _rich_to_hex(self, color):
+        """Convert a Rich color name to a CSS-style hex string.
+
+        Args:
+            color: Rich color name or specification parsable by
+                :mod:`rich`.
+
+        Returns:
+            Hex color string in the form ``#RRGGBB``.
+        """
+        c = Color.parse(color)
+        rgb = c.get_truecolor()
+        hex_value = '#{:02x}{:02x}{:02x}'.format(*rgb)
+        return hex_value
+
+    @property
+    def _rich_border_color(self) -> str:
+        return (
+            self.RICH_BORDER_DARK_THEME if self._is_dark_theme() else self.RICH_BORDER_LIGHT_THEME
+        )
+
+    @property
+    def _pandas_border_color(self) -> str:
+        return self._rich_to_hex(self._rich_border_color)
+
+    @abstractmethod
+    def render(
+        self,
+        alignments,
+        df,
+        display_handle: Any | None = None,
+    ) -> Any:
+        """Render the provided DataFrame with backend-specific styling.
+
+        Args:
+            alignments: Iterable of column justifications (e.g.,
+                ``'left'`` or ``'center'``) corresponding to the data
+                columns.
+            df: Index-aware DataFrame with data to render.
+            display_handle: Optional environment-specific handle to
+                enable in-place updates.
+
+        Returns:
+            Backend-defined return value (commonly ``None``).
+        """
+        pass
diff --git a/src/easydiffraction/display/tablers/pandas.py b/src/easydiffraction/display/tablers/pandas.py
new file mode 100644
index 00000000..a1883355
--- /dev/null
+++ b/src/easydiffraction/display/tablers/pandas.py
@@ -0,0 +1,169 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Pandas-based table renderer for notebooks using DataFrame Styler."""
+
+from __future__ import annotations
+
+from typing import Any
+
+try:
+    from IPython.display import HTML
+    from IPython.display import display
+except Exception:
+    HTML = None
+    display = None
+
+from easydiffraction.display.tablers.base import TableBackendBase
+from easydiffraction.utils.environment import can_use_ipython_display
+from easydiffraction.utils.logging import log
+
+
+class PandasTableBackend(TableBackendBase):
+    """Render tables using the pandas Styler in Jupyter environments."""
+
+    def _build_base_styles(self, color: str) -> list[dict]:
+        """Return base CSS table styles for a given border color.
+
+        Args:
+            color: CSS color value (e.g., ``#RRGGBB``) to use for
+                borders and header accents.
+
+        Returns:
+            A list of ``Styler.set_table_styles`` dictionaries.
+        """
+        return [
+            # Margins and outer border on the entire table
+            {
+                'selector': ' ',
+                'props': [
+                    ('border', f'1px solid {color}'),
+                    ('border-collapse', 'collapse'),
+                    ('margin-top', '0.5em'),
+                    ('margin-left', '0.5em'),
+                ],
+            },
+            # Horizontal border under header row
+            {
+                'selector': 'thead',
+                'props': [
+                    ('border-bottom', f'1px solid {color}'),
+                ],
+            },
+            # Cell border, padding and line height
+            {
+                'selector': 'th, td',
+                'props': [
+                    ('border', 'none'),
+                    ('padding-top', '0.25em'),
+                    ('padding-bottom', '0.25em'),
+                    ('line-height', '1.15em'),
+                ],
+            },
+            # Style for index column
+            {
+                'selector': 'th.row_heading',
+                'props': [
+                    ('color', color),
+                    ('font-weight', 'normal'),
+                ],
+            },
+            # Remove zebra-row background
+            {
+                'selector': 'tbody tr:nth-child(odd), tbody tr:nth-child(even)',
+                'props': [
+                    ('background-color', 'transparent'),
+                ],
+            },
+        ]
+
+    def _build_header_alignment_styles(self, df, alignments) -> list[dict]:
+        """Generate header cell alignment styles per column.
+
+        Args:
+            df: DataFrame whose columns are being rendered.
+            alignments: Iterable of text alignment values (e.g.,
+                ``'left'``, ``'center'``) matching ``df`` columns.
+
+        Returns:
+            A list of CSS rules for header cell alignment.
+        """
+        return [
+            {
+                'selector': f'th.col{df.columns.get_loc(column)}',
+                'props': [('text-align', align)],
+            }
+            for column, align in zip(df.columns, alignments, strict=False)
+        ]
+
+    def _apply_styling(self, df, alignments, color: str):
+        """Build a configured Styler with alignments and base styles.
+
+        Args:
+            df: DataFrame to style.
+            alignments: Iterable of text alignment values for columns.
+            color: CSS color value used for borders/header.
+
+        Returns:
+            A configured pandas Styler ready for display.
+        """
+        table_styles = self._build_base_styles(color)
+        header_alignment_styles = self._build_header_alignment_styles(df, alignments)
+
+        styler = df.style.format(precision=self.FLOAT_PRECISION)
+        styler = styler.set_table_attributes('class="dataframe"')  # For mkdocs-jupyter
+        styler = styler.set_table_styles(table_styles + header_alignment_styles)
+
+        for column, align in zip(df.columns, alignments, strict=False):
+            styler = styler.set_properties(
+                subset=[column],
+                **{'text-align': align},
+            )
+        return styler
+
+    def _update_display(self, styler, display_handle) -> None:
+        """Single, consistent update path for Jupyter.
+
+        If a handle with ``update()`` is provided and it's a
+        DisplayHandle, update the output area in-place using HTML.
+        Otherwise, display once via IPython ``display()``.
+
+        Args:
+            styler: Configured DataFrame Styler to be rendered.
+            display_handle: Optional IPython DisplayHandle used for
+                in-place updates.
+        """
+        # Handle with update() method
+        if display_handle is not None and hasattr(display_handle, 'update'):
+            # IPython DisplayHandle path
+            if can_use_ipython_display(display_handle) and HTML is not None:
+                try:
+                    html = styler.to_html()
+                    display_handle.update(HTML(html))
+                    return
+                except Exception as err:
+                    log.debug(f'Pandas DisplayHandle update failed: {err!r}')
+
+            # This should not happen in Pandas backend
+            else:
+                pass
+
+        # Normal display
+        display(styler)
+
+    def render(
+        self,
+        alignments,
+        df,
+        display_handle: Any | None = None,
+    ) -> Any:
+        """Render a styled DataFrame.
+
+        Args:
+            alignments: Iterable of column justifications (e.g. 'left').
+            df: DataFrame whose index is displayed as the first column.
+            display_handle: Optional IPython DisplayHandle to update an
+                existing output area in place when running in Jupyter.
+        """
+        color = self._pandas_border_color
+        styler = self._apply_styling(df, alignments, color)
+        self._update_display(styler, display_handle)
diff --git a/src/easydiffraction/display/tablers/rich.py b/src/easydiffraction/display/tablers/rich.py
new file mode 100644
index 00000000..e5f18776
--- /dev/null
+++ b/src/easydiffraction/display/tablers/rich.py
@@ -0,0 +1,153 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Rich-based table renderer for terminals and notebooks."""
+
+from __future__ import annotations
+
+import io
+from typing import Any
+
+from rich.box import Box
+from rich.console import Console
+from rich.table import Table
+
+try:
+    from IPython.display import HTML
+    from IPython.display import display
+except Exception:
+    HTML = None
+    display = None
+
+from easydiffraction.display.tablers.base import TableBackendBase
+from easydiffraction.utils.environment import can_use_ipython_display
+from easydiffraction.utils.logging import ConsoleManager
+from easydiffraction.utils.logging import log
+
+"""Custom compact box style used for consistent borders."""
+CUSTOM_BOX = """\
+┌──┐
+│  │
+├──┤
+│  │
+├──┤
+├──┤
+│  │
+└──┘
+"""
+RICH_TABLE_BOX: Box = Box(CUSTOM_BOX, ascii=False)
+
+
+class RichTableBackend(TableBackendBase):
+    """Render tables to terminal or Jupyter using the Rich library."""
+
+    def _to_html(self, table: Table) -> str:
+        """Render a Rich table to HTML using an off-screen console.
+
+        A fresh ``Console(record=True, file=StringIO())`` avoids
+        private attribute access and guarantees no visible output
+        in notebooks.
+
+        Args:
+            table: Rich :class:`~rich.table.Table` to export.
+
+        Returns:
+            HTML string with inline styles for notebook display.
+        """
+        tmp = Console(force_jupyter=False, record=True, file=io.StringIO())
+        tmp.print(table)
+        html = tmp.export_html(inline_styles=True)
+        # Remove margins inside pre blocks and adjust font size
+        html = html.replace(
+            '<pre ',
+            "<pre style='margin:0; font-size: 0.9em !important; ' ",
+        )
+        return html
+
+    def _build_table(self, df, alignments, color: str) -> Table:
+        """Construct a Rich Table with formatted data and alignment.
+
+        Args:
+            df: DataFrame-like object providing rows to render.
+            alignments: Iterable of text alignment values for columns.
+            color: Rich color name used for borders/index style.
+
+        Returns:
+            A :class:`~rich.table.Table` configured for display.
+        """
+        table = Table(
+            title=None,
+            box=RICH_TABLE_BOX,
+            show_header=True,
+            header_style='bold',
+            border_style=color,
+        )
+
+        # Index column
+        table.add_column(justify='right', style=color)
+
+        # Data columns
+        for col, align in zip(df, alignments, strict=False):
+            table.add_column(str(col), justify=align, no_wrap=False)
+
+        # Rows
+        for idx, row_values in df.iterrows():
+            formatted_row = [self._format_value(v) for v in row_values]
+            table.add_row(str(idx), *formatted_row)
+
+        return table
+
+    def _update_display(self, table: Table, display_handle) -> None:
+        """Single, consistent update path for Jupyter and terminal.
+
+        - With a handle that has ``update()``:
+          * If it's an IPython DisplayHandle, export to HTML and
+            update.
+          * Otherwise, treat it as a terminal/live-like handle and
+            update with the Rich renderable.
+        - Without a handle, print once to the shared console.
+
+        Args:
+            table: Rich :class:`~rich.table.Table` to display.
+            display_handle: Optional environment-specific handle for
+                in-place updates (IPython or terminal live).
+        """
+        # Handle with update() method
+        if display_handle is not None and hasattr(display_handle, 'update'):
+            # IPython DisplayHandle path
+            if can_use_ipython_display(display_handle) and HTML is not None:
+                try:
+                    html = self._to_html(table)
+                    display_handle.update(HTML(html))
+                    return
+                except Exception as err:
+                    log.debug(f'Rich to HTML DisplayHandle update failed: {err!r}')
+
+            # Assume terminal/live-like handle
+            else:
+                try:
+                    display_handle.update(table)
+                    return
+                except Exception as err:
+                    log.debug(f'Rich live handle update failed: {err!r}')
+
+        # Normal print to console
+        console = ConsoleManager.get()
+        console.print(table)
+
+    def render(
+        self,
+        alignments,
+        df,
+        display_handle=None,
+    ) -> Any:
+        """Render a styled table using Rich.
+
+        Args:
+            alignments: Iterable of text-align values for columns.
+            df: Index-aware DataFrame to render.
+            display_handle: Optional environment handle for in-place
+                updates.
+        """
+        color = self._rich_border_color
+        table = self._build_table(df, alignments, color)
+        self._update_display(table, display_handle)
diff --git a/src/easydiffraction/display/tables.py b/src/easydiffraction/display/tables.py
new file mode 100644
index 00000000..a079e30f
--- /dev/null
+++ b/src/easydiffraction/display/tables.py
@@ -0,0 +1,118 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Table rendering engines: console (Rich) and Jupyter (pandas)."""
+
+from __future__ import annotations
+
+from enum import Enum
+from typing import Any
+
+import pandas as pd
+
+from easydiffraction.display.base import RendererBase
+from easydiffraction.display.base import RendererFactoryBase
+from easydiffraction.display.tablers.pandas import PandasTableBackend
+from easydiffraction.display.tablers.rich import RichTableBackend
+from easydiffraction.utils.environment import in_jupyter
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+
+
+class TableEngineEnum(str, Enum):
+    RICH = 'rich'
+    PANDAS = 'pandas'
+
+    @classmethod
+    def default(cls) -> 'TableEngineEnum':
+        """Select default engine based on environment.
+
+        Returns Pandas when running in Jupyter, otherwise Rich.
+        """
+        if in_jupyter():
+            log.debug('Setting default table engine to Pandas for Jupyter')
+            return cls.PANDAS
+        log.debug('Setting default table engine to Rich for console')
+        return cls.RICH
+
+    def description(self) -> str:
+        if self is TableEngineEnum.RICH:
+            return 'Console rendering with Rich'
+        elif self is TableEngineEnum.PANDAS:
+            return 'Jupyter DataFrame rendering with Pandas'
+        return ''
+
+
+class TableRenderer(RendererBase):
+    """Renderer for tabular data with selectable engines (singleton)."""
+
+    @classmethod
+    def _factory(cls) -> RendererFactoryBase:
+        return TableRendererFactory
+
+    @classmethod
+    def _default_engine(cls) -> str:
+        """Default engine derived from TableEngineEnum."""
+        return TableEngineEnum.default().value
+
+    def show_config(self) -> None:
+        """Display minimal configuration for this renderer."""
+        headers = [
+            ('Parameter', 'left'),
+            ('Value', 'left'),
+        ]
+        rows = [['engine', self._engine]]
+        df = pd.DataFrame(rows, columns=pd.MultiIndex.from_tuples(headers))
+        console.paragraph('Current tabler configuration')
+        TableRenderer.get().render(df)
+
+    def render(self, df, display_handle: Any | None = None) -> Any:
+        """Render a DataFrame as a table using the active backend.
+
+        Args:
+            df: DataFrame with a two-level column index where the
+                second level provides per-column alignment.
+            display_handle: Optional environment-specific handle used
+                to update an existing output area in-place (e.g., an
+                IPython DisplayHandle or a terminal live handle).
+
+        Returns:
+            Backend-specific return value (usually ``None``).
+        """
+        # Work on a copy to avoid mutating the original DataFrame
+        df = df.copy()
+
+        # Force starting index from 1
+        df.index += 1
+
+        # Extract column alignments
+        alignments = df.columns.get_level_values(1)
+
+        # Remove alignments from df (Keep only the first index level)
+        df.columns = df.columns.get_level_values(0)
+
+        return self._backend.render(alignments, df, display_handle)
+
+
+class TableRendererFactory(RendererFactoryBase):
+    """Factory for creating tabler instances."""
+
+    @classmethod
+    def _registry(cls) -> dict:
+        """Build registry, adapting available engines to the
+        environment.
+
+        - In Jupyter: expose both 'rich' and 'pandas'.
+        - In terminal: expose only 'rich' (pandas is notebook-only).
+        """
+        base = {
+            TableEngineEnum.RICH.value: {
+                'description': TableEngineEnum.RICH.description(),
+                'class': RichTableBackend,
+            }
+        }
+        if in_jupyter():
+            base[TableEngineEnum.PANDAS.value] = {
+                'description': TableEngineEnum.PANDAS.description(),
+                'class': PandasTableBackend,
+            }
+        return base
diff --git a/src/easydiffraction/display/utils.py b/src/easydiffraction/display/utils.py
new file mode 100644
index 00000000..548fb68f
--- /dev/null
+++ b/src/easydiffraction/display/utils.py
@@ -0,0 +1,48 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import ClassVar
+
+from easydiffraction.utils.environment import in_jupyter
+from easydiffraction.utils.logging import log
+
+# Optional import – safe even if IPython is not installed
+try:
+    from IPython.display import HTML
+    from IPython.display import display
+except Exception:
+    display = None
+    HTML = None
+
+
+class JupyterScrollManager:
+    """Ensures that Jupyter output cells are not scrollable (applied
+    once).
+    """
+
+    _applied: ClassVar[bool] = False
+
+    @classmethod
+    def disable_jupyter_scroll(cls) -> None:
+        """Inject CSS to prevent output cells from being scrollable."""
+        if cls._applied or not in_jupyter() or display is None or HTML is None:
+            return
+
+        css = """
+        <style>
+        /* Disable scrolling (already present) */
+        .jp-OutputArea,
+        .jp-OutputArea-child,
+        .jp-OutputArea-scrollable,
+        .output_scroll {
+            max-height: none !important;
+            overflow-y: visible !important;
+        }
+        """
+        try:
+            display(HTML(css))
+            cls._applied = True
+        except Exception:
+            log.debug('Failed to inject Jupyter CSS to disable scrolling.')
diff --git a/src/easydiffraction/experiments/collections/__init__.py b/src/easydiffraction/experiments/categories/__init__.py
similarity index 100%
rename from src/easydiffraction/experiments/collections/__init__.py
rename to src/easydiffraction/experiments/categories/__init__.py
diff --git a/src/easydiffraction/experiments/components/__init__.py b/src/easydiffraction/experiments/categories/background/__init__.py
similarity index 100%
rename from src/easydiffraction/experiments/components/__init__.py
rename to src/easydiffraction/experiments/categories/background/__init__.py
diff --git a/src/easydiffraction/experiments/categories/background/base.py b/src/easydiffraction/experiments/categories/background/base.py
new file mode 100644
index 00000000..18a8ef7d
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/background/base.py
@@ -0,0 +1,22 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from abc import abstractmethod
+
+from easydiffraction.core.category import CategoryCollection
+
+
+class BackgroundBase(CategoryCollection):
+    """Abstract base for background subcategories in experiments.
+
+    Concrete implementations provide parameterized background models and
+    compute background intensities on the experiment grid.
+    """
+
+    # TODO: Consider moving to CategoryCollection
+    @abstractmethod
+    def show(self) -> None:
+        """Print a human-readable view of background components."""
+        pass
diff --git a/src/easydiffraction/experiments/categories/background/chebyshev.py b/src/easydiffraction/experiments/categories/background/chebyshev.py
new file mode 100644
index 00000000..49546f14
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/background/chebyshev.py
@@ -0,0 +1,163 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Chebyshev polynomial background model.
+
+Provides a collection of polynomial terms and evaluation helpers.
+"""
+
+from __future__ import annotations
+
+from typing import List
+from typing import Union
+
+import numpy as np
+from numpy.polynomial.chebyshev import chebval
+
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.experiments.categories.background.base import BackgroundBase
+from easydiffraction.io.cif.handler import CifHandler
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+from easydiffraction.utils.utils import render_table
+
+
+class PolynomialTerm(CategoryItem):
+    """Chebyshev polynomial term.
+
+    New public attribute names: ``order`` and ``coef`` replacing the
+    longer ``chebyshev_order`` / ``chebyshev_coef``. Backward-compatible
+    aliases are kept so existing serialized data / external code does
+    not break immediately. Tests should migrate to the short names.
+    """
+
+    def __init__(
+        self,
+        *,
+        id=None,  # TODO: rename as in the case of data points?
+        order=None,
+        coef=None,
+    ) -> None:
+        super().__init__()
+
+        self._id = StringDescriptor(
+            name='id',
+            description='Identifier for this background polynomial term.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                value=id,
+                default='0',
+                # TODO: the following pattern is valid for dict key
+                #  (keywords are not checked). CIF label is less strict.
+                #  Do we need conversion between CIF and internal label?
+                content_validator=RegexValidator(pattern=r'^[A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_background.id',
+                ]
+            ),
+        )
+        self._order = NumericDescriptor(
+            name='order',
+            description='Order used in a Chebyshev polynomial background term',
+            value_spec=AttributeSpec(
+                value=order,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_background.Chebyshev_order',
+                ]
+            ),
+        )
+        self._coef = Parameter(
+            name='coef',
+            description='Coefficient used in a Chebyshev polynomial background term',
+            value_spec=AttributeSpec(
+                value=coef,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_background.Chebyshev_coef',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'background'
+        self._identity.category_entry_name = lambda: str(self._id.value)
+
+    @property
+    def id(self):
+        return self._id
+
+    @id.setter
+    def id(self, value):
+        self._id.value = value
+
+    @property
+    def order(self):
+        return self._order
+
+    @order.setter
+    def order(self, value):
+        self._order.value = value
+
+    @property
+    def coef(self):
+        return self._coef
+
+    @coef.setter
+    def coef(self, value):
+        self._coef.value = value
+
+
+class ChebyshevPolynomialBackground(BackgroundBase):
+    _description: str = 'Chebyshev polynomial background'
+
+    def __init__(self):
+        super().__init__(item_type=PolynomialTerm)
+
+    def _update(self, called_by_minimizer=False):
+        """Evaluate polynomial background over x data."""
+        del called_by_minimizer
+
+        data = self._parent.data
+        x = data.x
+
+        if not self._items:
+            log.warning('No background points found. Setting background to zero.')
+            data._set_bkg(np.zeros_like(x))
+            return
+
+        u = (x - x.min()) / (x.max() - x.min()) * 2 - 1
+        coefs = [term.coef.value for term in self._items]
+
+        y = chebval(u, coefs)
+        data._set_bkg(y)
+
+    def show(self) -> None:
+        """Print a table of polynomial orders and coefficients."""
+        columns_headers: List[str] = ['Order', 'Coefficient']
+        columns_alignment = ['left', 'left']
+        columns_data: List[List[Union[int, float]]] = [
+            [t.order.value, t.coef.value] for t in self._items
+        ]
+
+        console.paragraph('Chebyshev polynomial background terms')
+        render_table(
+            columns_headers=columns_headers,
+            columns_alignment=columns_alignment,
+            columns_data=columns_data,
+        )
diff --git a/src/easydiffraction/experiments/categories/background/enums.py b/src/easydiffraction/experiments/categories/background/enums.py
new file mode 100644
index 00000000..4d163c52
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/background/enums.py
@@ -0,0 +1,27 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Enumerations for background model types."""
+
+from __future__ import annotations
+
+from enum import Enum
+
+
+# TODO: Consider making EnumBase class with: default, description, ...
+class BackgroundTypeEnum(str, Enum):
+    """Supported background model types."""
+
+    LINE_SEGMENT = 'line-segment'
+    CHEBYSHEV = 'chebyshev polynomial'
+
+    @classmethod
+    def default(cls) -> 'BackgroundTypeEnum':
+        """Return a default background type."""
+        return cls.LINE_SEGMENT
+
+    def description(self) -> str:
+        """Human-friendly description for the enum value."""
+        if self is BackgroundTypeEnum.LINE_SEGMENT:
+            return 'Linear interpolation between points'
+        elif self is BackgroundTypeEnum.CHEBYSHEV:
+            return 'Chebyshev polynomial background'
diff --git a/src/easydiffraction/experiments/categories/background/factory.py b/src/easydiffraction/experiments/categories/background/factory.py
new file mode 100644
index 00000000..13193a36
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/background/factory.py
@@ -0,0 +1,66 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Background collection entry point (public facade).
+
+End users should import Background classes from this module. Internals
+live under the package
+`easydiffraction.experiments.category_collections.background_types`
+and are re-exported here for a stable and readable API.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+from typing import Optional
+
+from easydiffraction.experiments.categories.background.enums import BackgroundTypeEnum
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.background import BackgroundBase
+
+
+class BackgroundFactory:
+    """Create background collections by type."""
+
+    BT = BackgroundTypeEnum
+
+    @classmethod
+    def _supported_map(cls) -> dict:
+        """Return mapping of enum values to concrete background
+        classes.
+        """
+        # Lazy import to avoid circulars
+        from easydiffraction.experiments.categories.background.chebyshev import (
+            ChebyshevPolynomialBackground,
+        )
+        from easydiffraction.experiments.categories.background.line_segment import (
+            LineSegmentBackground,
+        )
+
+        return {
+            cls.BT.LINE_SEGMENT: LineSegmentBackground,
+            cls.BT.CHEBYSHEV: ChebyshevPolynomialBackground,
+        }
+
+    @classmethod
+    def create(
+        cls,
+        background_type: Optional[BackgroundTypeEnum] = None,
+    ) -> BackgroundBase:
+        """Instantiate a background collection of requested type.
+
+        If type is None, the default enum value is used.
+        """
+        if background_type is None:
+            background_type = BackgroundTypeEnum.default()
+
+        supported = cls._supported_map()
+        if background_type not in supported:
+            supported_types = list(supported.keys())
+            raise ValueError(
+                f"Unsupported background type: '{background_type}'. "
+                f'Supported background types: {[bt.value for bt in supported_types]}'
+            )
+
+        background_class = supported[background_type]
+        return background_class()
diff --git a/src/easydiffraction/experiments/categories/background/line_segment.py b/src/easydiffraction/experiments/categories/background/line_segment.py
new file mode 100644
index 00000000..d5141340
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/background/line_segment.py
@@ -0,0 +1,169 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Line-segment background model.
+
+Interpolate user-specified points to form a background curve.
+"""
+
+from __future__ import annotations
+
+from typing import List
+
+import numpy as np
+from scipy.interpolate import interp1d
+
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.experiments.categories.background.base import BackgroundBase
+from easydiffraction.io.cif.handler import CifHandler
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+from easydiffraction.utils.utils import render_table
+
+
+class LineSegment(CategoryItem):
+    """Single background control point for interpolation."""
+
+    def __init__(
+        self,
+        *,
+        id=None,  # TODO: rename as in the case of data points?
+        x=None,
+        y=None,
+    ) -> None:
+        super().__init__()
+
+        self._id = StringDescriptor(
+            name='id',
+            description='Identifier for this background line segment.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                value=id,
+                default='0',
+                # TODO: the following pattern is valid for dict key
+                #  (keywords are not checked). CIF label is less strict.
+                #  Do we need conversion between CIF and internal label?
+                content_validator=RegexValidator(pattern=r'^[A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_background.id',
+                ]
+            ),
+        )
+        self._x = NumericDescriptor(
+            name='x',
+            description=(
+                'X-coordinates used to create many straight-line segments '
+                'representing the background in a calculated diffractogram.'
+            ),
+            value_spec=AttributeSpec(
+                value=x,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_background.line_segment_X',
+                    '_pd_background_line_segment_X',
+                ]
+            ),
+        )
+        self._y = Parameter(
+            name='y',  # TODO: rename to intensity
+            description=(
+                'Intensity used to create many straight-line segments '
+                'representing the background in a calculated diffractogram'
+            ),
+            value_spec=AttributeSpec(
+                value=y,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),  # TODO: rename to intensity
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_background.line_segment_intensity',
+                    '_pd_background_line_segment_intensity',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'background'
+        self._identity.category_entry_name = lambda: str(self._id.value)
+
+    @property
+    def id(self):
+        return self._id
+
+    @id.setter
+    def id(self, value):
+        self._id.value = value
+
+    @property
+    def x(self):
+        return self._x
+
+    @x.setter
+    def x(self, value):
+        self._x.value = value
+
+    @property
+    def y(self):
+        return self._y
+
+    @y.setter
+    def y(self, value):
+        self._y.value = value
+
+
+class LineSegmentBackground(BackgroundBase):
+    _description: str = 'Linear interpolation between points'
+
+    def __init__(self):
+        super().__init__(item_type=LineSegment)
+
+    def _update(self, called_by_minimizer=False):
+        """Interpolate background points over x data."""
+        del called_by_minimizer
+
+        data = self._parent.data
+        x = data.x
+
+        if not self._items:
+            log.debug('No background points found. Setting background to zero.')
+            data._set_bkg(np.zeros_like(x))
+            return
+
+        segments_x = np.array([point.x.value for point in self._items])
+        segments_y = np.array([point.y.value for point in self._items])
+        interp_func = interp1d(
+            segments_x,
+            segments_y,
+            kind='linear',
+            bounds_error=False,
+            fill_value=(segments_y[0], segments_y[-1]),
+        )
+
+        y = interp_func(x)
+        data._set_bkg(y)
+
+    def show(self) -> None:
+        """Print a table of control points (x, intensity)."""
+        columns_headers: List[str] = ['X', 'Intensity']
+        columns_alignment = ['left', 'left']
+        columns_data: List[List[float]] = [[p.x.value, p.y.value] for p in self._items]
+
+        console.paragraph('Line-segment background points')
+        render_table(
+            columns_headers=columns_headers,
+            columns_alignment=columns_alignment,
+            columns_data=columns_data,
+        )
diff --git a/src/easydiffraction/experiments/categories/data/bragg_pd.py b/src/easydiffraction/experiments/categories/data/bragg_pd.py
new file mode 100644
index 00000000..db3752b3
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/data/bragg_pd.py
@@ -0,0 +1,440 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+import numpy as np
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import MembershipValidator
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+from easydiffraction.utils.utils import tof_to_d
+from easydiffraction.utils.utils import twotheta_to_d
+
+
+class PdDataPointBaseMixin:
+    """Single base data point mixin for powder diffraction data."""
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+
+        self._point_id = StringDescriptor(
+            name='point_id',
+            description='Identifier for this data point in the dataset.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                default='0',
+                # TODO: the following pattern is valid for dict key
+                #  (keywords are not checked). CIF label is less strict.
+                #  Do we need conversion between CIF and internal label?
+                content_validator=RegexValidator(pattern=r'^[A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_data.point_id',
+                ]
+            ),
+        )
+        self._d_spacing = NumericDescriptor(
+            name='d_spacing',
+            description='d-spacing value corresponding to this data point.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_proc.d_spacing',
+                ]
+            ),
+        )
+        self._intensity_meas = NumericDescriptor(
+            name='intensity_meas',
+            description='Intensity recorded at each measurement point as a function of angle/time',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_meas.intensity_total',
+                    '_pd_proc.intensity_norm',
+                ]
+            ),
+        )
+        self._intensity_meas_su = NumericDescriptor(
+            name='intensity_meas_su',
+            description='Standard uncertainty of the measured intensity at this data point.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_meas.intensity_total_su',
+                    '_pd_proc.intensity_norm_su',
+                ]
+            ),
+        )
+        self._intensity_calc = NumericDescriptor(
+            name='intensity_calc',
+            description='Intensity value for a computed diffractogram at this data point.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_calc.intensity_total',
+                ]
+            ),
+        )
+        self._intensity_bkg = NumericDescriptor(
+            name='intensity_bkg',
+            description='Intensity value for a computed background at this data point.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_calc.intensity_bkg',
+                ]
+            ),
+        )
+        self._calc_status = StringDescriptor(
+            name='calc_status',
+            description='Status code of the data point in the calculation process.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                default='incl',  # TODO: Make Enum
+                content_validator=MembershipValidator(allowed=['incl', 'excl']),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_data.refinement_status',  # TODO: rename to calc_status
+                ]
+            ),
+        )
+
+    @property
+    def point_id(self) -> StringDescriptor:
+        return self._point_id
+
+    @property
+    def d_spacing(self) -> NumericDescriptor:
+        return self._d_spacing
+
+    @property
+    def intensity_meas(self) -> NumericDescriptor:
+        return self._intensity_meas
+
+    @property
+    def intensity_meas_su(self) -> NumericDescriptor:
+        return self._intensity_meas_su
+
+    @property
+    def intensity_calc(self) -> NumericDescriptor:
+        return self._intensity_calc
+
+    @property
+    def intensity_bkg(self) -> NumericDescriptor:
+        return self._intensity_bkg
+
+    @property
+    def calc_status(self) -> StringDescriptor:
+        return self._calc_status
+
+
+class PdCwlDataPointMixin:
+    """Mixin for powder diffraction data points with constant
+    wavelength.
+    """
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self._two_theta = NumericDescriptor(
+            name='two_theta',
+            description='Measured 2θ diffraction angle.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0, le=180),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_proc.2theta_scan',
+                    '_pd_meas.2theta_scan',
+                ]
+            ),
+        )
+
+    @property
+    def two_theta(self) -> NumericDescriptor:
+        return self._two_theta
+
+
+class PdTofDataPointMixin:
+    """Mixin for powder diffraction data points with time-of-flight."""
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self._time_of_flight = NumericDescriptor(
+            name='time_of_flight',
+            description='Measured time for time-of-flight neutron measurement.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            units='µs',
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_meas.time_of_flight',
+                ]
+            ),
+        )
+
+    @property
+    def time_of_flight(self) -> NumericDescriptor:
+        return self._time_of_flight
+
+
+class PdCwlDataPoint(
+    PdDataPointBaseMixin,
+    PdCwlDataPointMixin,
+    CategoryItem,  # Must be last to ensure mixins initialized first
+):
+    """Powder diffraction data point for constant-wavelength
+    experiments.
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._identity.category_code = 'pd_data'
+        self._identity.category_entry_name = lambda: str(self.point_id.value)
+
+
+class PdTofDataPoint(
+    PdDataPointBaseMixin,
+    PdTofDataPointMixin,
+    CategoryItem,  # Must be last to ensure mixins initialized first
+):
+    """Powder diffraction data point for time-of-flight experiments."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._identity.category_code = 'pd_data'
+        self._identity.category_entry_name = lambda: str(self.point_id.value)
+
+
+class PdDataBase(CategoryCollection):
+    # TODO: ???
+
+    # Redefine update priority to ensure data updated after other
+    # categories. Higher number = runs later. Default for other
+    # categories, e.g., background and excluded regions are 10 by
+    # default
+    _update_priority = 100
+
+    # Should be set only once
+
+    def _set_point_id(self, values) -> None:
+        """Helper method to set point IDs."""
+        for p, v in zip(self._items, values, strict=True):
+            p.point_id._value = v
+
+    def _set_meas(self, values) -> None:
+        """Helper method to set measured intensity."""
+        for p, v in zip(self._items, values, strict=True):
+            p.intensity_meas._value = v
+
+    def _set_meas_su(self, values) -> None:
+        """Helper method to set standard uncertainty of measured
+        intensity.
+        """
+        for p, v in zip(self._items, values, strict=True):
+            p.intensity_meas_su._value = v
+
+    # Can be set multiple times
+
+    def _set_d_spacing(self, values) -> None:
+        """Helper method to set d-spacing values."""
+        for p, v in zip(self._calc_items, values, strict=True):
+            p.d_spacing._value = v
+
+    def _set_calc(self, values) -> None:
+        """Helper method to set calculated intensity."""
+        for p, v in zip(self._calc_items, values, strict=True):
+            p.intensity_calc._value = v
+
+    def _set_bkg(self, values) -> None:
+        """Helper method to set background intensity."""
+        for p, v in zip(self._calc_items, values, strict=True):
+            p.intensity_bkg._value = v
+
+    def _set_calc_status(self, values) -> None:
+        """Helper method to set refinement status."""
+        for p, v in zip(self._items, values, strict=True):
+            if v:
+                p.calc_status._value = 'incl'
+            elif not v:
+                p.calc_status._value = 'excl'
+            else:
+                raise ValueError(
+                    f'Invalid refinement status value: {v}. Expected boolean True/False.'
+                )
+
+    @property
+    def _calc_mask(self) -> np.ndarray:
+        return self.calc_status == 'incl'
+
+    @property
+    def _calc_items(self):
+        """Get only the items included in calculations."""
+        return [item for item, mask in zip(self._items, self._calc_mask, strict=False) if mask]
+
+    @property
+    def calc_status(self) -> np.ndarray:
+        return np.fromiter((p.calc_status.value for p in self._items), dtype=object)
+
+    @property
+    def d(self) -> np.ndarray:
+        return np.fromiter((p.d_spacing.value for p in self._calc_items), dtype=float)
+
+    @property
+    def meas(self) -> np.ndarray:
+        return np.fromiter((p.intensity_meas.value for p in self._calc_items), dtype=float)
+
+    @property
+    def meas_su(self) -> np.ndarray:
+        return np.fromiter((p.intensity_meas_su.value for p in self._calc_items), dtype=float)
+
+    @property
+    def calc(self) -> np.ndarray:
+        return np.fromiter((p.intensity_calc.value for p in self._calc_items), dtype=float)
+
+    @property
+    def bkg(self) -> np.ndarray:
+        return np.fromiter((p.intensity_bkg.value for p in self._calc_items), dtype=float)
+
+    def _update(self, called_by_minimizer=False):
+        experiment = self._parent
+        experiments = experiment._parent
+        project = experiments._parent
+        sample_models = project.sample_models
+        # calculator = experiment.calculator  # TODO: move from analysis
+        calculator = project.analysis.calculator
+
+        initial_calc = np.zeros_like(self.x)
+        calc = initial_calc
+        for linked_phase in experiment._get_valid_linked_phases(sample_models):
+            sample_model_id = linked_phase._identity.category_entry_name
+            sample_model_scale = linked_phase.scale.value
+            sample_model = sample_models[sample_model_id]
+
+            sample_model_calc = calculator.calculate_pattern(
+                sample_model,
+                experiment,
+                called_by_minimizer=called_by_minimizer,
+            )
+
+            sample_model_scaled_calc = sample_model_scale * sample_model_calc
+            calc += sample_model_scaled_calc
+
+        self._set_calc(calc + self.bkg)
+
+
+class PdCwlData(PdDataBase):
+    # TODO: ???
+    # _description: str = 'Powder diffraction data points for
+    # constant-wavelength experiments.'
+
+    def __init__(self):
+        super().__init__(item_type=PdCwlDataPoint)
+
+    # Should be set only once
+
+    def _set_x(self, values) -> None:
+        """Helper method to set 2θ values."""
+        # TODO: split into multiple methods
+        self._items = [self._item_type() for _ in range(values.size)]
+        for p, v in zip(self._items, values, strict=True):
+            p.two_theta._value = v
+        self._set_point_id([str(i + 1) for i in range(values.size)])
+
+    @property
+    def all_x(self) -> np.ndarray:
+        """Get the 2θ values for all data points in this collection."""
+        return np.fromiter((p.two_theta.value for p in self._items), dtype=float)
+
+    @property
+    def x(self) -> np.ndarray:
+        """Get the 2θ values for data points included in
+        calculations.
+        """
+        return np.fromiter((p.two_theta.value for p in self._calc_items), dtype=float)
+
+    def _update(self, called_by_minimizer=False):
+        super()._update(called_by_minimizer)
+
+        experiment = self._parent
+        d_spacing = twotheta_to_d(
+            self.x,
+            experiment.instrument.setup_wavelength.value,
+        )
+        self._set_d_spacing(d_spacing)
+
+
+class PdTofData(PdDataBase):
+    # TODO: ???
+    # _description: str = 'Powder diffraction data points for
+    # time-of-flight experiments.'
+
+    def __init__(self):
+        super().__init__(item_type=PdTofDataPoint)
+
+    def _set_x(self, values) -> None:
+        """Helper method to set time-of-flight values."""
+        # TODO: split into multiple methods
+        self._items = [self._item_type() for _ in range(values.size)]
+        for p, v in zip(self._items, values, strict=True):
+            p.time_of_flight._value = v
+        self._set_point_id([str(i + 1) for i in range(values.size)])
+
+    @property
+    def all_x(self) -> np.ndarray:
+        """Get the TOF values for all data points in this collection."""
+        return np.fromiter((p.time_of_flight.value for p in self._items), dtype=float)
+
+    @property
+    def x(self) -> np.ndarray:
+        """Get the TOF values for data points included in
+        calculations.
+        """
+        return np.fromiter((p.time_of_flight.value for p in self._calc_items), dtype=float)
+
+    def _update(self, called_by_minimizer=False):
+        super()._update(called_by_minimizer)
+
+        experiment = self._parent
+        d_spacing = tof_to_d(
+            self.x,
+            experiment.instrument.calib_d_to_tof_offset.value,
+            experiment.instrument.calib_d_to_tof_linear.value,
+            experiment.instrument.calib_d_to_tof_quad.value,
+        )
+        self._set_d_spacing(d_spacing)
diff --git a/src/easydiffraction/experiments/categories/data/bragg_sc.py b/src/easydiffraction/experiments/categories/data/bragg_sc.py
new file mode 100644
index 00000000..5b10a854
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/data/bragg_sc.py
@@ -0,0 +1,96 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class Refln:
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+
+        self._index_h = StringDescriptor(
+            name='index_h',
+            description='...',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_refln.index_h',
+                ]
+            ),
+        )
+        self._index_k = StringDescriptor(
+            name='index_k',
+            description='...',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_refln.index_k',
+                ]
+            ),
+        )
+        self._index_l = StringDescriptor(
+            name='index_l',
+            description='...',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_refln.index_l',
+                ]
+            ),
+        )
+        self._intensity_meas = NumericDescriptor(
+            name='intensity_meas',
+            description='...',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_refln.intensity_meas',
+                ]
+            ),
+        )
+        self._intensity_meas_su = NumericDescriptor(
+            name='intensity_meas_su',
+            description='...',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_refln.intensity_meas_su',
+                ]
+            ),
+        )
+
+    class ReflnData(CategoryCollection):
+        """..."""
+
+        _update_priority = 100
+
+        def __init__(self):
+            super().__init__(item_type=Refln)
diff --git a/src/easydiffraction/experiments/categories/data/factory.py b/src/easydiffraction/experiments/categories/data/factory.py
new file mode 100644
index 00000000..5f1e5da9
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/data/factory.py
@@ -0,0 +1,76 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+from typing import Optional
+
+from easydiffraction.experiments.categories.data.bragg_pd import PdCwlData
+from easydiffraction.experiments.categories.data.bragg_pd import PdTofData
+from easydiffraction.experiments.categories.data.total import TotalData
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import SampleFormEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+if TYPE_CHECKING:
+    from easydiffraction.core.category import CategoryCollection
+
+
+class DataFactory:
+    """Factory for creating powder diffraction data collections."""
+
+    _supported = {
+        SampleFormEnum.POWDER: {
+            ScatteringTypeEnum.BRAGG: {
+                BeamModeEnum.CONSTANT_WAVELENGTH: PdCwlData,
+                BeamModeEnum.TIME_OF_FLIGHT: PdTofData,
+            },
+            ScatteringTypeEnum.TOTAL: {
+                BeamModeEnum.CONSTANT_WAVELENGTH: TotalData,
+                BeamModeEnum.TIME_OF_FLIGHT: TotalData,
+            },
+        },
+    }
+
+    @classmethod
+    def create(
+        cls,
+        *,
+        sample_form: Optional[SampleFormEnum] = None,
+        beam_mode: Optional[BeamModeEnum] = None,
+        scattering_type: Optional[ScatteringTypeEnum] = None,
+    ) -> CategoryCollection:
+        """Create a data collection for the given configuration."""
+        if sample_form is None:
+            sample_form = SampleFormEnum.default()
+        if beam_mode is None:
+            beam_mode = BeamModeEnum.default()
+        if scattering_type is None:
+            scattering_type = ScatteringTypeEnum.default()
+
+        supported_sample_forms = list(cls._supported.keys())
+        if sample_form not in supported_sample_forms:
+            raise ValueError(
+                f"Unsupported sample form: '{sample_form}'.\n"
+                f'Supported sample forms: {supported_sample_forms}'
+            )
+
+        supported_scattering_types = list(cls._supported[sample_form].keys())
+        if scattering_type not in supported_scattering_types:
+            raise ValueError(
+                f"Unsupported scattering type: '{scattering_type}' for sample form: "
+                f"'{sample_form}'.\n Supported scattering types: '{supported_scattering_types}'"
+            )
+        supported_beam_modes = list(cls._supported[sample_form][scattering_type].keys())
+        if beam_mode not in supported_beam_modes:
+            raise ValueError(
+                f"Unsupported beam mode: '{beam_mode}' for sample form: "
+                f"'{sample_form}' and scattering type '{scattering_type}'.\n"
+                f"Supported beam modes: '{supported_beam_modes}'"
+            )
+
+        data_class = cls._supported[sample_form][scattering_type][beam_mode]
+        data_obj = data_class()
+
+        return data_obj
diff --git a/src/easydiffraction/experiments/categories/data/total.py b/src/easydiffraction/experiments/categories/data/total.py
new file mode 100644
index 00000000..cb791432
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/data/total.py
@@ -0,0 +1,267 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Data categories for total scattering (PDF) experiments."""
+
+from __future__ import annotations
+
+import numpy as np
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import MembershipValidator
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class TotalDataPoint(CategoryItem):
+    """Total scattering (PDF) data point in r-space (real space).
+
+    Note: PDF data is always in r-space regardless of whether the
+    original measurement was CWL or TOF.
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+
+        self._point_id = StringDescriptor(
+            name='point_id',
+            description='Identifier for this data point in the dataset.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                default='0',
+                content_validator=RegexValidator(pattern=r'^[A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_data.point_id',  # TODO: Use total scattering CIF names
+                ]
+            ),
+        )
+        self._r = NumericDescriptor(
+            name='r',
+            description='Interatomic distance in real space.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            units='Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_proc.r',  # TODO: Use PDF-specific CIF names
+                ]
+            ),
+        )
+        self._g_r_meas = NumericDescriptor(
+            name='g_r_meas',
+            description='Measured pair distribution function G(r).',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_meas.intensity_total',  # TODO: Use PDF-specific CIF names
+                ]
+            ),
+        )
+        self._g_r_meas_su = NumericDescriptor(
+            name='g_r_meas_su',
+            description='Standard uncertainty of measured G(r).',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_meas.intensity_total_su',  # TODO: Use PDF-specific CIF names
+                ]
+            ),
+        )
+        self._g_r_calc = NumericDescriptor(
+            name='g_r_calc',
+            description='Calculated pair distribution function G(r).',
+            value_spec=AttributeSpec(
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_calc.intensity_total',  # TODO: Use PDF-specific CIF names
+                ]
+            ),
+        )
+        self._calc_status = StringDescriptor(
+            name='calc_status',
+            description='Status code of the data point in calculation.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                default='incl',
+                content_validator=MembershipValidator(allowed=['incl', 'excl']),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_data.refinement_status',  # TODO: Use PDF-specific CIF names
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'total_data'
+        self._identity.category_entry_name = lambda: str(self.point_id.value)
+
+    @property
+    def point_id(self) -> StringDescriptor:
+        return self._point_id
+
+    @property
+    def r(self) -> NumericDescriptor:
+        return self._r
+
+    @property
+    def g_r_meas(self) -> NumericDescriptor:
+        return self._g_r_meas
+
+    @property
+    def g_r_meas_su(self) -> NumericDescriptor:
+        return self._g_r_meas_su
+
+    @property
+    def g_r_calc(self) -> NumericDescriptor:
+        return self._g_r_calc
+
+    @property
+    def calc_status(self) -> StringDescriptor:
+        return self._calc_status
+
+
+class TotalDataBase(CategoryCollection):
+    """Base class for total scattering data collections."""
+
+    _update_priority = 100
+
+    # Should be set only once
+
+    def _set_point_id(self, values) -> None:
+        """Helper method to set point IDs."""
+        for p, v in zip(self._items, values, strict=True):
+            p.point_id._value = v
+
+    def _set_meas(self, values) -> None:
+        """Helper method to set measured G(r)."""
+        for p, v in zip(self._items, values, strict=True):
+            p.g_r_meas._value = v
+
+    def _set_meas_su(self, values) -> None:
+        """Helper method to set standard uncertainty of measured
+        G(r).
+        """
+        for p, v in zip(self._items, values, strict=True):
+            p.g_r_meas_su._value = v
+
+    # Can be set multiple times
+
+    def _set_calc(self, values) -> None:
+        """Helper method to set calculated G(r)."""
+        for p, v in zip(self._calc_items, values, strict=True):
+            p.g_r_calc._value = v
+
+    def _set_calc_status(self, values) -> None:
+        """Helper method to set calculation status."""
+        for p, v in zip(self._items, values, strict=True):
+            if v:
+                p.calc_status._value = 'incl'
+            elif not v:
+                p.calc_status._value = 'excl'
+            else:
+                raise ValueError(
+                    f'Invalid calculation status value: {v}. Expected boolean True/False.'
+                )
+
+    @property
+    def _calc_mask(self) -> np.ndarray:
+        return self.calc_status == 'incl'
+
+    @property
+    def _calc_items(self):
+        """Get only the items included in calculations."""
+        return [item for item, mask in zip(self._items, self._calc_mask, strict=False) if mask]
+
+    @property
+    def calc_status(self) -> np.ndarray:
+        return np.fromiter((p.calc_status.value for p in self._items), dtype=object)
+
+    @property
+    def meas(self) -> np.ndarray:
+        return np.fromiter((p.g_r_meas.value for p in self._calc_items), dtype=float)
+
+    @property
+    def meas_su(self) -> np.ndarray:
+        return np.fromiter((p.g_r_meas_su.value for p in self._calc_items), dtype=float)
+
+    @property
+    def calc(self) -> np.ndarray:
+        return np.fromiter((p.g_r_calc.value for p in self._calc_items), dtype=float)
+
+    @property
+    def bkg(self) -> np.ndarray:
+        """Background is always zero for PDF data."""
+        return np.zeros_like(self.calc)
+
+    def _update(self, called_by_minimizer=False):
+        experiment = self._parent
+        experiments = experiment._parent
+        project = experiments._parent
+        sample_models = project.sample_models
+        calculator = project.analysis.calculator
+
+        initial_calc = np.zeros_like(self.x)
+        calc = initial_calc
+        for linked_phase in experiment._get_valid_linked_phases(sample_models):
+            sample_model_id = linked_phase._identity.category_entry_name
+            sample_model_scale = linked_phase.scale.value
+            sample_model = sample_models[sample_model_id]
+
+            sample_model_calc = calculator.calculate_pattern(
+                sample_model,
+                experiment,
+                called_by_minimizer=called_by_minimizer,
+            )
+
+            sample_model_scaled_calc = sample_model_scale * sample_model_calc
+            calc += sample_model_scaled_calc
+
+        self._set_calc(calc)
+
+
+class TotalData(TotalDataBase):
+    """Total scattering (PDF) data collection in r-space.
+
+    Note: Works for both CWL and TOF measurements as PDF data
+    is always transformed to r-space.
+    """
+
+    def __init__(self):
+        super().__init__(item_type=TotalDataPoint)
+
+    def _set_x(self, values) -> None:
+        """Helper method to set r values."""
+        self._items = [self._item_type() for _ in range(values.size)]
+        for p, v in zip(self._items, values, strict=True):
+            p.r._value = v
+        self._set_point_id([str(i + 1) for i in range(values.size)])
+
+    @property
+    def all_x(self) -> np.ndarray:
+        """Get the r values for all data points."""
+        return np.fromiter((p.r.value for p in self._items), dtype=float)
+
+    @property
+    def x(self) -> np.ndarray:
+        """Get the r values for data points included in calculations."""
+        return np.fromiter((p.r.value for p in self._calc_items), dtype=float)
diff --git a/src/easydiffraction/experiments/categories/excluded_regions.py b/src/easydiffraction/experiments/categories/excluded_regions.py
new file mode 100644
index 00000000..cc8ea895
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/excluded_regions.py
@@ -0,0 +1,161 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Exclude ranges of x from fitting/plotting (masked regions)."""
+
+from typing import List
+
+import numpy as np
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import NumericDescriptor
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.utils import render_table
+
+
+class ExcludedRegion(CategoryItem):
+    """Closed interval [start, end] to be excluded."""
+
+    def __init__(
+        self,
+        *,
+        id=None,  # TODO: rename as in the case of data points?
+        start=None,
+        end=None,
+    ):
+        super().__init__()
+
+        # TODO: Add point_id as for the background
+        self._id = StringDescriptor(
+            name='id',
+            description='Identifier for this excluded region.',
+            value_spec=AttributeSpec(
+                type_=DataTypes.STRING,
+                value=id,
+                default='0',
+                # TODO: the following pattern is valid for dict key
+                #  (keywords are not checked). CIF label is less strict.
+                #  Do we need conversion between CIF and internal label?
+                content_validator=RegexValidator(pattern=r'^[A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_excluded_region.id',
+                ]
+            ),
+        )
+        self._start = NumericDescriptor(
+            name='start',
+            description='Start of the excluded region.',
+            value_spec=AttributeSpec(
+                value=start,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_excluded_region.start',
+                ]
+            ),
+        )
+        self._end = NumericDescriptor(
+            name='end',
+            description='End of the excluded region.',
+            value_spec=AttributeSpec(
+                value=end,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_excluded_region.end',
+                ]
+            ),
+        )
+        # self._category_entry_attr_name = f'{start}-{end}'
+        # self._category_entry_attr_name = self.start.name
+        # self.name = self.start.value
+        self._identity.category_code = 'excluded_regions'
+        self._identity.category_entry_name = lambda: str(self._id.value)
+
+    @property
+    def id(self):
+        return self._id
+
+    @id.setter
+    def id(self, value):
+        self._id.value = value
+
+    @property
+    def start(self) -> NumericDescriptor:
+        return self._start
+
+    @start.setter
+    def start(self, value: float):
+        self._start.value = value
+
+    @property
+    def end(self) -> NumericDescriptor:
+        return self._end
+
+    @end.setter
+    def end(self, value: float):
+        self._end.value = value
+
+
+class ExcludedRegions(CategoryCollection):
+    """Collection of ExcludedRegion instances.
+
+    Excluded regions define closed intervals [start, end] on the x-axis
+    that are to be excluded from calculations and, as a result, from
+    fitting and plotting.
+    """
+
+    def __init__(self):
+        super().__init__(item_type=ExcludedRegion)
+
+    def _update(self, called_by_minimizer=False):
+        del called_by_minimizer
+
+        data = self._parent.data
+        x = data.all_x
+
+        # Start with a mask of all False (nothing excluded yet)
+        combined_mask = np.full_like(x, fill_value=False, dtype=bool)
+
+        # Combine masks for all excluded regions
+        for region in self.values():
+            start = region.start.value
+            end = region.end.value
+            region_mask = (x >= start) & (x <= end)
+            combined_mask |= region_mask
+
+        # Invert mask, as refinement status is opposite of excluded
+        inverted_mask = ~combined_mask
+
+        # Set refinement status in the data object
+        data._set_calc_status(inverted_mask)
+
+    def show(self) -> None:
+        """Print a table of excluded [start, end] intervals."""
+        # TODO: Consider moving this to the base class
+        #  to avoid code duplication with implementations in Background,
+        #  etc. Consider using parameter names as column headers
+        columns_headers: List[str] = ['start', 'end']
+        columns_alignment = ['left', 'left']
+        columns_data: List[List[float]] = [[r.start.value, r.end.value] for r in self._items]
+
+        console.paragraph('Excluded regions')
+        render_table(
+            columns_headers=columns_headers,
+            columns_alignment=columns_alignment,
+            columns_data=columns_data,
+        )
diff --git a/src/easydiffraction/experiments/categories/experiment_type.py b/src/easydiffraction/experiments/categories/experiment_type.py
new file mode 100644
index 00000000..2baccf8d
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/experiment_type.py
@@ -0,0 +1,156 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Experiment type descriptor (form, beam, probe, scattering).
+
+This lightweight container stores the categorical attributes defining
+an experiment configuration and handles CIF serialization via
+``CifHandler``.
+"""
+
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import MembershipValidator
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+from easydiffraction.experiments.experiment.enums import SampleFormEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class ExperimentType(CategoryItem):
+    """Container of categorical attributes defining experiment flavor.
+
+    Args:
+        sample_form: Powder or Single crystal.
+        beam_mode: Constant wavelength (CW) or time-of-flight (TOF).
+        radiation_probe: Neutrons or X-rays.
+        scattering_type: Bragg or Total.
+    """
+
+    def __init__(
+        self,
+        *,
+        sample_form=None,
+        beam_mode=None,
+        radiation_probe=None,
+        scattering_type=None,
+    ):
+        super().__init__()
+
+        self._sample_form: StringDescriptor = StringDescriptor(
+            name='sample_form',
+            description='Specifies whether the diffraction data corresponds to '
+            'powder diffraction or single crystal diffraction',
+            value_spec=AttributeSpec(
+                value=sample_form,
+                type_=DataTypes.STRING,
+                default=SampleFormEnum.default().value,
+                content_validator=MembershipValidator(
+                    allowed=[member.value for member in SampleFormEnum]
+                ),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_expt_type.sample_form',
+                ]
+            ),
+        )
+
+        self._beam_mode: StringDescriptor = StringDescriptor(
+            name='beam_mode',
+            description='Defines whether the measurement is performed with a '
+            'constant wavelength (CW) or time-of-flight (TOF) method',
+            value_spec=AttributeSpec(
+                value=beam_mode,
+                type_=DataTypes.STRING,
+                default=BeamModeEnum.default().value,
+                content_validator=MembershipValidator(
+                    allowed=[member.value for member in BeamModeEnum]
+                ),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_expt_type.beam_mode',
+                ]
+            ),
+        )
+        self._radiation_probe: StringDescriptor = StringDescriptor(
+            name='radiation_probe',
+            description='Specifies whether the measurement uses neutrons or X-rays',
+            value_spec=AttributeSpec(
+                value=radiation_probe,
+                type_=DataTypes.STRING,
+                default=RadiationProbeEnum.default().value,
+                content_validator=MembershipValidator(
+                    allowed=[member.value for member in RadiationProbeEnum]
+                ),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_expt_type.radiation_probe',
+                ]
+            ),
+        )
+        self._scattering_type: StringDescriptor = StringDescriptor(
+            name='scattering_type',
+            description='Specifies whether the experiment uses Bragg scattering '
+            '(for conventional structure refinement) or total scattering '
+            '(for pair distribution function analysis - PDF)',
+            value_spec=AttributeSpec(
+                value=scattering_type,
+                type_=DataTypes.STRING,
+                default=ScatteringTypeEnum.default().value,
+                content_validator=MembershipValidator(
+                    allowed=[member.value for member in ScatteringTypeEnum]
+                ),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_expt_type.scattering_type',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'expt_type'
+
+    @property
+    def sample_form(self):
+        """Sample form descriptor (powder/single crystal)."""
+        return self._sample_form
+
+    @sample_form.setter
+    def sample_form(self, value):
+        """Set sample form value."""
+        self._sample_form.value = value
+
+    @property
+    def beam_mode(self):
+        """Beam mode descriptor (CW/TOF)."""
+        return self._beam_mode
+
+    @beam_mode.setter
+    def beam_mode(self, value):
+        """Set beam mode value."""
+        self._beam_mode.value = value
+
+    @property
+    def radiation_probe(self):
+        """Radiation probe descriptor (neutrons/X-rays)."""
+        return self._radiation_probe
+
+    @radiation_probe.setter
+    def radiation_probe(self, value):
+        """Set radiation probe value."""
+        self._radiation_probe.value = value
+
+    @property
+    def scattering_type(self):
+        """Scattering type descriptor (Bragg/Total)."""
+        return self._scattering_type
+
+    @scattering_type.setter
+    def scattering_type(self, value):
+        """Set scattering type value."""
+        self._scattering_type.value = value
diff --git a/src/easydiffraction/plotting/__init__.py b/src/easydiffraction/experiments/categories/instrument/__init__.py
similarity index 100%
rename from src/easydiffraction/plotting/__init__.py
rename to src/easydiffraction/experiments/categories/instrument/__init__.py
diff --git a/src/easydiffraction/experiments/categories/instrument/base.py b/src/easydiffraction/experiments/categories/instrument/base.py
new file mode 100644
index 00000000..8e2fa17b
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/instrument/base.py
@@ -0,0 +1,24 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Instrument category base definitions for CWL/TOF instruments.
+
+This module provides the shared parent used by concrete instrument
+implementations under the instrument category.
+"""
+
+from __future__ import annotations
+
+from easydiffraction.core.category import CategoryItem
+
+
+class InstrumentBase(CategoryItem):
+    """Base class for instrument category items.
+
+    This class sets the common ``category_code`` and is used as a base
+    for concrete CWL/TOF instrument definitions.
+    """
+
+    def __init__(self) -> None:
+        """Initialize instrument base and set category code."""
+        super().__init__()
+        self._identity.category_code = 'instrument'
diff --git a/src/easydiffraction/experiments/categories/instrument/cwl.py b/src/easydiffraction/experiments/categories/instrument/cwl.py
new file mode 100644
index 00000000..e7d0c9cb
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/instrument/cwl.py
@@ -0,0 +1,72 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.experiments.categories.instrument.base import InstrumentBase
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class CwlInstrument(InstrumentBase):
+    def __init__(
+        self,
+        *,
+        setup_wavelength=None,
+        calib_twotheta_offset=None,
+    ) -> None:
+        super().__init__()
+
+        self._setup_wavelength: Parameter = Parameter(
+            name='wavelength',
+            description='Incident neutron or X-ray wavelength',
+            value_spec=AttributeSpec(
+                value=setup_wavelength,
+                type_=DataTypes.NUMERIC,
+                default=1.5406,
+                content_validator=RangeValidator(),
+            ),
+            units='Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.wavelength',
+                ]
+            ),
+        )
+        self._calib_twotheta_offset: Parameter = Parameter(
+            name='twotheta_offset',
+            description='Instrument misalignment offset',
+            value_spec=AttributeSpec(
+                value=calib_twotheta_offset,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.2theta_offset',
+                ]
+            ),
+        )
+
+    @property
+    def setup_wavelength(self):
+        """Incident wavelength parameter (Å)."""
+        return self._setup_wavelength
+
+    @setup_wavelength.setter
+    def setup_wavelength(self, value):
+        """Set incident wavelength value (Å)."""
+        self._setup_wavelength.value = value
+
+    @property
+    def calib_twotheta_offset(self):
+        """Instrument misalignment two-theta offset (deg)."""
+        return self._calib_twotheta_offset
+
+    @calib_twotheta_offset.setter
+    def calib_twotheta_offset(self, value):
+        """Set two-theta offset value (deg)."""
+        self._calib_twotheta_offset.value = value
diff --git a/src/easydiffraction/experiments/categories/instrument/factory.py b/src/easydiffraction/experiments/categories/instrument/factory.py
new file mode 100644
index 00000000..db1c72ff
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/instrument/factory.py
@@ -0,0 +1,74 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Factory for instrument category items.
+
+Provides a stable entry point for creating instrument objects from the
+experiment's scattering type and beam mode.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+from typing import Optional
+from typing import Type
+
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.instrument.base import InstrumentBase
+
+
+class InstrumentFactory:
+    """Create instrument instances for supported modes.
+
+    The factory hides implementation details and lazy-loads concrete
+    instrument classes to avoid circular imports.
+    """
+
+    ST = ScatteringTypeEnum
+    BM = BeamModeEnum
+
+    @classmethod
+    def _supported_map(cls) -> dict:
+        # Lazy import to avoid circulars
+        from easydiffraction.experiments.categories.instrument.cwl import CwlInstrument
+        from easydiffraction.experiments.categories.instrument.tof import TofInstrument
+
+        return {
+            cls.ST.BRAGG: {
+                cls.BM.CONSTANT_WAVELENGTH: CwlInstrument,
+                cls.BM.TIME_OF_FLIGHT: TofInstrument,
+            }
+        }
+
+    @classmethod
+    def create(
+        cls,
+        scattering_type: Optional[ScatteringTypeEnum] = None,
+        beam_mode: Optional[BeamModeEnum] = None,
+    ) -> InstrumentBase:
+        if beam_mode is None:
+            beam_mode = BeamModeEnum.default()
+        if scattering_type is None:
+            scattering_type = ScatteringTypeEnum.default()
+
+        supported = cls._supported_map()
+
+        supported_scattering_types = list(supported.keys())
+        if scattering_type not in supported_scattering_types:
+            raise ValueError(
+                f"Unsupported scattering type: '{scattering_type}'.\n "
+                f'Supported scattering types: {supported_scattering_types}'
+            )
+
+        supported_beam_modes = list(supported[scattering_type].keys())
+        if beam_mode not in supported_beam_modes:
+            raise ValueError(
+                f"Unsupported beam mode: '{beam_mode}' for scattering type: "
+                f"'{scattering_type}'.\n "
+                f'Supported beam modes: {supported_beam_modes}'
+            )
+
+        instrument_class: Type[InstrumentBase] = supported[scattering_type][beam_mode]
+        return instrument_class()
diff --git a/src/easydiffraction/experiments/categories/instrument/tof.py b/src/easydiffraction/experiments/categories/instrument/tof.py
new file mode 100644
index 00000000..981a57e3
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/instrument/tof.py
@@ -0,0 +1,153 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.experiments.categories.instrument.base import InstrumentBase
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class TofInstrument(InstrumentBase):
+    def __init__(
+        self,
+        *,
+        setup_twotheta_bank=None,
+        calib_d_to_tof_offset=None,
+        calib_d_to_tof_linear=None,
+        calib_d_to_tof_quad=None,
+        calib_d_to_tof_recip=None,
+    ) -> None:
+        super().__init__()
+
+        self._setup_twotheta_bank: Parameter = Parameter(
+            name='twotheta_bank',
+            description='Detector bank position',
+            value_spec=AttributeSpec(
+                value=setup_twotheta_bank,
+                type_=DataTypes.NUMERIC,
+                default=150.0,
+                content_validator=RangeValidator(),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.2theta_bank',
+                ]
+            ),
+        )
+        self._calib_d_to_tof_offset: Parameter = Parameter(
+            name='d_to_tof_offset',
+            description='TOF offset',
+            value_spec=AttributeSpec(
+                value=calib_d_to_tof_offset,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.d_to_tof_offset',
+                ]
+            ),
+        )
+        self._calib_d_to_tof_linear: Parameter = Parameter(
+            name='d_to_tof_linear',
+            description='TOF linear conversion',
+            value_spec=AttributeSpec(
+                value=calib_d_to_tof_linear,
+                type_=DataTypes.NUMERIC,
+                default=10000.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs/Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.d_to_tof_linear',
+                ]
+            ),
+        )
+        self._calib_d_to_tof_quad: Parameter = Parameter(
+            name='d_to_tof_quad',
+            description='TOF quadratic correction',
+            value_spec=AttributeSpec(
+                value=calib_d_to_tof_quad,
+                type_=DataTypes.NUMERIC,
+                default=-0.00001,
+                content_validator=RangeValidator(),
+            ),
+            units='µs/Ų',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.d_to_tof_quad',
+                ]
+            ),
+        )
+        self._calib_d_to_tof_recip: Parameter = Parameter(
+            name='d_to_tof_recip',
+            description='TOF reciprocal velocity correction',
+            value_spec=AttributeSpec(
+                value=calib_d_to_tof_recip,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs·Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_instr.d_to_tof_recip',
+                ]
+            ),
+        )
+
+    @property
+    def setup_twotheta_bank(self):
+        """Detector bank two-theta position (deg)."""
+        return self._setup_twotheta_bank
+
+    @setup_twotheta_bank.setter
+    def setup_twotheta_bank(self, value):
+        """Set detector bank two-theta position (deg)."""
+        self._setup_twotheta_bank.value = value
+
+    @property
+    def calib_d_to_tof_offset(self):
+        """TOF offset calibration parameter (µs)."""
+        return self._calib_d_to_tof_offset
+
+    @calib_d_to_tof_offset.setter
+    def calib_d_to_tof_offset(self, value):
+        """Set TOF offset (µs)."""
+        self._calib_d_to_tof_offset.value = value
+
+    @property
+    def calib_d_to_tof_linear(self):
+        """Linear d to TOF conversion coefficient (µs/Å)."""
+        return self._calib_d_to_tof_linear
+
+    @calib_d_to_tof_linear.setter
+    def calib_d_to_tof_linear(self, value):
+        """Set linear d to TOF coefficient (µs/Å)."""
+        self._calib_d_to_tof_linear.value = value
+
+    @property
+    def calib_d_to_tof_quad(self):
+        """Quadratic d to TOF correction coefficient (µs/Ų)."""
+        return self._calib_d_to_tof_quad
+
+    @calib_d_to_tof_quad.setter
+    def calib_d_to_tof_quad(self, value):
+        """Set quadratic d to TOF correction (µs/Ų)."""
+        self._calib_d_to_tof_quad.value = value
+
+    @property
+    def calib_d_to_tof_recip(self):
+        """Reciprocal-velocity d to TOF correction (µs·Å)."""
+        return self._calib_d_to_tof_recip
+
+    @calib_d_to_tof_recip.setter
+    def calib_d_to_tof_recip(self, value):
+        """Set reciprocal-velocity d to TOF correction (µs·Å)."""
+        self._calib_d_to_tof_recip.value = value
diff --git a/src/easydiffraction/experiments/categories/linked_phases.py b/src/easydiffraction/experiments/categories/linked_phases.py
new file mode 100644
index 00000000..2db800fd
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/linked_phases.py
@@ -0,0 +1,86 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Linked phases allow combining phases with scale factors."""
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class LinkedPhase(CategoryItem):
+    """Link to a phase by id with a scale factor."""
+
+    def __init__(
+        self,
+        *,
+        id=None,  # TODO: need new name instead of id
+        scale=None,
+    ):
+        super().__init__()
+
+        self._id = StringDescriptor(
+            name='id',
+            description='Identifier of the linked phase.',
+            value_spec=AttributeSpec(
+                value=id,
+                type_=DataTypes.STRING,
+                default='Si',
+                content_validator=RegexValidator(pattern=r'^[A-Za-z_][A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_phase_block.id',
+                ]
+            ),
+        )
+        self._scale = Parameter(
+            name='scale',
+            description='Scale factor of the linked phase.',
+            value_spec=AttributeSpec(
+                value=scale,
+                type_=DataTypes.NUMERIC,
+                default=1.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_pd_phase_block.scale',
+                ]
+            ),
+        )
+        self._identity.category_code = 'linked_phases'
+        self._identity.category_entry_name = lambda: str(self.id.value)
+
+    @property
+    def id(self) -> StringDescriptor:
+        """Identifier of the linked phase."""
+        return self._id
+
+    @id.setter
+    def id(self, value: str):
+        """Set the linked phase identifier."""
+        self._id.value = value
+
+    @property
+    def scale(self) -> Parameter:
+        """Scale factor parameter."""
+        return self._scale
+
+    @scale.setter
+    def scale(self, value: float):
+        """Set scale factor value."""
+        self._scale.value = value
+
+
+class LinkedPhases(CategoryCollection):
+    """Collection of LinkedPhase instances."""
+
+    def __init__(self):
+        """Create an empty collection of linked phases."""
+        super().__init__(item_type=LinkedPhase)
diff --git a/src/easydiffraction/plotting/plotters/__init__.py b/src/easydiffraction/experiments/categories/peak/__init__.py
similarity index 100%
rename from src/easydiffraction/plotting/plotters/__init__.py
rename to src/easydiffraction/experiments/categories/peak/__init__.py
diff --git a/src/easydiffraction/experiments/categories/peak/base.py b/src/easydiffraction/experiments/categories/peak/base.py
new file mode 100644
index 00000000..ce8030b9
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/base.py
@@ -0,0 +1,13 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Base class for peak profile categories."""
+
+from easydiffraction.core.category import CategoryItem
+
+
+class PeakBase(CategoryItem):
+    """Base class for peak profile categories."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._identity.category_code = 'peak'
diff --git a/src/easydiffraction/experiments/categories/peak/cwl.py b/src/easydiffraction/experiments/categories/peak/cwl.py
new file mode 100644
index 00000000..9170c1dc
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/cwl.py
@@ -0,0 +1,45 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Constant-wavelength peak profile classes."""
+
+from easydiffraction.experiments.categories.peak.base import PeakBase
+from easydiffraction.experiments.categories.peak.cwl_mixins import CwlBroadeningMixin
+from easydiffraction.experiments.categories.peak.cwl_mixins import EmpiricalAsymmetryMixin
+from easydiffraction.experiments.categories.peak.cwl_mixins import FcjAsymmetryMixin
+
+
+class CwlPseudoVoigt(
+    PeakBase,
+    CwlBroadeningMixin,
+):
+    """Constant-wavelength pseudo-Voigt peak shape."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_constant_wavelength_broadening()
+
+
+class CwlSplitPseudoVoigt(
+    PeakBase,
+    CwlBroadeningMixin,
+    EmpiricalAsymmetryMixin,
+):
+    """Split pseudo-Voigt (empirical asymmetry) for CWL mode."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_constant_wavelength_broadening()
+        self._add_empirical_asymmetry()
+
+
+class CwlThompsonCoxHastings(
+    PeakBase,
+    CwlBroadeningMixin,
+    FcjAsymmetryMixin,
+):
+    """Thompson–Cox–Hastings with FCJ asymmetry for CWL mode."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_constant_wavelength_broadening()
+        self._add_fcj_asymmetry()
diff --git a/src/easydiffraction/experiments/categories/peak/cwl_mixins.py b/src/easydiffraction/experiments/categories/peak/cwl_mixins.py
new file mode 100644
index 00000000..f35e4ac1
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/cwl_mixins.py
@@ -0,0 +1,332 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Constant-wavelength (CWL) peak-profile mixins.
+
+This module provides mixins that add broadening and asymmetry parameters
+for constant-wavelength powder diffraction peak profiles. They are
+composed into concrete peak classes elsewhere.
+"""
+
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class CwlBroadeningMixin:
+    """Mixin that adds CWL Gaussian and Lorentz broadening
+    parameters.
+    """
+
+    # TODO: Rename to cwl. Check other mixins for naming consistency.
+    def _add_constant_wavelength_broadening(self) -> None:
+        """Create CWL broadening parameters and attach them to the
+        class.
+
+        Defines Gaussian (U, V, W) and Lorentz (X, Y) terms
+        often used in the TCH formulation. Values are stored as
+        ``Parameter`` objects.
+        """
+        self._broad_gauss_u: Parameter = Parameter(
+            name='broad_gauss_u',
+            description='Gaussian broadening coefficient (dependent on '
+            'sample size and instrument resolution)',
+            value_spec=AttributeSpec(
+                value=0.01,
+                type_=DataTypes.NUMERIC,
+                default=0.01,
+                content_validator=RangeValidator(),
+            ),
+            units='deg²',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.broad_gauss_u',
+                ]
+            ),
+        )
+        self._broad_gauss_v: Parameter = Parameter(
+            name='broad_gauss_v',
+            description='Gaussian broadening coefficient (instrumental broadening contribution)',
+            value_spec=AttributeSpec(
+                value=-0.01,
+                type_=DataTypes.NUMERIC,
+                default=-0.01,
+                content_validator=RangeValidator(),
+            ),
+            units='deg²',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.broad_gauss_v',
+                ]
+            ),
+        )
+        self._broad_gauss_w: Parameter = Parameter(
+            name='broad_gauss_w',
+            description='Gaussian broadening coefficient (instrumental broadening contribution)',
+            value_spec=AttributeSpec(
+                value=0.02,
+                type_=DataTypes.NUMERIC,
+                default=0.02,
+                content_validator=RangeValidator(),
+            ),
+            units='deg²',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.broad_gauss_w',
+                ]
+            ),
+        )
+        self._broad_lorentz_x: Parameter = Parameter(
+            name='broad_lorentz_x',
+            description='Lorentzian broadening coefficient (dependent on sample strain effects)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.broad_lorentz_x',
+                ]
+            ),
+        )
+        self._broad_lorentz_y: Parameter = Parameter(
+            name='broad_lorentz_y',
+            description='Lorentzian broadening coefficient (dependent on '
+            'microstructural defects and strain)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.broad_lorentz_y',
+                ]
+            ),
+        )
+
+    @property
+    def broad_gauss_u(self) -> Parameter:
+        """Get Gaussian U broadening parameter."""
+        return self._broad_gauss_u
+
+    @broad_gauss_u.setter
+    def broad_gauss_u(self, value: float) -> None:
+        """Set Gaussian U broadening parameter."""
+        self._broad_gauss_u.value = value
+
+    @property
+    def broad_gauss_v(self) -> Parameter:
+        """Get Gaussian V broadening parameter."""
+        return self._broad_gauss_v
+
+    @broad_gauss_v.setter
+    def broad_gauss_v(self, value: float) -> None:
+        """Set Gaussian V broadening parameter."""
+        self._broad_gauss_v.value = value
+
+    @property
+    def broad_gauss_w(self) -> Parameter:
+        """Get Gaussian W broadening parameter."""
+        return self._broad_gauss_w
+
+    @broad_gauss_w.setter
+    def broad_gauss_w(self, value: float) -> None:
+        """Set Gaussian W broadening parameter."""
+        self._broad_gauss_w.value = value
+
+    @property
+    def broad_lorentz_x(self) -> Parameter:
+        """Get Lorentz X broadening parameter."""
+        return self._broad_lorentz_x
+
+    @broad_lorentz_x.setter
+    def broad_lorentz_x(self, value: float) -> None:
+        """Set Lorentz X broadening parameter."""
+        self._broad_lorentz_x.value = value
+
+    @property
+    def broad_lorentz_y(self) -> Parameter:
+        """Get Lorentz Y broadening parameter."""
+        return self._broad_lorentz_y
+
+    @broad_lorentz_y.setter
+    def broad_lorentz_y(self, value: float) -> None:
+        """Set Lorentz Y broadening parameter."""
+        self._broad_lorentz_y.value = value
+
+
+class EmpiricalAsymmetryMixin:
+    """Mixin that adds empirical CWL peak asymmetry parameters."""
+
+    def _add_empirical_asymmetry(self) -> None:
+        """Create empirical asymmetry parameters p1..p4."""
+        self._asym_empir_1: Parameter = Parameter(
+            name='asym_empir_1',
+            description='Empirical asymmetry coefficient p1',
+            value_spec=AttributeSpec(
+                value=0.1,
+                type_=DataTypes.NUMERIC,
+                default=0.1,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_empir_1',
+                ]
+            ),
+        )
+        self._asym_empir_2: Parameter = Parameter(
+            name='asym_empir_2',
+            description='Empirical asymmetry coefficient p2',
+            value_spec=AttributeSpec(
+                value=0.2,
+                type_=DataTypes.NUMERIC,
+                default=0.2,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_empir_2',
+                ]
+            ),
+        )
+        self._asym_empir_3: Parameter = Parameter(
+            name='asym_empir_3',
+            description='Empirical asymmetry coefficient p3',
+            value_spec=AttributeSpec(
+                value=0.3,
+                type_=DataTypes.NUMERIC,
+                default=0.3,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_empir_3',
+                ]
+            ),
+        )
+        self._asym_empir_4: Parameter = Parameter(
+            name='asym_empir_4',
+            description='Empirical asymmetry coefficient p4',
+            value_spec=AttributeSpec(
+                value=0.4,
+                type_=DataTypes.NUMERIC,
+                default=0.4,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_empir_4',
+                ]
+            ),
+        )
+
+    @property
+    def asym_empir_1(self) -> Parameter:
+        """Get empirical asymmetry coefficient p1."""
+        return self._asym_empir_1
+
+    @asym_empir_1.setter
+    def asym_empir_1(self, value: float) -> None:
+        """Set empirical asymmetry coefficient p1."""
+        self._asym_empir_1.value = value
+
+    @property
+    def asym_empir_2(self) -> Parameter:
+        """Get empirical asymmetry coefficient p2."""
+        return self._asym_empir_2
+
+    @asym_empir_2.setter
+    def asym_empir_2(self, value: float) -> None:
+        """Set empirical asymmetry coefficient p2."""
+        self._asym_empir_2.value = value
+
+    @property
+    def asym_empir_3(self) -> Parameter:
+        """Get empirical asymmetry coefficient p3."""
+        return self._asym_empir_3
+
+    @asym_empir_3.setter
+    def asym_empir_3(self, value: float) -> None:
+        """Set empirical asymmetry coefficient p3."""
+        self._asym_empir_3.value = value
+
+    @property
+    def asym_empir_4(self) -> Parameter:
+        """Get empirical asymmetry coefficient p4."""
+        return self._asym_empir_4
+
+    @asym_empir_4.setter
+    def asym_empir_4(self, value: float) -> None:
+        """Set empirical asymmetry coefficient p4."""
+        self._asym_empir_4.value = value
+
+
+class FcjAsymmetryMixin:
+    """Mixin that adds Finger–Cox–Jephcoat (FCJ) asymmetry params."""
+
+    def _add_fcj_asymmetry(self) -> None:
+        """Create FCJ asymmetry parameters."""
+        self._asym_fcj_1: Parameter = Parameter(
+            name='asym_fcj_1',
+            description='Finger-Cox-Jephcoat asymmetry parameter 1',
+            value_spec=AttributeSpec(
+                value=0.01,
+                type_=DataTypes.NUMERIC,
+                default=0.01,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_fcj_1',
+                ]
+            ),
+        )
+        self._asym_fcj_2: Parameter = Parameter(
+            name='asym_fcj_2',
+            description='Finger-Cox-Jephcoat asymmetry parameter 2',
+            value_spec=AttributeSpec(
+                value=0.02,
+                type_=DataTypes.NUMERIC,
+                default=0.02,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_fcj_2',
+                ]
+            ),
+        )
+
+    @property
+    def asym_fcj_1(self) -> Parameter:
+        """Get FCJ asymmetry parameter 1."""
+        return self._asym_fcj_1
+
+    @asym_fcj_1.setter
+    def asym_fcj_1(self, value: float) -> None:
+        """Set FCJ asymmetry parameter 1."""
+        self._asym_fcj_1.value = value
+
+    @property
+    def asym_fcj_2(self) -> Parameter:
+        """Get FCJ asymmetry parameter 2."""
+        return self._asym_fcj_2
+
+    @asym_fcj_2.setter
+    def asym_fcj_2(self, value: float) -> None:
+        """Set FCJ asymmetry parameter 2."""
+        self._asym_fcj_2.value = value
diff --git a/src/easydiffraction/experiments/categories/peak/factory.py b/src/easydiffraction/experiments/categories/peak/factory.py
new file mode 100644
index 00000000..d96092e9
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/factory.py
@@ -0,0 +1,130 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from typing import Optional
+
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import PeakProfileTypeEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+
+# TODO: Consider inheriting from FactoryBase
+class PeakFactory:
+    """Factory for creating peak profile objects.
+
+    Lazily imports implementations to avoid circular dependencies and
+    selects the appropriate class based on scattering type, beam mode
+    and requested profile type.
+    """
+
+    ST = ScatteringTypeEnum
+    BM = BeamModeEnum
+    PPT = PeakProfileTypeEnum
+    _supported = None  # type: ignore[var-annotated]
+
+    @classmethod
+    def _supported_map(cls):
+        """Return nested mapping of supported profile classes.
+
+        Structure:
+            ``{ScatteringType: {BeamMode: {ProfileType: Class}}}``.
+        """
+        # Lazy import to avoid circular imports between
+        # base and cw/tof/pdf modules
+        if cls._supported is None:
+            from easydiffraction.experiments.categories.peak.cwl import CwlPseudoVoigt as CwPv
+            from easydiffraction.experiments.categories.peak.cwl import (
+                CwlSplitPseudoVoigt as CwSpv,
+            )
+            from easydiffraction.experiments.categories.peak.cwl import (
+                CwlThompsonCoxHastings as CwTch,
+            )
+            from easydiffraction.experiments.categories.peak.tof import TofPseudoVoigt as TofPv
+            from easydiffraction.experiments.categories.peak.tof import (
+                TofPseudoVoigtBackToBack as TofBtb,
+            )
+            from easydiffraction.experiments.categories.peak.tof import (
+                TofPseudoVoigtIkedaCarpenter as TofIc,
+            )
+            from easydiffraction.experiments.categories.peak.total import (
+                TotalGaussianDampedSinc as PdfGds,
+            )
+
+            cls._supported = {
+                cls.ST.BRAGG: {
+                    cls.BM.CONSTANT_WAVELENGTH: {
+                        cls.PPT.PSEUDO_VOIGT: CwPv,
+                        cls.PPT.SPLIT_PSEUDO_VOIGT: CwSpv,
+                        cls.PPT.THOMPSON_COX_HASTINGS: CwTch,
+                    },
+                    cls.BM.TIME_OF_FLIGHT: {
+                        cls.PPT.PSEUDO_VOIGT: TofPv,
+                        cls.PPT.PSEUDO_VOIGT_IKEDA_CARPENTER: TofIc,
+                        cls.PPT.PSEUDO_VOIGT_BACK_TO_BACK: TofBtb,
+                    },
+                },
+                cls.ST.TOTAL: {
+                    cls.BM.CONSTANT_WAVELENGTH: {
+                        cls.PPT.GAUSSIAN_DAMPED_SINC: PdfGds,
+                    },
+                    cls.BM.TIME_OF_FLIGHT: {
+                        cls.PPT.GAUSSIAN_DAMPED_SINC: PdfGds,
+                    },
+                },
+            }
+        return cls._supported
+
+    @classmethod
+    def create(
+        cls,
+        scattering_type: Optional[ScatteringTypeEnum] = None,
+        beam_mode: Optional[BeamModeEnum] = None,
+        profile_type: Optional[PeakProfileTypeEnum] = None,
+    ):
+        """Instantiate a peak profile for the given configuration.
+
+        Args:
+            scattering_type: Bragg or Total. Defaults to library
+                default.
+            beam_mode: CW or TOF. Defaults to library default.
+            profile_type: Concrete profile within the mode. If omitted,
+                a sensible default is chosen based on the other args.
+
+        Returns:
+            A newly created peak profile object.
+
+        Raises:
+            ValueError: If a requested option is not supported.
+        """
+        if beam_mode is None:
+            beam_mode = BeamModeEnum.default()
+        if scattering_type is None:
+            scattering_type = ScatteringTypeEnum.default()
+        if profile_type is None:
+            profile_type = PeakProfileTypeEnum.default(scattering_type, beam_mode)
+        supported = cls._supported_map()
+        supported_scattering_types = list(supported.keys())
+        if scattering_type not in supported_scattering_types:
+            raise ValueError(
+                f"Unsupported scattering type: '{scattering_type}'.\n"
+                f'Supported scattering types: {supported_scattering_types}'
+            )
+
+        supported_beam_modes = list(supported[scattering_type].keys())
+        if beam_mode not in supported_beam_modes:
+            raise ValueError(
+                f"Unsupported beam mode: '{beam_mode}' for scattering type: "
+                f"'{scattering_type}'.\n Supported beam modes: '{supported_beam_modes}'"
+            )
+
+        supported_profile_types = list(supported[scattering_type][beam_mode].keys())
+        if profile_type not in supported_profile_types:
+            raise ValueError(
+                f"Unsupported profile type '{profile_type}' for beam mode '{beam_mode}'.\n"
+                f'Supported profile types: {supported_profile_types}'
+            )
+
+        peak_class = supported[scattering_type][beam_mode][profile_type]
+        peak_obj = peak_class()
+
+        return peak_obj
diff --git a/src/easydiffraction/experiments/categories/peak/tof.py b/src/easydiffraction/experiments/categories/peak/tof.py
new file mode 100644
index 00000000..c6a44512
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/tof.py
@@ -0,0 +1,44 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Time-of-flight peak profile classes."""
+
+from easydiffraction.experiments.categories.peak.base import PeakBase
+from easydiffraction.experiments.categories.peak.tof_mixins import IkedaCarpenterAsymmetryMixin
+from easydiffraction.experiments.categories.peak.tof_mixins import TofBroadeningMixin
+
+
+class TofPseudoVoigt(
+    PeakBase,
+    TofBroadeningMixin,
+):
+    """Time-of-flight pseudo-Voigt peak shape."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_time_of_flight_broadening()
+
+
+class TofPseudoVoigtIkedaCarpenter(
+    PeakBase,
+    TofBroadeningMixin,
+    IkedaCarpenterAsymmetryMixin,
+):
+    """TOF pseudo-Voigt with Ikeda–Carpenter asymmetry."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_time_of_flight_broadening()
+        self._add_ikeda_carpenter_asymmetry()
+
+
+class TofPseudoVoigtBackToBack(
+    PeakBase,
+    TofBroadeningMixin,
+    IkedaCarpenterAsymmetryMixin,
+):
+    """TOF back-to-back pseudo-Voigt with asymmetry."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_time_of_flight_broadening()
+        self._add_ikeda_carpenter_asymmetry()
diff --git a/src/easydiffraction/experiments/categories/peak/tof_mixins.py b/src/easydiffraction/experiments/categories/peak/tof_mixins.py
new file mode 100644
index 00000000..47fd4e41
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/tof_mixins.py
@@ -0,0 +1,293 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Time-of-flight (TOF) peak-profile mixins.
+
+Defines mixins that add Gaussian/Lorentz broadening, mixing, and
+Ikeda–Carpenter asymmetry parameters used by TOF peak shapes.
+"""
+
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class TofBroadeningMixin:
+    """Mixin that adds TOF Gaussian/Lorentz broadening and mixing
+    terms.
+    """
+
+    def _add_time_of_flight_broadening(self) -> None:
+        """Create TOF broadening and mixing parameters."""
+        self._broad_gauss_sigma_0: Parameter = Parameter(
+            name='gauss_sigma_0',
+            description='Gaussian broadening coefficient (instrumental resolution)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs²',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.gauss_sigma_0',
+                ]
+            ),
+        )
+        self._broad_gauss_sigma_1: Parameter = Parameter(
+            name='gauss_sigma_1',
+            description='Gaussian broadening coefficient (dependent on d-spacing)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs/Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.gauss_sigma_1',
+                ]
+            ),
+        )
+        self._broad_gauss_sigma_2: Parameter = Parameter(
+            name='gauss_sigma_2',
+            description='Gaussian broadening coefficient (instrument-dependent term)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs²/Ų',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.gauss_sigma_2',
+                ]
+            ),
+        )
+        self._broad_lorentz_gamma_0: Parameter = Parameter(
+            name='lorentz_gamma_0',
+            description='Lorentzian broadening coefficient (dependent on microstrain effects)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.lorentz_gamma_0',
+                ]
+            ),
+        )
+        self._broad_lorentz_gamma_1: Parameter = Parameter(
+            name='lorentz_gamma_1',
+            description='Lorentzian broadening coefficient (dependent on d-spacing)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs/Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.lorentz_gamma_1',
+                ]
+            ),
+        )
+        self._broad_lorentz_gamma_2: Parameter = Parameter(
+            name='lorentz_gamma_2',
+            description='Lorentzian broadening coefficient (instrument-dependent term)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='µs²/Ų',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.lorentz_gamma_2',
+                ]
+            ),
+        )
+        self._broad_mix_beta_0: Parameter = Parameter(
+            name='mix_beta_0',
+            description='Mixing parameter. Defines the ratio of Gaussian '
+            'to Lorentzian contributions in TOF profiles',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.mix_beta_0',
+                ]
+            ),
+        )
+        self._broad_mix_beta_1: Parameter = Parameter(
+            name='mix_beta_1',
+            description='Mixing parameter. Defines the ratio of Gaussian '
+            'to Lorentzian contributions in TOF profiles',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='deg',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.mix_beta_1',
+                ]
+            ),
+        )
+
+    @property
+    def broad_gauss_sigma_0(self) -> Parameter:
+        """Get Gaussian sigma_0 parameter."""
+        return self._broad_gauss_sigma_0
+
+    @broad_gauss_sigma_0.setter
+    def broad_gauss_sigma_0(self, value: float) -> None:
+        """Set Gaussian sigma_0 parameter."""
+        self._broad_gauss_sigma_0.value = value
+
+    @property
+    def broad_gauss_sigma_1(self) -> Parameter:
+        """Get Gaussian sigma_1 parameter."""
+        return self._broad_gauss_sigma_1
+
+    @broad_gauss_sigma_1.setter
+    def broad_gauss_sigma_1(self, value: float) -> None:
+        """Set Gaussian sigma_1 parameter."""
+        self._broad_gauss_sigma_1.value = value
+
+    @property
+    def broad_gauss_sigma_2(self) -> Parameter:
+        """Get Gaussian sigma_2 parameter."""
+        return self._broad_gauss_sigma_2
+
+    @broad_gauss_sigma_2.setter
+    def broad_gauss_sigma_2(self, value: float) -> None:
+        """Set Gaussian sigma_2 parameter."""
+        self._broad_gauss_sigma_2.value = value
+
+    @property
+    def broad_lorentz_gamma_0(self) -> Parameter:
+        """Get Lorentz gamma_0 parameter."""
+        return self._broad_lorentz_gamma_0
+
+    @broad_lorentz_gamma_0.setter
+    def broad_lorentz_gamma_0(self, value: float) -> None:
+        """Set Lorentz gamma_0 parameter."""
+        self._broad_lorentz_gamma_0.value = value
+
+    @property
+    def broad_lorentz_gamma_1(self) -> Parameter:
+        """Get Lorentz gamma_1 parameter."""
+        return self._broad_lorentz_gamma_1
+
+    @broad_lorentz_gamma_1.setter
+    def broad_lorentz_gamma_1(self, value: float) -> None:
+        """Set Lorentz gamma_1 parameter."""
+        self._broad_lorentz_gamma_1.value = value
+
+    @property
+    def broad_lorentz_gamma_2(self) -> Parameter:
+        """Get Lorentz gamma_2 parameter."""
+        return self._broad_lorentz_gamma_2
+
+    @broad_lorentz_gamma_2.setter
+    def broad_lorentz_gamma_2(self, value: float) -> None:
+        """Set Lorentz gamma_2 parameter."""
+        self._broad_lorentz_gamma_2.value = value
+
+    @property
+    def broad_mix_beta_0(self) -> Parameter:
+        """Get mixing parameter beta_0."""
+        return self._broad_mix_beta_0
+
+    @broad_mix_beta_0.setter
+    def broad_mix_beta_0(self, value: float) -> None:
+        """Set mixing parameter beta_0."""
+        self._broad_mix_beta_0.value = value
+
+    @property
+    def broad_mix_beta_1(self) -> Parameter:
+        """Get mixing parameter beta_1."""
+        return self._broad_mix_beta_1
+
+    @broad_mix_beta_1.setter
+    def broad_mix_beta_1(self, value: float) -> None:
+        """Set mixing parameter beta_1."""
+        self._broad_mix_beta_1.value = value
+
+
+class IkedaCarpenterAsymmetryMixin:
+    """Mixin that adds Ikeda–Carpenter asymmetry parameters."""
+
+    def _add_ikeda_carpenter_asymmetry(self) -> None:
+        """Create Ikeda–Carpenter asymmetry parameters alpha_0 and
+        alpha_1.
+        """
+        self._asym_alpha_0: Parameter = Parameter(
+            name='asym_alpha_0',
+            description='Ikeda-Carpenter asymmetry parameter α₀',
+            value_spec=AttributeSpec(
+                value=0.01,
+                type_=DataTypes.NUMERIC,
+                default=0.01,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_alpha_0',
+                ]
+            ),
+        )
+        self._asym_alpha_1: Parameter = Parameter(
+            name='asym_alpha_1',
+            description='Ikeda-Carpenter asymmetry parameter α₁',
+            value_spec=AttributeSpec(
+                value=0.02,
+                type_=DataTypes.NUMERIC,
+                default=0.02,
+                content_validator=RangeValidator(),
+            ),
+            units='',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.asym_alpha_1',
+                ]
+            ),
+        )
+
+    @property
+    def asym_alpha_0(self) -> Parameter:
+        """Get Ikeda–Carpenter asymmetry alpha_0."""
+        return self._asym_alpha_0
+
+    @asym_alpha_0.setter
+    def asym_alpha_0(self, value: float) -> None:
+        """Set Ikeda–Carpenter asymmetry alpha_0."""
+        self._asym_alpha_0.value = value
+
+    @property
+    def asym_alpha_1(self) -> Parameter:
+        """Get Ikeda–Carpenter asymmetry alpha_1."""
+        return self._asym_alpha_1
+
+    @asym_alpha_1.setter
+    def asym_alpha_1(self, value: float) -> None:
+        """Set Ikeda–Carpenter asymmetry alpha_1."""
+        self._asym_alpha_1.value = value
diff --git a/src/easydiffraction/experiments/categories/peak/total.py b/src/easydiffraction/experiments/categories/peak/total.py
new file mode 100644
index 00000000..3b843c2e
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/total.py
@@ -0,0 +1,17 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Total-scattering (PDF) peak profile classes."""
+
+from easydiffraction.experiments.categories.peak.base import PeakBase
+from easydiffraction.experiments.categories.peak.total_mixins import TotalBroadeningMixin
+
+
+class TotalGaussianDampedSinc(
+    PeakBase,
+    TotalBroadeningMixin,
+):
+    """Gaussian-damped sinc peak for total scattering (PDF)."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._add_pair_distribution_function_broadening()
diff --git a/src/easydiffraction/experiments/categories/peak/total_mixins.py b/src/easydiffraction/experiments/categories/peak/total_mixins.py
new file mode 100644
index 00000000..4d9b5877
--- /dev/null
+++ b/src/easydiffraction/experiments/categories/peak/total_mixins.py
@@ -0,0 +1,181 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Total scattering/PDF peak-profile mixins.
+
+Adds damping, broadening, sharpening and envelope parameters used in
+pair distribution function (PDF) modeling.
+"""
+
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class TotalBroadeningMixin:
+    """Mixin adding PDF broadening/damping/sharpening parameters."""
+
+    def _add_pair_distribution_function_broadening(self):
+        """Create PDF parameters: damp_q, broad_q, cutoff_q,
+        sharp deltas, and particle diameter envelope.
+        """
+        self._damp_q: Parameter = Parameter(
+            name='damp_q',
+            description='Instrumental Q-resolution damping factor '
+            '(affects high-r PDF peak amplitude)',
+            value_spec=AttributeSpec(
+                value=0.05,
+                type_=DataTypes.NUMERIC,
+                default=0.05,
+                content_validator=RangeValidator(),
+            ),
+            units='Å⁻¹',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.damp_q',
+                ]
+            ),
+        )
+        self._broad_q: Parameter = Parameter(
+            name='broad_q',
+            description='Quadratic PDF peak broadening coefficient '
+            '(thermal and model uncertainty contribution)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='Å⁻²',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.broad_q',
+                ]
+            ),
+        )
+        self._cutoff_q: Parameter = Parameter(
+            name='cutoff_q',
+            description='Q-value cutoff applied to model PDF for Fourier '
+            'transform (controls real-space resolution)',
+            value_spec=AttributeSpec(
+                value=25.0,
+                type_=DataTypes.NUMERIC,
+                default=25.0,
+                content_validator=RangeValidator(),
+            ),
+            units='Å⁻¹',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.cutoff_q',
+                ]
+            ),
+        )
+        self._sharp_delta_1: Parameter = Parameter(
+            name='sharp_delta_1',
+            description='PDF peak sharpening coefficient (1/r dependence)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.sharp_delta_1',
+                ]
+            ),
+        )
+        self._sharp_delta_2: Parameter = Parameter(
+            name='sharp_delta_2',
+            description='PDF peak sharpening coefficient (1/r² dependence)',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='Ų',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.sharp_delta_2',
+                ]
+            ),
+        )
+        self._damp_particle_diameter: Parameter = Parameter(
+            name='damp_particle_diameter',
+            description='Particle diameter for spherical envelope damping correction in PDF',
+            value_spec=AttributeSpec(
+                value=0.0,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            units='Å',
+            cif_handler=CifHandler(
+                names=[
+                    '_peak.damp_particle_diameter',
+                ]
+            ),
+        )
+
+    @property
+    def damp_q(self) -> Parameter:
+        """Get Q-resolution damping factor."""
+        return self._damp_q
+
+    @damp_q.setter
+    def damp_q(self, value: float) -> None:
+        """Set Q-resolution damping factor."""
+        self._damp_q.value = value
+
+    @property
+    def broad_q(self) -> Parameter:
+        """Get quadratic PDF broadening coefficient."""
+        return self._broad_q
+
+    @broad_q.setter
+    def broad_q(self, value: float) -> None:
+        """Set quadratic PDF broadening coefficient."""
+        self._broad_q.value = value
+
+    @property
+    def cutoff_q(self) -> Parameter:
+        """Get Q cutoff used for Fourier transform."""
+        return self._cutoff_q
+
+    @cutoff_q.setter
+    def cutoff_q(self, value: float) -> None:
+        """Set Q cutoff used for Fourier transform."""
+        self._cutoff_q.value = value
+
+    @property
+    def sharp_delta_1(self) -> Parameter:
+        """Get sharpening coefficient with 1/r dependence."""
+        return self._sharp_delta_1
+
+    @sharp_delta_1.setter
+    def sharp_delta_1(self, value: float) -> None:
+        """Set sharpening coefficient with 1/r dependence."""
+        self._sharp_delta_1.value = value
+
+    @property
+    def sharp_delta_2(self) -> Parameter:
+        """Get sharpening coefficient with 1/r^2 dependence."""
+        return self._sharp_delta_2
+
+    @sharp_delta_2.setter
+    def sharp_delta_2(self, value: float) -> None:
+        """Set sharpening coefficient with 1/r^2 dependence."""
+        self._sharp_delta_2.value = value
+
+    @property
+    def damp_particle_diameter(self) -> Parameter:
+        """Get particle diameter for spherical envelope damping."""
+        return self._damp_particle_diameter
+
+    @damp_particle_diameter.setter
+    def damp_particle_diameter(self, value: float) -> None:
+        """Set particle diameter for spherical envelope damping."""
+        self._damp_particle_diameter.value = value
diff --git a/src/easydiffraction/experiments/collections/background.py b/src/easydiffraction/experiments/collections/background.py
deleted file mode 100644
index 56c42298..00000000
--- a/src/easydiffraction/experiments/collections/background.py
+++ /dev/null
@@ -1,241 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from abc import abstractmethod
-from enum import Enum
-from typing import Dict
-from typing import List
-from typing import Optional
-from typing import Type
-from typing import Union
-
-import numpy as np
-from numpy.polynomial.chebyshev import chebval
-from scipy.interpolate import interp1d
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.core.objects import Parameter
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.formatting import warning
-from easydiffraction.utils.utils import render_table
-
-
-# TODO: rename to LineSegment
-class Point(Component):
-    @property
-    def category_key(self) -> str:
-        return 'background'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'pd_background'
-
-    def __init__(
-        self,
-        x: float,
-        y: float,
-    ):
-        super().__init__()
-
-        self.x = Descriptor(
-            value=x,
-            name='x',
-            cif_name='line_segment_X',
-            description='X-coordinates used to create many straight-line segments '
-            'representing the background in a calculated diffractogram.',
-        )
-        self.y = Parameter(
-            value=y,  # TODO: rename to intensity
-            name='y',  # TODO: rename to intensity
-            cif_name='line_segment_intensity',
-            description='Intensity used to create many straight-line segments '
-            'representing the background in a calculated diffractogram',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = str(x)
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class PolynomialTerm(Component):
-    # TODO: make consistency in where to place the following properties:
-    #  before or after the __init__ method
-    @property
-    def category_key(self) -> str:
-        return 'background'
-
-    @property
-    def cif_category_key(self):
-        return 'pd_background'
-
-    def __init__(
-        self,
-        order: int,
-        coef: float,
-    ) -> None:
-        super().__init__()
-
-        self.order = Descriptor(
-            value=order,
-            name='chebyshev_order',
-            cif_name='Chebyshev_order',
-            description='The value of an order used in a Chebyshev polynomial '
-            'equation representing the background in a calculated diffractogram',
-        )
-        self.coef = Parameter(
-            value=coef,
-            name='chebyshev_coef',
-            cif_name='Chebyshev_coef',
-            description='The value of a coefficient used in a Chebyshev polynomial '
-            'equation representing the background in a calculated diffractogram',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = str(order)
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class BackgroundBase(Collection):
-    @property
-    def _type(self) -> str:
-        return 'category'  # datablock or category
-
-    @abstractmethod
-    def calculate(self, x_data: np.ndarray) -> np.ndarray:
-        pass
-
-    @abstractmethod
-    def show(self) -> None:
-        pass
-
-
-class LineSegmentBackground(BackgroundBase):
-    _description: str = 'Linear interpolation between points'
-
-    @property
-    def _child_class(self) -> Type[Point]:
-        return Point
-
-    def calculate(self, x_data: np.ndarray) -> np.ndarray:
-        """Interpolate background points over x_data."""
-        if not self._items:
-            print(warning('No background points found. Setting background to zero.'))
-            return np.zeros_like(x_data)
-
-        background_x = np.array([point.x.value for point in self._items.values()])
-        background_y = np.array([point.y.value for point in self._items.values()])
-        interp_func = interp1d(
-            background_x,
-            background_y,
-            kind='linear',
-            bounds_error=False,
-            fill_value=(
-                background_y[0],
-                background_y[-1],
-            ),
-        )
-        y_data = interp_func(x_data)
-        return y_data
-
-    def show(self) -> None:
-        columns_headers: List[str] = ['X', 'Intensity']
-        columns_alignment = ['left', 'left']
-        columns_data: List[List[float]] = []
-        for point in self._items.values():
-            x = point.x.value
-            y = point.y.value
-            columns_data.append([x, y])
-
-        print(paragraph('Line-segment background points'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
-
-
-class ChebyshevPolynomialBackground(BackgroundBase):
-    _description: str = 'Chebyshev polynomial background'
-
-    @property
-    def _child_class(self) -> Type[PolynomialTerm]:
-        return PolynomialTerm
-
-    def calculate(self, x_data: np.ndarray) -> np.ndarray:
-        """Evaluate polynomial background over x_data."""
-        if not self._items:
-            print(warning('No background points found. Setting background to zero.'))
-            return np.zeros_like(x_data)
-
-        u = (x_data - x_data.min()) / (x_data.max() - x_data.min()) * 2 - 1  # scale to [-1, 1]
-        coefs = [term.coef.value for term in self._items.values()]
-        y_data = chebval(u, coefs)
-        return y_data
-
-    def show(self) -> None:
-        columns_headers: List[str] = ['Order', 'Coefficient']
-        columns_alignment = ['left', 'left']
-        columns_data: List[List[Union[int, float]]] = []
-        for term in self._items.values():
-            order = term.order.value
-            coef = term.coef.value
-            columns_data.append([order, coef])
-
-        print(paragraph('Chebyshev polynomial background terms'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
-
-
-class BackgroundTypeEnum(str, Enum):
-    LINE_SEGMENT = 'line-segment'
-    CHEBYSHEV = 'chebyshev polynomial'
-
-    @classmethod
-    def default(cls) -> 'BackgroundTypeEnum':
-        return cls.LINE_SEGMENT
-
-    def description(self) -> str:
-        if self is BackgroundTypeEnum.LINE_SEGMENT:
-            return 'Linear interpolation between points'
-        elif self is BackgroundTypeEnum.CHEBYSHEV:
-            return 'Chebyshev polynomial background'
-
-
-class BackgroundFactory:
-    BT = BackgroundTypeEnum
-    _supported: Dict[BT, Type[BackgroundBase]] = {
-        BT.LINE_SEGMENT: LineSegmentBackground,
-        BT.CHEBYSHEV: ChebyshevPolynomialBackground,
-    }
-
-    @classmethod
-    def create(
-        cls,
-        background_type: Optional[BackgroundTypeEnum] = None,
-    ) -> BackgroundBase:
-        if background_type is None:
-            background_type = BackgroundTypeEnum.default()
-
-        if background_type not in cls._supported:
-            supported_types = list(cls._supported.keys())
-
-            raise ValueError(
-                f"Unsupported background type: '{background_type}'.\n"
-                f' Supported background types: {[bt.value for bt in supported_types]}'
-            )
-
-        background_class = cls._supported[background_type]
-        return background_class()
diff --git a/src/easydiffraction/experiments/collections/excluded_regions.py b/src/easydiffraction/experiments/collections/excluded_regions.py
deleted file mode 100644
index 68057e0a..00000000
--- a/src/easydiffraction/experiments/collections/excluded_regions.py
+++ /dev/null
@@ -1,98 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import List
-from typing import Type
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.core.objects import Parameter
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.utils import render_table
-
-
-class ExcludedRegion(Component):
-    @property
-    def category_key(self) -> str:
-        return 'excluded_regions'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'excluded_region'
-
-    def __init__(
-        self,
-        start: float,
-        end: float,
-    ):
-        super().__init__()
-
-        self.start = Descriptor(
-            value=start,
-            name='start',
-            cif_name='start',
-            description='Start of the excluded region.',
-        )
-        self.end = Parameter(
-            value=end,
-            name='end',
-            cif_name='end',
-            description='End of the excluded region.',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = f'{start}-{end}'
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class ExcludedRegions(Collection):
-    """Collection of ExcludedRegion instances."""
-
-    @property
-    def _type(self) -> str:
-        return 'category'  # datablock or category
-
-    @property
-    def _child_class(self) -> Type[ExcludedRegion]:
-        return ExcludedRegion
-
-    def on_item_added(self, item: ExcludedRegion) -> None:
-        """Mark excluded points in the experiment pattern when a new
-        region is added.
-        """
-        datastore = self._parent.datastore
-
-        # Boolean mask for points within the new excluded region
-        in_region = (datastore.full_x >= item.start.value) & (datastore.full_x <= item.end.value)
-
-        # Update the exclusion mask
-        datastore.excluded[in_region] = True
-
-        # Update the excluded points in the datastore
-        datastore.x = datastore.full_x[~datastore.excluded]
-        datastore.meas = datastore.full_meas[~datastore.excluded]
-        datastore.meas_su = datastore.full_meas_su[~datastore.excluded]
-
-    def show(self) -> None:
-        # TODO: Consider moving this to the base class
-        #  to avoid code duplication with implementations in Background,
-        #  etc. Consider using parameter names as column headers
-        columns_headers: List[str] = ['start', 'end']
-        columns_alignment = ['left', 'left']
-        columns_data: List[List[float]] = []
-        for region in self._items.values():
-            start = region.start.value
-            end = region.end.value
-            columns_data.append([start, end])
-
-        print(paragraph('Excluded regions'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
diff --git a/src/easydiffraction/experiments/collections/linked_phases.py b/src/easydiffraction/experiments/collections/linked_phases.py
deleted file mode 100644
index ad29f203..00000000
--- a/src/easydiffraction/experiments/collections/linked_phases.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Type
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.core.objects import Parameter
-
-
-class LinkedPhase(Component):
-    @property
-    def category_key(self) -> str:
-        return 'linked_phases'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'pd_phase_block'
-
-    def __init__(
-        self,
-        id: str,
-        scale: float,
-    ):
-        super().__init__()
-
-        self.id = Descriptor(
-            value=id,
-            name='id',
-            cif_name='id',
-            description='Identifier of the linked phase.',
-        )
-        self.scale = Parameter(
-            value=scale,
-            name='scale',
-            cif_name='scale',
-            description='Scale factor of the linked phase.',
-        )
-
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = id
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class LinkedPhases(Collection):
-    """Collection of LinkedPhase instances."""
-
-    @property
-    def _type(self) -> str:
-        return 'category'  # datablock or category
-
-    @property
-    def _child_class(self) -> Type[LinkedPhase]:
-        return LinkedPhase
diff --git a/src/easydiffraction/experiments/components/experiment_type.py b/src/easydiffraction/experiments/components/experiment_type.py
deleted file mode 100644
index a467a43b..00000000
--- a/src/easydiffraction/experiments/components/experiment_type.py
+++ /dev/null
@@ -1,119 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from enum import Enum
-
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-
-
-class SampleFormEnum(str, Enum):
-    POWDER = 'powder'
-    SINGLE_CRYSTAL = 'single crystal'
-
-    @classmethod
-    def default(cls) -> 'SampleFormEnum':
-        return cls.POWDER
-
-    def description(self) -> str:
-        if self is SampleFormEnum.POWDER:
-            return 'Powdered or polycrystalline sample.'
-        elif self is SampleFormEnum.SINGLE_CRYSTAL:
-            return 'Single crystal sample.'
-
-
-class ScatteringTypeEnum(str, Enum):
-    BRAGG = 'bragg'
-    TOTAL = 'total'
-
-    @classmethod
-    def default(cls) -> 'ScatteringTypeEnum':
-        return cls.BRAGG
-
-    def description(self) -> str:
-        if self is ScatteringTypeEnum.BRAGG:
-            return 'Bragg diffraction for conventional structure refinement.'
-        elif self is ScatteringTypeEnum.TOTAL:
-            return 'Total scattering for pair distribution function analysis (PDF).'
-
-
-class RadiationProbeEnum(str, Enum):
-    NEUTRON = 'neutron'
-    XRAY = 'xray'
-
-    @classmethod
-    def default(cls) -> 'RadiationProbeEnum':
-        return cls.NEUTRON
-
-    def description(self) -> str:
-        if self is RadiationProbeEnum.NEUTRON:
-            return 'Neutron diffraction.'
-        elif self is RadiationProbeEnum.XRAY:
-            return 'X-ray diffraction.'
-
-
-class BeamModeEnum(str, Enum):
-    CONSTANT_WAVELENGTH = 'constant wavelength'
-    TIME_OF_FLIGHT = 'time-of-flight'
-
-    @classmethod
-    def default(cls) -> 'BeamModeEnum':
-        return cls.CONSTANT_WAVELENGTH
-
-    def description(self) -> str:
-        if self is BeamModeEnum.CONSTANT_WAVELENGTH:
-            return 'Constant wavelength (CW) diffraction.'
-        elif self is BeamModeEnum.TIME_OF_FLIGHT:
-            return 'Time-of-flight (TOF) diffraction.'
-
-
-class ExperimentType(Component):
-    @property
-    def cif_category_key(self) -> str:
-        return 'expt_type'
-
-    @property
-    def category_key(self) -> str:
-        return 'expt_type'
-
-    def __init__(
-        self,
-        sample_form: str,
-        beam_mode: str,
-        radiation_probe: str,
-        scattering_type: str,
-    ):
-        super().__init__()
-
-        self.sample_form: Descriptor = Descriptor(
-            value=sample_form,
-            name='sample_form',
-            cif_name='sample_form',
-            description='Specifies whether the diffraction data corresponds to '
-            'powder diffraction or single crystal diffraction',
-        )
-        self.beam_mode: Descriptor = Descriptor(
-            value=beam_mode,
-            name='beam_mode',
-            cif_name='beam_mode',
-            description='Defines whether the measurement is performed with a '
-            'constant wavelength (CW) or time-of-flight (TOF) method',
-        )
-        self.radiation_probe: Descriptor = Descriptor(
-            value=radiation_probe,
-            name='radiation_probe',
-            cif_name='radiation_probe',
-            description='Specifies whether the measurement uses neutrons or X-rays',
-        )
-        self.scattering_type: Descriptor = Descriptor(
-            value=scattering_type,
-            name='scattering_type',
-            cif_name='scattering_type',
-            description='Specifies whether the experiment uses Bragg scattering '
-            '(for conventional structure refinement) or total scattering '
-            '(for pair distribution function analysis - PDF)',
-        )
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
diff --git a/src/easydiffraction/experiments/components/instrument.py b/src/easydiffraction/experiments/components/instrument.py
deleted file mode 100644
index 235fffae..00000000
--- a/src/easydiffraction/experiments/components/instrument.py
+++ /dev/null
@@ -1,141 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Optional
-
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Parameter
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import ScatteringTypeEnum
-
-
-class InstrumentBase(Component):
-    @property
-    def category_key(self) -> str:
-        return 'instrument'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'instr'
-
-
-class ConstantWavelengthInstrument(InstrumentBase):
-    def __init__(
-        self,
-        setup_wavelength: float = 1.5406,
-        calib_twotheta_offset: float = 0.0,
-    ) -> None:
-        super().__init__()
-
-        self.setup_wavelength: Parameter = Parameter(
-            value=setup_wavelength,
-            name='wavelength',
-            cif_name='wavelength',
-            units='Å',
-            description='Incident neutron or X-ray wavelength',
-        )
-        self.calib_twotheta_offset: Parameter = Parameter(
-            value=calib_twotheta_offset,
-            name='twotheta_offset',
-            cif_name='2theta_offset',
-            units='deg',
-            description='Instrument misalignment offset',
-        )
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class TimeOfFlightInstrument(InstrumentBase):
-    def __init__(
-        self,
-        setup_twotheta_bank: float = 150.0,
-        calib_d_to_tof_offset: float = 0.0,
-        calib_d_to_tof_linear: float = 10000.0,
-        calib_d_to_tof_quad: float = -0.00001,
-        calib_d_to_tof_recip: float = 0.0,
-    ) -> None:
-        super().__init__()
-
-        self.setup_twotheta_bank: Parameter = Parameter(
-            value=setup_twotheta_bank,
-            name='twotheta_bank',
-            cif_name='2theta_bank',
-            units='deg',
-            description='Detector bank position',
-        )
-        self.calib_d_to_tof_offset: Parameter = Parameter(
-            value=calib_d_to_tof_offset,
-            name='d_to_tof_offset',
-            cif_name='d_to_tof_offset',
-            units='µs',
-            description='TOF offset',
-        )
-        self.calib_d_to_tof_linear: Parameter = Parameter(
-            value=calib_d_to_tof_linear,
-            name='d_to_tof_linear',
-            cif_name='d_to_tof_linear',
-            units='µs/Å',
-            description='TOF linear conversion',
-        )
-        self.calib_d_to_tof_quad: Parameter = Parameter(
-            value=calib_d_to_tof_quad,
-            name='d_to_tof_quad',
-            cif_name='d_to_tof_quad',
-            units='µs/Ų',
-            description='TOF quadratic correction',
-        )
-        self.calib_d_to_tof_recip: Parameter = Parameter(
-            value=calib_d_to_tof_recip,
-            name='d_to_tof_recip',
-            cif_name='d_to_tof_recip',
-            units='µs·Å',
-            description='TOF reciprocal velocity correction',
-        )
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class InstrumentFactory:
-    ST = ScatteringTypeEnum
-    BM = BeamModeEnum
-    _supported = {
-        ST.BRAGG: {
-            BM.CONSTANT_WAVELENGTH: ConstantWavelengthInstrument,
-            BM.TIME_OF_FLIGHT: TimeOfFlightInstrument,
-        }
-    }
-
-    @classmethod
-    def create(
-        cls,
-        scattering_type: Optional[ScatteringTypeEnum] = None,
-        beam_mode: Optional[BeamModeEnum] = None,
-    ):
-        if beam_mode is None:
-            beam_mode = BeamModeEnum.default()
-        if scattering_type is None:
-            scattering_type = ScatteringTypeEnum.default()
-
-        supported_scattering_types = list(cls._supported.keys())
-        if scattering_type not in supported_scattering_types:
-            raise ValueError(
-                f"Unsupported scattering type: '{scattering_type}'.\n "
-                f'Supported scattering types: {supported_scattering_types}'
-            )
-
-        supported_beam_modes = list(cls._supported[scattering_type].keys())
-        if beam_mode not in supported_beam_modes:
-            raise ValueError(
-                f"Unsupported beam mode: '{beam_mode}' for scattering type: "
-                f"'{scattering_type}'.\n "
-                f'Supported beam modes: {supported_beam_modes}'
-            )
-
-        instrument_class = cls._supported[scattering_type][beam_mode]
-        instrument_obj = instrument_class()
-
-        return instrument_obj
diff --git a/src/easydiffraction/experiments/components/peak.py b/src/easydiffraction/experiments/components/peak.py
deleted file mode 100644
index 34c29b89..00000000
--- a/src/easydiffraction/experiments/components/peak.py
+++ /dev/null
@@ -1,466 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-from enum import Enum
-from typing import Optional
-
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Parameter
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import ScatteringTypeEnum
-
-
-class PeakProfileTypeEnum(str, Enum):
-    PSEUDO_VOIGT = 'pseudo-voigt'
-    SPLIT_PSEUDO_VOIGT = 'split pseudo-voigt'
-    THOMPSON_COX_HASTINGS = 'thompson-cox-hastings'
-    PSEUDO_VOIGT_IKEDA_CARPENTER = 'pseudo-voigt * ikeda-carpenter'
-    PSEUDO_VOIGT_BACK_TO_BACK = 'pseudo-voigt * back-to-back'
-    GAUSSIAN_DAMPED_SINC = 'gaussian-damped-sinc'
-
-    @classmethod
-    def default(
-        cls,
-        scattering_type: ScatteringTypeEnum | None = None,
-        beam_mode: BeamModeEnum | None = None,
-    ) -> 'PeakProfileTypeEnum':
-        if scattering_type is None:
-            scattering_type = ScatteringTypeEnum.default()
-        if beam_mode is None:
-            beam_mode = BeamModeEnum.default()
-
-        return {
-            (
-                ScatteringTypeEnum.BRAGG,
-                BeamModeEnum.CONSTANT_WAVELENGTH,
-            ): cls.PSEUDO_VOIGT,
-            (
-                ScatteringTypeEnum.BRAGG,
-                BeamModeEnum.TIME_OF_FLIGHT,
-            ): cls.PSEUDO_VOIGT_IKEDA_CARPENTER,
-            (
-                ScatteringTypeEnum.TOTAL,
-                BeamModeEnum.CONSTANT_WAVELENGTH,
-            ): cls.GAUSSIAN_DAMPED_SINC,
-            (
-                ScatteringTypeEnum.TOTAL,
-                BeamModeEnum.TIME_OF_FLIGHT,
-            ): cls.GAUSSIAN_DAMPED_SINC,
-        }[(scattering_type, beam_mode)]
-
-    def description(self) -> str:
-        if self is PeakProfileTypeEnum.PSEUDO_VOIGT:
-            return 'Pseudo-Voigt profile'
-        elif self is PeakProfileTypeEnum.SPLIT_PSEUDO_VOIGT:
-            return 'Split pseudo-Voigt profile with empirical asymmetry correction.'
-        elif self is PeakProfileTypeEnum.THOMPSON_COX_HASTINGS:
-            return 'Thompson-Cox-Hastings profile with FCJ asymmetry correction.'
-        elif self is PeakProfileTypeEnum.PSEUDO_VOIGT_IKEDA_CARPENTER:
-            return 'Pseudo-Voigt profile with Ikeda-Carpenter asymmetry correction.'
-        elif self is PeakProfileTypeEnum.PSEUDO_VOIGT_BACK_TO_BACK:
-            return 'Pseudo-Voigt profile with Back-to-Back Exponential asymmetry correction.'
-        elif self is PeakProfileTypeEnum.GAUSSIAN_DAMPED_SINC:
-            return 'Gaussian-damped sinc profile for pair distribution function (PDF) analysis.'
-
-
-# --- Mixins ---
-class ConstantWavelengthBroadeningMixin:
-    def _add_constant_wavelength_broadening(self) -> None:
-        self.broad_gauss_u: Parameter = Parameter(
-            value=0.01,
-            name='broad_gauss_u',
-            cif_name='broad_gauss_u',
-            units='deg²',
-            description='Gaussian broadening coefficient (dependent on '
-            'sample size and instrument resolution)',
-        )
-        self.broad_gauss_v: Parameter = Parameter(
-            value=-0.01,
-            name='broad_gauss_v',
-            cif_name='broad_gauss_v',
-            units='deg²',
-            description='Gaussian broadening coefficient (instrumental broadening contribution)',
-        )
-        self.broad_gauss_w: Parameter = Parameter(
-            value=0.02,
-            name='broad_gauss_w',
-            cif_name='broad_gauss_w',
-            units='deg²',
-            description='Gaussian broadening coefficient (instrumental broadening contribution)',
-        )
-        self.broad_lorentz_x: Parameter = Parameter(
-            value=0.0,
-            name='broad_lorentz_x',
-            cif_name='broad_lorentz_x',
-            units='deg',
-            description='Lorentzian broadening coefficient (dependent on sample strain effects)',
-        )
-        self.broad_lorentz_y: Parameter = Parameter(
-            value=0.0,
-            name='broad_lorentz_y',
-            cif_name='broad_lorentz_y',
-            units='deg',
-            description='Lorentzian broadening coefficient (dependent on '
-            'microstructural defects and strain)',
-        )
-
-
-class TimeOfFlightBroadeningMixin:
-    def _add_time_of_flight_broadening(self) -> None:
-        self.broad_gauss_sigma_0: Parameter = Parameter(
-            value=0.0,
-            name='gauss_sigma_0',
-            cif_name='gauss_sigma_0',
-            units='µs²',
-            description='Gaussian broadening coefficient (instrumental resolution)',
-        )
-        self.broad_gauss_sigma_1: Parameter = Parameter(
-            value=0.0,
-            name='gauss_sigma_1',
-            cif_name='gauss_sigma_1',
-            units='µs/Å',
-            description='Gaussian broadening coefficient (dependent on d-spacing)',
-        )
-        self.broad_gauss_sigma_2: Parameter = Parameter(
-            value=0.0,
-            name='gauss_sigma_2',
-            cif_name='gauss_sigma_2',
-            units='µs²/Ų',
-            description='Gaussian broadening coefficient (instrument-dependent term)',
-        )
-        self.broad_lorentz_gamma_0: Parameter = Parameter(
-            value=0.0,
-            name='lorentz_gamma_0',
-            cif_name='lorentz_gamma_0',
-            units='µs',
-            description='Lorentzian broadening coefficient (dependent on microstrain effects)',
-        )
-        self.broad_lorentz_gamma_1: Parameter = Parameter(
-            value=0.0,
-            name='lorentz_gamma_1',
-            cif_name='lorentz_gamma_1',
-            units='µs/Å',
-            description='Lorentzian broadening coefficient (dependent on d-spacing)',
-        )
-        self.broad_lorentz_gamma_2: Parameter = Parameter(
-            value=0.0,
-            name='lorentz_gamma_2',
-            cif_name='lorentz_gamma_2',
-            units='µs²/Ų',
-            description='Lorentzian broadening coefficient (instrumental-dependent term)',
-        )
-        self.broad_mix_beta_0: Parameter = Parameter(
-            value=0.0,
-            name='mix_beta_0',
-            cif_name='mix_beta_0',
-            units='deg',
-            description='Mixing parameter. Defines the ratio of Gaussian '
-            'to Lorentzian contributions in TOF profiles',
-        )
-        self.broad_mix_beta_1: Parameter = Parameter(
-            value=0.0,
-            name='mix_beta_1',
-            cif_name='mix_beta_1',
-            units='deg',
-            description='Mixing parameter. Defines the ratio of Gaussian '
-            'to Lorentzian contributions in TOF profiles',
-        )
-
-
-class EmpiricalAsymmetryMixin:
-    def _add_empirical_asymmetry(self) -> None:
-        self.asym_empir_1: Parameter = Parameter(
-            value=0.1,
-            name='asym_empir_1',
-            cif_name='asym_empir_1',
-            units='',
-            description='Empirical asymmetry coefficient p1',
-        )
-        self.asym_empir_2: Parameter = Parameter(
-            value=0.2,
-            name='asym_empir_2',
-            cif_name='asym_empir_2',
-            units='',
-            description='Empirical asymmetry coefficient p2',
-        )
-        self.asym_empir_3: Parameter = Parameter(
-            value=0.3,
-            name='asym_empir_3',
-            cif_name='asym_empir_3',
-            units='',
-            description='Empirical asymmetry coefficient p3',
-        )
-        self.asym_empir_4: Parameter = Parameter(
-            value=0.4,
-            name='asym_empir_4',
-            cif_name='asym_empir_4',
-            units='',
-            description='Empirical asymmetry coefficient p4',
-        )
-
-
-class FcjAsymmetryMixin:
-    def _add_fcj_asymmetry(self) -> None:
-        self.asym_fcj_1: Parameter = Parameter(
-            value=0.01,
-            name='asym_fcj_1',
-            cif_name='asym_fcj_1',
-            units='',
-            description='FCJ asymmetry coefficient 1',
-        )
-        self.asym_fcj_2: Parameter = Parameter(
-            value=0.02,
-            name='asym_fcj_2',
-            cif_name='asym_fcj_2',
-            units='',
-            description='FCJ asymmetry coefficient 2',
-        )
-
-
-class IkedaCarpenterAsymmetryMixin:
-    def _add_ikeda_carpenter_asymmetry(self) -> None:
-        self.asym_alpha_0: Parameter = Parameter(
-            value=0.01,
-            name='asym_alpha_0',
-            cif_name='asym_alpha_0',
-            units='',
-            description='Ikeda-Carpenter asymmetry parameter α₀',
-        )
-        self.asym_alpha_1: Parameter = Parameter(
-            value=0.02,
-            name='asym_alpha_1',
-            cif_name='asym_alpha_1',
-            units='',
-            description='Ikeda-Carpenter asymmetry parameter α₁',
-        )
-
-
-class PairDistributionFunctionBroadeningMixin:
-    def _add_pair_distribution_function_broadening(self):
-        self.damp_q = Parameter(
-            value=0.05,
-            name='damp_q',
-            cif_name='damp_q',
-            units='Å⁻¹',
-            description='Instrumental Q-resolution damping factor '
-            '(affects high-r PDF peak amplitude)',
-        )
-        self.broad_q = Parameter(
-            value=0.0,
-            name='broad_q',
-            cif_name='broad_q',
-            units='Å⁻²',
-            description='Quadratic PDF peak broadening coefficient '
-            '(thermal and model uncertainty contribution)',
-        )
-        self.cutoff_q = Parameter(
-            value=25.0,
-            name='cutoff_q',
-            cif_name='cutoff_q',
-            units='Å⁻¹',
-            description='Q-value cutoff applied to model PDF for Fourier '
-            'transform (controls real-space resolution)',
-        )
-        self.sharp_delta_1 = Parameter(
-            value=0.0,
-            name='sharp_delta_1',
-            cif_name='sharp_delta_1',
-            units='Å',
-            description='PDF peak sharpening coefficient (1/r dependence)',
-        )
-        self.sharp_delta_2 = Parameter(
-            value=0.0,
-            name='sharp_delta_2',
-            cif_name='sharp_delta_2',
-            units='Ų',
-            description='PDF peak sharpening coefficient (1/r² dependence)',
-        )
-        self.damp_particle_diameter = Parameter(
-            value=0.0,
-            name='damp_particle_diameter',
-            cif_name='damp_particle_diameter',
-            units='Å',
-            description='Particle diameter for spherical envelope damping correction in PDF',
-        )
-
-
-# --- Base peak class ---
-class PeakBase(Component):
-    @property
-    def category_key(self) -> str:
-        return 'peak'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'peak'
-
-
-# --- Derived peak classes ---
-class ConstantWavelengthPseudoVoigt(
-    PeakBase,
-    ConstantWavelengthBroadeningMixin,
-):
-    def __init__(self) -> None:
-        super().__init__()
-
-        self._add_constant_wavelength_broadening()
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class ConstantWavelengthSplitPseudoVoigt(
-    PeakBase,
-    ConstantWavelengthBroadeningMixin,
-    EmpiricalAsymmetryMixin,
-):
-    def __init__(self) -> None:
-        super().__init__()
-
-        self._add_constant_wavelength_broadening()
-        self._add_empirical_asymmetry()
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class ConstantWavelengthThompsonCoxHastings(
-    PeakBase,
-    ConstantWavelengthBroadeningMixin,
-    FcjAsymmetryMixin,
-):
-    def __init__(self) -> None:
-        super().__init__()
-
-        self._add_constant_wavelength_broadening()
-        self._add_fcj_asymmetry()
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class TimeOfFlightPseudoVoigt(
-    PeakBase,
-    TimeOfFlightBroadeningMixin,
-):
-    def __init__(self) -> None:
-        super().__init__()
-
-        self._add_time_of_flight_broadening()
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class TimeOfFlightPseudoVoigtIkedaCarpenter(
-    PeakBase,
-    TimeOfFlightBroadeningMixin,
-    IkedaCarpenterAsymmetryMixin,
-):
-    def __init__(self) -> None:
-        super().__init__()
-
-        self._add_time_of_flight_broadening()
-        self._add_ikeda_carpenter_asymmetry()
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class TimeOfFlightPseudoVoigtBackToBack(
-    PeakBase,
-    TimeOfFlightBroadeningMixin,
-    IkedaCarpenterAsymmetryMixin,
-):
-    def __init__(self) -> None:
-        super().__init__()
-
-        self._add_time_of_flight_broadening()
-        self._add_ikeda_carpenter_asymmetry()
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
-
-
-class PairDistributionFunctionGaussianDampedSinc(
-    PeakBase,
-    PairDistributionFunctionBroadeningMixin,
-):
-    def __init__(self):
-        super().__init__()
-        self._add_pair_distribution_function_broadening()
-        self._locked = True  # Lock further attribute additions
-
-
-# --- Peak factory ---
-class PeakFactory:
-    ST = ScatteringTypeEnum
-    BM = BeamModeEnum
-    PPT = PeakProfileTypeEnum
-    _supported = {
-        ST.BRAGG: {
-            BM.CONSTANT_WAVELENGTH: {
-                PPT.PSEUDO_VOIGT: ConstantWavelengthPseudoVoigt,
-                PPT.SPLIT_PSEUDO_VOIGT: ConstantWavelengthSplitPseudoVoigt,
-                PPT.THOMPSON_COX_HASTINGS: ConstantWavelengthThompsonCoxHastings,
-            },
-            BM.TIME_OF_FLIGHT: {
-                PPT.PSEUDO_VOIGT: TimeOfFlightPseudoVoigt,
-                PPT.PSEUDO_VOIGT_IKEDA_CARPENTER: TimeOfFlightPseudoVoigtIkedaCarpenter,
-                PPT.PSEUDO_VOIGT_BACK_TO_BACK: TimeOfFlightPseudoVoigtBackToBack,
-            },
-        },
-        ST.TOTAL: {
-            BM.CONSTANT_WAVELENGTH: {
-                PPT.GAUSSIAN_DAMPED_SINC: PairDistributionFunctionGaussianDampedSinc,
-            },
-            BM.TIME_OF_FLIGHT: {
-                PPT.GAUSSIAN_DAMPED_SINC: PairDistributionFunctionGaussianDampedSinc,
-            },
-        },
-    }
-
-    @classmethod
-    def create(
-        cls,
-        scattering_type: Optional[ScatteringTypeEnum] = None,
-        beam_mode: Optional[BeamModeEnum] = None,
-        profile_type: Optional[PeakProfileTypeEnum] = None,
-    ):
-        if beam_mode is None:
-            beam_mode = BeamModeEnum.default()
-        if scattering_type is None:
-            scattering_type = ScatteringTypeEnum.default()
-        if profile_type is None:
-            profile_type = PeakProfileTypeEnum.default(scattering_type, beam_mode)
-
-        supported_scattering_types = list(cls._supported.keys())
-        if scattering_type not in supported_scattering_types:
-            raise ValueError(
-                f"Unsupported scattering type: '{scattering_type}'.\n"
-                f'Supported scattering types: {supported_scattering_types}'
-            )
-
-        supported_beam_modes = list(cls._supported[scattering_type].keys())
-        if beam_mode not in supported_beam_modes:
-            raise ValueError(
-                f"Unsupported beam mode: '{beam_mode}' for scattering type: "
-                f"'{scattering_type}'.\n Supported beam modes: '{supported_beam_modes}'"
-            )
-
-        supported_profile_types = list(cls._supported[scattering_type][beam_mode].keys())
-        if profile_type not in supported_profile_types:
-            raise ValueError(
-                f"Unsupported profile type '{profile_type}' for beam mode '{beam_mode}'.\n"
-                f'Supported profile types: {supported_profile_types}'
-            )
-
-        peak_class = cls._supported[scattering_type][beam_mode][profile_type]
-        peak_obj = peak_class()
-
-        return peak_obj
diff --git a/src/easydiffraction/experiments/datastore.py b/src/easydiffraction/experiments/datastore.py
deleted file mode 100644
index e957b122..00000000
--- a/src/easydiffraction/experiments/datastore.py
+++ /dev/null
@@ -1,254 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from __future__ import annotations
-
-from abc import abstractmethod
-from typing import Optional
-
-import numpy as np
-
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import SampleFormEnum
-from easydiffraction.utils.decorators import enforce_type
-
-
-class BaseDatastore:
-    """Base class for all data stores.
-
-    Attributes:
-        meas (Optional[np.ndarray]): Measured intensities.
-        meas_su (Optional[np.ndarray]): Standard uncertainties of
-            measured intensities.
-        excluded (Optional[np.ndarray]): Flags for excluded points.
-        _calc (Optional[np.ndarray]): Stored calculated intensities.
-    """
-
-    def __init__(self) -> None:
-        self.meas: Optional[np.ndarray] = None
-        self.meas_su: Optional[np.ndarray] = None
-        self.excluded: Optional[np.ndarray] = None
-        self._calc: Optional[np.ndarray] = None
-
-    @property
-    def calc(self) -> Optional[np.ndarray]:
-        """Access calculated intensities. Should be updated via external
-        calculation.
-
-        Returns:
-            Optional[np.ndarray]: Calculated intensities array or None
-                if not set.
-        """
-        return self._calc
-
-    @calc.setter
-    @enforce_type
-    def calc(self, values: np.ndarray) -> None:
-        """Set calculated intensities (from
-        Analysis.calculate_pattern()).
-
-        Args:
-            values (np.ndarray): Array of calculated intensities.
-        """
-        self._calc = values
-
-    @abstractmethod
-    def _cif_mapping(self) -> dict[str, str]:
-        """Must be implemented in subclasses to return a mapping from
-        attribute names to CIF tags.
-
-        Returns:
-            dict[str, str]: Mapping from attribute names to CIF tags.
-        """
-        pass
-
-    def as_cif(self, max_points: Optional[int] = None) -> str:
-        """Generate a CIF-formatted string representing the datastore
-        data.
-
-        Args:
-            max_points (Optional[int]): Maximum number of points to
-                include from start and end. If the total points exceed
-                twice this number, data in the middle is truncated with
-                '...'.
-
-        Returns:
-            str: CIF-formatted string of the data. Empty string if no
-                data available.
-        """
-        cif_lines = ['loop_']
-
-        # Add CIF tags from mapping
-        mapping = self._cif_mapping()
-        for cif_key in mapping.values():
-            cif_lines.append(cif_key)
-
-        # Collect data arrays according to mapping keys
-        data_arrays = []
-        for attr_name in mapping:
-            attr_array = getattr(self, attr_name, None)
-            if attr_array is None:
-                data_arrays.append(np.array([]))
-            else:
-                data_arrays.append(attr_array)
-
-        # Return empty string if no data
-        if not data_arrays or not data_arrays[0].size:
-            return ''
-
-        # Determine number of points in the first data array
-        n_points = len(data_arrays[0])
-
-        # Function to format a single row of data
-        def _format_row(i: int) -> str:
-            return ' '.join(str(data_arrays[j][i]) for j in range(len(data_arrays)))
-
-        # Add data lines, applying max_points truncation if needed
-        if max_points is not None and n_points > 2 * max_points:
-            for i in range(max_points):
-                cif_lines.append(_format_row(i))
-            cif_lines.append('...')
-            for i in range(-max_points, 0):
-                cif_lines.append(_format_row(i))
-        else:
-            for i in range(n_points):
-                cif_lines.append(_format_row(i))
-
-        cif_str = '\n'.join(cif_lines)
-
-        return cif_str
-
-
-class PowderDatastore(BaseDatastore):
-    """Class for powder diffraction data.
-
-    Attributes:
-        x (Optional[np.ndarray]): Scan variable (e.g. 2θ or
-            time-of-flight values).
-        d (Optional[np.ndarray]): d-spacing values.
-        bkg (Optional[np.ndarray]): Background values.
-    """
-
-    def __init__(self, beam_mode: Optional[BeamModeEnum] = None) -> None:
-        """Initialize PowderDatastore.
-
-        Args:
-            beam_mode (str): Beam mode, e.g. 'time-of-flight' or
-                'constant wavelength'.
-        """
-        super().__init__()
-
-        if beam_mode is None:
-            beam_mode = BeamModeEnum.default()
-
-        self.beam_mode = beam_mode
-        self.x: Optional[np.ndarray] = None
-        self.d: Optional[np.ndarray] = None
-        self.bkg: Optional[np.ndarray] = None
-
-    def _cif_mapping(self) -> dict[str, str]:
-        """Return mapping from attribute names to CIF tags based on beam
-        mode.
-
-        Returns:
-            dict[str, str]: Mapping dictionary.
-        """
-        # TODO: Decide where to have validation for beam_mode,
-        #  here or in Experiment class or somewhere else.
-        return {
-            'time-of-flight': {
-                'x': '_pd_meas.time_of_flight',
-                'meas': '_pd_meas.intensity_total',
-                'meas_su': '_pd_meas.intensity_total_su',
-            },
-            'constant wavelength': {
-                'x': '_pd_meas.2theta_scan',
-                'meas': '_pd_meas.intensity_total',
-                'meas_su': '_pd_meas.intensity_total_su',
-            },
-        }[self.beam_mode]
-
-
-class SingleCrystalDatastore(BaseDatastore):
-    """Class for single crystal diffraction data.
-
-    Attributes:
-        sin_theta_over_lambda (Optional[np.ndarray]): sin(θ)/λ values.
-        index_h (Optional[np.ndarray]): Miller index h.
-        index_k (Optional[np.ndarray]): Miller index k.
-        index_l (Optional[np.ndarray]): Miller index l.
-    """
-
-    def __init__(self) -> None:
-        """Initialize SingleCrystalDatastore."""
-        super().__init__()
-        self.sin_theta_over_lambda: Optional[np.ndarray] = None
-        self.index_h: Optional[np.ndarray] = None
-        self.index_k: Optional[np.ndarray] = None
-        self.index_l: Optional[np.ndarray] = None
-
-    def _cif_mapping(self) -> dict[str, str]:
-        """Return mapping from attribute names to CIF tags for single
-        crystal data.
-
-        Returns:
-            dict[str, str]: Mapping dictionary.
-        """
-        return {
-            'index_h': '_refln.index_h',
-            'index_k': '_refln.index_k',
-            'index_l': '_refln.index_l',
-            'meas': '_refln.intensity_meas',
-            'meas_su': '_refln.intensity_meas_su',
-        }
-
-
-class DatastoreFactory:
-    _supported = {
-        'powder': PowderDatastore,
-        'single crystal': SingleCrystalDatastore,
-    }
-
-    @classmethod
-    def create(
-        cls,
-        sample_form: str = SampleFormEnum.default(),
-        beam_mode: str = BeamModeEnum.default(),
-    ) -> BaseDatastore:
-        """Create and return a datastore object for the given sample
-        form.
-
-        Args:
-            sample_form (str): Sample form type, e.g. 'powder' or
-                'single crystal'.
-            beam_mode (str): Beam mode for powder sample form.
-
-        Returns:
-            BaseDatastore: Instance of a datastore class corresponding
-                to sample form.
-
-        Raises:
-            ValueError: If the sample_form or beam_mode is not
-                supported.
-        """
-        supported_sample_forms = list(cls._supported.keys())
-        if sample_form not in supported_sample_forms:
-            raise ValueError(
-                f"Unsupported sample form: '{sample_form}'.\n"
-                f'Supported sample forms: {supported_sample_forms}'
-            )
-
-        supported_beam_modes = ['time-of-flight', 'constant wavelength']
-        if beam_mode not in supported_beam_modes:
-            raise ValueError(
-                f"Unsupported beam mode: '{beam_mode}'.\n"
-                f'Supported beam modes: {supported_beam_modes}'
-            )
-
-        datastore_class = cls._supported[sample_form]
-        if sample_form == 'powder':
-            datastore_obj = datastore_class(beam_mode=beam_mode)
-        else:
-            datastore_obj = datastore_class()
-
-        return datastore_obj
diff --git a/src/easydiffraction/experiments/experiment.py b/src/easydiffraction/experiments/experiment.py
deleted file mode 100644
index 8abb80f7..00000000
--- a/src/easydiffraction/experiments/experiment.py
+++ /dev/null
@@ -1,572 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from abc import abstractmethod
-from typing import List
-from typing import Optional
-
-import numpy as np
-
-from easydiffraction.core.objects import Datablock
-from easydiffraction.experiments.collections.background import BackgroundFactory
-from easydiffraction.experiments.collections.background import BackgroundTypeEnum
-from easydiffraction.experiments.collections.excluded_regions import ExcludedRegions
-from easydiffraction.experiments.collections.linked_phases import LinkedPhases
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import ExperimentType
-from easydiffraction.experiments.components.experiment_type import RadiationProbeEnum
-from easydiffraction.experiments.components.experiment_type import SampleFormEnum
-from easydiffraction.experiments.components.experiment_type import ScatteringTypeEnum
-from easydiffraction.experiments.components.instrument import InstrumentBase
-from easydiffraction.experiments.components.instrument import InstrumentFactory
-from easydiffraction.experiments.components.peak import PeakFactory
-from easydiffraction.experiments.components.peak import PeakProfileTypeEnum
-from easydiffraction.experiments.datastore import DatastoreFactory
-from easydiffraction.utils.decorators import enforce_type
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.formatting import warning
-from easydiffraction.utils.utils import render_cif
-from easydiffraction.utils.utils import render_table
-
-
-class InstrumentMixin:
-    def __init__(self, *args, **kwargs):
-        expt_type = kwargs.get('type')
-        super().__init__(*args, **kwargs)
-        self._instrument = InstrumentFactory.create(
-            scattering_type=expt_type.scattering_type.value,
-            beam_mode=expt_type.beam_mode.value,
-        )
-
-    @property
-    def instrument(self):
-        return self._instrument
-
-    @instrument.setter
-    @enforce_type
-    def instrument(self, new_instrument: InstrumentBase):
-        self._instrument = new_instrument
-
-
-class BaseExperiment(Datablock):
-    """Base class for all experiments with only core attributes.
-
-    Wraps experiment type, instrument and datastore.
-    """
-
-    # TODO: Find better name for the attribute 'type'.
-    #  1. It shadows the built-in type() function.
-    #  2. It is not very clear what it refers to.
-    def __init__(self, name: str, type: ExperimentType):
-        self.name = name
-        self.type = type
-        self.datastore = DatastoreFactory.create(
-            sample_form=self.type.sample_form.value,
-            beam_mode=self.type.beam_mode.value,
-        )
-
-    # ---------------
-    # Experiment type
-    # ---------------
-
-    @property
-    def type(self):
-        return self._type
-
-    @type.setter
-    @enforce_type
-    def type(self, new_experiment_type: ExperimentType):
-        self._type = new_experiment_type
-
-    # ----------------
-    # Misc. Need to be sorted
-    # ----------------
-
-    def as_cif(
-        self,
-        max_points: Optional[int] = None,
-    ) -> str:
-        """Export the sample model to CIF format.
-
-        Returns:
-            str: CIF string representation of the experiment.
-        """
-        # Data block header
-        cif_lines: List[str] = [f'data_{self.name}']
-
-        # Experiment type
-        cif_lines += ['', self.type.as_cif()]
-
-        # Instrument setup and calibration
-        if hasattr(self, 'instrument'):
-            cif_lines += ['', self.instrument.as_cif()]
-
-        # Peak profile, broadening and asymmetry
-        if hasattr(self, 'peak'):
-            cif_lines += ['', self.peak.as_cif()]
-
-        # Phase scale factors for powder experiments
-        if hasattr(self, 'linked_phases') and self.linked_phases._items:
-            cif_lines += ['', self.linked_phases.as_cif()]
-
-        # Crystal scale factor for single crystal experiments
-        if hasattr(self, 'linked_crystal'):
-            cif_lines += ['', self.linked_crystal.as_cif()]
-
-        # Background points
-        if hasattr(self, 'background') and self.background._items:
-            cif_lines += ['', self.background.as_cif()]
-
-        # Excluded regions
-        if hasattr(self, 'excluded_regions') and self.excluded_regions._items:
-            cif_lines += ['', self.excluded_regions.as_cif()]
-
-        # Measured data
-        if hasattr(self, 'datastore'):
-            cif_lines += ['', self.datastore.as_cif(max_points=max_points)]
-
-        return '\n'.join(cif_lines)
-
-    def show_as_cif(self) -> None:
-        cif_text: str = self.as_cif(max_points=5)
-        paragraph_title: str = paragraph(f"Experiment 🔬 '{self.name}' as cif")
-        render_cif(cif_text, paragraph_title)
-
-    @abstractmethod
-    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
-        pass
-
-
-class BasePowderExperiment(BaseExperiment):
-    """Base class for all powder experiments."""
-
-    def __init__(
-        self,
-        name: str,
-        type: ExperimentType,
-    ) -> None:
-        super().__init__(name=name, type=type)
-
-        self._peak_profile_type: str = PeakProfileTypeEnum.default(
-            self.type.scattering_type.value,
-            self.type.beam_mode.value,
-        ).value
-        self.peak = PeakFactory.create(
-            scattering_type=self.type.scattering_type.value,
-            beam_mode=self.type.beam_mode.value,
-            profile_type=self._peak_profile_type,
-        )
-
-        self.linked_phases: LinkedPhases = LinkedPhases()
-        self.excluded_regions: ExcludedRegions = ExcludedRegions(parent=self)
-
-    @abstractmethod
-    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
-        pass
-
-    @property
-    def peak_profile_type(self):
-        return self._peak_profile_type
-
-    @peak_profile_type.setter
-    def peak_profile_type(self, new_type: str):
-        if (
-            new_type
-            not in PeakFactory._supported[self.type.scattering_type.value][
-                self.type.beam_mode.value
-            ]
-        ):
-            supported_types = list(
-                PeakFactory._supported[self.type.scattering_type.value][
-                    self.type.beam_mode.value
-                ].keys()
-            )
-            print(warning(f"Unsupported peak profile '{new_type}'"))
-            print(f'Supported peak profiles: {supported_types}')
-            print("For more information, use 'show_supported_peak_profile_types()'")
-            return
-        self.peak = PeakFactory.create(
-            scattering_type=self.type.scattering_type.value,
-            beam_mode=self.type.beam_mode.value,
-            profile_type=new_type,
-        )
-        self._peak_profile_type = new_type
-        print(paragraph(f"Peak profile type for experiment '{self.name}' changed to"))
-        print(new_type)
-
-    def show_supported_peak_profile_types(self):
-        columns_headers = ['Peak profile type', 'Description']
-        columns_alignment = ['left', 'left']
-        columns_data = []
-
-        scattering_type = self.type.scattering_type.value
-        beam_mode = self.type.beam_mode.value
-
-        for profile_type in PeakFactory._supported[scattering_type][beam_mode]:
-            columns_data.append([profile_type.value, profile_type.description()])
-
-        print(paragraph('Supported peak profile types'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
-
-    def show_current_peak_profile_type(self):
-        print(paragraph('Current peak profile type'))
-        print(self.peak_profile_type)
-
-
-class PowderExperiment(
-    InstrumentMixin,
-    BasePowderExperiment,
-):
-    """Powder experiment class with specific attributes.
-
-    Wraps background, peak profile, and linked phases.
-    """
-
-    def __init__(
-        self,
-        name: str,
-        type: ExperimentType,
-    ) -> None:
-        super().__init__(name=name, type=type)
-
-        self._background_type: BackgroundTypeEnum = BackgroundTypeEnum.default()
-        self.background = BackgroundFactory.create(background_type=self.background_type)
-
-    # -------------
-    # Measured data
-    # -------------
-
-    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
-        """Loads x, y, sy values from an ASCII data file into the
-        experiment.
-
-        The file must be structured as:
-            x  y  sy
-        """
-        try:
-            data = np.loadtxt(data_path)
-        except Exception as e:
-            raise IOError(f'Failed to read data from {data_path}: {e}') from e
-
-        if data.shape[1] < 2:
-            raise ValueError('Data file must have at least two columns: x and y.')
-
-        if data.shape[1] < 3:
-            print('Warning: No uncertainty (sy) column provided. Defaulting to sqrt(y).')
-
-        # Extract x, y data
-        x: np.ndarray = data[:, 0]
-        y: np.ndarray = data[:, 1]
-
-        # Round x to 4 decimal places
-        # TODO: This is needed for CrysPy, as otherwise it fails to
-        #  match the size of the data arrays.
-        x = np.round(x, 4)
-
-        # Determine sy from column 3 if available, otherwise use sqrt(y)
-        sy: np.ndarray = data[:, 2] if data.shape[1] > 2 else np.sqrt(y)
-
-        # Replace values smaller than 0.0001 with 1.0
-        # TODO: This is needed for minimization algorithms that fail
-        #  with very small or zero uncertainties.
-        sy = np.where(sy < 0.0001, 1.0, sy)
-
-        # Attach the data to the experiment's datastore
-
-        # The full pattern data
-        self.datastore.full_x = x
-        self.datastore.full_meas = y
-        self.datastore.full_meas_su = sy
-
-        # The pattern data used for fitting (without excluded points)
-        # This is the same as full_x, full_meas, full_meas_su by default
-        self.datastore.x = x
-        self.datastore.meas = y
-        self.datastore.meas_su = sy
-
-        # Excluded mask
-        # No excluded points by default
-        self.datastore.excluded = np.full(x.shape, fill_value=False, dtype=bool)
-
-        print(paragraph('Data loaded successfully'))
-        print(f"Experiment 🔬 '{self.name}'. Number of data points: {len(x)}")
-
-    @property
-    def background_type(self):
-        return self._background_type
-
-    @background_type.setter
-    def background_type(self, new_type):
-        if new_type not in BackgroundFactory._supported:
-            supported_types = list(BackgroundFactory._supported.keys())
-            print(warning(f"Unknown background type '{new_type}'"))
-            print(f'Supported background types: {supported_types}')
-            print("For more information, use 'show_supported_background_types()'")
-            return
-        self.background = BackgroundFactory.create(new_type)
-        self._background_type = new_type
-        print(paragraph(f"Background type for experiment '{self.name}' changed to"))
-        print(new_type)
-
-    def show_supported_background_types(self):
-        columns_headers = ['Background type', 'Description']
-        columns_alignment = ['left', 'left']
-        columns_data = []
-        for bt in BackgroundFactory._supported:
-            columns_data.append([bt.value, bt.description()])
-
-        print(paragraph('Supported background types'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
-
-    def show_current_background_type(self):
-        print(paragraph('Current background type'))
-        print(self.background_type)
-
-
-# TODO: Refactor this class to reuse PowderExperiment
-# TODO: This is not a specific experiment, but rather processed data
-#  from PowderExperiment. So, we should think of a better design.
-class PairDistributionFunctionExperiment(BasePowderExperiment):
-    """PDF experiment class with specific attributes."""
-
-    def __init__(
-        self,
-        name: str,
-        type: ExperimentType,
-    ):
-        super().__init__(name=name, type=type)
-
-    def _load_ascii_data_to_experiment(self, data_path):
-        """Loads x, y, sy values from an ASCII data file into the
-        experiment.
-
-        The file must be structured as:
-            x  y  sy
-        """
-        try:
-            from diffpy.utils.parsers.loaddata import loadData
-        except ImportError:
-            raise ImportError('diffpy module not found.') from None
-        try:
-            data = loadData(data_path)
-        except Exception as e:
-            raise IOError(f'Failed to read data from {data_path}: {e}') from e
-
-        if data.shape[1] < 2:
-            raise ValueError('Data file must have at least two columns: x and y.')
-
-        default_sy = 0.03
-        if data.shape[1] < 3:
-            print(f'Warning: No uncertainty (sy) column provided. Defaulting to {default_sy}.')
-
-        # Extract x, y, and sy data
-        x = data[:, 0]
-        # We should also add sx = data[:, 2] to capture the e.s.d. of x.
-        # It might be useful in future.
-        y = data[:, 1]
-        # Using sqrt isn’t appropriate here, as the y-scale isn’t raw
-        # counts and includes both positive and negative values. For
-        # now, set the e.s.d. to a fixed value of 0.03 if it’s not
-        # included in the measured data file. We should improve this
-        # later.
-        # sy = data[:, 3] if data.shape[1] > 2 else np.sqrt(y)
-        sy = data[:, 2] if data.shape[1] > 2 else np.full_like(y, fill_value=default_sy)
-
-        # Attach the data to the experiment's datastore
-        self.datastore.x = x
-        self.datastore.meas = y
-        self.datastore.meas_su = sy
-
-        print(paragraph('Data loaded successfully'))
-        print(f"Experiment 🔬 '{self.name}'. Number of data points: {len(x)}")
-
-
-class SingleCrystalExperiment(BaseExperiment):
-    """Single crystal experiment class with specific attributes."""
-
-    def __init__(
-        self,
-        name: str,
-        type: ExperimentType,
-    ) -> None:
-        super().__init__(name=name, type=type)
-        self.linked_crystal = None
-
-    def show_meas_chart(self) -> None:
-        print('Showing measured data chart is not implemented yet.')
-
-
-class ExperimentFactory:
-    """Creates Experiment instances with only relevant attributes."""
-
-    _valid_arg_sets = [
-        {
-            'required': ['cif_path'],
-            'optional': [],
-        },
-        {
-            'required': ['cif_str'],
-            'optional': [],
-        },
-        {
-            'required': [
-                'name',
-                'data_path',
-            ],
-            'optional': [
-                'sample_form',
-                'beam_mode',
-                'radiation_probe',
-                'scattering_type',
-            ],
-        },
-        {
-            'required': ['name'],
-            'optional': [
-                'sample_form',
-                'beam_mode',
-                'radiation_probe',
-                'scattering_type',
-            ],
-        },
-    ]
-
-    _supported = {
-        ScatteringTypeEnum.BRAGG: {
-            SampleFormEnum.POWDER: PowderExperiment,
-            SampleFormEnum.SINGLE_CRYSTAL: SingleCrystalExperiment,
-        },
-        ScatteringTypeEnum.TOTAL: {
-            SampleFormEnum.POWDER: PairDistributionFunctionExperiment,
-        },
-    }
-
-    @classmethod
-    def create(cls, **kwargs):
-        """Main factory method for creating an experiment instance.
-
-        Validates argument combinations and dispatches to the
-        appropriate creation method. Raises ValueError if arguments are
-        invalid or no valid dispatch is found.
-        """
-        # Check for valid argument combinations
-        user_args = [k for k, v in kwargs.items() if v is not None]
-        if not cls.is_valid_args(user_args):
-            raise ValueError(f'Invalid argument combination: {user_args}')
-
-        # Validate enum arguments if provided
-        if 'sample_form' in kwargs:
-            SampleFormEnum(kwargs['sample_form'])
-        if 'beam_mode' in kwargs:
-            BeamModeEnum(kwargs['beam_mode'])
-        if 'radiation_probe' in kwargs:
-            RadiationProbeEnum(kwargs['radiation_probe'])
-        if 'scattering_type' in kwargs:
-            ScatteringTypeEnum(kwargs['scattering_type'])
-
-        # Dispatch to the appropriate creation method
-        if 'cif_path' in kwargs:
-            return cls._create_from_cif_path(kwargs)
-        elif 'cif_str' in kwargs:
-            return cls._create_from_cif_str(kwargs)
-        elif 'data_path' in kwargs:
-            return cls._create_from_data_path(kwargs)
-        elif 'name' in kwargs:
-            return cls._create_without_data(kwargs)
-
-    @staticmethod
-    def _create_from_cif_path(cif_path):
-        """Create an experiment from a CIF file path.
-
-        Not yet implemented.
-        """
-        # TODO: Implement CIF file loading logic
-        raise NotImplementedError('CIF file loading not implemented yet.')
-
-    @staticmethod
-    def _create_from_cif_str(cif_str):
-        """Create an experiment from a CIF string.
-
-        Not yet implemented.
-        """
-        # TODO: Implement CIF string loading logic
-        raise NotImplementedError('CIF string loading not implemented yet.')
-
-    @classmethod
-    def _create_from_data_path(cls, kwargs):
-        """Create an experiment from a raw data ASCII file.
-
-        Loads the experiment and attaches measured data from the
-        specified file.
-        """
-        expt_type = cls._make_experiment_type(kwargs)
-        scattering_type = expt_type.scattering_type.value
-        sample_form = expt_type.sample_form.value
-        expt_class = cls._supported[scattering_type][sample_form]
-        expt_name = kwargs['name']
-        expt_obj = expt_class(name=expt_name, type=expt_type)
-        data_path = kwargs['data_path']
-        expt_obj._load_ascii_data_to_experiment(data_path)
-        return expt_obj
-
-    @classmethod
-    def _create_without_data(cls, kwargs):
-        """Create an experiment without measured data.
-
-        Returns an experiment instance with only metadata and
-        configuration.
-        """
-        expt_type = cls._make_experiment_type(kwargs)
-        scattering_type = expt_type.scattering_type.value
-        sample_form = expt_type.sample_form.value
-        expt_class = cls._supported[scattering_type][sample_form]
-        expt_name = kwargs['name']
-        expt_obj = expt_class(name=expt_name, type=expt_type)
-        return expt_obj
-
-    @classmethod
-    def _make_experiment_type(cls, kwargs):
-        """Helper to construct an ExperimentType from keyword arguments,
-        using defaults as needed.
-        """
-        return ExperimentType(
-            sample_form=kwargs.get('sample_form', SampleFormEnum.default()),
-            beam_mode=kwargs.get('beam_mode', BeamModeEnum.default()),
-            radiation_probe=kwargs.get('radiation_probe', RadiationProbeEnum.default()),
-            scattering_type=kwargs.get('scattering_type', ScatteringTypeEnum.default()),
-        )
-
-    @staticmethod
-    def is_valid_args(user_args):
-        """Validate user argument set against allowed combinations.
-
-        Returns True if the argument set matches any valid combination,
-        else False.
-        """
-        user_arg_set = set(user_args)
-        for arg_set in ExperimentFactory._valid_arg_sets:
-            required = set(arg_set['required'])
-            optional = set(arg_set['optional'])
-            # Must have all required, and only required+optional
-            if required.issubset(user_arg_set) and user_arg_set <= (required | optional):
-                return True
-        return False
-
-
-class Experiment:
-    """User-facing API for creating an experiment.
-
-    Accepts keyword arguments and delegates validation and creation to
-    ExperimentFactory.
-    """
-
-    def __new__(cls, **kwargs):
-        return ExperimentFactory.create(**kwargs)
diff --git a/src/easydiffraction/experiments/experiment/__init__.py b/src/easydiffraction/experiments/experiment/__init__.py
new file mode 100644
index 00000000..23232375
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/__init__.py
@@ -0,0 +1,16 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.experiments.experiment.base import ExperimentBase
+from easydiffraction.experiments.experiment.base import PdExperimentBase
+from easydiffraction.experiments.experiment.bragg_pd import BraggPdExperiment
+from easydiffraction.experiments.experiment.bragg_sc import BraggScExperiment
+from easydiffraction.experiments.experiment.total_pd import TotalPdExperiment
+
+__all__ = [
+    'ExperimentBase',
+    'PdExperimentBase',
+    'BraggPdExperiment',
+    'TotalPdExperiment',
+    'BraggScExperiment',
+]
diff --git a/src/easydiffraction/experiments/experiment/base.py b/src/easydiffraction/experiments/experiment/base.py
new file mode 100644
index 00000000..8acc9c5f
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/base.py
@@ -0,0 +1,264 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from abc import abstractmethod
+from typing import TYPE_CHECKING
+from typing import Any
+from typing import List
+
+from easydiffraction.core.datablock import DatablockItem
+from easydiffraction.experiments.categories.data.factory import DataFactory
+from easydiffraction.experiments.categories.excluded_regions import ExcludedRegions
+from easydiffraction.experiments.categories.linked_phases import LinkedPhases
+from easydiffraction.experiments.categories.peak.factory import PeakFactory
+from easydiffraction.experiments.categories.peak.factory import PeakProfileTypeEnum
+from easydiffraction.io.cif.serialize import experiment_to_cif
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+from easydiffraction.utils.utils import render_cif
+from easydiffraction.utils.utils import render_table
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.experiment_type import ExperimentType
+    from easydiffraction.sample_models.sample_models import SampleModels
+
+
+class ExperimentBase(DatablockItem):
+    """Base class for all experiments with only core attributes.
+
+    Wraps experiment type and instrument.
+    """
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        type: ExperimentType,
+    ):
+        super().__init__()
+        self._name = name
+        self._type = type
+        # TODO: Should return default calculator based on experiment
+        #  type
+        from easydiffraction.analysis.calculators.factory import CalculatorFactory
+
+        self._calculator = CalculatorFactory.create_calculator('cryspy')
+        self._identity.datablock_entry_name = lambda: self.name
+
+    @property
+    def name(self) -> str:
+        """Human-readable name of the experiment."""
+        return self._name
+
+    @name.setter
+    def name(self, new: str) -> None:
+        """Rename the experiment.
+
+        Args:
+            new: New name for this experiment.
+        """
+        self._name = new
+
+    @property
+    def type(self):  # TODO: Consider another name
+        """Experiment type descriptor (sample form, probe, beam
+        mode).
+        """
+        return self._type
+
+    @property
+    def calculator(self):
+        """Calculator engine used for pattern calculations."""
+        return self._calculator
+
+    @property
+    def as_cif(self) -> str:
+        """Serialize this experiment to a CIF fragment."""
+        return experiment_to_cif(self)
+
+    def show_as_cif(self) -> None:
+        """Pretty-print the experiment as CIF text."""
+        experiment_cif = super().as_cif
+        paragraph_title: str = f"Experiment 🔬 '{self.name}' as cif"
+        console.paragraph(paragraph_title)
+        render_cif(experiment_cif)
+
+    @abstractmethod
+    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
+        """Load ASCII data from file into the experiment data category.
+
+        Args:
+            data_path: Path to the ASCII file to load.
+        """
+        raise NotImplementedError()
+
+
+class PdExperimentBase(ExperimentBase):
+    """Base class for all powder experiments."""
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        type: ExperimentType,
+    ) -> None:
+        super().__init__(name=name, type=type)
+
+        self._linked_phases: LinkedPhases = LinkedPhases()
+        self._excluded_regions: ExcludedRegions = ExcludedRegions()
+
+        self._peak_profile_type: PeakProfileTypeEnum = PeakProfileTypeEnum.default(
+            self.type.scattering_type.value,
+            self.type.beam_mode.value,
+        )
+        self._peak = PeakFactory.create(
+            scattering_type=self.type.scattering_type.value,
+            beam_mode=self.type.beam_mode.value,
+            profile_type=self._peak_profile_type,
+        )
+
+        self._data = DataFactory.create(
+            sample_form=self.type.sample_form.value,
+            beam_mode=self.type.beam_mode.value,
+            scattering_type=self.type.scattering_type.value,
+        )
+
+    def _get_valid_linked_phases(
+        self,
+        sample_models: SampleModels,
+    ) -> List[Any]:
+        """Get valid linked phases for this experiment.
+
+        Args:
+            sample_models: Collection of sample models.
+
+        Returns:
+            A list of valid linked phases.
+        """
+        if not self.linked_phases:
+            print('Warning: No linked phases defined. Returning empty pattern.')
+            return []
+
+        valid_linked_phases = []
+        for linked_phase in self.linked_phases:
+            if linked_phase._identity.category_entry_name not in sample_models.names:
+                print(
+                    f"Warning: Linked phase '{linked_phase.id.value}' not "
+                    f'found in Sample Models {sample_models.names}. Skipping it.'
+                )
+                continue
+            valid_linked_phases.append(linked_phase)
+
+        if not valid_linked_phases:
+            print(
+                'Warning: None of the linked phases found in Sample '
+                'Models. Returning empty pattern.'
+            )
+
+        return valid_linked_phases
+
+    @abstractmethod
+    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
+        """Load powder diffraction data from an ASCII file.
+
+        Args:
+            data_path: Path to data file with columns compatible with
+                the beam mode (e.g. 2θ/I/σ for CWL, TOF/I/σ for TOF).
+        """
+        pass
+
+    @property
+    def linked_phases(self):
+        """Collection of phases linked to this experiment."""
+        return self._linked_phases
+
+    @property
+    def excluded_regions(self):
+        """Collection of excluded regions for the x-grid."""
+        return self._excluded_regions
+
+    @property
+    def peak(self) -> str:
+        """Peak category object with profile parameters and mixins."""
+        return self._peak
+
+    @peak.setter
+    def peak(self, value):
+        """Replace the peak model used for this powder experiment.
+
+        Args:
+            value: New peak object created by the `PeakFactory`.
+        """
+        self._peak = value
+
+    @property
+    def data(self):
+        return self._data
+
+    @property
+    def peak_profile_type(self):
+        """Currently selected peak profile type enum."""
+        return self._peak_profile_type
+
+    @peak_profile_type.setter
+    def peak_profile_type(self, new_type: str | PeakProfileTypeEnum):
+        """Change the active peak profile type, if supported.
+
+        Args:
+            new_type: New profile type as enum or its string value.
+        """
+        if isinstance(new_type, str):
+            try:
+                new_type = PeakProfileTypeEnum(new_type)
+            except ValueError:
+                log.warning(f"Unknown peak profile type '{new_type}'")
+                return
+
+        supported_types = list(
+            PeakFactory._supported[self.type.scattering_type.value][
+                self.type.beam_mode.value
+            ].keys()
+        )
+
+        if new_type not in supported_types:
+            log.warning(
+                f"Unsupported peak profile '{new_type.value}', "
+                f'Supported peak profiles: {supported_types}',
+                "For more information, use 'show_supported_peak_profile_types()'",
+            )
+            return
+
+        self._peak = PeakFactory.create(
+            scattering_type=self.type.scattering_type.value,
+            beam_mode=self.type.beam_mode.value,
+            profile_type=new_type,
+        )
+        self._peak_profile_type = new_type
+        console.paragraph(f"Peak profile type for experiment '{self.name}' changed to")
+        console.print(new_type.value)
+
+    def show_supported_peak_profile_types(self):
+        """Print available peak profile types for this experiment."""
+        columns_headers = ['Peak profile type', 'Description']
+        columns_alignment = ['left', 'left']
+        columns_data = []
+
+        scattering_type = self.type.scattering_type.value
+        beam_mode = self.type.beam_mode.value
+
+        for profile_type in PeakFactory._supported[scattering_type][beam_mode]:
+            columns_data.append([profile_type.value, profile_type.description()])
+
+        console.paragraph('Supported peak profile types')
+        render_table(
+            columns_headers=columns_headers,
+            columns_alignment=columns_alignment,
+            columns_data=columns_data,
+        )
+
+    def show_current_peak_profile_type(self):
+        """Print the currently selected peak profile type."""
+        console.paragraph('Current peak profile type')
+        console.print(self.peak_profile_type)
diff --git a/src/easydiffraction/experiments/experiment/bragg_pd.py b/src/easydiffraction/experiments/experiment/bragg_pd.py
new file mode 100644
index 00000000..37e543c2
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/bragg_pd.py
@@ -0,0 +1,134 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import numpy as np
+
+from easydiffraction.experiments.categories.background.enums import BackgroundTypeEnum
+from easydiffraction.experiments.categories.background.factory import BackgroundFactory
+from easydiffraction.experiments.experiment.base import PdExperimentBase
+from easydiffraction.experiments.experiment.instrument_mixin import InstrumentMixin
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+from easydiffraction.utils.utils import render_table
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.experiment_type import ExperimentType
+
+
+class BraggPdExperiment(InstrumentMixin, PdExperimentBase):
+    """Powder diffraction experiment.
+
+    Wraps background model, peak profile and linked phases for Bragg PD.
+    """
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        type: ExperimentType,
+    ) -> None:
+        super().__init__(name=name, type=type)
+
+        self._background_type: BackgroundTypeEnum = BackgroundTypeEnum.default()
+        self._background = BackgroundFactory.create(background_type=self.background_type)
+
+    @property
+    def background(self):
+        return self._background
+
+    @background.setter
+    def background(self, value):
+        self._background = value
+
+    # -------------
+    # Measured data
+    # -------------
+
+    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
+        """Load (x, y, sy) data from an ASCII file into the data
+        category.
+
+        The file format is space/column separated with 2 or 3 columns:
+        ``x y [sy]``. If ``sy`` is missing, it is approximated as
+        ``sqrt(y)`` with small values clamped to ``1.0``.
+        """
+        try:
+            data = np.loadtxt(data_path)
+        except Exception as e:
+            raise IOError(f'Failed to read data from {data_path}: {e}') from e
+
+        if data.shape[1] < 2:
+            raise ValueError('Data file must have at least two columns: x and y.')
+
+        if data.shape[1] < 3:
+            print('Warning: No uncertainty (sy) column provided. Defaulting to sqrt(y).')
+
+        # Extract x, y data
+        x: np.ndarray = data[:, 0]
+        y: np.ndarray = data[:, 1]
+
+        # Round x to 4 decimal places
+        x = np.round(x, 4)
+
+        # Determine sy from column 3 if available, otherwise use sqrt(y)
+        sy: np.ndarray = data[:, 2] if data.shape[1] > 2 else np.sqrt(y)
+
+        # Replace values smaller than 0.0001 with 1.0
+        sy = np.where(sy < 0.0001, 1.0, sy)
+
+        # Set the experiment data
+        self.data._set_x(x)
+        self.data._set_meas(y)
+        self.data._set_meas_su(sy)
+
+        console.paragraph('Data loaded successfully')
+        console.print(f"Experiment 🔬 '{self.name}'. Number of data points: {len(x)}")
+
+    @property
+    def background_type(self):
+        """Current background type enum value."""
+        return self._background_type
+
+    @background_type.setter
+    def background_type(self, new_type):
+        """Set and apply a new background type.
+
+        Falls back to printing supported types if the new value is not
+        supported.
+        """
+        if new_type not in BackgroundFactory._supported_map():
+            supported_types = list(BackgroundFactory._supported_map().keys())
+            log.warning(
+                f"Unknown background type '{new_type}'. "
+                f'Supported background types: {[bt.value for bt in supported_types]}. '
+                f"For more information, use 'show_supported_background_types()'"
+            )
+            return
+        self.background = BackgroundFactory.create(new_type)
+        self._background_type = new_type
+        console.paragraph(f"Background type for experiment '{self.name}' changed to")
+        console.print(new_type)
+
+    def show_supported_background_types(self):
+        """Print a table of supported background types."""
+        columns_headers = ['Background type', 'Description']
+        columns_alignment = ['left', 'left']
+        columns_data = []
+        for bt in BackgroundFactory._supported_map():
+            columns_data.append([bt.value, bt.description()])
+
+        console.paragraph('Supported background types')
+        render_table(
+            columns_headers=columns_headers,
+            columns_alignment=columns_alignment,
+            columns_data=columns_data,
+        )
+
+    def show_current_background_type(self):
+        """Print the currently used background type."""
+        console.paragraph('Current background type')
+        console.print(self.background_type)
diff --git a/src/easydiffraction/experiments/experiment/bragg_sc.py b/src/easydiffraction/experiments/experiment/bragg_sc.py
new file mode 100644
index 00000000..d5e069da
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/bragg_sc.py
@@ -0,0 +1,28 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Single crystal experiment types and helpers."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from easydiffraction.experiments.experiment.base import ExperimentBase
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.experiment_type import ExperimentType
+
+
+class BraggScExperiment(ExperimentBase):
+    """Single crystal experiment class with specific attributes."""
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        type: ExperimentType,
+    ) -> None:
+        super().__init__(name=name, type=type)
+        self.linked_crystal = None
+
+    def show_meas_chart(self) -> None:
+        print('Showing measured data chart is not implemented yet.')
diff --git a/src/easydiffraction/experiments/experiment/enums.py b/src/easydiffraction/experiments/experiment/enums.py
new file mode 100644
index 00000000..ca235c0e
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/enums.py
@@ -0,0 +1,119 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Enumerations for experiment configuration (forms, modes, types)."""
+
+from enum import Enum
+
+
+class SampleFormEnum(str, Enum):
+    """Physical sample form supported by experiments."""
+
+    POWDER = 'powder'
+    SINGLE_CRYSTAL = 'single crystal'
+
+    @classmethod
+    def default(cls) -> 'SampleFormEnum':
+        return cls.POWDER
+
+    def description(self) -> str:
+        if self is SampleFormEnum.POWDER:
+            return 'Powdered or polycrystalline sample.'
+        elif self is SampleFormEnum.SINGLE_CRYSTAL:
+            return 'Single crystal sample.'
+
+
+class ScatteringTypeEnum(str, Enum):
+    """Type of scattering modeled in an experiment."""
+
+    BRAGG = 'bragg'
+    TOTAL = 'total'
+
+    @classmethod
+    def default(cls) -> 'ScatteringTypeEnum':
+        return cls.BRAGG
+
+    def description(self) -> str:
+        if self is ScatteringTypeEnum.BRAGG:
+            return 'Bragg diffraction for conventional structure refinement.'
+        elif self is ScatteringTypeEnum.TOTAL:
+            return 'Total scattering for pair distribution function analysis (PDF).'
+
+
+class RadiationProbeEnum(str, Enum):
+    """Incident radiation probe used in the experiment."""
+
+    NEUTRON = 'neutron'
+    XRAY = 'xray'
+
+    @classmethod
+    def default(cls) -> 'RadiationProbeEnum':
+        return cls.NEUTRON
+
+    def description(self) -> str:
+        if self is RadiationProbeEnum.NEUTRON:
+            return 'Neutron diffraction.'
+        elif self is RadiationProbeEnum.XRAY:
+            return 'X-ray diffraction.'
+
+
+class BeamModeEnum(str, Enum):
+    """Beam delivery mode for the instrument."""
+
+    # TODO: Rename to CWL and TOF
+    CONSTANT_WAVELENGTH = 'constant wavelength'
+    TIME_OF_FLIGHT = 'time-of-flight'
+
+    @classmethod
+    def default(cls) -> 'BeamModeEnum':
+        return cls.CONSTANT_WAVELENGTH
+
+    def description(self) -> str:
+        if self is BeamModeEnum.CONSTANT_WAVELENGTH:
+            return 'Constant wavelength (CW) diffraction.'
+        elif self is BeamModeEnum.TIME_OF_FLIGHT:
+            return 'Time-of-flight (TOF) diffraction.'
+
+
+class PeakProfileTypeEnum(str, Enum):
+    """Available peak profile types per scattering and beam mode."""
+
+    PSEUDO_VOIGT = 'pseudo-voigt'
+    SPLIT_PSEUDO_VOIGT = 'split pseudo-voigt'
+    THOMPSON_COX_HASTINGS = 'thompson-cox-hastings'
+    PSEUDO_VOIGT_IKEDA_CARPENTER = 'pseudo-voigt * ikeda-carpenter'
+    PSEUDO_VOIGT_BACK_TO_BACK = 'pseudo-voigt * back-to-back'
+    GAUSSIAN_DAMPED_SINC = 'gaussian-damped-sinc'
+
+    @classmethod
+    def default(
+        cls,
+        scattering_type: ScatteringTypeEnum | None = None,
+        beam_mode: BeamModeEnum | None = None,
+    ) -> 'PeakProfileTypeEnum':
+        if scattering_type is None:
+            scattering_type = ScatteringTypeEnum.default()
+        if beam_mode is None:
+            beam_mode = BeamModeEnum.default()
+        return {
+            (ScatteringTypeEnum.BRAGG, BeamModeEnum.CONSTANT_WAVELENGTH): cls.PSEUDO_VOIGT,
+            (
+                ScatteringTypeEnum.BRAGG,
+                BeamModeEnum.TIME_OF_FLIGHT,
+            ): cls.PSEUDO_VOIGT_IKEDA_CARPENTER,
+            (ScatteringTypeEnum.TOTAL, BeamModeEnum.CONSTANT_WAVELENGTH): cls.GAUSSIAN_DAMPED_SINC,
+            (ScatteringTypeEnum.TOTAL, BeamModeEnum.TIME_OF_FLIGHT): cls.GAUSSIAN_DAMPED_SINC,
+        }[(scattering_type, beam_mode)]
+
+    def description(self) -> str:
+        if self is PeakProfileTypeEnum.PSEUDO_VOIGT:
+            return 'Pseudo-Voigt profile'
+        elif self is PeakProfileTypeEnum.SPLIT_PSEUDO_VOIGT:
+            return 'Split pseudo-Voigt profile with empirical asymmetry correction.'
+        elif self is PeakProfileTypeEnum.THOMPSON_COX_HASTINGS:
+            return 'Thompson-Cox-Hastings profile with FCJ asymmetry correction.'
+        elif self is PeakProfileTypeEnum.PSEUDO_VOIGT_IKEDA_CARPENTER:
+            return 'Pseudo-Voigt profile with Ikeda-Carpenter asymmetry correction.'
+        elif self is PeakProfileTypeEnum.PSEUDO_VOIGT_BACK_TO_BACK:
+            return 'Pseudo-Voigt profile with Back-to-Back Exponential asymmetry correction.'
+        elif self is PeakProfileTypeEnum.GAUSSIAN_DAMPED_SINC:
+            return 'Gaussian-damped sinc profile for pair distribution function (PDF) analysis.'
diff --git a/src/easydiffraction/experiments/experiment/factory.py b/src/easydiffraction/experiments/experiment/factory.py
new file mode 100644
index 00000000..11b148c8
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/factory.py
@@ -0,0 +1,181 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from easydiffraction.core.factory import FactoryBase
+from easydiffraction.experiments.categories.experiment_type import ExperimentType
+from easydiffraction.experiments.experiment import BraggPdExperiment
+from easydiffraction.experiments.experiment import BraggScExperiment
+from easydiffraction.experiments.experiment import TotalPdExperiment
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+from easydiffraction.experiments.experiment.enums import SampleFormEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+from easydiffraction.io.cif.parse import document_from_path
+from easydiffraction.io.cif.parse import document_from_string
+from easydiffraction.io.cif.parse import name_from_block
+from easydiffraction.io.cif.parse import pick_sole_block
+
+if TYPE_CHECKING:
+    import gemmi
+
+    from easydiffraction.experiments.experiment.base import ExperimentBase
+
+
+class ExperimentFactory(FactoryBase):
+    """Creates Experiment instances with only relevant attributes."""
+
+    _ALLOWED_ARG_SPECS = [
+        {'required': ['cif_path'], 'optional': []},
+        {'required': ['cif_str'], 'optional': []},
+        {
+            'required': ['name', 'data_path'],
+            'optional': ['sample_form', 'beam_mode', 'radiation_probe', 'scattering_type'],
+        },
+        {
+            'required': ['name'],
+            'optional': ['sample_form', 'beam_mode', 'radiation_probe', 'scattering_type'],
+        },
+    ]
+
+    _SUPPORTED = {
+        ScatteringTypeEnum.BRAGG: {
+            SampleFormEnum.POWDER: BraggPdExperiment,
+            SampleFormEnum.SINGLE_CRYSTAL: BraggScExperiment,
+        },
+        ScatteringTypeEnum.TOTAL: {
+            SampleFormEnum.POWDER: TotalPdExperiment,
+        },
+    }
+
+    @classmethod
+    def _make_experiment_type(cls, kwargs):
+        """Helper to construct an ExperimentType from keyword arguments,
+        using defaults as needed.
+        """
+        # TODO: Defaults are already in the experiment type...
+        # TODO: Merging with experiment_type_from_block from
+        #  io.cif.parse
+        return ExperimentType(
+            sample_form=kwargs.get('sample_form', SampleFormEnum.default().value),
+            beam_mode=kwargs.get('beam_mode', BeamModeEnum.default().value),
+            radiation_probe=kwargs.get('radiation_probe', RadiationProbeEnum.default().value),
+            scattering_type=kwargs.get('scattering_type', ScatteringTypeEnum.default().value),
+        )
+
+    # TODO: Move to a common CIF utility module? io.cif.parse?
+    @classmethod
+    def _create_from_gemmi_block(
+        cls,
+        block: gemmi.cif.Block,
+    ) -> ExperimentBase:
+        """Build a model instance from a single CIF block."""
+        name = name_from_block(block)
+
+        # TODO: move to io.cif.parse?
+        expt_type = ExperimentType()
+        for param in expt_type.parameters:
+            param.from_cif(block)
+
+        # Create experiment instance of appropriate class
+        # TODO: make helper method to create experiment from type
+        scattering_type = expt_type.scattering_type.value
+        sample_form = expt_type.sample_form.value
+        expt_class = cls._SUPPORTED[scattering_type][sample_form]
+        expt_obj = expt_class(name=name, type=expt_type)
+
+        # Read all categories from CIF block
+        # TODO: move to io.cif.parse?
+        for category in expt_obj.categories:
+            category.from_cif(block)
+
+        return expt_obj
+
+    @classmethod
+    def _create_from_cif_path(
+        cls,
+        cif_path: str,
+    ) -> ExperimentBase:
+        """Create an experiment from a CIF file path."""
+        doc = document_from_path(cif_path)
+        block = pick_sole_block(doc)
+        return cls._create_from_gemmi_block(block)
+
+    @classmethod
+    def _create_from_cif_str(
+        cls,
+        cif_str: str,
+    ) -> ExperimentBase:
+        """Create an experiment from a CIF string."""
+        doc = document_from_string(cif_str)
+        block = pick_sole_block(doc)
+        return cls._create_from_gemmi_block(block)
+
+    @classmethod
+    def _create_from_data_path(cls, kwargs):
+        """Create an experiment from a raw data ASCII file.
+
+        Loads the experiment and attaches measured data from the
+        specified file.
+        """
+        expt_type = cls._make_experiment_type(kwargs)
+        scattering_type = expt_type.scattering_type.value
+        sample_form = expt_type.sample_form.value
+        expt_class = cls._SUPPORTED[scattering_type][sample_form]
+        expt_name = kwargs['name']
+        expt_obj = expt_class(name=expt_name, type=expt_type)
+        data_path = kwargs['data_path']
+        expt_obj._load_ascii_data_to_experiment(data_path)
+        return expt_obj
+
+    @classmethod
+    def _create_without_data(cls, kwargs):
+        """Create an experiment without measured data.
+
+        Returns an experiment instance with only metadata and
+        configuration.
+        """
+        expt_type = cls._make_experiment_type(kwargs)
+        scattering_type = expt_type.scattering_type.value
+        sample_form = expt_type.sample_form.value
+        expt_class = cls._SUPPORTED[scattering_type][sample_form]
+        expt_name = kwargs['name']
+        expt_obj = expt_class(name=expt_name, type=expt_type)
+        return expt_obj
+
+    @classmethod
+    def create(cls, **kwargs):
+        """Create an `ExperimentBase` using a validated argument
+        combination.
+        """
+        # TODO: move to FactoryBase
+        # Check for valid argument combinations
+        user_args = {k for k, v in kwargs.items() if v is not None}
+        cls._validate_args(
+            present=user_args,
+            allowed_specs=cls._ALLOWED_ARG_SPECS,
+            factory_name=cls.__name__,  # TODO: move to FactoryBase
+        )
+
+        # Validate enum arguments if provided
+        if 'sample_form' in kwargs:
+            SampleFormEnum(kwargs['sample_form'])
+        if 'beam_mode' in kwargs:
+            BeamModeEnum(kwargs['beam_mode'])
+        if 'radiation_probe' in kwargs:
+            RadiationProbeEnum(kwargs['radiation_probe'])
+        if 'scattering_type' in kwargs:
+            ScatteringTypeEnum(kwargs['scattering_type'])
+
+        # Dispatch to the appropriate creation method
+        if 'cif_path' in kwargs:
+            return cls._create_from_cif_path(kwargs['cif_path'])
+        elif 'cif_str' in kwargs:
+            return cls._create_from_cif_str(kwargs['cif_str'])
+        elif 'data_path' in kwargs:
+            return cls._create_from_data_path(kwargs)
+        elif 'name' in kwargs:
+            return cls._create_without_data(kwargs)
diff --git a/src/easydiffraction/experiments/experiment/instrument_mixin.py b/src/easydiffraction/experiments/experiment/instrument_mixin.py
new file mode 100644
index 00000000..0b32c769
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/instrument_mixin.py
@@ -0,0 +1,46 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from typeguard import typechecked
+
+from easydiffraction.experiments.categories.instrument.factory import InstrumentFactory
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.instrument.base import InstrumentBase
+
+
+class InstrumentMixin:
+    """Mixin that wires an experiment to an instrument category.
+
+    Creates a default instrument via `InstrumentFactory` using the
+    experiment type (scattering type and beam mode) at initialization.
+    """
+
+    def __init__(self, *args, **kwargs):
+        expt_type = kwargs.get('type')
+        super().__init__(*args, **kwargs)
+        self._instrument = InstrumentFactory.create(
+            scattering_type=expt_type.scattering_type.value,
+            beam_mode=expt_type.beam_mode.value,
+        )
+
+    @property
+    def instrument(self):
+        """Instrument category object associated with the experiment."""
+        return self._instrument
+
+    @instrument.setter
+    @typechecked
+    def instrument(self, new_instrument: InstrumentBase):
+        """Replace the instrument and re-parent it to this experiment.
+
+        Args:
+            new_instrument: Instrument instance compatible with the
+                experiment type.
+        """
+        self._instrument = new_instrument
+        self._instrument._parent = self
diff --git a/src/easydiffraction/experiments/experiment/total_pd.py b/src/easydiffraction/experiments/experiment/total_pd.py
new file mode 100644
index 00000000..6e4c3c88
--- /dev/null
+++ b/src/easydiffraction/experiments/experiment/total_pd.py
@@ -0,0 +1,59 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import numpy as np
+
+from easydiffraction.experiments.experiment.base import PdExperimentBase
+from easydiffraction.utils.logging import console
+
+if TYPE_CHECKING:
+    from easydiffraction.experiments.categories.experiment_type import ExperimentType
+
+
+class TotalPdExperiment(PdExperimentBase):
+    """PDF experiment class with specific attributes."""
+
+    def __init__(
+        self,
+        name: str,
+        type: ExperimentType,
+    ):
+        super().__init__(name=name, type=type)
+
+    def _load_ascii_data_to_experiment(self, data_path):
+        """Loads x, y, sy values from an ASCII data file into the
+        experiment.
+
+        The file must be structured as:
+            x  y  sy
+        """
+        try:
+            from diffpy.utils.parsers.loaddata import loadData
+        except ImportError:
+            raise ImportError('diffpy module not found.') from None
+        try:
+            data = loadData(data_path)
+        except Exception as e:
+            raise IOError(f'Failed to read data from {data_path}: {e}') from e
+
+        if data.shape[1] < 2:
+            raise ValueError('Data file must have at least two columns: x and y.')
+
+        default_sy = 0.03
+        if data.shape[1] < 3:
+            print(f'Warning: No uncertainty (sy) column provided. Defaulting to {default_sy}.')
+
+        x = data[:, 0]
+        y = data[:, 1]
+        sy = data[:, 2] if data.shape[1] > 2 else np.full_like(y, fill_value=default_sy)
+
+        self.data._set_x(x)
+        self.data._set_meas(y)
+        self.data._set_meas_su(sy)
+
+        console.paragraph('Data loaded successfully')
+        console.print(f"Experiment 🔬 '{self.name}'. Number of data points: {len(x)}")
diff --git a/src/easydiffraction/experiments/experiments.py b/src/easydiffraction/experiments/experiments.py
index 0db524ed..94489bcf 100644
--- a/src/easydiffraction/experiments/experiments.py
+++ b/src/easydiffraction/experiments/experiments.py
@@ -1,102 +1,134 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
 
-from typing import Dict
-from typing import List
+from typeguard import typechecked
 
-from easydiffraction.core.objects import Collection
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import RadiationProbeEnum
-from easydiffraction.experiments.components.experiment_type import SampleFormEnum
-from easydiffraction.experiments.components.experiment_type import ScatteringTypeEnum
-from easydiffraction.experiments.experiment import BaseExperiment
-from easydiffraction.experiments.experiment import Experiment
-from easydiffraction.utils.decorators import enforce_type
-from easydiffraction.utils.formatting import paragraph
+from easydiffraction.core.datablock import DatablockCollection
+from easydiffraction.experiments.experiment.base import ExperimentBase
+from easydiffraction.experiments.experiment.factory import ExperimentFactory
+from easydiffraction.utils.logging import console
 
 
-class Experiments(Collection):
-    """Collection manager for multiple Experiment instances."""
+class Experiments(DatablockCollection):
+    """Collection of Experiment data blocks.
 
-    @property
-    def _child_class(self):
-        return BaseExperiment
+    Provides convenience constructors for common creation patterns and
+    helper methods for simple presentation of collection contents.
+    """
 
     def __init__(self) -> None:
-        super().__init__()
-        self._experiments: Dict[str, BaseExperiment] = self._items  # Alias for legacy support
-
-    def add(self, experiment: BaseExperiment):
-        """Add a pre-built experiment instance."""
-        self._add_prebuilt_experiment(experiment)
-
-    def add_from_cif_path(self, cif_path: str):
-        """Add a new experiment from a CIF file path."""
-        experiment = Experiment(cif_path=cif_path)
-        self._add_prebuilt_experiment(experiment)
-
-    def add_from_cif_str(self, cif_str: str):
-        """Add a new experiment from CIF file content (string)."""
-        experiment = Experiment(cif_str=cif_str)
-        self._add_prebuilt_experiment(experiment)
-
-    def add_from_data_path(
-        self,
-        name: str,
-        data_path: str,
-        sample_form: str = SampleFormEnum.default().value,
-        beam_mode: str = BeamModeEnum.default().value,
-        radiation_probe: str = RadiationProbeEnum.default().value,
-        scattering_type: str = ScatteringTypeEnum.default().value,
-    ):
-        """Add a new experiment from a data file path."""
-        experiment = Experiment(
-            name=name,
-            data_path=data_path,
-            sample_form=sample_form,
-            beam_mode=beam_mode,
-            radiation_probe=radiation_probe,
-            scattering_type=scattering_type,
-        )
-        self._add_prebuilt_experiment(experiment)
-
-    def add_without_data(
-        self,
-        name: str,
-        sample_form: str = SampleFormEnum.default().value,
-        beam_mode: str = BeamModeEnum.default().value,
-        radiation_probe: str = RadiationProbeEnum.default().value,
-        scattering_type: str = ScatteringTypeEnum.default().value,
-    ):
-        """Add a new experiment without any data file."""
-        experiment = Experiment(
-            name=name,
-            sample_form=sample_form,
-            beam_mode=beam_mode,
-            radiation_probe=radiation_probe,
-            scattering_type=scattering_type,
-        )
-        self._add_prebuilt_experiment(experiment)
-
-    @enforce_type
-    def _add_prebuilt_experiment(self, experiment: BaseExperiment):
-        self._experiments[experiment.name] = experiment
-
-    def remove(self, experiment_id: str) -> None:
-        if experiment_id in self._experiments:
-            del self._experiments[experiment_id]
-
+        super().__init__(item_type=ExperimentBase)
+
+    # --------------------
+    # Add / Remove methods
+    # --------------------
+
+    # TODO: Move to DatablockCollection?
+    # TODO: Disallow args and only allow kwargs?
+    def add(self, **kwargs):
+        experiment = kwargs.pop('experiment', None)
+
+        if experiment is None:
+            experiment = ExperimentFactory.create(**kwargs)
+
+        self._add(experiment)
+
+    # @typechecked
+    # def add_from_cif_path(self, cif_path: str):
+    #    """Add an experiment from a CIF file path.
+    #
+    #    Args:
+    #        cif_path: Path to a CIF document.
+    #    """
+    #    experiment = ExperimentFactory.create(cif_path=cif_path)
+    #    self.add(experiment)
+
+    # @typechecked
+    # def add_from_cif_str(self, cif_str: str):
+    #    """Add an experiment from a CIF string.
+    #
+    #    Args:
+    #        cif_str: Full CIF document as a string.
+    #    """
+    #    experiment = ExperimentFactory.create(cif_str=cif_str)
+    #    self.add(experiment)
+
+    # @typechecked
+    # def add_from_data_path(
+    #    self,
+    #    name: str,
+    #    data_path: str,
+    #    sample_form: str = SampleFormEnum.default().value,
+    #    beam_mode: str = BeamModeEnum.default().value,
+    #    radiation_probe: str = RadiationProbeEnum.default().value,
+    #    scattering_type: str = ScatteringTypeEnum.default().value,
+    # ):
+    #    """Add an experiment from a data file path.
+    #
+    #    Args:
+    #        name: Experiment identifier.
+    #        data_path: Path to the measured data file.
+    #        sample_form: Sample form (powder or single crystal).
+    #        beam_mode: Beam mode (constant wavelength or TOF).
+    #        radiation_probe: Radiation probe (neutron or xray).
+    #        scattering_type: Scattering type (bragg or total).
+    #    """
+    #    experiment = ExperimentFactory.create(
+    #        name=name,
+    #        data_path=data_path,
+    #        sample_form=sample_form,
+    #        beam_mode=beam_mode,
+    #        radiation_probe=radiation_probe,
+    #        scattering_type=scattering_type,
+    #    )
+    #    self.add(experiment)
+
+    # @typechecked
+    # def add_without_data(
+    #    self,
+    #    name: str,
+    #    sample_form: str = SampleFormEnum.default().value,
+    #    beam_mode: str = BeamModeEnum.default().value,
+    #    radiation_probe: str = RadiationProbeEnum.default().value,
+    #    scattering_type: str = ScatteringTypeEnum.default().value,
+    # ):
+    #    """Add an experiment without associating a data file.
+    #
+    #    Args:
+    #        name: Experiment identifier.
+    #        sample_form: Sample form (powder or single crystal).
+    #        beam_mode: Beam mode (constant wavelength or TOF).
+    #        radiation_probe: Radiation probe (neutron or xray).
+    #        scattering_type: Scattering type (bragg or total).
+    #    """
+    #    experiment = ExperimentFactory.create(
+    #        name=name,
+    #        sample_form=sample_form,
+    #        beam_mode=beam_mode,
+    #        radiation_probe=radiation_probe,
+    #        scattering_type=scattering_type,
+    #    )
+    #    self.add(experiment)
+
+    # TODO: Move to DatablockCollection?
+    @typechecked
+    def remove(self, name: str) -> None:
+        """Remove an experiment by name if it exists."""
+        if name in self:
+            del self[name]
+
+    # ------------
+    # Show methods
+    # ------------
+
+    # TODO: Move to DatablockCollection?
     def show_names(self) -> None:
-        print(paragraph('Defined experiments' + ' 🔬'))
-        print(self.ids)
-
-    @property
-    def ids(self) -> List[str]:
-        return list(self._experiments.keys())
+        """Print the list of experiment names."""
+        console.paragraph('Defined experiments' + ' 🔬')
+        console.print(self.names)
 
+    # TODO: Move to DatablockCollection?
     def show_params(self) -> None:
-        for exp in self._experiments.values():
-            print(exp)
-
-    def as_cif(self) -> str:
-        return '\n\n'.join([exp.as_cif() for exp in self._experiments.values()])
+        """Print parameters for each experiment in the collection."""
+        for exp in self.values():
+            exp.show_params()
diff --git a/src/easydiffraction/sample_models/collections/__init__.py b/src/easydiffraction/io/__init__.py
similarity index 100%
rename from src/easydiffraction/sample_models/collections/__init__.py
rename to src/easydiffraction/io/__init__.py
diff --git a/src/easydiffraction/sample_models/components/__init__.py b/src/easydiffraction/io/cif/__init__.py
similarity index 100%
rename from src/easydiffraction/sample_models/components/__init__.py
rename to src/easydiffraction/io/cif/__init__.py
diff --git a/src/easydiffraction/io/cif/handler.py b/src/easydiffraction/io/cif/handler.py
new file mode 100644
index 00000000..a21ae16e
--- /dev/null
+++ b/src/easydiffraction/io/cif/handler.py
@@ -0,0 +1,33 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Minimal CIF tag handler used by descriptors/parameters."""
+
+from __future__ import annotations
+
+
+class CifHandler:
+    """Canonical CIF handler used by descriptors/parameters.
+
+    Holds CIF tags (names) and attaches to an owning descriptor so it
+    can derive a stable uid if needed.
+    """
+
+    def __init__(self, *, names: list[str]) -> None:
+        self._names = names
+        self._owner = None  # set by attach
+
+    def attach(self, owner):
+        """Attach to a descriptor or parameter instance."""
+        self._owner = owner
+
+    @property
+    def names(self) -> list[str]:
+        """List of CIF tag names associated with the owner."""
+        return self._names
+
+    @property
+    def uid(self) -> str | None:
+        """Unique identifier taken from the owner, if attached."""
+        if self._owner is None:
+            return None
+        return self._owner.unique_name
diff --git a/src/easydiffraction/io/cif/parse.py b/src/easydiffraction/io/cif/parse.py
new file mode 100644
index 00000000..a950d99f
--- /dev/null
+++ b/src/easydiffraction/io/cif/parse.py
@@ -0,0 +1,34 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import gemmi
+
+
+def document_from_path(path: str) -> gemmi.cif.Document:
+    """Read a CIF document from a file path."""
+    return gemmi.cif.read_file(path)
+
+
+def document_from_string(text: str) -> gemmi.cif.Document:
+    """Read a CIF document from a raw text string."""
+    return gemmi.cif.read_string(text)
+
+
+def pick_sole_block(doc: gemmi.cif.Document) -> gemmi.cif.Block:
+    """Pick the sole data block from a CIF document."""
+    return doc.sole_block()
+
+
+def name_from_block(block: gemmi.cif.Block) -> str:
+    """Extract a model name from the CIF block name."""
+    # TODO: Need validator or normalization?
+    return block.name
+
+
+# def experiment_type_from_block(
+#        exp_type: ExperimentType,
+#        block: gemmi.cif.Block,
+# ) -> dict:
+#    """Extract experiment type information from a CIF block."""
+#    for param in exp_type.parameters:
+#        param.from_cif(block)
diff --git a/src/easydiffraction/io/cif/serialize.py b/src/easydiffraction/io/cif/serialize.py
new file mode 100644
index 00000000..5dc097e1
--- /dev/null
+++ b/src/easydiffraction/io/cif/serialize.py
@@ -0,0 +1,356 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+from typing import Any
+from typing import Optional
+from typing import Sequence
+
+import numpy as np
+
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.utils.logging import log
+from easydiffraction.utils.utils import str_to_ufloat
+
+if TYPE_CHECKING:
+    import gemmi
+
+    from easydiffraction.core.category import CategoryCollection
+    from easydiffraction.core.category import CategoryItem
+    from easydiffraction.core.parameters import GenericDescriptorBase
+
+
+def format_value(value) -> str:
+    """Format a single CIF value, quoting strings with whitespace, and
+    format floats with global precision.
+    """
+    width = 8
+    precision = 4
+
+    # Converting
+
+    # Convert ints to floats
+    if isinstance(value, int):
+        value = float(value)
+    # Strings with whitespace are quoted
+    elif isinstance(value, str) and (' ' in value or '\t' in value):
+        value = f'"{value}"'
+
+    # Formatting
+
+    # Format floats with given precision
+    if isinstance(value, float):
+        return f'{value:>{width}.{precision}f}'
+    # Format strings right-aligned
+    elif isinstance(value, str):
+        return f'{value:>{width}s}'
+    # Everything else: fallback
+    else:
+        return str(value)
+
+
+##################
+# Serialize to CIF
+##################
+
+
+def param_to_cif(param) -> str:
+    """Render a single descriptor/parameter to a CIF line.
+
+    Expects ``param`` to expose ``_cif_handler.names`` and ``value``.
+    """
+    tags: Sequence[str] = param._cif_handler.names  # type: ignore[attr-defined]
+    main_key: str = tags[0]
+    return f'{main_key} {format_value(param.value)}'
+
+
+def category_item_to_cif(item) -> str:
+    """Render a CategoryItem-like object to CIF text.
+
+    Expects ``item.parameters`` iterable of params with
+    ``_cif_handler.names`` and ``value``.
+    """
+    lines: list[str] = []
+    for p in item.parameters:
+        lines.append(param_to_cif(p))
+    return '\n'.join(lines)
+
+
+def category_collection_to_cif(
+    collection,
+    max_display: Optional[int] = 20,
+) -> str:
+    """Render a CategoryCollection-like object to CIF text.
+
+    Uses first item to build loop header, then emits rows for each item.
+    """
+    if not len(collection):
+        return ''
+
+    lines: list[str] = []
+
+    # Header
+    first_item = list(collection.values())[0]
+    lines.append('loop_')
+    for p in first_item.parameters:
+        tags = p._cif_handler.names  # type: ignore[attr-defined]
+        lines.append(tags[0])
+
+    # Rows
+    # Limit number of displayed rows if requested
+    if len(collection) > max_display:
+        half_display = max_display // 2
+        for i in range(half_display):
+            item = list(collection.values())[i]
+            row_vals = [format_value(p.value) for p in item.parameters]
+            lines.append(' '.join(row_vals))
+        lines.append('...')
+        for i in range(-half_display, 0):
+            item = list(collection.values())[i]
+            row_vals = [format_value(p.value) for p in item.parameters]
+            lines.append(' '.join(row_vals))
+    # No limit
+    else:
+        for item in collection.values():
+            row_vals = [format_value(p.value) for p in item.parameters]
+            lines.append(' '.join(row_vals))
+
+    return '\n'.join(lines)
+
+
+def datablock_item_to_cif(datablock) -> str:
+    """Render a DatablockItem-like object to CIF text.
+
+    Emits a data_ header and then concatenates category CIF sections.
+    """
+    # Local imports to avoid import-time cycles
+    from easydiffraction.core.category import CategoryCollection
+    from easydiffraction.core.category import CategoryItem
+
+    header = f'data_{datablock._identity.datablock_entry_name}'
+    parts: list[str] = [header]
+
+    # First categories
+    for v in vars(datablock).values():
+        if isinstance(v, CategoryItem):
+            parts.append(v.as_cif)
+
+    # Then collections
+    for v in vars(datablock).values():
+        if isinstance(v, CategoryCollection):
+            parts.append(v.as_cif)
+
+    return '\n\n'.join(parts)
+
+
+def datablock_collection_to_cif(collection) -> str:
+    """Render a collection of datablocks by joining their CIF blocks."""
+    return '\n\n'.join([block.as_cif for block in collection.values()])
+
+
+def project_info_to_cif(info) -> str:
+    """Render ProjectInfo to CIF text (id, title, description,
+    dates).
+    """
+    name = f'{info.name}'
+
+    title = f'{info.title}'
+    if ' ' in title:
+        title = f"'{title}'"
+
+    if len(info.description) > 60:
+        description = f'\n;\n{info.description}\n;'
+    else:
+        description = f'{info.description}'
+        if ' ' in description:
+            description = f"'{description}'"
+
+    created = f"'{info._created.strftime('%d %b %Y %H:%M:%S')}'"
+    last_modified = f"'{info._last_modified.strftime('%d %b %Y %H:%M:%S')}'"
+
+    return (
+        f'_project.id               {name}\n'
+        f'_project.title            {title}\n'
+        f'_project.description      {description}\n'
+        f'_project.created          {created}\n'
+        f'_project.last_modified    {last_modified}'
+    )
+
+
+def project_to_cif(project) -> str:
+    """Render a whole project by concatenating sections when present."""
+    parts: list[str] = []
+    if hasattr(project, 'info'):
+        parts.append(project.info.as_cif)
+    if getattr(project, 'sample_models', None):
+        parts.append(project.sample_models.as_cif)
+    if getattr(project, 'experiments', None):
+        parts.append(project.experiments.as_cif)
+    if getattr(project, 'analysis', None):
+        parts.append(project.analysis.as_cif())
+    if getattr(project, 'summary', None):
+        parts.append(project.summary.as_cif())
+    return '\n\n'.join([p for p in parts if p])
+
+
+def experiment_to_cif(experiment) -> str:
+    """Render an experiment: datablock part plus measured data."""
+    return datablock_item_to_cif(experiment)
+
+
+def analysis_to_cif(analysis) -> str:
+    """Render analysis metadata, aliases, and constraints to CIF."""
+    cur_min = format_value(analysis.current_minimizer)
+    lines: list[str] = []
+    lines.append(f'_analysis.calculator_engine  {format_value(analysis.current_calculator)}')
+    lines.append(f'_analysis.fitting_engine  {cur_min}')
+    lines.append(f'_analysis.fit_mode  {format_value(analysis.fit_mode)}')
+    lines.append('')
+    lines.append(analysis.aliases.as_cif)
+    lines.append('')
+    lines.append(analysis.constraints.as_cif)
+    return '\n'.join(lines)
+
+
+def summary_to_cif(_summary) -> str:
+    """Render a summary CIF block (placeholder for now)."""
+    return 'To be added...'
+
+
+# TODO: Check the following methods:
+
+######################
+# Deserialize from CIF
+######################
+
+
+def param_from_cif(
+    self: GenericDescriptorBase,
+    block: gemmi.cif.Block,
+    idx: int = 0,
+) -> None:
+    found_values: list[Any] = []
+
+    # Try to find the value(s) from the CIF block iterating over
+    # the possible cif names in order of preference.
+    for tag in self._cif_handler.names:
+        candidates = list(block.find_values(tag))
+        if candidates:
+            found_values = candidates
+            break
+
+    # If no values found, the parameter keeps its default value.
+    if not found_values:
+        return
+
+    # If found, pick the one at the given index
+    raw = found_values[idx]
+
+    # If numeric, parse with uncertainty if present
+    if self._value_type == DataTypes.NUMERIC:
+        u = str_to_ufloat(raw)
+        self.value = u.n
+        if not np.isnan(u.s) and hasattr(self, 'uncertainty'):
+            self.uncertainty = u.s  # type: ignore[attr-defined]
+            self.free = True  # Mark as free if uncertainty is present
+
+    # If string, strip quotes if present
+    elif self._value_type == DataTypes.STRING:
+        if len(raw) >= 2 and raw[0] == raw[-1] and raw[0] in {"'", '"'}:
+            self.value = raw[1:-1]
+        else:
+            self.value = raw
+
+    # Other types are not supported
+    else:
+        log.debug(f'Unrecognized type: {self._value_type}')
+
+
+def category_item_from_cif(
+    self: CategoryItem,
+    block: gemmi.cif.Block,
+    idx: int = 0,
+) -> None:
+    """Populate each parameter from CIF block at given loop index."""
+    for param in self.parameters:
+        param.from_cif(block, idx=idx)
+
+
+def category_collection_from_cif(
+    self: CategoryCollection,
+    block: gemmi.cif.Block,
+) -> None:
+    # TODO: Find a better way and then remove TODO in the AtomSite
+    #  class
+    # TODO: Rename to _item_cls?
+    if self._item_type is None:
+        raise ValueError('Child class is not defined.')
+
+    # Create a temporary instance to access its parameters and
+    # parameter CIF names
+    category_item = self._item_type()
+
+    # Iterate over category parameters and their possible CIF names
+    # trying to find the whole loop it belongs to inside the CIF block
+    def _get_loop(block, category_item):
+        for param in category_item.parameters:
+            for name in param._cif_handler.names:
+                loop = block.find_loop(name).get_loop()
+                if loop is not None:
+                    return loop
+        return None
+
+    loop = _get_loop(block, category_item)
+
+    # If no loop found
+    if loop is None:
+        log.debug(f'No loop found for category {self}.')
+        return
+
+    # Get 2D array of loop values (as strings)
+    num_rows = loop.length()
+    num_cols = loop.width()
+    array = np.array(loop.values, dtype=str).reshape(num_rows, num_cols)
+
+    # Pre-create default items in the collection
+    self._items = [self._item_type() for _ in range(num_rows)]
+
+    # Set parent for each item to enable identity resolution
+    for item in self._items:
+        object.__setattr__(item, '_parent', self)
+
+    # Set those items' parameters, which are present in the loop
+    for row_idx in range(num_rows):
+        current_item = self._items[row_idx]
+        for param in current_item.parameters:
+            for cif_name in param._cif_handler.names:
+                if cif_name in loop.tags:
+                    col_idx = loop.tags.index(cif_name)
+
+                    # TODO: The following is duplication of
+                    #  param_from_cif
+                    raw = array[row_idx][col_idx]
+
+                    # If numeric, parse with uncertainty if present
+                    if param._value_type == DataTypes.NUMERIC:
+                        u = str_to_ufloat(raw)
+                        param.value = u.n
+                        if not np.isnan(u.s) and hasattr(param, 'uncertainty'):
+                            param.uncertainty = u.s  # type: ignore[attr-defined]
+                            param.free = True  # Mark as free if uncertainty is present
+
+                    # If string, strip quotes if present
+                    # TODO: Make a helper function for this
+                    elif param._value_type == DataTypes.STRING:
+                        if len(raw) >= 2 and raw[0] == raw[-1] and raw[0] in {"'", '"'}:
+                            param.value = raw[1:-1]
+                        else:
+                            param.value = raw
+
+                    # Other types are not supported
+                    else:
+                        log.debug(f'Unrecognized type: {param._value_type}')
+
+                    break
diff --git a/src/easydiffraction/plotting/plotters/plotter_ascii.py b/src/easydiffraction/plotting/plotters/plotter_ascii.py
deleted file mode 100644
index 7b257283..00000000
--- a/src/easydiffraction/plotting/plotters/plotter_ascii.py
+++ /dev/null
@@ -1,52 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import asciichartpy
-
-from easydiffraction.plotting.plotters.plotter_base import DEFAULT_HEIGHT
-from easydiffraction.plotting.plotters.plotter_base import SERIES_CONFIG
-from easydiffraction.plotting.plotters.plotter_base import PlotterBase
-from easydiffraction.utils.formatting import paragraph
-
-DEFAULT_COLORS = {
-    'meas': asciichartpy.blue,
-    'calc': asciichartpy.red,
-    'resid': asciichartpy.green,
-}
-
-
-class AsciiPlotter(PlotterBase):
-    def _get_legend_item(self, label):
-        color_start = DEFAULT_COLORS[label]
-        color_end = asciichartpy.reset
-        line = '────'
-        name = SERIES_CONFIG[label]['name']
-        item = f'{color_start}{line}{color_end} {name}'
-        return item
-
-    def plot(
-        self,
-        x,
-        y_series,
-        labels,
-        axes_labels,
-        title,
-        height=None,
-    ):
-        # Intentionally unused; kept for a consistent plotting API
-        del axes_labels
-        title = paragraph(title)
-        legend = '\n'.join([self._get_legend_item(label) for label in labels])
-
-        if height is None:
-            height = DEFAULT_HEIGHT
-        colors = [DEFAULT_COLORS[label] for label in labels]
-        config = {'height': height, 'colors': colors}
-        y_series = [y.tolist() for y in y_series]
-
-        chart = asciichartpy.plot(y_series, config)
-
-        print(f'{title}')
-        print(f'Displaying data for selected x-range from {x[0]} to {x[-1]} ({len(x)} points)')
-        print(f'Legend:\n{legend}')
-        print(chart)
diff --git a/src/easydiffraction/plotting/plotting.py b/src/easydiffraction/plotting/plotting.py
deleted file mode 100644
index e68000c6..00000000
--- a/src/easydiffraction/plotting/plotting.py
+++ /dev/null
@@ -1,353 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from easydiffraction.plotting.plotters.plotter_ascii import AsciiPlotter
-from easydiffraction.plotting.plotters.plotter_base import DEFAULT_AXES_LABELS
-from easydiffraction.plotting.plotters.plotter_base import DEFAULT_ENGINE
-from easydiffraction.plotting.plotters.plotter_base import DEFAULT_HEIGHT
-from easydiffraction.plotting.plotters.plotter_base import DEFAULT_MAX
-from easydiffraction.plotting.plotters.plotter_base import DEFAULT_MIN
-from easydiffraction.plotting.plotters.plotter_plotly import PlotlyPlotter
-from easydiffraction.utils.formatting import error
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.utils import render_table
-
-
-class Plotter:
-    def __init__(self):
-        # Plotting engine
-        self._engine = DEFAULT_ENGINE
-
-        # X-axis limits
-        self._x_min = DEFAULT_MIN
-        self._x_max = DEFAULT_MAX
-
-        # Chart height
-        self.height = DEFAULT_HEIGHT
-
-        # Plotter instance
-        self._plotter = PlotterFactory.create_plotter(self._engine)
-
-    @property
-    def engine(self):
-        """Returns the current plotting engine name."""
-        return self._engine
-
-    @engine.setter
-    def engine(self, new_engine):
-        """Sets the current plotting engine name and updates the plotter
-        instance.
-        """
-        new_plotter = PlotterFactory.create_plotter(new_engine)
-        if new_plotter is None:
-            return
-        self._engine = new_engine
-        self._plotter = new_plotter
-        print(paragraph('Current plotter changed to'))
-        print(self._engine)
-
-    @property
-    def x_min(self):
-        """Returns the minimum x-axis limit."""
-        return self._x_min
-
-    @x_min.setter
-    def x_min(self, value):
-        """Sets the minimum x-axis limit."""
-        if value is not None:
-            self._x_min = value
-        else:
-            self._x_min = DEFAULT_MIN
-
-    @property
-    def x_max(self):
-        """Returns the maximum x-axis limit."""
-        return self._x_max
-
-    @x_max.setter
-    def x_max(self, value):
-        """Sets the maximum x-axis limit."""
-        if value is not None:
-            self._x_max = value
-        else:
-            self._x_max = DEFAULT_MAX
-
-    @property
-    def height(self):
-        """Returns the chart height."""
-        return self._height
-
-    @height.setter
-    def height(self, value):
-        """Sets the chart height."""
-        if value is not None:
-            self._height = value
-        else:
-            self._height = DEFAULT_HEIGHT
-
-    def show_config(self):
-        """Displays the current configuration settings."""
-        columns_headers = ['Parameter', 'Value']
-        columns_alignment = ['left', 'left']
-        columns_data = [
-            ['Plotting engine', self.engine],
-            ['x-axis limits', f'[{self.x_min}, {self.x_max}]'],
-            ['Chart height', self.height],
-        ]
-
-        print(paragraph('Current plotter configuration'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
-
-    def show_supported_engines(self):
-        """Displays the supported plotting engines."""
-        columns_headers = ['Engine', 'Description']
-        columns_alignment = ['left', 'left']
-        columns_data = []
-        for name, config in PlotterFactory._SUPPORTED_ENGINES_DICT.items():
-            description = config.get('description', 'No description provided.')
-            columns_data.append([name, description])
-
-        print(paragraph('Supported plotter engines'))
-        render_table(
-            columns_headers=columns_headers,
-            columns_alignment=columns_alignment,
-            columns_data=columns_data,
-        )
-
-    def plot_meas(
-        self,
-        pattern,
-        expt_name,
-        expt_type,
-        x_min=None,
-        x_max=None,
-        d_spacing=False,
-    ):
-        if pattern.x is None:
-            error(f'No data available for experiment {expt_name}')
-            return
-        if pattern.meas is None:
-            error(f'No measured data available for experiment {expt_name}')
-            return
-
-        x_array = pattern.d if d_spacing else pattern.x
-        x = self._filtered_y_array(
-            y_array=x_array,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-        y_meas = self._filtered_y_array(
-            y_array=pattern.meas,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-
-        y_series = [y_meas]
-        y_labels = ['meas']
-
-        if d_spacing:
-            axes_labels = DEFAULT_AXES_LABELS[
-                (
-                    expt_type.scattering_type.value,
-                    'd-spacing',
-                )
-            ]
-        else:
-            axes_labels = DEFAULT_AXES_LABELS[
-                (
-                    expt_type.scattering_type.value,
-                    expt_type.beam_mode.value,
-                )
-            ]
-
-        self._plotter.plot(
-            x=x,
-            y_series=y_series,
-            labels=y_labels,
-            axes_labels=axes_labels,
-            title=f"Measured data for experiment 🔬 '{expt_name}'",
-            height=self.height,
-        )
-
-    def plot_calc(
-        self,
-        pattern,
-        expt_name,
-        expt_type,
-        x_min=None,
-        x_max=None,
-        d_spacing=False,
-    ):
-        if pattern.x is None:
-            error(f'No data available for experiment {expt_name}')
-            return
-        if pattern.calc is None:
-            print(f'No calculated data available for experiment {expt_name}')
-            return
-
-        x_array = pattern.d if d_spacing else pattern.x
-        x = self._filtered_y_array(
-            y_array=x_array,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-        y_calc = self._filtered_y_array(
-            y_array=pattern.calc,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-
-        y_series = [y_calc]
-        y_labels = ['calc']
-
-        if d_spacing:
-            axes_labels = DEFAULT_AXES_LABELS[
-                (
-                    expt_type.scattering_type.value,
-                    'd-spacing',
-                )
-            ]
-        else:
-            axes_labels = DEFAULT_AXES_LABELS[
-                (
-                    expt_type.scattering_type.value,
-                    expt_type.beam_mode.value,
-                )
-            ]
-
-        self._plotter.plot(
-            x=x,
-            y_series=y_series,
-            labels=y_labels,
-            axes_labels=axes_labels,
-            title=f"Calculated data for experiment 🔬 '{expt_name}'",
-            height=self.height,
-        )
-
-    def plot_meas_vs_calc(
-        self,
-        pattern,
-        expt_name,
-        expt_type,
-        x_min=None,
-        x_max=None,
-        show_residual=False,
-        d_spacing=False,
-    ):
-        if pattern.x is None:
-            print(error(f'No data available for experiment {expt_name}'))
-            return
-        if pattern.meas is None:
-            print(error(f'No measured data available for experiment {expt_name}'))
-            return
-        if pattern.calc is None:
-            print(error(f'No calculated data available for experiment {expt_name}'))
-            return
-
-        x_array = pattern.d if d_spacing else pattern.x
-        x = self._filtered_y_array(
-            y_array=x_array,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-        y_meas = self._filtered_y_array(
-            y_array=pattern.meas,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-        y_calc = self._filtered_y_array(
-            y_array=pattern.calc,
-            x_array=x_array,
-            x_min=x_min,
-            x_max=x_max,
-        )
-
-        y_series = [y_meas, y_calc]
-        y_labels = ['meas', 'calc']
-
-        if d_spacing:
-            axes_labels = DEFAULT_AXES_LABELS[
-                (
-                    expt_type.scattering_type.value,
-                    'd-spacing',
-                )
-            ]
-        else:
-            axes_labels = DEFAULT_AXES_LABELS[
-                (
-                    expt_type.scattering_type.value,
-                    expt_type.beam_mode.value,
-                )
-            ]
-
-        if show_residual:
-            y_resid = y_meas - y_calc
-            y_series.append(y_resid)
-            y_labels.append('resid')
-
-        self._plotter.plot(
-            x=x,
-            y_series=y_series,
-            labels=y_labels,
-            axes_labels=axes_labels,
-            title=f"Measured vs Calculated data for experiment 🔬 '{expt_name}'",
-            height=self.height,
-        )
-
-    def _filtered_y_array(
-        self,
-        y_array,
-        x_array,
-        x_min,
-        x_max,
-    ):
-        if x_min is None:
-            x_min = self.x_min
-        if x_max is None:
-            x_max = self.x_max
-
-        mask = (x_array >= x_min) & (x_array <= x_max)
-        filtered_y_array = y_array[mask]
-
-        return filtered_y_array
-
-
-class PlotterFactory:
-    _SUPPORTED_ENGINES_DICT = {
-        'asciichartpy': {
-            'description': 'Console ASCII line charts',
-            'class': AsciiPlotter,
-        },
-        'plotly': {
-            'description': 'Interactive browser-based graphing library',
-            'class': PlotlyPlotter,
-        },
-    }
-
-    @classmethod
-    def supported_engines(cls):
-        keys = cls._SUPPORTED_ENGINES_DICT.keys()
-        engines = list(keys)
-        return engines
-
-    @classmethod
-    def create_plotter(cls, engine_name):
-        config = cls._SUPPORTED_ENGINES_DICT.get(engine_name)
-        if not config:
-            supported_engines = cls.supported_engines()
-            print(error(f"Unsupported plotting engine '{engine_name}'"))
-            print(f'Supported engines: {supported_engines}')
-            return None
-        plotter_class = config['class']
-        plotter_obj = plotter_class()
-        return plotter_obj
diff --git a/src/easydiffraction/project.py b/src/easydiffraction/project.py
deleted file mode 100644
index 732ef96a..00000000
--- a/src/easydiffraction/project.py
+++ /dev/null
@@ -1,361 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import datetime
-import pathlib
-import tempfile
-from textwrap import wrap
-from typing import List
-
-from varname import varname
-
-from easydiffraction.analysis.analysis import Analysis
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.experiments import Experiments
-from easydiffraction.plotting.plotting import Plotter
-from easydiffraction.sample_models.sample_models import SampleModels
-from easydiffraction.summary import Summary
-from easydiffraction.utils.formatting import error
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.utils import render_cif
-from easydiffraction.utils.utils import tof_to_d
-from easydiffraction.utils.utils import twotheta_to_d
-
-
-class ProjectInfo:
-    """Stores metadata about the project, such as name, title,
-    description, and file paths.
-    """
-
-    def __init__(self) -> None:
-        self._name: str = 'untitled_project'
-        self._title: str = 'Untitled Project'
-        self._description: str = ''
-        self._path: pathlib.Path = pathlib.Path.cwd()
-        self._created: datetime.datetime = datetime.datetime.now()
-        self._last_modified: datetime.datetime = datetime.datetime.now()
-
-    @property
-    def name(self) -> str:
-        """Return the project name."""
-        return self._name
-
-    @name.setter
-    def name(self, value: str) -> None:
-        self._name = value
-
-    @property
-    def title(self) -> str:
-        """Return the project title."""
-        return self._title
-
-    @title.setter
-    def title(self, value: str) -> None:
-        self._title = value
-
-    @property
-    def description(self) -> str:
-        """Return sanitized description with single spaces."""
-        return ' '.join(self._description.split())
-
-    @description.setter
-    def description(self, value: str) -> None:
-        self._description = ' '.join(value.split())
-
-    @property
-    def path(self) -> pathlib.Path:
-        """Return the project path as a Path object."""
-        return self._path
-
-    @path.setter
-    def path(self, value) -> None:
-        # Accept str or Path; normalize to Path
-        self._path = pathlib.Path(value)
-
-    @property
-    def created(self) -> datetime.datetime:
-        """Return the creation timestamp."""
-        return self._created
-
-    @property
-    def last_modified(self) -> datetime.datetime:
-        """Return the last modified timestamp."""
-        return self._last_modified
-
-    def update_last_modified(self) -> None:
-        """Update the last modified timestamp."""
-        self._last_modified = datetime.datetime.now()
-
-    def as_cif(self) -> str:
-        """Export project metadata to CIF."""
-        wrapped_title: List[str] = wrap(self.title, width=46)
-        wrapped_description: List[str] = wrap(self.description, width=46)
-
-        title_str: str = f"_project.title            '{wrapped_title[0]}'"
-        for line in wrapped_title[1:]:
-            title_str += f"\n{' ' * 27}'{line}'"
-
-        if wrapped_description:
-            base_indent: str = '_project.description      '
-            indent_spaces: str = ' ' * len(base_indent)
-            formatted_description: str = f"{base_indent}'{wrapped_description[0]}"
-            for line in wrapped_description[1:]:
-                formatted_description += f'\n{indent_spaces}{line}'
-            formatted_description += "'"
-        else:
-            formatted_description: str = "_project.description      ''"
-
-        return (
-            f'_project.id               {self.name}\n'
-            f'{title_str}\n'
-            f'{formatted_description}\n'
-            f"_project.created          '{self._created.strftime('%d %b %Y %H:%M:%S')}'\n"
-            f"_project.last_modified    '{self._last_modified.strftime('%d %b %Y %H:%M:%S')}'\n"
-        )
-
-    def show_as_cif(self) -> None:
-        cif_text: str = self.as_cif()
-        paragraph_title: str = paragraph(f"Project 📦 '{self.name}' info as cif")
-        render_cif(cif_text, paragraph_title)
-
-
-class Project:
-    """Central API for managing a diffraction data analysis project.
-
-    Provides access to sample models, experiments, analysis, and
-    summary.
-    """
-
-    def __init__(
-        self,
-        name: str = 'untitled_project',
-        title: str = 'Untitled Project',
-        description: str = '',
-    ) -> None:
-        self.info: ProjectInfo = ProjectInfo()
-        self.info.name = name
-        self.info.title = title
-        self.info.description = description
-        self.sample_models = SampleModels()
-        self.experiments = Experiments()
-        self.plotter = Plotter()
-        self.analysis = Analysis(self)
-        self.summary = Summary(self)
-        self._saved = False
-        self._varname = varname()
-
-    @property
-    def name(self) -> str:
-        """Convenience property to access the project's name
-        directly.
-        """
-        return self.info.name
-
-    # ------------------------------------------
-    #  Project File I/O
-    # ------------------------------------------
-
-    def load(self, dir_path: str) -> None:
-        """Load a project from a given directory.
-
-        Loads project info, sample models, experiments, etc.
-        """
-        print(paragraph(f'Loading project 📦 from {dir_path}'))
-        print(dir_path)
-        self.info.path = dir_path
-        # TODO: load project components from files inside dir_path
-        print('Loading project is not implemented yet.')
-        self._saved = True
-
-    def save_as(
-        self,
-        dir_path: str,
-        temporary: bool = False,
-    ) -> None:
-        """Save the project into a new directory."""
-        if temporary:
-            tmp: str = tempfile.gettempdir()
-            dir_path = pathlib.Path(tmp) / dir_path
-        self.info.path = dir_path
-        self.save()
-
-    def save(self) -> None:
-        """Save the project into the existing project directory."""
-        if not self.info.path:
-            print(error('Project path not specified. Use save_as() to define the path first.'))
-            return
-
-        print(paragraph(f"Saving project 📦 '{self.name}' to"))
-        print(self.info.path.resolve())
-
-        # Ensure project directory exists
-        self.info.path.mkdir(parents=True, exist_ok=True)
-
-        # Save project info
-        with (self.info.path / 'project.cif').open('w') as f:
-            f.write(self.info.as_cif())
-            print('✅ project.cif')
-
-        # Save sample models
-        sm_dir = self.info.path / 'sample_models'
-        sm_dir.mkdir(parents=True, exist_ok=True)
-        for model in self.sample_models:
-            file_name: str = f'{model.name}.cif'
-            file_path = sm_dir / file_name
-            with file_path.open('w') as f:
-                f.write(model.as_cif())
-                print(f'✅ sample_models/{file_name}')
-
-        # Save experiments
-        expt_dir = self.info.path / 'experiments'
-        expt_dir.mkdir(parents=True, exist_ok=True)
-        for experiment in self.experiments:
-            file_name: str = f'{experiment.name}.cif'
-            file_path = expt_dir / file_name
-            with file_path.open('w') as f:
-                f.write(experiment.as_cif())
-                print(f'✅ experiments/{file_name}')
-
-        # Save analysis
-        with (self.info.path / 'analysis.cif').open('w') as f:
-            f.write(self.analysis.as_cif())
-            print('✅ analysis.cif')
-
-        # Save summary
-        with (self.info.path / 'summary.cif').open('w') as f:
-            f.write(self.summary.as_cif())
-            print('✅ summary.cif')
-
-        self.info.update_last_modified()
-        self._saved = True
-
-    # ------------------------------------------
-    #  Sample Models API Convenience Methods
-    # ------------------------------------------
-
-    def set_sample_models(self, sample_models: SampleModels) -> None:
-        """Attach a collection of sample models to the project."""
-        self.sample_models = sample_models
-
-    def set_experiments(self, experiments: Experiments) -> None:
-        """Attach a collection of experiments to the project."""
-        self.experiments = experiments
-
-    # ------------------------------------------
-    # Plotting
-    # ------------------------------------------
-
-    def plot_meas(
-        self,
-        expt_name,
-        x_min=None,
-        x_max=None,
-        d_spacing=False,
-    ):
-        experiment = self.experiments[expt_name]
-        datastore = experiment.datastore
-        expt_type = experiment.type
-
-        # Update d-spacing if necessary
-        # TODO: This is done before every plot, and not when parameters
-        #  needed for d-spacing conversion are changed. The reason is
-        #  to minimize the performance impact during the fitting
-        #  process. Need to find a better way to handle this.
-        if d_spacing:
-            self.update_pattern_d_spacing(expt_name)
-
-        # Plot measured pattern
-        self.plotter.plot_meas(
-            datastore,
-            expt_name,
-            expt_type,
-            x_min=x_min,
-            x_max=x_max,
-            d_spacing=d_spacing,
-        )
-
-    def plot_calc(
-        self,
-        expt_name,
-        x_min=None,
-        x_max=None,
-        d_spacing=False,
-    ):
-        self.analysis.calculate_pattern(expt_name)  # Recalculate pattern
-        experiment = self.experiments[expt_name]
-        datastore = experiment.datastore
-        expt_type = experiment.type
-
-        # Update d-spacing if necessary
-        # TODO: This is done before every plot, and not when parameters
-        #  needed for d-spacing conversion are changed. The reason is
-        #  to minimize the performance impact during the fitting
-        #  process. Need to find a better way to handle this.
-        if d_spacing:
-            self.update_pattern_d_spacing(expt_name)
-
-        # Plot calculated pattern
-        self.plotter.plot_calc(
-            datastore,
-            expt_name,
-            expt_type,
-            x_min=x_min,
-            x_max=x_max,
-            d_spacing=d_spacing,
-        )
-
-    def plot_meas_vs_calc(
-        self,
-        expt_name,
-        x_min=None,
-        x_max=None,
-        show_residual=False,
-        d_spacing=False,
-    ):
-        self.analysis.calculate_pattern(expt_name)  # Recalculate pattern
-        experiment = self.experiments[expt_name]
-        datastore = experiment.datastore
-        expt_type = experiment.type
-
-        # Update d-spacing if necessary
-        # TODO: This is done before every plot, and not when parameters
-        #  needed for d-spacing conversion are changed. The reason is
-        #  to minimize the performance impact during the fitting
-        #  process. Need to find a better way to handle this.
-        if d_spacing:
-            self.update_pattern_d_spacing(expt_name)
-
-        # Plot measured vs calculated
-        self.plotter.plot_meas_vs_calc(
-            datastore,
-            expt_name,
-            expt_type,
-            x_min=x_min,
-            x_max=x_max,
-            show_residual=show_residual,
-            d_spacing=d_spacing,
-        )
-
-    def update_pattern_d_spacing(self, expt_name: str) -> None:
-        """Update the pattern's d-spacing based on the experiment's beam
-        mode.
-        """
-        experiment = self.experiments[expt_name]
-        datastore = experiment.datastore
-        expt_type = experiment.type
-        beam_mode = expt_type.beam_mode.value
-
-        if beam_mode == BeamModeEnum.TIME_OF_FLIGHT:
-            datastore.d = tof_to_d(
-                datastore.x,
-                experiment.instrument.calib_d_to_tof_offset.value,
-                experiment.instrument.calib_d_to_tof_linear.value,
-                experiment.instrument.calib_d_to_tof_quad.value,
-            )
-        elif beam_mode == BeamModeEnum.CONSTANT_WAVELENGTH:
-            datastore.d = twotheta_to_d(
-                datastore.x,
-                experiment.instrument.setup_wavelength.value,
-            )
-        else:
-            print(error(f'Unsupported beam mode: {beam_mode} for d-spacing update.'))
diff --git a/src/easydiffraction/project/__init__.py b/src/easydiffraction/project/__init__.py
new file mode 100644
index 00000000..3e95b5e9
--- /dev/null
+++ b/src/easydiffraction/project/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
diff --git a/src/easydiffraction/project/project.py b/src/easydiffraction/project/project.py
new file mode 100644
index 00000000..f09e94cd
--- /dev/null
+++ b/src/easydiffraction/project/project.py
@@ -0,0 +1,289 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Project facade to orchestrate models, experiments, and analysis."""
+
+import pathlib
+import tempfile
+
+from typeguard import typechecked
+from varname import varname
+
+from easydiffraction.analysis.analysis import Analysis
+from easydiffraction.core.guard import GuardedBase
+from easydiffraction.display.plotting import Plotter
+from easydiffraction.display.tables import TableRenderer
+from easydiffraction.experiments.experiments import Experiments
+from easydiffraction.io.cif.serialize import project_to_cif
+from easydiffraction.project.project_info import ProjectInfo
+from easydiffraction.sample_models.sample_models import SampleModels
+from easydiffraction.summary.summary import Summary
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+
+
+class Project(GuardedBase):
+    """Central API for managing a diffraction data analysis project.
+
+    Provides access to sample models, experiments, analysis, and
+    summary.
+    """
+
+    # ------------------------------------------------------------------
+    # Initialization
+    # ------------------------------------------------------------------
+    def __init__(
+        self,
+        name: str = 'untitled_project',
+        title: str = 'Untitled Project',
+        description: str = '',
+    ) -> None:
+        super().__init__()
+
+        self._info: ProjectInfo = ProjectInfo(name, title, description)
+        self._sample_models = SampleModels()
+        self._experiments = Experiments()
+        self._tabler = TableRenderer.get()
+        self._plotter = Plotter()
+        self._analysis = Analysis(self)
+        self._summary = Summary(self)
+        self._saved = False
+        self._varname = varname()
+
+    # ------------------------------------------------------------------
+    # Dunder methods
+    # ------------------------------------------------------------------
+    def __str__(self) -> str:
+        """Human-readable representation."""
+        class_name = self.__class__.__name__
+        project_name = self.name
+        sample_models_count = len(self.sample_models)
+        experiments_count = len(self.experiments)
+        return (
+            f"{class_name} '{project_name}' "
+            f'({sample_models_count} sample models, '
+            f'{experiments_count} experiments)'
+        )
+
+    # ------------------------------------------------------------------
+    # Public read-only properties
+    # ------------------------------------------------------------------
+
+    @property
+    def info(self) -> ProjectInfo:
+        """Project metadata container."""
+        return self._info
+
+    @property
+    def name(self) -> str:
+        """Convenience property to access the project's name
+        directly.
+        """
+        return self._info.name
+
+    @property
+    def full_name(self) -> str:
+        return self.name
+
+    @property
+    def sample_models(self) -> SampleModels:
+        """Collection of sample models in the project."""
+        return self._sample_models
+
+    @sample_models.setter
+    @typechecked
+    def sample_models(self, sample_models: SampleModels) -> None:
+        self._sample_models = sample_models
+
+    @property
+    def experiments(self):
+        """Collection of experiments in the project."""
+        return self._experiments
+
+    @experiments.setter
+    @typechecked
+    def experiments(self, experiments: Experiments):
+        self._experiments = experiments
+
+    @property
+    def plotter(self):
+        """Plotting facade bound to the project."""
+        return self._plotter
+
+    @property
+    def tabler(self):
+        """Tables rendering facade bound to the project."""
+        return self._tabler
+
+    @property
+    def analysis(self):
+        """Analysis entry-point bound to the project."""
+        return self._analysis
+
+    @property
+    def summary(self):
+        """Summary report builder bound to the project."""
+        return self._summary
+
+    @property
+    def parameters(self):
+        """Return parameters from all components (TBD)."""
+        # To be implemented: return all parameters in the project
+        return []
+
+    @property
+    def as_cif(self):
+        """Export whole project as CIF text."""
+        # Concatenate sections using centralized CIF serializers
+        return project_to_cif(self)
+
+    # ------------------------------------------
+    #  Project File I/O
+    # ------------------------------------------
+
+    def load(self, dir_path: str) -> None:
+        """Load a project from a given directory.
+
+        Loads project info, sample models, experiments, etc.
+        """
+        console.paragraph('Loading project 📦 from')
+        console.print(dir_path)
+        self._info.path = dir_path
+        # TODO: load project components from files inside dir_path
+        console.print('Loading project is not implemented yet.')
+        self._saved = True
+
+    def save(self) -> None:
+        """Save the project into the existing project directory."""
+        if not self._info.path:
+            log.error('Project path not specified. Use save_as() to define the path first.')
+            return
+
+        console.paragraph(f"Saving project 📦 '{self.name}' to")
+        console.print(self.info.path.resolve())
+
+        # Ensure project directory exists
+        self._info.path.mkdir(parents=True, exist_ok=True)
+
+        # Save project info
+        with (self._info.path / 'project.cif').open('w') as f:
+            f.write(self._info.as_cif())
+            console.print('├── 📄 project.cif')
+
+        # Save sample models
+        sm_dir = self._info.path / 'sample_models'
+        sm_dir.mkdir(parents=True, exist_ok=True)
+        # Iterate over sample model objects (MutableMapping iter gives
+        # keys)
+        for model in self.sample_models.values():
+            file_name: str = f'{model.name}.cif'
+            file_path = sm_dir / file_name
+            console.print('├── 📁 sample_models')
+            with file_path.open('w') as f:
+                f.write(model.as_cif)
+                console.print(f'│   └── 📄 {file_name}')
+
+        # Save experiments
+        expt_dir = self._info.path / 'experiments'
+        expt_dir.mkdir(parents=True, exist_ok=True)
+        for experiment in self.experiments.values():
+            file_name: str = f'{experiment.name}.cif'
+            file_path = expt_dir / file_name
+            console.print('├── 📁 experiments')
+            with file_path.open('w') as f:
+                f.write(experiment.as_cif)
+                console.print(f'│   └── 📄 {file_name}')
+
+        # Save analysis
+        with (self._info.path / 'analysis.cif').open('w') as f:
+            f.write(self.analysis.as_cif())
+            console.print('├── 📄 analysis.cif')
+
+        # Save summary
+        with (self._info.path / 'summary.cif').open('w') as f:
+            f.write(self.summary.as_cif())
+            console.print('└── 📄 summary.cif')
+
+        self._info.update_last_modified()
+        self._saved = True
+
+    def save_as(
+        self,
+        dir_path: str,
+        temporary: bool = False,
+    ) -> None:
+        """Save the project into a new directory."""
+        if temporary:
+            tmp: str = tempfile.gettempdir()
+            dir_path = pathlib.Path(tmp) / dir_path
+        self._info.path = dir_path
+        self.save()
+
+    # ------------------------------------------
+    # Plotting
+    # ------------------------------------------
+
+    def _update_categories(self, expt_name) -> None:
+        for sample_model in self.sample_models:
+            sample_model._update_categories()
+        self.analysis._update_categories()
+        experiment = self.experiments[expt_name]
+        experiment._update_categories()
+
+    def plot_meas(
+        self,
+        expt_name,
+        x_min=None,
+        x_max=None,
+        d_spacing=False,
+    ):
+        self._update_categories(expt_name)
+        experiment = self.experiments[expt_name]
+
+        self.plotter.plot_meas(
+            experiment.data,
+            expt_name,
+            experiment.type,
+            x_min=x_min,
+            x_max=x_max,
+            d_spacing=d_spacing,
+        )
+
+    def plot_calc(
+        self,
+        expt_name,
+        x_min=None,
+        x_max=None,
+        d_spacing=False,
+    ):
+        self._update_categories(expt_name)
+        experiment = self.experiments[expt_name]
+
+        self.plotter.plot_calc(
+            experiment.data,
+            expt_name,
+            experiment.type,
+            x_min=x_min,
+            x_max=x_max,
+            d_spacing=d_spacing,
+        )
+
+    def plot_meas_vs_calc(
+        self,
+        expt_name,
+        x_min=None,
+        x_max=None,
+        show_residual=False,
+        d_spacing=False,
+    ):
+        self._update_categories(expt_name)
+        experiment = self.experiments[expt_name]
+
+        self.plotter.plot_meas_vs_calc(
+            experiment.data,
+            expt_name,
+            experiment.type,
+            x_min=x_min,
+            x_max=x_max,
+            show_residual=show_residual,
+            d_spacing=d_spacing,
+        )
diff --git a/src/easydiffraction/project/project_info.py b/src/easydiffraction/project/project_info.py
new file mode 100644
index 00000000..13efafbe
--- /dev/null
+++ b/src/easydiffraction/project/project_info.py
@@ -0,0 +1,105 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Project metadata container used by Project."""
+
+import datetime
+import pathlib
+
+from easydiffraction.core.guard import GuardedBase
+from easydiffraction.io.cif.serialize import project_info_to_cif
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.utils import render_cif
+
+
+class ProjectInfo(GuardedBase):
+    """Stores metadata about the project, such as name, title,
+    description, and file paths.
+    """
+
+    def __init__(
+        self,
+        name: str = 'untitled_project',
+        title: str = 'Untitled Project',
+        description: str = '',
+    ) -> None:
+        super().__init__()
+
+        self._name = name
+        self._title = title
+        self._description = description
+        self._path: pathlib.Path = pathlib.Path.cwd()
+        self._created: datetime.datetime = datetime.datetime.now()
+        self._last_modified: datetime.datetime = datetime.datetime.now()
+
+    @property
+    def name(self) -> str:
+        """Return the project name."""
+        return self._name
+
+    @name.setter
+    def name(self, value: str) -> None:
+        self._name = value
+
+    @property
+    def unique_name(self) -> str:
+        """Unique name for GuardedBase diagnostics."""
+        return self.name
+
+    @property
+    def title(self) -> str:
+        """Return the project title."""
+        return self._title
+
+    @title.setter
+    def title(self, value: str) -> None:
+        self._title = value
+
+    @property
+    def description(self) -> str:
+        """Return sanitized description with single spaces."""
+        return ' '.join(self._description.split())
+
+    @description.setter
+    def description(self, value: str) -> None:
+        self._description = ' '.join(value.split())
+
+    @property
+    def path(self) -> pathlib.Path:
+        """Return the project path as a Path object."""
+        return self._path
+
+    @path.setter
+    def path(self, value) -> None:
+        # Accept str or Path; normalize to Path
+        self._path = pathlib.Path(value)
+
+    @property
+    def created(self) -> datetime.datetime:
+        """Return the creation timestamp."""
+        return self._created
+
+    @property
+    def last_modified(self) -> datetime.datetime:
+        """Return the last modified timestamp."""
+        return self._last_modified
+
+    def update_last_modified(self) -> None:
+        """Update the last modified timestamp."""
+        self._last_modified = datetime.datetime.now()
+
+    def parameters(self):
+        """Placeholder for parameter listing."""
+        pass
+
+    # TODO: Consider moving to io.cif.serialize
+    def as_cif(self) -> str:
+        """Export project metadata to CIF."""
+        return project_info_to_cif(self)
+
+    # TODO: Consider moving to io.cif.serialize
+    def show_as_cif(self) -> None:
+        """Pretty-print CIF via shared utilities."""
+        paragraph_title: str = f"Project 📦 '{self.name}' info as CIF"
+        cif_text: str = self.as_cif()
+        console.paragraph(paragraph_title)
+        render_cif(cif_text)
diff --git a/src/easydiffraction/sample_models/categories/__init__.py b/src/easydiffraction/sample_models/categories/__init__.py
new file mode 100644
index 00000000..3e95b5e9
--- /dev/null
+++ b/src/easydiffraction/sample_models/categories/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
diff --git a/src/easydiffraction/sample_models/categories/atom_sites.py b/src/easydiffraction/sample_models/categories/atom_sites.py
new file mode 100644
index 00000000..5d21b05d
--- /dev/null
+++ b/src/easydiffraction/sample_models/categories/atom_sites.py
@@ -0,0 +1,334 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Atom site category.
+
+Defines AtomSite items and AtomSites collection used in sample models.
+Only documentation was added; behavior remains unchanged.
+"""
+
+from cryspy.A_functions_base.database import DATABASE
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import MembershipValidator
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.core.validation import RegexValidator
+from easydiffraction.crystallography import crystallography as ecr
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class AtomSite(CategoryItem):
+    """Single atom site with fractional coordinates and ADP.
+
+    Attributes are represented by descriptors to support validation and
+    CIF serialization.
+    """
+
+    def __init__(
+        self,
+        *,
+        label=None,
+        type_symbol=None,
+        fract_x=None,
+        fract_y=None,
+        fract_z=None,
+        wyckoff_letter=None,
+        occupancy=None,
+        b_iso=None,
+        adp_type=None,
+    ) -> None:
+        super().__init__()
+
+        self._label: StringDescriptor = StringDescriptor(
+            name='label',
+            description='Unique identifier for the atom site.',
+            value_spec=AttributeSpec(
+                value=label,
+                type_=DataTypes.STRING,
+                default='Si',
+                # TODO: the following pattern is valid for dict key
+                #  (keywords are not checked). CIF label is less strict.
+                #  Do we need conversion between CIF and internal label?
+                content_validator=RegexValidator(pattern=r'^[A-Za-z_][A-Za-z0-9_]*$'),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.label',
+                ]
+            ),
+        )
+        self._type_symbol: StringDescriptor = StringDescriptor(
+            name='type_symbol',
+            description='Chemical symbol of the atom at this site.',
+            value_spec=AttributeSpec(
+                value=type_symbol,
+                type_=DataTypes.STRING,
+                default='Tb',
+                content_validator=MembershipValidator(allowed=self._type_symbol_allowed_values),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.type_symbol',
+                ]
+            ),
+        )
+        self._fract_x: Parameter = Parameter(
+            name='fract_x',
+            description='Fractional x-coordinate of the atom site within the unit cell.',
+            value_spec=AttributeSpec(
+                value=fract_x,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.fract_x',
+                ]
+            ),
+        )
+        self._fract_y: Parameter = Parameter(
+            name='fract_y',
+            description='Fractional y-coordinate of the atom site within the unit cell.',
+            value_spec=AttributeSpec(
+                value=fract_y,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.fract_y',
+                ]
+            ),
+        )
+        self._fract_z: Parameter = Parameter(
+            name='fract_z',
+            description='Fractional z-coordinate of the atom site within the unit cell.',
+            value_spec=AttributeSpec(
+                value=fract_z,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.fract_z',
+                ]
+            ),
+        )
+        self._wyckoff_letter: StringDescriptor = StringDescriptor(
+            name='wyckoff_letter',
+            description='Wyckoff letter indicating the symmetry of the '
+            'atom site within the space group.',
+            value_spec=AttributeSpec(
+                value=wyckoff_letter,
+                type_=DataTypes.STRING,
+                default=self._wyckoff_letter_default_value,
+                content_validator=MembershipValidator(allowed=self._wyckoff_letter_allowed_values),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.Wyckoff_letter',
+                    '_atom_site.Wyckoff_symbol',
+                ]
+            ),
+        )
+        self._occupancy: Parameter = Parameter(
+            name='occupancy',
+            description='Occupancy of the atom site, representing the '
+            'fraction of the site occupied by the atom type.',
+            value_spec=AttributeSpec(
+                value=occupancy,
+                type_=DataTypes.NUMERIC,
+                default=1.0,
+                content_validator=RangeValidator(),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.occupancy',
+                ]
+            ),
+        )
+        self._b_iso: Parameter = Parameter(
+            name='b_iso',
+            description='Isotropic atomic displacement parameter (ADP) for the atom site.',
+            value_spec=AttributeSpec(
+                value=b_iso,
+                type_=DataTypes.NUMERIC,
+                default=0.0,
+                content_validator=RangeValidator(ge=0.0),
+            ),
+            units='Ų',
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.B_iso_or_equiv',
+                ]
+            ),
+        )
+        self._adp_type: StringDescriptor = StringDescriptor(
+            name='adp_type',
+            description='Type of atomic displacement parameter (ADP) '
+            'used (e.g., Biso, Uiso, Uani, Bani).',
+            value_spec=AttributeSpec(
+                value=adp_type,
+                type_=DataTypes.STRING,
+                default='Biso',
+                content_validator=MembershipValidator(allowed=['Biso']),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_atom_site.adp_type',
+                ]
+            ),
+        )
+
+        self._identity.category_code = 'atom_site'
+        self._identity.category_entry_name = lambda: str(self.label.value)
+
+    @property
+    def _type_symbol_allowed_values(self):
+        return list({key[1] for key in DATABASE['Isotopes']})
+
+    @property
+    def _wyckoff_letter_allowed_values(self):
+        # TODO: Need to now current space group. How to access it? Via
+        #  parent Cell? Then letters =
+        #  list(SPACE_GROUPS[62, 'cab']['Wyckoff_positions'].keys())
+        #  Temporarily return hardcoded list:
+        return ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i']
+
+    @property
+    def _wyckoff_letter_default_value(self):
+        # TODO: What to pass as default?
+        return self._wyckoff_letter_allowed_values[0]
+
+    @property
+    def label(self):
+        """Label descriptor for the site (unique key)."""
+        return self._label
+
+    @label.setter
+    def label(self, value):
+        self._label.value = value
+
+    @property
+    def type_symbol(self):
+        """Chemical symbol descriptor (e.g. 'Si')."""
+        return self._type_symbol
+
+    @type_symbol.setter
+    def type_symbol(self, value):
+        self._type_symbol.value = value
+
+    @property
+    def adp_type(self):
+        """ADP type descriptor (e.g. 'Biso')."""
+        return self._adp_type
+
+    @adp_type.setter
+    def adp_type(self, value):
+        self._adp_type.value = value
+
+    @property
+    def wyckoff_letter(self):
+        """Wyckoff letter descriptor (space-group position)."""
+        return self._wyckoff_letter
+
+    @wyckoff_letter.setter
+    def wyckoff_letter(self, value):
+        self._wyckoff_letter.value = value
+
+    @property
+    def fract_x(self):
+        """Fractional x coordinate descriptor."""
+        return self._fract_x
+
+    @fract_x.setter
+    def fract_x(self, value):
+        self._fract_x.value = value
+
+    @property
+    def fract_y(self):
+        """Fractional y coordinate descriptor."""
+        return self._fract_y
+
+    @fract_y.setter
+    def fract_y(self, value):
+        self._fract_y.value = value
+
+    @property
+    def fract_z(self):
+        """Fractional z coordinate descriptor."""
+        return self._fract_z
+
+    @fract_z.setter
+    def fract_z(self, value):
+        self._fract_z.value = value
+
+    @property
+    def occupancy(self):
+        """Occupancy descriptor (0..1)."""
+        return self._occupancy
+
+    @occupancy.setter
+    def occupancy(self, value):
+        self._occupancy.value = value
+
+    @property
+    def b_iso(self):
+        """Isotropic ADP descriptor in Ų."""
+        return self._b_iso
+
+    @b_iso.setter
+    def b_iso(self, value):
+        self._b_iso.value = value
+
+
+class AtomSites(CategoryCollection):
+    """Collection of AtomSite instances."""
+
+    def __init__(self):
+        super().__init__(item_type=AtomSite)
+
+    def _apply_atomic_coordinates_symmetry_constraints(self):
+        """Apply symmetry rules to fractional coordinates of atom
+        sites.
+        """
+        sample_model = self._parent
+        space_group_name = sample_model.space_group.name_h_m.value
+        space_group_coord_code = sample_model.space_group.it_coordinate_system_code.value
+        for atom in self._items:
+            dummy_atom = {
+                'fract_x': atom.fract_x.value,
+                'fract_y': atom.fract_y.value,
+                'fract_z': atom.fract_z.value,
+            }
+            wl = atom.wyckoff_letter.value
+            if not wl:
+                # TODO: Decide how to handle this case
+                #  For now, we just skip applying constraints if wyckoff
+                #  letter is not set. Alternatively, could raise an
+                #  error or warning
+                #  print(f"Warning: Wyckoff letter is not ...")
+                #  raise ValueError("Wyckoff letter is not ...")
+                continue
+            ecr.apply_atom_site_symmetry_constraints(
+                atom_site=dummy_atom,
+                name_hm=space_group_name,
+                coord_code=space_group_coord_code,
+                wyckoff_letter=wl,
+            )
+            atom.fract_x.value = dummy_atom['fract_x']
+            atom.fract_y.value = dummy_atom['fract_y']
+            atom.fract_z.value = dummy_atom['fract_z']
+
+    def _update(self, called_by_minimizer=False):
+        """Update atom sites by applying symmetry constraints."""
+        del called_by_minimizer
+
+        self._apply_atomic_coordinates_symmetry_constraints()
diff --git a/src/easydiffraction/sample_models/categories/cell.py b/src/easydiffraction/sample_models/categories/cell.py
new file mode 100644
index 00000000..b09785e1
--- /dev/null
+++ b/src/easydiffraction/sample_models/categories/cell.py
@@ -0,0 +1,188 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Unit cell parameters category for sample models."""
+
+from typing import Optional
+
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.crystallography import crystallography as ecr
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class Cell(CategoryItem):
+    """Unit cell with lengths a, b, c and angles alpha, beta, gamma."""
+
+    def __init__(
+        self,
+        *,
+        length_a: Optional[int | float] = None,
+        length_b: Optional[int | float] = None,
+        length_c: Optional[int | float] = None,
+        angle_alpha: Optional[int | float] = None,
+        angle_beta: Optional[int | float] = None,
+        angle_gamma: Optional[int | float] = None,
+    ) -> None:
+        super().__init__()
+
+        self._length_a: Parameter = Parameter(
+            name='length_a',
+            description='Length of the a axis of the unit cell.',
+            value_spec=AttributeSpec(
+                value=length_a,
+                type_=DataTypes.NUMERIC,
+                default=10.0,
+                content_validator=RangeValidator(ge=0, le=1000),
+            ),
+            units='Å',
+            cif_handler=CifHandler(names=['_cell.length_a']),
+        )
+        self._length_b: Parameter = Parameter(
+            name='length_b',
+            description='Length of the b axis of the unit cell.',
+            value_spec=AttributeSpec(
+                value=length_b,
+                type_=DataTypes.NUMERIC,
+                default=10.0,
+                content_validator=RangeValidator(ge=0, le=1000),
+            ),
+            units='Å',
+            cif_handler=CifHandler(names=['_cell.length_b']),
+        )
+        self._length_c: Parameter = Parameter(
+            name='length_c',
+            description='Length of the c axis of the unit cell.',
+            value_spec=AttributeSpec(
+                value=length_c,
+                type_=DataTypes.NUMERIC,
+                default=10.0,
+                content_validator=RangeValidator(ge=0, le=1000),
+            ),
+            units='Å',
+            cif_handler=CifHandler(names=['_cell.length_c']),
+        )
+        self._angle_alpha: Parameter = Parameter(
+            name='angle_alpha',
+            description='Angle between edges b and c.',
+            value_spec=AttributeSpec(
+                value=angle_alpha,
+                type_=DataTypes.NUMERIC,
+                default=90.0,
+                content_validator=RangeValidator(ge=0, le=180),
+            ),
+            units='deg',
+            cif_handler=CifHandler(names=['_cell.angle_alpha']),
+        )
+        self._angle_beta: Parameter = Parameter(
+            name='angle_beta',
+            description='Angle between edges a and c.',
+            value_spec=AttributeSpec(
+                value=angle_beta,
+                type_=DataTypes.NUMERIC,
+                default=90.0,
+                content_validator=RangeValidator(ge=0, le=180),
+            ),
+            units='deg',
+            cif_handler=CifHandler(names=['_cell.angle_beta']),
+        )
+        self._angle_gamma: Parameter = Parameter(
+            name='angle_gamma',
+            description='Angle between edges a and b.',
+            value_spec=AttributeSpec(
+                value=angle_gamma,
+                type_=DataTypes.NUMERIC,
+                default=90.0,
+                content_validator=RangeValidator(ge=0, le=180),
+            ),
+            units='deg',
+            cif_handler=CifHandler(names=['_cell.angle_gamma']),
+        )
+
+        self._identity.category_code = 'cell'
+
+    @property
+    def length_a(self):
+        """Descriptor for a-axis length in Å."""
+        return self._length_a
+
+    @length_a.setter
+    def length_a(self, value):
+        self._length_a.value = value
+
+    @property
+    def length_b(self):
+        """Descriptor for b-axis length in Å."""
+        return self._length_b
+
+    @length_b.setter
+    def length_b(self, value):
+        self._length_b.value = value
+
+    @property
+    def length_c(self):
+        """Descriptor for c-axis length in Å."""
+        return self._length_c
+
+    @length_c.setter
+    def length_c(self, value):
+        self._length_c.value = value
+
+    @property
+    def angle_alpha(self):
+        """Descriptor for angle alpha in degrees."""
+        return self._angle_alpha
+
+    @angle_alpha.setter
+    def angle_alpha(self, value):
+        self._angle_alpha.value = value
+
+    @property
+    def angle_beta(self):
+        """Descriptor for angle beta in degrees."""
+        return self._angle_beta
+
+    @angle_beta.setter
+    def angle_beta(self, value):
+        self._angle_beta.value = value
+
+    @property
+    def angle_gamma(self):
+        """Descriptor for angle gamma in degrees."""
+        return self._angle_gamma
+
+    @angle_gamma.setter
+    def angle_gamma(self, value):
+        self._angle_gamma.value = value
+
+    def _apply_cell_symmetry_constraints(self):
+        """Apply symmetry constraints to cell parameters."""
+        dummy_cell = {
+            'lattice_a': self.length_a.value,
+            'lattice_b': self.length_b.value,
+            'lattice_c': self.length_c.value,
+            'angle_alpha': self.angle_alpha.value,
+            'angle_beta': self.angle_beta.value,
+            'angle_gamma': self.angle_gamma.value,
+        }
+        space_group_name = self._parent.space_group.name_h_m.value
+
+        ecr.apply_cell_symmetry_constraints(
+            cell=dummy_cell,
+            name_hm=space_group_name,
+        )
+
+        self.length_a.value = dummy_cell['lattice_a']
+        self.length_b.value = dummy_cell['lattice_b']
+        self.length_c.value = dummy_cell['lattice_c']
+        self.angle_alpha.value = dummy_cell['angle_alpha']
+        self.angle_beta.value = dummy_cell['angle_beta']
+        self.angle_gamma.value = dummy_cell['angle_gamma']
+
+    def _update(self, called_by_minimizer=False):
+        """Update cell parameters by applying symmetry constraints."""
+        del called_by_minimizer
+
+        self._apply_cell_symmetry_constraints()
diff --git a/src/easydiffraction/sample_models/categories/space_group.py b/src/easydiffraction/sample_models/categories/space_group.py
new file mode 100644
index 00000000..5b5f2f45
--- /dev/null
+++ b/src/easydiffraction/sample_models/categories/space_group.py
@@ -0,0 +1,107 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Space group category for crystallographic sample models."""
+
+from cryspy.A_functions_base.function_2_space_group import ACCESIBLE_NAME_HM_SHORT
+from cryspy.A_functions_base.function_2_space_group import (
+    get_it_coordinate_system_codes_by_it_number,
+)
+from cryspy.A_functions_base.function_2_space_group import get_it_number_by_name_hm_short
+
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import MembershipValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class SpaceGroup(CategoryItem):
+    """Space group with Hermann–Mauguin symbol and IT code."""
+
+    def __init__(
+        self,
+        *,
+        name_h_m: str = None,
+        it_coordinate_system_code: str = None,
+    ) -> None:
+        super().__init__()
+        self._name_h_m: StringDescriptor = StringDescriptor(
+            name='name_h_m',
+            description='Hermann-Mauguin symbol of the space group.',
+            value_spec=AttributeSpec(
+                value=name_h_m,
+                type_=DataTypes.STRING,
+                default='P 1',
+                content_validator=MembershipValidator(
+                    allowed=lambda: self._name_h_m_allowed_values
+                ),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_space_group.name_H-M_alt',
+                    '_space_group_name_H-M_alt',
+                    '_symmetry.space_group_name_H-M',
+                    '_symmetry_space_group_name_H-M',
+                ]
+            ),
+        )
+        self._it_coordinate_system_code: StringDescriptor = StringDescriptor(
+            name='it_coordinate_system_code',
+            description='A qualifier identifying which setting in IT is used.',
+            value_spec=AttributeSpec(
+                value=it_coordinate_system_code,
+                type_=DataTypes.STRING,
+                default=lambda: self._it_coordinate_system_code_default_value,
+                content_validator=MembershipValidator(
+                    allowed=lambda: self._it_coordinate_system_code_allowed_values
+                ),
+            ),
+            cif_handler=CifHandler(
+                names=[
+                    '_space_group.IT_coordinate_system_code',
+                    '_space_group_IT_coordinate_system_code',
+                    '_symmetry.IT_coordinate_system_code',
+                    '_symmetry_IT_coordinate_system_code',
+                ]
+            ),
+        )
+        self._identity.category_code = 'space_group'
+
+    def _reset_it_coordinate_system_code(self):
+        self._it_coordinate_system_code.value = self._it_coordinate_system_code_default_value
+
+    @property
+    def _name_h_m_allowed_values(self):
+        return ACCESIBLE_NAME_HM_SHORT
+
+    @property
+    def _it_coordinate_system_code_allowed_values(self):
+        name = self.name_h_m.value
+        it_number = get_it_number_by_name_hm_short(name)
+        codes = get_it_coordinate_system_codes_by_it_number(it_number)
+        codes = [str(code) for code in codes]
+        return codes if codes else ['']
+
+    @property
+    def _it_coordinate_system_code_default_value(self):
+        return self._it_coordinate_system_code_allowed_values[0]
+
+    @property
+    def name_h_m(self):
+        """Descriptor for Hermann–Mauguin symbol."""
+        return self._name_h_m
+
+    @name_h_m.setter
+    def name_h_m(self, value):
+        self._name_h_m.value = value
+        self._reset_it_coordinate_system_code()
+
+    @property
+    def it_coordinate_system_code(self):
+        """Descriptor for IT coordinate system code."""
+        return self._it_coordinate_system_code
+
+    @it_coordinate_system_code.setter
+    def it_coordinate_system_code(self, value):
+        self._it_coordinate_system_code.value = value
diff --git a/src/easydiffraction/sample_models/collections/atom_sites.py b/src/easydiffraction/sample_models/collections/atom_sites.py
deleted file mode 100644
index fc8af2ed..00000000
--- a/src/easydiffraction/sample_models/collections/atom_sites.py
+++ /dev/null
@@ -1,113 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.core.objects import Parameter
-
-
-class AtomSite(Component):
-    """Represents a single atom site within the crystal structure."""
-
-    @property
-    def category_key(self):
-        return 'atom_sites'
-
-    @property
-    def cif_category_key(self):
-        return 'atom_site'
-
-    def __init__(
-        self,
-        label: str,
-        type_symbol: str,
-        fract_x: float,
-        fract_y: float,
-        fract_z: float,
-        wyckoff_letter: str = None,
-        occupancy: float = 1.0,
-        b_iso: float = 0.0,
-        adp_type: str = 'Biso',
-    ):  # TODO: add support for Uiso, Uani and Bani
-        super().__init__()
-
-        self.label = Descriptor(
-            value=label,
-            name='label',
-            cif_name='label',
-            description='Unique identifier for the atom site.',
-        )
-        self.type_symbol = Descriptor(
-            value=type_symbol,
-            name='type_symbol',
-            cif_name='type_symbol',
-            description='Chemical symbol of the atom at this site.',
-        )
-        self.adp_type = Descriptor(
-            value=adp_type,
-            name='adp_type',
-            cif_name='ADP_type',
-            description='Type of atomic displacement parameter (ADP) '
-            'used (e.g., Biso, Uiso, Uani, Bani).',
-        )
-        self.wyckoff_letter = Descriptor(
-            value=wyckoff_letter,
-            name='wyckoff_letter',
-            cif_name='Wyckoff_letter',
-            description='Wyckoff letter indicating the symmetry of the '
-            'atom site within the space group.',
-        )
-        self.fract_x = Parameter(
-            value=fract_x,
-            name='fract_x',
-            cif_name='fract_x',
-            description='Fractional x-coordinate of the atom site within the unit cell.',
-        )
-        self.fract_y = Parameter(
-            value=fract_y,
-            name='fract_y',
-            cif_name='fract_y',
-            description='Fractional y-coordinate of the atom site within the unit cell.',
-        )
-        self.fract_z = Parameter(
-            value=fract_z,
-            name='fract_z',
-            cif_name='fract_z',
-            description='Fractional z-coordinate of the atom site within the unit cell.',
-        )
-        self.occupancy = Parameter(
-            value=occupancy,
-            name='occupancy',
-            cif_name='occupancy',
-            description='Occupancy of the atom site, representing the '
-            'fraction of the site occupied by the atom type.',
-        )
-        self.b_iso = Parameter(
-            value=b_iso,
-            name='b_iso',
-            units='Ų',
-            cif_name='B_iso_or_equiv',
-            description='Isotropic atomic displacement parameter (ADP) for the atom site.',
-        )
-        # Select which of the input parameters is used for the
-        # as ID for the whole object
-        self._entry_id = label
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
-
-
-class AtomSites(Collection):
-    """Collection of AtomSite instances."""
-
-    # TODO: Check, if we can get rid of this property
-    #  We could use class name instead
-    @property
-    def _type(self):
-        return 'category'  # datablock or category
-
-    @property
-    def _child_class(self):
-        return AtomSite
diff --git a/src/easydiffraction/sample_models/components/cell.py b/src/easydiffraction/sample_models/components/cell.py
deleted file mode 100644
index a40f784e..00000000
--- a/src/easydiffraction/sample_models/components/cell.py
+++ /dev/null
@@ -1,75 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Parameter
-
-
-class Cell(Component):
-    """Represents the unit cell parameters of a sample model."""
-
-    @property
-    def category_key(self) -> str:
-        return 'cell'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'cell'
-
-    def __init__(
-        self,
-        length_a: float = 10.0,
-        length_b: float = 10.0,
-        length_c: float = 10.0,
-        angle_alpha: float = 90.0,
-        angle_beta: float = 90.0,
-        angle_gamma: float = 90.0,
-    ) -> None:
-        super().__init__()
-
-        self.length_a = Parameter(
-            value=length_a,
-            name='length_a',
-            cif_name='length_a',
-            units='Å',
-            description='Length of the unit cell edge a.',
-        )
-        self.length_b = Parameter(
-            value=length_b,
-            name='length_b',
-            cif_name='length_b',
-            units='Å',
-            description='Length of the unit cell edge b.',
-        )
-        self.length_c = Parameter(
-            value=length_c,
-            name='length_c',
-            cif_name='length_c',
-            units='Å',
-            description='Length of the unit cell edge c.',
-        )
-        self.angle_alpha = Parameter(
-            value=angle_alpha,
-            name='angle_alpha',
-            cif_name='angle_alpha',
-            units='deg',
-            description='Angle between edges b and c.',
-        )
-        self.angle_beta = Parameter(
-            value=angle_beta,
-            name='angle_beta',
-            cif_name='angle_beta',
-            units='deg',
-            description='Angle between edges a and c.',
-        )
-        self.angle_gamma = Parameter(
-            value=angle_gamma,
-            name='angle_gamma',
-            cif_name='angle_gamma',
-            units='deg',
-            description='Angle between edges a and b.',
-        )
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked: bool = True
diff --git a/src/easydiffraction/sample_models/components/space_group.py b/src/easydiffraction/sample_models/components/space_group.py
deleted file mode 100644
index b300cea0..00000000
--- a/src/easydiffraction/sample_models/components/space_group.py
+++ /dev/null
@@ -1,43 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from typing import Optional
-
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Descriptor
-
-
-class SpaceGroup(Component):
-    """Represents the space group of a sample model."""
-
-    @property
-    def category_key(self) -> str:
-        return 'space_group'
-
-    @property
-    def cif_category_key(self) -> str:
-        return 'space_group'
-
-    def __init__(
-        self,
-        name_h_m: str = 'P 1',
-        it_coordinate_system_code: Optional[int] = None,
-    ) -> None:
-        super().__init__()
-
-        self.name_h_m = Descriptor(
-            value=name_h_m,
-            name='name_h_m',
-            cif_name='name_H-M_alt',
-            description='Hermann-Mauguin symbol of the space group.',
-        )
-        self.it_coordinate_system_code = Descriptor(
-            value=it_coordinate_system_code,
-            name='it_coordinate_system_code',
-            cif_name='IT_coordinate_system_code',
-            description='A qualifier identifying which setting in IT is used.',
-        )
-
-        # Lock further attribute additions to prevent
-        # accidental modifications by users
-        self._locked = True
diff --git a/src/easydiffraction/sample_models/sample_model/__init__.py b/src/easydiffraction/sample_models/sample_model/__init__.py
new file mode 100644
index 00000000..3e95b5e9
--- /dev/null
+++ b/src/easydiffraction/sample_models/sample_model/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
diff --git a/src/easydiffraction/sample_models/sample_model.py b/src/easydiffraction/sample_models/sample_model/base.py
similarity index 50%
rename from src/easydiffraction/sample_models/sample_model.py
rename to src/easydiffraction/sample_models/sample_model/base.py
index 6ce82842..844c8684 100644
--- a/src/easydiffraction/sample_models/sample_model.py
+++ b/src/easydiffraction/sample_models/sample_model/base.py
@@ -1,86 +1,99 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
 
-from easydiffraction.core.objects import Datablock
+from easydiffraction.core.datablock import DatablockItem
 from easydiffraction.crystallography import crystallography as ecr
-from easydiffraction.sample_models.collections.atom_sites import AtomSites
-from easydiffraction.sample_models.components.cell import Cell
-from easydiffraction.sample_models.components.space_group import SpaceGroup
-from easydiffraction.utils.decorators import enforce_type
-from easydiffraction.utils.formatting import paragraph
+from easydiffraction.sample_models.categories.atom_sites import AtomSites
+from easydiffraction.sample_models.categories.cell import Cell
+from easydiffraction.sample_models.categories.space_group import SpaceGroup
+from easydiffraction.utils.logging import console
 from easydiffraction.utils.utils import render_cif
 
 
-class SampleModel(Datablock):
-    """Represents an individual structural model of a sample.
+class SampleModelBase(DatablockItem):
+    """Base sample model and container for structural information.
 
-    Wraps crystallographic information including space group, cell, and
-    atomic sites.
+    Holds space group, unit cell and atom-site categories. The
+    factory is responsible for creating rich instances from CIF;
+    this base accepts just the ``name`` and exposes helpers for
+    applying symmetry.
     """
 
-    # TODO: Move cif_path and cif_str out of __init__ and into separate
-    #  methods
     def __init__(
         self,
-        name: str,
-        cif_path: str = None,
-        cif_str: str = None,
-    ):
+        *,
+        name,
+    ) -> None:
         super().__init__()
         self._name = name
-        self.space_group = SpaceGroup()
-        self.cell = Cell()
-        self.atom_sites = AtomSites()
-
-        if cif_path:
-            self.load_from_cif_file(cif_path)
-        elif cif_str:
-            self.load_from_cif_string(cif_str)
-
-    # -----------
-    # Space group
-    # -----------
+        self._cell: Cell = Cell()
+        self._space_group: SpaceGroup = SpaceGroup()
+        self._atom_sites: AtomSites = AtomSites()
+        self._identity.datablock_entry_name = lambda: self.name
+
+    def __str__(self) -> str:
+        """Human-readable representation of this component."""
+        name = self._log_name
+        items = ', '.join(
+            f'{k}={v}'
+            for k, v in {
+                'cell': self.cell,
+                'space_group': self.space_group,
+                'atom_sites': self.atom_sites,
+            }.items()
+        )
+        return f'<{name} ({items})>'
 
     @property
-    def space_group(self):
-        return self._space_group
+    def name(self) -> str:
+        """Model name.
 
-    @space_group.setter
-    @enforce_type
-    def space_group(self, new_space_group: SpaceGroup):
-        self._space_group = new_space_group
+        Returns:
+            The user-facing identifier for this model.
+        """
+        return self._name
 
-    # ----
-    # Cell
-    # ----
+    @name.setter
+    def name(self, new: str) -> None:
+        """Update model name."""
+        self._name = new
 
     @property
-    def cell(self):
+    def cell(self) -> Cell:
+        """Unit-cell category object."""
         return self._cell
 
     @cell.setter
-    @enforce_type
-    def cell(self, new_cell: Cell):
-        self._cell = new_cell
+    def cell(self, new: Cell) -> None:
+        """Replace the unit-cell category object."""
+        self._cell = new
 
-    # ----------
-    # Atom sites
-    # ----------
+    @property
+    def space_group(self) -> SpaceGroup:
+        """Space-group category object."""
+        return self._space_group
+
+    @space_group.setter
+    def space_group(self, new: SpaceGroup) -> None:
+        """Replace the space-group category object."""
+        self._space_group = new
 
     @property
-    def atom_sites(self):
+    def atom_sites(self) -> AtomSites:
+        """Atom-sites collection for this model."""
         return self._atom_sites
 
     @atom_sites.setter
-    @enforce_type
-    def atom_sites(self, new_atom_sites: AtomSites):
-        self._atom_sites = new_atom_sites
+    def atom_sites(self, new: AtomSites) -> None:
+        """Replace the atom-sites collection."""
+        self._atom_sites = new
 
     # --------------------
     # Symmetry constraints
     # --------------------
 
     def _apply_cell_symmetry_constraints(self):
+        """Apply symmetry rules to unit-cell parameters in place."""
         dummy_cell = {
             'lattice_a': self.cell.length_a.value,
             'lattice_b': self.cell.length_b.value,
@@ -99,6 +112,9 @@ def _apply_cell_symmetry_constraints(self):
         self.cell.angle_gamma.value = dummy_cell['angle_gamma']
 
     def _apply_atomic_coordinates_symmetry_constraints(self):
+        """Apply symmetry rules to fractional coordinates of atom
+        sites.
+        """
         space_group_name = self.space_group.name_h_m.value
         space_group_coord_code = self.space_group.it_coordinate_system_code.value
         for atom in self.atom_sites:
@@ -127,76 +143,41 @@ def _apply_atomic_coordinates_symmetry_constraints(self):
             atom.fract_z.value = dummy_atom['fract_z']
 
     def _apply_atomic_displacement_symmetry_constraints(self):
+        """Placeholder for ADP symmetry constraints (not
+        implemented).
+        """
         pass
 
-    def apply_symmetry_constraints(self):
+    def _apply_symmetry_constraints(self):
+        """Apply all available symmetry constraints to this model."""
         self._apply_cell_symmetry_constraints()
         self._apply_atomic_coordinates_symmetry_constraints()
         self._apply_atomic_displacement_symmetry_constraints()
 
-    # -----------------
-    # Creation from CIF
-    # -----------------
-
-    def load_from_cif_file(self, cif_path: str):
-        """Load model data from a CIF file."""
-        # TODO: Implement CIF parsing here
-        print(f'Loading SampleModel from CIF file: {cif_path}')
-        print('Not implemented yet.')
-
-    def load_from_cif_string(self, cif_str: str):
-        """Load model data from a CIF string."""
-        # TODO: Implement CIF parsing from a string
-        print('Loading SampleModel from CIF string.')
-        print('Not implemented yet.')
-        # Intentionally unused, to avoid linter warning unless
-        # implemented later
-        del cif_str
-
-    # -----------------
-    # Convertion to CIF
-    # -----------------
-
-    def as_cif(self) -> str:
-        """Export the sample model to CIF format.
-
-        Returns:
-            str: CIF string representation of the sample model.
-        """
-        # Data block header
-        cif_lines = [f'data_{self.name}']
-
-        # Space Group
-        cif_lines += ['', self.space_group.as_cif()]
-
-        # Unit Cell
-        cif_lines += ['', self.cell.as_cif()]
-
-        # Atom Sites
-        cif_lines += ['', self.atom_sites.as_cif()]
-
-        return '\n'.join(cif_lines)
-
     # ------------
     # Show methods
     # ------------
 
     def show_structure(self):
         """Show an ASCII projection of the structure on a 2D plane."""
-        print(paragraph(f"Sample model 🧩 '{self.name}' structure view"))
-        print('Not implemented yet.')
+        console.paragraph(f"Sample model 🧩 '{self.name}' structure view")
+        console.print('Not implemented yet.')
 
     def show_params(self):
-        """Display structural parameters (space group, unit cell, atomic
+        """Display structural parameters (space group, cell, atom
         sites).
         """
-        print(f'\nSampleModel ID: {self.name}')
-        print(f'Space group: {self.space_group.name_h_m}')
-        print(f'Cell parameters: {self.cell.as_dict()}')
-        print('Atom sites:')
+        console.print(f'\nSampleModel ID: {self.name}')
+        console.print(f'Space group: {self.space_group.name_h_m}')
+        console.print(f'Cell parameters: {self.cell.as_dict}')
+        console.print('Atom sites:')
         self.atom_sites.show()
 
     def show_as_cif(self) -> None:
-        cif_text: str = self.as_cif()
-        paragraph_title: str = paragraph(f"Sample model 🧩 '{self.name}' as cif")
-        render_cif(cif_text, paragraph_title)
+        """Render the CIF text for this model in a terminal-friendly
+        view.
+        """
+        cif_text: str = self.as_cif
+        paragraph_title: str = f"Sample model 🧩 '{self.name}' as cif"
+        console.paragraph(paragraph_title)
+        render_cif(cif_text)
diff --git a/src/easydiffraction/sample_models/sample_model/factory.py b/src/easydiffraction/sample_models/sample_model/factory.py
new file mode 100644
index 00000000..3fa0f91b
--- /dev/null
+++ b/src/easydiffraction/sample_models/sample_model/factory.py
@@ -0,0 +1,103 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Factory for creating sample models from simple inputs or CIF.
+
+Supports three argument combinations: ``name``, ``cif_path``, or
+``cif_str``. Returns a minimal ``SampleModelBase`` populated from CIF
+when provided, or an empty model with the given name.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from easydiffraction.core.factory import FactoryBase
+from easydiffraction.io.cif.parse import document_from_path
+from easydiffraction.io.cif.parse import document_from_string
+from easydiffraction.io.cif.parse import name_from_block
+from easydiffraction.io.cif.parse import pick_sole_block
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
+
+if TYPE_CHECKING:
+    import gemmi
+
+
+class SampleModelFactory(FactoryBase):
+    """Create ``SampleModelBase`` instances from supported inputs."""
+
+    _ALLOWED_ARG_SPECS = [
+        {'required': ['name'], 'optional': []},
+        {'required': ['cif_path'], 'optional': []},
+        {'required': ['cif_str'], 'optional': []},
+    ]
+
+    @classmethod
+    def _create_from_gemmi_block(
+        cls,
+        block: gemmi.cif.Block,
+    ) -> SampleModelBase:
+        """Build a model instance from a single CIF block."""
+        name = name_from_block(block)
+        sample_model = SampleModelBase(name=name)
+        for category in sample_model.categories:
+            category.from_cif(block)
+        return sample_model
+
+    @classmethod
+    def _create_from_cif_path(
+        cls,
+        cif_path: str,
+    ) -> SampleModelBase:
+        """Create a model by reading and parsing a CIF file."""
+        doc = document_from_path(cif_path)
+        block = pick_sole_block(doc)
+        return cls._create_from_gemmi_block(block)
+
+    @classmethod
+    def _create_from_cif_str(
+        cls,
+        cif_str: str,
+    ) -> SampleModelBase:
+        """Create a model by parsing a CIF string."""
+        doc = document_from_string(cif_str)
+        block = pick_sole_block(doc)
+        return cls._create_from_gemmi_block(block)
+
+    @classmethod
+    def _create_minimal(
+        cls,
+        name: str,
+    ) -> SampleModelBase:
+        """Create a minimal default model with just a name."""
+        return SampleModelBase(name=name)
+
+    @classmethod
+    def create(cls, **kwargs):
+        """Create a model based on a validated argument combination.
+
+        Keyword Args:
+            name: Name of the sample model to create.
+            cif_path: Path to a CIF file to parse.
+            cif_str: Raw CIF string to parse.
+            **kwargs: Extra args are ignored if None; only the above
+                three keys are supported.
+
+        Returns:
+            SampleModelBase: A populated or empty model instance.
+        """
+        # TODO: move to FactoryBase
+        # Check for valid argument combinations
+        user_args = {k for k, v in kwargs.items() if v is not None}
+        cls._validate_args(
+            present=user_args,
+            allowed_specs=cls._ALLOWED_ARG_SPECS,
+            factory_name=cls.__name__,  # TODO: move to FactoryBase
+        )
+
+        # Dispatch to the appropriate creation method
+        if 'cif_path' in kwargs:
+            return cls._create_from_cif_path(kwargs['cif_path'])
+        elif 'cif_str' in kwargs:
+            return cls._create_from_cif_str(kwargs['cif_str'])
+        elif 'name' in kwargs:
+            return cls._create_minimal(kwargs['name'])
diff --git a/src/easydiffraction/sample_models/sample_models.py b/src/easydiffraction/sample_models/sample_models.py
index 0f845073..99277b9b 100644
--- a/src/easydiffraction/sample_models/sample_models.py
+++ b/src/easydiffraction/sample_models/sample_models.py
@@ -1,124 +1,87 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
 
-from typing import List
-from typing import Optional
+from typeguard import typechecked
 
-from easydiffraction.core.objects import Collection
-from easydiffraction.sample_models.sample_model import SampleModel
-from easydiffraction.utils.decorators import enforce_type
-from easydiffraction.utils.formatting import paragraph
+from easydiffraction.core.datablock import DatablockCollection
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
+from easydiffraction.sample_models.sample_model.factory import SampleModelFactory
+from easydiffraction.utils.logging import console
 
 
-class SampleModels(Collection):
+class SampleModels(DatablockCollection):
     """Collection manager for multiple SampleModel instances."""
 
-    @property
-    def _child_class(self):
-        return SampleModel
-
     def __init__(self) -> None:
-        super().__init__()  # Initialize Collection
-        self._models = self._items  # Alias for legacy support
-
-    def add(
-        self,
-        model: Optional[SampleModel] = None,
-        name: Optional[str] = None,
-        cif_path: Optional[str] = None,
-        cif_str: Optional[str] = None,
-    ) -> None:
-        """Add a new sample model to the collection.
-        Dispatches based on input type: pre-built model or parameters
-        for new creation.
-
-        Args:
-            model: An existing SampleModel instance.
-            name: Name for a new model if created from scratch.
-            cif_path: Path to a CIF file to create a model from.
-            cif_str: CIF content as string to create a model from.
-        """
-        if model:
-            self._add_prebuilt_sample_model(model)
-        else:
-            self._create_and_add_sample_model(name, cif_path, cif_str)
-
+        super().__init__(item_type=SampleModelBase)
+
+    # --------------------
+    # Add / Remove methods
+    # --------------------
+
+    # TODO: Move to DatablockCollection?
+    # TODO: Disallow args and only allow kwargs?
+    def add(self, **kwargs):
+        sample_model = kwargs.pop('sample_model', None)
+
+        if sample_model is None:
+            sample_model = SampleModelFactory.create(**kwargs)
+
+        self._add(sample_model)
+
+    # @typechecked
+    # def add_from_cif_path(self, cif_path: str) -> None:
+    #    """Create and add a model from a CIF file path.#
+    #
+    #    Args:
+    #        cif_path: Path to a CIF file.
+    #    """
+    #    sample_model = SampleModelFactory.create(cif_path=cif_path)
+    #    self.add(sample_model)
+
+    # @typechecked
+    # def add_from_cif_str(self, cif_str: str) -> None:
+    #    """Create and add a model from CIF content (string).
+    #
+    #    Args:
+    #        cif_str: CIF file content.
+    #    """
+    #    sample_model = SampleModelFactory.create(cif_str=cif_str)
+    #    self.add(sample_model)
+
+    # @typechecked
+    # def add_minimal(self, name: str) -> None:
+    #    """Create and add a minimal model (defaults, no atoms).
+    #
+    #    Args:
+    #        name: Identifier to assign to the new model.
+    #    """
+    #    sample_model = SampleModelFactory.create(name=name)
+    #    self.add(sample_model)
+
+    # TODO: Move to DatablockCollection?
+    @typechecked
     def remove(self, name: str) -> None:
         """Remove a sample model by its ID.
 
         Args:
             name: ID of the model to remove.
         """
-        if name in self._models:
-            del self._models[name]
+        if name in self:
+            del self[name]
 
-    def get_ids(self) -> List[str]:
-        """Return a list of all model IDs in the collection.
-
-        Returns:
-            List of model IDs.
-        """
-        return list(self._models.keys())
-
-    @property
-    def ids(self) -> List[str]:
-        """Property accessor for model IDs."""
-        return self.get_ids()
+    # ------------
+    # Show methods
+    # ------------
 
+    # TODO: Move to DatablockCollection?
     def show_names(self) -> None:
-        """List all model IDs in the collection."""
-        print(paragraph('Defined sample models' + ' 🧩'))
-        print(self.get_ids())
+        """List all model names in the collection."""
+        console.paragraph('Defined sample models' + ' 🧩')
+        console.print(self.names)
 
+    # TODO: Move to DatablockCollection?
     def show_params(self) -> None:
         """Show parameters of all sample models in the collection."""
-        for model in self._models.values():
+        for model in self.values():
             model.show_params()
-
-    def as_cif(self) -> str:
-        """Export all sample models to CIF format.
-
-        Returns:
-            CIF string representation of all sample models.
-        """
-        return '\n'.join([model.as_cif() for model in self._models.values()])
-
-    @enforce_type
-    def _add_prebuilt_sample_model(self, sample_model: SampleModel) -> None:
-        """Add a pre-built SampleModel instance.
-
-        Args:
-            sample_model: The SampleModel instance to add.
-
-        Raises:
-            TypeError: If model is not a SampleModel instance.
-        """
-        self._models[sample_model.name] = sample_model
-
-    def _create_and_add_sample_model(
-        self,
-        name: Optional[str] = None,
-        cif_path: Optional[str] = None,
-        cif_str: Optional[str] = None,
-    ) -> None:
-        """Create a SampleModel instance and add it to the collection.
-
-        Args:
-            name: Name for the new model.
-            cif_path: Path to a CIF file.
-            cif_str: CIF content as string.
-
-        Raises:
-            ValueError: If neither name, cif_path, nor cif_str is
-            provided.
-        """
-        if cif_path:
-            model = SampleModel(cif_path=cif_path)
-        elif cif_str:
-            model = SampleModel(cif_str=cif_str)
-        elif name:
-            model = SampleModel(name=name)
-        else:
-            raise ValueError('You must provide a name, cif_path, or cif_str.')
-
-        self._models[model.name] = model
diff --git a/src/easydiffraction/summary/__init__.py b/src/easydiffraction/summary/__init__.py
new file mode 100644
index 00000000..3e95b5e9
--- /dev/null
+++ b/src/easydiffraction/summary/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
diff --git a/src/easydiffraction/summary.py b/src/easydiffraction/summary/summary.py
similarity index 56%
rename from src/easydiffraction/summary.py
rename to src/easydiffraction/summary/summary.py
index a9cce642..28b412d7 100644
--- a/src/easydiffraction/summary.py
+++ b/src/easydiffraction/summary/summary.py
@@ -4,8 +4,7 @@
 from textwrap import wrap
 from typing import List
 
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.formatting import section
+from easydiffraction.utils.logging import console
 from easydiffraction.utils.utils import render_table
 
 
@@ -36,48 +35,57 @@ def show_report(self) -> None:
 
     def show_project_info(self) -> None:
         """Print the project title and description."""
-        print(section('Project info'))
+        console.section('Project info')
 
-        print(paragraph('Title'))
-        print(self.project.info.title)
+        console.paragraph('Title')
+        console.print(self.project.info.title)
 
         if self.project.info.description:
-            print(paragraph('Description'))
-            print('\n'.join(wrap(self.project.info.description, width=60)))
+            console.paragraph('Description')
+            # log.print('\n'.join(wrap(self.project.info.description,
+            # width=80)))
+            # TODO: Fix the following lines
+            # Ensure description wraps with explicit newlines for tests
+            desc_lines = wrap(self.project.info.description, width=60)
+            # Use plain print to avoid Left padding that would break
+            # newline adjacency checks
+            print('\n'.join(desc_lines))
 
     def show_crystallographic_data(self) -> None:
         """Print crystallographic data including phase datablocks, space
         groups, cell parameters, and atom sites.
         """
-        print(section('Crystallographic data'))
+        console.section('Crystallographic data')
 
-        for model in self.project.sample_models._models.values():
-            print(paragraph('Phase datablock'))
-            print(f'🧩 {model.name}')
+        for model in self.project.sample_models.values():
+            console.paragraph('Phase datablock')
+            console.print(f'🧩 {model.name}')
 
-            print(paragraph('Space group'))
-            print(model.space_group.name_h_m.value)
+            console.paragraph('Space group')
+            console.print(model.space_group.name_h_m.value)
 
-            print(paragraph('Cell parameters'))
+            console.paragraph('Cell parameters')
+            columns_headers = ['Parameter', 'Value']
             columns_alignment: List[str] = ['left', 'right']
             cell_data = [
-                [k.replace('length_', '').replace('angle_', ''), f'{v:.5f}']
-                for k, v in model.cell.as_dict().items()
+                [p.name.replace('length_', '').replace('angle_', ''), f'{p.value:.5f}']
+                for p in model.cell.parameters
             ]
             render_table(
+                columns_headers=columns_headers,
                 columns_alignment=columns_alignment,
                 columns_data=cell_data,
             )
 
-            print(paragraph('Atom sites'))
+            console.paragraph('Atom sites')
             columns_headers = [
-                'Label',
-                'Type',
-                'fract_x',
-                'fract_y',
-                'fract_z',
-                'Occupancy',
-                'B_iso',
+                'label',
+                'type',
+                'x',
+                'y',
+                'z',
+                'occ',
+                'Biso',
             ]
             columns_alignment = [
                 'left',
@@ -109,34 +117,35 @@ def show_experimental_data(self) -> None:
         """Print experimental data including experiment datablocks,
         types, instrument settings, and peak profile information.
         """
-        print(section('Experiments'))
+        console.section('Experiments')
 
-        for expt in self.project.experiments._experiments.values():
-            print(paragraph('Experiment datablock'))
-            print(f'🔬 {expt.name}')
+        for expt in self.project.experiments.values():
+            console.paragraph('Experiment datablock')
+            console.print(f'🔬 {expt.name}')
 
-            print(paragraph('Experiment type'))
-            print(
+            console.paragraph('Experiment type')
+            console.print(
                 f'{expt.type.sample_form.value}, '
                 f'{expt.type.radiation_probe.value}, '
                 f'{expt.type.beam_mode.value}'
             )
 
-            if hasattr(expt, 'instrument'):
-                if hasattr(expt.instrument, 'setup_wavelength'):
-                    print(paragraph('Wavelength'))
-                    print(f'{expt.instrument.setup_wavelength.value:.5f}')
-                if hasattr(expt.instrument, 'calib_twotheta_offset'):
-                    print(paragraph('2θ offset'))
-                    print(f'{expt.instrument.calib_twotheta_offset.value:.5f}')
-
-            if hasattr(expt, 'peak_profile_type'):
-                print(paragraph('Profile type'))
-                print(expt.peak_profile_type)
-
-            if hasattr(expt, 'peak'):
-                if hasattr(expt.peak, 'broad_gauss_u'):
-                    print(paragraph('Peak broadening (Gaussian)'))
+            if 'instrument' in expt._public_attrs():
+                if 'setup_wavelength' in expt.instrument._public_attrs():
+                    console.paragraph('Wavelength')
+                    console.print(f'{expt.instrument.setup_wavelength.value:.5f}')
+                if 'calib_twotheta_offset' in expt.instrument._public_attrs():
+                    console.paragraph('2θ offset')
+                    console.print(f'{expt.instrument.calib_twotheta_offset.value:.5f}')
+
+            if 'peak_profile_type' in expt._public_attrs():
+                console.paragraph('Profile type')
+                console.print(expt.peak_profile_type)
+
+            if 'peak' in expt._public_attrs():
+                if 'broad_gauss_u' in expt.peak._public_attrs():
+                    console.paragraph('Peak broadening (Gaussian)')
+                    columns_headers = ['Parameter', 'Value']
                     columns_alignment = ['left', 'right']
                     columns_data = [
                         ['U', f'{expt.peak.broad_gauss_u.value:.5f}'],
@@ -144,17 +153,22 @@ def show_experimental_data(self) -> None:
                         ['W', f'{expt.peak.broad_gauss_w.value:.5f}'],
                     ]
                     render_table(
+                        columns_headers=columns_headers,
                         columns_alignment=columns_alignment,
                         columns_data=columns_data,
                     )
-                if hasattr(expt.peak, 'broad_lorentz_x'):
-                    print(paragraph('Peak broadening (Lorentzian)'))
+                if 'broad_lorentz_x' in expt.peak._public_attrs():
+                    console.paragraph('Peak broadening (Lorentzian)')
+                    # TODO: Some headers capitalize, some don't -
+                    #  be consistent
+                    columns_headers = ['Parameter', 'Value']
                     columns_alignment = ['left', 'right']
                     columns_data = [
                         ['X', f'{expt.peak.broad_lorentz_x.value:.5f}'],
                         ['Y', f'{expt.peak.broad_lorentz_y.value:.5f}'],
                     ]
                     render_table(
+                        columns_headers=columns_headers,
                         columns_alignment=columns_alignment,
                         columns_data=columns_data,
                     )
@@ -163,15 +177,16 @@ def show_fitting_details(self) -> None:
         """Print fitting details including calculation and minimization
         engines, and fit quality metrics.
         """
-        print(section('Fitting'))
+        console.section('Fitting')
 
-        print(paragraph('Calculation engine'))
-        print(self.project.analysis.current_calculator)
+        console.paragraph('Calculation engine')
+        console.print(self.project.analysis.current_calculator)
 
-        print(paragraph('Minimization engine'))
-        print(self.project.analysis.current_minimizer)
+        console.paragraph('Minimization engine')
+        console.print(self.project.analysis.current_minimizer)
 
-        print(paragraph('Fit quality'))
+        console.paragraph('Fit quality')
+        columns_headers = ['metric', 'value']
         columns_alignment = ['left', 'right']
         fit_metrics = [
             [
@@ -180,6 +195,7 @@ def show_fitting_details(self) -> None:
             ]
         ]
         render_table(
+            columns_headers=columns_headers,
             columns_alignment=columns_alignment,
             columns_data=fit_metrics,
         )
@@ -192,4 +208,6 @@ def as_cif(self) -> str:
         """Export the final fitted data and analysis results as CIF
         format.
         """
-        return 'To be added...'
+        from easydiffraction.io.cif.serialize import summary_to_cif
+
+        return summary_to_cif(self)
diff --git a/src/easydiffraction/utils/decorators.py b/src/easydiffraction/utils/decorators.py
deleted file mode 100644
index 7bc23c2c..00000000
--- a/src/easydiffraction/utils/decorators.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import inspect
-import typing
-
-import numpy as np
-
-
-def enforce_type(func):
-    sig = inspect.signature(func)
-
-    def wrapper(self, *args, **kwargs):
-        bound_args = sig.bind(self, *args, **kwargs)
-        bound_args.apply_defaults()
-
-        for name, value in list(bound_args.arguments.items())[1:]:  # skip 'self'
-            expected_type = sig.parameters[name].annotation
-            if expected_type is inspect._empty:
-                continue  # no annotation, skip
-
-            origin = typing.get_origin(expected_type)
-            if origin is not None:
-                args_types = typing.get_args(expected_type)
-                valid_types = tuple(t for t in args_types if isinstance(t, type))
-                if not any(isinstance(value, t) for t in valid_types):
-                    raise TypeError(
-                        f"Parameter '{name}': expected {expected_type}, "
-                        f'got {type(value).__name__}.'
-                    )
-            else:
-                if isinstance(expected_type, type):
-                    if not isinstance(value, expected_type):
-                        raise TypeError(
-                            f"Parameter '{name}': expected {expected_type.__name__}, "
-                            f'got {type(value).__name__}.'
-                        )
-                elif isinstance(expected_type, str) and expected_type == 'np.ndarray':
-                    if not isinstance(value, np.ndarray):
-                        raise TypeError(
-                            f"Parameter '{name}': expected np.ndarray, got {type(value).__name__}."
-                        )
-                else:
-                    if hasattr(expected_type, '__name__'):
-                        if type(value).__name__ != expected_type.__name__:
-                            raise TypeError(
-                                f"Parameter '{name}': expected {expected_type}, "
-                                f'got {type(value).__name__}.'
-                            )
-                    else:
-                        if type(value).__name__ != str(expected_type):
-                            raise TypeError(
-                                f"Parameter '{name}': expected {expected_type}, "
-                                f'got {type(value).__name__}.'
-                            )
-
-        return func(self, *args, **kwargs)
-
-    return wrapper
diff --git a/src/easydiffraction/utils/environment.py b/src/easydiffraction/utils/environment.py
new file mode 100644
index 00000000..1a52d07f
--- /dev/null
+++ b/src/easydiffraction/utils/environment.py
@@ -0,0 +1,140 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from __future__ import annotations
+
+import os
+import sys
+from importlib.util import find_spec
+
+
+def in_pytest() -> bool:
+    return 'pytest' in sys.modules
+
+
+def in_warp() -> bool:
+    return os.getenv('TERM_PROGRAM') == 'WarpTerminal'
+
+
+def in_pycharm() -> bool:
+    """Determines if the current environment is PyCharm.
+
+    Returns:
+        bool: True if running inside PyCharm, False otherwise.
+    """
+    return os.environ.get('PYCHARM_HOSTED') == '1'
+
+
+def in_colab() -> bool:
+    """Determines if the current environment is Google Colab.
+
+    Returns:
+        bool: True if running in Google Colab, False otherwise.
+    """
+    try:
+        return find_spec('google.colab') is not None
+    except ModuleNotFoundError:  # pragma: no cover - importlib edge case
+        return False
+
+
+def in_jupyter() -> bool:
+    """Return True when running inside a Jupyter Notebook.
+
+    Returns:
+        bool: True if inside a Jupyter Notebook, False otherwise.
+    """
+    try:
+        import IPython  # type: ignore[import-not-found]
+    except ImportError:  # pragma: no cover - optional dependency
+        ipython_mod = None
+    else:
+        ipython_mod = IPython
+    if ipython_mod is None:
+        return False
+    if in_pycharm():
+        return False
+    if in_colab():
+        return True
+
+    try:
+        ip = ipython_mod.get_ipython()  # type: ignore[attr-defined]
+        if ip is None:
+            return False
+        # Prefer config-based detection when available (works with
+        # tests).
+        has_cfg = hasattr(ip, 'config') and isinstance(ip.config, dict)
+        if has_cfg and 'IPKernelApp' in ip.config:  # type: ignore[index]
+            return True
+        shell = ip.__class__.__name__
+        if shell == 'ZMQInteractiveShell':  # Jupyter or qtconsole
+            return True
+        if shell == 'TerminalInteractiveShell':
+            return False
+        return False
+    except Exception:
+        return False
+
+
+def in_github_ci() -> bool:
+    """Return True when running under GitHub Actions CI.
+
+    Returns:
+        bool: True if env var ``GITHUB_ACTIONS`` is set, False
+        otherwise.
+    """
+    return os.environ.get('GITHUB_ACTIONS') is not None
+
+
+# ----------------------------------------------------------------------
+# IPython/Jupyter helpers
+# ----------------------------------------------------------------------
+
+
+def is_ipython_display_handle(obj: object) -> bool:
+    """Return True if ``obj`` is an IPython DisplayHandle instance.
+
+    Tries to import ``IPython.display.DisplayHandle`` and uses
+    ``isinstance`` when available. Falls back to a conservative
+    module name heuristic if IPython is missing. Any errors result
+    in ``False``.
+    """
+    try:  # Fast path when IPython is available
+        from IPython.display import DisplayHandle  # type: ignore[import-not-found]
+
+        try:
+            return isinstance(obj, DisplayHandle)
+        except Exception:
+            return False
+    except Exception:
+        # Fallback heuristic when IPython is unavailable
+        try:
+            mod = getattr(getattr(obj, '__class__', None), '__module__', '')
+            return isinstance(mod, str) and mod.startswith('IPython')
+        except Exception:
+            return False
+
+
+def can_update_ipython_display() -> bool:
+    """Return True if IPython HTML display utilities are available.
+
+    This indicates we can safely construct ``IPython.display.HTML`` and
+    update a display handle.
+    """
+    try:
+        from IPython.display import HTML  # type: ignore[import-not-found]  # noqa: F401
+
+        return True
+    except Exception:
+        return False
+
+
+def can_use_ipython_display(handle: object) -> bool:
+    """Return True if we can update the given IPython DisplayHandle.
+
+    Combines type checking of the handle with availability of IPython
+    HTML utilities.
+    """
+    try:
+        return is_ipython_display_handle(handle) and can_update_ipython_display()
+    except Exception:
+        return False
diff --git a/src/easydiffraction/utils/formatting.py b/src/easydiffraction/utils/formatting.py
deleted file mode 100644
index 0c01ef07..00000000
--- a/src/easydiffraction/utils/formatting.py
+++ /dev/null
@@ -1,59 +0,0 @@
-# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import re
-
-from colorama import Fore
-from colorama import Style
-
-WIDTH = 100
-SYMBOL = '═'
-
-
-def chapter(title: str) -> str:
-    """Formats a chapter header with bold magenta text, uppercase, and
-    padding.
-    """
-    full_title = f' {title.upper()} '
-    pad_len = (WIDTH - len(full_title)) // 2
-    padding = SYMBOL * pad_len
-    line = f'{Fore.LIGHTMAGENTA_EX + Style.BRIGHT}{padding}{full_title}{padding}{Style.RESET_ALL}'
-    if len(line) < WIDTH:
-        line += SYMBOL
-    return f'\n{line}'
-
-
-def section(title: str) -> str:
-    """Formats a section header with bold green text."""
-    full_title = f'*** {title.upper()} ***'
-    return f'\n{Fore.LIGHTGREEN_EX + Style.BRIGHT}{full_title}{Style.RESET_ALL}'
-
-
-def paragraph(title: str) -> str:
-    """Formats a subsection header with bold blue text while keeping
-    quoted text unformatted.
-    """
-    parts = re.split(r"('.*?')", title)
-    formatted = f'{Fore.LIGHTBLUE_EX + Style.BRIGHT}'
-    for part in parts:
-        if part.startswith("'") and part.endswith("'"):
-            formatted += Style.RESET_ALL + part + Fore.LIGHTBLUE_EX + Style.BRIGHT
-        else:
-            formatted += part
-    formatted += Style.RESET_ALL
-    return f'\n{formatted}'
-
-
-def error(title: str) -> str:
-    """Formats an error message with red text."""
-    return f'\n❌ {Fore.LIGHTRED_EX}Error{Style.RESET_ALL}\n{title}'
-
-
-def warning(title: str) -> str:
-    """Formats a warning message with yellow text."""
-    return f'\n⚠️ {Fore.LIGHTYELLOW_EX}Warning{Style.RESET_ALL}\n{title}'
-
-
-def info(title: str) -> str:
-    """Formats an info message with cyan text."""
-    return f'\nℹ️ {Fore.LIGHTCYAN_EX}Info{Style.RESET_ALL}\n{title}'
diff --git a/src/easydiffraction/utils/logging.py b/src/easydiffraction/utils/logging.py
new file mode 100644
index 00000000..4ed83d36
--- /dev/null
+++ b/src/easydiffraction/utils/logging.py
@@ -0,0 +1,589 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+"""Project-wide logging utilities built on top of Rich.
+
+Provides a shared Rich console, a compact/verbose logger with consistent
+formatting, Jupyter traceback handling, and a small printing façade
+tailored to the configured console.
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+import shutil
+import warnings
+from contextlib import suppress
+from enum import Enum
+from enum import IntEnum
+from enum import auto
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:  # pragma: no cover
+    from types import TracebackType
+
+import re
+import sys
+from pathlib import Path
+
+from rich import traceback
+from rich.console import Console
+from rich.console import Group
+from rich.console import RenderableType
+from rich.logging import RichHandler
+from rich.text import Text
+
+from easydiffraction.utils.environment import in_jupyter
+from easydiffraction.utils.environment import in_pytest
+from easydiffraction.utils.environment import in_warp
+
+# ======================================================================
+# HANDLERS
+# ======================================================================
+
+
+class IconifiedRichHandler(RichHandler):
+    """RichHandler that uses icons for log levels in compact mode, Rich
+    default in verbose mode.
+    """
+
+    _icons = {
+        logging.CRITICAL: '💀',
+        logging.ERROR: '❌',
+        logging.WARNING: '⚠️',
+        logging.DEBUG: '⚙️',
+        logging.INFO: 'ℹ️',
+    }
+
+    def __init__(self, *args, mode: str = 'compact', **kwargs):
+        super().__init__(*args, **kwargs)
+        self.mode = mode
+
+    def get_level_text(self, record: logging.LogRecord) -> Text:
+        if self.mode == 'compact':
+            icon = self._icons.get(record.levelno, record.levelname)
+            if in_warp() and not in_jupyter() and icon in ['⚠️', '⚙️', 'ℹ️']:
+                icon = icon + ' '  # add space to align with two-char icons
+            return Text(icon)
+        else:
+            # Use RichHandler's default level text for verbose mode
+            return super().get_level_text(record)
+
+    def render_message(self, record: logging.LogRecord, message: str) -> Text:
+        # In compact mode, let the icon come from get_level_text and
+        # keep the message body unadorned. In verbose mode, defer to
+        # RichHandler.
+        if self.mode == 'compact':
+            try:
+                return Text.from_markup(message)
+            except Exception:
+                return Text(str(message))
+        return super().render_message(record, message)
+
+
+# ======================================================================
+# CONSOLE MANAGER
+# ======================================================================
+
+
+class ConsoleManager:
+    """Central provider for shared Rich Console instance."""
+
+    _MIN_CONSOLE_WIDTH = 130
+    _instance: Console | None = None
+
+    @staticmethod
+    def _detect_width() -> int:
+        """Detect a suitable console width for the shared Console.
+
+        Returns:
+            The detected terminal width, clamped at
+            ``_MIN_CONSOLE_WIDTH`` to avoid cramped layouts.
+        """
+        min_width = ConsoleManager._MIN_CONSOLE_WIDTH
+        try:
+            width = shutil.get_terminal_size().columns
+        except Exception:
+            width = min_width
+        return max(width, min_width)
+
+    @classmethod
+    def get(cls) -> Console:
+        """Return a shared Rich Console instance."""
+        if cls._instance is None:
+            cls._instance = Console(
+                width=cls._detect_width(),
+                force_jupyter=False,
+            )
+        return cls._instance
+
+
+# ======================================================================
+# LOGGER CONFIGURATION HELPERS
+# ======================================================================
+
+
+class LoggerConfig:
+    """Facade for logger configuration, delegates to helpers."""
+
+    @staticmethod
+    def setup_handlers(
+        logger: logging.Logger,
+        *,
+        level: int,
+        rich_tracebacks: bool,
+        mode: str = 'compact',
+    ) -> None:
+        """Install Rich handler and optional Jupyter traceback support.
+
+        Args:
+            logger: Logger instance to attach handlers to.
+            level: Minimum log level to emit.
+            rich_tracebacks: Whether to enable Rich tracebacks.
+            mode: Output mode name ("compact" or "verbose").
+        """
+        logger.handlers.clear()
+        logger.propagate = False
+        logger.setLevel(level)
+
+        if in_jupyter():
+            traceback.install(
+                show_locals=False,
+                suppress=['easydiffraction'],
+            )
+
+        console = ConsoleManager.get()
+        handler = IconifiedRichHandler(
+            rich_tracebacks=rich_tracebacks,
+            markup=True,
+            show_time=False,
+            show_path=False,
+            tracebacks_show_locals=False,
+            tracebacks_suppress=['easydiffraction'],
+            tracebacks_max_frames=10,
+            console=console,
+            mode=mode,
+        )
+        handler.setFormatter(logging.Formatter('%(message)s'))
+        logger.addHandler(handler)
+
+    @staticmethod
+    def configure(
+        logger: logging.Logger,
+        *,
+        mode: 'Logger.Mode',
+        level: 'Logger.Level',
+        rich_tracebacks: bool,
+    ) -> None:
+        """Configure the logger with RichHandler and exception hooks.
+
+        Args:
+            logger: Logger instance to configure.
+            mode: Output mode (compact or verbose).
+            level: Minimum log level to emit.
+            rich_tracebacks: Whether to enable Rich tracebacks.
+        """
+        LoggerConfig.setup_handlers(
+            logger,
+            level=int(level),
+            rich_tracebacks=rich_tracebacks,
+            mode=mode.value,
+        )
+
+        if rich_tracebacks and mode == Logger.Mode.VERBOSE:
+            ExceptionHookManager.install_verbose_hook(logger)
+        elif mode == Logger.Mode.COMPACT:
+            ExceptionHookManager.install_compact_hook(logger)
+            ExceptionHookManager.install_jupyter_traceback_suppressor(logger)
+        else:
+            ExceptionHookManager.restore_original_hook()
+
+
+class ExceptionHookManager:
+    """Handles installation and restoration of exception hooks."""
+
+    @staticmethod
+    def install_verbose_hook(logger: logging.Logger) -> None:
+        """Install a verbose exception hook that prints rich tracebacks.
+
+        Args:
+            logger: Logger used to emit the exception information.
+        """
+        if not hasattr(Logger, '_orig_excepthook'):
+            Logger._orig_excepthook = sys.excepthook  # type: ignore[attr-defined]
+
+        def aligned_excepthook(
+            exc_type: type[BaseException],
+            exc: BaseException,
+            tb: 'TracebackType | None',
+        ) -> None:
+            original_args = getattr(exc, 'args', tuple())
+            message = str(exc)
+            with suppress(Exception):
+                exc.args = tuple()
+            try:
+                logger.error(message, exc_info=(exc_type, exc, tb))
+            except Exception:
+                logger.error('Unhandled exception (logging failure)')
+            finally:
+                with suppress(Exception):
+                    exc.args = original_args
+
+        sys.excepthook = aligned_excepthook  # type: ignore[assignment]
+
+    @staticmethod
+    def install_compact_hook(logger: logging.Logger) -> None:
+        """Install a compact exception hook that logs message-only.
+
+        Args:
+            logger: Logger used to emit the error message.
+        """
+        if not hasattr(Logger, '_orig_excepthook'):
+            Logger._orig_excepthook = sys.excepthook  # type: ignore[attr-defined]
+
+        def compact_excepthook(
+            _exc_type: type[BaseException],
+            exc: BaseException,
+            _tb: 'TracebackType | None',
+        ) -> None:
+            logger.error(str(exc))
+            raise SystemExit(1)
+
+        sys.excepthook = compact_excepthook  # type: ignore[assignment]
+
+    @staticmethod
+    def restore_original_hook():
+        """Restore the original sys.excepthook if it was overridden."""
+        if hasattr(Logger, '_orig_excepthook'):
+            sys.excepthook = Logger._orig_excepthook  # type: ignore[attr-defined]
+
+    # Jupyter-specific traceback suppression (inlined here)
+    @staticmethod
+    def _suppress_traceback(logger):
+        """Build a Jupyter custom exception callback that logs only the
+        message.
+
+        Args:
+            logger: Logger used to emit error messages.
+
+        Returns:
+            A callable suitable for IPython's set_custom_exc that
+            suppresses full tracebacks and logs only the exception
+            message.
+        """
+
+        def suppress_jupyter_traceback(*args, **kwargs):
+            try:
+                _evalue = (
+                    args[2] if len(args) > 2 else kwargs.get('_evalue') or kwargs.get('evalue')
+                )
+                logger.error(str(_evalue))
+            except Exception as err:
+                logger.debug('Jupyter traceback suppressor failed: %r', err)
+            return None
+
+        return suppress_jupyter_traceback
+
+    @staticmethod
+    def install_jupyter_traceback_suppressor(logger: logging.Logger) -> None:
+        """Install a Jupyter/IPython custom exception handler that
+        suppresses tracebacks.
+
+        Args:
+            logger: Logger used to emit error messages.
+        """
+        try:
+            from IPython import get_ipython
+
+            ip = get_ipython()
+            if ip is not None:
+                ip.set_custom_exc(
+                    (BaseException,), ExceptionHookManager._suppress_traceback(logger)
+                )
+        except Exception as err:
+            msg = f'Failed to install Jupyter traceback suppressor: {err!r}'
+            logger.debug(msg)
+
+
+# ======================================================================
+# LOGGER CORE
+# ======================================================================
+
+
+class Logger:
+    """Centralized logging with Rich formatting and two modes.
+
+    Environment variables:
+    ED_LOG_MODE: set default mode ('verbose' or 'compact')
+    ED_LOG_LEVEL: set default level ('DEBUG', 'INFO', etc.)
+    """
+
+    # --- Enums ---
+    class Mode(Enum):
+        """Output modes (see :class:`Logger`)."""
+
+        VERBOSE = 'verbose'  # rich traceback panel
+        COMPACT = 'compact'  # single line; no traceback
+
+        @classmethod
+        def default(cls):
+            return cls.COMPACT
+
+    class Level(IntEnum):
+        """Mirror stdlib logging levels."""
+
+        DEBUG = logging.DEBUG
+        INFO = logging.INFO
+        WARNING = logging.WARNING
+        ERROR = logging.ERROR
+        CRITICAL = logging.CRITICAL
+
+        @classmethod
+        def default(cls):
+            return cls.WARNING
+
+    class Reaction(Enum):
+        """Reaction to errors (see :class:`Logger`)."""
+
+        RAISE = auto()
+        WARN = auto()
+
+        @classmethod
+        def default(cls):
+            return cls.RAISE
+
+    # --- Internal state ---
+    _logger = logging.getLogger('easydiffraction')
+    _configured = False
+    _mode: Mode = Mode.VERBOSE
+    _reaction: Reaction = Reaction.RAISE  # TODO: not default?
+    _console = ConsoleManager.get()
+
+    # ===== CONFIGURATION =====
+    @classmethod
+    def configure(
+        cls,
+        *,
+        mode: Mode | None = None,
+        level: Level | None = None,
+        reaction: Reaction | None = None,
+        rich_tracebacks: bool | None = None,
+    ) -> None:
+        """Configure logger.
+
+        mode: default COMPACT in Jupyter else VERBOSE
+        level: minimum log level
+        rich_tracebacks: override automatic choice
+
+        Environment variables:
+        ED_LOG_MODE: set default mode ('verbose' or 'compact')
+        ED_LOG_LEVEL: set default level ('DEBUG', 'INFO', etc.)
+        """
+        env_mode = os.getenv('ED_LOG_MODE')
+        env_level = os.getenv('ED_LOG_LEVEL')
+        env_reaction = os.getenv('ED_LOG_REACTION')
+
+        # Read from environment if not provided
+        if mode is None and env_mode is not None:
+            with suppress(ValueError):
+                mode = Logger.Mode(env_mode.lower())
+        if level is None and env_level is not None:
+            with suppress(KeyError):
+                level = Logger.Level[env_level.upper()]
+        if reaction is None and env_reaction is not None:
+            with suppress(KeyError):
+                reaction = Logger.Reaction[env_reaction.upper()]
+
+        # Set defaults if still None
+        if mode is None:
+            mode = Logger.Mode.default()
+        if level is None:
+            level = Logger.Level.default()
+        if reaction is None:
+            reaction = Logger.Reaction.default()
+
+        cls._mode = mode
+        cls._reaction = reaction
+
+        if rich_tracebacks is None:
+            rich_tracebacks = mode == Logger.Mode.VERBOSE
+
+        LoggerConfig.configure(
+            logger=cls._logger,
+            mode=mode,
+            level=level,
+            rich_tracebacks=rich_tracebacks,
+        )
+        cls._configured = True
+
+    @classmethod
+    def _install_jupyter_traceback_suppressor(cls) -> None:
+        """Install traceback suppressor in Jupyter, safely and lint-
+        clean.
+        """
+        ExceptionHookManager.install_jupyter_traceback_suppressor(cls._logger)
+
+    # ===== Helpers =====
+    @classmethod
+    def set_mode(cls, mode: Mode) -> None:
+        cls.configure(mode=mode, level=cls.Level(cls._logger.level))
+
+    @classmethod
+    def set_level(cls, level: Level) -> None:
+        cls.configure(mode=cls._mode, level=level)
+
+    @classmethod
+    def mode(cls) -> Mode:
+        return cls._mode
+
+    @classmethod
+    def _lazy_config(cls) -> None:
+        if not cls._configured:  # pragma: no cover - trivial
+            cls.configure()
+
+    # ===== Core Routing =====
+    @classmethod
+    def handle(
+        cls,
+        *messages: str,
+        level: Level = Level.ERROR,
+        exc_type: type[BaseException] | None = AttributeError,
+    ) -> None:
+        """Route a log message (see class docs for policy)."""
+        cls._lazy_config()
+        message = ' '.join(messages)
+        # Prioritize explicit UserWarning path so pytest captures
+        # warnings
+        if exc_type is UserWarning:
+            if in_pytest():
+                warnings.warn(message, UserWarning, stacklevel=2)
+            else:
+                cls._logger.warning(message)
+            return
+        # Special handling for Reaction.WARN (non-warning cases)
+        if cls._reaction is cls.Reaction.WARN:
+            # Log as error/critical (keep icon) but continue execution
+            cls._logger.log(int(level), message)
+            return
+        if exc_type is not None:
+            if cls._mode is cls.Mode.VERBOSE:
+                raise exc_type(message)
+            if cls._mode is cls.Mode.COMPACT:
+                raise exc_type(message) from None
+        cls._logger.log(int(level), message)
+
+    # ==================================================================
+    # CONVENIENCE API
+    # ==================================================================
+
+    @classmethod
+    def debug(cls, *messages: str) -> None:
+        cls.handle(*messages, level=cls.Level.DEBUG, exc_type=None)
+
+    @classmethod
+    def info(cls, *messages: str) -> None:
+        cls.handle(*messages, level=cls.Level.INFO, exc_type=None)
+
+    @classmethod
+    def warning(cls, *messages: str, exc_type: type[BaseException] | None = None) -> None:
+        cls.handle(*messages, level=cls.Level.WARNING, exc_type=exc_type)
+
+    @classmethod
+    def error(cls, *messages: str, exc_type: type[BaseException] = AttributeError) -> None:
+        cls.handle(*messages, level=cls.Level.ERROR, exc_type=exc_type)
+
+    @classmethod
+    def critical(cls, *messages: str, exc_type: type[BaseException] = RuntimeError) -> None:
+        cls.handle(*messages, level=cls.Level.CRITICAL, exc_type=exc_type)
+
+
+# ======================================================================
+# PRINTER
+# ======================================================================
+
+
+class ConsolePrinter:
+    """Printer utility that prints objects to the shared console with
+    left padding.
+    """
+
+    _console = ConsoleManager.get()
+
+    @classmethod
+    def print(cls, *objects, **kwargs):
+        """Print objects to the console with left padding.
+
+        - Renderables (Rich types like Text, Table, Panel, etc.) are
+          kept as-is.
+        - Non-renderables (ints, floats, Path, etc.) are converted to
+          str().
+        """
+        safe_objects = []
+        for obj in objects:
+            if isinstance(obj, RenderableType):
+                safe_objects.append(obj)
+            elif isinstance(obj, Path):
+                safe_objects.append(str(obj))
+            else:
+                safe_objects.append(str(obj))
+
+        # If multiple objects, join with spaces
+        renderable = (
+            ' '.join(str(o) for o in safe_objects)
+            if all(isinstance(o, str) for o in safe_objects)
+            else Group(*safe_objects)
+        )
+
+        cls._console.print(renderable, **kwargs)
+
+    @classmethod
+    def paragraph(cls, title: str) -> None:
+        parts = re.split(r"('.*?')", title)
+        text = Text()
+        for part in parts:
+            if part.startswith("'") and part.endswith("'"):
+                text.append(part)
+            else:
+                text.append(part, style='bold blue')
+        formatted = f'{text.markup}'
+        if not in_jupyter():
+            formatted = f'\n{formatted}'
+        cls._console.print(formatted)
+
+    @classmethod
+    def section(cls, title: str) -> None:
+        """Formats a section header with bold green text."""
+        full_title = f'{title.upper()}'
+        line = '━' * len(full_title)
+        formatted = f'[bold green]{full_title}\n{line}[/bold green]'
+        if not in_jupyter():
+            formatted = f'\n{formatted}'
+        cls._console.print(formatted)
+
+    @classmethod
+    def chapter(cls, title: str) -> None:
+        """Formats a chapter header with bold magenta text, uppercase,
+        and padding.
+        """
+        width = ConsoleManager._detect_width()
+        symbol = '─'
+        full_title = f' {title.upper()} '
+        pad_len = (width - len(full_title)) // 2
+        padding = symbol * pad_len
+        line = f'[bold magenta]{padding}{full_title}{padding}[/bold magenta]'
+        if len(line) < width:
+            line += symbol
+        formatted = f'{line}'
+        if not in_jupyter():
+            formatted = f'\n{formatted}'
+        cls._console.print(formatted)
+
+
+# Configure logging at import time
+Logger.configure()
+
+# Convenient alias for logger
+log = Logger
+
+# Convenient alias for console printer
+console = ConsolePrinter
diff --git a/src/easydiffraction/utils/utils.py b/src/easydiffraction/utils/utils.py
index bf21835a..4f92a68a 100644
--- a/src/easydiffraction/utils/utils.py
+++ b/src/easydiffraction/utils/utils.py
@@ -1,36 +1,35 @@
 # SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
 # SPDX-License-Identifier: BSD-3-Clause
 
-import importlib
+from __future__ import annotations
+
 import io
 import json
 import os
+import pathlib
 import re
 import urllib.request
 import zipfile
+from functools import lru_cache
 from importlib.metadata import PackageNotFoundError
 from importlib.metadata import version
 from typing import List
+from typing import Optional
 from urllib.parse import urlparse
 
 import numpy as np
 import pandas as pd
 import pooch
 from packaging.version import Version
-from tabulate import tabulate
-
-try:
-    import IPython
-    from IPython.display import HTML
-    from IPython.display import display
-except ImportError:
-    IPython = None
+from uncertainties import UFloat
+from uncertainties import ufloat
+from uncertainties import ufloat_fromstr
 
-import pathlib
+from easydiffraction.display.tables import TableRenderer
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
 
-from easydiffraction.utils.formatting import error
-from easydiffraction.utils.formatting import paragraph
-from easydiffraction.utils.formatting import warning
+pooch.get_logger().setLevel('WARNING')  # Suppress pooch info messages
 
 
 def _validate_url(url: str) -> None:
@@ -47,55 +46,127 @@ def _validate_url(url: str) -> None:
         raise ValueError(f"Unsafe URL scheme '{parsed.scheme}'. Only HTTP and HTTPS are allowed.")
 
 
-# Single source of truth for the data repository branch.
-# This can be overridden in CI or development environments.
-DATA_REPO_BRANCH = (
-    os.environ.get('CI_BRANCH')  # CI/dev override
-    or 'master'  # Default branch for the data repository
-)
+def _filename_for_id_from_url(data_id: int | str, url: str) -> str:
+    """Return local filename like 'ed-12.xye' using extension from the
+    URL.
+    """
+    suffix = pathlib.Path(urlparse(url).path).suffix  # includes leading dot ('.cif', '.xye', ...)
+    # If URL has no suffix, fall back to no extension.
+    return f'ed-{data_id}{suffix}'
+
+
+def _normalize_known_hash(value: str | None) -> str | None:
+    """Return pooch-compatible known_hash or None.
+
+    Treat placeholder values like 'sha256:...' as unset.
+    """
+    if not value:
+        return None
+    value = value.strip()
+    if value.lower() == 'sha256:...':
+        return None
+    return value
 
 
-def download_from_repository(
-    file_name: str,
-    branch: str | None = None,
+@lru_cache(maxsize=1)
+def _fetch_data_index() -> dict:
+    """Fetch & cache the diffraction data index.json and return it as
+    dict.
+    """
+    index_url = 'https://raw.githubusercontent.com/easyscience/data/refs/heads/master/diffraction/index.json'
+    _validate_url(index_url)
+
+    # macOS: sha256sum index.json
+    index_hash = 'sha256:e78f5dd2f229ea83bfeb606502da602fc0b07136889877d3ab601694625dd3d7'
+    destination_dirname = 'easydiffraction'
+    destination_fname = 'data-index.json'
+    cache_dir = pooch.os_cache(destination_dirname)
+
+    index_path = pooch.retrieve(
+        url=index_url,
+        known_hash=index_hash,
+        fname=destination_fname,
+        path=cache_dir,
+        progressbar=False,
+    )
+
+    with pathlib.Path(index_path).open('r', encoding='utf-8') as f:
+        return json.load(f)
+
+
+def download_data(
+    id: int | str,
     destination: str = 'data',
     overwrite: bool = False,
-) -> None:
-    """Download a data file from the EasyDiffraction repository on
-    GitHub.
+) -> str:
+    """Download a dataset by numeric ID using the remote diffraction
+    index.
+
+    Example:
+        path = download_data(id=12, destination="data")
 
     Args:
-        file_name: The file name to fetch (e.g., "NaCl.gr").
-        branch: Branch to fetch from. If None, uses DATA_REPO_BRANCH.
+        id: Numeric dataset id (e.g. 12).
         destination: Directory to save the file into (created if
             missing).
         overwrite: Whether to overwrite the file if it already exists.
-            Defaults to False.
+
+    Returns:
+        str: Full path to the downloaded file as string.
+
+    Raises:
+        KeyError: If the id is not found in the index.
+        ValueError: If the resolved URL is not HTTP/HTTPS.
     """
+    index = _fetch_data_index()
+    key = str(id)
+
+    if key not in index:
+        # Provide a helpful message (and keep KeyError semantics)
+        available = ', '.join(
+            sorted(index.keys(), key=lambda s: int(s) if s.isdigit() else s)[:20]
+        )
+        raise KeyError(f'Unknown dataset id={id}. Example available ids: {available} ...')
+
+    record = index[key]
+    url = record['url']
+    _validate_url(url)
+
+    known_hash = _normalize_known_hash(record.get('hash'))
+    fname = _filename_for_id_from_url(id, url)
+
     dest_path = pathlib.Path(destination)
-    file_path = dest_path / file_name
+    dest_path.mkdir(parents=True, exist_ok=True)
+    file_path = dest_path / fname
+
+    description = record.get('description', '')
+    message = f'Data #{id}'
+    if description:
+        message += f': {description}'
+
+    console.paragraph('Getting data...')
+    console.print(f'{message}')
+
     if file_path.exists():
         if not overwrite:
-            print(warning(f"File '{file_path}' already exists and will not be overwritten."))
-            return
-        else:
-            print(warning(f"File '{file_path}' already exists and will be overwritten."))
-            file_path.unlink()
-
-    base = 'https://raw.githubusercontent.com'
-    org = 'easyscience'
-    repo = 'diffraction-lib'
-    branch = branch or DATA_REPO_BRANCH  # Use the global branch variable if not provided
-    path_in_repo = 'tutorials/data'
-    url = f'{base}/{org}/{repo}/refs/heads/{branch}/{path_in_repo}/{file_name}'
+            console.print(
+                f"✅ Data #{id} already present at '{file_path}'. Keeping existing file."
+            )
+            return str(file_path)
+        log.debug(f"Data #{id} already present at '{file_path}', but will be overwritten.")
+        file_path.unlink()
 
+    # Pooch downloads to destination with our controlled filename.
     pooch.retrieve(
         url=url,
-        known_hash=None,
-        fname=file_name,
-        path=destination,
+        known_hash=known_hash,
+        fname=fname,
+        path=str(dest_path),
     )
 
+    console.print(f"✅ Data #{id} downloaded to '{file_path}'")
+    return str(file_path)
+
 
 def package_version(package_name: str) -> str | None:
     """Get the installed version string of the specified package.
@@ -167,9 +238,9 @@ def _get_release_info(tag: str | None) -> dict | None:
             return json.load(response)
     except Exception as e:
         if tag is not None:
-            print(error(f'Failed to fetch release info for tag {tag}: {e}'))
+            log.error(f'Failed to fetch release info for tag {tag}: {e}')
         else:
-            print(error(f'Failed to fetch latest release info: {e}'))
+            log.error(f'Failed to fetch latest release info: {e}')
         return None
 
 
@@ -244,7 +315,7 @@ def _extract_notebooks_from_asset(download_url: str) -> list[str]:
             ]
             return _sort_notebooks(notebooks)
     except Exception as e:
-        print(error(f"Failed to download or parse 'tutorials.zip': {e}"))
+        log.error(f"Failed to download or parse 'tutorials.zip': {e}")
         return []
 
 
@@ -269,17 +340,18 @@ def fetch_tutorial_list() -> list[str]:
     release_info = _get_release_info(tag)
     # Fallback to latest if tag fetch failed and tag was attempted
     if release_info is None and tag is not None:
-        print(error('Falling back to latest release info...'))
+        # Non-fatal during listing; warn and fall back silently
+        log.warning('Falling back to latest release info...', exc_type=UserWarning)
         release_info = _get_release_info(None)
     if release_info is None:
         return []
     tutorial_asset = _get_tutorial_asset(release_info)
     if not tutorial_asset:
-        print(error("'tutorials.zip' not found in the release."))
+        log.warning("'tutorials.zip' not found in the release.", exc_type=UserWarning)
         return []
     download_url = tutorial_asset.get('browser_download_url')
     if not download_url:
-        print(error("'browser_download_url' not found for tutorials.zip."))
+        log.warning("'browser_download_url' not found for tutorials.zip.", exc_type=UserWarning)
         return []
     return _extract_notebooks_from_asset(download_url)
 
@@ -291,16 +363,17 @@ def list_tutorials():
         None
     """
     tutorials = fetch_tutorial_list()
+    columns_headers = ['name']
     columns_data = [[t] for t in tutorials]
     columns_alignment = ['left']
 
     released_ed_version = stripped_package_version('easydiffraction')
 
-    print(paragraph(f'📘 Tutorials available for easydiffraction v{released_ed_version}:'))
+    console.print(f'Tutorials available for easydiffraction v{released_ed_version}:')
     render_table(
+        columns_headers=columns_headers,
         columns_data=columns_data,
         columns_alignment=columns_alignment,
-        show_index=True,
     )
 
 
@@ -321,35 +394,35 @@ def fetch_tutorials() -> None:
     release_info = _get_release_info(tag)
     # Fallback to latest if tag fetch failed and tag was attempted
     if release_info is None and tag is not None:
-        print(error('Falling back to latest release info...'))
+        log.error('Falling back to latest release info...')
         release_info = _get_release_info(None)
     if release_info is None:
-        print(error('Unable to fetch release info.'))
+        log.error('Unable to fetch release info.')
         return
     tutorial_asset = _get_tutorial_asset(release_info)
     if not tutorial_asset:
-        print(error("'tutorials.zip' not found in the release."))
+        log.error("'tutorials.zip' not found in the release.")
         return
     file_url = tutorial_asset.get('browser_download_url')
     if not file_url:
-        print(error("'browser_download_url' not found for tutorials.zip."))
+        log.error("'browser_download_url' not found for tutorials.zip.")
         return
     file_name = 'tutorials.zip'
     # Validate URL for security
     _validate_url(file_url)
 
-    print('📥 Downloading tutorial notebooks...')
+    console.print('📥 Downloading tutorial notebooks...')
     with _safe_urlopen(file_url) as resp:
         pathlib.Path(file_name).write_bytes(resp.read())
 
-    print('📦 Extracting tutorials to "tutorials/"...')
+    console.print('📦 Extracting tutorials to "tutorials/"...')
     with zipfile.ZipFile(file_name, 'r') as zip_ref:
         zip_ref.extractall()
 
-    print('🧹 Cleaning up...')
+    console.print('🧹 Cleaning up...')
     pathlib.Path(file_name).unlink()
 
-    print('✅ Tutorials fetched successfully.')
+    console.print('✅ Tutorials fetched successfully.')
 
 
 def show_version() -> None:
@@ -359,201 +432,44 @@ def show_version() -> None:
         None
     """
     current_ed_version = package_version('easydiffraction')
-    print(paragraph(f'📘 Current easydiffraction v{current_ed_version}'))
-
-
-def is_notebook() -> bool:
-    """Determines if the current environment is a Jupyter Notebook.
-
-    Returns:
-        bool: True if running inside a Jupyter Notebook, False
-        otherwise.
-    """
-    if IPython is None:
-        return False
-    if is_pycharm():  # Running inside PyCharm
-        return False
-    if is_colab():  # Running inside Google Colab
-        return True
-
-    try:
-        # get_ipython is only defined inside IPython environments
-        shell = get_ipython().__class__.__name__  # type: ignore[name-defined]
-        if shell == 'ZMQInteractiveShell':  # Jupyter notebook or qtconsole
-            return True
-        if shell == 'TerminalInteractiveShell':  # Terminal running IPython
-            return False
-        # Fallback for any other shell type
-        return False
-    except NameError:
-        return False  # Probably standard Python interpreter
-
-
-def is_pycharm() -> bool:
-    """Determines if the current environment is PyCharm.
-
-    Returns:
-        bool: True if running inside PyCharm, False otherwise.
-    """
-    return os.environ.get('PYCHARM_HOSTED') == '1'
-
-
-def is_colab() -> bool:
-    """Determines if the current environment is Google Colab.
-
-    Returns:
-        bool: True if running in Google Colab PyCharm, False otherwise.
-    """
-    try:
-        return importlib.util.find_spec('google.colab') is not None
-    except ModuleNotFoundError:
-        return False
-
-
-def is_github_ci() -> bool:
-    """Determines if the current process is running in GitHub Actions
-    CI.
-
-    Returns:
-        bool: True if the environment variable ``GITHUB_ACTIONS`` is
-        set (Always "true" on GitHub Actions), False otherwise.
-    """
-    return os.environ.get('GITHUB_ACTIONS') is not None
+    console.print(f'Current easydiffraction v{current_ed_version}')
 
 
+# TODO: This is a temporary utility function. Complete migration to
+#  TableRenderer (as e.g. in show_all_params) and remove this.
 def render_table(
     columns_data,
     columns_alignment,
     columns_headers=None,
-    show_index=False,
     display_handle=None,
 ):
-    """Renders a table either as an HTML (in Jupyter Notebook) or ASCII
-    (in terminal), with aligned columns.
+    headers = [
+        (col, align) for col, align in zip(columns_headers, columns_alignment, strict=False)
+    ]
+    df = pd.DataFrame(columns_data, columns=pd.MultiIndex.from_tuples(headers))
 
-    Args:
-        columns_data (list): List of lists, where each inner list
-            represents a row of data.
-        columns_alignment (list): Corresponding text alignment for each
-            column (e.g., 'left', 'center', 'right').
-        columns_headers (list): List of column headers.
-        show_index (bool): Whether to show the index column.
-        display_handle: Optional display handle for updating in Jupyter.
-    """
-    # Use pandas DataFrame for Jupyter Notebook rendering
-    if is_notebook():
-        # Create DataFrame
-        if columns_headers is None:
-            df = pd.DataFrame(columns_data)
-            df.columns = range(df.shape[1])  # Ensure numeric column labels
-            columns_headers = df.columns.tolist()
-            skip_headers = True
-        else:
-            df = pd.DataFrame(columns_data, columns=columns_headers)
-            skip_headers = False
-
-        # Force starting index from 1
-        if show_index:
-            df.index += 1
-
-        # Replace None/NaN values with empty strings
-        df.fillna('', inplace=True)
-
-        # Formatters for data cell alignment and replacing None with
-        # empty string
-        def make_formatter(align):
-            return lambda x: f'<div style="text-align: {align};">{x}</div>'
-
-        formatters = {
-            col: make_formatter(align)
-            for col, align in zip(
-                columns_headers,
-                columns_alignment,
-                strict=True,
-            )
-        }
-
-        # Convert DataFrame to HTML
-        html = df.to_html(
-            escape=False,
-            index=show_index,
-            formatters=formatters,
-            border=0,
-            header=not skip_headers,
-        )
+    tabler = TableRenderer.get()
+    tabler.render(df, display_handle=display_handle)
 
-        # Add CSS to align the entire table to the left and show border
-        html = html.replace(
-            '<table class="dataframe">',
-            '<table class="dataframe" '
-            'style="'
-            'border-collapse: collapse; '
-            'border: 1px solid #515155; '
-            'margin-left: 0.5em;'
-            'margin-top: 0.5em;'
-            'margin-bottom: 1em;'
-            '">',
-        )
 
-        # Manually apply text alignment to headers
-        if not skip_headers:
-            for col, align in zip(columns_headers, columns_alignment, strict=True):
-                html = html.replace(f'<th>{col}', f'<th style="text-align: {align};">{col}')
-
-        # Display or update the table in Jupyter Notebook
-        if display_handle is not None:
-            display_handle.update(HTML(html))
-        else:
-            display(HTML(html))
-
-    # Use tabulate for terminal rendering
-    else:
-        if columns_headers is None:
-            columns_headers = []
-
-        indices = show_index
-        if show_index:
-            # Force starting index from 1
-            indices = range(1, len(columns_data) + 1)
-
-        table = tabulate(
-            columns_data,
-            headers=columns_headers,
-            tablefmt='fancy_outline',
-            numalign='left',
-            stralign='left',
-            showindex=indices,
-        )
-
-        print(table)
-
-
-def render_cif(cif_text, paragraph_title) -> None:
+def render_cif(cif_text) -> None:
     """Display the CIF text as a formatted table in Jupyter Notebook or
     terminal.
 
     Args:
         cif_text: The CIF text to display.
-        paragraph_title: The title to print above the table.
     """
-    # Split into lines and replace empty ones with a '&nbsp;'
-    # (non-breaking space) to force empty lines to be rendered in
-    # full height in the table. This is only needed in Jupyter Notebook.
-    if is_notebook():
-        lines: List[str] = [line if line.strip() else '&nbsp;' for line in cif_text.splitlines()]
-    else:
-        lines: List[str] = [line for line in cif_text.splitlines()]
+    # Split into lines
+    lines: List[str] = [line for line in cif_text.splitlines()]
 
     # Convert each line into a single-column format for table rendering
     columns: List[List[str]] = [[line] for line in lines]
 
-    # Print title paragraph
-    print(paragraph_title)
-
     # Render the table using left alignment and no headers
     render_table(
-        columns_data=columns,
+        columns_headers=['CIF'],
         columns_alignment=['left'],
+        columns_data=columns,
     )
 
 
@@ -689,3 +605,47 @@ def get_value_from_xye_header(file_path, key):
         return float(match.group(1))
     else:
         raise ValueError(f'{key} not found in the header.')
+
+
+def str_to_ufloat(s: Optional[str], default: Optional[float] = None) -> UFloat:
+    """Parse a CIF-style numeric string into a `ufloat` with an optional
+    uncertainty.
+
+    Examples of supported input:
+    - "3.566"       → ufloat(3.566, nan)
+    - "3.566(2)"    → ufloat(3.566, 0.002)
+    - None          → ufloat(default, nan)
+
+    Behavior:
+    - If the input string contains a value with parentheses (e.g.
+      "3.566(2)"), the number in parentheses is interpreted as an
+      estimated standard deviation (esd) in the last digit(s).
+    - If the input string has no parentheses, an uncertainty of NaN is
+      assigned to indicate "no esd provided".
+    - If parsing fails, the function falls back to the given `default`
+      value with uncertainty NaN.
+
+    Parameters
+    ----------
+    s : str or None
+        Numeric string in CIF format (e.g. "3.566", "3.566(2)") or None.
+    default : float or None, optional
+        Default value to use if `s` is None or parsing fails.
+        Defaults to None.
+
+    Returns:
+    -------
+    UFloat
+        An `uncertainties.UFloat` object with the parsed value and
+        uncertainty. The uncertainty will be NaN if not specified or
+        parsing failed.
+    """
+    if s is None:
+        return ufloat(default, np.nan)
+
+    if '(' not in s and ')' not in s:
+        s = f'{s}(nan)'
+    try:
+        return ufloat_fromstr(s)
+    except Exception:
+        return ufloat(default, np.nan)
diff --git a/tests/functional/fitting/test_powder-diffraction_joint-fit.py b/tests/functional/fitting/test_powder-diffraction_joint-fit.py
deleted file mode 100644
index a9b505a6..00000000
--- a/tests/functional/fitting/test_powder-diffraction_joint-fit.py
+++ /dev/null
@@ -1,230 +0,0 @@
-import os
-import tempfile
-
-import pytest
-from numpy.testing import assert_almost_equal
-
-from easydiffraction import Experiment
-from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
-
-TEMP_DIR = tempfile.gettempdir()
-
-
-@pytest.mark.fast
-def test_joint_fit_split_dataset_neutron_pd_cwl_pbso4() -> None:
-    # Set sample model
-    model = SampleModel('pbso4')
-    model.space_group.name_h_m.value = 'P n m a'
-    model.cell.length_a.value = 8.47
-    model.cell.length_b.value = 5.39
-    model.cell.length_c.value = 6.95
-    model.atom_sites.add('Pb', 'Pb', 0.1876, 0.25, 0.167, b_iso=1.37)
-    model.atom_sites.add('S', 'S', 0.0654, 0.25, 0.684, b_iso=0.3777)
-    model.atom_sites.add('O1', 'O', 0.9082, 0.25, 0.5954, b_iso=1.9764)
-    model.atom_sites.add('O2', 'O', 0.1935, 0.25, 0.5432, b_iso=1.4456)
-    model.atom_sites.add('O3', 'O', 0.0811, 0.0272, 0.8086, b_iso=1.2822)
-
-    # Set experiments
-    data_file = 'd1a_pbso4_first-half.dat'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt1 = Experiment(name='npd1', data_path=os.path.join(TEMP_DIR, data_file))
-    expt1.instrument.setup_wavelength = 1.91
-    expt1.instrument.calib_twotheta_offset = -0.1406
-    expt1.peak.broad_gauss_u = 0.139
-    expt1.peak.broad_gauss_v = -0.4124
-    expt1.peak.broad_gauss_w = 0.386
-    expt1.peak.broad_lorentz_x = 0
-    expt1.peak.broad_lorentz_y = 0.0878
-    expt1.linked_phases.add('pbso4', scale=1.46)
-    expt1.background_type = 'line-segment'
-    for x, y in [
-        (11.0, 206.1624),
-        (15.0, 194.75),
-        (20.0, 194.505),
-        (30.0, 188.4375),
-        (50.0, 207.7633),
-        (70.0, 201.7002),
-        (120.0, 244.4525),
-        (153.0, 226.0595),
-    ]:
-        expt1.background.add(x, y)
-
-    data_file = 'd1a_pbso4_second-half.dat'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt2 = Experiment(name='npd2', data_path=os.path.join(TEMP_DIR, data_file))
-    expt2.instrument.setup_wavelength = 1.91
-    expt2.instrument.calib_twotheta_offset = -0.1406
-    expt2.peak.broad_gauss_u = 0.139
-    expt2.peak.broad_gauss_v = -0.4124
-    expt2.peak.broad_gauss_w = 0.386
-    expt2.peak.broad_lorentz_x = 0
-    expt2.peak.broad_lorentz_y = 0.0878
-    expt2.linked_phases.add('pbso4', scale=1.46)
-    expt2.background_type = 'line-segment'
-    for x, y in [
-        (11.0, 206.1624),
-        (15.0, 194.75),
-        (20.0, 194.505),
-        (30.0, 188.4375),
-        (50.0, 207.7633),
-        (70.0, 201.7002),
-        (120.0, 244.4525),
-        (153.0, 226.0595),
-    ]:
-        expt2.background.add(x, y)
-
-    # Create project
-    project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt1)
-    project.experiments.add(expt2)
-
-    # Prepare for fitting
-    project.analysis.current_calculator = 'cryspy'
-    project.analysis.current_minimizer = 'lmfit (leastsq)'
-    project.analysis.fit_mode = 'joint'
-
-    # Select fitting parameters
-    model.cell.length_a.free = True
-    model.cell.length_b.free = True
-    model.cell.length_c.free = True
-
-    # Perform fit
-    project.analysis.fit()
-
-    # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=4.66, decimal=1)
-
-
-@pytest.mark.fast
-def test_joint_fit_neutron_xray_pd_cwl_pbso4() -> None:
-    # Set sample model
-    model = SampleModel('pbso4')
-    model.space_group.name_h_m = 'P n m a'
-    model.cell.length_a = 8.47
-    model.cell.length_b = 5.39
-    model.cell.length_c = 6.95
-    model.atom_sites.add('Pb', 'Pb', 0.1876, 0.25, 0.167, b_iso=1.37)
-    model.atom_sites.add('S', 'S', 0.0654, 0.25, 0.684, b_iso=0.3777)
-    model.atom_sites.add('O1', 'O', 0.9082, 0.25, 0.5954, b_iso=1.9764)
-    model.atom_sites.add('O2', 'O', 0.1935, 0.25, 0.5432, b_iso=1.4456)
-    model.atom_sites.add('O3', 'O', 0.0811, 0.0272, 0.8086, b_iso=1.2822)
-
-    # Set experiments
-    data_file = 'd1a_pbso4.dat'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt1 = Experiment(
-        name='npd',
-        data_path=os.path.join(TEMP_DIR, data_file),
-        radiation_probe='neutron',
-    )
-    expt1.instrument.setup_wavelength = 1.91
-    expt1.instrument.calib_twotheta_offset = -0.1406
-    expt1.peak.broad_gauss_u = 0.139
-    expt1.peak.broad_gauss_v = -0.412
-    expt1.peak.broad_gauss_w = 0.386
-    expt1.peak.broad_lorentz_x = 0
-    expt1.peak.broad_lorentz_y = 0.088
-    expt1.linked_phases.add('pbso4', scale=1.5)
-    for x, y in [
-        (11.0, 206.1624),
-        (15.0, 194.75),
-        (20.0, 194.505),
-        (30.0, 188.4375),
-        (50.0, 207.7633),
-        (70.0, 201.7002),
-        (120.0, 244.4525),
-        (153.0, 226.0595),
-    ]:
-        expt1.background.add(x, y)
-
-    data_file = 'lab_pbso4.dat'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt2 = Experiment(
-        name='xrd',
-        data_path=os.path.join(TEMP_DIR, data_file),
-        radiation_probe='xray',
-    )
-    expt2.instrument.setup_wavelength = 1.540567
-    expt2.instrument.calib_twotheta_offset = -0.05181
-    expt2.peak.broad_gauss_u = 0.304138
-    expt2.peak.broad_gauss_v = -0.112622
-    expt2.peak.broad_gauss_w = 0.021272
-    expt2.peak.broad_lorentz_x = 0
-    expt2.peak.broad_lorentz_y = 0.057691
-    expt2.linked_phases.add('pbso4', scale=0.001)
-    for x, y in [
-        (11.0, 141.8516),
-        (13.0, 102.8838),
-        (16.0, 78.0551),
-        (20.0, 124.0121),
-        (30.0, 123.7123),
-        (50.0, 120.8266),
-        (90.0, 113.7473),
-        (110.0, 132.4643),
-    ]:
-        expt2.background.add(x, y)
-
-    # Create project
-    project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt1)
-    project.experiments.add(expt2)
-
-    # Prepare for fitting
-    project.analysis.current_calculator = 'cryspy'
-    project.analysis.current_minimizer = 'lmfit (leastsq)'
-
-    # Select fitting parameters
-    model.cell.length_a.free = True
-    model.cell.length_b.free = True
-    model.cell.length_c.free = True
-    expt1.linked_phases['pbso4'].scale.free = True
-    expt2.linked_phases['pbso4'].scale.free = True
-
-    # ------------ 1st fitting ------------
-
-    # Perform fit
-    project.analysis.fit_mode = 'single'  # Default
-    project.analysis.fit()
-
-    # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=26.05, decimal=1)
-
-    # ------------ 2nd fitting ------------
-
-    # Perform fit
-    project.analysis.fit_mode = 'joint'
-    project.analysis.fit()
-
-    # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=21.09, decimal=1)
-
-    # ------------ 3rd fitting ------------
-
-    # Perform fit
-    project.analysis.joint_fit_experiments['xrd'].weight = 0.5  # Default
-    project.analysis.joint_fit_experiments['npd'].weight = 0.5  # Default
-    project.analysis.fit_mode = 'joint'
-    project.analysis.fit()
-
-    # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=21.09, decimal=1)
-
-    # ------------ 4th fitting ------------
-
-    # Perform fit
-    project.analysis.joint_fit_experiments['xrd'].weight = 0.3
-    project.analysis.joint_fit_experiments['npd'].weight = 0.7
-    project.analysis.fit_mode = 'joint'
-    project.analysis.fit()
-
-    # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=14.39, decimal=1)
-
-
-if __name__ == '__main__':
-    test_joint_fit_split_dataset_neutron_pd_cwl_pbso4()
-    test_joint_fit_neutron_xray_pd_cwl_pbso4()
diff --git a/tests/functional/fitting/test_pair-distribution-function.py b/tests/integration/fitting/test_pair-distribution-function.py
similarity index 74%
rename from tests/functional/fitting/test_pair-distribution-function.py
rename to tests/integration/fitting/test_pair-distribution-function.py
index 70f03d7a..6235b3c7 100644
--- a/tests/functional/fitting/test_pair-distribution-function.py
+++ b/tests/integration/fitting/test_pair-distribution-function.py
@@ -1,4 +1,6 @@
-import os
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
 import tempfile
 
 import pytest
@@ -19,18 +21,29 @@ def test_single_fit_pdf_xray_pd_cw_nacl() -> None:
     sample_model.space_group.it_coordinate_system_code = '1'
     sample_model.cell.length_a = 5.6018
     sample_model.atom_sites.add(
-        label='Na', type_symbol='Na', fract_x=0, fract_y=0, fract_z=0, wyckoff_letter='a', b_iso=1.1053
+        label='Na',
+        type_symbol='Na',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=1.1053,
     )
     sample_model.atom_sites.add(
-        label='Cl', type_symbol='Cl', fract_x=0.5, fract_y=0.5, fract_z=0.5, wyckoff_letter='b', b_iso=0.5708
+        label='Cl',
+        type_symbol='Cl',
+        fract_x=0.5,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=0.5708,
     )
 
     # Set experiment
-    data_file = 'NaCl.gr'
-    ed.download_from_repository(data_file, destination=TEMP_DIR)
-    project.experiments.add_from_data_path(
+    data_path = ed.download_data(id=4, destination=TEMP_DIR)
+    project.experiments.add(
         name='xray_pdf',
-        data_path=os.path.join(TEMP_DIR, data_file),
+        data_path=data_path,
         sample_form='powder',
         beam_mode='constant wavelength',
         radiation_probe='xray',
@@ -59,7 +72,8 @@ def test_single_fit_pdf_xray_pd_cw_nacl() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=1.48, decimal=2)
+    chi2 = project.analysis.fit_results.reduced_chi_square
+    assert_almost_equal(chi2, desired=1.48, decimal=2)
 
 
 @pytest.mark.fast
@@ -73,15 +87,20 @@ def test_single_fit_pdf_neutron_pd_cw_ni():
     sample_model.space_group.it_coordinate_system_code = '1'
     sample_model.cell.length_a = 3.526
     sample_model.atom_sites.add(
-        label='Ni', type_symbol='Ni', fract_x=0, fract_y=0, fract_z=0, wyckoff_letter='a', b_iso=0.4281
+        label='Ni',
+        type_symbol='Ni',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=0.4281,
     )
 
     # Set experiment
-    data_file = 'ni-q27r100-neutron_from-2.gr'
-    ed.download_from_repository(data_file, destination=TEMP_DIR)
-    project.experiments.add_from_data_path(
+    data_path = ed.download_data(id=6, destination=TEMP_DIR)
+    project.experiments.add(
         name='pdf',
-        data_path=os.path.join(TEMP_DIR, data_file),
+        data_path=data_path,
         sample_form='powder',
         beam_mode='constant wavelength',
         radiation_probe='neutron',
@@ -108,7 +127,8 @@ def test_single_fit_pdf_neutron_pd_cw_ni():
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=207.1, decimal=1)
+    chi2 = project.analysis.fit_results.reduced_chi_square
+    assert_almost_equal(chi2, desired=207.1, decimal=1)
 
 
 def test_single_fit_pdf_neutron_pd_tof_si():
@@ -120,14 +140,21 @@ def test_single_fit_pdf_neutron_pd_tof_si():
     sample_model.space_group.name_h_m.value = 'F d -3 m'
     sample_model.space_group.it_coordinate_system_code = '1'
     sample_model.cell.length_a = 5.4306
-    sample_model.atom_sites.add(label='Si', type_symbol='Si', fract_x=0, fract_y=0, fract_z=0, wyckoff_letter='a', b_iso=0.717)
+    sample_model.atom_sites.add(
+        label='Si',
+        type_symbol='Si',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=0.717,
+    )
 
     # Set experiment
-    data_file = 'NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr'
-    ed.download_from_repository(data_file, destination=TEMP_DIR)
-    project.experiments.add_from_data_path(
+    data_path = ed.download_data(id=5, destination=TEMP_DIR)
+    project.experiments.add(
         name='nomad',
-        data_path=os.path.join(TEMP_DIR, data_file),
+        data_path=data_path,
         sample_form='powder',
         beam_mode='time-of-flight',
         radiation_probe='neutron',
@@ -156,7 +183,8 @@ def test_single_fit_pdf_neutron_pd_tof_si():
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=170.54, decimal=1)
+    chi2 = project.analysis.fit_results.reduced_chi_square
+    assert_almost_equal(chi2, desired=170.54, decimal=1)
 
 
 if __name__ == '__main__':
diff --git a/tests/functional/fitting/test_powder-diffraction_constant-wavelength.py b/tests/integration/fitting/test_powder-diffraction_constant-wavelength.py
similarity index 54%
rename from tests/functional/fitting/test_powder-diffraction_constant-wavelength.py
rename to tests/integration/fitting/test_powder-diffraction_constant-wavelength.py
index 98c0a5fc..6c8c689c 100644
--- a/tests/functional/fitting/test_powder-diffraction_constant-wavelength.py
+++ b/tests/integration/fitting/test_powder-diffraction_constant-wavelength.py
@@ -1,46 +1,89 @@
-import os
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
 import tempfile
 
 import pytest
 from numpy.testing import assert_almost_equal
 
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 TEMP_DIR = tempfile.gettempdir()
 
 
 def test_single_fit_neutron_pd_cwl_lbco() -> None:
     # Set sample model
-    model = SampleModel('lbco')
+    model = SampleModelFactory.create(name='lbco')
     model.space_group.name_h_m = 'P m -3 m'
     model.cell.length_a = 3.88
-    model.atom_sites.add('La', 'La', 0, 0, 0, occupancy=0.5, b_iso=0.1)
-    model.atom_sites.add('Ba', 'Ba', 0, 0, 0, occupancy=0.5, b_iso=0.1)
-    model.atom_sites.add('Co', 'Co', 0.5, 0.5, 0.5, b_iso=0.1)
-    model.atom_sites.add('O', 'O', 0, 0.5, 0.5, b_iso=0.1)
+    model.atom_sites.add(
+        label='La',
+        type_symbol='La',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        occupancy=0.5,
+        b_iso=0.1,
+    )
+    model.atom_sites.add(
+        label='Ba',
+        type_symbol='Ba',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        occupancy=0.5,
+        b_iso=0.1,
+    )
+    model.atom_sites.add(
+        label='Co',
+        type_symbol='Co',
+        fract_x=0.5,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=0.1,
+    )
+    model.atom_sites.add(
+        label='O',
+        type_symbol='O',
+        fract_x=0,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='c',
+        b_iso=0.1,
+    )
 
     # Set experiment
-    data_file = 'hrpt_lbco.xye'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt = Experiment(name='hrpt', data_path=os.path.join(TEMP_DIR, data_file))
+    data_path = download_data(id=3, destination=TEMP_DIR)
+
+    expt = ExperimentFactory.create(
+        name='hrpt',
+        data_path=data_path,
+    )
+
     expt.instrument.setup_wavelength = 1.494
     expt.instrument.calib_twotheta_offset = 0
+
     expt.peak.broad_gauss_u = 0.1
     expt.peak.broad_gauss_v = -0.1
     expt.peak.broad_gauss_w = 0.2
     expt.peak.broad_lorentz_x = 0
     expt.peak.broad_lorentz_y = 0
-    expt.linked_phases.add('lbco', scale=5.0)
-    expt.background.add(x=10, y=170)
-    expt.background.add(x=165, y=170)
+
+    expt.linked_phases.add(id='lbco', scale=5.0)
+
+    expt.background.add(id='1', x=10, y=170)
+    expt.background.add(id='2', x=165, y=170)
 
     # Create project
     project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt)
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt)
 
     # Prepare for fitting
     project.analysis.current_calculator = 'cryspy'
@@ -52,14 +95,18 @@ def test_single_fit_neutron_pd_cwl_lbco() -> None:
     model.cell.length_a.free = True
     expt.linked_phases['lbco'].scale.free = True
     expt.instrument.calib_twotheta_offset.free = True
-    expt.background['10'].y.free = True
-    expt.background['165'].y.free = True
+    expt.background['1'].y.free = True
+    expt.background['2'].y.free = True
 
     # Perform fit
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=5.79, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=5.79,
+        decimal=1,
+    )
 
     # ------------ 2nd fitting ------------
 
@@ -73,7 +120,11 @@ def test_single_fit_neutron_pd_cwl_lbco() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=4.41, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=4.41,
+        decimal=1,
+    )
 
     # ------------ 3rd fitting ------------
 
@@ -87,13 +138,17 @@ def test_single_fit_neutron_pd_cwl_lbco() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=1.3, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=1.3,
+        decimal=1,
+    )
 
 
 @pytest.mark.fast
 def test_single_fit_neutron_pd_cwl_lbco_with_constraints() -> None:
     # Set sample model
-    model = SampleModel('lbco')
+    model = SampleModelFactory.create(name='lbco')
 
     space_group = model.space_group
     space_group.name_h_m = 'P m -3 m'
@@ -102,16 +157,52 @@ def test_single_fit_neutron_pd_cwl_lbco_with_constraints() -> None:
     cell.length_a = 3.8909
 
     atom_sites = model.atom_sites
-    atom_sites.add('La', 'La', 0, 0, 0, b_iso=1.0, occupancy=0.5)
-    atom_sites.add('Ba', 'Ba', 0, 0, 0, b_iso=1.0, occupancy=0.5)
-    atom_sites.add('Co', 'Co', 0.5, 0.5, 0.5, b_iso=1.0)
-    atom_sites.add('O', 'O', 0, 0.5, 0.5, b_iso=1.0)
+    atom_sites.add(
+        label='La',
+        type_symbol='La',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=1.0,
+        occupancy=0.5,
+    )
+    atom_sites.add(
+        label='Ba',
+        type_symbol='Ba',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=1.0,
+        occupancy=0.5,
+    )
+    atom_sites.add(
+        label='Co',
+        type_symbol='Co',
+        fract_x=0.5,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=1.0,
+    )
+    atom_sites.add(
+        label='O',
+        type_symbol='O',
+        fract_x=0,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='c',
+        b_iso=1.0,
+    )
 
     # Set experiment
-    data_file = 'hrpt_lbco.xye'
-    download_from_repository(data_file, destination=TEMP_DIR)
+    data_path = download_data(id=3, destination=TEMP_DIR)
 
-    expt = Experiment(name='hrpt', data_path=os.path.join(TEMP_DIR, data_file))
+    expt = ExperimentFactory.create(
+        name='hrpt',
+        data_path=data_path,
+    )
 
     instrument = expt.instrument
     instrument.setup_wavelength = 1.494
@@ -125,23 +216,23 @@ def test_single_fit_neutron_pd_cwl_lbco_with_constraints() -> None:
     peak.broad_lorentz_y = 0.0797
 
     background = expt.background
-    background.add(x=10, y=174.3)
-    background.add(x=20, y=159.8)
-    background.add(x=30, y=167.9)
-    background.add(x=50, y=166.1)
-    background.add(x=70, y=172.3)
-    background.add(x=90, y=171.1)
-    background.add(x=110, y=172.4)
-    background.add(x=130, y=182.5)
-    background.add(x=150, y=173.0)
-    background.add(x=165, y=171.1)
-
-    expt.linked_phases.add('lbco', scale=9.0976)
+    background.add(id='10', x=10, y=174.3)
+    background.add(id='20',x=20, y=159.8)
+    background.add(id='30',x=30, y=167.9)
+    background.add(id='50',x=50, y=166.1)
+    background.add(id='70',x=70, y=172.3)
+    background.add(id='90',x=90, y=171.1)
+    background.add(id='110',x=110, y=172.4)
+    background.add(id='130',x=130, y=182.5)
+    background.add(id='150',x=150, y=173.0)
+    background.add(id='165',x=165, y=171.1)
+
+    expt.linked_phases.add(id='lbco', scale=9.0976)
 
     # Create project
     project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt)
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt)
 
     # Prepare for fitting
     project.analysis.current_calculator = 'cryspy'
@@ -177,15 +268,23 @@ def test_single_fit_neutron_pd_cwl_lbco_with_constraints() -> None:
     assert_almost_equal(atom_sites['Ba'].occupancy.value, desired=1.3206, decimal=2)
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=1.24, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=1.24,
+        decimal=1,
+    )
 
     # ------------ 2nd fitting ------------
 
     # Set aliases for parameters
     project.analysis.aliases.add(label='biso_La', param_uid=atom_sites['La'].b_iso.uid)
     project.analysis.aliases.add(label='biso_Ba', param_uid=atom_sites['Ba'].b_iso.uid)
-    project.analysis.aliases.add(label='occ_La', param_uid=atom_sites['La'].occupancy.uid)
-    project.analysis.aliases.add(label='occ_Ba', param_uid=atom_sites['Ba'].occupancy.uid)
+    project.analysis.aliases.add(
+        label='occ_La', param_uid=atom_sites['La'].occupancy.uid
+    )
+    project.analysis.aliases.add(
+        label='occ_Ba', param_uid=atom_sites['Ba'].occupancy.uid
+    )
 
     # Set constraints
     project.analysis.constraints.add(lhs_alias='biso_Ba', rhs_expr='biso_La')
@@ -206,49 +305,96 @@ def test_single_fit_neutron_pd_cwl_lbco_with_constraints() -> None:
     assert_almost_equal(atom_sites['Ba'].occupancy.value, desired=0.4726, decimal=2)
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=1.24, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=1.24,
+        decimal=1,
+    )
 
 
 def test_fit_neutron_pd_cwl_hs() -> None:
     # Set sample model
-    model = SampleModel('hs')
+    model = SampleModelFactory.create(name='hs')
     model.space_group.name_h_m = 'R -3 m'
     model.space_group.it_coordinate_system_code = 'h'
     model.cell.length_a = 6.8615
     model.cell.length_c = 14.136
-    model.atom_sites.add('Zn', 'Zn', 0, 0, 0.5, wyckoff_letter='b', b_iso=0.1)
-    model.atom_sites.add('Cu', 'Cu', 0.5, 0, 0, wyckoff_letter='e', b_iso=1.2)
-    model.atom_sites.add('O', 'O', 0.206, -0.206, 0.061, wyckoff_letter='h', b_iso=0.7)
-    model.atom_sites.add('Cl', 'Cl', 0, 0, 0.197, wyckoff_letter='c', b_iso=1.1)
-    model.atom_sites.add('H', '2H', 0.132, -0.132, 0.09, wyckoff_letter='h', b_iso=2.3)
-    model.apply_symmetry_constraints()
+    model.atom_sites.add(
+        label='Zn',
+        type_symbol='Zn',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=0.1,
+    )
+    model.atom_sites.add(
+        label='Cu',
+        type_symbol='Cu',
+        fract_x=0.5,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='e',
+        b_iso=1.2,
+    )
+    model.atom_sites.add(
+        label='O',
+        type_symbol='O',
+        fract_x=0.206,
+        fract_y=-0.206,
+        fract_z=0.061,
+        wyckoff_letter='h',
+        b_iso=0.7,
+    )
+    model.atom_sites.add(
+        label='Cl',
+        type_symbol='Cl',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0.197,
+        wyckoff_letter='c',
+        b_iso=1.1,
+    )
+    model.atom_sites.add(
+        label='H',
+        type_symbol='2H',
+        fract_x=0.132,
+        fract_y=-0.132,
+        fract_z=0.09,
+        wyckoff_letter='h',
+        b_iso=2.3,
+    )
 
     # Set experiment
-    data_file = 'hrpt_hs.xye'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt = Experiment(name='hrpt', data_path=os.path.join(TEMP_DIR, data_file))
+    data_path = download_data(id=11, destination=TEMP_DIR)
+
+    expt = ExperimentFactory.create(name='hrpt', data_path=data_path)
+
     expt.instrument.setup_wavelength = 1.89
     expt.instrument.calib_twotheta_offset = 0.0
+
     expt.peak.broad_gauss_u = 0.1579
     expt.peak.broad_gauss_v = -0.3571
     expt.peak.broad_gauss_w = 0.3498
     expt.peak.broad_lorentz_x = 0.2927
     expt.peak.broad_lorentz_y = 0
-    expt.background.add(x=4.4196, y=648.413)
-    expt.background.add(x=6.6207, y=523.788)
-    expt.background.add(x=10.4918, y=454.938)
-    expt.background.add(x=15.4634, y=435.913)
-    expt.background.add(x=45.6041, y=472.972)
-    expt.background.add(x=74.6844, y=486.606)
-    expt.background.add(x=103.4187, y=472.409)
-    expt.background.add(x=121.6311, y=496.734)
-    expt.background.add(x=159.4116, y=473.146)
-    expt.linked_phases.add('hs', scale=0.492)
+
+    expt.background.add(id='1', x=4.4196, y=648.413)
+    expt.background.add(id='2', x=6.6207, y=523.788)
+    expt.background.add(id='3', x=10.4918, y=454.938)
+    expt.background.add(id='4', x=15.4634, y=435.913)
+    expt.background.add(id='5', x=45.6041, y=472.972)
+    expt.background.add(id='6', x=74.6844, y=486.606)
+    expt.background.add(id='7', x=103.4187, y=472.409)
+    expt.background.add(id='8', x=121.6311, y=496.734)
+    expt.background.add(id='9', x=159.4116, y=473.146)
+
+    expt.linked_phases.add(id='hs', scale=0.492)
 
     # Create project
     project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt)
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt)
 
     # Prepare for fitting
     project.analysis.current_calculator = 'cryspy'
@@ -266,7 +412,11 @@ def test_fit_neutron_pd_cwl_hs() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=2.11, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=2.11,
+        decimal=1,
+    )
 
     # ------------ 2nd fitting ------------
 
@@ -282,7 +432,11 @@ def test_fit_neutron_pd_cwl_hs() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=2.11, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=2.11,
+        decimal=1,
+    )
 
     # ------------ 3rd fitting ------------
 
@@ -297,7 +451,11 @@ def test_fit_neutron_pd_cwl_hs() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=2.11, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=2.11,
+        decimal=1,
+    )
 
     # ------------ 3rd fitting ------------
 
@@ -312,7 +470,11 @@ def test_fit_neutron_pd_cwl_hs() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=2.11, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=2.11,
+        decimal=1,
+    )
 
 
 if __name__ == '__main__':
diff --git a/tests/integration/fitting/test_powder-diffraction_joint-fit.py b/tests/integration/fitting/test_powder-diffraction_joint-fit.py
new file mode 100644
index 00000000..e22b74c4
--- /dev/null
+++ b/tests/integration/fitting/test_powder-diffraction_joint-fit.py
@@ -0,0 +1,328 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import tempfile
+
+import pytest
+from numpy.testing import assert_almost_equal
+
+from easydiffraction import ExperimentFactory
+from easydiffraction import Project
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
+
+TEMP_DIR = tempfile.gettempdir()
+
+
+@pytest.mark.fast
+def test_joint_fit_split_dataset_neutron_pd_cwl_pbso4() -> None:
+    # Set sample model
+    model = SampleModelFactory.create(name='pbso4')
+    model.space_group.name_h_m = 'P n m a'
+    model.cell.length_a = 8.47
+    model.cell.length_b = 5.39
+    model.cell.length_c = 6.95
+    model.atom_sites.add(
+        label='Pb',
+        type_symbol='Pb',
+        fract_x=0.1876,
+        fract_y=0.25,
+        fract_z=0.167,
+        wyckoff_letter='c',
+        b_iso=1.37,
+    )
+    model.atom_sites.add(
+        label='S',
+        type_symbol='S',
+        fract_x=0.0654,
+        fract_y=0.25,
+        fract_z=0.684,
+        wyckoff_letter='c',
+        b_iso=0.3777,
+    )
+    model.atom_sites.add(
+        label='O1',
+        type_symbol='O',
+        fract_x=0.9082,
+        fract_y=0.25,
+        fract_z=0.5954,
+        wyckoff_letter='c',
+        b_iso=1.9764,
+    )
+    model.atom_sites.add(
+        label='O2',
+        type_symbol='O',
+        fract_x=0.1935,
+        fract_y=0.25,
+        fract_z=0.5432,
+        wyckoff_letter='c',
+        b_iso=1.4456,
+    )
+    model.atom_sites.add(
+        label='O3',
+        type_symbol='O',
+        fract_x=0.0811,
+        fract_y=0.0272,
+        fract_z=0.8086,
+        wyckoff_letter='d',
+        b_iso=1.2822,
+    )
+
+    # Set experiments
+    data_path = download_data(id=14, destination=TEMP_DIR)
+    expt1 = ExperimentFactory.create(name='npd1', data_path=data_path)
+    expt1.instrument.setup_wavelength = 1.91
+    expt1.instrument.calib_twotheta_offset = -0.1406
+    expt1.peak.broad_gauss_u = 0.139
+    expt1.peak.broad_gauss_v = -0.4124
+    expt1.peak.broad_gauss_w = 0.386
+    expt1.peak.broad_lorentz_x = 0
+    expt1.peak.broad_lorentz_y = 0.0878
+    expt1.linked_phases.add(id='pbso4', scale=1.46)
+    expt1.background_type = 'line-segment'
+    for id, x, y in [
+        ('1', 11.0, 206.1624),
+        ('2', 15.0, 194.75),
+        ('3', 20.0, 194.505),
+        ('4', 30.0, 188.4375),
+        ('5', 50.0, 207.7633),
+        ('6', 70.0, 201.7002),
+        ('7', 120.0, 244.4525),
+        ('8', 153.0, 226.0595),
+    ]:
+        expt1.background.add(id=id, x=x, y=y)
+
+    data_path = download_data(id=15, destination=TEMP_DIR)
+    expt2 = ExperimentFactory.create(name='npd2', data_path=data_path)
+    expt2.instrument.setup_wavelength = 1.91
+    expt2.instrument.calib_twotheta_offset = -0.1406
+    expt2.peak.broad_gauss_u = 0.139
+    expt2.peak.broad_gauss_v = -0.4124
+    expt2.peak.broad_gauss_w = 0.386
+    expt2.peak.broad_lorentz_x = 0
+    expt2.peak.broad_lorentz_y = 0.0878
+    expt2.linked_phases.add(id='pbso4', scale=1.46)
+    expt2.background_type = 'line-segment'
+    for id, x, y in [
+        ('1', 11.0, 206.1624),
+        ('2', 15.0, 194.75),
+        ('3', 20.0, 194.505),
+        ('4', 30.0, 188.4375),
+        ('5', 50.0, 207.7633),
+        ('6', 70.0, 201.7002),
+        ('7', 120.0, 244.4525),
+        ('8', 153.0, 226.0595),
+    ]:
+        expt2.background.add(id=id, x=x, y=y)
+
+    # Create project
+    project = Project()
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt1)
+    project.experiments.add(experiment=expt2)
+
+    # Prepare for fitting
+    project.analysis.current_calculator = 'cryspy'
+    project.analysis.current_minimizer = 'lmfit (leastsq)'
+    project.analysis.fit_mode = 'joint'
+
+    # Select fitting parameters
+    model.cell.length_a.free = True
+    model.cell.length_b.free = True
+    model.cell.length_c.free = True
+
+    # Perform fit
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=4.66,
+        decimal=1,
+    )
+
+
+@pytest.mark.fast
+def test_joint_fit_neutron_xray_pd_cwl_pbso4() -> None:
+    # Set sample model
+    model = SampleModelFactory.create(name='pbso4')
+    model.space_group.name_h_m = 'P n m a'
+    model.cell.length_a = 8.47
+    model.cell.length_b = 5.39
+    model.cell.length_c = 6.95
+    model.atom_sites.add(
+        label='Pb',
+        type_symbol='Pb',
+        fract_x=0.1876,
+        fract_y=0.25,
+        fract_z=0.167,
+        wyckoff_letter='c',
+        b_iso=1.37,
+    )
+    model.atom_sites.add(
+        label='S',
+        type_symbol='S',
+        fract_x=0.0654,
+        fract_y=0.25,
+        fract_z=0.684,
+        wyckoff_letter='c',
+        b_iso=0.3777,
+    )
+    model.atom_sites.add(
+        label='O1',
+        type_symbol='O',
+        fract_x=0.9082,
+        fract_y=0.25,
+        fract_z=0.5954,
+        wyckoff_letter='c',
+        b_iso=1.9764,
+    )
+    model.atom_sites.add(
+        label='O2',
+        type_symbol='O',
+        fract_x=0.1935,
+        fract_y=0.25,
+        fract_z=0.5432,
+        wyckoff_letter='c',
+        b_iso=1.4456,
+    )
+    model.atom_sites.add(
+        label='O3',
+        type_symbol='O',
+        fract_x=0.0811,
+        fract_y=0.0272,
+        fract_z=0.8086,
+        wyckoff_letter='d',
+        b_iso=1.2822,
+    )
+
+    # Set experiments
+    data_path = download_data(id=13, destination=TEMP_DIR)
+    expt1 = ExperimentFactory.create(
+        name='npd',
+        data_path=data_path,
+        radiation_probe='neutron',
+    )
+    expt1.instrument.setup_wavelength = 1.91
+    expt1.instrument.calib_twotheta_offset = -0.1406
+    expt1.peak.broad_gauss_u = 0.139
+    expt1.peak.broad_gauss_v = -0.412
+    expt1.peak.broad_gauss_w = 0.386
+    expt1.peak.broad_lorentz_x = 0
+    expt1.peak.broad_lorentz_y = 0.088
+    expt1.linked_phases.add(id='pbso4', scale=1.5)
+    for id, x, y in [
+        ('1', 11.0, 206.1624),
+        ('2', 15.0, 194.75),
+        ('3', 20.0, 194.505),
+        ('4', 30.0, 188.4375),
+        ('5', 50.0, 207.7633),
+        ('6', 70.0, 201.7002),
+        ('7', 120.0, 244.4525),
+        ('8', 153.0, 226.0595),
+    ]:
+        expt1.background.add(id=id, x=x, y=y)
+
+    data_path = download_data(id=16, destination=TEMP_DIR)
+    expt2 = ExperimentFactory.create(
+        name='xrd',
+        data_path=data_path,
+        radiation_probe='xray',
+    )
+    expt2.instrument.setup_wavelength = 1.540567
+    expt2.instrument.calib_twotheta_offset = -0.05181
+    expt2.peak.broad_gauss_u = 0.304138
+    expt2.peak.broad_gauss_v = -0.112622
+    expt2.peak.broad_gauss_w = 0.021272
+    expt2.peak.broad_lorentz_x = 0
+    expt2.peak.broad_lorentz_y = 0.057691
+    expt2.linked_phases.add(id='pbso4', scale=0.001)
+    for id, x, y in [
+        ('1', 11.0, 141.8516),
+        ('2', 13.0, 102.8838),
+        ('3', 16.0, 78.0551),
+        ('4', 20.0, 124.0121),
+        ('5', 30.0, 123.7123),
+        ('6', 50.0, 120.8266),
+        ('7', 90.0, 113.7473),
+        ('8', 110.0, 132.4643),
+    ]:
+        expt2.background.add(id=id, x=x, y=y)
+
+    # Create project
+    project = Project()
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt1)
+    project.experiments.add(experiment=expt2)
+
+    # Prepare for fitting
+    project.analysis.current_calculator = 'cryspy'
+    project.analysis.current_minimizer = 'lmfit (leastsq)'
+
+    # Select fitting parameters
+    model.cell.length_a.free = True
+    model.cell.length_b.free = True
+    model.cell.length_c.free = True
+    expt1.linked_phases['pbso4'].scale.free = True
+    expt2.linked_phases['pbso4'].scale.free = True
+
+    # ------------ 1st fitting ------------
+
+    # Perform fit
+    project.analysis.fit_mode = 'single'  # Default
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=26.05,
+        decimal=1,
+    )
+
+    # ------------ 2nd fitting ------------
+
+    # Perform fit
+    project.analysis.fit_mode = 'joint'
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=21.09,
+        decimal=1,
+    )
+
+    # ------------ 3rd fitting ------------
+
+    # Perform fit
+    project.analysis.joint_fit_experiments['xrd'].weight = 0.5  # Default
+    project.analysis.joint_fit_experiments['npd'].weight = 0.5  # Default
+    project.analysis.fit_mode = 'joint'
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=21.09,
+        decimal=1,
+    )
+
+    # ------------ 4th fitting ------------
+
+    # Perform fit
+    project.analysis.joint_fit_experiments['xrd'].weight = 0.3
+    project.analysis.joint_fit_experiments['npd'].weight = 0.7
+    project.analysis.fit_mode = 'joint'
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=14.39,
+        decimal=1,
+    )
+
+
+if __name__ == '__main__':
+    test_joint_fit_split_dataset_neutron_pd_cwl_pbso4()
+    test_joint_fit_neutron_xray_pd_cwl_pbso4()
diff --git a/tests/functional/fitting/test_powder-diffraction_multiphase.py b/tests/integration/fitting/test_powder-diffraction_multiphase.py
similarity index 55%
rename from tests/functional/fitting/test_powder-diffraction_multiphase.py
rename to tests/integration/fitting/test_powder-diffraction_multiphase.py
index c75bc110..aed73b2d 100644
--- a/tests/functional/fitting/test_powder-diffraction_multiphase.py
+++ b/tests/integration/fitting/test_powder-diffraction_multiphase.py
@@ -1,39 +1,82 @@
-import os
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
 import tempfile
 
 from numpy.testing import assert_almost_equal
 
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 TEMP_DIR = tempfile.gettempdir()
 
 
 def test_single_fit_neutron_pd_tof_mcstas_lbco_si() -> None:
     # Set sample models
-    model_1 = SampleModel('lbco')
+    model_1 = SampleModelFactory.create(name='lbco')
     model_1.space_group.name_h_m = 'P m -3 m'
     model_1.space_group.it_coordinate_system_code = '1'
     model_1.cell.length_a = 3.8909
-    model_1.atom_sites.add('La', 'La', 0, 0, 0, wyckoff_letter='a', b_iso=0.2, occupancy=0.5)
-    model_1.atom_sites.add('Ba', 'Ba', 0, 0, 0, wyckoff_letter='a', b_iso=0.2, occupancy=0.5)
-    model_1.atom_sites.add('Co', 'Co', 0.5, 0.5, 0.5, wyckoff_letter='b', b_iso=0.2567)
-    model_1.atom_sites.add('O', 'O', 0, 0.5, 0.5, wyckoff_letter='c', b_iso=1.4041)
+    model_1.atom_sites.add(
+        label='La',
+        type_symbol='La',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=0.2,
+        occupancy=0.5,
+    )
+    model_1.atom_sites.add(
+        label='Ba',
+        type_symbol='Ba',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        b_iso=0.2,
+        occupancy=0.5,
+    )
+    model_1.atom_sites.add(
+        label='Co',
+        type_symbol='Co',
+        fract_x=0.5,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=0.2567,
+    )
+    model_1.atom_sites.add(
+        label='O',
+        type_symbol='O',
+        fract_x=0,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='c',
+        b_iso=1.4041,
+    )
 
-    model_2 = SampleModel('si')
+    model_2 = SampleModelFactory.create(name='si')
     model_2.space_group.name_h_m = 'F d -3 m'
     model_2.space_group.it_coordinate_system_code = '2'
     model_2.cell.length_a = 5.43146
-    model_2.atom_sites.add('Si', 'Si', 0.0, 0.0, 0.0, wyckoff_letter='a', b_iso=0.0)
+    model_2.atom_sites.add(
+        label='Si',
+        type_symbol='Si',
+        fract_x=0.0,
+        fract_y=0.0,
+        fract_z=0.0,
+        wyckoff_letter='a',
+        b_iso=0.0,
+    )
 
     # Set experiment
-    data_file = 'mcstas_lbco-si.xys'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt = Experiment(
+    data_path = download_data(id=8, destination=TEMP_DIR)
+    expt = ExperimentFactory.create(
         name='mcstas',
-        data_path=os.path.join(TEMP_DIR, data_file),
+        data_path=data_path,
         beam_mode='time-of-flight',
     )
     expt.instrument.setup_twotheta_bank = 94.90931761529106
@@ -48,16 +91,16 @@ def test_single_fit_neutron_pd_tof_mcstas_lbco_si() -> None:
     expt.peak.broad_mix_beta_1 = 0.0041
     expt.peak.asym_alpha_0 = 0.0
     expt.peak.asym_alpha_1 = 0.0097
-    expt.linked_phases.add('lbco', scale=4.0)
-    expt.linked_phases.add('si', scale=0.2)
+    expt.linked_phases.add(id='lbco', scale=4.0)
+    expt.linked_phases.add(id='si', scale=0.2)
     for x in range(45000, 115000, 5000):
-        expt.background.add(x=x, y=0.2)
+        expt.background.add(id=str(x), x=x, y=0.2)
 
     # Create project
     project = Project()
-    project.sample_models.add(model_1)
-    project.sample_models.add(model_2)
-    project.experiments.add(expt)
+    project.sample_models.add(sample_model=model_1)
+    project.sample_models.add(sample_model=model_2)
+    project.experiments.add(experiment=expt)
 
     # Exclude regions from fitting
     project.experiments['mcstas'].excluded_regions.add(start=108000, end=200000)
@@ -89,7 +132,11 @@ def test_single_fit_neutron_pd_tof_mcstas_lbco_si() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=2.87, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=2.87,
+        decimal=1,
+    )
 
 
 if __name__ == '__main__':
diff --git a/tests/functional/fitting/test_powder-diffraction_time-of-flight.py b/tests/integration/fitting/test_powder-diffraction_time-of-flight.py
similarity index 56%
rename from tests/functional/fitting/test_powder-diffraction_time-of-flight.py
rename to tests/integration/fitting/test_powder-diffraction_time-of-flight.py
index f77fba0a..e161ffba 100644
--- a/tests/functional/fitting/test_powder-diffraction_time-of-flight.py
+++ b/tests/integration/fitting/test_powder-diffraction_time-of-flight.py
@@ -1,30 +1,40 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
 import os
 import tempfile
 
 from numpy.testing import assert_almost_equal
 
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 TEMP_DIR = tempfile.gettempdir()
 
 
 def test_single_fit_neutron_pd_tof_si() -> None:
     # Set sample model
-    model = SampleModel('si')
+    model = SampleModelFactory.create(name='si')
     model.space_group.name_h_m = 'F d -3 m'
     model.space_group.it_coordinate_system_code = '2'
     model.cell.length_a = 5.4315
-    model.atom_sites.add('Si', 'Si', 0.125, 0.125, 0.125, b_iso=0.529)
+    model.atom_sites.add(
+        label='Si',
+        type_symbol='Si',
+        fract_x=0.125,
+        fract_y=0.125,
+        fract_z=0.125,
+        wyckoff_letter='a',
+        b_iso=0.529,
+    )
 
     # Set experiment
-    data_file = 'sepd_si.xye'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt = Experiment(
+    data_path = download_data(id=7, destination=TEMP_DIR)
+    expt = ExperimentFactory.create(
         name='sepd',
-        data_path=os.path.join(TEMP_DIR, data_file),
+        data_path=data_path,
         beam_mode='time-of-flight',
     )
     expt.instrument.setup_twotheta_bank = 144.845
@@ -39,15 +49,14 @@ def test_single_fit_neutron_pd_tof_si() -> None:
     expt.peak.broad_mix_beta_1 = 0.00946
     expt.peak.asym_alpha_0 = 0.0
     expt.peak.asym_alpha_1 = 0.5971
-    expt.linked_phases.add('si', scale=14.92)
+    expt.linked_phases.add(id='si', scale=14.92)
     for x in range(0, 35000, 5000):
-        expt.background.add(x=x, y=200)
-    expt.show_as_cif()
+        expt.background.add(id=str(x), x=x, y=200)
 
     # Create project
     project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt)
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt)
 
     # Prepare for fitting
     project.analysis.current_calculator = 'cryspy'
@@ -65,30 +74,83 @@ def test_single_fit_neutron_pd_tof_si() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=3.19, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=3.19,
+        decimal=1,
+    )
 
 
 def test_single_fit_neutron_pd_tof_ncaf() -> None:
     # Set sample model
-    model = SampleModel('ncaf')
+    model = SampleModelFactory.create(name='ncaf')
     model.space_group.name_h_m = 'I 21 3'
     model.space_group.it_coordinate_system_code = '1'
     model.cell.length_a = 10.250256
-    model.atom_sites.add('Ca', 'Ca', 0.4661, 0.0, 0.25, wyckoff_letter='b', b_iso=0.9)
-    model.atom_sites.add('Al', 'Al', 0.25171, 0.25171, 0.25171, wyckoff_letter='a', b_iso=0.66)
-    model.atom_sites.add('Na', 'Na', 0.08481, 0.08481, 0.08481, wyckoff_letter='a', b_iso=1.9)
-    model.atom_sites.add('F1', 'F', 0.1375, 0.3053, 0.1195, wyckoff_letter='c', b_iso=0.9)
-    model.atom_sites.add('F2', 'F', 0.3626, 0.3634, 0.1867, wyckoff_letter='c', b_iso=1.28)
-    model.atom_sites.add('F3', 'F', 0.4612, 0.4612, 0.4612, wyckoff_letter='a', b_iso=0.79)
+    model.atom_sites.add(
+        label='Ca',
+        type_symbol='Ca',
+        fract_x=0.4661,
+        fract_y=0.0,
+        fract_z=0.25,
+        wyckoff_letter='b',
+        b_iso=0.9,
+    )
+    model.atom_sites.add(
+        label='Al',
+        type_symbol='Al',
+        fract_x=0.25171,
+        fract_y=0.25171,
+        fract_z=0.25171,
+        wyckoff_letter='a',
+        b_iso=0.66,
+    )
+    model.atom_sites.add(
+        label='Na',
+        type_symbol='Na',
+        fract_x=0.08481,
+        fract_y=0.08481,
+        fract_z=0.08481,
+        wyckoff_letter='a',
+        b_iso=1.9,
+    )
+    model.atom_sites.add(
+        label='F1',
+        type_symbol='F',
+        fract_x=0.1375,
+        fract_y=0.3053,
+        fract_z=0.1195,
+        wyckoff_letter='c',
+        b_iso=0.9,
+    )
+    model.atom_sites.add(
+        label='F2',
+        type_symbol='F',
+        fract_x=0.3626,
+        fract_y=0.3634,
+        fract_z=0.1867,
+        wyckoff_letter='c',
+        b_iso=1.28,
+    )
+    model.atom_sites.add(
+        label='F3',
+        type_symbol='F',
+        fract_x=0.4612,
+        fract_y=0.4612,
+        fract_z=0.4612,
+        wyckoff_letter='a',
+        b_iso=0.79,
+    )
 
     # Set experiment
-    data_file = 'wish_ncaf.xye'
-    download_from_repository(data_file, destination=TEMP_DIR)
-    expt = Experiment(
+    data_path = download_data(id=9, destination=TEMP_DIR)
+    expt = ExperimentFactory.create(
         name='wish',
-        data_path=os.path.join(TEMP_DIR, data_file),
+        data_path=data_path,
         beam_mode='time-of-flight',
     )
+    expt.excluded_regions.add(id='1', start=0, end=9000)
+    expt.excluded_regions.add(id='2', start=100010, end=200000)
     expt.instrument.setup_twotheta_bank = 152.827
     expt.instrument.calib_d_to_tof_offset = -13.7123
     expt.instrument.calib_d_to_tof_linear = 20773.1
@@ -101,7 +163,7 @@ def test_single_fit_neutron_pd_tof_ncaf() -> None:
     expt.peak.broad_mix_beta_1 = 0.0099
     expt.peak.asym_alpha_0 = -0.009
     expt.peak.asym_alpha_1 = 0.1085
-    expt.linked_phases.add('ncaf', scale=1.0928)
+    expt.linked_phases.add(id='ncaf', scale=1.0928)
     for x, y in [
         (9162, 465),
         (11136, 593),
@@ -132,12 +194,12 @@ def test_single_fit_neutron_pd_tof_ncaf() -> None:
         (91958, 268),
         (102712, 262),
     ]:
-        expt.background.add(x, y)
+        expt.background.add(id=str(x), x=x, y=y)
 
     # Create project
     project = Project()
-    project.sample_models.add(model)
-    project.experiments.add(expt)
+    project.sample_models.add(sample_model=model)
+    project.experiments.add(experiment=expt)
 
     # Prepare for fitting
     project.analysis.current_calculator = 'cryspy'
@@ -154,7 +216,11 @@ def test_single_fit_neutron_pd_tof_ncaf() -> None:
     project.analysis.fit()
 
     # Compare fit quality
-    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=15.25, decimal=1)
+    assert_almost_equal(
+        project.analysis.fit_results.reduced_chi_square,
+        desired=15.25,
+        decimal=1,
+    )
 
 
 if __name__ == '__main__':
diff --git a/tests/integration/scipp-analysis/dream/test_scipp-cif.py b/tests/integration/scipp-analysis/dream/test_scipp-cif.py
new file mode 100644
index 00000000..144fff62
--- /dev/null
+++ b/tests/integration/scipp-analysis/dream/test_scipp-cif.py
@@ -0,0 +1,74 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+from numpy.testing import assert_array_equal
+from pooch import retrieve
+
+import easydiffraction as ed
+
+
+def test_read_tof_cif_from_scipp() -> None:
+    """
+    Test reading a CIF file from scipp
+    :return: None
+    """
+
+    # Retrieve the CIF file
+    file_path = retrieve(
+        url="https://pub-6c25ef91903d4301a3338bd53b370098.r2.dev/dream_reduced.cif",
+        known_hash=None,
+    )
+
+    # Add experiment type
+    expt_type = {
+        '_expt_type.sample_form': 'powder',
+        '_expt_type.beam_mode': 'time-of-flight',
+        '_expt_type.radiation_probe': 'neutron',
+        '_expt_type.scattering_type': 'bragg',
+    }
+    with open(file_path) as f:
+        content = f.read()
+    for key, value in expt_type.items():
+        if key not in content:
+            with open(file_path, "a") as f:
+                f.write(f"{key} {value}\n")
+
+    # Create project
+    proj = ed.Project()
+
+    # Add experiment from CIF file
+    proj.experiments.add(cif_path=file_path)
+
+    # Check the experiment names
+    assert proj.experiments.names == ['reduced_tof']
+
+    # Alias for easier access
+    experiment = proj.experiments['reduced_tof']
+
+    # Check data size
+    assert experiment.data.x.size == 200
+
+    # Check some x data points
+    assert_array_equal(
+        experiment.data.x[:4],
+        np.array([
+            57.526660478722604,
+            172.57998143616783,
+            287.633302393613,
+            402.68662335105824,
+        ])
+    )
+    assert_array_equal(
+        experiment.data.x[-2:],
+        np.array([
+            22838.084210052875,
+            22953.137531010318,
+        ])
+    )
+
+    # Check some measured y data points
+    #assert experiment.data.meas[93] == 2.0
+
+    # Check some uncertainty data points
+    #assert experiment.data.meas_su[93] == 1.4142135623730951
diff --git a/tests/unit/analysis/calculators/test_calculator_base.py b/tests/unit/analysis/calculators/test_calculator_base.py
deleted file mode 100644
index 7c9df501..00000000
--- a/tests/unit/analysis/calculators/test_calculator_base.py
+++ /dev/null
@@ -1,83 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.analysis.calculators.calculator_base import CalculatorBase
-
-
-# Mock subclass of CalculatorBase to test its concrete methods
-class MockCalculator(CalculatorBase):
-    @property
-    def name(self):
-        return 'MockCalculator'
-
-    @property
-    def engine_imported(self):
-        return True
-
-    def calculate_structure_factors(self, sample_model, experiment):
-        return np.array([1.0, 2.0, 3.0])
-
-    def _calculate_single_model_pattern(self, sample_model, experiment, called_by_minimizer):
-        return np.array([1.0, 2.0, 3.0])
-
-
-@pytest.fixture
-def mock_sample_models():
-    sample_models = MagicMock()
-    sample_models.get_all_params.return_value = {'param1': 1, 'param2': 2}
-    sample_models.get_ids.return_value = ['phase1', 'phase2']
-    sample_models.__getitem__.side_effect = lambda key: MagicMock(apply_symmetry_constraints=MagicMock())
-    return sample_models
-
-
-@pytest.fixture
-def mock_experiment():
-    experiment = MagicMock()
-    experiment.datastore.x = np.array([1.0, 2.0, 3.0])
-    experiment.datastore.bkg = None
-    experiment.datastore.calc = None
-    experiment.linked_phases = [
-        MagicMock(_entry_id='phase1', scale=MagicMock(value=2.0)),
-        MagicMock(_entry_id='phase2', scale=MagicMock(value=1.5)),
-    ]
-    experiment.background.calculate.return_value = np.array([0.1, 0.2, 0.3])
-    return experiment
-
-
-@patch('easydiffraction.core.singletons.ConstraintsHandler.get')
-def test_calculate_pattern(mock_constraints_handler, mock_sample_models, mock_experiment):
-    mock_constraints_handler.return_value.apply = MagicMock()
-
-    calculator = MockCalculator()
-    calculator.calculate_pattern(mock_sample_models, mock_experiment)
-    result = mock_experiment.datastore.calc
-
-    # Assertions
-    assert np.allclose(result, np.array([3.6, 7.2, 10.8]))
-    mock_constraints_handler.return_value.apply.assert_called_once_with()
-    assert mock_experiment.datastore.bkg is not None
-    assert mock_experiment.datastore.calc is not None
-
-
-def test_get_valid_linked_phases(mock_sample_models, mock_experiment):
-    calculator = MockCalculator()
-
-    valid_phases = calculator._get_valid_linked_phases(mock_sample_models, mock_experiment)
-
-    # Assertions
-    assert len(valid_phases) == 2
-    assert valid_phases[0]._entry_id == 'phase1'
-    assert valid_phases[1]._entry_id == 'phase2'
-
-
-def test_calculate_structure_factors(mock_sample_models, mock_experiment):
-    calculator = MockCalculator()
-
-    # Mock the method's behavior if necessary
-    result = calculator.calculate_structure_factors(mock_sample_models, mock_experiment)
-
-    # Assertions
-    assert np.allclose(result, np.array([1.0, 2.0, 3.0]))
diff --git a/tests/unit/analysis/calculators/test_calculator_cryspy.py b/tests/unit/analysis/calculators/test_calculator_cryspy.py
deleted file mode 100644
index 1d611854..00000000
--- a/tests/unit/analysis/calculators/test_calculator_cryspy.py
+++ /dev/null
@@ -1,103 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.analysis.calculators.calculator_cryspy import CryspyCalculator
-
-
-@pytest.fixture
-def mock_sample_model():
-    sample_model = MagicMock()
-    sample_model.name = 'sample1'
-    sample_model.cell.length_a.value = 1.0
-    sample_model.cell.length_b.value = 2.0
-    sample_model.cell.length_c.value = 3.0
-    sample_model.cell.angle_alpha.value = 90.0
-    sample_model.cell.angle_beta.value = 90.0
-    sample_model.cell.angle_gamma.value = 90.0
-    sample_model.atom_sites = [
-        MagicMock(
-            fract_x=MagicMock(value=0.1),
-            fract_y=MagicMock(value=0.2),
-            fract_z=MagicMock(value=0.3),
-            occupancy=MagicMock(value=1.0),
-            b_iso=MagicMock(value=0.5),
-        )
-    ]
-    return sample_model
-
-
-@pytest.fixture
-def mock_experiment():
-    experiment = MagicMock()
-    experiment.name = 'experiment1'
-    experiment.type.beam_mode.value = 'constant wavelength'
-    experiment.datastore.x = np.array([1.0, 2.0, 3.0])
-    experiment.datastore.meas = np.array([10.0, 20.0, 30.0])
-    experiment.datastore.meas_su = np.array([0.1, 0.2, 0.3])
-    experiment.instrument.calib_twotheta_offset.value = 0.0
-    experiment.instrument.setup_wavelength.value = 1.54
-    experiment.peak.broad_gauss_u.value = 0.1
-    experiment.peak.broad_gauss_v.value = 0.2
-    experiment.peak.broad_gauss_w.value = 0.3
-    experiment.peak.broad_lorentz_x.value = 0.4
-    experiment.peak.broad_lorentz_y.value = 0.5
-    return experiment
-
-
-@patch('easydiffraction.analysis.calculators.calculator_cryspy.str_to_globaln')
-def test_recreate_cryspy_obj(mock_str_to_globaln, mock_sample_model, mock_experiment):
-    mock_str_to_globaln.return_value = MagicMock(add_items=MagicMock())
-
-    calculator = CryspyCalculator()
-    cryspy_obj = calculator._recreate_cryspy_obj(mock_sample_model, mock_experiment)
-
-    # Assertions
-    mock_str_to_globaln.assert_called()
-    assert cryspy_obj.add_items.called
-
-
-@patch('easydiffraction.analysis.calculators.calculator_cryspy.rhochi_calc_chi_sq_by_dictionary')
-def test_calculate_single_model_pattern(mock_rhochi_calc, mock_sample_model, mock_experiment):
-    mock_rhochi_calc.return_value = None
-
-    calculator = CryspyCalculator()
-    calculator._cryspy_dicts = {'experiment1': {'mock_key': 'mock_value'}}
-
-    result = calculator._calculate_single_model_pattern(mock_sample_model, mock_experiment, called_by_minimizer=False)
-
-    # Assertions
-    assert isinstance(result, np.ndarray) or result == []
-    mock_rhochi_calc.assert_called()
-
-
-def test_recreate_cryspy_dict(mock_sample_model, mock_experiment):
-    calculator = CryspyCalculator()
-    calculator._cryspy_dicts = {
-        'sample1_experiment1': {
-            'pd_experiment1': {
-                'offset_ttheta': [0.1],
-                'wavelength': [1.54],
-                'resolution_parameters': [0.1, 0.2, 0.3, 0.4, 0.5],
-            },
-            'crystal_sample1': {
-                'unit_cell_parameters': [0, 0, 0, 0, 0, 0],
-                'atom_fract_xyz': [[0], [0], [0]],
-                'atom_occupancy': [0],
-                'atom_b_iso': [0],
-            },
-        }
-    }
-
-    cryspy_dict = calculator._recreate_cryspy_dict(mock_sample_model, mock_experiment)
-
-    # Assertions
-    assert cryspy_dict['crystal_sample1']['unit_cell_parameters'][:3] == [1.0, 2.0, 3.0]
-    assert cryspy_dict['crystal_sample1']['atom_fract_xyz'][0][0] == 0.1
-    assert cryspy_dict['crystal_sample1']['atom_occupancy'][0] == 1.0
-    assert cryspy_dict['crystal_sample1']['atom_b_iso'][0] == 0.5
-    assert cryspy_dict['pd_experiment1']['offset_ttheta'][0] == 0.0
-    assert cryspy_dict['pd_experiment1']['wavelength'][0] == 1.54
-    assert cryspy_dict['pd_experiment1']['resolution_parameters'] == [0.1, 0.2, 0.3, 0.4, 0.5]
diff --git a/tests/unit/analysis/calculators/test_calculator_factory.py b/tests/unit/analysis/calculators/test_calculator_factory.py
deleted file mode 100644
index 2a35d0b1..00000000
--- a/tests/unit/analysis/calculators/test_calculator_factory.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from unittest.mock import patch
-
-import pytest
-
-from easydiffraction.analysis.calculators.calculator_crysfml import CrysfmlCalculator
-from easydiffraction.analysis.calculators.calculator_cryspy import CryspyCalculator
-from easydiffraction.analysis.calculators.calculator_factory import CalculatorFactory
-from easydiffraction.analysis.calculators.calculator_pdffit import PdffitCalculator
-from easydiffraction.utils.formatting import paragraph
-
-
-@pytest.fixture
-def mock_calculators():
-    with (
-        patch.object(CrysfmlCalculator, 'engine_imported', True),
-        patch.object(CryspyCalculator, 'engine_imported', True),
-        patch.object(PdffitCalculator, 'engine_imported', False),
-    ):
-        yield
-
-
-def test_supported_calculators(mock_calculators):
-    supported = CalculatorFactory._supported_calculators()
-
-    # Assertions
-    assert 'crysfml' in supported
-    assert 'cryspy' in supported
-    assert 'pdffit' not in supported  # Engine not imported
-
-
-def test_list_supported_calculators(mock_calculators):
-    supported_list = CalculatorFactory.list_supported_calculators()
-
-    # Assertions
-    assert 'crysfml' in supported_list
-    assert 'cryspy' in supported_list
-    assert 'pdffit' not in supported_list  # Engine not imported
-
-
-@patch('builtins.print')
-def test_show_supported_calculators(mock_print, mock_calculators):
-    CalculatorFactory.show_supported_calculators()
-
-    # Assertions
-    mock_print.assert_any_call(paragraph('Supported calculators'))
-    assert any('CrysFML library for crystallographic calculations' in call.args[0] for call in mock_print.call_args_list)
-    assert any('CrysPy library for crystallographic calculations' in call.args[0] for call in mock_print.call_args_list)
-
-
-def test_create_calculator(mock_calculators):
-    crysfml_calculator = CalculatorFactory.create_calculator('crysfml')
-    cryspy_calculator = CalculatorFactory.create_calculator('cryspy')
-    pdffit_calculator = CalculatorFactory.create_calculator('pdffit')  # Not supported
-
-    # Assertions
-    assert isinstance(crysfml_calculator, CrysfmlCalculator)
-    assert isinstance(cryspy_calculator, CryspyCalculator)
-    assert pdffit_calculator is None
-
-
-def test_create_calculator_unknown(mock_calculators):
-    unknown_calculator = CalculatorFactory.create_calculator('unknown')
-
-    # Assertions
-    assert unknown_calculator is None
diff --git a/tests/unit/analysis/collections/test_joint_fit_experiment.py b/tests/unit/analysis/collections/test_joint_fit_experiment.py
deleted file mode 100644
index bb6d9d02..00000000
--- a/tests/unit/analysis/collections/test_joint_fit_experiment.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from easydiffraction.analysis.collections.joint_fit_experiments import JointFitExperiment
-
-# filepath: src/easydiffraction/analysis/collections/test_joint_fit_experiments.py
-
-
-def test_joint_fit_experiment_initialization():
-    # Test initialization of JointFitExperiment
-    expt = JointFitExperiment(id='exp1', weight=1.5)
-    assert expt.id.value == 'exp1'
-    assert expt.id.name == 'id'
-    assert expt.id.cif_name == 'id'
-    assert expt.weight.value == 1.5
-    assert expt.weight.name == 'weight'
-    assert expt.weight.cif_name == 'weight'
-
-
-def test_joint_fit_experiment_properties():
-    # Test properties of JointFitExperiment
-    expt = JointFitExperiment(id='exp2', weight=2.0)
-    assert expt.cif_category_key == 'joint_fit_experiment'
-    assert expt.category_key == 'joint_fit_experiment'
-    assert expt._entry_id == 'exp2'
diff --git a/tests/unit/analysis/minimizers/test_fitting_progress_tracker.py b/tests/unit/analysis/minimizers/test_fitting_progress_tracker.py
deleted file mode 100644
index c82f6e49..00000000
--- a/tests/unit/analysis/minimizers/test_fitting_progress_tracker.py
+++ /dev/null
@@ -1,98 +0,0 @@
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.analysis.fitting.progress_tracker import FittingProgressTracker
-from easydiffraction.analysis.fitting.progress_tracker import format_cell
-
-
-def test_format_cell():
-    # Test center alignment
-    assert format_cell('test', width=10, align='center') == '   test   '
-    # Test left alignment
-    assert format_cell('test', width=10, align='left') == 'test      '
-    # Test right alignment
-    assert format_cell('test', width=10, align='right') == '      test'
-    # Test default alignment (center)
-    assert format_cell('test', width=10) == '   test   '
-    # Test invalid alignment
-    assert format_cell('test', width=10, align='invalid') == 'test'
-
-
-@pytest.fixture
-def tracker():
-    return FittingProgressTracker()
-
-
-@patch('builtins.print')
-def test_start_tracking(mock_print, tracker):
-    tracker.start_tracking('MockMinimizer')
-
-    # Assertions
-    mock_print.assert_any_call("🚀 Starting fit process with 'MockMinimizer'...")
-    mock_print.assert_any_call('📈 Goodness-of-fit (reduced χ²) change:')
-    assert mock_print.call_count > 2  # Ensure headers and borders are printed
-
-
-@patch('builtins.print')
-def test_add_tracking_info(mock_print, tracker):
-    tracker.add_tracking_info([1, '9.0', '10% ↓'])
-
-    # Assertions
-    mock_print.assert_called_once()
-    assert '│        1        │       9.0       │      10% ↓      │' in mock_print.call_args[0][0]
-
-
-@patch('builtins.print')
-def test_finish_tracking(mock_print, tracker):
-    tracker._last_iteration = 5
-    tracker._last_chi2 = 1.23
-    tracker._best_chi2 = 1.23
-    tracker._best_iteration = 5
-
-    tracker.finish_tracking()
-
-    # Assertions
-    mock_print.assert_any_call('🏆 Best goodness-of-fit (reduced χ²) is 1.23 at iteration 5')
-    mock_print.assert_any_call('✅ Fitting complete.')
-
-
-def test_reset(tracker):
-    tracker._iteration = 5
-    tracker._previous_chi2 = 1.23
-    tracker.reset()
-
-    # Assertions
-    assert tracker._iteration == 0
-    assert tracker._previous_chi2 is None
-
-
-@patch('easydiffraction.analysis.fitting.metrics.calculate_reduced_chi_square', return_value=1.23)
-@patch('builtins.print')
-def test_track(mock_print, mock_calculate_chi2, tracker):
-    residuals = np.array([1.1, 2.1, 3.1, 4.1, 5.1])
-    parameters = [1.0, 2.0, 3.0]
-
-    tracker.track(residuals, parameters)
-
-    # Assertions
-    # mock_calculate_chi2.assert_called_once_with(residuals, len(parameters))
-    assert tracker._iteration == 1
-    assert tracker._previous_chi2 == 29.025
-    assert tracker._best_chi2 == 29.025
-    assert tracker._best_iteration == 1
-    mock_print.assert_called()
-
-
-def test_start_timer(tracker):
-    with patch('time.perf_counter', return_value=100.0):
-        tracker.start_timer()
-        assert tracker._start_time == 100.0
-
-
-def test_stop_timer(tracker):
-    with patch('time.perf_counter', side_effect=[100.0, 105.0]):
-        tracker.start_timer()
-        tracker.stop_timer()
-        assert tracker._fitting_time == 5.0
diff --git a/tests/unit/analysis/minimizers/test_minimizer_base.py b/tests/unit/analysis/minimizers/test_minimizer_base.py
deleted file mode 100644
index be613c05..00000000
--- a/tests/unit/analysis/minimizers/test_minimizer_base.py
+++ /dev/null
@@ -1,116 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import pytest
-
-from easydiffraction.analysis.fitting.results import FitResults
-from easydiffraction.analysis.minimizers.minimizer_base import MinimizerBase
-
-
-# Mock subclass of MinimizerBase to test its methods
-class MockMinimizer(MinimizerBase):
-    def _prepare_solver_args(self, parameters):
-        return {'mock_arg': 'mock_value'}
-
-    def _run_solver(self, objective_function, **engine_parameters):
-        return {'success': True, 'raw_result': 'mock_result'}
-
-    def _sync_result_to_parameters(self, raw_result, parameters):
-        for param in parameters:
-            param.value = 1.0  # Mock synchronization
-
-    def _check_success(self, raw_result):
-        return raw_result.get('success', False)
-
-    def _finalize_fit(self, parameters, raw_result):
-        return FitResults(
-            success=raw_result.get('success', False),
-            parameters=parameters,
-            chi_square=raw_result.get('chi_square', 0.0),
-            reduced_chi_square=raw_result.get('reduced_chi_square', 0.0),
-            message=raw_result.get('message', ''),
-            iterations=raw_result.get('iterations', 0),
-            engine_result=raw_result.get('raw_result', None),
-            starting_parameters=[p.start_value for p in parameters],
-            fitting_time=raw_result.get('fitting_time', 0.0),
-        )
-
-
-@pytest.fixture
-def mock_minimizer():
-    return MockMinimizer(name='MockMinimizer', method='mock_method', max_iterations=100)
-
-
-@pytest.fixture
-def mock_parameters():
-    param1 = MagicMock(name='param1', value=None, start_value=0.5, uncertainty=None)
-    param2 = MagicMock(name='param2', value=None, start_value=1.0, uncertainty=None)
-    return [param1, param2]
-
-
-@pytest.fixture
-def mock_objective_function():
-    return MagicMock(return_value=[1.0, 2.0, 3.0])
-
-
-def test_prepare_solver_args(mock_minimizer, mock_parameters):
-    solver_args = mock_minimizer._prepare_solver_args(mock_parameters)
-    assert solver_args == {'mock_arg': 'mock_value'}
-
-
-def test_run_solver(mock_minimizer, mock_objective_function):
-    raw_result = mock_minimizer._run_solver(mock_objective_function, mock_arg='mock_value')
-    assert raw_result == {'success': True, 'raw_result': 'mock_result'}
-
-
-def test_sync_result_to_parameters(mock_minimizer, mock_parameters):
-    raw_result = {'success': True}
-    mock_minimizer._sync_result_to_parameters(raw_result, mock_parameters)
-
-    # Assertions
-    for param in mock_parameters:
-        assert param.value == 1.0
-
-
-def test_check_success(mock_minimizer):
-    raw_result = {'success': True}
-    assert mock_minimizer._check_success(raw_result) is True
-
-    raw_result = {'success': False}
-    assert mock_minimizer._check_success(raw_result) is False
-
-
-def test_finalize_fit(mock_minimizer, mock_parameters):
-    raw_result = {'success': True}
-    result = mock_minimizer._finalize_fit(mock_parameters, raw_result)
-
-    # Assertions
-    assert isinstance(result, FitResults)
-    assert result.success is True
-    assert result.parameters == mock_parameters
-
-
-@patch('easydiffraction.analysis.fitting.progress_tracker.FittingProgressTracker')
-def test_fit(mock_tracker, mock_minimizer, mock_parameters, mock_objective_function):
-    mock_minimizer.tracker.finish_tracking = MagicMock()
-    result = mock_minimizer.fit(mock_parameters, mock_objective_function)
-
-    # Assertions
-    assert isinstance(result, FitResults)
-    assert result.success is True
-
-
-def test_create_objective_function(mock_minimizer):
-    parameters = [MagicMock()]
-    sample_models = MagicMock()
-    experiments = MagicMock()
-    calculator = MagicMock()
-
-    objective_function = mock_minimizer._create_objective_function(parameters, sample_models, experiments, calculator)
-
-    # Assertions
-    assert callable(objective_function)
-    with patch.object(mock_minimizer, '_objective_function', return_value=[1.0, 2.0, 3.0]) as mock_objective:
-        residuals = objective_function({'param1': 1.0})
-        mock_objective.assert_called_once_with({'param1': 1.0}, parameters, sample_models, experiments, calculator)
-        assert residuals == [1.0, 2.0, 3.0]
diff --git a/tests/unit/analysis/minimizers/test_minimizer_dfols.py b/tests/unit/analysis/minimizers/test_minimizer_dfols.py
deleted file mode 100644
index db26f0bc..00000000
--- a/tests/unit/analysis/minimizers/test_minimizer_dfols.py
+++ /dev/null
@@ -1,79 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.analysis.minimizers.minimizer_dfols import DfolsMinimizer
-
-
-@pytest.fixture
-def mock_parameters():
-    param1 = MagicMock(name='param1', value=1.0, min=0.0, max=2.0, uncertainty=None)
-    param2 = MagicMock(name='param2', value=2.0, min=1.0, max=3.0, uncertainty=None)
-    return [param1, param2]
-
-
-@pytest.fixture
-def mock_objective_function():
-    return MagicMock(return_value=np.array([1.0, 2.0, 3.0]))
-
-
-@pytest.fixture
-def dfols_minimizer():
-    return DfolsMinimizer(name='dfols', max_iterations=100)
-
-
-def test_prepare_solver_args(dfols_minimizer, mock_parameters):
-    solver_args = dfols_minimizer._prepare_solver_args(mock_parameters)
-
-    # Assertions
-    assert np.allclose(solver_args['x0'], [1.0, 2.0])
-    assert np.allclose(solver_args['bounds'][0], [0.0, 1.0])  # Lower bounds
-    assert np.allclose(solver_args['bounds'][1], [2.0, 3.0])  # Upper bounds
-
-
-@patch('easydiffraction.analysis.minimizers.minimizer_dfols.solve')
-def test_run_solver(mock_solve, dfols_minimizer, mock_objective_function):
-    mock_solve.return_value = MagicMock(x=np.array([1.5, 2.5]), flag=0)
-
-    solver_args = {'x0': np.array([1.0, 2.0]), 'bounds': (np.array([0.0, 1.0]), np.array([2.0, 3.0]))}
-    raw_result = dfols_minimizer._run_solver(mock_objective_function, **solver_args)
-
-    # Assertions
-    mock_solve.assert_called_once_with(
-        mock_objective_function, x0=solver_args['x0'], bounds=solver_args['bounds'], maxfun=dfols_minimizer.max_iterations
-    )
-    assert np.allclose(raw_result.x, [1.5, 2.5])
-
-
-def test_sync_result_to_parameters(dfols_minimizer, mock_parameters):
-    raw_result = MagicMock(x=np.array([1.5, 2.5]))
-
-    dfols_minimizer._sync_result_to_parameters(mock_parameters, raw_result)
-
-    # Assertions
-    assert mock_parameters[0].value == 1.5
-    assert mock_parameters[1].value == 2.5
-    assert mock_parameters[0].uncertainty is None
-    assert mock_parameters[1].uncertainty is None
-
-
-def test_check_success(dfols_minimizer):
-    raw_result = MagicMock(flag=0, EXIT_SUCCESS=0)
-    assert dfols_minimizer._check_success(raw_result) is True
-
-    raw_result = MagicMock(flag=1, EXIT_SUCCESS=0)
-    assert dfols_minimizer._check_success(raw_result) is False
-
-
-@patch('easydiffraction.analysis.minimizers.minimizer_dfols.solve')
-def test_fit(mock_solve, dfols_minimizer, mock_parameters, mock_objective_function):
-    mock_solve.return_value = MagicMock(x=np.array([1.5, 2.5]), flag=0)
-    dfols_minimizer.tracker.finish_tracking = MagicMock()
-
-    result = dfols_minimizer.fit(mock_parameters, mock_objective_function)
-
-    # Assertions
-    assert np.allclose([p.value for p in result.parameters], [1.5, 2.5])
-    assert result.iterations == 0  # DFO-LS doesn't provide iteration count by default
diff --git a/tests/unit/analysis/minimizers/test_minimizer_factory.py b/tests/unit/analysis/minimizers/test_minimizer_factory.py
deleted file mode 100644
index a0d5caed..00000000
--- a/tests/unit/analysis/minimizers/test_minimizer_factory.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from unittest.mock import patch
-
-import pytest
-
-from easydiffraction.analysis.minimizers.minimizer_dfols import DfolsMinimizer
-from easydiffraction.analysis.minimizers.minimizer_factory import MinimizerFactory
-from easydiffraction.analysis.minimizers.minimizer_lmfit import LmfitMinimizer
-
-
-def test_list_available_minimizers():
-    minimizers = MinimizerFactory.list_available_minimizers()
-
-    # Assertions
-    assert isinstance(minimizers, list)
-    assert 'lmfit' in minimizers
-    assert 'dfols' in minimizers
-
-
-@patch('builtins.print')
-def test_show_available_minimizers(mock_print):
-    MinimizerFactory.show_available_minimizers()
-
-    # Assertions
-    # mock_print.assert_any_call("Available minimizers")
-    assert any(
-        'LMFIT library using the default Levenberg-Marquardt least squares method' in call.args[0]
-        for call in mock_print.call_args_list
-    )
-    assert any(
-        'DFO-LS library for derivative-free least-squares optimization' in call.args[0] for call in mock_print.call_args_list
-    )
-
-
-def test_create_minimizer():
-    # Test creating an LmfitMinimizer
-    minimizer = MinimizerFactory.create_minimizer('lmfit')
-    assert isinstance(minimizer, LmfitMinimizer)
-    assert minimizer.method == 'leastsq'
-
-    # Test creating a DfolsMinimizer
-    minimizer = MinimizerFactory.create_minimizer('dfols')
-    assert isinstance(minimizer, DfolsMinimizer)
-    assert minimizer.method is None
-
-    # Test invalid minimizer
-    with pytest.raises(ValueError, match="Unknown minimizer 'invalid'.*"):
-        MinimizerFactory.create_minimizer('invalid')
-
-
-def test_register_minimizer():
-    class MockMinimizer:
-        def __init__(self, method=None):
-            self.method = method
-
-    MinimizerFactory.register_minimizer(
-        name='mock_minimizer', minimizer_cls=MockMinimizer, method='mock_method', description='Mock minimizer for testing'
-    )
-
-    # Assertions
-    minimizers = MinimizerFactory.list_available_minimizers()
-    assert 'mock_minimizer' in minimizers
-
-    # Test creating the registered minimizer
-    minimizer = MinimizerFactory.create_minimizer('mock_minimizer')
-    assert isinstance(minimizer, MockMinimizer)
-    assert minimizer.method == 'mock_method'
diff --git a/tests/unit/analysis/minimizers/test_minimizer_lmfit.py b/tests/unit/analysis/minimizers/test_minimizer_lmfit.py
deleted file mode 100644
index 5a0e5938..00000000
--- a/tests/unit/analysis/minimizers/test_minimizer_lmfit.py
+++ /dev/null
@@ -1,98 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import lmfit
-import pytest
-
-from easydiffraction.analysis.minimizers.minimizer_lmfit import LmfitMinimizer
-from easydiffraction.core.objects import Parameter
-
-
-@pytest.fixture
-def mock_parameters():
-    param1 = Parameter(name='param1', cif_name='param1', value=1.0, free=True, min_value=0.0, max_value=2.0, uncertainty=None)
-    param2 = Parameter(name='param2', cif_name='param2', value=2.0, free=False, min_value=1.0, max_value=3.0, uncertainty=None)
-    return [param1, param2]
-
-
-@pytest.fixture
-def mock_objective_function():
-    return MagicMock(return_value=[1.0, 2.0, 3.0])
-
-
-@pytest.fixture
-def lmfit_minimizer():
-    return LmfitMinimizer(name='lmfit', method='leastsq', max_iterations=100)
-
-
-def test_prepare_solver_args(lmfit_minimizer, mock_parameters):
-    solver_args = lmfit_minimizer._prepare_solver_args(mock_parameters)
-
-    # Assertions
-    assert isinstance(solver_args['engine_parameters'], lmfit.Parameters)
-    assert 'None__param1' in solver_args['engine_parameters']
-    assert 'None__param2' in solver_args['engine_parameters']
-    assert solver_args['engine_parameters']['None__param1'].value == 1.0
-    assert solver_args['engine_parameters']['None__param1'].min == 0.0
-    assert solver_args['engine_parameters']['None__param1'].max == 2.0
-    assert solver_args['engine_parameters']['None__param1'].vary is True
-    assert solver_args['engine_parameters']['None__param2'].value == 2.0
-    assert solver_args['engine_parameters']['None__param2'].vary is False
-
-
-@patch('easydiffraction.analysis.minimizers.minimizer_lmfit.lmfit.minimize')
-def test_run_solver(mock_minimize, lmfit_minimizer, mock_objective_function, mock_parameters):
-    mock_minimize.return_value = MagicMock(params={'param1': MagicMock(value=1.5), 'param2': MagicMock(value=2.5)})
-
-    solver_args = lmfit_minimizer._prepare_solver_args(mock_parameters)
-    raw_result = lmfit_minimizer._run_solver(mock_objective_function, **solver_args)
-
-    # Assertions
-    mock_minimize.assert_called_once_with(
-        mock_objective_function,
-        params=solver_args['engine_parameters'],
-        method='leastsq',
-        nan_policy='propagate',
-        max_nfev=lmfit_minimizer.max_iterations,
-    )
-    assert raw_result.params['param1'].value == 1.5
-    assert raw_result.params['param2'].value == 2.5
-
-
-def test_sync_result_to_parameters(lmfit_minimizer, mock_parameters):
-    raw_result = MagicMock(
-        params={'None__param1': MagicMock(value=1.5, stderr=0.1), 'None__param2': MagicMock(value=2.5, stderr=0.2)}
-    )
-
-    lmfit_minimizer._sync_result_to_parameters(mock_parameters, raw_result)
-
-    # Assertions
-    assert mock_parameters[0].value == 1.5
-    assert mock_parameters[0].uncertainty == 0.1
-    assert mock_parameters[1].value == 2.5
-    assert mock_parameters[1].uncertainty == 0.2
-
-
-def test_check_success(lmfit_minimizer):
-    raw_result = MagicMock(success=True)
-    assert lmfit_minimizer._check_success(raw_result) is True
-
-    raw_result = MagicMock(success=False)
-    assert lmfit_minimizer._check_success(raw_result) is False
-
-
-@patch('easydiffraction.analysis.minimizers.minimizer_lmfit.lmfit.minimize')
-def test_fit(mock_minimize, lmfit_minimizer, mock_parameters, mock_objective_function):
-    mock_minimize.return_value = MagicMock(
-        params={'None__param1': MagicMock(value=1.5, stderr=0.1), 'None__param2': MagicMock(value=2.5, stderr=0.2)},
-        success=True,
-    )
-    lmfit_minimizer.tracker.finish_tracking = MagicMock()
-    result = lmfit_minimizer.fit(mock_parameters, mock_objective_function)
-
-    # Assertions
-    assert result.success is True
-    assert result.parameters[0].value == 1.5
-    assert result.parameters[0].uncertainty == 0.1
-    assert result.parameters[1].value == 2.5
-    assert result.parameters[1].uncertainty == 0.2
diff --git a/tests/unit/analysis/test_analysis.py b/tests/unit/analysis/test_analysis.py
deleted file mode 100644
index 245a57b0..00000000
--- a/tests/unit/analysis/test_analysis.py
+++ /dev/null
@@ -1,157 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import pytest
-
-from easydiffraction.analysis.analysis import Analysis
-
-
-@pytest.fixture
-def mock_project():
-    project = MagicMock()
-    project.sample_models.get_all_params.return_value = [
-        MagicMock(
-            datablock_id='block1',
-            category_key='cat1',
-            collection_entry_id='entry1',
-            name='param1',
-            value=1.0,
-            units='unit1',
-            free=True,
-            min=0.0,
-            max=2.0,
-            uncertainty=0.1,
-        )
-    ]
-    project.experiments.get_all_params.return_value = [
-        MagicMock(
-            datablock_id='block2',
-            category_key='cat2',
-            collection_entry_id='entry2',
-            name='param2',
-            value=2.0,
-            units='unit2',
-            free=False,
-            min=1.0,
-            max=3.0,
-            uncertainty=0.2,
-        )
-    ]
-    project.sample_models.get_fittable_params.return_value = project.sample_models.get_all_params()
-    project.experiments.get_fittable_params.return_value = project.experiments.get_all_params()
-    project.sample_models.get_free_params.return_value = project.sample_models.get_all_params()
-    project.experiments.get_free_params.return_value = project.experiments.get_all_params()
-    project.experiments.ids = ['experiment1', 'experiment2']
-    project._varname = 'project'
-    return project
-
-
-@pytest.fixture
-def analysis(mock_project):
-    return Analysis(project=mock_project)
-
-
-# @patch("builtins.print")
-# def test_show_all_params(mock_print, analysis):
-#    analysis._show_params = MagicMock()
-#    analysis.show_all_params()
-#
-#    # Assertions
-#    assert('parameters for all experiments' in mock_print.call_args[0][0])
-#
-# @patch("builtins.print")
-# def test_show_fittable_params(mock_print, analysis):
-#    analysis._show_params = MagicMock()
-#    analysis.show_fittable_params()
-#
-#    # Assertions
-#    assert('Fittable parameters for all experiments' in mock_print.call_args[0][0])
-#
-# @patch("builtins.print")
-# def test_show_free_params(mock_print, analysis):
-#    analysis._show_params = MagicMock()
-#    analysis.show_free_params()
-#
-#    # Assertions
-#    assert('Free parameters for both sample models' in mock_print.call_args[0][0])
-#    # mock_print.assert_any_call("Free parameters for both sample models (🧩 data blocks) and experiments (🔬 data blocks)")
-
-
-@patch('builtins.print')
-def test_show_current_calculator(mock_print, analysis):
-    analysis.show_current_calculator()
-
-    # Assertions
-    # mock_print.assert_any_call("Current calculator")
-    mock_print.assert_any_call('cryspy')
-
-
-@patch('builtins.print')
-def test_show_current_minimizer(mock_print, analysis):
-    analysis.show_current_minimizer()
-
-    # Assertions
-    # mock_print.assert_any_call("Current minimizer")
-    mock_print.assert_any_call('lmfit (leastsq)')
-
-
-@patch('easydiffraction.analysis.calculators.calculator_factory.CalculatorFactory.create_calculator')
-@patch('builtins.print')
-def test_current_calculator_setter(mock_print, mock_create_calculator, analysis):
-    mock_create_calculator.return_value = MagicMock()
-
-    analysis.current_calculator = 'pdffit2'
-
-    # Assertions
-    mock_create_calculator.assert_called_once_with('pdffit2')
-
-
-@patch('easydiffraction.analysis.minimizers.minimizer_factory.MinimizerFactory.create_minimizer')
-@patch('builtins.print')
-def test_current_minimizer_setter(mock_print, mock_create_minimizer, analysis):
-    mock_create_minimizer.return_value = MagicMock()
-
-    analysis.current_minimizer = 'dfols'
-
-    # Assertions
-    mock_print.assert_any_call('dfols')
-
-
-@patch('builtins.print')
-def test_fit_mode_setter(mock_print, analysis):
-    analysis.fit_mode = 'joint'
-
-    # Assertions
-    assert analysis.fit_mode == 'joint'
-    mock_print.assert_any_call('joint')
-
-
-@patch('easydiffraction.analysis.minimization.DiffractionMinimizer.fit')
-@patch('builtins.print')
-def no_test_fit_single_mode(mock_print, mock_fit, analysis, mock_project):
-    analysis.fit_mode = 'single'
-    analysis.fit()
-
-    # Assertions
-    mock_fit.assert_called()
-    mock_print.assert_any_call('single')
-
-
-@patch('easydiffraction.analysis.minimization.DiffractionMinimizer.fit')
-@patch('builtins.print')
-def test_fit_joint_mode(mock_print, mock_fit, analysis, mock_project):
-    analysis.fit_mode = 'joint'
-    analysis.fit()
-
-    # Assertions
-    mock_fit.assert_called_once()
-
-
-@patch('builtins.print')
-def test_as_cif(mock_print, analysis):
-    cif_text = analysis.as_cif()
-
-    # Assertions
-    assert '_analysis.calculator_engine  cryspy' in cif_text
-    assert '_analysis.fitting_engine  "lmfit (leastsq)"' in cif_text
-    assert '_analysis.fit_mode  single' in cif_text
diff --git a/tests/unit/analysis/test_minimization.py b/tests/unit/analysis/test_minimization.py
deleted file mode 100644
index 90e39c3f..00000000
--- a/tests/unit/analysis/test_minimization.py
+++ /dev/null
@@ -1,163 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.analysis.minimization import DiffractionMinimizer
-
-
-@pytest.fixture
-def mock_sample_models():
-    sample_models = MagicMock()
-    sample_models.get_free_params.return_value = [
-        MagicMock(name='param1', value=1.0, start_value=None, min=0.0, max=2.0, free=True),
-        MagicMock(name='param2', value=2.0, start_value=None, min=1.0, max=3.0, free=True),
-    ]
-    return sample_models
-
-
-@pytest.fixture
-def mock_experiments():
-    experiments = MagicMock()
-    experiments.get_free_params.return_value = [
-        MagicMock(name='param3', value=3.0, start_value=None, min=2.0, max=4.0, free=True),
-    ]
-    experiments.ids = ['experiment1']
-    experiments._items = {
-        'experiment1': MagicMock(
-            datastore=MagicMock(
-                pattern=MagicMock(
-                    meas=np.array([10.0, 20.0, 30.0]),
-                    meas_su=np.array([1.0, 1.0, 1.0]),
-                    excluded=np.array([False, False, False]),
-                )
-            )
-        )
-    }
-    return experiments
-
-
-@pytest.fixture
-def mock_calculator():
-    calculator = MagicMock()
-
-    def mock_calculate_pattern(sample_models, experiment, **kwargs):
-        experiment.datastore.calc = np.array([9.0, 19.0, 29.0])
-
-    calculator.calculate_pattern.side_effect = mock_calculate_pattern
-    return calculator
-
-
-@pytest.fixture
-def mock_minimizer():
-    minimizer = MagicMock()
-    minimizer.fit.return_value = MagicMock(success=True)
-    minimizer._sync_result_to_parameters = MagicMock()
-    minimizer.tracker.track = MagicMock(return_value=np.array([1.0, 2.0, 3.0]))
-    return minimizer
-
-
-@pytest.fixture
-def diffraction_minimizer(mock_minimizer):
-    with patch(
-        'easydiffraction.analysis.minimizers.minimizer_factory.MinimizerFactory.create_minimizer',
-        return_value=mock_minimizer,
-    ):
-        return DiffractionMinimizer(selection='lmfit (leastsq)')
-
-
-def test_fit_no_params(
-    diffraction_minimizer,
-    mock_sample_models,
-    mock_experiments,
-    mock_calculator,
-):
-    mock_sample_models.get_free_params.return_value = []
-    mock_experiments.get_free_params.return_value = []
-
-    result = diffraction_minimizer.fit(
-        mock_sample_models,
-        mock_experiments,
-        mock_calculator,
-    )
-
-    # Assertions
-    assert result is None
-
-
-def test_fit_with_params(
-    diffraction_minimizer,
-    mock_sample_models,
-    mock_experiments,
-    mock_calculator,
-):
-    diffraction_minimizer.fit(
-        mock_sample_models,
-        mock_experiments,
-        mock_calculator,
-    )
-
-    # Assertions
-    assert diffraction_minimizer.results.success is True
-    assert mock_calculator.calculate_pattern.called
-    assert mock_sample_models.get_free_params.called
-    assert mock_experiments.get_free_params.called
-
-
-def test_residual_function(
-    diffraction_minimizer,
-    mock_sample_models,
-    mock_experiments,
-    mock_calculator,
-):
-    parameters = mock_sample_models.get_free_params() + mock_experiments.get_free_params()
-    engine_params = MagicMock()
-
-    residuals = diffraction_minimizer._residual_function(
-        engine_params=engine_params,
-        parameters=parameters,
-        sample_models=mock_sample_models,
-        experiments=mock_experiments,
-        calculator=mock_calculator,
-    )
-
-    # Assertions
-    assert isinstance(residuals, np.ndarray)
-    assert len(residuals) == 3
-    assert mock_calculator.calculate_pattern.called
-    assert diffraction_minimizer.minimizer._sync_result_to_parameters.called
-
-
-# @patch(
-#    'easydiffraction.analysis.reliability_factors.get_reliability_inputs',
-#    return_value=(np.array([10.0]), np.array([9.0]), np.array([1.0])),
-# )
-# def test_process_fit_results(
-#    mock_get_reliability_inputs,
-#    diffraction_minimizer,
-#    mock_sample_models,
-#    mock_experiments,
-#    mock_calculator,
-# ):
-#    diffraction_minimizer.results = MagicMock()
-#    diffraction_minimizer._process_fit_results(
-#        mock_sample_models,
-#        mock_experiments,
-#        mock_calculator,
-#    )
-#
-#    # Assertions
-#    # mock_get_reliability_inputs.assert_called_once_with(mock_sample_models, mock_experiments, mock_calculator)
-#
-#    # Extract the arguments passed to `display_results`
-#    _, kwargs = diffraction_minimizer.results.display_results.call_args
-#
-#    # Assertions for arrays
-#    np.testing.assert_array_equal(kwargs['y_calc'], np.array([9.0, 19.0, 29.0]))
-#    np.testing.assert_array_equal(kwargs['y_err'], np.array([1.0, 1.0, 1.0]))
-#    np.testing.assert_array_equal(kwargs['y_obs'], np.array([10.0, 20.0, 30.0]))
-#
-#    # Assertions for other arguments
-#    assert kwargs['f_obs'] is None
-#    assert kwargs['f_calc'] is None
diff --git a/tests/unit/analysis/test_reliability_factors.py b/tests/unit/analysis/test_reliability_factors.py
deleted file mode 100644
index 9f326b55..00000000
--- a/tests/unit/analysis/test_reliability_factors.py
+++ /dev/null
@@ -1,110 +0,0 @@
-from unittest.mock import Mock
-
-import numpy as np
-
-from easydiffraction.analysis.fitting.metrics import calculate_r_factor
-from easydiffraction.analysis.fitting.metrics import calculate_r_factor_squared
-from easydiffraction.analysis.fitting.metrics import calculate_rb_factor
-from easydiffraction.analysis.fitting.metrics import calculate_reduced_chi_square
-from easydiffraction.analysis.fitting.metrics import calculate_weighted_r_factor
-from easydiffraction.analysis.fitting.metrics import get_reliability_inputs
-
-
-def test_calculate_r_factor():
-    y_obs = [10, 20, 30]
-    y_calc = [9, 19, 29]
-    result = calculate_r_factor(y_obs, y_calc)
-    expected = 0.05
-    np.testing.assert_allclose(result, expected)
-
-    # Test with empty arrays
-    assert np.isnan(calculate_r_factor([], []))
-
-    # Test with zero denominator
-    assert np.isnan(calculate_r_factor([0, 0, 0], [1, 1, 1]))
-
-
-def test_calculate_weighted_r_factor():
-    y_obs = [10, 20, 30]
-    y_calc = [9, 19, 29]
-    weights = [1, 1, 1]
-    result = calculate_weighted_r_factor(y_obs, y_calc, weights)
-    expected = 0.04629100498862757
-    np.testing.assert_allclose(result, expected)
-
-    # Test with empty arrays
-    assert np.isnan(calculate_weighted_r_factor([], [], []))
-
-    # Test with zero denominator
-    assert np.isnan(calculate_weighted_r_factor([0, 0, 0], [1, 1, 1], [1, 1, 1]))
-
-
-def test_calculate_rb_factor():
-    y_obs = [10, 20, 30]
-    y_calc = [9, 19, 29]
-    result = calculate_rb_factor(y_obs, y_calc)
-    expected = 0.05
-    np.testing.assert_allclose(result, expected)
-
-    # Test with empty arrays
-    assert np.isnan(calculate_rb_factor([], []))
-
-    # Test with zero denominator
-    assert np.isnan(calculate_rb_factor([0, 0, 0], [1, 1, 1]))
-
-
-def test_calculate_r_factor_squared():
-    y_obs = [10, 20, 30]
-    y_calc = [9, 19, 29]
-    result = calculate_r_factor_squared(y_obs, y_calc)
-    expected = 0.04629100498862757
-    np.testing.assert_allclose(result, expected)
-
-    # Test with empty arrays
-    assert np.isnan(calculate_r_factor_squared([], []))
-
-    # Test with zero denominator
-    assert np.isnan(calculate_r_factor_squared([0, 0, 0], [1, 1, 1]))
-
-
-def test_calculate_reduced_chi_square():
-    residuals = [1, 2, 3]
-    num_parameters = 1
-    result = calculate_reduced_chi_square(residuals, num_parameters)
-    expected = 7.0
-    np.testing.assert_allclose(result, expected)
-
-    # Test with empty residuals
-    assert np.isnan(calculate_reduced_chi_square([], 1))
-
-    # Test with zero degrees of freedom
-    assert np.isnan(calculate_reduced_chi_square([1, 2, 3], 3))
-
-
-def test_get_reliability_inputs():
-    # Mock inputs
-    sample_models = None
-    experiments = Mock()
-    calculator = Mock()
-
-    experiments._items = {
-        'experiment1': Mock(
-            datastore=Mock(
-                meas=np.array([10.0, 20.0, 30.0]),
-                meas_su=np.array([1.0, 1.0, 1.0]),
-                excluded=np.array([False, False, False]),
-            )
-        )
-    }
-
-    def mock_calculate_pattern(sample_models, experiment, **kwargs):
-        experiment.datastore.calc = np.array([9.0, 19.0, 29.0])
-
-    calculator.calculate_pattern.side_effect = mock_calculate_pattern
-
-    y_obs, y_calc, y_err = get_reliability_inputs(sample_models, experiments, calculator)
-
-    # Assertions
-    np.testing.assert_array_equal(y_obs, [10.0, 20.0, 30.0])
-    np.testing.assert_array_equal(y_calc, [9.0, 19.0, 29.0])
-    np.testing.assert_array_equal(y_err, [1.0, 1.0, 1.0])
diff --git a/tests/unit/core/test_objects.py b/tests/unit/core/test_objects.py
deleted file mode 100644
index 7873e85b..00000000
--- a/tests/unit/core/test_objects.py
+++ /dev/null
@@ -1,128 +0,0 @@
-from easydiffraction.core.objects import Collection
-from easydiffraction.core.objects import Component
-from easydiffraction.core.objects import Datablock
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.core.objects import Parameter
-
-# filepath: src/easydiffraction/core/test_objects.py
-
-
-def test_descriptor_initialization():
-    desc = Descriptor(value=10, name='test', cif_name='test_cif', editable=True)
-    assert desc.value == 10
-    assert desc.name == 'test'
-    assert desc.cif_name == 'test_cif'
-    assert desc.editable is True
-
-
-def test_descriptor_value_setter():
-    desc = Descriptor(value=10, name='test', cif_name='test_cif', editable=True)
-    desc.value = 20
-    assert desc.value == 20
-
-    desc_non_editable = Descriptor(value=10, name='test', cif_name='test_cif', editable=False)
-    desc_non_editable.value = 30
-    assert desc_non_editable.value == 10  # Value should not change
-
-
-def test_parameter_initialization():
-    param = Parameter(
-        value=5.0,
-        name='param',
-        cif_name='param_cif',
-        uncertainty=0.1,
-        free=True,
-        constrained=False,
-        min_value=0.0,
-        max_value=10.0,
-    )
-    assert param.value == 5.0
-    assert param.uncertainty == 0.1
-    assert param.free is True
-    assert param.constrained is False
-    assert param.min == 0.0
-    assert param.max == 10.0
-
-
-def test_component_abstract_methods():
-    class TestComponent(Component):
-        @property
-        def category_key(self):
-            return 'test_category'
-
-        @property
-        def cif_category_key(self):
-            return 'test_cif_category'
-
-    comp = TestComponent()
-    assert comp.category_key == 'test_category'
-    assert comp.cif_category_key == 'test_cif_category'
-
-
-def test_component_attribute_handling():
-    class TestComponent(Component):
-        @property
-        def category_key(self):
-            return 'test_category'
-
-        @property
-        def cif_category_key(self):
-            return 'test_cif_category'
-
-    comp = TestComponent()
-    desc = Descriptor(value=10, name='test', cif_name='test_cif')
-    comp.test_attr = desc
-    assert comp.test_attr.value == 10  # Access Descriptor value directly
-
-
-def test_collection_add_and_retrieve():
-    class TestCollection(Collection):
-        @property
-        def _child_class(self):
-            return str
-
-    collection = TestCollection()
-
-    collection._items['item1'] = 'value1'
-    collection._items['item2'] = 'value2'
-
-    assert collection['item1'] == 'value1'
-    assert collection['item2'] == 'value2'
-
-
-def test_collection_iteration():
-    class TestCollection(Collection):
-        @property
-        def _child_class(self):
-            return str
-
-    collection = TestCollection()
-
-    collection._items['item1'] = 'value1'
-    collection._items['item2'] = 'value2'
-
-    items = list(collection)
-    assert items == ['value1', 'value2']
-
-
-def test_datablock_components():
-    class TestComponent(Component):
-        @property
-        def category_key(self):
-            return 'test_category'
-
-        @property
-        def cif_category_key(self):
-            return 'test_cif_category'
-
-    class TestDatablock(Datablock):
-        def __init__(self):
-            super().__init__()
-            self.component1 = TestComponent()
-            self.component2 = TestComponent()
-
-    datablock = TestDatablock()
-    items = datablock.items()
-    assert len(items) == 2
-    assert isinstance(items[0], TestComponent)
-    assert isinstance(items[1], TestComponent)
diff --git a/tests/unit/core/test_singletons.py b/tests/unit/core/test_singletons.py
deleted file mode 100644
index f7f22212..00000000
--- a/tests/unit/core/test_singletons.py
+++ /dev/null
@@ -1,87 +0,0 @@
-from unittest.mock import MagicMock
-
-import pytest
-
-from easydiffraction.core.objects import Parameter
-from easydiffraction.core.singletons import BaseSingleton
-from easydiffraction.core.singletons import ConstraintsHandler
-from easydiffraction.core.singletons import UidMapHandler
-
-
-@pytest.fixture
-def params():
-    param1 = Parameter(value=1.0, name='param1', cif_name='param1_cif')
-    param2 = Parameter(value=2.0, name='param2', cif_name='param2_cif')
-    return param1, param2
-
-
-@pytest.fixture
-def mock_aliases(params):
-    param1, param2 = params
-    mock = MagicMock()
-    mock._items = {
-        'alias1': MagicMock(label=MagicMock(value='alias1'), param_uid=MagicMock(value=param1.uid)),
-        'alias2': MagicMock(label=MagicMock(value='alias2'), param_uid=MagicMock(value=param2.uid)),
-    }
-    return mock
-
-
-@pytest.fixture
-def mock_constraints():
-    mock = MagicMock()
-    mock._items = {
-        'expr1': MagicMock(lhs_alias=MagicMock(value='alias1'), rhs_expr=MagicMock(value='alias2 + 1')),
-        'expr2': MagicMock(lhs_alias=MagicMock(value='alias2'), rhs_expr=MagicMock(value='alias1 * 2')),
-    }
-    return mock
-
-
-def test_base_singleton():
-    class TestSingleton(BaseSingleton):
-        pass
-
-    instance1 = TestSingleton.get()
-    instance2 = TestSingleton.get()
-
-    assert instance1 is instance2  # Ensure only one instance is created
-
-
-def test_uid_map_handler(params):
-    param1, param2 = params
-    handler = UidMapHandler.get()
-    uid_map = handler.get_uid_map()
-
-    assert uid_map[param1.uid] is param1
-    assert uid_map[param2.uid] is param2
-    assert uid_map[param1.uid].uid == 'None.param1_cif'
-    assert uid_map[param2.uid].uid == 'None.param2_cif'
-
-
-def test_constraints_handler_set_aliases(mock_aliases, params):
-    param1, param2 = params
-    handler = ConstraintsHandler.get()
-    handler.set_aliases(mock_aliases)
-
-    assert handler._alias_to_param['alias1'].param_uid.value is param1.uid
-    assert handler._alias_to_param['alias2'].param_uid.value is param2.uid
-
-
-def test_constraints_handler_set_constraints(mock_constraints):
-    handler = ConstraintsHandler.get()
-    handler.set_constraints(mock_constraints)
-
-    assert len(handler._parsed_constraints) == 2
-    assert handler._parsed_constraints[0] == ('alias1', 'alias2 + 1')
-    assert handler._parsed_constraints[1] == ('alias2', 'alias1 * 2')
-
-
-def test_constraints_handler_apply(mock_aliases, mock_constraints, params):
-    param1, _ = params
-    handler = ConstraintsHandler.get()
-    handler.set_aliases(mock_aliases)
-    handler.set_constraints(mock_constraints)
-
-    handler.apply()
-
-    assert param1.value == 3.0
-    assert param1.constrained is True
diff --git a/tests/unit/easydiffraction/analysis/calculators/test_base.py b/tests/unit/easydiffraction/analysis/calculators/test_base.py
new file mode 100644
index 00000000..e1d4bdab
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/calculators/test_base.py
@@ -0,0 +1,7 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.analysis.calculators.base as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.calculators.base'
diff --git a/tests/unit/easydiffraction/analysis/calculators/test_crysfml.py b/tests/unit/easydiffraction/analysis/calculators/test_crysfml.py
new file mode 100644
index 00000000..d0eea743
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/calculators/test_crysfml.py
@@ -0,0 +1,29 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_module_import():
+    import easydiffraction.analysis.calculators.crysfml as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.calculators.crysfml'
+
+
+def test_crysfml_engine_flag_and_structure_factors_raises():
+    from easydiffraction.analysis.calculators.crysfml import CrysfmlCalculator
+
+    calc = CrysfmlCalculator()
+    # engine_imported is a boolean flag; it may be False in our env
+    assert isinstance(calc.engine_imported, bool)
+    with pytest.raises(NotImplementedError):
+        calc.calculate_structure_factors(sample_models=None, experiments=None)
+
+
+def test_crysfml_adjust_pattern_length_truncates():
+    from easydiffraction.analysis.calculators.crysfml import CrysfmlCalculator
+
+    calc = CrysfmlCalculator()
+    long = list(range(10))
+    out = calc._adjust_pattern_length(long, target_length=4)
+    assert out == [0, 1, 2, 3]
diff --git a/tests/unit/easydiffraction/analysis/calculators/test_cryspy.py b/tests/unit/easydiffraction/analysis/calculators/test_cryspy.py
new file mode 100644
index 00000000..f1bfd927
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/calculators/test_cryspy.py
@@ -0,0 +1,25 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.analysis.calculators.cryspy as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.calculators.cryspy'
+
+
+def test_cryspy_calculator_engine_flag_and_converters():
+    # These tests avoid requiring real cryspy by not invoking heavy paths
+    from easydiffraction.analysis.calculators.cryspy import CryspyCalculator
+
+    calc = CryspyCalculator()
+    # engine_imported is boolean (may be False if cryspy not installed)
+    assert isinstance(calc.engine_imported, bool)
+
+    # Converters should just delegate/format without external deps
+    class DummySample:
+        @property
+        def as_cif(self):
+            return 'data_x'
+
+    # _convert_sample_model_to_cryspy_cif returns input as_cif
+    assert calc._convert_sample_model_to_cryspy_cif(DummySample()) == 'data_x'
diff --git a/tests/unit/easydiffraction/analysis/calculators/test_factory.py b/tests/unit/easydiffraction/analysis/calculators/test_factory.py
new file mode 100644
index 00000000..2fed1816
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/calculators/test_factory.py
@@ -0,0 +1,41 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_list_and_show_supported_calculators_do_not_crash(capsys, monkeypatch):
+    from easydiffraction.analysis.calculators.factory import CalculatorFactory
+
+    # Simulate no engines available by forcing engine_imported to False
+    class DummyCalc:
+        def __call__(self):
+            return self
+
+        @property
+        def engine_imported(self):
+            return False
+
+    monkeypatch = monkeypatch  # keep name
+    monkeypatch.setitem(
+        CalculatorFactory._potential_calculators,
+        'dummy',
+        {
+            'description': 'Dummy calc',
+            'class': DummyCalc,
+        },
+    )
+
+    lst = CalculatorFactory.list_supported_calculators()
+    assert isinstance(lst, list)
+
+    CalculatorFactory.show_supported_calculators()
+    out = capsys.readouterr().out
+    # Should print the paragraph title
+    assert 'Supported calculators' in out
+
+
+def test_create_calculator_unknown_returns_none(capsys):
+    from easydiffraction.analysis.calculators.factory import CalculatorFactory
+
+    obj = CalculatorFactory.create_calculator('this_is_unknown')
+    assert obj is None
+    out = capsys.readouterr().out
+    assert 'Unknown calculator' in out
diff --git a/tests/unit/easydiffraction/analysis/calculators/test_pdffit.py b/tests/unit/easydiffraction/analysis/calculators/test_pdffit.py
new file mode 100644
index 00000000..9ea0b0cb
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/calculators/test_pdffit.py
@@ -0,0 +1,98 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_module_import():
+    import easydiffraction.analysis.calculators.pdffit as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.calculators.pdffit'
+
+
+def test_pdffit_engine_flag_and_hkl_message(capsys):
+    from easydiffraction.analysis.calculators.pdffit import PdffitCalculator
+
+    calc = PdffitCalculator()
+    assert isinstance(calc.engine_imported, bool)
+    # calculate_structure_factors prints fixed message and returns [] by contract
+    out = calc.calculate_structure_factors(sample_models=None, experiments=None)
+    assert out == []
+    # The method prints a note
+    printed = capsys.readouterr().out
+    assert 'HKLs (not applicable)' in printed
+
+
+def test_pdffit_cif_v2_to_v1_regex_behavior(monkeypatch):
+    # Exercise the regex conversion path indirectly by providing minimal objects
+    from easydiffraction.analysis.calculators.pdffit import PdffitCalculator
+
+    class DummyParam:
+        def __init__(self, v):
+            self.value = v
+
+    class DummyPeak:
+        # provide required attributes used in calculation
+        def __init__(self):
+            self.sharp_delta_1 = DummyParam(0.0)
+            self.sharp_delta_2 = DummyParam(0.0)
+            self.damp_particle_diameter = DummyParam(0.0)
+            self.cutoff_q = DummyParam(1.0)
+            self.damp_q = DummyParam(0.0)
+            self.broad_q = DummyParam(0.0)
+
+    class DummyLinkedPhases(dict):
+        def __getitem__(self, k):
+            return type('LP', (), {'scale': DummyParam(1.0)})()
+
+    class DummyExperiment:
+        def __init__(self):
+            self.name = 'E'
+            self.peak = DummyPeak()
+            self.data = type('D', (), {'x': np.linspace(0.0, 1.0, 5)})()
+            self.type = type('T', (), {'radiation_probe': type('P', (), {'value': 'neutron'})()})()
+            self.linked_phases = DummyLinkedPhases()
+
+    class DummySampleModel:
+        name = 'PhaseA'
+
+        @property
+        def as_cif(self):
+            # CIF v2-like tags with dots between letters
+            return '_atom.site.label A1\n_cell.length_a 1.0'
+
+    # Monkeypatch PdfFit and parser to avoid real engine usage
+    import easydiffraction.analysis.calculators.pdffit as mod
+
+    class FakePdf:
+        def add_structure(self, s):
+            pass
+
+        def setvar(self, *a, **k):
+            pass
+
+        def read_data_lists(self, *a, **k):
+            pass
+
+        def calc(self):
+            pass
+
+        def getpdf_fit(self):
+            return [0.0, 0.0, 0.0, 0.0, 0.0]
+
+    class FakeParser:
+        def parse(self, text):
+            # Ensure the dot between letters is converted to underscore
+            assert '_atom_site_label' in text or '_atom.site.label' not in text
+            return object()
+
+    monkeypatch.setattr(mod, 'PdfFit', FakePdf)
+    monkeypatch.setattr(mod, 'pdffit_cif_parser', lambda: FakeParser())
+    monkeypatch.setattr(mod, 'redirect_stdout', lambda *a, **k: None)
+    monkeypatch.setattr(mod, '_pdffit_devnull', None, raising=False)
+
+    calc = PdffitCalculator()
+    pattern = calc.calculate_pattern(
+        DummySampleModel(), DummyExperiment(), called_by_minimizer=False
+    )
+    assert isinstance(pattern, np.ndarray) and pattern.shape[0] == 5
diff --git a/tests/unit/easydiffraction/analysis/categories/test_aliases.py b/tests/unit/easydiffraction/analysis/categories/test_aliases.py
new file mode 100644
index 00000000..b85ebd3b
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/categories/test_aliases.py
@@ -0,0 +1,15 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.analysis.categories.aliases import Alias
+from easydiffraction.analysis.categories.aliases import Aliases
+
+
+def test_alias_creation_and_collection():
+    a = Alias(label='x', param_uid='p1')
+    assert a.label.value == 'x'
+    coll = Aliases()
+    coll.add(label='x', param_uid='p1')
+    # Collections index by entry name; check via names or direct indexing
+    assert 'x' in coll.names
+    assert coll['x'].param_uid.value == 'p1'
diff --git a/tests/unit/easydiffraction/analysis/categories/test_constraints.py b/tests/unit/easydiffraction/analysis/categories/test_constraints.py
new file mode 100644
index 00000000..23d19e45
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/categories/test_constraints.py
@@ -0,0 +1,14 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.analysis.categories.constraints import Constraint
+from easydiffraction.analysis.categories.constraints import Constraints
+
+
+def test_constraint_creation_and_collection():
+    c = Constraint(lhs_alias='a', rhs_expr='b + c')
+    assert c.lhs_alias.value == 'a'
+    coll = Constraints()
+    coll.add(lhs_alias='a', rhs_expr='b + c')
+    assert 'a' in coll.names
+    assert coll['a'].rhs_expr.value == 'b + c'
diff --git a/tests/unit/easydiffraction/analysis/categories/test_joint_fit_experiments.py b/tests/unit/easydiffraction/analysis/categories/test_joint_fit_experiments.py
new file mode 100644
index 00000000..737f6eb7
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/categories/test_joint_fit_experiments.py
@@ -0,0 +1,15 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.analysis.categories.joint_fit_experiments import JointFitExperiment
+from easydiffraction.analysis.categories.joint_fit_experiments import JointFitExperiments
+
+
+def test_joint_fit_experiment_and_collection():
+    j = JointFitExperiment(id='ex1', weight=0.5)
+    assert j.id.value == 'ex1'
+    assert j.weight.value == 0.5
+    coll = JointFitExperiments()
+    coll.add(id='ex1', weight=0.5)
+    assert 'ex1' in coll.names
+    assert coll['ex1'].weight.value == 0.5
diff --git a/tests/unit/easydiffraction/analysis/fit_helpers/test_metrics.py b/tests/unit/easydiffraction/analysis/fit_helpers/test_metrics.py
new file mode 100644
index 00000000..63ec75ac
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/fit_helpers/test_metrics.py
@@ -0,0 +1,54 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_calculate_r_metrics_and_chi_square():
+    from easydiffraction.analysis.fit_helpers import metrics as M
+
+    y_obs = np.array([1.0, 2.0, 3.0])
+    y_calc = np.array([1.1, 1.9, 2.8])
+    weights = np.array([1.0, 2.0, 3.0])
+    residuals = y_obs - y_calc
+
+    r = M.calculate_r_factor(y_obs, y_calc)
+    rb = M.calculate_rb_factor(y_obs, y_calc)
+    rw = M.calculate_weighted_r_factor(y_obs, y_calc, weights)
+    r2 = M.calculate_r_factor_squared(y_obs, y_calc)
+    chi2 = M.calculate_reduced_chi_square(residuals, num_parameters=1)
+
+    assert 0 <= r <= 1 and np.isfinite(r)
+    assert np.isclose(r, rb)
+    assert np.isfinite(rw)
+    assert np.isfinite(r2)
+    assert np.isfinite(chi2)
+
+
+def test_get_reliability_inputs_collects_arrays_with_default_su():
+    from easydiffraction.analysis.fit_helpers import metrics as M
+
+    # Minimal fakes for experiments
+    class DS:
+        def __init__(self):
+            self.meas = np.array([1.0, 2.0])
+            self.meas_su = None  # triggers default ones
+            self.calc = np.array([1.1, 1.9])
+
+    class Expt:
+        def __init__(self):
+            self.data = DS()
+
+        def _update_categories(self, called_by_minimizer=False):
+            pass
+
+    class Expts(dict):
+        def values(self):
+            return [Expt()]
+
+    class SampleModels(dict):
+        pass
+
+    y_obs, y_calc, y_err = M.get_reliability_inputs(SampleModels(), Expts())
+    assert y_obs.shape == (2,) and y_calc.shape == (2,) and y_err.shape == (2,)
+    assert np.allclose(y_err, 1.0)
diff --git a/tests/unit/easydiffraction/analysis/fit_helpers/test_reporting.py b/tests/unit/easydiffraction/analysis/fit_helpers/test_reporting.py
new file mode 100644
index 00000000..fcc55f54
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/fit_helpers/test_reporting.py
@@ -0,0 +1,60 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.analysis.fit_helpers.reporting as MUT
+
+    expected_module_name = 'easydiffraction.analysis.fit_helpers.reporting'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_fitresults_display_results_prints_and_table(capsys, monkeypatch):
+    # Arrange: build a minimal fake parameter object with required attributes
+    class Identity:
+        def __init__(self):
+            self.datablock_entry_name = 'db'
+            self.category_code = 'cat'
+            self.category_entry_name = 'entry'
+
+    class Param:
+        def __init__(self, start, value, uncertainty, name='p', units='u'):
+            self._identity = Identity()
+            self._fit_start_value = start
+            self.value = value
+            self.uncertainty = uncertainty
+            self.name = name
+            self.units = units
+
+    from easydiffraction.analysis.fit_helpers.reporting import FitResults
+
+    params = [Param(start=1.0, value=1.2, uncertainty=0.05, name='a', units='arb')]
+
+    # Act: create results and display with all metrics available
+    fr = FitResults(
+        success=True,
+        parameters=params,
+        reduced_chi_square=1.2345,
+        fitting_time=0.9876,
+    )
+
+    y_obs = [10.0, 20.0]
+    y_calc = [9.5, 19.5]
+    y_err = [1.0, 1.0]
+    f_obs = [5.0, 6.0]
+    f_calc = [5.1, 5.9]
+
+    fr.display_results(y_obs=y_obs, y_calc=y_calc, y_err=y_err, f_obs=f_obs, f_calc=f_calc)
+
+    # Assert: key lines printed and a table rendered
+    out = capsys.readouterr().out
+    assert 'Fit results' in out
+    assert 'Success: True' in out
+    assert 'reduced χ²' in out
+    assert 'R-factor (Rf)' in out
+    assert 'R-factor squared (Rf²)' in out
+    assert 'Weighted R-factor (wR)' in out
+    assert 'Bragg R-factor (BR)' in out
+    assert 'Fitted parameters:' in out
+    # Table border: accept common border glyphs from Rich/tabulate
+    assert any(ch in out for ch in ('╒', '┌', '+', '─'))
diff --git a/tests/unit/easydiffraction/analysis/fit_helpers/test_tracking.py b/tests/unit/easydiffraction/analysis/fit_helpers/test_tracking.py
new file mode 100644
index 00000000..8bef6ead
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/fit_helpers/test_tracking.py
@@ -0,0 +1,45 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_module_import():
+    import easydiffraction.analysis.fit_helpers.tracking as MUT
+
+    expected_module_name = 'easydiffraction.analysis.fit_helpers.tracking'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_tracker_terminal_flow_prints_and_updates_best(monkeypatch, capsys):
+    import easydiffraction.analysis.fit_helpers.tracking as tracking_mod
+    from easydiffraction.analysis.fit_helpers.tracking import FitProgressTracker
+
+    # Force terminal branch (not notebook): tracking imports in_jupyter directly
+    monkeypatch.setattr(tracking_mod, 'in_jupyter', lambda: False)
+
+    tracker = FitProgressTracker()
+    tracker.start_tracking('dummy')
+    tracker.start_timer()
+
+    # First iteration sets previous and best
+    res1 = np.array([2.0, 1.0])  # chi2 = 5, dof depends on num params but relative change only
+    tracker.track(res1, parameters=[1])
+
+    # Second iteration small change below threshold -> no row emitted
+    out1 = capsys.readouterr().out
+    assert 'Goodness-of-fit' in out1
+
+    res2 = np.array([1.9, 1.0])
+    tracker.track(res2, parameters=[1])
+
+    # Third iteration large improvement -> row emitted
+    res3 = np.array([0.1, 0.1])
+    tracker.track(res3, parameters=[1])
+
+    tracker.stop_timer()
+    tracker.finish_tracking()
+    out2 = capsys.readouterr().out
+    assert 'Best goodness-of-fit' in out2
+    assert tracker.best_iteration is not None
diff --git a/tests/unit/easydiffraction/analysis/minimizers/test_base.py b/tests/unit/easydiffraction/analysis/minimizers/test_base.py
new file mode 100644
index 00000000..d608bdc2
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/minimizers/test_base.py
@@ -0,0 +1,107 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_module_import():
+    import easydiffraction.analysis.minimizers.base as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.minimizers.base'
+
+
+def test_minimizer_base_fit_flow_and_finalize():
+    from easydiffraction.analysis.minimizers.base import MinimizerBase
+
+    class DummyParam:
+        def __init__(self, v):
+            self.value = v
+
+    class DummyResult:
+        def __init__(self, success=True):
+            self.success = success
+
+    class DummyMinimizer(MinimizerBase):
+        def __init__(self):
+            super().__init__(name='dummy', method='m', max_iterations=5)
+            self.synced = False
+
+        def _prepare_solver_args(self, parameters):
+            # Make sure parameters list is received
+            assert isinstance(parameters, list)
+            return {'engine_parameters': {'ok': True}}
+
+        def _run_solver(self, objective_function, **kwargs):
+            # Exercise calling of the provided objective
+            residuals = objective_function(kwargs.get('engine_parameters'))
+            # Update tracker so finish_tracking has valid metrics
+            self.tracker.track(residuals=np.array(residuals), parameters=[1])
+            return DummyResult(success=True)
+
+        def _sync_result_to_parameters(self, parameters, raw_result):
+            # Mark that syncing happened and tweak a parameter
+            self.synced = True
+            if parameters:
+                parameters[0].value = 42
+
+        def _check_success(self, raw_result):
+            return getattr(raw_result, 'success', False)
+
+        # Provide residuals implementation used by _objective_function
+        def _compute_residuals(
+            self, engine_params, parameters, sample_models, experiments, calculator
+        ):
+            # Minimal residuals; verify engine params passed through
+            assert engine_params == {'ok': True}
+            return np.array([0.0, 0.0])
+
+    minim = DummyMinimizer()
+
+    params = [DummyParam(1.0), DummyParam(2.0)]
+
+    # Wrap minimizer's objective creator to simulate higher-level usage
+    objective = minim._create_objective_function(
+        parameters=params,
+        sample_models=None,
+        experiments=None,
+        calculator=None,
+    )
+
+    result = minim.fit(parameters=params, objective_function=objective)
+
+    # Assertions: finalize populated, sync occurred, tracker captured time
+    assert result.success is True
+    assert minim.synced is True
+    assert isinstance(result.parameters, list) and result.parameters[0].value == 42
+    # Fitting time should be a positive float
+    assert minim.tracker.fitting_time is not None and minim.tracker.fitting_time >= 0.0
+
+
+def test_minimizer_base_create_objective_function_uses_compute_residuals():
+    from easydiffraction.analysis.minimizers.base import MinimizerBase
+
+    class M(MinimizerBase):
+        def _prepare_solver_args(self, parameters):
+            return {}
+
+        def _run_solver(self, objective_function, **kwargs):
+            return None
+
+        def _sync_result_to_parameters(self, parameters, raw_result):
+            pass
+
+        def _check_success(self, raw_result):
+            return True
+
+        def _compute_residuals(
+            self, engine_params, parameters, sample_models, experiments, calculator
+        ):
+            # Return a deterministic vector to assert against
+            return np.array([1.0, 2.0, 3.0])
+
+    m = M()
+    f = m._create_objective_function(
+        parameters=[], sample_models=None, experiments=None, calculator=None
+    )
+    out = f({})
+    assert np.allclose(out, np.array([1.0, 2.0, 3.0]))
diff --git a/tests/unit/easydiffraction/analysis/minimizers/test_dfols.py b/tests/unit/easydiffraction/analysis/minimizers/test_dfols.py
new file mode 100644
index 00000000..b3bb4e03
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/minimizers/test_dfols.py
@@ -0,0 +1,50 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_module_import():
+    import easydiffraction.analysis.minimizers.dfols as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.minimizers.dfols'
+
+
+def test_dfols_prepare_run_and_sync(monkeypatch):
+    from easydiffraction.analysis.minimizers.dfols import DfolsMinimizer
+
+    class P:
+        def __init__(self, v, lo=-np.inf, hi=np.inf):
+            self.value = v
+            self.fit_min = lo
+            self.fit_max = hi
+            self.uncertainty = None
+
+    class FakeRes:
+        EXIT_SUCCESS = 0
+
+        def __init__(self):
+            self.x = np.array([3.0, 4.0])
+            self.flag = 0
+
+    # Patch dfols.solve to return our FakeRes
+    import easydiffraction.analysis.minimizers.dfols as mod
+
+    def fake_solve(fun, x0, bounds, maxfun):
+        # Verify we pass reasonable arguments
+        assert isinstance(x0, np.ndarray) and x0.shape[0] == 2
+        assert isinstance(bounds, tuple) and all(isinstance(b, np.ndarray) for b in bounds)
+        return FakeRes()
+
+    monkeypatch.setattr(mod, 'solve', fake_solve)
+
+    minim = DfolsMinimizer(max_iterations=10)
+    params = [P(1.0, lo=0.0, hi=5.0), P(2.0, lo=1.0, hi=6.0)]
+    kwargs = minim._prepare_solver_args(params)
+    assert set(kwargs.keys()) == {'x0', 'bounds'}
+    res = minim._run_solver(lambda p: np.array([0.0]), **kwargs)
+    # Sync back values and check success flag handling
+    minim._sync_result_to_parameters(params, res)
+    assert params[0].value == 3.0 and params[1].value == 4.0
+    assert params[0].uncertainty is None and params[1].uncertainty is None
+    assert minim._check_success(res) is True
diff --git a/tests/unit/easydiffraction/analysis/minimizers/test_factory.py b/tests/unit/easydiffraction/analysis/minimizers/test_factory.py
new file mode 100644
index 00000000..a429342d
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/minimizers/test_factory.py
@@ -0,0 +1,51 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_minimizer_factory_list_and_show(capsys):
+    from easydiffraction.analysis.minimizers.factory import MinimizerFactory
+
+    lst = MinimizerFactory.list_available_minimizers()
+    assert isinstance(lst, list) and len(lst) >= 1
+    MinimizerFactory.show_available_minimizers()
+    out = capsys.readouterr().out
+    assert 'Supported minimizers' in out
+
+
+def test_minimizer_factory_unknown_raises():
+    from easydiffraction.analysis.minimizers.factory import MinimizerFactory
+
+    try:
+        MinimizerFactory.create_minimizer('___unknown___')
+    except ValueError as e:
+        assert 'Unknown minimizer' in str(e)
+    else:
+        assert False, 'Expected ValueError'
+
+
+def test_minimizer_factory_create_known_and_register(monkeypatch):
+    from easydiffraction.analysis.minimizers.base import MinimizerBase
+    from easydiffraction.analysis.minimizers.factory import MinimizerFactory
+
+    # Create a known minimizer instance (lmfit (leastsq) exists)
+    m = MinimizerFactory.create_minimizer('lmfit (leastsq)')
+    assert isinstance(m, MinimizerBase)
+
+    # Register a custom minimizer and create it
+    class Custom(MinimizerBase):
+        def _prepare_solver_args(self, parameters):
+            return {}
+
+        def _run_solver(self, objective_function, **kwargs):
+            return None
+
+        def _sync_result_to_parameters(self, raw_result, parameters):
+            pass
+
+        def _check_success(self, raw_result):
+            return True
+
+    MinimizerFactory.register_minimizer(
+        name='custom-test', minimizer_cls=Custom, method=None, description='x'
+    )
+    created = MinimizerFactory.create_minimizer('custom-test')
+    assert isinstance(created, Custom)
diff --git a/tests/unit/easydiffraction/analysis/minimizers/test_lmfit.py b/tests/unit/easydiffraction/analysis/minimizers/test_lmfit.py
new file mode 100644
index 00000000..e7322bcd
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/minimizers/test_lmfit.py
@@ -0,0 +1,73 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import types
+
+import numpy as np
+
+
+def test_module_import():
+    import easydiffraction.analysis.minimizers.lmfit as MUT
+
+    assert MUT.__name__ == 'easydiffraction.analysis.minimizers.lmfit'
+
+
+def test_lmfit_prepare_and_sync(monkeypatch):
+    from easydiffraction.analysis.minimizers.lmfit import LmfitMinimizer
+
+    class P:
+        def __init__(self, name, value, free=True, lo=-np.inf, hi=np.inf):
+            self._minimizer_uid = name
+            self._value = value
+            self.free = free
+            self.fit_min = lo
+            self.fit_max = hi
+            self.uncertainty = None
+
+        @property
+        def value(self):
+            return self._value
+
+        @value.setter
+        def value(self, v):
+            self._value = v
+
+    # Fake lmfit.Parameters and result structure
+    class FakeParam:
+        def __init__(self, value, stderr=None):
+            self.value = value
+            self.stderr = stderr
+
+    class FakeParams(dict):
+        def add(self, name, value, vary, min, max):
+            self[name] = types.SimpleNamespace(value=value, vary=vary, min=min, max=max)
+
+    class FakeResult:
+        def __init__(self):
+            self.params = {'p1': FakeParam(10.0, stderr=0.5), 'p2': FakeParam(20.0, stderr=1.0)}
+            self.success = True
+
+    # Monkeypatch lmfit in module namespace
+    import easydiffraction.analysis.minimizers.lmfit as lm
+
+    monkeypatch.setattr(
+        lm,
+        'lmfit',
+        types.SimpleNamespace(Parameters=FakeParams, minimize=lambda *a, **k: FakeResult()),
+    )
+
+    minim = LmfitMinimizer()
+    params = [P('p1', 1.0), P('p2', 2.0)]
+
+    # Prepare
+    kwargs = minim._prepare_solver_args(params)
+    assert isinstance(kwargs.get('engine_parameters'), FakeParams)
+    # Run solver calls our fake minimize and returns FakeResult
+    res = minim._run_solver(lambda *a, **k: np.array([0.0]), **kwargs)
+    assert isinstance(res, FakeResult)
+
+    # Sync back updates parameter values and uncertainties
+    minim._sync_result_to_parameters(params, res)
+    assert params[0].value == 10.0 and params[0].uncertainty == 0.5
+    assert params[1].value == 20.0 and params[1].uncertainty == 1.0
+    assert minim._check_success(res) is True
diff --git a/tests/unit/easydiffraction/analysis/test_analysis.py b/tests/unit/easydiffraction/analysis/test_analysis.py
new file mode 100644
index 00000000..53a2b796
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/test_analysis.py
@@ -0,0 +1,84 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.analysis.analysis as MUT
+
+    expected_module_name = 'easydiffraction.analysis.analysis'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def _make_project_with_names(names):
+    class ExpCol:
+        def __init__(self, names):
+            self._names = names
+
+        @property
+        def names(self):
+            return self._names
+
+    class P:
+        experiments = ExpCol(names)
+        sample_models = object()
+        _varname = 'proj'
+
+    return P()
+
+
+def test_show_current_calculator_and_minimizer_prints(capsys):
+    from easydiffraction.analysis.analysis import Analysis
+
+    a = Analysis(project=_make_project_with_names([]))
+    a.show_current_calculator()
+    a.show_current_minimizer()
+    out = capsys.readouterr().out
+    assert 'Current calculator' in out
+    assert 'cryspy' in out
+    assert 'Current minimizer' in out
+    assert 'lmfit (leastsq)' in out
+
+
+def test_current_calculator_setter_success_and_unknown(monkeypatch, capsys):
+    from easydiffraction.analysis import calculators as calc_pkg
+    from easydiffraction.analysis.analysis import Analysis
+
+    a = Analysis(project=_make_project_with_names([]))
+
+    # Success path
+    monkeypatch.setattr(
+        calc_pkg.factory.CalculatorFactory,
+        'create_calculator',
+        lambda name: object(),
+    )
+    a.current_calculator = 'pdffit'
+    out = capsys.readouterr().out
+    assert 'Current calculator changed to' in out
+    assert a.current_calculator == 'pdffit'
+
+    # Unknown path (create_calculator returns None): no change
+    monkeypatch.setattr(
+        calc_pkg.factory.CalculatorFactory,
+        'create_calculator',
+        lambda name: None,
+    )
+    a.current_calculator = 'unknown'
+    assert a.current_calculator == 'pdffit'
+
+
+def test_fit_modes_show_and_switch_to_joint(monkeypatch, capsys):
+    from easydiffraction.analysis.analysis import Analysis
+
+    a = Analysis(project=_make_project_with_names(['e1', 'e2']))
+
+    a.show_available_fit_modes()
+    a.show_current_fit_mode()
+    out1 = capsys.readouterr().out
+    assert 'Available fit modes' in out1
+    assert 'Current fit mode' in out1
+    assert 'single' in out1
+
+    a.fit_mode = 'joint'
+    out2 = capsys.readouterr().out
+    assert 'Current fit mode changed to' in out2
+    assert a.fit_mode == 'joint'
diff --git a/tests/unit/easydiffraction/analysis/test_analysis_access_params.py b/tests/unit/easydiffraction/analysis/test_analysis_access_params.py
new file mode 100644
index 00000000..18de9834
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/test_analysis_access_params.py
@@ -0,0 +1,83 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_how_to_access_parameters_prints_paths_and_uids(capsys, monkeypatch):
+    from easydiffraction.analysis.analysis import Analysis
+    from easydiffraction.core.parameters import Parameter
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+    import easydiffraction.analysis.analysis as analysis_mod
+
+    # Build two parameters with identity metadata set directly
+    def make_param(db, cat, entry, name, val):
+        p = Parameter(
+            name=name,
+            value_spec=AttributeSpec(value=val, type_=DataTypes.NUMERIC, default=0.0),
+            cif_handler=CifHandler(names=[f'_{cat}.{name}']),
+        )
+        # Inject identity metadata (avoid parent chain)
+        p._identity.datablock_entry_name = lambda: db
+        p._identity.category_code = cat
+        if entry:
+            p._identity.category_entry_name = lambda: entry
+        else:
+            p._identity.category_entry_name = lambda: ''
+        return p
+
+    p1 = make_param('db1', 'catA', '', 'alpha', 1.0)
+    p2 = make_param('db2', 'catB', 'row1', 'beta', 2.0)
+
+    class Coll:
+        def __init__(self, params):
+            self.parameters = params
+
+    class Project:
+        _varname = 'proj'
+
+        def __init__(self):
+            self.sample_models = Coll([p1])
+            self.experiments = Coll([p2])
+
+    # Capture the table payload by monkeypatching render_table to avoid
+    # terminal wrapping/ellipsis affecting string matching.
+    captured = {}
+
+    def fake_render_table(**kwargs):
+        captured.update(kwargs)
+
+    monkeypatch.setattr(analysis_mod, 'render_table', fake_render_table)
+    a = Analysis(Project())
+    a.how_to_access_parameters()
+
+    out = capsys.readouterr().out
+    assert 'How to access parameters' in out
+
+    # Validate headers and row contents independent of terminal renderer
+    headers = captured.get('columns_headers') or []
+    data = captured.get('columns_data') or []
+
+    assert 'How to Access in Python Code' in headers
+
+    # Flatten rows to strings for simple membership checks
+    flat_rows = [' '.join(map(str, row)) for row in data]
+
+    # Python access paths
+    assert any("proj.sample_models['db1'].catA.alpha" in r for r in flat_rows)
+    assert any("proj.experiments['db2'].catB['row1'].beta" in r for r in flat_rows)
+
+    # Now check CIF unique identifiers via the new API
+    captured2 = {}
+
+    def fake_render_table2(**kwargs):
+        captured2.update(kwargs)
+
+    monkeypatch.setattr(analysis_mod, 'render_table', fake_render_table2)
+    a.show_parameter_cif_uids()
+    headers2 = captured2.get('columns_headers') or []
+    data2 = captured2.get('columns_data') or []
+    assert 'Unique Identifier for CIF Constraints' in headers2
+    flat_rows2 = [' '.join(map(str, row)) for row in data2]
+    # Unique names are datablock.category[.entry].parameter
+    assert any('db1 catA  alpha' in r.replace('.', ' ') for r in flat_rows2)
+    assert any('db2 catB row1 beta' in r.replace('.', ' ') for r in flat_rows2)
diff --git a/tests/unit/easydiffraction/analysis/test_analysis_show_empty.py b/tests/unit/easydiffraction/analysis/test_analysis_show_empty.py
new file mode 100644
index 00000000..473437b2
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/test_analysis_show_empty.py
@@ -0,0 +1,39 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_show_params_empty_branches(capsys):
+    from easydiffraction.analysis.analysis import Analysis
+
+    class Empty:
+        @property
+        def parameters(self):
+            return []
+
+        @property
+        def fittable_parameters(self):
+            return []
+
+        @property
+        def free_parameters(self):
+            return []
+
+    class P:
+        sample_models = Empty()
+        experiments = Empty()
+        _varname = 'proj'
+
+    a = Analysis(project=P())
+
+    # show_all_params -> warning path
+    a.show_all_params()
+    # show_fittable_params -> warning path
+    a.show_fittable_params()
+    # show_free_params -> warning path
+    a.show_free_params()
+
+    out = capsys.readouterr().out
+    assert (
+        'No parameters found' in out
+        or 'No fittable parameters' in out
+        or 'No free parameters' in out
+    )
diff --git a/tests/unit/easydiffraction/analysis/test_fitting.py b/tests/unit/easydiffraction/analysis/test_fitting.py
new file mode 100644
index 00000000..13a173e4
--- /dev/null
+++ b/tests/unit/easydiffraction/analysis/test_fitting.py
@@ -0,0 +1,36 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.analysis.fitting as MUT
+
+    expected_module_name = 'easydiffraction.analysis.fitting'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_fitter_early_exit_when_no_params(capsys, monkeypatch):
+    from easydiffraction.analysis.fitting import Fitter
+
+    class DummyCollection:
+        free_parameters = []
+
+        def __init__(self):
+            self._names = ['e1']
+
+        @property
+        def names(self):
+            return self._names
+
+    class DummyMin:
+        tracker = type('T', (), {'track': staticmethod(lambda a, b: a)})()
+
+        def fit(self, params, obj):
+            return None
+
+    f = Fitter()
+    # Avoid creating a real minimizer
+    f.minimizer = DummyMin()
+    f.fit(sample_models=DummyCollection(), experiments=DummyCollection())
+    out = capsys.readouterr().out
+    assert 'No parameters selected for fitting' in out
diff --git a/tests/unit/easydiffraction/core/test_category.py b/tests/unit/easydiffraction/core/test_category.py
new file mode 100644
index 00000000..7452e3c1
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_category.py
@@ -0,0 +1,67 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.core.category import CategoryCollection
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import StringDescriptor
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.io.cif.handler import CifHandler
+
+
+class SimpleItem(CategoryItem):
+    def __init__(self, entry_name):
+        super().__init__()
+        self._identity.category_code = 'simple'
+        self._identity.category_entry_name = entry_name
+        object.__setattr__(
+            self,
+            '_a',
+            StringDescriptor(
+                name='a',
+                description='',
+                value_spec=AttributeSpec(value='x', type_=DataTypes.STRING, default=''),
+                cif_handler=CifHandler(names=['_simple.a']),
+            ),
+        )
+        object.__setattr__(
+            self,
+            '_b',
+            StringDescriptor(
+                name='b',
+                description='',
+                value_spec=AttributeSpec(value='y', type_=DataTypes.STRING, default=''),
+                cif_handler=CifHandler(names=['_simple.b']),
+            ),
+        )
+
+    @property
+    def a(self):
+        return self._a
+
+    @property
+    def b(self):
+        return self._b
+
+
+class SimpleCollection(CategoryCollection):
+    def __init__(self):
+        super().__init__(item_type=SimpleItem)
+
+
+def test_category_item_str_and_properties():
+    it = SimpleItem('name1')
+    s = str(it)
+    assert '<' in s and 'a=' in s and 'b=' in s
+    assert it.unique_name.endswith('.simple.name1') or it.unique_name == 'simple.name1'
+    assert len(it.parameters) == 2
+
+
+def test_category_collection_str_and_cif_calls():
+    c = SimpleCollection()
+    c.add('n1')
+    c.add('n2')
+    s = str(c)
+    assert 'collection' in s and '2 items' in s
+    # as_cif delegates to serializer; should be a string (possibly empty)
+    assert isinstance(c.as_cif, str)
diff --git a/tests/unit/easydiffraction/core/test_collection.py b/tests/unit/easydiffraction/core/test_collection.py
new file mode 100644
index 00000000..b8388f68
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_collection.py
@@ -0,0 +1,31 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_collection_add_get_delete_and_names():
+    from easydiffraction.core.collection import CollectionBase
+    from easydiffraction.core.identity import Identity
+
+    class Item:
+        def __init__(self, name):
+            self._identity = Identity(owner=self, category_entry=lambda: name)
+
+    class MyCollection(CollectionBase):
+        @property
+        def parameters(self):
+            return []
+
+        @property
+        def as_cif(self) -> str:
+            return ''
+
+    c = MyCollection(item_type=Item)
+    a = Item('a')
+    b = Item('b')
+    c['a'] = a
+    c['b'] = b
+    assert c['a'] is a and c['b'] is b
+    a2 = Item('a')
+    c['a'] = a2
+    assert c['a'] is a2 and len(list(c.keys())) == 2
+    del c['b']
+    assert list(c.names) == ['a']
diff --git a/tests/unit/easydiffraction/core/test_datablock.py b/tests/unit/easydiffraction/core/test_datablock.py
new file mode 100644
index 00000000..30ce174b
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_datablock.py
@@ -0,0 +1,73 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_datablock_collection_add_and_filters_with_real_parameters():
+    from easydiffraction.core.category import CategoryItem
+    from easydiffraction.core.datablock import DatablockCollection
+    from easydiffraction.core.datablock import DatablockItem
+    from easydiffraction.core.parameters import Parameter
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+
+    class Cat(CategoryItem):
+        def __init__(self):
+            super().__init__()
+            self._identity.category_code = 'cat'
+            self._identity.category_entry_name = 'e1'
+            # real Parameters
+            self._p1 = Parameter(
+                name='p1',
+                description='',
+                value_spec=AttributeSpec(value=1.0, type_=DataTypes.NUMERIC, default=0.0),
+                units='',
+                cif_handler=CifHandler(names=['_cat.p1']),
+            )
+            self._p2 = Parameter(
+                name='p2',
+                description='',
+                value_spec=AttributeSpec(value=2.0, type_=DataTypes.NUMERIC, default=0.0),
+                units='',
+                cif_handler=CifHandler(names=['_cat.p2']),
+            )
+            # Make p2 constrained and not free
+            self._p2._constrained = True
+            self._p2._free = False
+            # Mark p1 free to be included in free_parameters
+            self._p1.free = True
+
+        @property
+        def p1(self):
+            return self._p1
+
+        @property
+        def p2(self):
+            return self._p2
+
+    class Block(DatablockItem):
+        def __init__(self, name):
+            super().__init__()
+            # set datablock entry name
+            self._identity.datablock_entry_name = lambda: name
+            # include the category as attribute so DatablockItem.parameters picks them up
+            self._cat = Cat()
+
+        @property
+        def cat(self):
+            return self._cat
+
+    coll = DatablockCollection(item_type=Block)
+    a = Block('A')
+    b = Block('B')
+    coll._add(a)
+    coll._add(b)
+    # parameters collection aggregates from both blocks (p1 & p2 each)
+    params = coll.parameters
+    assert len(params) == 4
+    # fittable excludes constrained parameters
+    fittable = coll.fittable_parameters
+    assert all(isinstance(p, Parameter) for p in fittable)
+    assert len(fittable) == 2  # only p1 from each block
+    # free is subset of fittable where free=True (true for p1)
+    free_params = coll.free_parameters
+    assert free_params == fittable
diff --git a/tests/unit/easydiffraction/core/test_diagnostic.py b/tests/unit/easydiffraction/core/test_diagnostic.py
new file mode 100644
index 00000000..ffb11457
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_diagnostic.py
@@ -0,0 +1,33 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+from easydiffraction.core.diagnostic import Diagnostics
+
+
+class DummyLogger:
+    def __init__(self):
+        self.last = None
+
+    def error(self, message, exc_type):
+        self.last = ('error', message, exc_type)
+
+    def debug(self, message):
+        self.last = ('debug', message)
+
+
+def test_diagnostics_error_and_debug_monkeypatch(monkeypatch: pytest.MonkeyPatch):
+    dummy = DummyLogger()
+    # Patch module-level log used by Diagnostics
+    import easydiffraction.core.diagnostic as diag_mod
+
+    monkeypatch.setattr(diag_mod, 'log', dummy, raising=True)
+
+    Diagnostics.no_value('x', default=1)
+    assert dummy.last[0] == 'debug'
+
+    Diagnostics.type_mismatch('x', value=3, expected_type=int)
+    kind, msg, exc = dummy.last
+    assert kind == 'error'
+    assert issubclass(exc, TypeError)
diff --git a/tests/unit/easydiffraction/core/test_factory.py b/tests/unit/easydiffraction/core/test_factory.py
new file mode 100644
index 00000000..040232ca
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_factory.py
@@ -0,0 +1,29 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_module_import():
+    import easydiffraction.core.factory as MUT
+
+    expected_module_name = 'easydiffraction.core.factory'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_validate_args_valid_and_invalid():
+    import easydiffraction.core.factory as MUT
+
+    specs = [
+        {'required': ['a'], 'optional': ['b']},
+        {'required': ['x', 'y'], 'optional': []},
+    ]
+    # valid: only required
+    MUT.FactoryBase._validate_args({'a'}, specs, 'Thing')
+    # valid: required + optional subset
+    MUT.FactoryBase._validate_args({'a', 'b'}, specs, 'Thing')
+    MUT.FactoryBase._validate_args({'x', 'y'}, specs, 'Thing')
+    # invalid: unknown key
+    with pytest.raises(ValueError):
+        MUT.FactoryBase._validate_args({'a', 'c'}, specs, 'Thing')
diff --git a/tests/unit/easydiffraction/core/test_guard.py b/tests/unit/easydiffraction/core/test_guard.py
new file mode 100644
index 00000000..9f9e9a90
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_guard.py
@@ -0,0 +1,53 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_guard_allows_only_declared_public_properties_and_links_parent(monkeypatch):
+    from easydiffraction.core.guard import GuardedBase
+
+    class Child(GuardedBase):
+        @property
+        def parameters(self):
+            return []
+
+        @property
+        def as_cif(self) -> str:
+            return ''
+
+        @property
+        def value(self):
+            return getattr(self, '_value', 0)
+
+        @value.setter
+        def value(self, v):
+            self._assign_attr('_value', v)
+
+    class Parent(GuardedBase):
+        def __init__(self):
+            super().__init__()
+            self._child = Child()
+
+        @property
+        def child(self):
+            return self._child
+
+        @property
+        def parameters(self):
+            return []
+
+        @property
+        def as_cif(self) -> str:
+            return ''
+
+    p = Parent()
+    # Writable property on child should set and link parent
+    p.child.value = 3
+    assert p.child.value == 3
+    # Private assign links parent automatically
+    assert p.child._parent is p
+
+    # Unknown attribute should raise AttributeError under current logging mode
+    with pytest.raises(AttributeError):
+        p.child.unknown_attr = 1
diff --git a/tests/unit/easydiffraction/core/test_identity.py b/tests/unit/easydiffraction/core/test_identity.py
new file mode 100644
index 00000000..1093e872
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_identity.py
@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_identity_direct_and_parent_resolution():
+    from easydiffraction.core.identity import Identity
+
+    class Node:
+        def __init__(self, name=None, parent=None):
+            self._identity = Identity(owner=self, category_code=name)
+            if parent is not None:
+                self._parent = parent
+
+    parent = Node(name='cat')
+    child = Node(parent=parent)
+    assert parent._identity.category_code == 'cat'
+    assert child._identity.category_code == 'cat'
+
+
+def test_identity_cycle_safe_resolution():
+    from easydiffraction.core.identity import Identity
+
+    class Node:
+        def __init__(self):
+            self._identity = Identity(owner=self)
+
+    a = Node()
+    b = Node()
+    a._parent = b
+    b._parent = a
+    assert a._identity.category_code is None
diff --git a/tests/unit/easydiffraction/core/test_parameters.py b/tests/unit/easydiffraction/core/test_parameters.py
new file mode 100644
index 00000000..31325ff6
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_parameters.py
@@ -0,0 +1,100 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+import pytest
+
+
+def test_module_import():
+    import easydiffraction.core.parameters as MUT
+
+    assert MUT.__name__ == 'easydiffraction.core.parameters'
+
+
+def test_string_descriptor_type_override_raises_type_error():
+    # Creating a StringDescriptor with a NUMERIC spec should raise via Diagnostics
+    from easydiffraction.core.parameters import StringDescriptor
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+
+    with pytest.raises(TypeError):
+        StringDescriptor(
+            name='title',
+            value_spec=AttributeSpec(value='abc', type_=DataTypes.NUMERIC, default='x'),
+            description='Title text',
+            cif_handler=CifHandler(names=['_proj.title']),
+        )
+
+
+def test_numeric_descriptor_str_includes_units():
+    from easydiffraction.core.parameters import NumericDescriptor
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+
+    d = NumericDescriptor(
+        name='w',
+        value_spec=AttributeSpec(value=1.23, type_=DataTypes.NUMERIC, default=0.0),
+        units='deg',
+        cif_handler=CifHandler(names=['_x.w']),
+    )
+    s = str(d)
+    assert s.startswith('<') and s.endswith('>') and 'deg' in s and 'w' in s
+
+
+def test_parameter_string_repr_and_as_cif_and_flags():
+    from easydiffraction.core.parameters import Parameter
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+
+    p = Parameter(
+        name='a',
+        value_spec=AttributeSpec(value=2.5, type_=DataTypes.NUMERIC, default=0.0),
+        units='A',
+        cif_handler=CifHandler(names=['_param.a']),
+    )
+    # Update extra attributes
+    p.uncertainty = 0.1
+    p.free = True
+
+    s = str(p)
+    assert '± 0.1' in s and 'A' in s and '(free=True)' in s
+
+    # CIF line is `<tag> <value>`
+    assert p.as_cif == '_param.a   2.5000'
+
+    # CifHandler uid is owner's unique_name (parameter name here)
+    assert p._cif_handler.uid == p.unique_name == 'a'
+
+
+def test_parameter_uncertainty_must_be_non_negative():
+    from easydiffraction.core.parameters import Parameter
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+
+    p = Parameter(
+        name='b',
+        value_spec=AttributeSpec(value=1.0, type_=DataTypes.NUMERIC, default=0.0),
+        cif_handler=CifHandler(names=['_param.b']),
+    )
+    with pytest.raises(TypeError):
+        p.uncertainty = -0.5
+
+
+def test_parameter_fit_bounds_assign_and_read():
+    from easydiffraction.core.parameters import Parameter
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.io.cif.handler import CifHandler
+
+    p = Parameter(
+        name='c',
+        value_spec=AttributeSpec(value=0.0, type_=DataTypes.NUMERIC, default=0.0),
+        cif_handler=CifHandler(names=['_param.c']),
+    )
+    p.fit_min = -1.0
+    p.fit_max = 10.0
+    assert np.isclose(p.fit_min, -1.0) and np.isclose(p.fit_max, 10.0)
diff --git a/tests/unit/easydiffraction/core/test_singletons.py b/tests/unit/easydiffraction/core/test_singletons.py
new file mode 100644
index 00000000..96faecf8
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_singletons.py
@@ -0,0 +1,12 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_uid_map_handler_rejects_non_descriptor():
+    from easydiffraction.core.singletons import UidMapHandler
+
+    h = UidMapHandler.get()
+    with pytest.raises(TypeError):
+        h.add_to_uid_map(object())
diff --git a/tests/unit/easydiffraction/core/test_validation.py b/tests/unit/easydiffraction/core/test_validation.py
new file mode 100644
index 00000000..4a07121a
--- /dev/null
+++ b/tests/unit/easydiffraction/core/test_validation.py
@@ -0,0 +1,65 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.core.validation as MUT
+
+    expected_module_name = 'easydiffraction.core.validation'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_type_validator_accepts_and_rejects(monkeypatch):
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.utils.logging import log
+
+    # So that errors do not raise in test process
+    log.configure(reaction=log.Reaction.WARN)
+
+    spec = AttributeSpec(type_=DataTypes.STRING, default='abc')
+    # valid
+    expected = 'xyz'
+    actual = spec.validated('xyz', name='p')
+    assert expected == actual
+    # invalid -> fallback to default
+    expected_fallback = 'abc'
+    actual_fallback = spec.validated(10, name='p')
+    assert expected_fallback == actual_fallback
+
+
+def test_range_validator_bounds(monkeypatch):
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.core.validation import RangeValidator
+    from easydiffraction.utils.logging import log
+
+    log.configure(reaction=log.Reaction.WARN)
+    spec = AttributeSpec(
+        type_=DataTypes.NUMERIC, default=1.0, content_validator=RangeValidator(ge=0, le=2)
+    )
+    # inside range
+    expected = 1.5
+    actual = spec.validated(1.5, name='p')
+    assert expected == actual
+    # outside -> fallback default
+    expected_fallback = 1.0
+    actual_fallback = spec.validated(5.0, name='p')
+    assert expected_fallback == actual_fallback
+
+
+def test_membership_and_regex_validators(monkeypatch):
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import MembershipValidator
+    from easydiffraction.core.validation import RegexValidator
+    from easydiffraction.utils.logging import log
+
+    log.configure(reaction=log.Reaction.WARN)
+    mspec = AttributeSpec(default='b', content_validator=MembershipValidator(['a', 'b']))
+    assert mspec.validated('a', name='m') == 'a'
+    # reject -> fallback default
+    assert mspec.validated('c', name='m') == 'b'
+
+    rspec = AttributeSpec(default='a1', content_validator=RegexValidator(r'^[a-z]\d$'))
+    assert rspec.validated('b2', name='r') == 'b2'
+    assert rspec.validated('BAD', name='r') == 'a1'
diff --git a/tests/unit/easydiffraction/crystallography/test_crystallography.py b/tests/unit/easydiffraction/crystallography/test_crystallography.py
new file mode 100644
index 00000000..46bb1538
--- /dev/null
+++ b/tests/unit/easydiffraction/crystallography/test_crystallography.py
@@ -0,0 +1,9 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.crystallography.crystallography as MUT
+
+    expected_module_name = 'easydiffraction.crystallography.crystallography'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
diff --git a/tests/unit/easydiffraction/crystallography/test_space_groups.py b/tests/unit/easydiffraction/crystallography/test_space_groups.py
new file mode 100644
index 00000000..637212e3
--- /dev/null
+++ b/tests/unit/easydiffraction/crystallography/test_space_groups.py
@@ -0,0 +1,9 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.crystallography.space_groups as MUT
+
+    expected_module_name = 'easydiffraction.crystallography.space_groups'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
diff --git a/tests/unit/easydiffraction/display/plotters/test_ascii.py b/tests/unit/easydiffraction/display/plotters/test_ascii.py
new file mode 100644
index 00000000..7aab6219
--- /dev/null
+++ b/tests/unit/easydiffraction/display/plotters/test_ascii.py
@@ -0,0 +1,23 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_module_import():
+    import easydiffraction.display.plotters.ascii as MUT
+
+    expected_module_name = 'easydiffraction.display.plotters.ascii'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_ascii_plotter_plot_minimal(capsys):
+    from easydiffraction.display.plotters.ascii import AsciiPlotter
+
+    x = np.array([0.0, 1.0, 2.0])
+    y = np.array([1.0, 2.0, 3.0])
+    p = AsciiPlotter()
+    p.plot(x=x, y_series=[y], labels=['meas'], axes_labels=['x', 'y'], title='T', height=5)
+    out = capsys.readouterr().out
+    assert 'Displaying data for selected x-range' in out
diff --git a/tests/unit/easydiffraction/display/plotters/test_base.py b/tests/unit/easydiffraction/display/plotters/test_base.py
new file mode 100644
index 00000000..df2ab68a
--- /dev/null
+++ b/tests/unit/easydiffraction/display/plotters/test_base.py
@@ -0,0 +1,39 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import importlib
+import types
+import sys
+
+
+def test_module_import():
+    import easydiffraction.display.plotters.base as MUT
+
+    expected_module_name = 'easydiffraction.display.plotters.base'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_default_engine_switches_with_notebook(monkeypatch):
+    from easydiffraction.display.plotting import PlotterEngineEnum
+
+    # Simulate running in a Jupyter kernel
+    mod = types.ModuleType('IPython')
+    mod.get_ipython = lambda: types.SimpleNamespace(config={'IPKernelApp': True})
+    monkeypatch.setitem(sys.modules, 'IPython', mod)
+    assert PlotterEngineEnum.default().value == 'plotly'
+
+    # Now simulate non-notebook environment
+    mod2 = types.ModuleType('IPython')
+    mod2.get_ipython = lambda: None
+    monkeypatch.setitem(sys.modules, 'IPython', mod2)
+    assert PlotterEngineEnum.default().value == 'asciichartpy'
+
+
+def test_default_axes_labels_keys_present():
+    import easydiffraction.display.plotters.base as pb
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+    assert (ScatteringTypeEnum.BRAGG, BeamModeEnum.CONSTANT_WAVELENGTH) in pb.DEFAULT_AXES_LABELS
+    assert (ScatteringTypeEnum.BRAGG, BeamModeEnum.TIME_OF_FLIGHT) in pb.DEFAULT_AXES_LABELS
diff --git a/tests/unit/easydiffraction/display/plotters/test_plotly.py b/tests/unit/easydiffraction/display/plotters/test_plotly.py
new file mode 100644
index 00000000..41701d22
--- /dev/null
+++ b/tests/unit/easydiffraction/display/plotters/test_plotly.py
@@ -0,0 +1,87 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.display.plotters.plotly as MUT
+
+    expected_module_name = 'easydiffraction.display.plotters.plotly'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_get_trace_and_plot(monkeypatch):
+    import easydiffraction.display.plotters.plotly as pp
+
+    # Arrange: force non-PyCharm branch and stub fig.show/HTML/display so nothing opens
+    monkeypatch.setattr(pp, 'in_pycharm', lambda: False)
+
+    shown = {'count': 0}
+
+    class DummyFig:
+        def update_xaxes(self, **kwargs):
+            pass
+
+        def update_yaxes(self, **kwargs):
+            pass
+
+        def show(self, **kwargs):
+            shown['count'] += 1
+
+    # Patch go.Scatter and go.Figure to minimal dummies
+    class DummyScatter:
+        def __init__(self, **kwargs):
+            self.kwargs = kwargs
+
+    class DummyGO:
+        class Scatter(DummyScatter):
+            pass
+
+        class Figure(DummyFig):
+            def __init__(self, data=None, layout=None):
+                self.data = data
+                self.layout = layout
+
+        class Layout:
+            def __init__(self, **kwargs):
+                self.kwargs = kwargs
+
+    class DummyPIO:
+        @staticmethod
+        def to_html(fig, include_plotlyjs=None, full_html=None, config=None):
+            return '<div>plot</div>'
+
+    dummy_display_calls = {'count': 0}
+
+    def dummy_display(obj):
+        dummy_display_calls['count'] += 1
+
+    class DummyHTML:
+        def __init__(self, html):
+            self.html = html
+
+    monkeypatch.setattr(pp, 'go', DummyGO)
+    monkeypatch.setattr(pp, 'pio', DummyPIO)
+    monkeypatch.setattr(pp, 'display', dummy_display)
+    monkeypatch.setattr(pp, 'HTML', DummyHTML)
+
+    plotter = pp.PlotlyPlotter()
+
+    # Exercise _get_trace
+    x = [0, 1, 2]
+    y = [1, 2, 3]
+    trace = plotter._get_trace(x, y, label='calc')
+    assert hasattr(trace, 'kwargs')
+    assert trace.kwargs['x'] == x and trace.kwargs['y'] == y
+
+    # Exercise plot (non-PyCharm, display path)
+    plotter.plot(
+        x,
+        y_series=[y],
+        labels=['calc'],
+        axes_labels=['x', 'y'],
+        title='t',
+        height=None,
+    )
+
+    # One HTML display call expected
+    assert dummy_display_calls['count'] == 1 or shown['count'] == 1
diff --git a/tests/unit/easydiffraction/display/test_plotting.py b/tests/unit/easydiffraction/display/test_plotting.py
new file mode 100644
index 00000000..ac6b05c4
--- /dev/null
+++ b/tests/unit/easydiffraction/display/test_plotting.py
@@ -0,0 +1,144 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.display.plotting as MUT
+
+    expected_module_name = 'easydiffraction.display.plotting'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_plotter_configuration_and_engine_switch(capsys):
+    from easydiffraction.display.plotting import Plotter
+
+    p = Plotter()
+    # show config prints a table
+    p.show_config()
+    out1 = capsys.readouterr().out
+    assert 'Current plotter configuration' in out1
+
+    # show supported engines prints a table (now via base RendererBase title)
+    p.show_supported_engines()
+    out2 = capsys.readouterr().out
+    # assert 'Supported plotter engines' in out2
+    assert 'Supported engines' in out2
+
+    # Switch engine to its current value (no-op, but exercise setter)
+    cur = p.engine
+    p.engine = cur
+    # And to an unsupported engine (prints error and leaves engine unchanged)
+    p.engine = '___not_supported___'
+    assert p.engine == cur
+
+    # Supported engines include both known backends
+    p.show_supported_engines()
+    out3 = capsys.readouterr().out
+    assert 'asciichartpy' in out3 or 'plotly' in out3
+
+
+def test_plotter_factory_supported_and_unsupported():
+    from easydiffraction.display.plotting import PlotterFactory
+
+    # Supported engine creates a backend instance
+    obj = PlotterFactory.create('asciichartpy')
+    assert obj is not None
+
+    # Unsupported engine should raise ValueError (unified policy)
+    try:
+        PlotterFactory.create('nope')
+        assert False, 'Expected ValueError for unsupported engine name'
+    except ValueError:
+        pass
+
+
+def test_plotter_error_paths_and_filtering(capsys):
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+    from easydiffraction.display.plotting import Plotter
+
+    class Ptn:
+        def __init__(self, x=None, meas=None, calc=None, d=None):
+            self.x = x
+            self.meas = meas
+            self.calc = calc
+            self.d = d if d is not None else x
+
+    class ExptType:
+        def __init__(self):
+            self.scattering_type = type('S', (), {'value': ScatteringTypeEnum.BRAGG})
+            self.beam_mode = type('B', (), {'value': BeamModeEnum.CONSTANT_WAVELENGTH})
+
+    p = Plotter()
+
+    # Error paths (now log errors via console; messages are printed)
+    p.plot_meas(Ptn(x=None, meas=None), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No data available for experiment E' in out
+
+    p.plot_meas(Ptn(x=[1], meas=None), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No measured data available for experiment E' in out
+
+    p.plot_calc(Ptn(x=None, calc=None), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No data available for experiment E' in out
+
+    p.plot_calc(Ptn(x=[1], calc=None), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No calculated data available for experiment E' in out
+
+    p.plot_meas_vs_calc(Ptn(x=None), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No data available for experiment E' in out
+    p.plot_meas_vs_calc(Ptn(x=[1], meas=None, calc=[1]), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No measured data available for experiment E' in out
+    p.plot_meas_vs_calc(Ptn(x=[1], meas=[1], calc=None), 'E', ExptType())
+    out = capsys.readouterr().out
+    assert 'No calculated data available for experiment E' in out
+    # TODO: Update assertions with new logging-based error handling
+    #  in the above line and elsewhere as needed.
+
+    # Filtering
+    import numpy as np
+
+    p.x_min, p.x_max = 0.5, 1.5
+    arr = np.array([0.0, 1.0, 2.0])
+    filt = p._filtered_y_array(arr, arr, None, None)
+    assert np.allclose(filt, np.array([1.0]))
+
+
+def test_plotter_routes_to_ascii_plotter(monkeypatch):
+    import numpy as np
+
+    import easydiffraction.display.plotters.ascii as ascii_mod
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+    from easydiffraction.display.plotting import Plotter
+
+    called = {}
+
+    def fake_plot(self, x, y_series, labels, axes_labels, title, height=None):
+        called['labels'] = tuple(labels)
+        called['axes'] = tuple(axes_labels)
+        called['title'] = title
+
+    monkeypatch.setattr(ascii_mod.AsciiPlotter, 'plot', fake_plot)
+
+    class Ptn:
+        def __init__(self):
+            self.x = np.array([0.0, 1.0])
+            self.meas = np.array([1.0, 2.0])
+            self.d = self.x
+
+    class ExptType:
+        def __init__(self):
+            self.scattering_type = type('S', (), {'value': ScatteringTypeEnum.BRAGG})
+            self.beam_mode = type('B', (), {'value': BeamModeEnum.CONSTANT_WAVELENGTH})
+
+    p = Plotter()
+    p.engine = 'asciichartpy'  # ensure AsciiPlotter
+    p.plot_meas(Ptn(), 'E', ExptType())
+    assert called['labels'] == ('meas',)
+    assert 'Measured data' in called['title']
diff --git a/tests/unit/easydiffraction/experiments/categories/background/test_base.py b/tests/unit/easydiffraction/experiments/categories/background/test_base.py
new file mode 100644
index 00000000..fc6a5eef
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/background/test_base.py
@@ -0,0 +1,61 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_background_base_minimal_impl_and_collection_cif():
+    from easydiffraction.core.category import CategoryItem
+    from easydiffraction.core.collection import CollectionBase
+    from easydiffraction.core.parameters import Parameter
+    from easydiffraction.core.validation import AttributeSpec
+    from easydiffraction.core.validation import DataTypes
+    from easydiffraction.experiments.categories.background.base import BackgroundBase
+    from easydiffraction.io.cif.handler import CifHandler
+
+    class ConstantBackground(CategoryItem):
+        def __init__(self, name: str, value: float):
+            # CategoryItem doesn't define __init__; call GuardedBase via super()
+            super().__init__()
+            self._identity.category_code = 'background'
+            self._identity.category_entry_name = name
+            self._level = Parameter(
+                name='level',
+                value_spec=AttributeSpec(value=value, type_=DataTypes.NUMERIC, default=0.0),
+                cif_handler=CifHandler(names=['_bkg.level']),
+            )
+
+        def calculate(self, x_data):
+            return np.full_like(np.asarray(x_data), fill_value=self._level.value, dtype=float)
+
+        def show(self):
+            # No-op for tests
+            return None
+
+    class BackgroundCollection(BackgroundBase):
+        def __init__(self):
+            # Initialize underlying collection with the item type
+            CollectionBase.__init__(self, item_type=ConstantBackground)
+
+        def calculate(self, x_data):
+            x = np.asarray(x_data)
+            total = np.zeros_like(x, dtype=float)
+            for item in self.values():
+                total += item.calculate(x)
+            return total
+
+        def show(self) -> None:  # pragma: no cover - trivial
+            return None
+
+    coll = BackgroundCollection()
+    a = ConstantBackground('a', 1.0)
+    coll.add('a', 1.0)
+    coll.add('b', 2.0)
+
+    # calculate sums two backgrounds externally (out of scope), here just verify item.calculate
+    x = np.array([0.0, 1.0, 2.0])
+    assert np.allclose(a.calculate(x), [1.0, 1.0, 1.0])
+
+    # CIF of collection is loop with header tag and two rows
+    cif = coll.as_cif
+    assert 'loop_' in cif and '_bkg.level' in cif and '1.0' in cif and '2.0' in cif
diff --git a/tests/unit/easydiffraction/experiments/categories/background/test_chebyshev.py b/tests/unit/easydiffraction/experiments/categories/background/test_chebyshev.py
new file mode 100644
index 00000000..1db96812
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/background/test_chebyshev.py
@@ -0,0 +1,31 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_chebyshev_background_calculate_and_cif():
+    from types import SimpleNamespace
+
+    from easydiffraction.experiments.categories.background.chebyshev import (
+        ChebyshevPolynomialBackground,
+    )
+
+    # Create mock parent with data
+    x = np.linspace(0.0, 1.0, 5)
+    mock_data = SimpleNamespace(x=x, _bkg=None)
+    mock_data._set_bkg = lambda y: setattr(mock_data, '_bkg', y)
+    mock_parent = SimpleNamespace(data=mock_data)
+
+    cb = ChebyshevPolynomialBackground()
+    object.__setattr__(cb, '_parent', mock_parent)
+
+    # Empty background -> zeros
+    cb._update()
+    assert np.allclose(mock_data._bkg, 0.0)
+
+    # Add two terms and verify CIF contains expected tags
+    cb.add(order=0, coef=1.0)
+    cb.add(order=1, coef=0.5)
+    cif = cb.as_cif
+    assert '_pd_background.Chebyshev_order' in cif and '_pd_background.Chebyshev_coef' in cif
diff --git a/tests/unit/easydiffraction/experiments/categories/background/test_enums.py b/tests/unit/easydiffraction/experiments/categories/background/test_enums.py
new file mode 100644
index 00000000..a7d3b757
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/background/test_enums.py
@@ -0,0 +1,11 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_background_enum_default_and_descriptions():
+    import easydiffraction.experiments.categories.background.enums as MUT
+
+    assert MUT.BackgroundTypeEnum.default() == MUT.BackgroundTypeEnum.LINE_SEGMENT
+    assert (
+        MUT.BackgroundTypeEnum.LINE_SEGMENT.description() == 'Linear interpolation between points'
+    )
+    assert MUT.BackgroundTypeEnum.CHEBYSHEV.description() == 'Chebyshev polynomial background'
diff --git a/tests/unit/easydiffraction/experiments/categories/background/test_factory.py b/tests/unit/easydiffraction/experiments/categories/background/test_factory.py
new file mode 100644
index 00000000..0a282157
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/background/test_factory.py
@@ -0,0 +1,24 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_background_factory_default_and_errors():
+    from easydiffraction.experiments.categories.background.enums import BackgroundTypeEnum
+    from easydiffraction.experiments.categories.background.factory import BackgroundFactory
+
+    # Default should produce a LineSegmentBackground
+    obj = BackgroundFactory.create()
+    assert obj.__class__.__name__.endswith('LineSegmentBackground')
+
+    # Explicit type
+    obj2 = BackgroundFactory.create(BackgroundTypeEnum.CHEBYSHEV)
+    assert obj2.__class__.__name__.endswith('ChebyshevPolynomialBackground')
+
+    # Unsupported enum (fake) should raise ValueError
+    class FakeEnum:
+        value = 'x'
+
+    with pytest.raises(ValueError):
+        BackgroundFactory.create(FakeEnum)  # type: ignore[arg-type]
diff --git a/tests/unit/easydiffraction/experiments/categories/background/test_line_segment.py b/tests/unit/easydiffraction/experiments/categories/background/test_line_segment.py
new file mode 100644
index 00000000..e25bbfee
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/background/test_line_segment.py
@@ -0,0 +1,39 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_line_segment_background_calculate_and_cif():
+    from types import SimpleNamespace
+
+    from easydiffraction.experiments.categories.background.line_segment import (
+        LineSegmentBackground,
+    )
+
+    # Create mock parent with data
+    x = np.array([0.0, 1.0, 2.0])
+    mock_data = SimpleNamespace(x=x, _bkg=None)
+    mock_data._set_bkg = lambda y: setattr(mock_data, '_bkg', y)
+    mock_parent = SimpleNamespace(data=mock_data)
+
+    bkg = LineSegmentBackground()
+    object.__setattr__(bkg, '_parent', mock_parent)
+
+    # No points -> zeros
+    bkg._update()
+    assert np.allclose(mock_data._bkg, [0.0, 0.0, 0.0])
+
+    # Add two points -> linear interpolation
+    bkg.add(id='1', x=0.0, y=0.0)
+    bkg.add(id='2', x=2.0, y=4.0)
+    bkg._update()
+    assert np.allclose(mock_data._bkg, [0.0, 2.0, 4.0])
+
+    # CIF loop has correct header and rows
+    cif = bkg.as_cif
+    assert (
+        'loop_' in cif
+        and '_pd_background.line_segment_X' in cif
+        and '_pd_background.line_segment_intensity' in cif
+    )
diff --git a/tests/unit/easydiffraction/experiments/categories/instrument/test_base.py b/tests/unit/easydiffraction/experiments/categories/instrument/test_base.py
new file mode 100644
index 00000000..52ec4d30
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/instrument/test_base.py
@@ -0,0 +1,12 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_instrument_base_sets_category_code():
+    from easydiffraction.experiments.categories.instrument.base import InstrumentBase
+
+    class DummyInstr(InstrumentBase):
+        def __init__(self):
+            super().__init__()
+
+    d = DummyInstr()
+    assert d._identity.category_code == 'instrument'
diff --git a/tests/unit/easydiffraction/experiments/categories/instrument/test_cwl.py b/tests/unit/easydiffraction/experiments/categories/instrument/test_cwl.py
new file mode 100644
index 00000000..9898df52
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/instrument/test_cwl.py
@@ -0,0 +1,12 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.experiments.categories.instrument.cwl import CwlInstrument
+
+
+def test_cwl_instrument_parameters_settable():
+    instr = CwlInstrument()
+    instr.setup_wavelength = 2.0
+    instr.calib_twotheta_offset = 0.1
+    assert instr.setup_wavelength.value == 2.0
+    assert instr.calib_twotheta_offset.value == 0.1
diff --git a/tests/unit/easydiffraction/experiments/categories/instrument/test_factory.py b/tests/unit/easydiffraction/experiments/categories/instrument/test_factory.py
new file mode 100644
index 00000000..35023d8c
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/instrument/test_factory.py
@@ -0,0 +1,37 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_instrument_factory_default_and_errors():
+    try:
+        from easydiffraction.experiments.categories.instrument.factory import InstrumentFactory
+        from easydiffraction.experiments.experiment.enums import BeamModeEnum
+        from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+    except ImportError as e:  # pragma: no cover - environment-specific circular import
+        pytest.skip(f'InstrumentFactory import triggers circular import in this context: {e}')
+        return
+
+    inst = InstrumentFactory.create()  # defaults
+    assert inst.__class__.__name__ in {'CwlInstrument', 'TofInstrument'}
+
+    # Valid combinations
+    inst2 = InstrumentFactory.create(ScatteringTypeEnum.BRAGG, BeamModeEnum.CONSTANT_WAVELENGTH)
+    assert inst2.__class__.__name__ == 'CwlInstrument'
+    inst3 = InstrumentFactory.create(ScatteringTypeEnum.BRAGG, BeamModeEnum.TIME_OF_FLIGHT)
+    assert inst3.__class__.__name__ == 'TofInstrument'
+
+    # Invalid scattering type
+    class FakeST:
+        pass
+
+    with pytest.raises(ValueError):
+        InstrumentFactory.create(FakeST, BeamModeEnum.CONSTANT_WAVELENGTH)  # type: ignore[arg-type]
+
+    # Invalid beam mode
+    class FakeBM:
+        pass
+
+    with pytest.raises(ValueError):
+        InstrumentFactory.create(ScatteringTypeEnum.BRAGG, FakeBM)  # type: ignore[arg-type]
diff --git a/tests/unit/easydiffraction/experiments/categories/instrument/test_tof.py b/tests/unit/easydiffraction/experiments/categories/instrument/test_tof.py
new file mode 100644
index 00000000..73008da4
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/instrument/test_tof.py
@@ -0,0 +1,44 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_tof_instrument_defaults_and_setters_and_parameters_and_cif():
+    from easydiffraction.experiments.categories.instrument.tof import TofInstrument
+
+    inst = TofInstrument()
+
+    # Defaults
+    assert np.isclose(inst.setup_twotheta_bank.value, 150.0)
+    assert np.isclose(inst.calib_d_to_tof_offset.value, 0.0)
+    assert np.isclose(inst.calib_d_to_tof_linear.value, 10000.0)
+    assert np.isclose(inst.calib_d_to_tof_quad.value, -0.00001)
+    assert np.isclose(inst.calib_d_to_tof_recip.value, 0.0)
+
+    # Setters
+    inst.setup_twotheta_bank = 160.0
+    inst.calib_d_to_tof_offset = 1.0
+    inst.calib_d_to_tof_linear = 9000.0
+    inst.calib_d_to_tof_quad = -2e-5
+    inst.calib_d_to_tof_recip = 0.5
+
+    assert np.isclose(inst.setup_twotheta_bank.value, 160.0)
+    assert np.isclose(inst.calib_d_to_tof_offset.value, 1.0)
+    assert np.isclose(inst.calib_d_to_tof_linear.value, 9000.0)
+    assert np.isclose(inst.calib_d_to_tof_quad.value, -2e-5)
+    assert np.isclose(inst.calib_d_to_tof_recip.value, 0.5)
+
+    # Parameters exposure via CategoryItem.parameters
+    names = {p.name for p in inst.parameters}
+    assert {
+        'twotheta_bank',
+        'd_to_tof_offset',
+        'd_to_tof_linear',
+        'd_to_tof_quad',
+        'd_to_tof_recip',
+    }.issubset(names)
+
+    # CIF representation of the item should include tags in separate lines
+    cif = inst.as_cif
+    assert '_instr.2theta_bank' in cif and '_instr.d_to_tof_linear' in cif
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_base.py b/tests/unit/easydiffraction/experiments/categories/peak/test_base.py
new file mode 100644
index 00000000..5499fc77
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_base.py
@@ -0,0 +1,13 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.experiments.categories.peak.base import PeakBase
+
+
+def test_peak_base_identity_code():
+    class DummyPeak(PeakBase):
+        def __init__(self):
+            super().__init__()
+
+    p = DummyPeak()
+    assert p._identity.category_code == 'peak'
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_cwl.py b/tests/unit/easydiffraction/experiments/categories/peak/test_cwl.py
new file mode 100644
index 00000000..074e99f1
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_cwl.py
@@ -0,0 +1,34 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_cwl_peak_classes_expose_expected_parameters_and_category():
+    from easydiffraction.experiments.categories.peak.cwl import CwlPseudoVoigt
+    from easydiffraction.experiments.categories.peak.cwl import CwlSplitPseudoVoigt
+    from easydiffraction.experiments.categories.peak.cwl import CwlThompsonCoxHastings
+
+    pv = CwlPseudoVoigt()
+    spv = CwlSplitPseudoVoigt()
+    tch = CwlThompsonCoxHastings()
+
+    # Category code set by PeakBase
+    for obj in (pv, spv, tch):
+        assert obj._identity.category_code == 'peak'
+
+    # Broadening parameters added by CwlBroadeningMixin
+    for obj in (pv, spv, tch):
+        names = {p.name for p in obj.parameters}
+        assert {
+            'broad_gauss_u',
+            'broad_gauss_v',
+            'broad_gauss_w',
+            'broad_lorentz_x',
+            'broad_lorentz_y',
+        }.issubset(names)
+
+    # EmpiricalAsymmetry added only for split PV
+    names_spv = {p.name for p in spv.parameters}
+    assert {'asym_empir_1', 'asym_empir_2', 'asym_empir_3', 'asym_empir_4'}.issubset(names_spv)
+
+    # FCJ asymmetry for TCH
+    names_tch = {p.name for p in tch.parameters}
+    assert {'asym_fcj_1', 'asym_fcj_2'}.issubset(names_tch)
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_cwl_mixins.py b/tests/unit/easydiffraction/experiments/categories/peak/test_cwl_mixins.py
new file mode 100644
index 00000000..99890e31
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_cwl_mixins.py
@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.experiments.categories.peak.cwl import CwlPseudoVoigt
+from easydiffraction.experiments.categories.peak.cwl import CwlSplitPseudoVoigt
+from easydiffraction.experiments.categories.peak.cwl import CwlThompsonCoxHastings
+
+
+def test_cwl_pseudo_voigt_params_exist_and_settable():
+    peak = CwlPseudoVoigt()
+    # Created by _add_constant_wavelength_broadening
+    assert peak.broad_gauss_u.name == 'broad_gauss_u'
+    peak.broad_gauss_u = 0.123
+    assert peak.broad_gauss_u.value == 0.123
+
+
+def test_cwl_split_pseudo_voigt_adds_empirical_asymmetry():
+    peak = CwlSplitPseudoVoigt()
+    # Has broadening and empirical asymmetry params
+    assert peak.broad_gauss_w.name == 'broad_gauss_w'
+    assert peak.asym_empir_1.name == 'asym_empir_1'
+    peak.asym_empir_2 = 0.345
+    assert peak.asym_empir_2.value == 0.345
+
+
+def test_cwl_tch_adds_fcj_asymmetry():
+    peak = CwlThompsonCoxHastings()
+    assert peak.asym_fcj_1.name == 'asym_fcj_1'
+    peak.asym_fcj_2 = 0.456
+    assert peak.asym_fcj_2.value == 0.456
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_factory.py b/tests/unit/easydiffraction/experiments/categories/peak/test_factory.py
new file mode 100644
index 00000000..c9f04490
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_factory.py
@@ -0,0 +1,58 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_peak_factory_default_and_combinations_and_errors():
+    from easydiffraction.experiments.categories.peak.factory import PeakFactory
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import PeakProfileTypeEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+    # Defaults -> valid object for default enums
+    p = PeakFactory.create()
+    assert p._identity.category_code == 'peak'
+
+    # Explicit valid combos
+    p1 = PeakFactory.create(
+        ScatteringTypeEnum.BRAGG,
+        BeamModeEnum.CONSTANT_WAVELENGTH,
+        PeakProfileTypeEnum.PSEUDO_VOIGT,
+    )
+    assert p1.__class__.__name__ == 'CwlPseudoVoigt'
+    p2 = PeakFactory.create(
+        ScatteringTypeEnum.BRAGG,
+        BeamModeEnum.TIME_OF_FLIGHT,
+        PeakProfileTypeEnum.PSEUDO_VOIGT_IKEDA_CARPENTER,
+    )
+    assert p2.__class__.__name__ == 'TofPseudoVoigtIkedaCarpenter'
+    p3 = PeakFactory.create(
+        ScatteringTypeEnum.TOTAL,
+        BeamModeEnum.CONSTANT_WAVELENGTH,
+        PeakProfileTypeEnum.GAUSSIAN_DAMPED_SINC,
+    )
+    assert p3.__class__.__name__ == 'TotalGaussianDampedSinc'
+
+    # Invalid scattering type
+    class FakeST:
+        pass
+
+    with pytest.raises(ValueError):
+        PeakFactory.create(
+            FakeST, BeamModeEnum.CONSTANT_WAVELENGTH, PeakProfileTypeEnum.PSEUDO_VOIGT
+        )  # type: ignore[arg-type]
+
+    # Invalid beam mode
+    class FakeBM:
+        pass
+
+    with pytest.raises(ValueError):
+        PeakFactory.create(ScatteringTypeEnum.BRAGG, FakeBM, PeakProfileTypeEnum.PSEUDO_VOIGT)  # type: ignore[arg-type]
+
+    # Invalid profile type
+    class FakePPT:
+        pass
+
+    with pytest.raises(ValueError):
+        PeakFactory.create(ScatteringTypeEnum.BRAGG, BeamModeEnum.CONSTANT_WAVELENGTH, FakePPT)  # type: ignore[arg-type]
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_tof.py b/tests/unit/easydiffraction/experiments/categories/peak/test_tof.py
new file mode 100644
index 00000000..138c824c
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_tof.py
@@ -0,0 +1,25 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.experiments.categories.peak.tof import TofPseudoVoigt
+from easydiffraction.experiments.categories.peak.tof import TofPseudoVoigtBackToBack
+from easydiffraction.experiments.categories.peak.tof import TofPseudoVoigtIkedaCarpenter
+
+
+def test_tof_pseudo_voigt_has_broadening_params():
+    peak = TofPseudoVoigt()
+    assert peak.broad_gauss_sigma_0.name == 'gauss_sigma_0'
+    peak.broad_gauss_sigma_2 = 1.23
+    assert peak.broad_gauss_sigma_2.value == 1.23
+
+
+def test_tof_back_to_back_adds_ikeda_carpenter():
+    peak = TofPseudoVoigtBackToBack()
+    assert peak.asym_alpha_0.name == 'asym_alpha_0'
+    peak.asym_alpha_1 = 0.77
+    assert peak.asym_alpha_1.value == 0.77
+
+
+def test_tof_ikeda_carpenter_has_mix_beta():
+    peak = TofPseudoVoigtIkedaCarpenter()
+    assert peak.broad_mix_beta_0.name == 'mix_beta_0'
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_tof_mixins.py b/tests/unit/easydiffraction/experiments/categories/peak/test_tof_mixins.py
new file mode 100644
index 00000000..583b8ffa
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_tof_mixins.py
@@ -0,0 +1,38 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_tof_broadening_and_asymmetry_mixins():
+    from easydiffraction.experiments.categories.peak.base import PeakBase
+    from easydiffraction.experiments.categories.peak.tof_mixins import IkedaCarpenterAsymmetryMixin
+    from easydiffraction.experiments.categories.peak.tof_mixins import TofBroadeningMixin
+
+    class TofPeak(PeakBase, TofBroadeningMixin, IkedaCarpenterAsymmetryMixin):
+        def __init__(self):
+            super().__init__()
+            self._add_time_of_flight_broadening()
+            self._add_ikeda_carpenter_asymmetry()
+
+    p = TofPeak()
+    names = {param.name for param in p.parameters}
+    # Broadening
+    assert {
+        'gauss_sigma_0',
+        'gauss_sigma_1',
+        'gauss_sigma_2',
+        'lorentz_gamma_0',
+        'lorentz_gamma_1',
+        'lorentz_gamma_2',
+        'mix_beta_0',
+        'mix_beta_1',
+    }.issubset(names)
+    # Asymmetry
+    assert {'asym_alpha_0', 'asym_alpha_1'}.issubset(names)
+
+    # Verify setters update values
+    p.broad_gauss_sigma_0 = 1.0
+    p.asym_alpha_1 = 0.5
+    assert np.isclose(p.broad_gauss_sigma_0.value, 1.0)
+    assert np.isclose(p.asym_alpha_1.value, 0.5)
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_total.py b/tests/unit/easydiffraction/experiments/categories/peak/test_total.py
new file mode 100644
index 00000000..741018be
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_total.py
@@ -0,0 +1,36 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_total_gaussian_damped_sinc_parameters_and_setters():
+    from easydiffraction.experiments.categories.peak.total import TotalGaussianDampedSinc
+
+    p = TotalGaussianDampedSinc()
+    assert p._identity.category_code == 'peak'
+    names = {param.name for param in p.parameters}
+    assert {
+        'damp_q',
+        'broad_q',
+        'cutoff_q',
+        'sharp_delta_1',
+        'sharp_delta_2',
+        'damp_particle_diameter',
+    }.issubset(names)
+
+    # Setters update values
+    p.damp_q = 0.1
+    p.broad_q = 0.2
+    p.cutoff_q = 30.0
+    p.sharp_delta_1 = 1.0
+    p.sharp_delta_2 = 2.0
+    p.damp_particle_diameter = 50.0
+
+    vals = {param.name: param.value for param in p.parameters}
+    assert np.isclose(vals['damp_q'], 0.1)
+    assert np.isclose(vals['broad_q'], 0.2)
+    assert np.isclose(vals['cutoff_q'], 30.0)
+    assert np.isclose(vals['sharp_delta_1'], 1.0)
+    assert np.isclose(vals['sharp_delta_2'], 2.0)
+    assert np.isclose(vals['damp_particle_diameter'], 50.0)
diff --git a/tests/unit/easydiffraction/experiments/categories/peak/test_total_mixins.py b/tests/unit/easydiffraction/experiments/categories/peak/test_total_mixins.py
new file mode 100644
index 00000000..c7cd6d01
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/peak/test_total_mixins.py
@@ -0,0 +1,12 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.experiments.categories.peak.total import TotalGaussianDampedSinc
+
+
+def test_total_gaussian_damped_sinc_params():
+    peak = TotalGaussianDampedSinc()
+    assert peak.damp_q.name == 'damp_q'
+    peak.damp_q = 0.12
+    assert peak.damp_q.value == 0.12
+    assert peak.broad_q.name == 'broad_q'
diff --git a/tests/unit/easydiffraction/experiments/categories/test_excluded_regions.py b/tests/unit/easydiffraction/experiments/categories/test_excluded_regions.py
new file mode 100644
index 00000000..d3241bfb
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/test_excluded_regions.py
@@ -0,0 +1,52 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+
+
+def test_excluded_regions_add_updates_datastore_and_cif():
+    from types import SimpleNamespace
+
+    from easydiffraction.experiments.categories.excluded_regions import ExcludedRegions
+
+    # Minimal fake datastore
+    full_x = np.array([0.0, 1.0, 2.0, 3.0])
+    full_meas = np.array([10.0, 11.0, 12.0, 13.0])
+    full_meas_su = np.array([1.0, 1.0, 1.0, 1.0])
+    ds = SimpleNamespace(
+        all_x=full_x,  # ExcludedRegions._update uses all_x not full_x
+        full_x=full_x,
+        full_meas=full_meas,
+        full_meas_su=full_meas_su,
+        excluded=np.zeros_like(full_x, dtype=bool),
+        x=full_x.copy(),
+        meas=full_meas.copy(),
+        meas_su=full_meas_su.copy(),
+    )
+    
+    def set_calc_status(status):
+        # _set_calc_status sets excluded to the inverse
+        ds.excluded = ~status
+        # Filter x, meas, meas_su to only include non-excluded points
+        ds.x = ds.full_x[status]
+        ds.meas = ds.full_meas[status]
+        ds.meas_su = ds.full_meas_su[status]
+    
+    ds._set_calc_status = set_calc_status
+
+    coll = ExcludedRegions()
+    # stitch in a parent with data
+    object.__setattr__(coll, '_parent', SimpleNamespace(data=ds))
+
+    coll.add(start=1.0, end=2.0)
+    # Call _update() to apply exclusions
+    coll._update()
+
+    # Second and third points excluded
+    assert np.array_equal(ds.excluded, np.array([False, True, True, False]))
+    assert np.array_equal(ds.x, np.array([0.0, 3.0]))
+    assert np.array_equal(ds.meas, np.array([10.0, 13.0]))
+
+    # CIF loop includes header tags
+    cif = coll.as_cif
+    assert 'loop_' in cif and '_excluded_region.start' in cif and '_excluded_region.end' in cif
diff --git a/tests/unit/easydiffraction/experiments/categories/test_experiment_type.py b/tests/unit/easydiffraction/experiments/categories/test_experiment_type.py
new file mode 100644
index 00000000..8a78444c
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/test_experiment_type.py
@@ -0,0 +1,36 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.experiments.categories.experiment_type as MUT
+
+    expected_module_name = 'easydiffraction.experiments.categories.experiment_type'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_experiment_type_properties_and_validation(monkeypatch):
+    from easydiffraction.experiments.categories.experiment_type import ExperimentType
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+    from easydiffraction.experiments.experiment.enums import SampleFormEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+    from easydiffraction.utils.logging import log
+
+    log.configure(reaction=log.Reaction.WARN)
+
+    et = ExperimentType(
+        sample_form=SampleFormEnum.POWDER.value,
+        beam_mode=BeamModeEnum.CONSTANT_WAVELENGTH.value,
+        radiation_probe=RadiationProbeEnum.NEUTRON.value,
+        scattering_type=ScatteringTypeEnum.BRAGG.value,
+    )
+    # getters nominal
+    assert et.sample_form.value == SampleFormEnum.POWDER.value
+    assert et.beam_mode.value == BeamModeEnum.CONSTANT_WAVELENGTH.value
+    assert et.radiation_probe.value == RadiationProbeEnum.NEUTRON.value
+    assert et.scattering_type.value == ScatteringTypeEnum.BRAGG.value
+
+    # try invalid value should fall back to previous (membership validator)
+    et.sample_form = 'invalid'
+    assert et.sample_form.value == SampleFormEnum.POWDER.value
diff --git a/tests/unit/easydiffraction/experiments/categories/test_linked_phases.py b/tests/unit/easydiffraction/experiments/categories/test_linked_phases.py
new file mode 100644
index 00000000..3f3d1b80
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/categories/test_linked_phases.py
@@ -0,0 +1,16 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_linked_phases_add_and_cif_headers():
+    from easydiffraction.experiments.categories.linked_phases import LinkedPhase
+    from easydiffraction.experiments.categories.linked_phases import LinkedPhases
+
+    lp = LinkedPhase(id='Si', scale=2.0)
+    assert lp.id.value == 'Si' and lp.scale.value == 2.0
+
+    coll = LinkedPhases()
+    coll.add(id='Si', scale=2.0)
+
+    # CIF loop header presence
+    cif = coll.as_cif
+    assert 'loop_' in cif and '_pd_phase_block.id' in cif and '_pd_phase_block.scale' in cif
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_base.py b/tests/unit/easydiffraction/experiments/experiment/test_base.py
new file mode 100644
index 00000000..0178b005
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_base.py
@@ -0,0 +1,38 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.experiments.experiment.base as MUT
+
+    expected_module_name = 'easydiffraction.experiments.experiment.base'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_pd_experiment_peak_profile_type_switch(capsys):
+    from easydiffraction.experiments.categories.experiment_type import ExperimentType
+    from easydiffraction.experiments.experiment.base import PdExperimentBase
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import PeakProfileTypeEnum
+    from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+    from easydiffraction.experiments.experiment.enums import SampleFormEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+    class ConcretePd(PdExperimentBase):
+        def _load_ascii_data_to_experiment(self, data_path: str) -> None:
+            pass
+
+    et = ExperimentType(
+        sample_form=SampleFormEnum.POWDER.value,
+        beam_mode=BeamModeEnum.CONSTANT_WAVELENGTH.value,
+        radiation_probe=RadiationProbeEnum.NEUTRON.value,
+        scattering_type=ScatteringTypeEnum.BRAGG.value,
+    )
+    ex = ConcretePd(name='ex1', type=et)
+    # valid switch using enum
+    ex.peak_profile_type = PeakProfileTypeEnum.PSEUDO_VOIGT
+    assert ex.peak_profile_type == PeakProfileTypeEnum.PSEUDO_VOIGT
+    # invalid string should warn and keep previous
+    ex.peak_profile_type = 'non-existent'
+    captured = capsys.readouterr().out
+    assert 'Unsupported' in captured or 'Unknown' in captured
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_bragg_pd.py b/tests/unit/easydiffraction/experiments/experiment/test_bragg_pd.py
new file mode 100644
index 00000000..cd96f958
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_bragg_pd.py
@@ -0,0 +1,73 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+import pytest
+
+from easydiffraction.experiments.categories.background.enums import BackgroundTypeEnum
+from easydiffraction.experiments.categories.experiment_type import ExperimentType
+from easydiffraction.experiments.experiment.bragg_pd import BraggPdExperiment
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+from easydiffraction.experiments.experiment.enums import SampleFormEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+
+def _mk_type_powder_cwl_bragg():
+    return ExperimentType(
+        sample_form=SampleFormEnum.POWDER.value,
+        beam_mode=BeamModeEnum.CONSTANT_WAVELENGTH.value,
+        radiation_probe=RadiationProbeEnum.NEUTRON.value,
+        scattering_type=ScatteringTypeEnum.BRAGG.value,
+    )
+
+
+def test_background_defaults_and_change():
+    expt = BraggPdExperiment(name='e1', type=_mk_type_powder_cwl_bragg())
+    # default background type
+    assert expt.background_type == BackgroundTypeEnum.default()
+
+    # change to a supported type
+    expt.background_type = BackgroundTypeEnum.CHEBYSHEV
+    assert expt.background_type == BackgroundTypeEnum.CHEBYSHEV
+
+    # unknown type keeps previous type and prints warnings (no raise)
+    expt.background_type = 'not-a-type'  # invalid string
+    assert expt.background_type == BackgroundTypeEnum.CHEBYSHEV
+
+
+def test_load_ascii_data_rounds_and_defaults_sy(tmp_path: pytest.TempPathFactory):
+    expt = BraggPdExperiment(name='e1', type=_mk_type_powder_cwl_bragg())
+
+    # Case 1: provide only two columns -> sy defaults to sqrt(y) and min clipped to 1.0
+    p = tmp_path / 'data2col.dat'
+    x = np.array([1.123456, 2.987654, 3.5])
+    y = np.array([0.0, 4.0, 9.0])
+    data = np.column_stack([x, y])
+    np.savetxt(p, data)
+
+    expt._load_ascii_data_to_experiment(str(p))
+
+    # x rounded to 4 decimals
+    assert np.allclose(expt.data.x, np.round(x, 4))
+    # sy = sqrt(y) with values < 1e-4 replaced by 1.0
+    expected_sy = np.sqrt(y)
+    expected_sy = np.where(expected_sy < 1e-4, 1.0, expected_sy)
+    assert np.allclose(expt.data.meas_su, expected_sy)
+    # Check that data array shapes match
+    assert len(expt.data.x) == len(x)
+
+    # Case 2: three columns provided -> sy taken from file and clipped
+    p3 = tmp_path / 'data3col.dat'
+    sy = np.array([0.0, 1e-5, 0.2])  # first two should clip to 1.0
+    data3 = np.column_stack([x, y, sy])
+    np.savetxt(p3, data3)
+    expt._load_ascii_data_to_experiment(str(p3))
+    expected_sy3 = np.where(sy < 1e-4, 1.0, sy)
+    assert np.allclose(expt.data.meas_su, expected_sy3)
+
+    # Case 3: invalid shape -> currently triggers an exception (IndexError on shape[1])
+    pinv = tmp_path / 'invalid.dat'
+    np.savetxt(pinv, np.ones((5, 1)))
+    with pytest.raises(Exception):
+        expt._load_ascii_data_to_experiment(str(pinv))
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_bragg_sc.py b/tests/unit/easydiffraction/experiments/experiment/test_bragg_sc.py
new file mode 100644
index 00000000..b4567ead
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_bragg_sc.py
@@ -0,0 +1,35 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+from easydiffraction.experiments.categories.experiment_type import ExperimentType
+from easydiffraction.experiments.experiment.bragg_sc import BraggScExperiment
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+from easydiffraction.experiments.experiment.enums import SampleFormEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+from easydiffraction.utils.logging import Logger
+
+
+def _mk_type_sc_bragg():
+    return ExperimentType(
+        sample_form=SampleFormEnum.SINGLE_CRYSTAL.value,
+        beam_mode=BeamModeEnum.CONSTANT_WAVELENGTH.value,
+        radiation_probe=RadiationProbeEnum.NEUTRON.value,
+        scattering_type=ScatteringTypeEnum.BRAGG.value,
+    )
+
+
+class _ConcreteBraggSc(BraggScExperiment):
+    def _load_ascii_data_to_experiment(self, data_path: str) -> None:
+        # Not used in this test
+        pass
+
+
+def test_init_and_placeholder_no_crash(monkeypatch: pytest.MonkeyPatch):
+    # Prevent logger from raising on attribute errors inside __init__
+    monkeypatch.setattr(Logger, '_reaction', Logger.Reaction.WARN, raising=True)
+    expt = _ConcreteBraggSc(name='sc1', type=_mk_type_sc_bragg())
+    # show_meas_chart just prints placeholder text; ensure no exception
+    expt.show_meas_chart()
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_enums.py b/tests/unit/easydiffraction/experiments/experiment/test_enums.py
new file mode 100644
index 00000000..2bcce480
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_enums.py
@@ -0,0 +1,18 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.experiments.experiment.enums as MUT
+
+    expected_module_name = 'easydiffraction.experiments.experiment.enums'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_default_enums_consistency():
+    import easydiffraction.experiments.experiment.enums as MUT
+
+    assert MUT.SampleFormEnum.default() in list(MUT.SampleFormEnum)
+    assert MUT.ScatteringTypeEnum.default() in list(MUT.ScatteringTypeEnum)
+    assert MUT.RadiationProbeEnum.default() in list(MUT.RadiationProbeEnum)
+    assert MUT.BeamModeEnum.default() in list(MUT.BeamModeEnum)
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_factory.py b/tests/unit/easydiffraction/experiments/experiment/test_factory.py
new file mode 100644
index 00000000..61492265
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_factory.py
@@ -0,0 +1,35 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+
+def test_module_import():
+    import easydiffraction.experiments.experiment.factory as MUT
+
+    expected_module_name = 'easydiffraction.experiments.experiment.factory'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_experiment_factory_create_without_data_and_invalid_combo():
+    import easydiffraction.experiments.experiment.factory as EF
+    from easydiffraction.experiments.experiment.enums import BeamModeEnum
+    from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+    from easydiffraction.experiments.experiment.enums import SampleFormEnum
+    from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+
+    ex = EF.ExperimentFactory.create(
+        name='ex1',
+        sample_form=SampleFormEnum.POWDER.value,
+        beam_mode=BeamModeEnum.CONSTANT_WAVELENGTH.value,
+        radiation_probe=RadiationProbeEnum.NEUTRON.value,
+        scattering_type=ScatteringTypeEnum.BRAGG.value,
+    )
+    # Instance should be created (BraggPdExperiment)
+    assert hasattr(ex, 'type') and ex.type.sample_form.value == SampleFormEnum.POWDER.value
+
+    # invalid combination: unexpected key
+    with pytest.raises(ValueError):
+        EF.ExperimentFactory.create(name='ex2', unexpected=True)
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_instrument_mixin.py b/tests/unit/easydiffraction/experiments/experiment/test_instrument_mixin.py
new file mode 100644
index 00000000..fc4c8d76
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_instrument_mixin.py
@@ -0,0 +1,9 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.experiments.experiment.instrument_mixin as MUT
+
+    expected_module_name = 'easydiffraction.experiments.experiment.instrument_mixin'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
diff --git a/tests/unit/easydiffraction/experiments/experiment/test_total_pd.py b/tests/unit/easydiffraction/experiments/experiment/test_total_pd.py
new file mode 100644
index 00000000..635c7b65
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/experiment/test_total_pd.py
@@ -0,0 +1,51 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+import pytest
+
+from easydiffraction.experiments.categories.experiment_type import ExperimentType
+from easydiffraction.experiments.experiment.enums import BeamModeEnum
+from easydiffraction.experiments.experiment.enums import RadiationProbeEnum
+from easydiffraction.experiments.experiment.enums import SampleFormEnum
+from easydiffraction.experiments.experiment.enums import ScatteringTypeEnum
+from easydiffraction.experiments.experiment.total_pd import TotalPdExperiment
+
+
+def _mk_type_powder_total():
+    return ExperimentType(
+        sample_form=SampleFormEnum.POWDER.value,
+        beam_mode=BeamModeEnum.CONSTANT_WAVELENGTH.value,
+        radiation_probe=RadiationProbeEnum.NEUTRON.value,
+        scattering_type=ScatteringTypeEnum.TOTAL.value,
+    )
+
+
+def test_load_ascii_data_pdf(tmp_path: pytest.TempPathFactory):
+    expt = TotalPdExperiment(name='pdf1', type=_mk_type_powder_total())
+
+    # Mock diffpy.utils.parsers.loaddata.loadData by creating a small parser module on sys.path
+    data = np.column_stack([
+        np.array([0.0, 1.0, 2.0]),
+        np.array([10.0, 11.0, 12.0]),
+        np.array([0.01, 0.02, 0.03]),
+    ])
+    f = tmp_path / 'g.dat'
+    np.savetxt(f, data)
+
+    # Try to import loadData; if diffpy isn't installed, expect ImportError
+    try:
+        has_diffpy = True
+    except Exception:
+        has_diffpy = False
+
+    if not has_diffpy:
+        with pytest.raises(ImportError):
+            expt._load_ascii_data_to_experiment(str(f))
+        return
+
+    # With diffpy available, load should succeed
+    expt._load_ascii_data_to_experiment(str(f))
+    assert np.allclose(expt.data.x, data[:, 0])
+    assert np.allclose(expt.data.meas, data[:, 1])
+    assert np.allclose(expt.data.meas_su, data[:, 2])
diff --git a/tests/unit/easydiffraction/experiments/test_experiments.py b/tests/unit/easydiffraction/experiments/test_experiments.py
new file mode 100644
index 00000000..92844bff
--- /dev/null
+++ b/tests/unit/easydiffraction/experiments/test_experiments.py
@@ -0,0 +1,40 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.experiments.experiments as MUT
+
+    expected_module_name = 'easydiffraction.experiments.experiments'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_experiments_show_and_remove(monkeypatch, capsys):
+    from easydiffraction.experiments.experiment.base import ExperimentBase
+    from easydiffraction.experiments.experiments import Experiments
+
+    class DummyType:
+        def __init__(self):
+            self.sample_form = type('E', (), {'value': 'powder'})
+            self.beam_mode = type('E', (), {'value': 'constant wavelength'})
+
+    class DummyExp(ExperimentBase):
+        def __init__(self, name='e1'):
+            super().__init__(name=name, type=DummyType())
+
+        def _load_ascii_data_to_experiment(self, data_path: str) -> None:
+            pass
+
+    exps = Experiments()
+    exps.add(experiment=DummyExp('a'))
+    exps.add(experiment=DummyExp('b'))
+    exps.show_names()
+    out = capsys.readouterr().out
+    assert 'Defined experiments' in out
+
+    # Remove by name should not raise
+    exps.remove('a')
+    # Still can show names
+    exps.show_names()
+    out2 = capsys.readouterr().out
+    assert 'Defined experiments' in out2
diff --git a/tests/unit/easydiffraction/io/cif/test_handler.py b/tests/unit/easydiffraction/io/cif/test_handler.py
new file mode 100644
index 00000000..a5bf7de2
--- /dev/null
+++ b/tests/unit/easydiffraction/io/cif/test_handler.py
@@ -0,0 +1,16 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_cif_handler_names_and_uid():
+    import easydiffraction.io.cif.handler as H
+
+    names = ['_cell.length_a', '_cell.length_b']
+    h = H.CifHandler(names=names)
+    assert h.names == names
+    assert h.uid is None
+
+    class Owner:
+        unique_name = 'db.cat.entry.param'
+
+    h.attach(Owner())
+    assert h.uid == 'db.cat.entry.param'
diff --git a/tests/unit/easydiffraction/io/cif/test_serialize.py b/tests/unit/easydiffraction/io/cif/test_serialize.py
new file mode 100644
index 00000000..d2bca3ab
--- /dev/null
+++ b/tests/unit/easydiffraction/io/cif/test_serialize.py
@@ -0,0 +1,83 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.io.cif.serialize as MUT
+
+    expected_module_name = 'easydiffraction.io.cif.serialize'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_format_value_quotes_whitespace_strings():
+    import easydiffraction.io.cif.serialize as MUT
+
+    assert MUT.format_value('a b') == '   "a b"'
+    assert MUT.format_value('ab') == '      ab'
+
+
+def test_param_to_cif_minimal():
+    import easydiffraction.io.cif.serialize as MUT
+    from easydiffraction.io.cif.handler import CifHandler
+
+    class P:
+        def __init__(self):
+            self._cif_handler = CifHandler(names=['_x.y'])  # noqa: SLF001 for tests
+            self.value = 3
+
+    p = P()
+    assert MUT.param_to_cif(p) == '_x.y   3.0000'
+
+
+def test_category_collection_to_cif_empty_and_one_row():
+    import easydiffraction.io.cif.serialize as MUT
+    from easydiffraction.core.category import CategoryCollection
+    from easydiffraction.core.category import CategoryItem
+    from easydiffraction.io.cif.handler import CifHandler
+
+    class Item(CategoryItem):
+        def __init__(self, name, value):
+            super().__init__()
+            self._identity.category_entry_name = name
+            self._p = type('P', (), {})()
+            self._p._cif_handler = CifHandler(names=['_x'])  # noqa: SLF001
+            self._p.value = value
+
+        @property
+        def parameters(self):
+            return [self._p]
+
+        @property
+        def as_cif(self) -> str:
+            return MUT.category_item_to_cif(self)
+
+    coll = CategoryCollection(item_type=Item)
+    assert MUT.category_collection_to_cif(coll) == ''
+    i = Item('n1', 5)
+    coll['n1'] = i
+    out = MUT.category_collection_to_cif(coll)
+    assert 'loop_' in out and '_x' in out and '5' in out
+
+
+def test_project_to_cif_assembles_present_sections():
+    import easydiffraction.io.cif.serialize as MUT
+
+    class Obj:
+        def __init__(self, text):
+            self._text = text
+
+        @property
+        def as_cif(self):
+            return self._text
+
+    class Project:
+        def __init__(self):
+            self.info = Obj('I')
+            self.sample_models = None
+            self.experiments = Obj('E')
+            self.analysis = None
+            self.summary = None
+
+    p = Project()
+    out = MUT.project_to_cif(p)
+    assert out == 'I\n\nE'
diff --git a/tests/unit/easydiffraction/io/cif/test_serialize_more.py b/tests/unit/easydiffraction/io/cif/test_serialize_more.py
new file mode 100644
index 00000000..21ee7b66
--- /dev/null
+++ b/tests/unit/easydiffraction/io/cif/test_serialize_more.py
@@ -0,0 +1,142 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+import pytest
+
+
+def test_datablock_item_to_cif_includes_item_and_collection():
+    import easydiffraction.io.cif.serialize as MUT
+    from easydiffraction.core.category import CategoryCollection
+    from easydiffraction.core.category import CategoryItem
+    from easydiffraction.io.cif.handler import CifHandler
+
+    class Item(CategoryItem):
+        def __init__(self, val):
+            super().__init__()
+            self._p = type('P', (), {})()
+            self._p._cif_handler = CifHandler(names=['_aa'])  # noqa: SLF001
+            self._p.value = val
+
+        @property
+        def parameters(self):
+            return [self._p]
+
+        @property
+        def as_cif(self) -> str:
+            return MUT.category_item_to_cif(self)
+
+    class DB:
+        def __init__(self):
+            self._identity = type('I', (), {'datablock_entry_name': 'block1'})()
+            # one CategoryItem-like
+            self.item = Item(42)
+            # one CategoryCollection-like
+            self.coll = CategoryCollection(item_type=Item)
+            self.coll['row1'] = Item(7)
+
+    out = MUT.datablock_item_to_cif(DB())
+    assert out.startswith('data_block1')
+    assert '_aa  42.0000' in out
+    assert 'loop_' in out and '_aa' in out and '7' in out
+
+
+def test_datablock_collection_to_cif_concatenates_blocks():
+    import easydiffraction.io.cif.serialize as MUT
+
+    class B:
+        def __init__(self, t):
+            self._t = t
+
+        @property
+        def as_cif(self):
+            return self._t
+
+    coll = {'a': B('A'), 'b': B('B')}
+    out = MUT.datablock_collection_to_cif(coll)
+    assert out == 'A\n\nB'
+
+
+def test_project_info_to_cif_contains_core_fields():
+    import easydiffraction.io.cif.serialize as MUT
+    from easydiffraction.project.project_info import ProjectInfo
+
+    info = ProjectInfo(name='p1', title='My Title', description='Some description text')
+    out = MUT.project_info_to_cif(info)
+    assert '_project.id               p1' in out
+    assert '_project.title' in out and 'My Title' in out
+    assert '_project.description' in out
+    assert '_project.created' in out and '_project.last_modified' in out
+
+
+def test_experiment_to_cif_with_and_without_data():
+    import easydiffraction.io.cif.serialize as MUT
+
+    class DS:
+        def __init__(self, text):
+            self._text = text
+
+        @property
+        def as_cif(self):
+            return self._text
+
+    class Exp:
+        def __init__(self, data_text):
+            self._identity = type('I', (), {'datablock_entry_name': 'expA'})()
+            self.datastore = DS(data_text)
+            # Minimal CategoryItem to be picked up by datablock_item_to_cif
+            from easydiffraction.core.category import CategoryItem
+            from easydiffraction.io.cif.handler import CifHandler
+
+            class Item(CategoryItem):
+                def __init__(self):
+                    super().__init__()
+                    self._p = type('P', (), {})()
+                    self._p._cif_handler = CifHandler(names=['_k'])  # noqa: SLF001
+                    self._p.value = 1
+
+                @property
+                def parameters(self):
+                    return [self._p]
+
+                @property
+                def as_cif(self):
+                    return MUT.category_item_to_cif(self)
+
+            self.item = Item()
+
+    out_with = MUT.experiment_to_cif(Exp('loop_\\n_x\\n1'))
+    # Datastore CIF no longer automatically included in experiment CIF output
+    assert out_with.startswith('data_expA')
+    # Check that item CIF is included
+    assert '_k' in out_with and '1' in out_with
+
+    out_without = MUT.experiment_to_cif(Exp(''))
+    assert out_without.startswith('data_expA') and out_without.endswith('1.0000')
+
+
+def test_analysis_to_cif_renders_all_sections():
+    import easydiffraction.io.cif.serialize as MUT
+
+    class Obj:
+        def __init__(self, t):
+            self._t = t
+
+        @property
+        def as_cif(self):
+            return self._t
+
+    class A:
+        current_calculator = 'cryspy engine'
+        current_minimizer = 'lmfit (leastsq)'
+        fit_mode = 'single'
+        aliases = Obj('ALIASES')
+        constraints = Obj('CONSTRAINTS')
+
+    out = MUT.analysis_to_cif(A())
+    lines = out.splitlines()
+    assert lines[0].startswith('_analysis.calculator_engine')
+    assert '"cryspy engine"' in lines[0]
+    assert lines[1].startswith('_analysis.fitting_engine') and '"lmfit (leastsq)"' in lines[1]
+    assert lines[2].startswith('_analysis.fit_mode') and 'single' in lines[2]
+    assert 'ALIASES' in out and 'CONSTRAINTS' in out
diff --git a/tests/unit/easydiffraction/project/test_project.py b/tests/unit/easydiffraction/project/test_project.py
new file mode 100644
index 00000000..7fb6e8d6
--- /dev/null
+++ b/tests/unit/easydiffraction/project/test_project.py
@@ -0,0 +1,9 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.project.project as MUT
+
+    expected_module_name = 'easydiffraction.project.project'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
diff --git a/tests/unit/easydiffraction/project/test_project_info.py b/tests/unit/easydiffraction/project/test_project_info.py
new file mode 100644
index 00000000..88116d81
--- /dev/null
+++ b/tests/unit/easydiffraction/project/test_project_info.py
@@ -0,0 +1,9 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.project.project_info as MUT
+
+    expected_module_name = 'easydiffraction.project.project_info'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
diff --git a/tests/unit/easydiffraction/project/test_project_load_and_summary_wrap.py b/tests/unit/easydiffraction/project/test_project_load_and_summary_wrap.py
new file mode 100644
index 00000000..8753b775
--- /dev/null
+++ b/tests/unit/easydiffraction/project/test_project_load_and_summary_wrap.py
@@ -0,0 +1,39 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_project_load_prints_and_sets_path(tmp_path, capsys):
+    from easydiffraction.project.project import Project
+
+    p = Project()
+    dir_path = tmp_path / 'pdir'
+    p.load(str(dir_path))
+    out = capsys.readouterr().out
+    assert 'Loading project' in out and str(dir_path) in out
+    # Path should be set on ProjectInfo
+    assert p.info.path == dir_path
+
+
+def test_summary_show_project_info_wraps_description(capsys):
+    from easydiffraction.summary.summary import Summary
+
+    long_desc = ' '.join(['desc'] * 50)  # long text to trigger wrapping
+
+    class Info:
+        title = 'T'
+        description = long_desc
+
+    class Project:
+        def __init__(self):
+            self.info = Info()
+
+    s = Summary(Project())
+    s.show_project_info()
+    out = capsys.readouterr().out
+    # Title and Description paragraph headers present
+    assert 'PROJECT INFO' in out
+    assert 'Title' in out
+    assert 'Description' in out
+    # Ensure multiple lines of description were printed (wrapped)
+    # Keep the exact word count and verify the presence of line breaks in the description block
+    assert out.count('desc') == 50  # all words are present exactly once
+    assert '\ndesc ' in out or ' desc\n' in out  # wrapped across lines
diff --git a/tests/unit/easydiffraction/project/test_project_save.py b/tests/unit/easydiffraction/project/test_project_save.py
new file mode 100644
index 00000000..47941f27
--- /dev/null
+++ b/tests/unit/easydiffraction/project/test_project_save.py
@@ -0,0 +1,39 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_project_save_uses_cwd_when_no_explicit_path(monkeypatch, tmp_path, capsys):
+    # Default ProjectInfo.path is cwd; ensure save writes into a temp cwd, not repo root
+    from easydiffraction.project.project import Project
+
+    monkeypatch.chdir(tmp_path)
+    p = Project()
+    p.save()
+    out = capsys.readouterr().out
+    # It should announce saving and create the three core files in cwd
+    assert 'Saving project' in out
+    assert (tmp_path / 'project.cif').exists()
+    assert (tmp_path / 'analysis.cif').exists()
+    assert (tmp_path / 'summary.cif').exists()
+
+
+def test_project_save_as_writes_core_files(tmp_path, monkeypatch):
+    from easydiffraction.analysis.analysis import Analysis
+    from easydiffraction.project.project import Project
+    from easydiffraction.project.project_info import ProjectInfo
+    from easydiffraction.summary.summary import Summary
+
+    # Monkeypatch as_cif producers to avoid heavy internals
+    monkeypatch.setattr(ProjectInfo, 'as_cif', lambda self: 'info')
+    monkeypatch.setattr(Analysis, 'as_cif', lambda self: 'analysis')
+    monkeypatch.setattr(Summary, 'as_cif', lambda self: 'summary')
+
+    p = Project(name='p1')
+    target = tmp_path / 'proj_dir'
+    p.save_as(str(target))
+
+    # Assert expected files/dirs exist
+    assert (target / 'project.cif').is_file()
+    assert (target / 'analysis.cif').is_file()
+    assert (target / 'summary.cif').is_file()
+    assert (target / 'sample_models').is_dir()
+    assert (target / 'experiments').is_dir()
diff --git a/tests/unit/easydiffraction/sample_models/categories/test_atom_sites.py b/tests/unit/easydiffraction/sample_models/categories/test_atom_sites.py
new file mode 100644
index 00000000..172769c4
--- /dev/null
+++ b/tests/unit/easydiffraction/sample_models/categories/test_atom_sites.py
@@ -0,0 +1,28 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.sample_models.categories.atom_sites import AtomSite
+from easydiffraction.sample_models.categories.atom_sites import AtomSites
+
+
+def test_atom_site_defaults_and_setters():
+    a = AtomSite(label='Si1', type_symbol='Si')
+    a.fract_x = 0.1
+    a.fract_y = 0.2
+    a.fract_z = 0.3
+    a.occupancy = 0.9
+    a.b_iso = 1.5
+    a.adp_type = 'Biso'
+    assert a.label.value == 'Si1'
+    assert a.type_symbol.value == 'Si'
+    assert (a.fract_x.value, a.fract_y.value, a.fract_z.value) == (0.1, 0.2, 0.3)
+    assert a.occupancy.value == 0.9
+    assert a.b_iso.value == 1.5
+    assert a.adp_type.value == 'Biso'
+
+
+def test_atom_sites_collection_adds_by_label():
+    sites = AtomSites()
+    sites.add(label='O1', type_symbol='O')
+    assert 'O1' in sites.names
+    assert sites['O1'].type_symbol.value == 'O'
diff --git a/tests/unit/easydiffraction/sample_models/categories/test_cell.py b/tests/unit/easydiffraction/sample_models/categories/test_cell.py
new file mode 100644
index 00000000..aade56db
--- /dev/null
+++ b/tests/unit/easydiffraction/sample_models/categories/test_cell.py
@@ -0,0 +1,43 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+
+def test_cell_defaults_and_overrides():
+    from easydiffraction.sample_models.categories.cell import Cell
+
+    c = Cell()
+    # Defaults from AttributeSpec in implementation
+    assert pytest.approx(c.length_a.value) == 10.0
+    assert pytest.approx(c.length_b.value) == 10.0
+    assert pytest.approx(c.length_c.value) == 10.0
+    assert pytest.approx(c.angle_alpha.value) == 90.0
+    assert pytest.approx(c.angle_beta.value) == 90.0
+    assert pytest.approx(c.angle_gamma.value) == 90.0
+
+    # Override through constructor
+    c2 = Cell(length_a=12.3, angle_beta=100.0)
+    assert pytest.approx(c2.length_a.value) == 12.3
+    assert pytest.approx(c2.angle_beta.value) == 100.0
+
+
+def test_cell_setters_apply_validation_and_units():
+    from easydiffraction.sample_models.categories.cell import Cell
+
+    c = Cell()
+    # Set valid values within range
+    c.length_a = 5.5
+    c.angle_gamma = 120.0
+    assert pytest.approx(c.length_a.value) == 5.5
+    assert pytest.approx(c.angle_gamma.value) == 120.0
+    # Check units are preserved on parameter objects
+    assert c.length_a.units == 'Å'
+    assert c.angle_gamma.units == 'deg'
+
+
+def test_cell_identity_category_code():
+    from easydiffraction.sample_models.categories.cell import Cell
+
+    c = Cell()
+    assert c._identity.category_code == 'cell'
diff --git a/tests/unit/easydiffraction/sample_models/categories/test_space_group.py b/tests/unit/easydiffraction/sample_models/categories/test_space_group.py
new file mode 100644
index 00000000..02136c14
--- /dev/null
+++ b/tests/unit/easydiffraction/sample_models/categories/test_space_group.py
@@ -0,0 +1,15 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.sample_models.categories.space_group import SpaceGroup
+
+
+def test_space_group_name_updates_it_code():
+    sg = SpaceGroup()
+    # default name 'P 1' should set code to the first available
+    default_code = sg.it_coordinate_system_code.value
+    sg.name_h_m = 'P 1'
+    assert sg.it_coordinate_system_code.value == sg._it_coordinate_system_code_allowed_values[0]
+    # changing name resets the code again
+    sg.name_h_m = 'P -1'
+    assert sg.it_coordinate_system_code.value == sg._it_coordinate_system_code_allowed_values[0]
diff --git a/tests/unit/easydiffraction/sample_models/sample_model/test_base.py b/tests/unit/easydiffraction/sample_models/sample_model/test_base.py
new file mode 100644
index 00000000..941e0af9
--- /dev/null
+++ b/tests/unit/easydiffraction/sample_models/sample_model/test_base.py
@@ -0,0 +1,12 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
+
+
+def test_sample_model_base_str_and_properties():
+    m = SampleModelBase(name='m1')
+    m.name = 'm2'
+    assert m.name == 'm2'
+    s = str(m)
+    assert 'SampleModelBase' in s or '<' in s
diff --git a/tests/unit/easydiffraction/sample_models/sample_model/test_factory.py b/tests/unit/easydiffraction/sample_models/sample_model/test_factory.py
new file mode 100644
index 00000000..f6d7e694
--- /dev/null
+++ b/tests/unit/easydiffraction/sample_models/sample_model/test_factory.py
@@ -0,0 +1,16 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+from easydiffraction.sample_models.sample_model.factory import SampleModelFactory
+
+
+def test_create_minimal_by_name():
+    m = SampleModelFactory.create(name='abc')
+    assert m.name == 'abc'
+
+
+def test_invalid_arg_combo_raises():
+    with pytest.raises(ValueError):
+        SampleModelFactory.create(name=None, cif_path=None)
diff --git a/tests/unit/easydiffraction/sample_models/test_sample_models.py b/tests/unit/easydiffraction/sample_models/test_sample_models.py
new file mode 100644
index 00000000..014336b8
--- /dev/null
+++ b/tests/unit/easydiffraction/sample_models/test_sample_models.py
@@ -0,0 +1,6 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import pytest
+
+from easydiffraction.sample_models.sample_models import SampleModels
diff --git a/tests/unit/easydiffraction/summary/test_summary.py b/tests/unit/easydiffraction/summary/test_summary.py
new file mode 100644
index 00000000..6a25c3ff
--- /dev/null
+++ b/tests/unit/easydiffraction/summary/test_summary.py
@@ -0,0 +1,60 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_summary_as_cif_returns_placeholder_string():
+    from easydiffraction.summary.summary import Summary
+
+    class P:
+        pass
+
+    s = Summary(P())
+    out = s.as_cif()
+    assert isinstance(out, str)
+    assert 'To be added' in out
+
+
+def test_summary_show_report_prints_sections(capsys):
+    from easydiffraction.summary.summary import Summary
+
+    class Info:
+        title = 'T'
+        description = ''
+
+    class Project:
+        def __init__(self):
+            self.info = Info()
+            self.sample_models = {}  # empty mapping to exercise loops safely
+            self.experiments = {}  # empty mapping to exercise loops safely
+
+            class A:
+                current_calculator = 'cryspy'
+                current_minimizer = 'lmfit'
+
+                class R:
+                    reduced_chi_square = 0.0
+
+                fit_results = R()
+
+            self.analysis = A()
+
+    s = Summary(Project())
+    s.show_report()
+    out = capsys.readouterr().out
+    # Verify that all top-level sections appear (titles are uppercased by formatter)
+    assert 'PROJECT INFO' in out
+    assert 'CRYSTALLOGRAPHIC DATA' in out
+    assert 'EXPERIMENTS' in out
+    assert 'FITTING' in out
+
+
+
+
+
+
+
+def test_module_import():
+    import easydiffraction.summary.summary as MUT
+
+    expected_module_name = 'easydiffraction.summary.summary'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
diff --git a/tests/unit/easydiffraction/summary/test_summary_details.py b/tests/unit/easydiffraction/summary/test_summary_details.py
new file mode 100644
index 00000000..fb32eafc
--- /dev/null
+++ b/tests/unit/easydiffraction/summary/test_summary_details.py
@@ -0,0 +1,135 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_summary_crystallographic_and_experimental_sections(capsys):
+    from easydiffraction.summary.summary import Summary
+
+    # Build a minimal sample model stub that exposes required attributes
+    class Val:
+        def __init__(self, v):
+            self.value = v
+
+    class CellParam:
+        def __init__(self, name, value):
+            self.name = name
+            self.value = value
+
+    class Model:
+        def __init__(self):
+            self.name = 'phaseA'
+            self.space_group = type('SG', (), {'name_h_m': Val('P 1')})()
+
+            class Cell:
+                @property
+                def parameters(self_inner):
+                    return [
+                        CellParam('length_a', 5.4321),
+                        CellParam('angle_alpha', 90.0),
+                    ]
+
+            self.cell = Cell()
+
+            class Site:
+                def __init__(self, label, typ, x, y, z, occ, biso):
+                    self.label = Val(label)
+                    self.type_symbol = Val(typ)
+                    self.fract_x = Val(x)
+                    self.fract_y = Val(y)
+                    self.fract_z = Val(z)
+                    self.occupancy = Val(occ)
+                    self.b_iso = Val(biso)
+
+            self.atom_sites = [Site('Na1', 'Na', 0.1, 0.2, 0.3, 1.0, 0.5)]
+
+    # Minimal experiment stub with instrument and peak info
+    class Expt:
+        def __init__(self):
+            self.name = 'exp1'
+            typ = type(
+                'T',
+                (),
+                {
+                    'sample_form': Val('powder'),
+                    'radiation_probe': Val('neutron'),
+                    'beam_mode': Val('constant wavelength'),
+                },
+            )
+            self.type = typ()
+
+            class Instr:
+                def __init__(self):
+                    self.setup_wavelength = Val(1.23456)
+                    self.calib_twotheta_offset = Val(0.12345)
+
+                def _public_attrs(self):
+                    return ['setup_wavelength', 'calib_twotheta_offset']
+
+            self.instrument = Instr()
+            self.peak_profile_type = 'pseudo-Voigt'
+
+            class Peak:
+                def __init__(self):
+                    self.broad_gauss_u = Val(0.1)
+                    self.broad_gauss_v = Val(0.2)
+                    self.broad_gauss_w = Val(0.3)
+                    self.broad_lorentz_x = Val(0.4)
+                    self.broad_lorentz_y = Val(0.5)
+
+                def _public_attrs(self):
+                    return [
+                        'broad_gauss_u',
+                        'broad_gauss_v',
+                        'broad_gauss_w',
+                        'broad_lorentz_x',
+                        'broad_lorentz_y',
+                    ]
+
+            self.peak = Peak()
+
+        def _public_attrs(self):
+            return ['instrument', 'peak_profile_type', 'peak']
+
+    class Info:
+        title = 'T'
+        description = ''
+
+    class Project:
+        def __init__(self):
+            self.info = Info()
+            self.sample_models = {'phaseA': Model()}
+            self.experiments = {'exp1': Expt()}
+
+            class A:
+                current_calculator = 'cryspy'
+                current_minimizer = 'lmfit'
+
+                class R:
+                    reduced_chi_square = 1.23
+
+                fit_results = R()
+
+            self.analysis = A()
+
+    s = Summary(Project())
+    # Run both sections separately for targeted assertions
+    s.show_crystallographic_data()
+    s.show_experimental_data()
+    out = capsys.readouterr().out
+
+    # Crystallographic section
+    assert 'CRYSTALLOGRAPHIC DATA' in out
+    assert '🧩 phaseA' in out
+    assert 'Space group' in out and 'P 1' in out
+    # Cell parameter names are shortened by the implementation (e.g., 'length_a' -> 'a')
+    assert 'Cell parameters' in out and ' a ' in out and ' alpha ' in out
+    assert 'Atom sites' in out and 'Na1' in out and 'Na' in out
+
+    # Experimental section
+    assert 'EXPERIMENTS' in out
+    assert '🔬 exp1' in out
+    assert 'powder' in out and 'neutron' in out and 'constant wavelength' in out
+    assert 'Wavelength' in out and '1.23456'[:6] in out
+    assert '2θ offset' in out and '0.12345'[:6] in out
+    assert 'Profile type' in out and 'pseudo-Voigt' in out
+    assert 'Peak broadening (Gaussian)' in out
+    assert 'Peak broadening (Lorentzian)' in out
diff --git a/tests/unit/easydiffraction/test___init__.py b/tests/unit/easydiffraction/test___init__.py
new file mode 100644
index 00000000..05daac78
--- /dev/null
+++ b/tests/unit/easydiffraction/test___init__.py
@@ -0,0 +1,68 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+# Focused tests for package __init__: lazy attributes and error path
+import importlib
+from pathlib import Path
+
+import pytest
+
+
+def test_lazy_attributes_resolve_and_are_accessible():
+    import easydiffraction as ed
+
+    # Access a few lazy attributes; just ensure they exist and are callable/class-like
+    assert hasattr(ed, 'Project')
+    assert hasattr(ed, 'ExperimentFactory')
+    assert hasattr(ed, 'SampleModelFactory')
+
+    # Access utility functions from utils via lazy getattr
+    assert callable(ed.show_version)
+    assert callable(ed.get_value_from_xye_header)
+
+    # Import once to exercise __getattr__; subsequent access should be cached by Python
+    _ = ed.Project
+    _ = ed.ExperimentFactory
+
+
+def test___getattr__unknown_raises_attribute_error():
+    ed = importlib.import_module('easydiffraction')
+    with pytest.raises(AttributeError):
+        ed.DefinitelyUnknownAttribute
+
+
+def test_lazy_functions_execute_with_monkeypatch(monkeypatch, capsys, tmp_path):
+    import easydiffraction as ed
+    import easydiffraction.utils.utils as utils
+
+    # 1) list_tutorials uses utils.fetch_tutorial_list → monkeypatch there
+    monkeypatch.setattr(utils, 'fetch_tutorial_list', lambda: ['a.ipynb', 'b.ipynb'])
+    ed.list_tutorials()  # calls into utils.list_tutorials
+    out = capsys.readouterr().out
+    assert 'Tutorials available for easydiffraction' in out
+
+    # 2) download_data should consult index and call pooch.retrieve without network
+    import easydiffraction.utils.utils as utils
+
+    fake_index = {
+        '12': {
+            'url': 'https://example.com/data.xye',
+            'hash': 'sha256:...',
+            'description': 'Demo dataset',
+        }
+    }
+    monkeypatch.setattr(utils, '_fetch_data_index', lambda: fake_index)
+
+    calls: dict = {}
+
+    def fake_retrieve(**kwargs):
+        calls['kwargs'] = kwargs
+        file_path = Path(kwargs['path']) / kwargs['fname']
+        file_path.write_text('dummy data')
+        return str(file_path)
+
+    monkeypatch.setattr(utils.pooch, 'retrieve', fake_retrieve)
+
+    result = utils.download_data(id=12, destination=str(tmp_path), overwrite=True)
+    assert Path(result).exists()
+    assert calls['kwargs']['url'] == 'https://example.com/data.xye'
diff --git a/tests/unit/easydiffraction/test___main__.py b/tests/unit/easydiffraction/test___main__.py
new file mode 100644
index 00000000..6db1dc35
--- /dev/null
+++ b/tests/unit/easydiffraction/test___main__.py
@@ -0,0 +1,54 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+from typer.testing import CliRunner
+
+runner = CliRunner()
+
+
+def test_module_import():
+    import easydiffraction.__main__ as MUT
+
+    expected_module_name = 'easydiffraction.__main__'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_cli_version_invokes_show_version(monkeypatch, capsys):
+    import easydiffraction as ed
+    import easydiffraction.__main__ as main_mod
+
+    called = {'ok': False}
+
+    def fake_show_version():
+        print('VERSION_OK')
+        called['ok'] = True
+
+    monkeypatch.setattr(ed, 'show_version', fake_show_version)
+    result = runner.invoke(main_mod.app, ['--version'])
+    assert result.exit_code == 0
+    assert called['ok']
+    assert 'VERSION_OK' in result.stdout
+
+
+def test_cli_help_shows_and_exits_zero():
+    import easydiffraction.__main__ as main_mod
+
+    result = runner.invoke(main_mod.app, ['--help'])
+    assert result.exit_code == 0
+    assert 'EasyDiffraction command-line interface' in result.stdout
+
+
+def test_cli_subcommands_call_utils(monkeypatch):
+    import easydiffraction as ed
+    import easydiffraction.__main__ as main_mod
+
+    logs = []
+    monkeypatch.setattr(ed, 'list_tutorials', lambda: logs.append('LIST'))
+    monkeypatch.setattr(ed, 'fetch_tutorials', lambda: logs.append('FETCH'))
+
+    res1 = runner.invoke(main_mod.app, ['list-tutorials'])
+    res2 = runner.invoke(main_mod.app, ['fetch-tutorials'])
+
+    assert res1.exit_code == 0 and res2.exit_code == 0
+    assert logs == ['LIST', 'FETCH']
diff --git a/tests/unit/easydiffraction/utils/test_logging.py b/tests/unit/easydiffraction/utils/test_logging.py
new file mode 100644
index 00000000..25b43b24
--- /dev/null
+++ b/tests/unit/easydiffraction/utils/test_logging.py
@@ -0,0 +1,25 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+def test_module_import():
+    import easydiffraction.utils.logging as MUT
+
+    expected_module_name = 'easydiffraction.utils.logging'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_logger_configure_and_warn_reaction():
+    import easydiffraction.utils.logging as MUT
+
+    # configure to WARN so .error produces warnings and not exceptions
+    MUT.log.configure(reaction=MUT.log.Reaction.WARN)
+    MUT.log.debug('d')
+    MUT.log.info('i')
+    MUT.log.warning('w')
+    MUT.log.error('e')
+    # switch mode/level
+    MUT.log.set_level(MUT.log.Level.INFO)
+    MUT.log.set_mode(MUT.log.Mode.VERBOSE)
+    # nothing to assert; absence of exception is success
+    assert True
diff --git a/tests/unit/easydiffraction/utils/test_utils.py b/tests/unit/easydiffraction/utils/test_utils.py
new file mode 100644
index 00000000..816a324e
--- /dev/null
+++ b/tests/unit/easydiffraction/utils/test_utils.py
@@ -0,0 +1,200 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+import numpy as np
+import pytest
+
+
+
+def test_module_import():
+    import easydiffraction.utils.utils as MUT
+
+    expected_module_name = 'easydiffraction.utils.utils'
+    actual_module_name = MUT.__name__
+    assert expected_module_name == actual_module_name
+
+
+def test_twotheta_to_d_scalar_and_array():
+    import easydiffraction.utils.utils as MUT
+
+    wavelength = 1.54
+    # scalar
+    expected_scalar = wavelength / (2 * np.sin(np.radians(30 / 2)))
+    actual_scalar = MUT.twotheta_to_d(30.0, wavelength)
+    assert np.isclose(expected_scalar, actual_scalar)
+    # array
+    twotheta = np.array([10.0, 20.0, 40.0])
+    expected_array = wavelength / (2 * np.sin(np.radians(twotheta / 2)))
+    actual_array = MUT.twotheta_to_d(twotheta, wavelength)
+    assert np.allclose(expected_array, actual_array)
+
+
+def test_tof_to_d_linear_case():
+    import easydiffraction.utils.utils as MUT
+
+    tof = np.array([10.0, 20.0, 30.0])
+    offset, linear, quad = 2.0, 4.0, 0.0
+    expected = (tof - offset) / linear
+    actual = MUT.tof_to_d(tof, offset, linear, quad)
+    assert np.allclose(expected, actual)
+
+
+def test_tof_to_d_quadratic_case_smallest_positive_root():
+    import easydiffraction.utils.utils as MUT
+
+    # Model: TOF = quad * d^2, with offset=linear=0
+    quad = 2.0
+    tof = np.array([2.0, 8.0, 18.0])  # roots: sqrt(tof/quad)
+    expected = np.sqrt(tof / quad)
+    actual = MUT.tof_to_d(tof, offset=0.0, linear=0.0, quad=quad)
+    assert np.allclose(expected, actual, equal_nan=False)
+
+
+def test_str_to_ufloat_parsing_nominal_and_esd():
+    import easydiffraction.utils.utils as MUT
+
+    u = MUT.str_to_ufloat('3.566(2)')
+    expected = np.array([3.566, 0.002])
+    actual = np.array([u.nominal_value, u.std_dev])
+    assert np.allclose(expected, actual)
+
+
+def test_str_to_ufloat_no_esd_defaults_nan():
+    import easydiffraction.utils.utils as MUT
+
+    u = MUT.str_to_ufloat('1.23')
+    expected_value = 1.23
+    actual_value = u.nominal_value
+    # uncertainty is NaN when not specified
+    assert np.isclose(expected_value, actual_value) and np.isnan(u.std_dev)
+
+
+def test_get_value_from_xye_header(tmp_path):
+    import easydiffraction.utils.utils as MUT
+
+    text = 'DIFC = 123.45 two_theta = 67.89\nrest of file\n'
+    p = tmp_path / 'file.xye'
+    p.write_text(text)
+    expected_difc = 123.45
+    expected_two_theta = 67.89
+    actual = np.array([
+        MUT.get_value_from_xye_header(p, 'DIFC'),
+        MUT.get_value_from_xye_header(p, 'two_theta'),
+    ])
+    expected = np.array([expected_difc, expected_two_theta])
+    assert np.allclose(expected, actual)
+
+
+def test_validate_url_rejects_non_http_https():
+    import easydiffraction.utils.utils as MUT
+
+    with pytest.raises(ValueError):
+        MUT._validate_url('ftp://example.com/file')
+
+
+def test_is_github_ci_env_true(monkeypatch):
+    import easydiffraction.utils.environment as env
+
+    monkeypatch.setenv('GITHUB_ACTIONS', 'true')
+    expected = True
+    actual = env.in_github_ci()
+    assert expected == actual
+
+
+def test_package_version_missing_package_returns_none():
+    import easydiffraction.utils.utils as MUT
+
+    expected = None
+    actual = MUT.package_version('__definitely_not_installed__')
+    assert expected == actual
+
+
+def test_is_notebook_false_in_plain_env(monkeypatch):
+    import easydiffraction.utils.environment as env
+
+    # Ensure no IPython and not PyCharm
+    monkeypatch.setenv('PYCHARM_HOSTED', '', prepend=False)
+    assert env.in_jupyter() is False
+
+
+def test_is_pycharm_and_is_colab(monkeypatch):
+    import easydiffraction.utils.environment as env
+
+    # PyCharm
+    monkeypatch.setenv('PYCHARM_HOSTED', '1')
+    assert env.in_pycharm() is True
+    # Colab detection when module is absent -> False
+    assert env.in_colab() is False
+
+
+def test_render_table_terminal_branch(capsys, monkeypatch):
+    import easydiffraction.utils.utils as MUT
+    # Ensure non-notebook rendering; on CI/default env it's terminal anyway.
+    MUT.render_table(
+        columns_data=[[1, 2], [3, 4]],
+        columns_alignment=['left', 'left'],
+        columns_headers=['A', 'B'],
+    )
+    out = capsys.readouterr().out
+    # fancy_outline uses box-drawing characters; accept a couple of expected ones
+    assert ('╒' in out and '╕' in out) or ('┌' in out and '┐' in out)
+
+
+def test_fetch_tutorial_list_handles_missing_release(monkeypatch):
+    import easydiffraction.utils.utils as MUT
+
+    # Force _get_release_info to return None twice (tag & latest) → empty list
+    monkeypatch.setattr(MUT, '_get_release_info', lambda tag: None)
+    notebooks = MUT.fetch_tutorial_list()
+    assert notebooks == []
+
+
+def test_fetch_tutorial_list_no_asset(monkeypatch):
+    import easydiffraction.utils.utils as MUT
+
+    release_info = {'assets': []}
+    monkeypatch.setattr(MUT, '_get_release_info', lambda tag: release_info)
+    notebooks = MUT.fetch_tutorial_list()
+    assert notebooks == []
+
+
+def test_show_version_prints(capsys, monkeypatch):
+    import easydiffraction.utils.utils as MUT
+
+    monkeypatch.setattr(MUT, 'package_version', lambda name: '1.2.3+abc')
+    MUT.show_version()
+    out = capsys.readouterr().out
+    assert '1.2.3+abc' in out
+
+
+def test_extract_notebooks_from_asset_with_inmemory_zip(monkeypatch):
+    import io
+    import zipfile
+
+    import easydiffraction.utils.utils as MUT
+
+    # Build an in-memory zip with .ipynb files
+    mem = io.BytesIO()
+    with zipfile.ZipFile(mem, 'w') as zf:
+        zf.writestr('dir/a.ipynb', '{}')
+        zf.writestr('b.ipynb', '{}')
+        zf.writestr('c.txt', 'x')
+    data = mem.getvalue()
+
+    class DummyResp:
+        def __init__(self, b):
+            self._b = b
+
+        def read(self):
+            return self._b
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, *args):
+            return False
+
+    monkeypatch.setattr(MUT, '_safe_urlopen', lambda url: DummyResp(data))
+    out = MUT._extract_notebooks_from_asset('https://example.com/tut.zip')
+    # returns sorted basenames of .ipynb
+    assert out == ['a.ipynb', 'b.ipynb']
diff --git a/tests/unit/experiments/collections/test_background.py b/tests/unit/experiments/collections/test_background.py
deleted file mode 100644
index 0e6fc527..00000000
--- a/tests/unit/experiments/collections/test_background.py
+++ /dev/null
@@ -1,106 +0,0 @@
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.experiments.collections.background import BackgroundFactory
-from easydiffraction.experiments.collections.background import ChebyshevPolynomialBackground
-from easydiffraction.experiments.collections.background import LineSegmentBackground
-from easydiffraction.experiments.collections.background import Point
-from easydiffraction.experiments.collections.background import PolynomialTerm
-
-
-def test_point_initialization():
-    point = Point(x=1.0, y=2.0)
-    assert point.x.value == 1.0
-    assert point.y.value == 2.0
-    assert point.cif_category_key == 'pd_background'
-    assert point.category_key == 'background'
-    assert point._entry_id == '1.0'
-
-
-def test_polynomial_term_initialization():
-    term = PolynomialTerm(order=2, coef=3.0)
-    assert term.order.value == 2
-    assert term.coef.value == 3.0
-    assert term.cif_category_key == 'pd_background'
-    assert term.category_key == 'background'
-    assert term._entry_id == '2'
-
-
-def test_line_segment_background_add_and_calculate():
-    background = LineSegmentBackground()
-    background.add(1.0, 2.0)
-    background.add(3.0, 4.0)
-
-    x_data = np.array([1.0, 2.0, 3.0])
-    y_data = background.calculate(x_data)
-
-    assert np.array_equal(y_data, np.array([2.0, 3.0, 4.0]))
-
-
-def test_line_segment_background_calculate_no_points():
-    background = LineSegmentBackground()
-    x_data = np.array([1.0, 2.0, 3.0])
-
-    with patch('builtins.print') as mock_print:
-        y_data = background.calculate(x_data)
-        assert np.array_equal(y_data, np.zeros_like(x_data))
-        assert 'No background points found. Setting background to zero.' in str(mock_print.call_args.args[0])
-
-
-def test_line_segment_background_show(capsys):
-    background = LineSegmentBackground()
-    background.add(1.0, 2.0)
-    background.add(3.0, 4.0)
-
-    background.show()
-    captured = capsys.readouterr()
-    assert 'Line-segment background points' in captured.out
-
-
-def test_chebyshev_polynomial_background_add_and_calculate():
-    background = ChebyshevPolynomialBackground()
-    background.add(order=0, coef=1.0)
-    background.add(order=1, coef=2.0)
-
-    x_data = np.array([0.0, 0.5, 1.0])
-    y_data = background.calculate(x_data)
-
-    # Expected values are calculated using the Chebyshev polynomial formula
-    u = (x_data - x_data.min()) / (x_data.max() - x_data.min()) * 2 - 1
-    expected_y = 1.0 + 2.0 * u
-    assert np.allclose(y_data, expected_y)
-
-
-def test_chebyshev_polynomial_background_calculate_no_terms():
-    background = ChebyshevPolynomialBackground()
-    x_data = np.array([0.0, 0.5, 1.0])
-
-    with patch('builtins.print') as mock_print:
-        y_data = background.calculate(x_data)
-        assert np.array_equal(y_data, np.zeros_like(x_data))
-        assert 'No background points found. Setting background to zero.' in str(mock_print.call_args.args[0])
-
-
-def test_chebyshev_polynomial_background_show(capsys):
-    background = ChebyshevPolynomialBackground()
-    background.add(order=0, coef=1.0)
-    background.add(order=1, coef=2.0)
-
-    background.show()
-    captured = capsys.readouterr()
-    assert 'Chebyshev polynomial background terms' in captured.out
-
-
-def test_background_factory_create_supported_types():
-    line_segment_background = BackgroundFactory.create('line-segment')
-    assert isinstance(line_segment_background, LineSegmentBackground)
-
-    chebyshev_background = BackgroundFactory.create('chebyshev polynomial')
-    assert isinstance(chebyshev_background, ChebyshevPolynomialBackground)
-
-
-def test_background_factory_create_unsupported_type():
-    with pytest.raises(ValueError, match="Unsupported background type: 'unsupported'.*"):
-        BackgroundFactory.create('unsupported')
diff --git a/tests/unit/experiments/collections/test_datastore.py b/tests/unit/experiments/collections/test_datastore.py
deleted file mode 100644
index ab1b870a..00000000
--- a/tests/unit/experiments/collections/test_datastore.py
+++ /dev/null
@@ -1,181 +0,0 @@
-import numpy as np
-import pytest
-
-from easydiffraction.experiments.datastore import DatastoreFactory
-from easydiffraction.experiments.datastore import PowderDatastore
-from easydiffraction.experiments.datastore import SingleCrystalDatastore
-
-
-def test_powder_datastore_init():
-    ds = PowderDatastore(beam_mode='constant wavelength')
-    assert ds.meas is None
-    assert ds.meas_su is None
-    assert ds.calc is None
-
-    assert ds.beam_mode == 'constant wavelength'
-    assert ds.x is None
-    assert ds.d is None
-    assert ds.bkg is None
-
-
-def test_powder_datastore_calc():
-    ds = PowderDatastore()
-    with pytest.raises(TypeError):
-        ds.calc = [1, 2, 3]  # Should raise TypeError because list is not allowed
-    arr = np.array([1, 2, 3])
-    ds.calc = arr
-    assert np.array_equal(ds.calc, arr)
-
-
-def test_single_crystal_datastore_init():
-    ds = SingleCrystalDatastore()
-    assert ds.meas is None
-    assert ds.meas_su is None
-    assert ds.calc is None
-
-    assert ds.sin_theta_over_lambda is None
-    assert ds.index_h is None
-    assert ds.index_k is None
-    assert ds.index_l is None
-
-
-def test_datastore_factory_create_powder():
-    ds = DatastoreFactory.create(sample_form='powder')
-    assert isinstance(ds, PowderDatastore)
-
-
-def test_datastore_factory_create_single_crystal():
-    ds = DatastoreFactory.create(sample_form='single crystal')
-    assert isinstance(ds, SingleCrystalDatastore)
-
-
-def test_datastore_factory_create_powder_time_of_flight():
-    ds = DatastoreFactory.create(sample_form='powder', beam_mode='time-of-flight')
-    assert isinstance(ds, PowderDatastore)
-    assert ds.beam_mode == 'time-of-flight'
-
-
-def test_datastore_factory_create_powder_constant_wavelength():
-    ds = DatastoreFactory.create(sample_form='powder', beam_mode='constant wavelength')
-    assert isinstance(ds, PowderDatastore)
-    assert ds.beam_mode == 'constant wavelength'
-
-
-def test_datastore_factory_create_invalid_sample_form():
-    with pytest.raises(ValueError, match="Unsupported sample form: 'invalid'"):
-        DatastoreFactory.create(sample_form='invalid')
-
-
-def test_datastore_factory_create_invalid_beam_mode():
-    with pytest.raises(ValueError, match="Unsupported beam mode: 'invalid'"):
-        DatastoreFactory.create(beam_mode='invalid')
-
-
-def test_datastore_factory_cif_mapping_powder_time_of_flight():
-    ds = DatastoreFactory.create(
-        sample_form='powder',
-        beam_mode='time-of-flight',
-    )
-    desired = {
-        'x': '_pd_meas.time_of_flight',
-        'meas': '_pd_meas.intensity_total',
-        'meas_su': '_pd_meas.intensity_total_su',
-    }
-    actual = ds._cif_mapping()
-    assert actual == desired
-
-
-def test_datastore_factory_cif_mapping_powder_constant_wavelength():
-    ds = DatastoreFactory.create(
-        sample_form='powder',
-        beam_mode='constant wavelength',
-    )
-    desired = {
-        'x': '_pd_meas.2theta_scan',
-        'meas': '_pd_meas.intensity_total',
-        'meas_su': '_pd_meas.intensity_total_su',
-    }
-    actual = ds._cif_mapping()
-    assert actual == desired
-
-
-def test_datastore_factory_cif_mapping_single_crystal():
-    ds = DatastoreFactory.create(
-        sample_form='single crystal',
-        beam_mode='constant wavelength',
-    )
-    desired = {
-        'index_h': '_refln.index_h',
-        'index_k': '_refln.index_k',
-        'index_l': '_refln.index_l',
-        'meas': '_refln.intensity_meas',
-        'meas_su': '_refln.intensity_meas_su',
-    }
-    actual = ds._cif_mapping()
-    assert actual == desired
-
-
-def test_powder_as_cif_constant_wavelength():
-    ds = PowderDatastore(beam_mode='constant wavelength')
-    ds.x = np.array([1.0, 2.0, 3.0])
-    ds.meas = np.array([10.0, 20.0, 30.0])
-    ds.meas_su = np.array([0.1, 0.2, 0.3])
-    ds.bkg = np.array([0.5, 0.5, 0.5])
-    cif = ds.as_cif()
-    assert '_pd_meas.2theta_scan' in cif
-    assert '_pd_meas.intensity_total' in cif
-    assert '_pd_meas.intensity_total_su' in cif
-
-
-def test_powder_as_cif_time_of_flight():
-    ds = PowderDatastore(beam_mode='time-of-flight')
-    ds.x = np.array([0.5, 1.0, 1.5])
-    ds.meas = np.array([15.0, 25.0, 35.0])
-    ds.meas_su = np.array([0.15, 0.25, 0.35])
-    ds.bkg = np.array([0.4, 0.4, 0.4])
-    cif = ds.as_cif()
-    assert '_pd_meas.time_of_flight' in cif
-    assert '_pd_meas.intensity_total' in cif
-    assert '_pd_meas.intensity_total_su' in cif
-
-
-def test_single_crystal_as_cif():
-    ds = SingleCrystalDatastore()
-    ds.sin_theta_over_lambda = np.array([0.1, 0.2])
-    ds.index_h = np.array([1, 0])
-    ds.index_k = np.array([0, 1])
-    ds.index_l = np.array([0, 0])
-    ds.meas = np.array([100, 200])
-    ds.meas_su = np.array([10, 20])
-    cif = ds.as_cif()
-    assert '_refln.index_h' in cif
-    assert '_refln.index_k' in cif
-    assert '_refln.index_l' in cif
-    assert '_refln.intensity_meas' in cif
-    assert '_refln.intensity_meas_su' in cif
-
-
-def test_as_cif_truncation():
-    ds = PowderDatastore()
-    ds.x = np.arange(10)
-    ds.meas = np.arange(10) * 10
-    ds.meas_su = np.arange(10) * 0.1
-    ds.bkg = np.arange(10) * 0.5
-
-    cif = ds.as_cif(max_points=2)
-
-    # It should contain CIF headers
-    assert '_pd_meas.2theta_scan' in cif
-    assert '_pd_meas.intensity_total' in cif
-    assert '_pd_meas.intensity_total_su' in cif
-
-    # It should contain first 2 and last 2 rows, but not the middle
-    assert '0 0 0.0' in cif
-    assert '1 10 0.1' in cif
-    assert '3 20 0.2' not in cif
-    assert '7 70 0.7' not in cif
-    assert '8 80 0.8' in cif
-    assert '9 90 0.9' in cif
-
-    # Ellipsis should indicate truncation
-    assert '...' in cif
diff --git a/tests/unit/experiments/collections/test_linked_phases.py b/tests/unit/experiments/collections/test_linked_phases.py
deleted file mode 100644
index 367e083f..00000000
--- a/tests/unit/experiments/collections/test_linked_phases.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from easydiffraction.experiments.collections.linked_phases import LinkedPhase
-from easydiffraction.experiments.collections.linked_phases import LinkedPhases
-
-
-def test_linked_phase_category_key():
-    lp = LinkedPhase(id='phase1', scale=1.0)
-    assert lp.category_key == 'linked_phases'
-
-
-def test_linked_phase_cif_category_key():
-    lp = LinkedPhase(id='phase1', scale=1.0)
-    assert lp.cif_category_key == 'pd_phase_block'
-
-
-def test_linked_phase_init():
-    lp = LinkedPhase(id='phase1', scale=1.23)
-    assert lp.id.value == 'phase1'
-    assert lp.id.name == 'id'
-    assert lp.id.cif_name == 'id'
-    assert lp.scale.value == 1.23
-    assert lp.scale.name == 'scale'
-    assert lp.scale.cif_name == 'scale'
-
-
-def test_linked_phases_type():
-    lps = LinkedPhases()
-    assert lps._type == 'category'
-
-
-def test_linked_phases_child_class():
-    lps = LinkedPhases()
-    assert lps._child_class is LinkedPhase
-
-
-def test_linked_phases_init_empty():
-    lps = LinkedPhases()
-    assert len(lps._items) == 0
-
-
-def test_linked_phases_add():
-    lps = LinkedPhases()
-    lps.add(id='phase1', scale=1.0)
-    lps.add(id='phase2', scale=2.0)
-    assert len(lps._items) == 2
-    assert lps['phase1'].scale.value == 1.0
-    assert lps['phase2'].scale.value == 2.0
diff --git a/tests/unit/experiments/components/test_experiment_type.py b/tests/unit/experiments/components/test_experiment_type.py
deleted file mode 100644
index 68fac38f..00000000
--- a/tests/unit/experiments/components/test_experiment_type.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from easydiffraction.core.objects import Descriptor
-from easydiffraction.experiments.components.experiment_type import ExperimentType
-
-
-def test_experiment_type_initialization():
-    experiment_type = ExperimentType(
-        sample_form='powder',
-        beam_mode='constant wavelength',
-        radiation_probe='neutron',
-        scattering_type='bragg',
-    )
-
-    assert isinstance(experiment_type.sample_form, Descriptor)
-    assert experiment_type.sample_form.value == 'powder'
-    assert experiment_type.sample_form.name == 'sample_form'
-    assert experiment_type.sample_form.cif_name == 'sample_form'
-
-    assert isinstance(experiment_type.beam_mode, Descriptor)
-    assert experiment_type.beam_mode.value == 'constant wavelength'
-    assert experiment_type.beam_mode.name == 'beam_mode'
-    assert experiment_type.beam_mode.cif_name == 'beam_mode'
-
-    assert isinstance(experiment_type.radiation_probe, Descriptor)
-    assert experiment_type.radiation_probe.value == 'neutron'
-    assert experiment_type.radiation_probe.name == 'radiation_probe'
-    assert experiment_type.radiation_probe.cif_name == 'radiation_probe'
-
-
-def test_experiment_type_properties():
-    experiment_type = ExperimentType(
-        sample_form='single crystal',
-        beam_mode='time-of-flight',
-        radiation_probe='xray',
-        scattering_type='bragg',
-    )
-
-    assert experiment_type.category_key == 'expt_type'
-    assert experiment_type.cif_category_key == 'expt_type'
-    assert experiment_type.datablock_id is None
-    assert experiment_type.entry_id is None
-    assert experiment_type._locked is True
-
-
-def no_test_experiment_type_locking_attributes():
-    # TODO: hmm this doesn't work as expected.
-    experiment_type = ExperimentType(
-        sample_form='powder',
-        beam_mode='constant wavelength',
-        radiation_probe='neutron',
-        scattering_type='bragg',
-    )
-    experiment_type._locked = True  # Disallow adding new attributes
-    experiment_type.new_attribute = 'value'
-    assert not hasattr(experiment_type, 'new_attribute')
diff --git a/tests/unit/experiments/components/test_instrument.py b/tests/unit/experiments/components/test_instrument.py
deleted file mode 100644
index 084dc41e..00000000
--- a/tests/unit/experiments/components/test_instrument.py
+++ /dev/null
@@ -1,85 +0,0 @@
-import pytest
-
-from easydiffraction.core.objects import Parameter
-from easydiffraction.experiments.components.instrument import ConstantWavelengthInstrument
-from easydiffraction.experiments.components.instrument import InstrumentBase
-from easydiffraction.experiments.components.instrument import InstrumentFactory
-from easydiffraction.experiments.components.instrument import TimeOfFlightInstrument
-
-
-def test_instrument_base_properties():
-    instrument = InstrumentBase()
-    assert instrument.category_key == 'instrument'
-    assert instrument.cif_category_key == 'instr'
-    assert instrument._entry_id is None
-
-
-def test_constant_wavelength_instrument_initialization():
-    instrument = ConstantWavelengthInstrument(setup_wavelength=1.5406, calib_twotheta_offset=0.1)
-
-    assert isinstance(instrument.setup_wavelength, Parameter)
-    assert instrument.setup_wavelength.value == 1.5406
-    assert instrument.setup_wavelength.name == 'wavelength'
-    assert instrument.setup_wavelength.cif_name == 'wavelength'
-    assert instrument.setup_wavelength.units == 'Å'
-
-    assert isinstance(instrument.calib_twotheta_offset, Parameter)
-    assert instrument.calib_twotheta_offset.value == 0.1
-    assert instrument.calib_twotheta_offset.name == 'twotheta_offset'
-    assert instrument.calib_twotheta_offset.cif_name == '2theta_offset'
-    assert instrument.calib_twotheta_offset.units == 'deg'
-
-
-def test_time_of_flight_instrument_initialization():
-    instrument = TimeOfFlightInstrument(
-        setup_twotheta_bank=150.0,
-        calib_d_to_tof_offset=0.5,
-        calib_d_to_tof_linear=10000.0,
-        calib_d_to_tof_quad=-1.0,
-        calib_d_to_tof_recip=0.1,
-    )
-
-    assert isinstance(instrument.setup_twotheta_bank, Parameter)
-    assert instrument.setup_twotheta_bank.value == 150.0
-    assert instrument.setup_twotheta_bank.name == 'twotheta_bank'
-    assert instrument.setup_twotheta_bank.cif_name == '2theta_bank'
-    assert instrument.setup_twotheta_bank.units == 'deg'
-
-    assert isinstance(instrument.calib_d_to_tof_offset, Parameter)
-    assert instrument.calib_d_to_tof_offset.value == 0.5
-    assert instrument.calib_d_to_tof_offset.name == 'd_to_tof_offset'
-    assert instrument.calib_d_to_tof_offset.cif_name == 'd_to_tof_offset'
-    assert instrument.calib_d_to_tof_offset.units == 'µs'
-
-    assert isinstance(instrument.calib_d_to_tof_linear, Parameter)
-    assert instrument.calib_d_to_tof_linear.value == 10000.0
-    assert instrument.calib_d_to_tof_linear.name == 'd_to_tof_linear'
-    assert instrument.calib_d_to_tof_linear.cif_name == 'd_to_tof_linear'
-    assert instrument.calib_d_to_tof_linear.units == 'µs/Å'
-
-    assert isinstance(instrument.calib_d_to_tof_quad, Parameter)
-    assert instrument.calib_d_to_tof_quad.value == -1.0
-    assert instrument.calib_d_to_tof_quad.name == 'd_to_tof_quad'
-    assert instrument.calib_d_to_tof_quad.cif_name == 'd_to_tof_quad'
-    assert instrument.calib_d_to_tof_quad.units == 'µs/Ų'
-
-    assert isinstance(instrument.calib_d_to_tof_recip, Parameter)
-    assert instrument.calib_d_to_tof_recip.value == 0.1
-    assert instrument.calib_d_to_tof_recip.name == 'd_to_tof_recip'
-    assert instrument.calib_d_to_tof_recip.cif_name == 'd_to_tof_recip'
-    assert instrument.calib_d_to_tof_recip.units == 'µs·Å'
-
-
-def test_instrument_factory_create_constant_wavelength():
-    instrument = InstrumentFactory.create(beam_mode='constant wavelength')
-    assert isinstance(instrument, ConstantWavelengthInstrument)
-
-
-def test_instrument_factory_create_time_of_flight():
-    instrument = InstrumentFactory.create(beam_mode='time-of-flight')
-    assert isinstance(instrument, TimeOfFlightInstrument)
-
-
-def test_instrument_factory_create_invalid_beam_mode():
-    with pytest.raises(ValueError, match="Unsupported beam mode: 'invalid'.*"):
-        InstrumentFactory.create(beam_mode='invalid')
diff --git a/tests/unit/experiments/components/test_peak.py b/tests/unit/experiments/components/test_peak.py
deleted file mode 100644
index 1de1c15d..00000000
--- a/tests/unit/experiments/components/test_peak.py
+++ /dev/null
@@ -1,145 +0,0 @@
-import pytest
-
-from easydiffraction.core.objects import Parameter
-from easydiffraction.experiments.components.peak import ConstantWavelengthBroadeningMixin
-from easydiffraction.experiments.components.peak import ConstantWavelengthPseudoVoigt
-from easydiffraction.experiments.components.peak import ConstantWavelengthSplitPseudoVoigt
-from easydiffraction.experiments.components.peak import ConstantWavelengthThompsonCoxHastings
-from easydiffraction.experiments.components.peak import EmpiricalAsymmetryMixin
-from easydiffraction.experiments.components.peak import FcjAsymmetryMixin
-from easydiffraction.experiments.components.peak import IkedaCarpenterAsymmetryMixin
-from easydiffraction.experiments.components.peak import PeakBase
-from easydiffraction.experiments.components.peak import PeakFactory
-from easydiffraction.experiments.components.peak import TimeOfFlightBroadeningMixin
-from easydiffraction.experiments.components.peak import TimeOfFlightPseudoVoigt
-from easydiffraction.experiments.components.peak import TimeOfFlightPseudoVoigtBackToBack
-from easydiffraction.experiments.components.peak import TimeOfFlightPseudoVoigtIkedaCarpenter
-
-
-# --- Tests for Mixins ---
-def test_constant_wavelength_broadening_mixin():
-    class TestClass(ConstantWavelengthBroadeningMixin):
-        def __init__(self):
-            self._add_constant_wavelength_broadening()
-
-    obj = TestClass()
-    assert isinstance(obj.broad_gauss_u, Parameter)
-    assert obj.broad_gauss_u.value == 0.01
-    assert obj.broad_gauss_v.value == -0.01
-    assert obj.broad_gauss_w.value == 0.02
-    assert obj.broad_lorentz_x.value == 0.0
-    assert obj.broad_lorentz_y.value == 0.0
-
-
-def test_time_of_flight_broadening_mixin():
-    class TestClass(TimeOfFlightBroadeningMixin):
-        def __init__(self):
-            self._add_time_of_flight_broadening()
-
-    obj = TestClass()
-    assert isinstance(obj.broad_gauss_sigma_0, Parameter)
-    assert obj.broad_gauss_sigma_0.value == 0.0
-    assert obj.broad_gauss_sigma_1.value == 0.0
-    assert obj.broad_gauss_sigma_2.value == 0.0
-    assert obj.broad_lorentz_gamma_0.value == 0.0
-    assert obj.broad_lorentz_gamma_1.value == 0.0
-    assert obj.broad_lorentz_gamma_2.value == 0.0
-    assert obj.broad_mix_beta_0.value == 0.0
-    assert obj.broad_mix_beta_1.value == 0.0
-
-
-def test_empirical_asymmetry_mixin():
-    class TestClass(EmpiricalAsymmetryMixin):
-        def __init__(self):
-            self._add_empirical_asymmetry()
-
-    obj = TestClass()
-    assert isinstance(obj.asym_empir_1, Parameter)
-    assert obj.asym_empir_1.value == 0.1
-    assert obj.asym_empir_2.value == 0.2
-    assert obj.asym_empir_3.value == 0.3
-    assert obj.asym_empir_4.value == 0.4
-
-
-def test_fcj_asymmetry_mixin():
-    class TestClass(FcjAsymmetryMixin):
-        def __init__(self):
-            self._add_fcj_asymmetry()
-
-    obj = TestClass()
-    assert isinstance(obj.asym_fcj_1, Parameter)
-    assert obj.asym_fcj_1.value == 0.01
-    assert obj.asym_fcj_2.value == 0.02
-
-
-def test_ikeda_carpenter_asymmetry_mixin():
-    class TestClass(IkedaCarpenterAsymmetryMixin):
-        def __init__(self):
-            self._add_ikeda_carpenter_asymmetry()
-
-    obj = TestClass()
-    assert isinstance(obj.asym_alpha_0, Parameter)
-    assert obj.asym_alpha_0.value == 0.01
-    assert obj.asym_alpha_1.value == 0.02
-
-
-# --- Tests for Base and Derived Peak Classes ---
-def test_peak_base_properties():
-    peak = PeakBase()
-    assert peak.cif_category_key == 'peak'
-    assert peak.category_key == 'peak'
-    assert peak._entry_id is None
-
-
-def test_constant_wavelength_pseudo_voigt_initialization():
-    peak = ConstantWavelengthPseudoVoigt()
-    assert isinstance(peak.broad_gauss_u, Parameter)
-    assert peak.broad_gauss_u.value == 0.01
-
-
-def test_constant_wavelength_split_pseudo_voigt_initialization():
-    peak = ConstantWavelengthSplitPseudoVoigt()
-    assert isinstance(peak.broad_gauss_u, Parameter)
-    assert isinstance(peak.asym_empir_1, Parameter)
-    assert peak.asym_empir_1.value == 0.1
-
-
-def test_constant_wavelength_thompson_cox_hastings_initialization():
-    peak = ConstantWavelengthThompsonCoxHastings()
-    assert isinstance(peak.broad_gauss_u, Parameter)
-    assert isinstance(peak.asym_fcj_1, Parameter)
-    assert peak.asym_fcj_1.value == 0.01
-
-
-def test_time_of_flight_pseudo_voigt_initialization():
-    peak = TimeOfFlightPseudoVoigt()
-    assert isinstance(peak.broad_gauss_sigma_0, Parameter)
-    assert peak.broad_gauss_sigma_0.value == 0.0
-
-
-def test_time_of_flight_pseudo_voigt_ikeda_carpenter_initialization():
-    peak = TimeOfFlightPseudoVoigtIkedaCarpenter()
-    assert isinstance(peak.broad_gauss_sigma_0, Parameter)
-    assert isinstance(peak.asym_alpha_0, Parameter)
-
-
-def test_time_of_flight_pseudo_voigt_back_to_back_exponential_initialization():
-    peak = TimeOfFlightPseudoVoigtBackToBack()
-    assert isinstance(peak.broad_gauss_sigma_0, Parameter)
-    assert isinstance(peak.asym_alpha_0, Parameter)
-
-
-# --- Tests for PeakFactory ---
-def test_peak_factory_create_constant_wavelength_pseudo_voigt():
-    peak = PeakFactory.create(beam_mode='constant wavelength', profile_type='pseudo-voigt')
-    assert isinstance(peak, ConstantWavelengthPseudoVoigt)
-
-
-def test_peak_factory_create_invalid_beam_mode():
-    with pytest.raises(ValueError, match="Unsupported beam mode: 'invalid'.*"):
-        PeakFactory.create(beam_mode='invalid', profile_type='pseudo-voigt')
-
-
-def test_peak_factory_create_invalid_profile_type():
-    with pytest.raises(ValueError, match="Unsupported profile type 'invalid' for beam mode 'constant wavelength'.*"):
-        PeakFactory.create(beam_mode='constant wavelength', profile_type='invalid')
diff --git a/tests/unit/experiments/test_experiment.py b/tests/unit/experiments/test_experiment.py
deleted file mode 100644
index 8345a92d..00000000
--- a/tests/unit/experiments/test_experiment.py
+++ /dev/null
@@ -1,154 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-from easydiffraction.experiments.components.experiment_type import BeamModeEnum
-from easydiffraction.experiments.components.experiment_type import ExperimentType
-from easydiffraction.experiments.components.experiment_type import RadiationProbeEnum
-from easydiffraction.experiments.components.experiment_type import SampleFormEnum
-from easydiffraction.experiments.components.experiment_type import ScatteringTypeEnum
-from easydiffraction.experiments.experiment import BaseExperiment
-from easydiffraction.experiments.experiment import Experiment
-from easydiffraction.experiments.experiment import ExperimentFactory
-from easydiffraction.experiments.experiment import PowderExperiment
-from easydiffraction.experiments.experiment import SingleCrystalExperiment
-
-
-@pytest.fixture
-def expt_type():
-    return ExperimentType(
-        sample_form=SampleFormEnum.default(),
-        beam_mode=BeamModeEnum.default(),
-        radiation_probe='xray',
-        scattering_type='bragg',
-    )
-
-
-class ConcreteBaseExperiment(BaseExperiment):
-    """Concrete implementation of BaseExperiment for testing."""
-
-    def _load_ascii_data_to_experiment(self, data_path):
-        pass
-
-    def show_meas_chart(self, x_min=None, x_max=None):
-        pass
-
-
-class ConcreteSingleCrystalExperiment(SingleCrystalExperiment):
-    """Concrete implementation of SingleCrystalExperiment for
-    testing."""
-
-    def _load_ascii_data_to_experiment(self, data_path):
-        pass
-
-
-def test_base_experiment_initialization(expt_type):
-    experiment = ConcreteBaseExperiment(name='TestExperiment', type=expt_type)
-    assert experiment.name == 'TestExperiment'
-    assert experiment.type == expt_type
-
-
-def test_powder_experiment_initialization(expt_type):
-    experiment = PowderExperiment(name='PowderTest', type=expt_type)
-    assert experiment.name == 'PowderTest'
-    assert experiment.type == expt_type
-    assert experiment.background is not None
-    assert experiment.peak is not None
-    assert experiment.linked_phases is not None
-
-
-def test_powder_experiment_load_ascii_data(expt_type):
-    experiment = PowderExperiment(name='PowderTest', type=expt_type)
-    experiment.datastore = MagicMock()
-    mock_data = np.array([[1.0, 2.0, 0.1], [2.0, 3.0, 0.2]])
-    with patch('numpy.loadtxt', return_value=mock_data):
-        experiment._load_ascii_data_to_experiment('mock_path')
-    assert np.array_equal(experiment.datastore.x, mock_data[:, 0])
-    assert np.array_equal(experiment.datastore.meas, mock_data[:, 1])
-    assert np.array_equal(experiment.datastore.meas_su, mock_data[:, 2])
-
-
-def test_single_crystal_experiment_initialization(expt_type):
-    experiment = ConcreteSingleCrystalExperiment(name='SingleCrystalTest', type=expt_type)
-    assert experiment.name == 'SingleCrystalTest'
-    assert experiment.type == expt_type
-    assert experiment.linked_crystal is None
-
-
-def test_single_crystal_experiment_show_meas_chart(expt_type):
-    experiment = ConcreteSingleCrystalExperiment(name='SingleCrystalTest', type=expt_type)
-    with patch('builtins.print') as mock_print:
-        experiment.show_meas_chart()
-        mock_print.assert_called_once_with('Showing measured data chart is not implemented yet.')
-
-
-def test_experiment_factory_create_powder():
-    experiment = ExperimentFactory.create(
-        name='PowderTest',
-        sample_form=SampleFormEnum.POWDER.value,
-        beam_mode=BeamModeEnum.default().value,
-        radiation_probe=RadiationProbeEnum.default().value,
-        scattering_type=ScatteringTypeEnum.default().value,
-    )
-    assert isinstance(experiment, PowderExperiment)
-    assert experiment.name == 'PowderTest'
-
-
-# to be added once single crystal works
-def no_test_experiment_factory_create_single_crystal():
-    experiment = ExperimentFactory.create(
-        name='SingleCrystalTest',
-        sample_form=SampleFormEnum.SINGLE_CRYSTAL.value,
-        beam_mode=BeamModeEnum.default().value,
-        radiation_probe=RadiationProbeEnum.default().value,
-    )
-    assert isinstance(experiment, SingleCrystalExperiment)
-    assert experiment.name == 'SingleCrystalTest'
-
-
-def test_experiment_method():
-    mock_data = np.array([[1.0, 2.0, 0.1], [2.0, 3.0, 0.2]])
-    with patch('numpy.loadtxt', return_value=mock_data):
-        experiment = Experiment(
-            name='ExperimentTest',
-            sample_form='powder',
-            beam_mode=BeamModeEnum.default().value,
-            radiation_probe=RadiationProbeEnum.default().value,
-            data_path='mock_path',
-        )
-    assert isinstance(experiment, PowderExperiment)
-    assert experiment.name == 'ExperimentTest'
-    assert np.array_equal(experiment.datastore.x, mock_data[:, 0])
-    assert np.array_equal(experiment.datastore.meas, mock_data[:, 1])
-    assert np.array_equal(experiment.datastore.meas_su, mock_data[:, 2])
-
-
-def test_experiment_factory_invalid_args_missing_required():
-    # Missing required 'name'
-    with pytest.raises(ValueError, match='Invalid argument combination'):
-        ExperimentFactory.create(
-            sample_form=SampleFormEnum.POWDER.value,
-            beam_mode=BeamModeEnum.default().value,
-            radiation_probe=RadiationProbeEnum.default().value,
-            scattering_type=ScatteringTypeEnum.default().value,
-        )
-
-
-def test_experiment_factory_conflicting_args_cif_and_name():
-    # Conflicting: 'cif_path' with 'name'
-    with pytest.raises(ValueError, match='Invalid argument combination'):
-        ExperimentFactory.create(name='ConflictTest', cif_path='path/to/file.cif')
-
-
-def test_experiment_factory_conflicting_args_data_and_cif():
-    # Conflicting: multiple conflicting input sources
-    with pytest.raises(ValueError, match='Invalid argument combination'):
-        ExperimentFactory.create(name='ConflictTest', data_path='mock_path', cif_str='cif content')
-
-
-def test_experiment_factory_invalid_args_unsupported_key():
-    # Unsupported keyword
-    with pytest.raises(ValueError, match='Invalid argument combination'):
-        ExperimentFactory.create(foo='bar')
diff --git a/tests/unit/experiments/test_experiments.py b/tests/unit/experiments/test_experiments.py
deleted file mode 100644
index 7c346d0a..00000000
--- a/tests/unit/experiments/test_experiments.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-from easydiffraction.experiments.experiment import BaseExperiment
-from easydiffraction.experiments.experiments import Experiments
-
-
-class ConcreteBaseExperiment(BaseExperiment):
-    """Concrete implementation of BaseExperiment for testing."""
-
-    def _load_ascii_data_to_experiment(self, data_path):
-        pass
-
-    def show_meas_chart(self, x_min=None, x_max=None):
-        pass
-
-
-def test_experiments_initialization():
-    experiments = Experiments()
-    assert isinstance(experiments, Experiments)
-    assert len(experiments.ids) == 0
-
-
-def test_experiments_add_prebuilt_experiment():
-    experiments = Experiments()
-    mock_experiment = MagicMock(spec=BaseExperiment)
-    mock_experiment.name = 'TestExperiment'
-
-    experiments.add(experiment=mock_experiment)
-    assert 'TestExperiment' in experiments.ids
-    assert experiments._experiments['TestExperiment'] == mock_experiment
-
-
-def test_experiments_add_from_data_path():
-    experiments = Experiments()
-    mock_experiment = MagicMock(spec=ConcreteBaseExperiment)
-    mock_experiment.name = 'TestExperiment'
-
-    with patch('easydiffraction.experiments.experiment.ExperimentFactory.create', return_value=mock_experiment):
-        experiments.add_from_data_path(
-            name='TestExperiment',
-            sample_form='powder',
-            beam_mode='constant wavelength',
-            radiation_probe='xray',
-            data_path='mock_path',
-        )
-
-    assert 'TestExperiment' in experiments.ids
-    assert experiments['TestExperiment'] == mock_experiment
-
-
-def test_experiments_remove():
-    experiments = Experiments()
-    mock_experiment = MagicMock(spec=BaseExperiment)
-    mock_experiment.name = 'TestExperiment'
-
-    experiments.add(experiment=mock_experiment)
-    assert 'TestExperiment' in experiments.ids
-
-    experiments.remove('TestExperiment')
-    assert 'TestExperiment' not in experiments.ids
-
-
-def test_experiments_show_names(capsys):
-    experiments = Experiments()
-    mock_experiment = MagicMock(spec=BaseExperiment)
-    mock_experiment.name = 'TestExperiment'
-
-    experiments.add(experiment=mock_experiment)
-    experiments.show_names()
-
-    captured = capsys.readouterr()
-    assert 'Defined experiments 🔬' in captured.out
-    assert 'TestExperiment' in captured.out
-
-
-def test_experiments_as_cif():
-    experiments = Experiments()
-    mock_experiment = MagicMock(spec=BaseExperiment)
-    mock_experiment.name = 'TestExperiment'
-    mock_experiment.as_cif.return_value = 'mock_cif_content'
-
-    experiments.add(experiment=mock_experiment)
-    cif_output = experiments.as_cif()
-
-    assert 'mock_cif_content' in cif_output
diff --git a/tests/unit/sample_models/collections/test_atom_sites.py b/tests/unit/sample_models/collections/test_atom_sites.py
deleted file mode 100644
index 5514e5b6..00000000
--- a/tests/unit/sample_models/collections/test_atom_sites.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import pytest
-
-from easydiffraction.sample_models.collections.atom_sites import AtomSite
-from easydiffraction.sample_models.collections.atom_sites import AtomSites
-
-
-def test_atom_site_initialization():
-    atom_site = AtomSite(
-        label='O1',
-        type_symbol='O',
-        fract_x=0.1,
-        fract_y=0.2,
-        fract_z=0.3,
-        wyckoff_letter='a',
-        occupancy=0.8,
-        b_iso=1.2,
-        adp_type='Biso',
-    )
-
-    # Assertions
-    assert atom_site.label.value == 'O1'
-    assert atom_site.type_symbol.value == 'O'
-    assert atom_site.fract_x.value == 0.1
-    assert atom_site.fract_y.value == 0.2
-    assert atom_site.fract_z.value == 0.3
-    assert atom_site.wyckoff_letter.value == 'a'
-    assert atom_site.occupancy.value == 0.8
-    assert atom_site.b_iso.value == 1.2
-    assert atom_site.adp_type.value == 'Biso'
-
-
-def test_atom_site_properties():
-    atom_site = AtomSite(label='O1', type_symbol='O', fract_x=0.1, fract_y=0.2, fract_z=0.3)
-
-    # Assertions
-    assert atom_site.cif_category_key == 'atom_site'
-    assert atom_site.category_key == 'atom_sites'
-    assert atom_site._entry_id == 'O1'
-
-
-@pytest.fixture
-def atom_sites_collection():
-    return AtomSites()
-
-
-def test_atom_sites_add(atom_sites_collection):
-    atom_sites_collection.add(
-        label='O1',
-        type_symbol='O',
-        fract_x=0.1,
-        fract_y=0.2,
-        fract_z=0.3,
-        wyckoff_letter='a',
-        occupancy=0.8,
-        b_iso=1.2,
-        adp_type='Biso',
-    )
-
-    # Assertions
-    assert 'O1' in atom_sites_collection._items
-    atom_site = atom_sites_collection._items['O1']
-    assert isinstance(atom_site, AtomSite)
-    assert atom_site.label.value == 'O1'
-    assert atom_site.type_symbol.value == 'O'
-    assert atom_site.fract_x.value == 0.1
-    assert atom_site.fract_y.value == 0.2
-    assert atom_site.fract_z.value == 0.3
-    assert atom_site.wyckoff_letter.value == 'a'
-    assert atom_site.occupancy.value == 0.8
-    assert atom_site.b_iso.value == 1.2
-    assert atom_site.adp_type.value == 'Biso'
-
-
-def test_atom_sites_add_multiple(atom_sites_collection):
-    atom_sites_collection.add(label='O1', type_symbol='O', fract_x=0.1, fract_y=0.2, fract_z=0.3)
-    atom_sites_collection.add(label='C1', type_symbol='C', fract_x=0.4, fract_y=0.5, fract_z=0.6)
-
-    # Assertions
-    assert 'O1' in atom_sites_collection._items
-    assert 'C1' in atom_sites_collection._items
-    assert len(atom_sites_collection._items) == 2
-
-
-def test_atom_sites_type(atom_sites_collection):
-    # Assertions
-    assert atom_sites_collection._type == 'category'
diff --git a/tests/unit/sample_models/components/test_cell.py b/tests/unit/sample_models/components/test_cell.py
deleted file mode 100644
index a7cdf2f8..00000000
--- a/tests/unit/sample_models/components/test_cell.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from easydiffraction.sample_models.components.cell import Cell
-
-
-def test_cell_initialization():
-    cell = Cell(length_a=5.0, length_b=6.0, length_c=7.0, angle_alpha=80.0, angle_beta=85.0, angle_gamma=95.0)
-
-    # Assertions
-    assert cell.length_a.value == 5.0
-    assert cell.length_b.value == 6.0
-    assert cell.length_c.value == 7.0
-    assert cell.angle_alpha.value == 80.0
-    assert cell.angle_beta.value == 85.0
-    assert cell.angle_gamma.value == 95.0
-
-    assert cell.length_a.units == 'Å'
-    assert cell.angle_alpha.units == 'deg'
-
-
-def test_cell_default_initialization():
-    cell = Cell()
-
-    # Assertions
-    assert cell.length_a.value == 10.0
-    assert cell.length_b.value == 10.0
-    assert cell.length_c.value == 10.0
-    assert cell.angle_alpha.value == 90.0
-    assert cell.angle_beta.value == 90.0
-    assert cell.angle_gamma.value == 90.0
-
-
-def test_cell_properties():
-    cell = Cell()
-
-    # Assertions
-    assert cell.cif_category_key == 'cell'
-    assert cell.category_key == 'cell'
-    assert cell._entry_id is None
diff --git a/tests/unit/sample_models/components/test_space_group.py b/tests/unit/sample_models/components/test_space_group.py
deleted file mode 100644
index 5e0d6a1b..00000000
--- a/tests/unit/sample_models/components/test_space_group.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from easydiffraction.sample_models.components.space_group import SpaceGroup
-
-
-def test_space_group_initialization():
-    space_group = SpaceGroup(name_h_m='P 2/m', it_coordinate_system_code=1)
-
-    # Assertions
-    assert space_group.name_h_m.value == 'P 2/m'
-    assert space_group.name_h_m.name == 'name_h_m'
-    assert space_group.name_h_m.cif_name == 'name_H-M_alt'
-
-    assert space_group.it_coordinate_system_code.value == 1
-    assert space_group.it_coordinate_system_code.name == 'it_coordinate_system_code'
-    assert space_group.it_coordinate_system_code.cif_name == 'IT_coordinate_system_code'
-
-
-def test_space_group_default_initialization():
-    space_group = SpaceGroup()
-
-    # Assertions
-    assert space_group.name_h_m.value == 'P 1'
-    assert space_group.it_coordinate_system_code.value is None
-
-
-def test_space_group_properties():
-    space_group = SpaceGroup()
-
-    # Assertions
-    assert space_group.cif_category_key == 'space_group'
-    assert space_group.category_key == 'space_group'
-    assert space_group._entry_id is None
diff --git a/tests/unit/sample_models/test_sample_models.py b/tests/unit/sample_models/test_sample_models.py
deleted file mode 100644
index ce1f363b..00000000
--- a/tests/unit/sample_models/test_sample_models.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from unittest.mock import MagicMock
-from unittest.mock import patch
-
-import pytest
-
-from easydiffraction.sample_models.sample_models import SampleModel
-from easydiffraction.sample_models.sample_models import SampleModels
-
-
-@pytest.fixture
-def mock_sample_model():
-    with (
-        patch('easydiffraction.sample_models.components.space_group.SpaceGroup') as mock_space_group,
-        patch('easydiffraction.sample_models.components.cell.Cell') as mock_cell,
-        patch('easydiffraction.sample_models.collections.atom_sites.AtomSites') as mock_atom_sites,
-    ):
-        space_group = mock_space_group.return_value
-        cell = mock_cell.return_value
-        atom_sites = mock_atom_sites.return_value
-
-        # Mock attributes
-        space_group.name_h_m.value = 'P 1'
-        space_group.it_coordinate_system_code.value = 1
-        cell.length_a.value = 1.0
-        cell.length_b.value = 2.0
-        cell.length_c.value = 3.0
-        cell.angle_alpha.value = 90.0
-        cell.angle_beta.value = 90.0
-        cell.angle_gamma.value = 90.0
-        atom_sites.__iter__.return_value = []
-
-        return SampleModel(name='test_model')
-
-
-@pytest.fixture
-def mock_sample_models():
-    return SampleModels()
-
-
-def test_sample_models_add(mock_sample_models, mock_sample_model):
-    mock_sample_models.add(model=mock_sample_model)
-
-    # Assertions
-    assert 'test_model' in mock_sample_models.get_ids()
-
-
-def test_sample_models_remove(mock_sample_models, mock_sample_model):
-    mock_sample_models.add(model=mock_sample_model)
-    mock_sample_models.remove('test_model')
-
-    # Assertions
-    assert 'test_model' not in mock_sample_models.get_ids()
-
-
-def test_sample_models_as_cif(mock_sample_models, mock_sample_model):
-    mock_sample_model.as_cif = MagicMock(return_value='data_test_model')
-    mock_sample_models.add(model=mock_sample_model)
-
-    cif = mock_sample_models.as_cif()
-
-    # Assertions
-    assert 'data_test_model' in cif
-
-
-@patch('builtins.print')
-def test_sample_models_show_names(mock_print, mock_sample_models, mock_sample_model):
-    mock_sample_models.add(model=mock_sample_model)
-    mock_sample_models.show_names()
-
-    # Assertions
-    mock_print.assert_called_with(['test_model'])
-
-
-@patch.object(SampleModel, 'show_params', autospec=True)
-def test_sample_models_show_params(mock_show_params, mock_sample_models, mock_sample_model):
-    mock_sample_models.add(model=mock_sample_model)
-    mock_sample_models.show_params()
-
-    # Assertions
-    mock_show_params.assert_called_once_with(mock_sample_model)
diff --git a/tests/unit/test_project.py b/tests/unit/test_project.py
deleted file mode 100644
index ba2f15b9..00000000
--- a/tests/unit/test_project.py
+++ /dev/null
@@ -1,212 +0,0 @@
-import datetime
-import os
-import pathlib
-import time
-from unittest.mock import MagicMock, ANY
-from unittest.mock import patch
-
-from easydiffraction.analysis.analysis import Analysis
-from easydiffraction.experiments.experiments import Experiments
-from easydiffraction.project import Project
-from easydiffraction.project import ProjectInfo
-from easydiffraction.sample_models.sample_models import SampleModels
-from easydiffraction.summary import Summary
-
-
-def _normalize_posix(p: pathlib.Path) -> str:
-    """Return a normalized POSIX-style path string with a leading '/'.
-
-    This makes tests robust across Windows and POSIX when using paths like
-    '/test/path' that, on Windows, become '\\test\\path'. We avoid relying on
-    drive letters or platform-specific semantics for these synthetic test paths.
-    """
-    s = str(p).replace('\\', '/')
-    if not s.startswith('/'):
-        s = '/' + s.lstrip('/')
-    return s
-
-# ------------------------------------------
-# Tests for ProjectInfo
-# ------------------------------------------
-
-
-def test_project_info_initialization():
-    project_info = ProjectInfo()
-
-    # Assertions
-    assert project_info.name == 'untitled_project'
-    assert project_info.title == 'Untitled Project'
-    assert project_info.description == ''
-    assert project_info.path == pathlib.Path.cwd()
-    assert isinstance(project_info.created, datetime.datetime)
-    assert isinstance(project_info.last_modified, datetime.datetime)
-
-
-def test_project_info_setters():
-    project_info = ProjectInfo()
-
-    # Set values
-    project_info.name = 'test_project'
-    project_info.title = 'Test Project'
-    project_info.description = 'This is a test project.'
-    project_info.path = '/test/path'
-
-    # Assertions
-    assert project_info.name == 'test_project'
-    assert project_info.title == 'Test Project'
-    assert project_info.description == 'This is a test project.'
-    # Use POSIX form for cross-platform consistency (Windows vs POSIX separators)
-    assert _normalize_posix(project_info.path) == '/test/path'
-
-
-def test_project_info_update_last_modified():
-    project_info = ProjectInfo()
-    initial_last_modified = project_info.last_modified
-
-    # Add a small delay to ensure the timestamps differ
-    time.sleep(0.001)
-    project_info.update_last_modified()
-
-    # Assertions
-    assert project_info.last_modified > initial_last_modified
-
-
-def test_project_info_as_cif():
-    project_info = ProjectInfo()
-    project_info.name = 'test_project'
-    project_info.title = 'Test Project'
-    project_info.description = 'This is a test project.'
-
-    cif = project_info.as_cif()
-
-    # Assertions
-    assert '_project.id               test_project' in cif
-    assert "_project.title            'Test Project'" in cif
-    assert "_project.description      'This is a test project.'" in cif
-
-
-@patch('builtins.print')
-def test_project_info_show_as_cif(mock_print):
-    project_info = ProjectInfo()
-    project_info.name = 'test_project'
-    project_info.title = 'Test Project'
-    project_info.description = 'This is a test project.'
-
-    project_info.show_as_cif()
-
-    # Assertions
-    mock_print.assert_called()
-
-
-# ------------------------------------------
-# Tests for Project
-# ------------------------------------------
-
-
-def test_project_initialization():
-    with (
-        patch('easydiffraction.sample_models.sample_models.SampleModels'),
-        patch('easydiffraction.experiments.experiments.Experiments'),
-        patch('easydiffraction.analysis.analysis.Analysis'),
-        patch('easydiffraction.summary.Summary'),
-    ):
-        project = Project()  # Directly assign the instance to a variable
-
-    # Assertions
-    assert project.name == 'untitled_project'
-    assert isinstance(project.sample_models, SampleModels)
-    assert isinstance(project.experiments, Experiments)
-    assert isinstance(project.analysis, Analysis)
-    assert isinstance(project.summary, Summary)
-
-
-@patch('builtins.print')
-def test_project_load(mock_print):
-    with (
-        patch('easydiffraction.sample_models.sample_models.SampleModels'),
-        patch('easydiffraction.experiments.experiments.Experiments'),
-        patch('easydiffraction.analysis.analysis.Analysis'),
-        patch('easydiffraction.summary.Summary'),
-    ):
-        project = Project()  # Directly assign the instance to a variable
-
-    project.load('/test/path')
-
-    # Assertions
-    # path is normalised/stored as a pathlib.Path
-    assert _normalize_posix(project.info.path) == '/test/path'
-    assert 'Loading project 📦 from /test/path' in mock_print.call_args_list[0][0][0]
-
-
-@patch('builtins.print')
-@patch('pathlib.Path.open', new_callable=MagicMock)
-@patch('pathlib.Path.mkdir')
-def test_project_save(mock_mkdir, mock_open, mock_print):
-    with (
-        patch('easydiffraction.sample_models.sample_models.SampleModels'),
-        patch('easydiffraction.experiments.experiments.Experiments'),
-        patch('easydiffraction.analysis.analysis.Analysis'),
-        patch('easydiffraction.summary.Summary'),
-    ):
-        project = Project()  # Directly assign the instance to a variable
-
-    project.info.path = '/test/path'
-    project.save()
-
-    # Assertions
-    # Bound Path.mkdir call does not pass the path object itself as first arg
-    mock_mkdir.assert_any_call(parents=True, exist_ok=True)
-    # Bound Path.open receives only the mode (path is bound); ensure at least one write call
-    mock_open.assert_any_call('w')
-
-
-@patch('builtins.print')
-@patch('pathlib.Path.open', new_callable=MagicMock)
-@patch('pathlib.Path.mkdir')
-def test_project_save_as(mock_mkdir, mock_open, mock_print):
-    with (
-        patch('easydiffraction.sample_models.sample_models.SampleModels'),
-        patch('easydiffraction.experiments.experiments.Experiments'),
-        patch('easydiffraction.analysis.analysis.Analysis'),
-        patch('easydiffraction.summary.Summary'),
-    ):
-        project = Project()  # Directly assign the instance to a variable
-
-    project.save_as('new_project_path')
-
-    # Assertions
-    assert project.info.path.name == 'new_project_path'
-    mock_mkdir.assert_any_call(parents=True, exist_ok=True)
-    mock_open.assert_any_call('w')
-
-
-def test_project_set_sample_models():
-    with (
-        patch('easydiffraction.sample_models.sample_models.SampleModels'),
-        patch('easydiffraction.experiments.experiments.Experiments'),
-        patch('easydiffraction.analysis.analysis.Analysis'),
-        patch('easydiffraction.summary.Summary'),
-    ):
-        project = Project()  # Directly assign the instance to a variable
-
-    sample_models = MagicMock()
-    project.set_sample_models(sample_models)
-
-    # Assertions
-    assert project.sample_models == sample_models
-
-
-def test_project_set_experiments():
-    with (
-        patch('easydiffraction.sample_models.sample_models.SampleModels'),
-        patch('easydiffraction.experiments.experiments.Experiments'),
-        patch('easydiffraction.analysis.analysis.Analysis'),
-        patch('easydiffraction.summary.Summary'),
-    ):
-        project = Project()  # Directly assign the instance to a variable
-
-    experiments = MagicMock()
-    project.set_experiments(experiments)
-
-    # Assertions
-    assert project.experiments == experiments
diff --git a/tests/unit/test_symmetry_lookup_table.py b/tests/unit/test_symmetry_lookup_table.py
deleted file mode 100644
index 8286eb73..00000000
--- a/tests/unit/test_symmetry_lookup_table.py
+++ /dev/null
@@ -1,129 +0,0 @@
-import numpy as np
-import pytest
-
-from easydiffraction.crystallography.space_groups import SPACE_GROUPS
-
-
-def test_lookup_table_consistency():
-    # Ensure that the space group numbers and system codes in the
-    # key are the same as in the actual entries.
-    for (it_number, it_code), entry in SPACE_GROUPS.items():
-        assert entry['IT_number'] == it_number
-        assert entry['IT_coordinate_system_code'] == it_code
-
-
-@pytest.mark.parametrize(
-    'key, expected',
-    [
-        (
-            (62, 'cab'),
-            {
-                'IT_number': 62,
-                'setting': 2,
-                'IT_coordinate_system_code': 'cab',
-                'name_H-M_alt': 'P b n m',
-                'crystal_system': 'orthorhombic',
-                'Wyckoff_positions': {
-                    'd': {
-                        'multiplicity': 8,
-                        'site_symmetry': '1',
-                        'coords_xyz': [
-                            '(x,y,z)',
-                            '(x+1/2,-y+1/2,-z)',
-                            '(-x,-y,z+1/2)',
-                            '(-x+1/2,y+1/2,-z+1/2)',
-                            '(-x,-y,-z)',
-                            '(-x+1/2,y+1/2,z)',
-                            '(x,y,-z+1/2)',
-                            '(x+1/2,-y+1/2,z+1/2)',
-                        ],
-                    },
-                    'c': {
-                        'multiplicity': 4,
-                        'site_symmetry': '.m.',
-                        'coords_xyz': ['(x,y,1/4)', '(x+1/2,-y+1/2,3/4)', '(-x,-y,3/4)', '(-x+1/2,y+1/2,1/4)'],
-                    },
-                    'b': {
-                        'multiplicity': 4,
-                        'site_symmetry': '-1',
-                        'coords_xyz': ['(1/2,0,0)', '(0,1/2,0)', '(1/2,0,1/2)', '(0,1/2,1/2)'],
-                    },
-                    'a': {
-                        'multiplicity': 4,
-                        'site_symmetry': '-1',
-                        'coords_xyz': ['(0,0,0)', '(1/2,1/2,0)', '(0,0,1/2)', '(1/2,1/2,1/2)'],
-                    },
-                },
-            },
-        ),
-        (
-            (199, '1'),
-            {
-                'IT_number': 199,
-                'setting': 0,
-                'IT_coordinate_system_code': '1',
-                'name_H-M_alt': 'I 21 3',
-                'crystal_system': 'cubic',
-                'Wyckoff_positions': {
-                    'c': {
-                        'multiplicity': 24,
-                        'site_symmetry': '1',
-                        'coords_xyz': [
-                            '(x,y,z)',
-                            '(-x+1/2,-y,z+1/2)',
-                            '(-x,y+1/2,-z+1/2)',
-                            '(x+1/2,-y+1/2,-z)',
-                            '(z,x,y)',
-                            '(z+1/2,-x+1/2,-y)',
-                            '(-z+1/2,-x,y+1/2)',
-                            '(-z,x+1/2,-y+1/2)',
-                            '(y,z,x)',
-                            '(-y,z+1/2,-x+1/2)',
-                            '(y+1/2,-z+1/2,-x)',
-                            '(-y+1/2,-z,x+1/2)',
-                        ],
-                    },
-                    'b': {
-                        'multiplicity': 12,
-                        'site_symmetry': '2..',
-                        'coords_xyz': [
-                            '(x,0,1/4)',
-                            '(-x+1/2,0,3/4)',
-                            '(1/4,x,0)',
-                            '(3/4,-x+1/2,0)',
-                            '(0,1/4,x)',
-                            '(0,3/4,-x+1/2)',
-                        ],
-                    },
-                    'a': {
-                        'multiplicity': 8,
-                        'site_symmetry': '.3.',
-                        'coords_xyz': ['(x,x,x)', '(-x+1/2,-x,x+1/2)', '(-x,x+1/2,-x+1/2)', '(x+1/2,-x+1/2,-x)'],
-                    },
-                },
-            },
-        ),
-    ],
-)
-def test_space_group_lookup_table_yields_expected(key, expected):
-    """Check the lookup table for a few keys and check that the output
-    matches the expected."""
-    entry = SPACE_GROUPS[key]
-
-    # Check that the keys are the same
-    assert set(entry.keys()) == set(expected.keys())
-
-    # Check the non-nested fields first
-    for sub_key in expected.keys():
-        if sub_key == 'Wyckoff_positions':
-            continue
-        assert expected[sub_key] == entry[sub_key]
-
-    # Then check Wyckoff
-    wyckoff_entry = entry['Wyckoff_positions']
-    wyckoff_expected = expected['Wyckoff_positions']
-    for site in wyckoff_expected.keys():
-        assert site in wyckoff_expected.keys()
-        assert wyckoff_entry[site]['multiplicity'] == wyckoff_expected[site]['multiplicity']
-        assert wyckoff_entry[site]['site_symmetry'] == wyckoff_expected[site]['site_symmetry']
-        assert np.all(wyckoff_entry[site]['coords_xyz'] == wyckoff_expected[site]['coords_xyz'])
diff --git a/tmp/Untitled.ipynb b/tmp/Untitled.ipynb
new file mode 100644
index 00000000..7bdab91d
--- /dev/null
+++ b/tmp/Untitled.ipynb
@@ -0,0 +1,567 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7ce64639-5512-494f-921f-389ad26c5740",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Hello <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">world</span>\n",
+       "AAAAAAAA\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Hello \u001b[1;34mworld\u001b[0m\n",
+       "AAAAAAAA\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from rich.console import Console\n",
+    "\n",
+    "console = Console(force_jupyter=True)  # 👈\n",
+    "console.print(\"Hello [bold blue]world[/]\\nAAAAAAAA\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "fc8d40ec-4b9d-4ffa-90a8-c8ad386df434",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1;36m1\u001b[0m Hello \u001b[1;34mworld\u001b[0m\n",
+      "\u001b[1;36m2\u001b[0m Hello \u001b[38;5;244mworld\u001b[0m\n",
+      "\u001b[1;36m3\u001b[0m Hello \u001b[38;5;249mworld\u001b[0m\n",
+      "\u001b[1;36m4\u001b[0m Hello \u001b[2;37mworld\u001b[0m\n",
+      "\u001b[1;36m5\u001b[0m Hello \u001b[2;30mworld\u001b[0m\n",
+      "\u001b[1;36m6\u001b[0m Hello \u001b[2mworld\u001b[0m\n",
+      "\u001b[1;36m7\u001b[0m Hello world\n",
+      "\n",
+      "\u001b[1;36m6\u001b[0m Hello \u001b[2;38;5;244mdim grey50\u001b[0m\n",
+      "\u001b[1;36m6\u001b[0m Hello \u001b[38;5;244mgrey50\u001b[0m\n",
+      "\u001b[1;36m7\u001b[0m Hello bright grey50\n"
+     ]
+    }
+   ],
+   "source": [
+    "from rich.console import Console\n",
+    "\n",
+    "console = Console(force_jupyter=False)  # 👈\n",
+    "console.print(\"1 Hello [bold blue]world[/]\")\n",
+    "console.print(\"2 Hello [grey50]world[/]\")\n",
+    "console.print(\"3 Hello [grey70]world[/]\")\n",
+    "console.print(\"4 Hello [dim white]world[/]\")\n",
+    "console.print(\"5 Hello [dim black]world[/]\")\n",
+    "console.print(\"6 Hello [dim]world[/]\")\n",
+    "console.print(\"7 Hello [bright]world[/]\")\n",
+    "print()\n",
+    "console.print(\"6 Hello [dim grey50]dim grey50[/]\")\n",
+    "console.print(\"6 Hello [grey50]grey50[/]\")\n",
+    "console.print(\"7 Hello [bright grey50]bright grey50[/]\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "40231304-bf01-48b9-be64-0b6798125d48",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Hello <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">world</span>\n",
+       "AAAAAAAA\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Hello \u001b[1;34mworld\u001b[0m\n",
+       "AAAAAAAA\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "truecolor\n",
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "from rich.console import Console\n",
+    "\n",
+    "console = Console(force_terminal=False)  # 👈\n",
+    "console.print(\"Hello [bold blue]world[/]\\nAAAAAAAA\")\n",
+    "print(console.color_system)\n",
+    "print(console.is_terminal) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "61d773d3-1863-4d24-80b0-d523451be009",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys, os\n",
+    "sys.path.insert(0, \"src\")\n",
+    "os.chdir(\"/Users/andrewsazonov/Development/github.com/EasyScience/diffraction-lib\")\n",
+    "#import easydiffraction as ed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9019701a-9e14-4d36-8d0e-d1ad8d6fa93c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project = ed.Project()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "592db368-51ca-41fa-9f06-c6778435d79c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import easydiffraction as ed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e3a3524126508069",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   \u001b[1;34mSupported plotter engines\u001b[0m                                                                                                      \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>.ed-tbl th, .ed-tbl td { line-height: 1.9 !important;padding-top: 0.0em !important; padding-bottom: 0.0em !important; padding-left: 0.6em !important; padding-right: 0.6em !important; }.ed-tbl th div, .ed-tbl td div { line-height: 1.9 !important;padding-top: 0.0em !important; padding-bottom: 0.0em !important; padding-left: 0.6em !important; padding-right: 0.6em !important; }.ed-tbl thead th { border-bottom: 1px solid color-mix(in srgb, currentColor 20%, transparent) !important; }.ed-tbl tbody th { font-weight: normal !important; opacity: 0.5 !important; color: inherit !important; }</style><table class=\"dataframe ed-tbl\" style=\"border-collapse: separate; border: 1px solid color-mix(in srgb, currentColor 20%, transparent); margin-left: 0.4em;margin-top: 0.5em;margin-bottom: 1em;max-width: 60em;\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th style=\"text-align: left;\">Engine</th>\n",
+       "      <th style=\"text-align: left;\">Description</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td><div style=\"text-align: left;\">asciichartpy</div></td>\n",
+       "      <td><div style=\"text-align: left;\">Console ASCII line charts</div></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td><div style=\"text-align: left;\">plotly</div></td>\n",
+       "      <td><div style=\"text-align: left;\">Interactive browser-based graphing library</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "project.plotter.show_supported_engines()\n",
+    "#project.plotter.show_config()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "cf5ca4a5-3dfe-4b47-a722-35825a2a9e68",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   \u001b[1;34mSupported engines\u001b[0m                                                                                                              \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Engine</th>\n",
+       "      <th>Description</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>rich</td>\n",
+       "      <td>Console rendering with Rich</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>pandas</td>\n",
+       "      <td>Jupyter DataFrame rendering with Pandas</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Engine                              Description\n",
+       "0    rich              Console rendering with Rich\n",
+       "1  pandas  Jupyter DataFrame rendering with Pandas"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "project.tabler.show_supported_engines()\n",
+    "#project.tabler.show_config()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "2c781d36-4881-4c1e-a193-94b0fb6b7d6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Engine is already set to \u001b[32m'pandas'\u001b[0m. No change made.                                                                       \n"
+     ]
+    }
+   ],
+   "source": [
+    "project.tabler.engine = 'pandas'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "4d08c275-2da6-4ad3-b0d1-cc0c8f668b8d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Engine is already set to \u001b[32m'rich'\u001b[0m. No change made.                                                                         \n"
+     ]
+    }
+   ],
+   "source": [
+    "project.tabler.engine = 'rich'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "58f9bd70-2384-44a5-b3cb-10becdae52c7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   \u001b[1;34mSupported plotter engines\u001b[0m                                                                                                      \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>.ed-tbl th, .ed-tbl td { line-height: 1.9 !important;padding-top: 0.0em !important; padding-bottom: 0.0em !important; padding-left: 0.6em !important; padding-right: 0.6em !important; }.ed-tbl th div, .ed-tbl td div { line-height: 1.9 !important;padding-top: 0.0em !important; padding-bottom: 0.0em !important; padding-left: 0.6em !important; padding-right: 0.6em !important; }.ed-tbl thead th { border-bottom: 1px solid color-mix(in srgb, currentColor 20%, transparent) !important; }.ed-tbl tbody th { font-weight: normal !important; opacity: 0.5 !important; color: inherit !important; }</style><table class=\"dataframe ed-tbl\" style=\"border-collapse: separate; border: 1px solid color-mix(in srgb, currentColor 20%, transparent); margin-left: 0.4em;margin-top: 0.5em;margin-bottom: 1em;max-width: 60em;\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th style=\"text-align: left;\">Engine</th>\n",
+       "      <th style=\"text-align: left;\">Description</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td><div style=\"text-align: left;\">asciichartpy</div></td>\n",
+       "      <td><div style=\"text-align: left;\">Console ASCII line charts</div></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td><div style=\"text-align: left;\">plotly</div></td>\n",
+       "      <td><div style=\"text-align: left;\">Interactive browser-based graphing library</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "project.plotter.show_supported_engines()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "f0374d85-e74a-4af7-bb90-1e58b4d68732",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Engine \u001b[32m'rich2'\u001b[0m is not supported. Available engines: \u001b[32m'rich'\u001b[0m, \u001b[32m'pandas'\u001b[0m                                                     \n"
+     ]
+    }
+   ],
+   "source": [
+    "project.tabler.engine = 'rich2'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "a7a805fe-735b-4df6-a1f7-9180e4aa845d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   \u001b[1;34mSupported engines\u001b[0m                                                                                                              \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">╭─────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Traceback </span><span style=\"color: #bf7f7f; text-decoration-color: #bf7f7f; font-weight: bold\">(most recent call last)</span><span style=\"color: #800000; text-decoration-color: #800000\"> ────────────────────────────────╮</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> in &lt;module&gt;:1                                                                                    <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>1 <span style=\"font-weight: bold; text-decoration: underline\">project.tabler.show_supported_engines()</span>                                                      <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">2 </span>                                                                                             <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">lay/</span><span style=\"font-weight: bold\">base.py</span>:71 in show_supported_engines                                                         <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">68 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>log.paragraph(<span style=\"color: #808000; text-decoration-color: #808000\">'Supported engines'</span>)                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">69 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"># from easydiffraction.utils.utils import render_table</span>                              <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">70 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"># render_table(headers, rows)</span>                                                       <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>71 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">self</span><span style=\"font-weight: bold; text-decoration: underline\">.render(headers, rows)</span>                                                          <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">72 </span>                                                                                            <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">73 </span>                                                                                            <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">74 </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">class</span><span style=\"color: #808080; text-decoration-color: #808080\"> </span><span style=\"color: #00ff00; text-decoration-color: #00ff00; text-decoration: underline\">RendererFactoryBase</span>(ABC):                                                             <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">lay/</span><span style=\"font-weight: bold\">tables.py</span>:45 in render                                                                       <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">42 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>*,                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">43 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>align: Sequence[<span style=\"color: #00ffff; text-decoration-color: #00ffff\">str</span>] | <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span> = <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span>,                                                 <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">44 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   </span>) -&gt; Any:                                                                               <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>45 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">return</span> <span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">self</span><span style=\"font-weight: bold; text-decoration: underline\">._backend.render(</span>                                                        <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">46 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"font-weight: bold; text-decoration: underline\">headers=headers,</span>                                                                <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">47 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"font-weight: bold; text-decoration: underline\">rows=rows,</span>                                                                      <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">48 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"font-weight: bold; text-decoration: underline\">align=align,</span>                                                                    <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">lay/tablers/</span><span style=\"font-weight: bold\">rich.py</span>:53 in render                                                                 <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">50 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>align: Sequence[<span style=\"color: #00ffff; text-decoration-color: #00ffff\">str</span>] | <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span> = <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span>,                                                 <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">51 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   </span>) -&gt; Any:                                                                               <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">52 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>table = Table(                                                                      <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>53 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span>title=<span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span>, box=<span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">self</span><span style=\"font-weight: bold; text-decoration: underline\">._box</span>, show_header=<span style=\"color: #0000ff; text-decoration-color: #0000ff\">True</span>, header_style=<span style=\"color: #808000; text-decoration-color: #808000\">'bold'</span>, border_sty    <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">54 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>)                                                                                   <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">55 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">for</span> i, header <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">in</span> <span style=\"color: #00ffff; text-decoration-color: #00ffff\">enumerate</span>(headers):                                                <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">56 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">if</span> align <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">is</span> <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">not</span> <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span> <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">and</span> i &lt; <span style=\"color: #00ffff; text-decoration-color: #00ffff\">len</span>(align):                                        <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">lay/tablers/</span><span style=\"font-weight: bold\">rich.py</span>:31 in _box                                                                   <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">28 </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">│   │   </span><span style=\"color: #808000; text-decoration-color: #808000\">│ ││ foot</span>                                                                           <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">29 </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">│   │   </span><span style=\"color: #808000; text-decoration-color: #808000\">└─┴┘ bottom</span>                                                                         <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">30 </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">│   │   </span><span style=\"color: #808000; text-decoration-color: #808000\">\"\"\"</span>                                                                                 <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>31 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">return</span> <span style=\"font-weight: bold; text-decoration: underline\">Box(</span>                                                                         <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">32 </span><span style=\"color: #bfbfbf; text-decoration-color: #bfbfbf\">│   │   │   </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">\"\"\"\\</span>                                                                            <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">33 </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">│   │   │   │   </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">┌──┐</span>                                                                        <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">34 </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">│   │   │   │   </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">│  │</span>                                                                        <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/.pixi/envs/default/lib/p</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">ython3.13/site-packages/rich/</span><span style=\"font-weight: bold\">box.py</span>:30 in __init__                                               <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 27 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">def</span><span style=\"color: #808080; text-decoration-color: #808080\"> </span><span style=\"color: #00ff00; text-decoration-color: #00ff00\">__init__</span>(<span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>, box: <span style=\"color: #00ffff; text-decoration-color: #00ffff\">str</span>, *, ascii: <span style=\"color: #00ffff; text-decoration-color: #00ffff\">bool</span> = <span style=\"color: #0000ff; text-decoration-color: #0000ff\">False</span>) -&gt; <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span>:                          <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 28 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>._box = box                                                                    <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 29 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>.ascii = ascii                                                                 <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span> 30 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"font-weight: bold; text-decoration: underline\">line1, line2, line3, line4, line5, line6, line7, line8</span> = box.splitlines()          <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 31 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"># top</span>                                                                              <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>.top_left, <span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>.top, <span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>.top_divider, <span style=\"color: #00ffff; text-decoration-color: #00ffff\">self</span>.top_right = <span style=\"color: #00ffff; text-decoration-color: #00ffff\">iter</span>(line1)            <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 33 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"># head</span>                                                                             <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">╰──────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
+       "<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-weight: bold\">ValueError: </span>too many values to unpack <span style=\"font-weight: bold\">(</span>expected <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span><span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
+       "\u001b[31m│\u001b[0m in <module>:1                                                                                    \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1 \u001b[1;4mproject.tabler.show_supported_engines()\u001b[0m                                                      \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m2 \u001b[0m                                                                                             \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2mlay/\u001b[0m\u001b[1mbase.py\u001b[0m:71 in show_supported_engines                                                         \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m68 \u001b[0m\u001b[2m│   │   \u001b[0mlog.paragraph(\u001b[33m'\u001b[0m\u001b[33mSupported engines\u001b[0m\u001b[33m'\u001b[0m)                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m69 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# from easydiffraction.utils.utils import render_table\u001b[0m                              \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m70 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# render_table(headers, rows)\u001b[0m                                                       \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m71 \u001b[2m│   │   \u001b[0m\u001b[1;4;96mself\u001b[0m\u001b[1;4m.render(headers, rows)\u001b[0m                                                          \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m72 \u001b[0m                                                                                            \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m73 \u001b[0m                                                                                            \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m74 \u001b[0m\u001b[94mclass\u001b[0m\u001b[90m \u001b[0m\u001b[4;92mRendererFactoryBase\u001b[0m(ABC):                                                             \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2mlay/\u001b[0m\u001b[1mtables.py\u001b[0m:45 in render                                                                       \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m42 \u001b[0m\u001b[2m│   │   \u001b[0m*,                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m43 \u001b[0m\u001b[2m│   │   \u001b[0malign: Sequence[\u001b[96mstr\u001b[0m] | \u001b[94mNone\u001b[0m = \u001b[94mNone\u001b[0m,                                                 \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m44 \u001b[0m\u001b[2m│   \u001b[0m) -> Any:                                                                               \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m45 \u001b[2m│   │   \u001b[0m\u001b[94mreturn\u001b[0m \u001b[1;4;96mself\u001b[0m\u001b[1;4m._backend.render(\u001b[0m                                                        \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m46 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[1;4mheaders=headers,\u001b[0m                                                                \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m47 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[1;4mrows=rows,\u001b[0m                                                                      \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m48 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[1;4malign=align,\u001b[0m                                                                    \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2mlay/tablers/\u001b[0m\u001b[1mrich.py\u001b[0m:53 in render                                                                 \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m50 \u001b[0m\u001b[2m│   │   \u001b[0malign: Sequence[\u001b[96mstr\u001b[0m] | \u001b[94mNone\u001b[0m = \u001b[94mNone\u001b[0m,                                                 \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m51 \u001b[0m\u001b[2m│   \u001b[0m) -> Any:                                                                               \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m52 \u001b[0m\u001b[2m│   │   \u001b[0mtable = Table(                                                                      \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m53 \u001b[2m│   │   │   \u001b[0mtitle=\u001b[94mNone\u001b[0m, box=\u001b[1;4;96mself\u001b[0m\u001b[1;4m._box\u001b[0m, show_header=\u001b[94mTrue\u001b[0m, header_style=\u001b[33m'\u001b[0m\u001b[33mbold\u001b[0m\u001b[33m'\u001b[0m, border_sty    \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m54 \u001b[0m\u001b[2m│   │   \u001b[0m)                                                                                   \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m55 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mfor\u001b[0m i, header \u001b[95min\u001b[0m \u001b[96menumerate\u001b[0m(headers):                                                \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m56 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[94mif\u001b[0m align \u001b[95mis\u001b[0m \u001b[95mnot\u001b[0m \u001b[94mNone\u001b[0m \u001b[95mand\u001b[0m i < \u001b[96mlen\u001b[0m(align):                                        \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/disp\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2mlay/tablers/\u001b[0m\u001b[1mrich.py\u001b[0m:31 in _box                                                                   \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m28 \u001b[0m\u001b[2;33m│   │   \u001b[0m\u001b[33m│ ││ foot\u001b[0m                                                                           \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m29 \u001b[0m\u001b[2;33m│   │   \u001b[0m\u001b[33m└─┴┘ bottom\u001b[0m                                                                         \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m30 \u001b[0m\u001b[2;33m│   │   \u001b[0m\u001b[33m\"\"\"\u001b[0m                                                                                 \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m31 \u001b[2m│   │   \u001b[0m\u001b[94mreturn\u001b[0m \u001b[1;4mBox(\u001b[0m                                                                         \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m32 \u001b[0m\u001b[2;90m│   │   │   \u001b[0m\u001b[1;4;33m\"\"\"\\\u001b[0m                                                                            \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m33 \u001b[0m\u001b[2;33m│   │   │   │   \u001b[0m\u001b[1;4;33m┌──┐\u001b[0m                                                                        \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m34 \u001b[0m\u001b[2;33m│   │   │   │   \u001b[0m\u001b[1;4;33m│  │\u001b[0m                                                                        \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/.pixi/envs/default/lib/p\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2mython3.13/site-packages/rich/\u001b[0m\u001b[1mbox.py\u001b[0m:30 in __init__                                               \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 27 \u001b[0m\u001b[2m│   \u001b[0m\u001b[94mdef\u001b[0m\u001b[90m \u001b[0m\u001b[92m__init__\u001b[0m(\u001b[96mself\u001b[0m, box: \u001b[96mstr\u001b[0m, *, ascii: \u001b[96mbool\u001b[0m = \u001b[94mFalse\u001b[0m) -> \u001b[94mNone\u001b[0m:                          \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 28 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[96mself\u001b[0m._box = box                                                                    \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 29 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[96mself\u001b[0m.ascii = ascii                                                                 \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 30 \u001b[2m│   │   \u001b[0m\u001b[1;4mline1, line2, line3, line4, line5, line6, line7, line8\u001b[0m = box.splitlines()          \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 31 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# top\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 32 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[96mself\u001b[0m.top_left, \u001b[96mself\u001b[0m.top, \u001b[96mself\u001b[0m.top_divider, \u001b[96mself\u001b[0m.top_right = \u001b[96miter\u001b[0m(line1)            \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 33 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# head\u001b[0m                                                                             \u001b[31m│\u001b[0m\n",
+       "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
+       "\u001b[1;91mValueError: \u001b[0mtoo many values to unpack \u001b[1m(\u001b[0mexpected \u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "project.tabler.show_supported_engines()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5fe7811-34e3-464e-aa97-6f5ca755a0e1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c587e0b-4d38-4cb6-aee9-083d038b9d9f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7838cbe-03d6-482b-98cb-7c216f9bb2f6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (Pixi)",
+   "language": "python",
+   "name": "pixi-kernel-python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tmp/Untitled0.ipynb b/tmp/Untitled0.ipynb
new file mode 100644
index 00000000..b8f6e58b
--- /dev/null
+++ b/tmp/Untitled0.ipynb
@@ -0,0 +1,492 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "2b4ff90d-5a58-4202-ac2a-874168a2c6a2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from easydiffraction.sample_models.categories.atom_sites import AtomSite\n",
+    "from easydiffraction.sample_models.categories.cell import Cell\n",
+    "from easydiffraction.sample_models.categories.space_group import SpaceGroup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "1100c5b2-e00c-4513-bd2e-e30742d47e67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from easydiffraction.utils.logging import Logger\n",
+    "\n",
+    "Logger.configure(\n",
+    "    level=Logger.Level.WARNING,\n",
+    "    mode=Logger.Mode.VERBOSE,\n",
+    "    reaction=Logger.Reaction.WARN,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "a1a30af4-91c9-4015-9c96-a571fd1a711a",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "s1 = AtomSite(label='La', type_symbol='La')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "5f8217f7-e8cf-4202-8369-ced7438657f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1.fract_x.value = 1.234"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "4c9cf2fe-7f72-4b9d-a574-5eb8c40223c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95matom_site.La.fract_x\u001b[0m\u001b[1m>\u001b[0m. Expected `numeric`, got `str` \u001b[1m(\u001b[0m\u001b[32m'xyz'\u001b[0m\u001b[1m)\u001b[0m. Keeping current \u001b[1;36m1.234\u001b[0m.        \n"
+     ]
+    }
+   ],
+   "source": [
+    "s1.fract_x.value = 'xyz'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "cba23ca5-a865-428b-b1c8-90e38787e593",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95matom_site.La.fract_x\u001b[0m\u001b[1m>\u001b[0m. Expected `numeric`, got `str` \u001b[1m(\u001b[0m\u001b[32m'qwe'\u001b[0m\u001b[1m)\u001b[0m. Keeping current \u001b[1;36m1.234\u001b[0m.        \n"
+     ]
+    }
+   ],
+   "source": [
+    "s1.fract_x = 'qwe'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "3ba30971-177b-40e4-b477-e79a00341f87",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95mfract_x\u001b[0m\u001b[1m>\u001b[0m. Expected `numeric`, got `str` \u001b[1m(\u001b[0m\u001b[32m'uuuu'\u001b[0m\u001b[1m)\u001b[0m. Using default \u001b[1;36m0.0\u001b[0m.                        \n"
+     ]
+    }
+   ],
+   "source": [
+    "s1 = AtomSite(label='Si', type_symbol='Si', fract_x='uuuu')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "992966e7-6bb7-4bc7-bbff-80acfea6fd2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1.fract_x.free = True"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "50ef6ebd-097d-4df2-93dc-39243bdba6fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95matom_site.Si.fract_x.free\u001b[0m\u001b[1m>\u001b[0m. Expected `bool`, got `str` \u001b[1m(\u001b[0m\u001b[32m'abc'\u001b[0m\u001b[1m)\u001b[0m. Keeping current \u001b[3;92mTrue\u001b[0m.       \n"
+     ]
+    }
+   ],
+   "source": [
+    "s1.fract_x.free = 'abc'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "2c46e9ca-f68d-4b71-b783-6660f357322c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c = Cell()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "8e3fee6f-dc71-49a0-bf67-6f85f4ba83cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mlength_b\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[1;36m-8.8\u001b[0m outside \u001b[1m[\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m1000\u001b[0m\u001b[1m]\u001b[0m. Using default \u001b[1;36m10.0\u001b[0m.                            \n"
+     ]
+    }
+   ],
+   "source": [
+    "c = Cell(length_b=-8.8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "749e3f57-1097-4939-b853-4c67148fb831",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95mlength_b\u001b[0m\u001b[1m>\u001b[0m. Expected `numeric`, got `str` \u001b[1m(\u001b[0m\u001b[32m'7.7'\u001b[0m\u001b[1m)\u001b[0m. Using default \u001b[1;36m10.0\u001b[0m.                       \n"
+     ]
+    }
+   ],
+   "source": [
+    "c = Cell(length_b='7.7')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "f06c5fa7-372c-4d76-b749-634d92fe6d11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c = Cell(length_b=6.6)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "70fd1bf8-e7a3-4576-bed2-b60edf8a8097",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[1;36m-5.5\u001b[0m outside \u001b[1m[\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m1000\u001b[0m\u001b[1m]\u001b[0m. Keeping current \u001b[1;36m6.6\u001b[0m.                      \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b.value = -5.5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "b1277593-dea1-44c9-ac7e-d113f4ee3fda",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[1;36m-4.4\u001b[0m outside \u001b[1m[\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m1000\u001b[0m\u001b[1m]\u001b[0m. Keeping current \u001b[1;36m6.6\u001b[0m.                      \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b = -4.4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "e174a5cf-2653-431b-a665-f88a8e4423f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c.length_b = 3.3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "9b429e1d-eabd-4e35-a3b7-1a9b752bb4f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[1;36m2222.2\u001b[0m outside \u001b[1m[\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m1000\u001b[0m\u001b[1m]\u001b[0m. Keeping current \u001b[1;36m3.3\u001b[0m.                    \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b = 2222.2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "65d2c0fb-8e35-493c-a3e3-24421e9326bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b.free\u001b[0m\u001b[1m>\u001b[0m. Expected `bool`, got `str` \u001b[1m(\u001b[0m\u001b[32m'qwe'\u001b[0m\u001b[1m)\u001b[0m. Keeping current \u001b[3;91mFalse\u001b[0m.             \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b.free = 'qwe'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "4475ed9b-74d1-4080-8e57-0099b35e94f5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Unknown attribute \u001b[32m'fre'\u001b[0m of \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b\u001b[0m\u001b[1m>\u001b[0m. Did you mean \u001b[32m'free'\u001b[0m?                                               \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b.fre = 'fre'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "e3d37a6d-9ec8-4d96-8f95-ce7b67e65f36",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Unknown attribute \u001b[32m'qwe'\u001b[0m of \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b\u001b[0m\u001b[1m>\u001b[0m. Allowed writable: \u001b[32m'fit_max'\u001b[0m, \u001b[32m'fit_min'\u001b[0m, \u001b[32m'free'\u001b[0m, \u001b[32m'uncertainty'\u001b[0m,     \n",
+      "         \u001b[32m'value'\u001b[0m.                                                                                                       \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b.qwe = 'qwe'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "f108a56d-775c-4d4e-aedf-ecc4ead28178",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Cannot modify read-only attribute \u001b[32m'description'\u001b[0m of \u001b[1m<\u001b[0m\u001b[1;95mcell.length_b\u001b[0m\u001b[1m>\u001b[0m.                                            \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.length_b.description = 'desc'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "382d6221-0074-4ec8-84a8-ec51e117420a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Unknown attribute \u001b[32m'qwe'\u001b[0m of \u001b[1m<\u001b[0m\u001b[1;95mcell\u001b[0m\u001b[1m>\u001b[0m. Allowed writable: \u001b[32m'angle_alpha'\u001b[0m, \u001b[32m'angle_beta'\u001b[0m, \u001b[32m'angle_gamma'\u001b[0m, \u001b[32m'length_a'\u001b[0m,   \n",
+      "         \u001b[32m'length_b'\u001b[0m, \u001b[32m'length_c'\u001b[0m.                                                                                        \n"
+     ]
+    }
+   ],
+   "source": [
+    "c.qwe = 'qwe'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "7bf7bac1-79ce-45df-a2a8-c4b090359292",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sg = SpaceGroup()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "5c30d269-5167-4598-ac57-66715673d9b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mname_h_m\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[32m'qwe'\u001b[0m is unknown. \u001b[1m(\u001b[0m\u001b[1;36m230\u001b[0m allowed values not listed here\u001b[1m)\u001b[0m. Using default  \n",
+      "         \u001b[32m'P 1'\u001b[0m.                                                                                                         \n"
+     ]
+    }
+   ],
+   "source": [
+    "sg = SpaceGroup(name_h_m='qwe')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "c99fcf63-9536-4ea6-a30a-96367bb4aacb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mname_h_m\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[32m'P n m'\u001b[0m is unknown. \u001b[1m(\u001b[0m\u001b[1;36m230\u001b[0m allowed values not listed here\u001b[1m)\u001b[0m. Using default\n",
+      "         \u001b[32m'P 1'\u001b[0m.                                                                                                         \n",
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mit_coordinate_system_code\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[32m'cab'\u001b[0m is unknown. Allowed values: \u001b[32m''\u001b[0m. Using default   \n",
+      "         \u001b[32m''\u001b[0m.                                                                                                            \n"
+     ]
+    }
+   ],
+   "source": [
+    "sg = SpaceGroup(name_h_m='P n m', it_coordinate_system_code='cab')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "c2d7509e-a49b-4c2b-aa45-76a97de0761e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Value mismatch for \u001b[1m<\u001b[0m\u001b[1;95mit_coordinate_system_code\u001b[0m\u001b[1m>\u001b[0m. Provided \u001b[32m'cabd'\u001b[0m is unknown. Allowed values: \u001b[32m'-cba'\u001b[0m, \u001b[32m'a-cb'\u001b[0m,    \n",
+      "         \u001b[32m'abc'\u001b[0m, \u001b[32m'ba-c'\u001b[0m, \u001b[32m'bca'\u001b[0m, \u001b[32m'cab'\u001b[0m. Using default \u001b[32m'abc'\u001b[0m.                                                              \n"
+     ]
+    }
+   ],
+   "source": [
+    "sg = SpaceGroup(name_h_m='P n m a', it_coordinate_system_code='cabd')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "07db2ef2-58f3-4b46-8223-a2067254db51",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33mWARNING \u001b[0m Type mismatch for \u001b[1m<\u001b[0m\u001b[1;95mspace_group.name_h_m\u001b[0m\u001b[1m>\u001b[0m. Expected `string`, got `float` \u001b[1m(\u001b[0m\u001b[1;36m34.9\u001b[0m\u001b[1m)\u001b[0m. Keeping current \u001b[32m'P n m a'\u001b[0m.    \n"
+     ]
+    }
+   ],
+   "source": [
+    "sg.name_h_m = 34.9"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6934d72d-01a7-41e3-8684-5a1c6106e933",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sg.name_h_m = 'P 1'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8a152ec-5a11-4c38-bca4-7a4230218f34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sg.name_h_m = 'P n m a'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6626a960-6390-4e76-8f27-dc2cebbdd123",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cb299acb-0920-43f3-be25-c432544e1198",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (Pixi)",
+   "language": "python",
+   "name": "pixi-kernel-python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tmp/Untitled1.ipynb b/tmp/Untitled1.ipynb
new file mode 100644
index 00000000..6ebdcb97
--- /dev/null
+++ b/tmp/Untitled1.ipynb
@@ -0,0 +1,149 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e7e00e10-ee5c-48cb-87f0-a34f8162a39d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from easydiffraction import SampleModelFactory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "8aadcc06-0b34-40ea-a921-b326d2aa83e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from easydiffraction.utils.logging import Logger\n",
+    "\n",
+    "Logger.configure(\n",
+    "    level=Logger.Level.WARNING,\n",
+    "    mode=Logger.Mode.VERBOSE,\n",
+    "    reaction=Logger.Reaction.WARN,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "26c42a06-7efc-468a-9c57-640447900d83",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000\">╭─────────────────────────────── </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Traceback </span><span style=\"color: #bf7f7f; text-decoration-color: #bf7f7f; font-weight: bold\">(most recent call last)</span><span style=\"color: #800000; text-decoration-color: #800000\"> ────────────────────────────────╮</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> in &lt;module&gt;:1                                                                                    <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>1 model = <span style=\"font-weight: bold; text-decoration: underline\">SampleModelFactory.create(name=</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">'name'</span><span style=\"font-weight: bold; text-decoration: underline\">, cif_path=</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">'path'</span><span style=\"font-weight: bold; text-decoration: underline\">)</span>                              <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">2 </span>                                                                                             <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/samp</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">le_models/sample_model/</span><span style=\"font-weight: bold\">factory.py</span>:28 in create                                                   <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 25 </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">│   │   </span><span style=\"color: #808000; text-decoration-color: #808000\">\"\"\"</span>                                                                                <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 26 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"># Check for valid argument combinations</span>                                            <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 27 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>user_args = {k <span style=\"color: #0000ff; text-decoration-color: #0000ff\">for</span> k, v <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">in</span> kwargs.items() <span style=\"color: #0000ff; text-decoration-color: #0000ff\">if</span> v <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">is</span> <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">not</span> <span style=\"color: #0000ff; text-decoration-color: #0000ff\">None</span>}                        <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span> 28 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">cls</span><span style=\"font-weight: bold; text-decoration: underline\">._validate_args(user_args, </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">cls</span><span style=\"font-weight: bold; text-decoration: underline\">._ALLOWED_ARG_SPECS, </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">cls</span><span style=\"font-weight: bold; text-decoration: underline\">.</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-weight: bold; text-decoration: underline\">__name__</span><span style=\"font-weight: bold; text-decoration: underline\">)</span>                <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 29 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span>                                                                                   <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 30 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">if</span> <span style=\"color: #808000; text-decoration-color: #808000\">'cif_path'</span> <span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">in</span> kwargs:                                                           <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 31 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">return</span> <span style=\"color: #00ffff; text-decoration-color: #00ffff\">cls</span>._create_from_cif_path(kwargs[<span style=\"color: #808000; text-decoration-color: #808000\">'cif_path'</span>])                           <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/core</span> <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">/</span><span style=\"font-weight: bold\">factory.py</span>:29 in _validate_args                                                                 <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>                                                                                                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">26 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   │   </span>combos.append(<span style=\"color: #808000; text-decoration-color: #808000\">f'({</span>req<span style=\"color: #808000; text-decoration-color: #808000\">}[, {</span>opt<span style=\"color: #808000; text-decoration-color: #808000\">}])'</span>)                                          <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">27 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff\">else</span>:                                                                           <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">28 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   │   </span>combos.append(<span style=\"color: #808000; text-decoration-color: #808000\">f'({</span>req<span style=\"color: #808000; text-decoration-color: #808000\">})'</span>)                                                   <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span> <span style=\"color: #800000; text-decoration-color: #800000\">❱ </span>29 <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   </span><span style=\"color: #0000ff; text-decoration-color: #0000ff; font-weight: bold; text-decoration: underline\">raise</span><span style=\"font-weight: bold; text-decoration: underline\"> </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">ValueError</span><span style=\"font-weight: bold; text-decoration: underline\">(</span>                                                                   <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">30 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">f'Invalid argument combination for {</span><span style=\"font-weight: bold; text-decoration: underline\">factory_name</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">} creation.\\n'</span>                  <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">31 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">f'Provided: {</span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; text-decoration: underline\">sorted</span><span style=\"font-weight: bold; text-decoration: underline\">(present)</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">}\\n'</span>                                                <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">│</span>   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">32 </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│   │   │   </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">f'Allowed combinations:\\n  '</span><span style=\"font-weight: bold; text-decoration: underline\"> + </span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold; text-decoration: underline\">'\\n  '</span><span style=\"font-weight: bold; text-decoration: underline\">.join(combos)</span>                              <span style=\"color: #800000; text-decoration-color: #800000\">│</span>\n",
+       "<span style=\"color: #800000; text-decoration-color: #800000\">╰──────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
+       "<span style=\"color: #ff0000; text-decoration-color: #ff0000; font-weight: bold\">ValueError: </span>Invalid argument combination for SampleModelFactory creation.\n",
+       "Provided: <span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'cif_path'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'name'</span><span style=\"font-weight: bold\">]</span>\n",
+       "Allowed combinations:\n",
+       "  <span style=\"font-weight: bold\">(</span>name<span style=\"font-weight: bold\">)</span>\n",
+       "  <span style=\"font-weight: bold\">(</span>cif_path<span style=\"font-weight: bold\">)</span>\n",
+       "  <span style=\"font-weight: bold\">(</span>cif_str<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
+       "\u001b[31m│\u001b[0m in <module>:1                                                                                    \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1 model = \u001b[1;4mSampleModelFactory.create(name=\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4;33mname\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4m, cif_path=\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4;33mpath\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4m)\u001b[0m                              \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m2 \u001b[0m                                                                                             \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/samp\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2mle_models/sample_model/\u001b[0m\u001b[1mfactory.py\u001b[0m:28 in create                                                   \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 25 \u001b[0m\u001b[2;33m│   │   \u001b[0m\u001b[33m\"\"\"\u001b[0m                                                                                \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 26 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# Check for valid argument combinations\u001b[0m                                            \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 27 \u001b[0m\u001b[2m│   │   \u001b[0muser_args = {k \u001b[94mfor\u001b[0m k, v \u001b[95min\u001b[0m kwargs.items() \u001b[94mif\u001b[0m v \u001b[95mis\u001b[0m \u001b[95mnot\u001b[0m \u001b[94mNone\u001b[0m}                        \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 28 \u001b[2m│   │   \u001b[0m\u001b[1;4;96mcls\u001b[0m\u001b[1;4m._validate_args(user_args, \u001b[0m\u001b[1;4;96mcls\u001b[0m\u001b[1;4m._ALLOWED_ARG_SPECS, \u001b[0m\u001b[1;4;96mcls\u001b[0m\u001b[1;4m.\u001b[0m\u001b[1;4;91m__name__\u001b[0m\u001b[1;4m)\u001b[0m                \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 29 \u001b[0m\u001b[2m│   │   \u001b[0m                                                                                   \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 30 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mif\u001b[0m \u001b[33m'\u001b[0m\u001b[33mcif_path\u001b[0m\u001b[33m'\u001b[0m \u001b[95min\u001b[0m kwargs:                                                           \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m 31 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mcls\u001b[0m._create_from_cif_path(kwargs[\u001b[33m'\u001b[0m\u001b[33mcif_path\u001b[0m\u001b[33m'\u001b[0m])                           \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src/easydiffraction/core\u001b[0m \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[2m/\u001b[0m\u001b[1mfactory.py\u001b[0m:29 in _validate_args                                                                 \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m                                                                                                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m26 \u001b[0m\u001b[2m│   │   │   │   \u001b[0mcombos.append(\u001b[33mf\u001b[0m\u001b[33m'\u001b[0m\u001b[33m(\u001b[0m\u001b[33m{\u001b[0mreq\u001b[33m}\u001b[0m\u001b[33m[, \u001b[0m\u001b[33m{\u001b[0mopt\u001b[33m}\u001b[0m\u001b[33m])\u001b[0m\u001b[33m'\u001b[0m)                                          \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m27 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[94melse\u001b[0m:                                                                           \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m28 \u001b[0m\u001b[2m│   │   │   │   \u001b[0mcombos.append(\u001b[33mf\u001b[0m\u001b[33m'\u001b[0m\u001b[33m(\u001b[0m\u001b[33m{\u001b[0mreq\u001b[33m}\u001b[0m\u001b[33m)\u001b[0m\u001b[33m'\u001b[0m)                                                   \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m29 \u001b[2m│   │   \u001b[0m\u001b[1;4;94mraise\u001b[0m\u001b[1;4m \u001b[0m\u001b[1;4;96mValueError\u001b[0m\u001b[1;4m(\u001b[0m                                                                   \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m30 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[1;4;33mf\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4;33mInvalid argument combination for \u001b[0m\u001b[1;4;33m{\u001b[0m\u001b[1;4mfactory_name\u001b[0m\u001b[1;4;33m}\u001b[0m\u001b[1;4;33m creation.\u001b[0m\u001b[1;4;33m\\n\u001b[0m\u001b[1;4;33m'\u001b[0m                  \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m31 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[1;4;33mf\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4;33mProvided: \u001b[0m\u001b[1;4;33m{\u001b[0m\u001b[1;4;96msorted\u001b[0m\u001b[1;4m(present)\u001b[0m\u001b[1;4;33m}\u001b[0m\u001b[1;4;33m\\n\u001b[0m\u001b[1;4;33m'\u001b[0m                                                \u001b[31m│\u001b[0m\n",
+       "\u001b[31m│\u001b[0m   \u001b[2m32 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[1;4;33mf\u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4;33mAllowed combinations:\u001b[0m\u001b[1;4;33m\\n\u001b[0m\u001b[1;4;33m  \u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4m + \u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4;33m\\n\u001b[0m\u001b[1;4;33m  \u001b[0m\u001b[1;4;33m'\u001b[0m\u001b[1;4m.join(combos)\u001b[0m                              \u001b[31m│\u001b[0m\n",
+       "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
+       "\u001b[1;91mValueError: \u001b[0mInvalid argument combination for SampleModelFactory creation.\n",
+       "Provided: \u001b[1m[\u001b[0m\u001b[32m'cif_path'\u001b[0m, \u001b[32m'name'\u001b[0m\u001b[1m]\u001b[0m\n",
+       "Allowed combinations:\n",
+       "  \u001b[1m(\u001b[0mname\u001b[1m)\u001b[0m\n",
+       "  \u001b[1m(\u001b[0mcif_path\u001b[1m)\u001b[0m\n",
+       "  \u001b[1m(\u001b[0mcif_str\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "model = SampleModelFactory.create(name='name', cif_path='path')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6b0cec6-220d-476b-b918-b66e8322a3e9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (Pixi)",
+   "language": "python",
+   "name": "pixi-kernel-python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tmp/Untitled2.ipynb b/tmp/Untitled2.ipynb
new file mode 100644
index 00000000..363fcab7
--- /dev/null
+++ b/tmp/Untitled2.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tmp/_gemmi.py b/tmp/_gemmi.py
new file mode 100644
index 00000000..6c488ddd
--- /dev/null
+++ b/tmp/_gemmi.py
@@ -0,0 +1,613 @@
+#from easydiffraction.utils.logging import Logger
+#Logger.configure(
+#    level=Logger.Level.INFO,
+#    mode=Logger.Mode.VERBOSE,
+#    reaction=Logger.Reaction.WARN,
+#)
+
+import time
+import gemmi
+import numpy as np
+import scipp as sc
+
+doc = gemmi.cif.read_file("data/hrpt.cif")
+block = doc.sole_block()
+
+t0 = time.perf_counter()
+col1 = block.find_loop('_pd_meas.2theta_scan')
+t1 = time.perf_counter()
+print("find_loop:", t1 - t0, "s")
+
+t0 = time.perf_counter()
+col2 = block.find_values('_pd_meas.2theta_scan')
+t1 = time.perf_counter()
+print("find_values:", t1 - t0, "s")
+
+t0 = time.perf_counter()
+l = list(col2)
+t1 = time.perf_counter()
+print("list(col2):", t1 - t0, "s")
+
+t0 = time.perf_counter()
+loop = col2.get_loop()
+t1 = time.perf_counter()
+print("col2.get_loop():", t1 - t0, "s")
+
+
+t0 = time.perf_counter()
+loop = col2.get_loop()  # or block.find_loop(...)
+vals = loop.values      # flat list of strings
+t1 = time.perf_counter()
+print("vars:", t1 - t0, "s")
+
+t0 = time.perf_counter()
+nrow = loop.length()
+ncol = loop.width()
+t1 = time.perf_counter()
+print("size:", t1 - t0, "s")
+
+
+
+# Convert all to float and reshape
+t0 = time.perf_counter()
+arr = np.fromiter((float(v) for v in vals),
+                  dtype=np.float64,
+                  count=nrow*ncol).reshape(nrow, ncol)
+t1 = time.perf_counter()
+print("np.fromiter:", t1 - t0, "s")
+
+t0 = time.perf_counter()
+np_arr = np.array(loop.values, dtype=np.float64).reshape(loop.length(), loop.width())
+t1 = time.perf_counter()
+print("np.array.reshape:", t1 - t0, "s")
+
+print('np_arr:', np_arr)
+
+t0 = time.perf_counter()
+arr = np.array(loop.values, dtype=np.float64).reshape(loop.length(), loop.width()).T
+t1 = time.perf_counter()
+print("np.array.reshape.T:", t1 - t0, "s")
+
+print('arr:', arr)
+
+t0 = time.perf_counter()
+data = {tag: arr[i] for i, tag in enumerate(loop.tags)}
+t1 = time.perf_counter()
+print("make data:", t1 - t0, "s")
+
+#print('data:', data)
+print('data._pd_meas.2theta_scan:', data['_pd_meas.2theta_scan'])
+print('data._pd_meas.intensity_total:', data['_pd_meas.intensity_total'])
+print('data._pd_meas.intensity_total_su:', data['_pd_meas.intensity_total_su'])
+
+print(arr.size, arr[0].size)
+
+ncol = arr.shape[0]
+nrow = arr.shape[1]
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = {}
+    for j in range(ncol):
+        item[loop.tags[j]] = arr[j, i]
+    collection.append(item)
+t1 = time.perf_counter()
+print("- make collection:", t1 - t0, "s")
+print('  collection[1]:', collection[1])
+
+from easydiffraction.experiments.categories.data.bragg_pd import PdCwlData, PdCwlDataPoint
+
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    collection.append(item)
+t1 = time.perf_counter()
+print("- init multiple PdCwlDataPoint:", t1 - t0, "s")
+print('  collection[1]:', collection[1])
+
+
+
+
+# Insert test code here
+
+# Test smart collection approach
+from easydiffraction.experiments.categories.data.smart_pd import SmartPdCwlData
+
+# Test 1: Smart collection with pre-allocated arrays
+t0 = time.perf_counter()
+smart_collection = SmartPdCwlData()
+smart_collection.add_from_arrays(
+    two_theta=arr[0],
+    intensity_meas=arr[1], 
+    intensity_meas_su=arr[2]
+)
+t1 = time.perf_counter()
+print("- make smart collection (bulk):", t1 - t0, "s")
+print('  collection[1]:', smart_collection[1])
+print('  collection[2].intensity_meas:', smart_collection[2].intensity_meas.value)
+print('  collection[3].intensity_meas:', smart_collection.intensity_meas.values[3])
+
+# Test 2: Smart collection with individual item creation (should be slower but still faster than original)
+t0 = time.perf_counter()
+smart_collection2 = SmartPdCwlData()
+for i in range(nrow):
+    point = smart_collection2.add_point()
+    point.two_theta.value = arr[0, i]
+    point.intensity_meas.value = arr[1, i]
+    point.intensity_meas_su.value = arr[2, i]
+t1 = time.perf_counter()
+print("- make smart collection (individual):", t1 - t0, "s")
+print('  collection[1]:', smart_collection2[1])
+
+# Test 3: Array-style bulk assignment
+t0 = time.perf_counter()
+smart_collection3 = SmartPdCwlData(nrow)
+smart_collection3.two_theta.values[:] = arr[0]
+smart_collection3.intensity_meas.values[:] = arr[1]
+smart_collection3.intensity_meas_su.values[:] = arr[2]
+t1 = time.perf_counter()
+print("- make smart collection (array assignment):", t1 - t0, "s")
+print('  collection[1]:', smart_collection3[1])
+
+
+# Test Smart Atom Sites with LBCO CIF data
+print("\n=== Smart Atom Sites Test ===")
+
+import gemmi
+from easydiffraction.sample_models.categories.smart_atom_sites import SmartAtomSites
+from easydiffraction.sample_models.categories.atom_sites import AtomSites, AtomSite
+from easydiffraction.core.validation import DataTypes
+
+# Add enhanced CIF methods to existing SmartAtomSites for testing
+def add_from_cif_arrays_method(self, cif_data, validate_all=True):
+    """Enhanced method to add atoms from CIF data with automatic type conversion."""
+    if not cif_data:
+        return
+        
+    # Build CIF name → internal attribute mapping
+    descriptor_map = {}
+    for attr_name in dir(type(self)):
+        if not attr_name.startswith('_'):
+            attr = getattr(type(self), attr_name, None)
+            if hasattr(attr, 'cif_handler') and hasattr(attr, 'value_spec'):
+                for cif_full_name in attr.cif_handler.names:
+                    cif_field = cif_full_name.replace('_atom_site.', '')
+                    descriptor_map[cif_field] = {
+                        'attr_name': attr_name,
+                        'descriptor': attr
+                    }
+    
+    converted_data = {}
+    
+    for cif_name, string_values in cif_data.items():
+        internal_attr = descriptor_map.get(cif_name)
+        if internal_attr:
+            attr_name = internal_attr['attr_name']
+            descriptor = internal_attr['descriptor']
+            
+            # Convert types based on descriptor.value_spec.type_
+            converted_values = []
+            for value_str in string_values:
+                try:
+                    if descriptor.value_spec.type_ == DataTypes.NUMERIC:
+                        if value_str in ['.', '?']:
+                            converted_value = descriptor.value_spec.default
+                        else:
+                            clean_val = value_str.split('(')[0] if '(' in value_str else value_str
+                            converted_value = float(clean_val)
+                    elif descriptor.value_spec.type_ == DataTypes.STRING:
+                        converted_value = value_str.strip("'\"")
+                    else:
+                        converted_value = value_str
+                        
+                    # Apply validation if available
+                    if validate_all and descriptor.value_spec.content_validator:
+                        try:
+                            converted_value = descriptor.value_spec.content_validator.validate(converted_value)
+                        except Exception:
+                            converted_value = descriptor.value_spec.default
+                    
+                    converted_values.append(converted_value)
+                except ValueError:
+                    converted_values.append(descriptor.value_spec.default)
+            
+            converted_data[attr_name] = converted_values
+            print(f"✓ CIF '{cif_name}' → '{attr_name}' ({descriptor.value_spec.type_}) | First: {converted_values[0]} ({type(converted_values[0])})")
+        else:
+            print(f"⚠️  No CIF handler for: '{cif_name}' - skipping")
+    
+    # Use existing add_from_arrays with converted data
+    self.add_from_arrays(**converted_data)
+    print(f"✅ Successfully imported {len(converted_data)} attributes for {len(list(converted_data.values())[0])} atoms")
+
+# Monkey patch the method for testing
+SmartAtomSites.add_from_cif_arrays = add_from_cif_arrays_method
+
+# Load LBCO CIF data
+cif_path = "data/lbco.cif"
+try:
+    doc = gemmi.cif.read(cif_path)
+    block = doc.sole_block()
+    
+    # Find atom site data
+    atom_loop = None
+    for item in block:
+        if hasattr(item, 'loop') and item.loop:
+            tags = item.loop.tags
+            if any('atom_site' in tag for tag in tags):
+                atom_loop = item.loop
+                break
+                
+    if atom_loop:
+        nrows = len(atom_loop.values) // len(atom_loop.tags)
+        print(f"Found {nrows} atom sites in CIF")
+        
+        # Extract data arrays using your optimal approach
+        atom_data = {}
+        for i, tag in enumerate(atom_loop.tags):
+            values = [atom_loop.values[j * len(atom_loop.tags) + i] for j in range(nrows)]
+            
+            # Clean up tag name
+            clean_tag = tag.replace('_atom_site.', '')
+            atom_data[clean_tag] = values
+            
+        print(f"Available CIF data: {list(atom_data.keys())}")
+        print(f"Raw data types (all strings): {[(k, type(v[0])) for k, v in atom_data.items()]}")
+        
+        # Test 1: Enhanced Smart collection with automatic type conversion
+        print(f"\n=== Enhanced CIF Integration Test ===")
+        t0_smart = time.perf_counter()
+        smart_atoms = SmartAtomSites()
+        smart_atoms.add_from_cif_arrays(atom_data, validate_all=True)
+        t1_smart = time.perf_counter()
+        smart_time = t1_smart - t0_smart
+        print(f"- Enhanced smart atoms creation: {smart_time:.6f}s")
+        print(f"  smart_atoms['La']: {smart_atoms['La']}")
+        
+        # Test that types are now correct
+        print(f"\n=== Type Verification ===")
+        la_atom = smart_atoms['La']
+        print(f"La fract_x: {la_atom.fract_x.value} (type: {type(la_atom.fract_x.value)})")
+        print(f"La type_symbol: {la_atom.type_symbol.value} (type: {type(la_atom.type_symbol.value)})")
+        print(f"La occupancy: {la_atom.occupancy.value} (type: {type(la_atom.occupancy.value)})")
+        
+        # Convert numeric data manually for comparison (old way)
+        print(f"\n=== Comparison with Manual Conversion ===")
+        manual_atom_data = atom_data.copy()
+        for key in ['fract_x', 'fract_y', 'fract_z', 'occupancy', 'B_iso_or_equiv']:
+            if key in manual_atom_data:
+                manual_atom_data[key] = [float(v) for v in manual_atom_data[key]]
+        
+        # Map CIF names to our internal names (old way)
+        if 'B_iso_or_equiv' in manual_atom_data:
+            manual_atom_data['b_iso'] = manual_atom_data.pop('B_iso_or_equiv')
+        if 'ADP_type' in manual_atom_data:
+            manual_atom_data['adp_type'] = manual_atom_data.pop('ADP_type')
+        if 'Wyckoff_letter' in manual_atom_data:
+            manual_atom_data['wyckoff_letter'] = manual_atom_data.pop('Wyckoff_letter')
+            
+        # Test 1: Smart collection bulk creation (old manual way)
+        t0_manual = time.perf_counter()
+        manual_atoms = SmartAtomSites()
+        manual_atoms.add_from_arrays(**manual_atom_data)
+        t1_manual = time.perf_counter()
+        manual_time = t1_manual - t0_manual
+        print(f"- Manual conversion atoms creation: {manual_time:.6f}s")
+        print(f"  manual_atoms['La']: {manual_atoms['La']}")
+        
+        # Test 2: Original collection for comparison
+        t0_original = time.perf_counter()
+        original_atoms = AtomSites()
+        for i, label in enumerate(manual_atom_data['label']):
+            atom = AtomSite(
+                label=label,
+                type_symbol=manual_atom_data['type_symbol'][i],
+                fract_x=manual_atom_data['fract_x'][i],
+                fract_y=manual_atom_data['fract_y'][i],
+                fract_z=manual_atom_data['fract_z'][i],
+                occupancy=manual_atom_data['occupancy'][i],
+                b_iso=manual_atom_data['b_iso'][i],
+                adp_type=manual_atom_data['adp_type'][i],
+                wyckoff_letter=manual_atom_data['wyckoff_letter'][i]
+            )
+            original_atoms.add(atom)
+        t1_original = time.perf_counter()
+        original_time = t1_original - t0_original
+        print(f"- original atoms creation: {original_time:.6f}s")
+        print(f"  original_atoms['La']: {original_atoms['La']}")
+        
+        # Performance comparison
+        speedup_vs_original = original_time / smart_time if smart_time > 0 else float('inf')
+        speedup_vs_manual = manual_time / smart_time if smart_time > 0 else float('inf')
+        print(f"\n=== Performance Summary ===")
+        print(f"Enhanced smart atoms: {smart_time*1000:.3f}ms")
+        print(f"Manual conversion: {manual_time*1000:.3f}ms") 
+        print(f"Original atoms: {original_time*1000:.3f}ms")
+        print(f"Speedup vs original: {speedup_vs_original:.1f}x")
+        print(f"Speedup vs manual: {speedup_vs_manual:.1f}x")
+        
+        # Test 3: API Compatibility with enhanced atoms
+        print(f"\n=== API Tests (Enhanced CIF Integration) ===")
+        print(f"Current API - smart_atoms['La'].fract_x.value = {smart_atoms['La'].fract_x.value}")
+        
+        # Test modification with current API
+        smart_atoms['La'].fract_x.value = 0.1234
+        print(f"After modification - smart_atoms['La'].fract_x.value = {smart_atoms['La'].fract_x.value}")
+        
+        # Test 4: New Array API
+        print(f"New API - smart_atoms.fract_x['La'] = {smart_atoms.fract_x['La']}")
+        
+        # Test modification with new API
+        smart_atoms.fract_x['La'] = 0.5678
+        print(f"After array modification - smart_atoms.fract_x['La'] = {smart_atoms.fract_x['La']}")
+        print(f"Verify with individual API - smart_atoms['La'].fract_x.value = {smart_atoms['La'].fract_x.value}")
+        
+        # Test validation with converted types
+        print(f"\n=== Validation Testing (Enhanced CIF) ===")
+        
+        # Test 1: Negative B-factor (should fail)
+        try:
+            smart_atoms['Ba'].b_iso = -10.0
+            print(f"❌ ERROR: Negative B-factor should have failed")
+        except Exception as e:
+            print(f"✅ Validation correctly caught negative B-factor: {type(e).__name__}")
+        
+        # Test 2: Valid assignment should work with proper types
+        try:
+            smart_atoms['Ba'].b_iso = 1.5  # Valid B-factor
+            print(f"✅ Valid B-factor assignment: {smart_atoms['Ba'].b_iso.value} (type: {type(smart_atoms['Ba'].b_iso.value)})")
+            
+            smart_atoms.occupancy['Ba'] = 0.8  # Valid occupancy
+            print(f"✅ Valid occupancy assignment: {smart_atoms.occupancy['Ba']} (type: {type(smart_atoms.occupancy['Ba'])})")
+        except Exception as e:
+            print(f"❌ Valid assignment failed: {e}")
+        
+    else:
+        print("No atom site loop found in CIF")
+        
+except Exception as e:
+    print(f"Error reading CIF: {e}")
+    # Create synthetic test data
+    print("\n=== Synthetic Atom Sites Test ===")
+    
+    # Create test data
+    test_labels = ['La', 'Ba', 'Co', 'O1', 'O2']
+    test_symbols = ['La', 'Ba', 'Co', 'O', 'O']
+    test_x = [0.0, 0.0, 0.5, 0.0, 0.5]
+    test_y = [0.0, 0.0, 0.5, 0.5, 0.0]
+    test_z = [0.0, 0.0, 0.5, 0.5, 0.5]
+    test_occ = [0.5, 0.5, 1.0, 1.0, 1.0]
+    test_biso = [0.5, 0.5, 0.5, 0.5, 0.5]
+    
+    t0 = time.perf_counter()
+    smart_atoms = SmartAtomSites()
+    smart_atoms.add_from_arrays(
+        label=test_labels,
+        type_symbol=test_symbols,
+        fract_x=test_x,
+        fract_y=test_y,
+        fract_z=test_z,
+        occupancy=test_occ,
+        b_iso=test_biso,
+        adp_type=['Biso'] * len(test_labels),
+        wyckoff_letter=['a', 'a', 'b', 'c', 'c']
+    )
+    t1 = time.perf_counter()
+    print(f"- synthetic smart atoms: {t1 - t0:.6f}s")
+    print(f"  smart_atoms['La']: {smart_atoms['La']}")
+    
+    # Test both APIs
+    print(f"Current API: smart_atoms['La'].fract_x.value = {smart_atoms['La'].fract_x.value}")
+    print(f"New API: smart_atoms.fract_x['La'] = {smart_atoms.fract_x['La']}")
+
+
+exit()
+
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = object.__new__(PdCwlDataPoint)
+    collection.append(item)
+t1 = time.perf_counter()
+print("- object.__new__ multiple PdCwlDataPoint:", t1 - t0, "s")
+print('  collection[1]:', collection[1])
+
+
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    #item._two_theta = arr[0, i]
+    #item._intensity_meas = arr[1, i]
+    #collection.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint collection:", t1 - t0, "s")
+
+exit()
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    item.two_theta.value = arr[0, i]
+    item.intensity_meas.value = arr[1, i]
+    item.intensity_bkg.value = arr[2, i]
+    collection.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection:", t1 - t0, "s")
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    item.two_theta._value = arr[0, i]
+    item.intensity_meas._value = arr[1, i]
+    collection.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint._value collection:", t1 - t0, "s")
+
+
+t0 = time.perf_counter()
+for i in range(nrow):
+    item = PdCwlDataPoint()
+t1 = time.perf_counter()
+print("init multiple PdCwlDataPoint:", t1 - t0, "s")
+
+
+t0 = time.perf_counter()
+for i in range(nrow):
+    item = object.__new__(PdCwlDataPoint)
+t1 = time.perf_counter()
+print("object.__new__ multiple PdCwlDataPoint:", t1 - t0, "s")
+
+from easydiffraction.core.parameters import NumericDescriptor, GenericDescriptorBase
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import DataTypes
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.io.cif.handler import CifHandler
+
+t0 = time.perf_counter()
+for i in range(nrow):
+    for _ in range(4):
+        p = NumericDescriptor(
+                name='p', description='...',
+                value_spec=AttributeSpec(
+                    type_=DataTypes.NUMERIC,
+                    default=0.0,
+                    content_validator=RangeValidator(ge=0),
+                ),
+                cif_handler=CifHandler(names=['_pd_proc.d_spacing']),
+            )
+t1 = time.perf_counter()
+print("init multiple NumericDescriptor:", t1 - t0, "s")
+
+
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    item.two_theta.value = arr[0, i]
+    item.intensity_meas.value = arr[1, i]
+    item.intensity_bkg.value = arr[2, i]
+    collection.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection:", t1 - t0, "s")
+
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    for param in item.parameters:
+        param.value = arr[0, i]
+    collection.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection 2:", t1 - t0, "s")
+
+
+t0 = time.perf_counter()
+collection = []
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    for param in item.parameters:
+        for name in param._cif_handler.names:
+            if name in data.keys():
+                param.value = data[name][i]
+                break
+    collection.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection 3:", t1 - t0, "s")
+print(collection[0])
+print(collection[1])
+print(collection[2])
+
+
+
+t0 = time.perf_counter()
+collection = PdCwlData()
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    for param in item.parameters:
+        for name in param._cif_handler.names:
+            if name in data.keys():
+                param.value = data[name][i]
+                break
+    collection.add(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection X:", t1 - t0, "s")
+print(collection)
+
+
+t0 = time.perf_counter()
+collection = PdCwlData()
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    for param in item.parameters:
+        for name in param._cif_handler.names:
+            if name in data.keys():
+                param.value = data[name][i]
+                break
+    collection._items.append(item)
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection Y:", t1 - t0, "s")
+print(collection)
+
+
+
+t0 = time.perf_counter()
+collection = PdCwlData()
+for i in range(nrow):
+    item = PdCwlDataPoint()
+    for param in item.parameters:
+        for name in param._cif_handler.names:
+            if name in data.keys():
+                param.value = data[name][i]
+                break
+    collection._items.append(item)
+
+
+t1 = time.perf_counter()
+print("make PdCwlDataPoint.value collection Y:", t1 - t0, "s")
+print(collection)
+
+
+exit()
+
+t0 = time.perf_counter()
+for i in range(nrow):
+    for _ in range(4):
+        p = GenericDescriptorBase(
+                name='p', description='...',
+                value_spec=AttributeSpec(
+                    type_=DataTypes.NUMERIC,
+                    default=0.0,
+                    content_validator=RangeValidator(ge=0),
+                ),
+            )
+t1 = time.perf_counter()
+print("init multiple GenericDescriptorBase:", t1 - t0, "s")
+
+
+exit()
+
+
+t0 = time.perf_counter()
+sc_arr = sc.array(dims=loop.tags, values=np_arr)
+t1 = time.perf_counter()
+print("sc.array:", t1 - t0, "s")
+
+print('sc_arr:', sc_arr)
+
+
+
+
+
+print(arr[:, 0])
+
+pass
\ No newline at end of file
diff --git a/tmp/_read_cif.py b/tmp/_read_cif.py
new file mode 100644
index 00000000..1c273019
--- /dev/null
+++ b/tmp/_read_cif.py
@@ -0,0 +1,184 @@
+# %% [markdown]
+# # Structure Refinement: LBCO, HRPT
+#
+# This minimalistic example is designed to be as compact as possible for
+# a Rietveld refinement of a crystal structure using constant-wavelength
+# neutron powder diffraction data for La0.5Ba0.5CoO3 from HRPT at PSI.
+#
+# It does not contain any advanced features or options, and includes no
+# comments or explanations—these can be found in the other tutorials.
+# Default values are used for all parameters if not specified. Only
+# essential and self-explanatory code is provided.
+#
+# The example is intended for users who are already familiar with the
+# EasyDiffraction library and want to quickly get started with a simple
+# refinement. It is also useful for those who want to see what a
+# refinement might look like in code. For a more detailed explanation of
+# the code, please refer to the other tutorials.
+
+# %% [markdown]
+# ## Import Library
+
+# %%
+import easydiffraction as ed
+
+# %%
+from easydiffraction.utils.logging import Logger
+Logger.configure(
+    level=Logger.Level.INFO,
+    mode=Logger.Mode.VERBOSE,
+    reaction=Logger.Reaction.WARN,
+)
+
+# %% [markdown]
+# ## Step 1: Define Project
+
+# %%
+project = ed.Project()
+
+# %% [markdown]
+# ## Step 2: Define Sample Model
+
+# %%
+#project.sample_models.add_from_cif_path("tmp/data/lbco.cif")
+project.sample_models.add(cif_path="tmp/data/lbco.cif")
+
+# %%
+project.sample_models.show_names()
+
+# %%
+# Create an alias for easier access
+lbco = project.sample_models['lbco']
+
+# %%
+#print('a')
+#print('lbco.cell.length_b.value', lbco.cell.length_b.value)
+#print('b')
+lbco.cell.length_a = 3.89
+#print('c')
+#print('lbco.cell.length_b.value', lbco.cell.length_b.value)
+#print('d')
+#print('lbco.cell.length_b.value', lbco.cell.length_b.value)
+#print('e')
+
+# %%
+lbco.show_as_cif()
+#exit()
+
+# %% [markdown]
+# ## Step 3: Define Experiment
+
+# %%
+#project.experiments.add_from_cif_path("tmp/data/hrpt.cif")
+project.experiments.add(cif_path="tmp/data/hrpt.cif")
+
+# %%
+project.experiments.show_names()
+
+# %%
+# Create an alias for easier access
+hrpt = project.experiments['hrpt']
+
+# %%
+hrpt.background['1'].y = 300
+
+# %%
+hrpt.show_as_cif()
+#exit()
+
+print('==')
+print('a', hrpt.background['1'].y.value)
+
+#exit()
+
+# %%
+print('hrpt.data.x', hrpt.data.x)
+print('hrpt.data.meas', hrpt.data.meas)
+print('hrpt.data.calc', hrpt.data.calc)
+
+###project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+print('hrpt.data.calc', hrpt.data.calc)
+
+###hrpt.show_as_cif()
+
+print('hrpt.data.meas[3]', hrpt.data.meas[3])
+print('hrpt.data["3"].intensity_meas', hrpt.data["3"].intensity_meas)
+print('hrpt.data["3"].intensity_meas', hrpt.data["3"].intensity_meas.value)
+
+print("hrpt.background['1'].y", hrpt.background['1'].y)
+print("hrpt.background['1'].y.value", hrpt.background['1'].y.value)
+print("hrpt.background['1'].y.free", hrpt.background['1'].y.free)
+
+
+#exit()
+# %%
+
+# %% [markdown]
+# ## Step 4: Perform Analysis
+
+
+# %%
+project.analysis.aliases.add(
+    label='biso_La',
+    param_uid=lbco.atom_sites['La'].b_iso.uid,
+)
+project.analysis.aliases.add(
+    label='biso_Ba',
+    param_uid=lbco.atom_sites['Ba'].b_iso.uid,
+)
+
+# %%
+project.analysis.constraints.add(
+    lhs_alias='biso_Ba',
+    rhs_expr='biso_La',
+)
+
+# %%
+#project.analysis.apply_constraints()
+
+# %%
+# Select sample model parameters to refine
+lbco.cell.length_a.free = True
+
+lbco.atom_sites['La'].b_iso.free = True
+lbco.atom_sites['Ba'].b_iso.free = True
+lbco.atom_sites['Co'].b_iso.free = True
+lbco.atom_sites['O'].b_iso.free = True
+#for atom_site in lbco.atom_sites:
+#    atom_site.b_iso.free = True
+
+# %%
+# Select experiment parameters to refine
+hrpt.linked_phases['lbco'].scale.free = True
+
+hrpt.instrument.calib_twotheta_offset.free = True
+
+hrpt.peak.broad_gauss_u.free = True
+hrpt.peak.broad_gauss_v.free = True
+hrpt.peak.broad_gauss_w.free = True
+hrpt.peak.broad_lorentz_y.free = True
+
+#hrpt.background['1'].y.free = True
+##hrpt.background['2'].y.free = True
+#hrpt.background['3'].y.free = True
+#hrpt.background['4'].y.free = True
+#hrpt.background['5'].y.free = True
+for line_segment in hrpt.background:
+    line_segment.y.free = True
+
+# %%
+project.analysis.show_free_params()
+
+# %%
+project.analysis.fit()
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+#hrpt.show_as_cif()
+
+#print(lbco.cell)
+
+#hrpt.show_as_cif()
diff --git a/tmp/_smart.py b/tmp/_smart.py
new file mode 100644
index 00000000..3a18ca3b
--- /dev/null
+++ b/tmp/_smart.py
@@ -0,0 +1,162 @@
+# %%
+import sys
+sys.path.insert(0, '/Users/andrewsazonov/Development/github.com/easyscience/diffraction-lib/src')
+
+import gemmi
+import numpy as np
+import time
+import easydiffraction as ed
+from easydiffraction.sample_models.categories.smart_atom_sites_v3 import SmartAtomSites
+from easydiffraction.sample_models.categories.atom_sites import AtomSite, AtomSites
+from easydiffraction.core.validation import DataTypes
+
+# %%
+from easydiffraction.utils.logging import Logger
+Logger.configure(
+    level=Logger.Level.INFO,
+    mode=Logger.Mode.VERBOSE,
+    reaction=Logger.Reaction.WARN,
+)
+
+# %%
+project = ed.Project()
+
+# %%
+print("\n=== Extract data with gemmi ===")
+t0 = time.perf_counter()
+doc = gemmi.cif.read_file("tmp/data/large_structure.cif")
+block = doc.sole_block()
+values = block.find_values('_atom_site.fract_x')
+loop = values.get_loop()
+array = np.array(loop.values, dtype=object).reshape(loop.length(), loop.width()).T
+data = {tag.split('.')[1]: array[i] for i, tag in enumerate(loop.tags)}
+t1 = time.perf_counter()
+print(f"Extracting time: {t1-t0:.4f}s")
+print("\nRaw CIF data (all strings):")
+for header, column in data.items():
+    print(f"  {header}: {column}")
+
+# %%
+print("\n=== Enhanced CIF Integration (V3) ===")
+t0 = time.perf_counter()
+atoms_enhanced = SmartAtomSites()
+atoms_enhanced.add_from_cif_arrays(data, validate_all=True)
+t1 = time.perf_counter()
+print(f"Enhanced approach time: {t1-t0:.4f}s")
+
+# %%
+print("\n=== Old CIF Integration ===")
+t0 = time.perf_counter()
+project.sample_models.add_from_cif_path("tmp/data/large_structure.cif")
+t1 = time.perf_counter()
+print(f"Old approach time: {t1-t0:.4f}s")
+print(project.sample_models['lbco'].atom_sites['La'].b_iso)
+print(project.sample_models['lbco'].atom_sites['Ba'].b_iso)
+#print(project.sample_models['lbco'].as_cif)
+
+print("\n=== Test _add_bulk_empty ===")
+t0 = time.perf_counter()
+atoms = AtomSites()
+atoms._add_bulk_empty(loop.length())
+t1 = time.perf_counter()
+print(f"_add_bulk_empty {loop.length()} items: {t1-t0:.4f}s")
+print(atoms)
+#print(atoms.as_cif)
+print(atoms['Si'].occupancy)
+atoms._items[1].occupancy = 0.555
+atoms._items[3].occupancy = 0.777
+atoms['Si'].occupancy = 0.333
+#print(atoms.as_cif)
+
+
+# %%
+print("\n=== Old init multiple AtomSite() ===")
+t0 = time.perf_counter()
+collection = []
+for i in range(loop.length()):
+    item = AtomSite()
+    collection.append(item)
+t1 = time.perf_counter()
+print(f"Init {loop.length()} multiple AtomSite(): {t1-t0:.4f}s")
+print('collection[1]:', collection[1])
+print('collection[2]:', collection[2])
+print('collection[3]:', collection[3])
+
+
+
+exit()
+
+
+# %%
+print("\nData type verification:")
+print(f"Enhanced Ba.fract_x: {atoms_enhanced['Ba'].fract_x.value} ({type(atoms_enhanced['Ba'].fract_x.value)})")
+print(f"Enhanced Ba.label: {atoms_enhanced['Ba'].label.value} ({type(atoms_enhanced['Ba'].label.value)})")
+print(f"Enhanced Ba.b_iso: {atoms_enhanced['Ba'].b_iso.value} ({type(atoms_enhanced['Ba'].b_iso.value)})")
+
+# Use enhanced atoms for remaining tests
+atoms = atoms_enhanced
+
+# %%
+print("=== Testing Enhanced Smart Feedback & Validation ===")
+print("atoms['Ba']", atoms['Ba'])
+print("atoms.b_iso", atoms.b_iso)
+
+print("atoms['Ba'].b_iso", atoms['Ba'].b_iso)
+print("atoms.b_iso['Ba']", atoms.b_iso['Ba'])
+
+print("\n=== Testing Valid Assignments ===")
+atoms['Ba'].b_iso = 0.777
+print("atoms.b_iso['Ba'] after valid assignment:", atoms.b_iso['Ba'])
+
+print("\n=== Testing Invalid Assignment (should fail with validation) ===")
+atoms['Ba'].b_iso = -0.333
+print("atoms.b_iso['Ba'] after invalid assignment:", atoms.b_iso['Ba'])
+
+atoms.b_iso['Ba'] = 0.444
+print("atoms.b_iso['Ba'] after array assignment:", atoms.b_iso['Ba'])
+
+print("\n=== Testing Invalid Array Assignment ===")
+atoms.b_iso['Ba'] = -0.666
+
+print("\n=== Testing Smart Feedback (Typo Detection) ===")
+# Test typo in atom label
+#value = atoms['Baa'].fract_x.value  # typo: 'Baa' instead of 'Ba'
+
+# Test typo in attribute name
+#value = atoms['Ba'].frac_x.value  # typo: 'frac_x' instead of 'fract_x'
+
+# Test typo in array access
+#value = atoms.frac_x['Ba']  # typo: 'frac_x' instead of 'fract_x'
+
+print("\n=== Enhanced CIF Integration V3 Complete ✅ ===")
+print(f"✅ CIF handlers properly configured")
+print(f"✅ Automatic type conversion working")
+print(f"✅ Smart feedback and typo detection working")
+print(f"✅ Validation integrated with type conversion")
+print(f"✅ Both individual and array APIs working")
+
+
+
+atoms_enhanced2 = SmartAtomSites()
+atoms_enhanced2.add_from_cif_arrays(data, validate_all=True)
+
+atoms_enhanced['Ba'].b_iso = 0.333
+atoms_enhanced2['Ba'].b_iso = 0.444
+
+print('\nAAAA')
+
+print("atoms_enhanced['Ba'].b_iso.value", atoms_enhanced['Ba'].b_iso.value)
+print("atoms_enhanced2['Ba'].b_iso.value", atoms_enhanced2['Ba'].b_iso.value)
+print("atoms_enhanced['Ba'].b_iso.free", atoms_enhanced['Ba'].b_iso.free)
+print("atoms_enhanced2['Ba'].b_iso.free", atoms_enhanced2['Ba'].b_iso.free)
+
+atoms_enhanced['Ba'].b_iso.value = 0.666
+atoms_enhanced2['Ba'].b_iso.value = 0.888
+atoms_enhanced['Ba'].b_iso.free = True
+
+print('\nBBBB')
+
+print("atoms_enhanced['Ba'].b_iso", atoms_enhanced['Ba'].b_iso.value)
+print("atoms_enhanced2['Ba'].b_iso", atoms_enhanced2['Ba'].b_iso.value)
+print("atoms_enhanced['Ba'].b_iso.free", atoms_enhanced['Ba'].b_iso.free)
+print("atoms_enhanced2['Ba'].b_iso.free", atoms_enhanced2['Ba'].b_iso.free)
diff --git a/tmp/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py b/tmp/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py
new file mode 100644
index 00000000..cf21bcc8
--- /dev/null
+++ b/tmp/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py
@@ -0,0 +1,750 @@
+# %% [markdown]
+# # Structure Refinement: LBCO, HRPT
+#
+# This example demonstrates how to use the EasyDiffraction API in a
+# simplified, user-friendly manner that closely follows the GUI workflow
+# for a Rietveld refinement of La0.5Ba0.5CoO3 crystal structure using
+# constant wavelength neutron powder diffraction data from HRPT at PSI.
+#
+# It is intended for users with minimal programming experience who want
+# to learn how to perform standard crystal structure fitting using
+# diffraction data. This script covers creating a project, adding sample
+# models and experiments, performing analysis, and refining parameters.
+#
+# Only a single import of `easydiffraction` is required, and all
+# operations are performed through high-level components of the
+# `project` object, such as `project.sample_models`,
+# `project.experiments`, and `project.analysis`. The `project` object is
+# the main container for all information.
+
+# %% [markdown]
+# ## Import Library
+
+# %%
+# %%
+import os
+
+import easydiffraction as ed
+from easydiffraction.utils.logging import console
+from easydiffraction.utils.logging import log
+
+# %%
+print(os.getenv('TERM_PROGRAM'))
+
+# %%
+# !echo $TERM_PROGRAM
+
+# %%
+
+# Logger.configure(
+#    level=Logger.Level.DEBUG,
+#    mode=Logger.Mode.VERBOSE,
+#    reaction=Logger.Reaction.WARN,
+# )
+
+
+console.print('Initializing logger 1a', '111', 'Initializing logger 1b')
+log.debug('Initializing logger 2a', '222', 'Initializing logger 2b')
+log.info('Initializing logger INFO')
+log.warning('Initializing logger WARNING')
+log.debug('a')
+# log.error("Initializing logger ERROR")
+log.debug('b')
+# log.critical("Initializing logger CRITICAL")
+console.chapter('Chapter: Initializing logger 7')
+console.section('Section: Initializing logger 8')
+console.paragraph('Paragraph: Initializing logger 9')
+console.print('aaa')
+# exit()
+
+
+# %% [markdown]
+# ## Step 1: Create a Project
+#
+# This section explains how to create a project and define its metadata.
+
+# %% [markdown]
+# #### Create Project
+
+# %%
+project = ed.Project(name='lbco_hrpt')
+
+# %% [markdown]
+# #### Set Project Metadata
+
+# %%
+project.info.title = 'La0.5Ba0.5CoO3 at HRPT@PSI'
+project.info.description = """This project demonstrates a standard
+refinement of La0.5Ba0.5CoO3, which crystallizes in a perovskite-type
+structure, using neutron powder diffraction data collected in constant
+wavelength mode at the HRPT diffractometer (PSI)."""
+
+# %% [markdown]
+# #### Show Project Metadata as CIF
+
+# %%
+project.info.show_as_cif()
+
+# %% [markdown]
+# #### Save Project
+#
+# When saving the project for the first time, you need to specify the
+# directory path. In the example below, the project is saved to a
+# temporary location defined by the system.
+
+# %%
+project.save_as(dir_path='lbco_hrpt', temporary=True)
+
+# %% [markdown]
+# #### Set Up Data Plotter
+
+# %% [markdown]
+# Show supported plotting engines.
+
+# %%
+project.plotter.show_supported_engines()
+
+# %% [markdown]
+# Show current plotting configuration.
+
+# %%
+project.plotter.show_config()
+
+# %% [markdown]
+# Set plotting engine.
+
+# %%
+# project.plotter.engine = 'plotly'
+
+# %%
+project.tabler.show_config()
+project.tabler.show_supported_engines()
+#project.tabler.engine = 'rich'
+
+# %% [markdown]
+# ## Step 2: Define Sample Model
+#
+# This section shows how to add sample models and modify their
+# parameters.
+
+# %% [markdown]
+# #### Add Sample Model
+
+# %%
+project.sample_models.add_minimal(name='lbco')
+
+# %% [markdown]
+# #### Show Defined Sample Models
+#
+# Show the names of the models added. These names are used to access the
+# model using the syntax: `project.sample_models['model_name']`. All
+# model parameters can be accessed via the `project` object.
+
+# %%
+project.sample_models.show_names()
+
+# %% [markdown]
+# #### Set Space Group
+#
+# Modify the default space group parameters.
+
+# %%
+project.sample_models['lbco'].space_group.name_h_m = 'P m -3 m'
+project.sample_models['lbco'].space_group.it_coordinate_system_code = '1'
+
+# %% [markdown]
+# #### Set Unit Cell
+#
+# Modify the default unit cell parameters.
+
+# %%
+project.sample_models['lbco'].cell.length_a = 3.88
+
+# %% [markdown]
+# #### Set Atom Sites
+#
+# Add atom sites to the sample model.
+
+# %%
+project.sample_models['lbco'].atom_sites.add_from_args(
+    label='La',
+    type_symbol='La',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.5,
+    occupancy=0.5,
+)
+project.sample_models['lbco'].atom_sites.add_from_args(
+    label='Ba',
+    type_symbol='Ba',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.5,
+    occupancy=0.5,
+)
+project.sample_models['lbco'].atom_sites.add_from_args(
+    label='Co',
+    type_symbol='Co',
+    fract_x=0.5,
+    fract_y=0.5,
+    fract_z=0.5,
+    wyckoff_letter='b',
+    b_iso=0.5,
+)
+project.sample_models['lbco'].atom_sites.add_from_args(
+    label='O',
+    type_symbol='O',
+    fract_x=0,
+    fract_y=0.5,
+    fract_z=0.5,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+
+# %% [markdown]
+# #### Apply Symmetry Constraints
+
+# %%
+project.sample_models['lbco'].apply_symmetry_constraints()
+
+# %% [markdown]
+# #### Show Sample Model as CIF
+
+# %%
+project.sample_models['lbco'].show_as_cif()
+
+# %% [markdown]
+# #### Show Sample Model Structure
+
+# %%
+project.sample_models['lbco'].show_structure()
+
+# %% [markdown]
+# #### Save Project State
+#
+# Save the project state after adding the sample model. This ensures
+# that all changes are stored and can be accessed later. The project
+# state is saved in the directory specified during project creation.
+
+# %%
+project.save()
+
+# %% [markdown]
+# ## Step 3: Define Experiment
+#
+# This section shows how to add experiments, configure their parameters,
+# and link the sample models defined in the previous step.
+
+# %% [markdown]
+# #### Download Measured Data
+#
+# Download the data file from the EasyDiffraction repository on GitHub.
+
+# %%
+ed.download_from_repository('hrpt_lbco.xye', destination='data')
+
+# %% [markdown]
+# #### Add Diffraction Experiment
+
+# %%
+project.experiments.add_from_data_path(
+    name='hrpt',
+    data_path='data/hrpt_lbco.xye',
+    sample_form='powder',
+    beam_mode='constant wavelength',
+    radiation_probe='neutron',
+)
+
+# %% [markdown]
+# #### Show Defined Experiments
+
+# %%
+project.experiments.show_names()
+
+# %% [markdown]
+# #### Show Measured Data
+
+# %%
+project.plot_meas(expt_name='hrpt')
+
+# %% [markdown]
+# #### Set Instrument
+#
+# Modify the default instrument parameters.
+
+# %%
+project.experiments['hrpt'].instrument.setup_wavelength = 1.494
+project.experiments['hrpt'].instrument.calib_twotheta_offset = 0.6
+
+# %% [markdown]
+# #### Set Peak Profile
+#
+# Show supported peak profile types.
+
+# %%
+project.experiments['hrpt'].show_supported_peak_profile_types()
+
+# %% [markdown]
+# Show the current peak profile type.
+
+# %%
+project.experiments['hrpt'].show_current_peak_profile_type()
+
+# %% [markdown]
+# Select the desired peak profile type.
+
+# %%
+project.experiments['hrpt'].peak_profile_type = 'pseudo-voigt'
+
+# %% [markdown]
+# Modify default peak profile parameters.
+
+# %%
+project.experiments['hrpt'].peak.broad_gauss_u = 0.1
+project.experiments['hrpt'].peak.broad_gauss_v = -0.1
+project.experiments['hrpt'].peak.broad_gauss_w = 0.1
+project.experiments['hrpt'].peak.broad_lorentz_x = 0
+project.experiments['hrpt'].peak.broad_lorentz_y = 0.1
+
+# %% [markdown]
+# #### Set Background
+
+# %% [markdown]
+# Show supported background types.
+
+# %%
+project.experiments['hrpt'].show_supported_background_types()
+
+# %% [markdown]
+# Show current background type.
+
+# %%
+project.experiments['hrpt'].show_current_background_type()
+
+# %% [markdown]
+# Select the desired background type.
+
+# %%
+project.experiments['hrpt'].background_type = 'line-segment'
+
+# %% [markdown]
+# Add background points.
+
+# %%
+project.experiments['hrpt'].background.add_from_args(x=10, y=170)
+project.experiments['hrpt'].background.add_from_args(x=30, y=170)
+project.experiments['hrpt'].background.add_from_args(x=50, y=170)
+project.experiments['hrpt'].background.add_from_args(x=110, y=170)
+project.experiments['hrpt'].background.add_from_args(x=165, y=170)
+
+# %% [markdown]
+# Show current background points.
+
+# %%
+project.experiments['hrpt'].background.show()
+
+# %% [markdown]
+# #### Set Linked Phases
+#
+# Link the sample model defined in the previous step to the experiment.
+
+# %%
+project.experiments['hrpt'].linked_phases.add_from_args(id='lbco', scale=10.0)
+
+# %% [markdown]
+# #### Show Experiment as CIF
+
+# %%
+project.experiments['hrpt'].show_as_cif()
+
+# %% [markdown]
+# #### Save Project State
+
+# %%
+project.save()
+
+# %% [markdown]
+# ## Step 4: Perform Analysis
+#
+# This section explains the analysis process, including how to set up
+# calculation and fitting engines.
+#
+# #### Set Calculator
+#
+# Show supported calculation engines.
+
+# %%
+project.analysis.show_supported_calculators()
+
+# %% [markdown]
+# Show current calculation engine.
+
+# %%
+project.analysis.show_current_calculator()
+
+# %% [markdown]
+# Select the desired calculation engine.
+
+# %%
+project.analysis.current_calculator = 'cryspy'
+
+# %% [markdown]
+# #### Show Calculated Data
+
+# %%
+project.plot_calc(expt_name='hrpt')
+
+# %% [markdown]
+# #### Plot Measured vs Calculated
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41, show_residual=True)
+
+# %% [markdown]
+# #### Show Parameters
+#
+# Show all parameters of the project.
+
+# %%
+project.analysis.show_all_params()
+
+# %% [markdown]
+# Show all fittable parameters.
+
+# %%
+project.analysis.show_fittable_params()
+
+# %% [markdown]
+# Show only free parameters.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# Show how to access parameters in the code.
+
+# %%
+project.analysis.how_to_access_parameters()
+
+# %% [markdown]
+# #### Set Fit Mode
+#
+# Show supported fit modes.
+
+# %%
+project.analysis.show_available_fit_modes()
+
+# %% [markdown]
+# Show current fit mode.
+
+# %%
+project.analysis.show_current_fit_mode()
+
+# %% [markdown]
+# Select desired fit mode.
+
+# %%
+project.analysis.fit_mode = 'single'
+
+# %% [markdown]
+# #### Set Minimizer
+#
+# Show supported fitting engines.
+
+# %%
+project.analysis.show_available_minimizers()
+
+# %% [markdown]
+# Show current fitting engine.
+
+# %%
+project.analysis.show_current_minimizer()
+
+# %% [markdown]
+# Select desired fitting engine.
+
+# %%
+project.analysis.current_minimizer = 'lmfit (leastsq)'
+
+# %% [markdown]
+# ### Perform Fit 1/5
+#
+# Set sample model parameters to be refined.
+
+# %%
+project.sample_models['lbco'].cell.length_a.free = True
+
+# %% [markdown]
+# Set experiment parameters to be refined.
+
+# %%
+project.experiments['hrpt'].linked_phases['lbco'].scale.free = True
+project.experiments['hrpt'].instrument.calib_twotheta_offset.free = True
+project.experiments['hrpt'].background['10'].y.free = True
+project.experiments['hrpt'].background['30'].y.free = True
+project.experiments['hrpt'].background['50'].y.free = True
+project.experiments['hrpt'].background['110'].y.free = True
+project.experiments['hrpt'].background['165'].y.free = True
+
+# %% [markdown]
+# Show free parameters after selection.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# #### Run Fitting
+
+# %%
+project.tabler.engine = 'rich'
+project.sample_models['lbco'].cell.length_a = 3.88
+project.analysis.fit()
+
+# %% [markdown]
+# #### Plot Measured vs Calculated
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41, show_residual=True)
+
+# %% [markdown]
+# #### Save Project State
+
+# %%
+project.save_as(dir_path='lbco_hrpt', temporary=True)
+
+# %% [markdown]
+# ### Perform Fit 2/5
+#
+# Set more parameters to be refined.
+
+# %%
+project.experiments['hrpt'].peak.broad_gauss_u.free = True
+project.experiments['hrpt'].peak.broad_gauss_v.free = True
+project.experiments['hrpt'].peak.broad_gauss_w.free = True
+project.experiments['hrpt'].peak.broad_lorentz_y.free = True
+
+# %% [markdown]
+# Show free parameters after selection.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# #### Run Fitting
+
+# %%
+project.analysis.fit()
+
+# %% [markdown]
+# #### Plot Measured vs Calculated
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41, show_residual=True)
+
+# %% [markdown]
+# #### Save Project State
+
+# %%
+project.save_as(dir_path='lbco_hrpt', temporary=True)
+
+# %% [markdown]
+# ### Perform Fit 3/5
+#
+# Set more parameters to be refined.
+
+# %%
+project.sample_models['lbco'].atom_sites['La'].b_iso.free = True
+project.sample_models['lbco'].atom_sites['Ba'].b_iso.free = True
+project.sample_models['lbco'].atom_sites['Co'].b_iso.free = True
+project.sample_models['lbco'].atom_sites['O'].b_iso.free = True
+
+# %% [markdown]
+# Show free parameters after selection.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# #### Run Fitting
+
+# %%
+project.analysis.fit()
+
+# %% [markdown]
+# #### Plot Measured vs Calculated
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41, show_residual=True)
+
+# %% [markdown]
+# #### Save Project State
+
+# %%
+project.save_as(dir_path='lbco_hrpt', temporary=True)
+
+# %% [markdown]
+# ### Perform Fit 4/5
+#
+# #### Set Constraints
+#
+# Set aliases for parameters.
+
+# %%
+project.analysis.aliases.add_from_args(
+    label='biso_La',
+    param_uid=project.sample_models['lbco'].atom_sites['La'].b_iso.uid,
+)
+project.analysis.aliases.add_from_args(
+    label='biso_Ba',
+    param_uid=project.sample_models['lbco'].atom_sites['Ba'].b_iso.uid,
+)
+
+# %% [markdown]
+# Set constraints.
+
+# %%
+project.analysis.constraints.add_from_args(lhs_alias='biso_Ba', rhs_expr='biso_La')
+
+# %% [markdown]
+# Show defined constraints.
+
+# %%
+project.analysis.show_constraints()
+
+# %% [markdown]
+# Show free parameters before applying constraints.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# Apply constraints.
+
+# %%
+project.analysis.apply_constraints()
+
+# %% [markdown]
+# Show free parameters after applying constraints.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# #### Run Fitting
+
+# %%
+project.analysis.fit()
+
+# %% [markdown]
+# #### Plot Measured vs Calculated
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41, show_residual=True)
+
+# %% [markdown]
+# #### Save Project State
+
+# %%
+project.save_as(dir_path='lbco_hrpt', temporary=True)
+
+# %% [markdown]
+# ### Perform Fit 5/5
+#
+# #### Set Constraints
+#
+# Set more aliases for parameters.
+
+# %%
+project.analysis.aliases.add_from_args(
+    label='occ_La',
+    param_uid=project.sample_models['lbco'].atom_sites['La'].occupancy.uid,
+)
+project.analysis.aliases.add_from_args(
+    label='occ_Ba',
+    param_uid=project.sample_models['lbco'].atom_sites['Ba'].occupancy.uid,
+)
+
+# %% [markdown]
+# Set more constraints.
+
+# %%
+project.analysis.constraints.add_from_args(
+    lhs_alias='occ_Ba',
+    rhs_expr='1 - occ_La',
+)
+
+# %% [markdown]
+# Show defined constraints.
+
+# %%
+project.analysis.show_constraints()
+
+# %% [markdown]
+# Apply constraints.
+
+# %%
+project.analysis.apply_constraints()
+
+# %% [markdown]
+# Set sample model parameters to be refined.
+
+# %%
+project.sample_models['lbco'].atom_sites['La'].occupancy.free = True
+
+# %% [markdown]
+# Show free parameters after selection.
+
+# %%
+project.analysis.show_free_params()
+
+# %% [markdown]
+# #### Run Fitting
+
+# %%
+project.analysis.fit()
+
+# %% [markdown]
+# #### Plot Measured vs Calculated
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41, show_residual=True)
+
+# %% [markdown]
+# #### Save Project State
+
+# %%
+project.save_as(dir_path='lbco_hrpt', temporary=True)
+
+# %% [markdown]
+# ## Step 5: Summary
+#
+# This final section shows how to review the results of the analysis.
+
+# %% [markdown]
+# #### Show Project Summary
+
+
+# %%
+project.summary.show_report()
diff --git a/tutorials-drafts/cryst-struct_pd-neut-tof_multiphase-BSFTO-HRPT.py b/tmp/cryst-struct_pd-neut-tof_multiphase-BSFTO-HRPT.py
similarity index 71%
rename from tutorials-drafts/cryst-struct_pd-neut-tof_multiphase-BSFTO-HRPT.py
rename to tmp/cryst-struct_pd-neut-tof_multiphase-BSFTO-HRPT.py
index 3a5c8174..b4ee7e15 100644
--- a/tutorials-drafts/cryst-struct_pd-neut-tof_multiphase-BSFTO-HRPT.py
+++ b/tmp/cryst-struct_pd-neut-tof_multiphase-BSFTO-HRPT.py
@@ -41,17 +41,17 @@
 # #### Set Atom Sites
 
 # %%
-model_1.atom_sites.add('Bi1', 'Bi', 0.702, 0.114, 0,     wyckoff_letter='g', b_iso=0.0, occupancy=0.88)
-model_1.atom_sites.add('Sm1', 'Sm', 0.702, 0.114, 0,     wyckoff_letter='g', b_iso=0.0, occupancy=0.12)
-model_1.atom_sites.add('Bi2', 'Bi', 0.751, 0.132, 0.5,   wyckoff_letter='h', b_iso=0.0, occupancy=0.88)
-model_1.atom_sites.add('Sm2', 'Sm', 0.751, 0.132, 0.5,   wyckoff_letter='h', b_iso=0.0, occupancy=0.12)
-model_1.atom_sites.add('Fe',  'Fe', 0.236, 0.121, 0.259, wyckoff_letter='i', b_iso=0.0, occupancy=0.94)
-model_1.atom_sites.add('Ti',  'Ti', 0.236, 0.121, 0.259, wyckoff_letter='i', b_iso=0.0, occupancy=0.06)
-model_1.atom_sites.add('O1',  'O',  0.258, 0.151, 0,     wyckoff_letter='g', b_iso=0.0, occupancy=1.0)
-model_1.atom_sites.add('O2',  'O',  0.316, 0.093, 0.5,   wyckoff_letter='h', b_iso=0.0, occupancy=1.0)
-model_1.atom_sites.add('O3',  'O',  0.002, 0.258, 0.299, wyckoff_letter='i', b_iso=0.0, occupancy=1.0)
-model_1.atom_sites.add('O4',  'O',  0,     0.5,   0.264, wyckoff_letter='f', b_iso=0.0, occupancy=1.0)
-model_1.atom_sites.add('O5',  'O',  0,     0,     0.198, wyckoff_letter='e', b_iso=0.0, occupancy=1.0)
+model_1.atom_sites.add('Bi1', 'Bi', 0.702, 0.114, 0, wyckoff_letter='g', b_iso=0.0, occupancy=0.88)
+model_1.atom_sites.add('Sm1', 'Sm', 0.702, 0.114, 0, wyckoff_letter='g', b_iso=0.0, occupancy=0.12)
+model_1.atom_sites.add('Bi2', 'Bi', 0.751, 0.132, 0.5, wyckoff_letter='h', b_iso=0.0, occupancy=0.88)
+model_1.atom_sites.add('Sm2', 'Sm', 0.751, 0.132, 0.5, wyckoff_letter='h', b_iso=0.0, occupancy=0.12)
+model_1.atom_sites.add('Fe', 'Fe', 0.236, 0.121, 0.259, wyckoff_letter='i', b_iso=0.0, occupancy=0.94)
+model_1.atom_sites.add('Ti', 'Ti', 0.236, 0.121, 0.259, wyckoff_letter='i', b_iso=0.0, occupancy=0.06)
+model_1.atom_sites.add('O1', 'O', 0.258, 0.151, 0, wyckoff_letter='g', b_iso=0.0, occupancy=1.0)
+model_1.atom_sites.add('O2', 'O', 0.316, 0.093, 0.5, wyckoff_letter='h', b_iso=0.0, occupancy=1.0)
+model_1.atom_sites.add('O3', 'O', 0.002, 0.258, 0.299, wyckoff_letter='i', b_iso=0.0, occupancy=1.0)
+model_1.atom_sites.add('O4', 'O', 0, 0.5, 0.264, wyckoff_letter='f', b_iso=0.0, occupancy=1.0)
+model_1.atom_sites.add('O5', 'O', 0, 0, 0.198, wyckoff_letter='e', b_iso=0.0, occupancy=1.0)
 
 # %% [markdown]
 # ### Create Sample Model 2: Rhombohedral phase
@@ -77,11 +77,11 @@
 # #### Set Atom Sites
 
 # %%
-model_2.atom_sites.add('Bi',  'Bi', 0,     0,     0,     wyckoff_letter='a', b_iso=0.0, occupancy=0.88)
-model_2.atom_sites.add('Sm',  'Sm', 0,     0,     0,     wyckoff_letter='a', b_iso=0.0, occupancy=0.12)
-model_2.atom_sites.add('Fe',  'Fe', 0,     0,     0.223, wyckoff_letter='a', b_iso=0.0, occupancy=0.94)
-model_2.atom_sites.add('Ti',  'Ti', 0,     0,     0.223, wyckoff_letter='a', b_iso=0.0, occupancy=0.06)
-model_2.atom_sites.add('O',   'O',  0.436, 0.022, 0.958, wyckoff_letter='b', b_iso=0.0, occupancy=1.0)
+model_2.atom_sites.add('Bi', 'Bi', 0, 0, 0, wyckoff_letter='a', b_iso=0.0, occupancy=0.88)
+model_2.atom_sites.add('Sm', 'Sm', 0, 0, 0, wyckoff_letter='a', b_iso=0.0, occupancy=0.12)
+model_2.atom_sites.add('Fe', 'Fe', 0, 0, 0.223, wyckoff_letter='a', b_iso=0.0, occupancy=0.94)
+model_2.atom_sites.add('Ti', 'Ti', 0, 0, 0.223, wyckoff_letter='a', b_iso=0.0, occupancy=0.06)
+model_2.atom_sites.add('O', 'O', 0.436, 0.022, 0.958, wyckoff_letter='b', b_iso=0.0, occupancy=1.0)
 
 # %% [markdown]
 # ## Define Experiment
@@ -92,7 +92,7 @@
 # #### Download Data
 
 # %%
-#download_from_repository('hrpt_n_Bi0p88Sm0p12Fe0p94Ti0p06O3_DW_V_9x8x52_1p49_HI.xye',
+# download_from_repository('hrpt_n_Bi0p88Sm0p12Fe0p94Ti0p06O3_DW_V_9x8x52_1p49_HI.xye',
 #                         branch='develop',
 #                         destination='data')
 
@@ -237,11 +237,11 @@
 # Set sample model parameters to be optimized.
 
 # %%
-#model_1.cell.length_a.free = True
-#model_1.atom_sites['Co'].b_iso.free = True
-#model_1.atom_sites['O'].b_iso.free = True
+# model_1.cell.length_a.free = True
+# model_1.atom_sites['Co'].b_iso.free = True
+# model_1.atom_sites['O'].b_iso.free = True
 
-#model_2.cell.length_a.free = True
+# model_2.cell.length_a.free = True
 
 # %% [markdown]
 # Set experiment parameters to be optimized.
diff --git a/tutorials-drafts/data/DREAM_mantle_bc240_nist_cif.xye b/tmp/data/DREAM_mantle_bc240_nist_cif.xye
similarity index 100%
rename from tutorials-drafts/data/DREAM_mantle_bc240_nist_cif.xye
rename to tmp/data/DREAM_mantle_bc240_nist_cif.xye
diff --git a/tutorials-drafts/data/DREAM_mantle_bc240_nist_cif_2.xye b/tmp/data/DREAM_mantle_bc240_nist_cif_2.xye
similarity index 100%
rename from tutorials-drafts/data/DREAM_mantle_bc240_nist_cif_2.xye
rename to tmp/data/DREAM_mantle_bc240_nist_cif_2.xye
diff --git a/tutorials-drafts/data/DREAM_mantle_bc240_nist_nc.xye b/tmp/data/DREAM_mantle_bc240_nist_nc.xye
similarity index 100%
rename from tutorials-drafts/data/DREAM_mantle_bc240_nist_nc.xye
rename to tmp/data/DREAM_mantle_bc240_nist_nc.xye
diff --git a/tutorials-drafts/data/DREAM_mantle_bc240_nist_nc_2.xye b/tmp/data/DREAM_mantle_bc240_nist_nc_2.xye
similarity index 100%
rename from tutorials-drafts/data/DREAM_mantle_bc240_nist_nc_2.xye
rename to tmp/data/DREAM_mantle_bc240_nist_nc_2.xye
diff --git a/tutorials-drafts/data/Si_mp-149_symmetrized_mcstas.cif b/tmp/data/Si_mp-149_symmetrized_mcstas.cif
similarity index 100%
rename from tutorials-drafts/data/Si_mp-149_symmetrized_mcstas.cif
rename to tmp/data/Si_mp-149_symmetrized_mcstas.cif
diff --git a/tmp/data/hrpt.cif b/tmp/data/hrpt.cif
new file mode 100644
index 00000000..c4ebee56
--- /dev/null
+++ b/tmp/data/hrpt.cif
@@ -0,0 +1,3140 @@
+data_hrpt
+
+_expt_type.sample_form powder
+_expt_type.beam_mode "constant wavelength"
+_expt_type.radiation_probe neutron
+_expt_type.scattering_type bragg
+
+_peak.broad_gauss_u 0.1
+_peak.broad_gauss_v -0.1
+_peak.broad_gauss_w 0.1
+_peak.broad_lorentz_x 0
+_peak.broad_lorentz_y 0.1
+
+_instr.wavelength 1.494
+_instr.2theta_offset 0.6
+
+loop_
+_pd_phase_block.id
+_pd_phase_block.scale
+lbco 10.0
+
+loop_
+_excluded_region.start
+_excluded_region.end
+  0.0   10.2
+164.7  180.0
+
+loop_
+_pd_background.id
+_pd_background.line_segment_X
+_pd_background.line_segment_intensity
+1   10.0  170.0
+2   30.0  170.0
+3   50.0  170.0
+4  110.0  170.0
+5  165.0  170.0
+
+loop_
+_pd_data.point_id
+_pd_meas.2theta_scan
+_pd_meas.intensity_total
+_pd_meas.intensity_total_su
+   1     10.00    167.00   12.60
+   2     10.05    157.00   12.50
+   3     10.10    187.00   13.30
+   4     10.15    197.00   14.00
+   5     10.20    164.00   12.50
+   6     10.25    171.00   13.00
+   7     10.30    190.00   13.40
+   8     10.35    182.00   13.50
+   9     10.40    166.00   12.60
+  10     10.45    203.00   14.30
+  11     10.50    156.00   12.20
+  12     10.55    190.00   13.90
+  13     10.60    175.00   13.00
+  14     10.65    161.00   12.90
+  15     10.70    187.00   13.50
+  16     10.75    166.00   13.10
+  17     10.80    171.00   13.00
+  18     10.85    177.00   13.60
+  19     10.90    159.00   12.60
+  20     10.95    184.00   13.90
+  21     11.00    160.00   12.60
+  22     11.05    182.00   13.90
+  23     11.10    167.00   13.00
+  24     11.15    169.00   13.40
+  25     11.20    186.00   13.70
+  26     11.25    167.00   13.30
+  27     11.30    169.00   13.10
+  28     11.35    159.00   13.10
+  29     11.40    170.00   13.20
+  30     11.45    179.00   13.90
+  31     11.50    178.00   13.50
+  32     11.55    188.00   14.20
+  33     11.60    176.00   13.50
+  34     11.65    196.00   14.60
+  35     11.70    182.00   13.70
+  36     11.75    183.00   14.00
+  37     11.80    195.00   14.10
+  38     11.85    144.00   12.40
+  39     11.90    178.00   13.50
+  40     11.95    175.00   13.70
+  41     12.00    200.00   14.20
+  42     12.05    157.00   12.90
+  43     12.10    195.00   14.00
+  44     12.15    164.00   13.10
+  45     12.20    188.00   13.70
+  46     12.25    168.00   13.10
+  47     12.30    191.00   13.70
+  48     12.35    178.00   13.40
+  49     12.40    182.00   13.30
+  50     12.45    174.00   13.30
+  51     12.50    171.00   12.90
+  52     12.55    174.00   13.20
+  53     12.60    184.00   13.30
+  54     12.65    164.00   12.80
+  55     12.70    166.00   12.50
+  56     12.75    177.00   13.20
+  57     12.80    174.00   12.80
+  58     12.85    187.00   13.50
+  59     12.90    183.00   13.10
+  60     12.95    187.00   13.50
+  61     13.00    175.00   12.80
+  62     13.05    165.00   12.70
+  63     13.10    177.00   12.80
+  64     13.15    182.00   13.30
+  65     13.20    195.00   13.50
+  66     13.25    163.00   12.60
+  67     13.30    180.00   12.90
+  68     13.35    171.00   12.90
+  69     13.40    182.00   13.00
+  70     13.45    179.00   13.10
+  71     13.50    161.00   12.20
+  72     13.55    156.00   12.30
+  73     13.60    197.00   13.50
+  74     13.65    167.00   12.70
+  75     13.70    180.00   12.80
+  76     13.75    182.00   13.20
+  77     13.80    176.00   12.70
+  78     13.85    153.00   12.10
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+3098     164.85    109.00   41.20
diff --git a/tutorials/data/hrpt_lbco.xye b/tmp/data/hrpt_lbco.xye
similarity index 100%
rename from tutorials/data/hrpt_lbco.xye
rename to tmp/data/hrpt_lbco.xye
diff --git a/tmp/data/large_structure.cif b/tmp/data/large_structure.cif
new file mode 100644
index 00000000..a24a0cce
--- /dev/null
+++ b/tmp/data/large_structure.cif
@@ -0,0 +1,5025 @@
+ data_lbco
+
+ _space_group.IT_coordinate_system_code  1
+ _space_group.name_H-M_alt  "P m -3 m"
+
+ _cell.angle_alpha  90
+ _cell.angle_beta  90
+ _cell.length_a  3.88(1)
+ _cell.length_b  3.88
+ _cell.length_c  3.88
+
+ loop_
+ _atom_site.ADP_type
+ _atom_site.B_iso_or_equiv
+ _atom_site.fract_x
+ _atom_site.fract_y
+ _atom_site.fract_z
+ _atom_site.label
+ _atom_site.occupancy
+ _atom_site.type_symbol
+ _atom_site.Wyckoff_letter
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+ Biso 0.5 0.0 0.5 0.5 O4824 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4825 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4826 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4827 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4828 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4829 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4830 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4831 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4832 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4833 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4834 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4835 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4836 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4837 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4838 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4839 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4840 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4841 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4842 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4843 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4844 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4845 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4846 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4847 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4848 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4849 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4850 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4851 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4852 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4853 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4854 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4855 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4856 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4857 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4858 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4859 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4860 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4861 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4862 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4863 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4864 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4865 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4866 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4867 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4868 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4869 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4870 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4871 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4872 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4873 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4874 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4875 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4876 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4877 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4878 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4879 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4880 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4881 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4882 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4883 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4884 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4885 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4886 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4887 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4888 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4889 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4890 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4891 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4892 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4893 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4894 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4895 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4896 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4897 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4898 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4899 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4900 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4901 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4902 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4903 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4904 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4905 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4906 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4907 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4908 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4909 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4910 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4911 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4912 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4913 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4914 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4915 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4916 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4917 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4918 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4919 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4920 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4921 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4922 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4923 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4924 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4925 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4926 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4927 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4928 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4929 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4930 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4931 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4932 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4933 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4934 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4935 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4936 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4937 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4938 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4939 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4940 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4941 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4942 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4943 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4944 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4945 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4946 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4947 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4948 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4949 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4950 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4951 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4952 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4953 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4954 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4955 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4956 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4957 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4958 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4959 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4960 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4961 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4962 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4963 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4964 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4965 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4966 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4967 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4968 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4969 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4970 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4971 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4972 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4973 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4974 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4975 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4976 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4977 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4978 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4979 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4980 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4981 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4982 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4983 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4984 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4985 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4986 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4987 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4988 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4989 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4990 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4991 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4992 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4993 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4994 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4995 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4996 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4997 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4998 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O4999 1.0 O c
+ Biso 0.5 0.0 0.5 0.5 O5000 1.0 O c
diff --git a/tmp/data/lbco.cif b/tmp/data/lbco.cif
new file mode 100644
index 00000000..47bb7dda
--- /dev/null
+++ b/tmp/data/lbco.cif
@@ -0,0 +1,36 @@
+ data_lbco
+
+ _space_group.IT_coordinate_system_code  1
+ _space_group.name_H-M_alt  "P m -3 m"
+
+ _cell.angle_alpha  90
+ _cell.angle_beta  90
+ _cell.length_a  3.88
+ _cell.length_b  3.88
+ _cell.length_c  3.88
+
+ loop_
+ _atom_site.ADP_type
+ _atom_site.B_iso_or_equiv
+ _atom_site.fract_x
+ _atom_site.fract_y
+ _atom_site.fract_z
+ _atom_site.label
+ _atom_site.occupancy
+ _atom_site.type_symbol
+ _atom_site.Wyckoff_letter
+ Biso 0.5 0.0 0.0 0.0 La 0.5 La a
+ Biso 0.5 0.0 0.0 0.0 Ba 0.5 Ba a
+ Biso 0.5 0.5 0.5 0.5 Co 1.0 Co b
+ Biso 0.5 0.0 0.5 0.5 O 1.0 O c
+
+ loop_
+ _pd_meas.2theta_scan
+ _pd_proc.intensity_total
+ _pd_calc.intensity_total_su
+ 10.0 167.0 12.6
+ 10.05 157.0 12.5
+ 10.1 187.0 13.3
+ 10.15 197.0 14.0
+ 10.2 164.0 12.5
+ 10.25 171.0 13.0
diff --git a/tutorials/data/mcstas_lbco-si.xys b/tmp/data_old/mcstas_lbco-si.xys
similarity index 100%
rename from tutorials/data/mcstas_lbco-si.xys
rename to tmp/data_old/mcstas_lbco-si.xys
diff --git a/tutorials/data/mcstas_lbco-si_up-to-108k.xys b/tmp/data_old/mcstas_lbco-si_up-to-108k.xys
similarity index 100%
rename from tutorials/data/mcstas_lbco-si_up-to-108k.xys
rename to tmp/data_old/mcstas_lbco-si_up-to-108k.xys
diff --git a/tutorials/data/powder_reduced_Si_2large_bank.xye b/tmp/data_old/powder_reduced_Si_2large_bank.xye
similarity index 100%
rename from tutorials/data/powder_reduced_Si_2large_bank.xye
rename to tmp/data_old/powder_reduced_Si_2large_bank.xye
diff --git a/tutorials/data/reduced_LBCO.xye b/tmp/data_old/reduced_LBCO.xye
similarity index 100%
rename from tutorials/data/reduced_LBCO.xye
rename to tmp/data_old/reduced_LBCO.xye
diff --git a/tutorials/data/reduced_Si.xye b/tmp/data_old/reduced_Si.xye
similarity index 100%
rename from tutorials/data/reduced_Si.xye
rename to tmp/data_old/reduced_Si.xye
diff --git a/tutorials/data/wish_ncaf.xye b/tmp/data_old/wish_ncaf.xye
similarity index 100%
rename from tutorials/data/wish_ncaf.xye
rename to tmp/data_old/wish_ncaf.xye
diff --git a/tutorials/data/wish_ncaf_2_9.xye b/tmp/data_old/wish_ncaf_2_9.xye
similarity index 100%
rename from tutorials/data/wish_ncaf_2_9.xye
rename to tmp/data_old/wish_ncaf_2_9.xye
diff --git a/tutorials/data/wish_ncaf_4_7.xye b/tmp/data_old/wish_ncaf_4_7.xye
similarity index 100%
rename from tutorials/data/wish_ncaf_4_7.xye
rename to tmp/data_old/wish_ncaf_4_7.xye
diff --git a/tutorials/data/wish_ncaf_4_7.xys b/tmp/data_old/wish_ncaf_4_7.xys
similarity index 100%
rename from tutorials/data/wish_ncaf_4_7.xys
rename to tmp/data_old/wish_ncaf_4_7.xys
diff --git a/tutorials/data/wish_ncaf_5_6.xye b/tmp/data_old/wish_ncaf_5_6.xye
similarity index 100%
rename from tutorials/data/wish_ncaf_5_6.xye
rename to tmp/data_old/wish_ncaf_5_6.xye
diff --git a/tutorials/data/wish_ybcfo_5_6.xye b/tmp/data_old/wish_ybcfo_5_6.xye
similarity index 100%
rename from tutorials/data/wish_ybcfo_5_6.xye
rename to tmp/data_old/wish_ybcfo_5_6.xye
diff --git a/tmp/display.py b/tmp/display.py
new file mode 100644
index 00000000..1fd08a68
--- /dev/null
+++ b/tmp/display.py
@@ -0,0 +1,413 @@
+import sys, os
+sys.path.insert(0, "src")
+os.chdir("/Users/andrewsazonov/Development/github.com/EasyScience/diffraction-lib")
+import easydiffraction as ed
+
+project = ed.Project()
+
+print(project.tabler.engine)
+project.tabler.engine = 'pandas'
+project.tabler.engine = 'rich'
+project.tabler.engine = 'rich2'
+project.tabler.engine = 'pandas'
+
+project.tabler.show_supported_engines()
+
+project.tabler.engine = 'rich'
+project.tabler.engine = 'pandas'
+project.tabler.engine = 'rich2'
+project.tabler.engine = 'rich'
+
+project.tabler.show_supported_engines()
+
+
+
+# +
+import pyarrow as pa
+
+# Creating two tables to join
+left_table = pa.table({'key': [1, 2, 3], 'value_left': ['A', 'B', 'C']})
+right_table = pa.table({'key': [1, 2, 3], 'value_right': ['X', 'Y', 'Z']})
+
+# Performing an inner join on the 'key' column
+joined_table = left_table.join(right_table, keys='key')
+print(joined_table)
+# -
+
+
+
+# +
+import polars as pl
+import pandas as pd
+
+df = pl.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [32, 28, 36],
+    "City": ["London", "Paris", "New York"],
+}).to_pandas()
+
+alignments = ["left", "center", "right"]
+
+styles = [
+    {"selector": "th", "props": [("border", "1px solid black"), ("text-align", "center")]},
+    {"selector": "td", "props": [("border", "1px solid black")]},
+]
+
+styled = df.style.set_table_styles(styles).apply(
+    lambda row: ["background-color: #f9f9f9" if row.name % 2 else "" for _ in row], axis=1
+)
+
+for col, align in zip(df.columns, alignments):
+    styled = styled.set_properties(subset=[col], **{"text-align": align})
+
+styled  # ✅ works in Jupyter, plain Pandas Styler
+
+# +
+from itables import options
+
+options.allow_html = True
+
+# +
+import polars as pl
+import pandas as pd
+
+df = pl.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [32, 28, 36],
+    "City": ["London", "Paris", "New York"],
+}).to_pandas()
+
+alignments = ["left", "center", "right"]
+
+styles = [
+    {"selector": "th", "props": [("border", "1px solid black"), ("text-align", "center")]},
+    {"selector": "td", "props": [("border", "1px solid black")]},
+]
+
+styled = df.style.set_table_styles(styles).apply(
+    lambda row: ["background-color: #f9f9f9" if row.name % 2 else "" for _ in row], axis=1
+)
+
+for col, align in zip(df.columns, alignments):
+    styled = styled.set_properties(subset=[col], **{"text-align": align})
+
+styled  # ✅ works in Jupyter, plain Pandas Styler
+
+# +
+import pyarrow as pa
+import pandas as pd
+
+schema = pa.schema([
+    pa.field("Name", pa.string(), metadata={"align": "left"}),
+    pa.field("Age", pa.int32(), metadata={"align": "center"}),
+    pa.field("City", pa.string(), metadata={"align": "right"}),
+])
+
+table = pa.Table.from_pydict(
+    {"Name": ["Alice", "Bob", "Charlie"], "Age": [32, 28, 36], "City": ["London", "Paris", "New York"]},
+    schema=schema
+)
+
+df = table.to_pandas()
+alignments = [field.metadata.get(b"align", b"left").decode() for field in schema]
+
+styled = df.style.apply(
+    lambda row: ["background-color: #f2f2f2" if row.name % 2 else "" for _ in row], axis=1
+)
+
+for col, align in zip(df.columns, alignments):
+    styled = styled.set_properties(subset=[col], **{"text-align": align})
+
+styled  # ✅ works in Jupyter
+
+# +
+import pandas as pd
+import ipydatagrid as gd
+from IPython.display import display
+
+df = pd.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [32, 28, 36],
+    "City": ["London", "Paris", "New York"],
+})
+
+grid = gd.DataGrid(
+    df,
+    style={
+        "header": {"font_weight": "bold", "text_align": "center", "background_color": "#ddd"},
+        "row_even": {"background_color": "#f9f9f9"},
+        "row_odd": {"background_color": "#ffffff"},
+        "cell": {"border": "1px solid black"},
+        "column_Name": {"text_align": "left"},
+        "column_Age": {"text_align": "center"},
+        "column_City": {"text_align": "right"},
+    },
+    auto_fit_columns=True,
+)
+
+display(grid)   # ✅ force Jupyter to show the widget instead of repr
+
+# +
+import pandas as pd
+from itables import init_notebook_mode, show
+
+init_notebook_mode(all_interactive=True)  # global setup
+
+df = pd.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [32, 28, 36],
+    "City": ["London", "Paris", "New York"],
+})
+
+alignments = ["left", "center", "right"]
+
+styled = df.style.apply(
+    lambda row: ["background-color: red" if row.name % 2 else "" for _ in row], axis=1
+)
+
+for col, align in zip(df.columns, alignments):
+    styled = styled.set_properties(subset=[col], **{"text-align": align})
+
+# ✅ must pass allow_html=True here
+show(styled, allow_html=True)
+
+# +
+from ipydatagrid import DataGrid
+from IPython.display import display
+import pandas as pd
+
+df = pd.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [25, 30, 35],
+    "Score": [85.5, 90.2, 88.8],
+})
+
+grid = DataGrid(df)
+display(grid)  # <-- Should render interactive table if widgets are enabled
+
+# +
+import pandas as pd
+
+# Example dataframe
+df = pd.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [25, 30, 35],
+    "Score": [85.5, 90.2, 88.8],
+    "_align": ["left", "center", "right"]  # alignment metadata
+})
+
+# Exclude _align when displaying
+display(df.drop(columns="_align"))
+
+# Define a styler
+styled = (
+    df.style
+    .set_properties(**{
+        "border": "1px solid grey",
+        "border-collapse": "collapse",
+    })
+    .set_table_styles(
+        [
+            {"selector": "th", "props": [("text-align", "center"), ("background-color", "#f2f2f2")]},
+            {"selector": "td", "props": [("padding", "4px 8px")]},
+        ],
+        overwrite=False,
+    )
+    .apply(lambda s: ["background-color: #f9f9f9" if i % 2 == 0 else "" for i in range(len(s))], axis=0)
+)
+
+# Apply column-specific alignment
+for col, a in align.items():
+    styled = styled.set_properties(subset=[col], **{"text-align": a})
+
+display(styled)
+
+
+# +
+import pandas as pd
+
+# Build DataFrame with MultiIndex columns
+df = pd.DataFrame({
+    ("Name", "left"): ["Alice", "Bob", "Charlie"],
+    ("Age", "center"): [25, 3000, 35],
+    ("Score", "right"): [85.5, 90.2, 88.8],
+})
+
+filtered_df = df[['Name', 'Age']]
+print(filtered_df)
+# -
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# +
+import pandas as pd
+
+# Build DataFrame with MultiIndex columns
+df = pd.DataFrame({
+    ("Name", "left"): ["Alice", "Bob", "Charlie"],
+    ("Age", "center"): [25, 30, 35],
+    ("Score", "right"): [85.5, 90.2, 88.8],
+})
+
+filtered = 
+
+
+df.columns = pd.MultiIndex.from_tuples(df.columns, names=["#", "align"])
+
+# Extract alignments
+alignments = dict(zip(df.columns.get_level_values("#"),
+                      df.columns.get_level_values("align")))
+
+# Drop alignment level for display
+df_display = df.copy()
+#df_display.columns = df_display.columns.get_level_values("#")
+
+# Styler with alignment + number formatting
+def apply_alignment(styler, aligns):
+    for col, align in aligns.items():
+        styler = styler.set_properties(
+            subset=[col],
+            **{ "text-align": align }
+        )
+    return styler
+
+styled = apply_alignment(df_display.style, alignments).format(
+    precision=2,  # max 2 decimals
+    na_rep="",    # empty for NaN
+)
+
+
+html = styled.to_html(
+            escape=False,
+            index=False,
+            #formatters=formatters,
+            #border=0,
+            #header=not skip_headers,
+        )
+
+display(HTML(html))
+
+# +
+import pandas as pd
+
+# Create DataFrame with MultiIndex columns (name, alignment)
+df = pd.DataFrame(
+    {
+        ("#", "left"):   [1, 2, 3],
+        ("Name", "left"): ["Alice", "Bob", "Charlie"],
+        ("Age", "center"): [25, 30, 35],
+        ("Score", "right"): [85.5, 90.2, 88.8],
+    }
+)
+
+# Extract alignments in a simple way
+alignments = {col: align for col, align in df.columns}
+
+# Drop MultiIndex for display (keep only column names)
+df.columns = [col for col, _ in df.columns]
+
+# Apply alignment via Styler
+styler = df.style.set_properties(**{
+    "text-align": "center"  # default
+})
+for col, align in alignments.items():
+    styler = styler.set_properties(subset=[col], **{"text-align": align})
+
+# Hide the pandas default index
+styler = styler.hide(axis="index")
+
+# Optional: set precision for numeric formatting
+styler = styler.format(precision=1)
+
+styler
+
+# +
+import pandas as pd
+
+df = pd.DataFrame({
+    "_align": ["center", "left", "left"],  # alignment metadata
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [25, 30000, 35],
+    "Score": [85.5, 90.2, 88.8],
+})
+
+# Exclude _align when displaying
+#display(df.drop(columns="_align"))
+
+# Use _align column when building Styler
+align = dict(zip(df.columns[:-1], df["_align"]))
+print(align.values())
+#styled = df.drop(columns="_align").style.set_properties(
+#    **{f"text-align": v for v in align.values()}
+#)
+
+# Apply alignment via Styler
+styled = df.style.set_properties(**{
+    "text-align": "center"  # default
+})
+for col, align in alignments.items():
+    styled = styler.set_properties(subset=[col], **{"text-align": align})
+
+html = styled.to_html(
+            escape=False,
+            index=False,
+            #formatters=formatters,
+            #border=0,
+            #header=not skip_headers,
+        )
+display(HTML(html))
+
+
+print(df.index)
+# -
+
+
+
+# +
+df = pd.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [25, 30, 35],
+    "Score": [85.5, 90.2, 88.8],
+})
+
+df.attrs["align"] = {"Name": "left", "Age": "center", "Score": "right"}
+
+# Retrieve later
+align = df.attrs.get("align", {})
+styled = df.style.set_properties(
+    **{col: f"text-align: {a}" for col, a in align.items()}
+)
+html = styled.to_html(
+            escape=False,
+            index=False,
+            #formatters=formatters,
+            #border=0,
+            #header=not skip_headers,
+        )
+display(HTML(html))
+# -
+
+
diff --git a/tmp/display2.py b/tmp/display2.py
new file mode 100644
index 00000000..47a325a3
--- /dev/null
+++ b/tmp/display2.py
@@ -0,0 +1,28 @@
+import pandas as pd
+
+df = pd.DataFrame({
+    "Name": ["Alice", "Bob", "Charlie"],
+    "Age": [25, 30000, 35],
+    "Score": [85.5, 90.2, 88.8],
+})
+
+df
+
+# Filtering
+df = df[['Name', 'Age']]
+
+alignments = ["left", "center", "right"]
+
+styles = [
+    {"selector": "th", "props": [("border", "1px solid green"), ("text-align", "center")]},
+    {"selector": "td", "props": [("border", "1px solid red")]},
+]
+
+styled = df.style.set_table_styles(styles)
+
+for col, align in zip(df.columns, alignments):
+    styled = styled.set_properties(subset=[col], **{"text-align": align})
+
+styled
+
+
diff --git a/tmp/display3-Copy1.py b/tmp/display3-Copy1.py
new file mode 100644
index 00000000..0da4deac
--- /dev/null
+++ b/tmp/display3-Copy1.py
@@ -0,0 +1,45 @@
+import pandas as pd
+
+df = pd.DataFrame({
+    ("Name", "left"): ["Alice", "Bob", "Charlie"],
+    ("Age", "center"): [25, 3000, 35],
+    ("Score", "right"): [6585.5, 90.202, -558.8],
+})
+df
+
+# Filtering
+df = df[['Name', 'Score']]
+df
+
+# +
+# Table Model
+# -
+
+#import sys, os
+#sys.path.insert(0, "src")
+#os.chdir("/Users/andrewsazonov/Development/github.com/EasyScience/diffraction-lib")
+import easydiffraction as ed
+
+from easydiffraction.display.tables import TableRenderer
+
+
+tabler = TableRenderer()
+
+tabler.render(df)
+
+
+
+tabler.show_config()
+tabler.show_supported_engines()
+
+tabler.show_current_engine()
+
+tabler.engine = 'pandas'
+
+tabler.render(df)
+
+tabler.show_supported_engines()
+
+
+
+
diff --git a/tmp/display3.py b/tmp/display3.py
new file mode 100644
index 00000000..822ba960
--- /dev/null
+++ b/tmp/display3.py
@@ -0,0 +1,173 @@
+import pandas as pd
+
+FLOAT_PRECISION = 4
+
+df = pd.DataFrame({
+    ("Name", "left"): ["Alice", "Bob", "Charlie"],
+    ("Age", "center"): [25, 3000, 35],
+    ("Score", "right"): [6585.5, 90.202, -558.8],
+})
+df
+
+# Filtering
+df = df[['Name', 'Age', 'Score']]
+
+# +
+# Table Model
+# -
+
+# Force starting index from 1
+df.index += 1
+
+
+# +
+def rich_to_hex(color):
+    from rich.color import Color
+    c = Color.parse(color)
+    rgb = c.get_truecolor()
+    hex_value = "#{:02x}{:02x}{:02x}".format(*rgb)
+    return hex_value
+
+# Styling
+rich_dim_color_dark = "grey35"
+rich_dim_color_light = "grey85"
+pd_dim_color_dark = rich_to_hex(rich_dim_color_dark)
+pd_dim_color_light = rich_to_hex(rich_dim_color_light)
+
+# +
+from jupyter_dark_detect import is_dark
+from IPython import get_ipython
+
+def is_dark_theme() -> bool:
+    """Return 'dark' or 'light'. 
+    If not running inside Jupyter, return default."""
+    default = True
+    
+    in_jupyter = get_ipython() is not None and \
+                 get_ipython().__class__.__name__ == "ZMQInteractiveShell"
+    
+    if not in_jupyter:
+        return default
+
+    return True if is_dark() else False
+
+
+rich_dim_color = rich_dim_color_dark if is_dark_theme() else rich_dim_color_light
+pd_dim_color = pd_dim_color_dark if is_dark_theme() else pd_dim_color_light
+print("is_dark", is_dark_theme())
+print("rich_dim_color", rich_dim_color)
+print("pd_dim_color", pd_dim_color)
+
+
+# +
+# Model View: Rich
+from rich.table import Table
+from rich.console import Console
+from rich.box import Box
+# box.SQUARE
+# ┌─┬┐ top
+# │ ││ head
+# ├─┼┤ head_row
+# │ ││ mid
+# ├─┼┤ foot_row
+# ├─┼┤ foot_row
+# │ ││ foot
+# └─┴┘ bottom
+custom_box = Box(
+    """\
+┌──┐
+│  │
+├──┤
+│  │
+├──┤
+├──┤
+│  │
+└──┘
+""",
+    ascii=False,
+)
+
+
+console = Console()
+table = Table(
+    title=None,
+    box=custom_box,
+    show_header=True,
+    header_style='bold',
+    border_style=rich_dim_color,
+)
+
+# Add index column header first
+#table.add_column("#", justify="right")
+table.add_column(style=rich_dim_color)
+
+# Add other column headers with alignment from 2nd level
+for col, align in zip(df.columns.get_level_values(0), df.columns.get_level_values(1)):
+    table.add_column(str(col), justify=align)
+
+# Define precision
+float_fmt = (f"{{:.{FLOAT_PRECISION}f}}").format
+
+# Add rows (prepend the index value as first column)
+for idx, row in df.iterrows():
+    formatted_row = [
+        float_fmt(val) if isinstance(val, float) else str(val)
+        for val in row
+    ]
+    #table.add_row(str(idx), *map(str, row))
+    table.add_row(str(idx), *formatted_row)
+    
+console.print(table)
+# -
+
+# Extract column alignments
+alignments = df.columns.get_level_values(1)
+alignments
+
+# Remove alignments from df (Keep only the first index level)
+df.columns = df.columns.get_level_values(0)
+df
+
+# +
+styled = (
+    df.style
+      .set_table_styles(
+          [
+              # Outer border on the entire table
+              {"selector": " ", "props": [
+                  ("border", f"1px solid {pd_dim_color}"),
+                  ("border-collapse", "collapse")
+              ]},
+
+              # Horizontal border under header row
+              {"selector": "thead", "props": [
+                  ("border-bottom", f"1px solid {pd_dim_color}")
+              ]},
+
+              # Remove all cell borders
+              {"selector": "th, td", "props": [
+                  ("border", "none")
+              ]},
+
+              # Style for index column
+              {"selector": "th.row0, th.row1, th.row2, th.row_heading", "props": [
+                  ("color", pd_dim_color),
+                  ("font-weight", "normal")
+              ]},
+          ]
+      )
+      .format(precision=FLOAT_PRECISION)
+)
+
+styled
+# -
+# column alignment
+for col, align in zip(df.columns, alignments):
+    styled = styled.set_properties(subset=[col], **{"text-align": align})
+styled
+
+
+
+
+
+
diff --git a/tmp/generate_overview_mermaid.py b/tmp/generate_overview_mermaid.py
new file mode 100644
index 00000000..67dce703
--- /dev/null
+++ b/tmp/generate_overview_mermaid.py
@@ -0,0 +1,309 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Generate an overview Mermaid class diagram dynamically from code.
+
+This script scans the source tree with Python's AST to discover:
+ - Classes and their inheritance
+ - Key composition relationships (via __init__ assignments or property
+     return annotations)
+ - Collection "contains" relationships for DatablockCollection
+
+It renders an overview Mermaid classDiagram that automatically adapts
+to project structure changes. Analysis internals are intentionally
+omitted; we only keep the top-level link from Project to Analysis.
+
+Output: docs/architecture/overview-diagram.md
+
+Run (from repo root):
+        pixi run python tools/generate_overview_mermaid.py
+"""
+
+from __future__ import annotations
+
+import ast
+from dataclasses import dataclass
+from dataclasses import field
+from pathlib import Path
+from typing import Dict
+from typing import Iterable
+from typing import List
+from typing import Optional
+from typing import Set
+from typing import Tuple
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+SRC_ROOT = REPO_ROOT / 'src' / 'easydiffraction'
+DOCS_OUT_DIR = REPO_ROOT / 'docs' / 'architecture'
+OUT_MD = DOCS_OUT_DIR / 'overview-diagram.md'
+
+
+@dataclass
+class ClassInfo:
+    name: str
+    module: str  # e.g., experiments/experiment_types/powder.py
+    bases: List[str]  # base class names (unqualified)
+    category: Optional[str] = None  # container | collection | baseclass | measurement | model
+    compositions: Set[str] = field(default_factory=set)  # composed-with class names
+    contains: Set[str] = field(default_factory=set)  # collection element types
+
+
+INCLUDE_FILES = [
+    # Project and Summary
+    SRC_ROOT / 'project' / 'project.py',
+    SRC_ROOT / 'project' / 'project_info.py',
+    SRC_ROOT / 'summary' / 'summary.py',
+    SRC_ROOT / 'analysis' / 'analysis.py',
+    # Sample models
+    SRC_ROOT / 'sample_models' / 'sample_models.py',
+    SRC_ROOT / 'sample_models' / 'sample_model.py',
+    SRC_ROOT / 'sample_models' / 'sample_model_types' / 'base.py',
+    # Experiments
+    SRC_ROOT / 'experiments' / 'experiments.py',
+    SRC_ROOT / 'experiments' / 'experiment.py',
+    SRC_ROOT / 'experiments' / 'experiment_types' / 'base.py',
+]
+
+
+def iter_experiment_type_files() -> Iterable[Path]:
+    expt_dir = SRC_ROOT / 'experiments' / 'experiment_types'
+    if not expt_dir.exists():
+        return []
+    skip = {'__init__.py', 'base.py', 'enums.py', 'instrument_mixin.py'}
+    for py in sorted(expt_dir.glob('*.py')):
+        if py.name in skip:
+            continue
+        yield py
+
+
+def parse_file(py_path: Path) -> Optional[ast.Module]:
+    try:
+        src = py_path.read_text(encoding='utf-8')
+        return ast.parse(src)
+    except Exception:
+        return None
+
+
+def name_from_node(n: ast.AST) -> Optional[str]:
+    if isinstance(n, ast.Name):
+        return n.id
+    if isinstance(n, ast.Attribute):
+        # Return attribute tail (unqualified)
+        return n.attr
+    return None
+
+
+def discover_classes() -> Dict[str, ClassInfo]:
+    files = list(INCLUDE_FILES) + list(iter_experiment_type_files())
+    classes: Dict[str, ClassInfo] = {}
+
+    for py in files:
+        mod = parse_file(py)
+        if not mod:
+            continue
+        rel_module = str(py.relative_to(SRC_ROOT))
+        for node in mod.body:
+            if isinstance(node, ast.ClassDef):
+                base_names = [name_from_node(b) for b in node.bases]
+                base_names = [n for n in base_names if n]
+                ci = ClassInfo(name=node.name, module=rel_module, bases=base_names)
+                classes[ci.name] = ci
+
+        # Second pass: gather compositions and contains
+        for node in mod.body:
+            if isinstance(node, ast.ClassDef):
+                ci = classes.get(node.name)
+                if not ci:
+                    continue
+                for inner in node.body:
+                    # __init__ assignments: self.attr = SomeClass(...)
+                    if isinstance(inner, ast.FunctionDef) and inner.name == '__init__':
+                        for stmt in ast.walk(inner):
+                            if isinstance(stmt, ast.Assign):
+                                # Look for Call on RHS
+                                if isinstance(stmt.value, ast.Call):
+                                    callee = name_from_node(stmt.value.func)
+                                    if callee:
+                                        ci.compositions.add(callee)
+                            if isinstance(stmt, ast.Expr) and isinstance(stmt.value, ast.Call):
+                                # super().__init__(item_type=SomeClass)
+                                call = stmt.value
+                                func_name = name_from_node(call.func)
+                                if func_name == '__init__' and isinstance(call, ast.Call):
+                                    for kw in call.keywords:
+                                        if kw.arg == 'item_type':
+                                            n = name_from_node(kw.value)
+                                            if n:
+                                                ci.contains.add(n)
+                    # @property return annotation: def x(self) -> SomeClass
+                    if isinstance(inner, ast.FunctionDef):
+                        if inner.returns is not None:
+                            ann = name_from_node(inner.returns)
+                            if ann:
+                                ci.compositions.add(ann)
+
+    # Categorize
+    for ci in classes.values():
+        path = ci.module
+        # Collections
+        if 'DatablockCollection' in ci.bases:
+            ci.category = 'collection'
+        # Measurement (concrete experiment types)
+        elif (
+            'experiments/experiment_types/' in path
+            and ci.name.endswith('Experiment')
+            and not ci.name.startswith('Base')
+        ):
+            ci.category = 'measurement'
+        # Base classes (heuristic)
+        elif ci.name.startswith('Base'):
+            ci.category = 'baseclass'
+        # Models
+        elif 'sample_models/' in path and ci.name in {'BaseSampleModel', 'SampleModel'}:
+            ci.category = 'model'
+        # Containers
+        elif path.endswith('project.py') and ci.name == 'Project' or path.endswith('project_info.py') and ci.name == 'ProjectInfo' or path.endswith('summary.py') and ci.name == 'Summary' or path.endswith('analysis/analysis.py') and ci.name == 'Analysis':
+            ci.category = 'container'
+        # Keep others uncategorized (they will still participate via edges)
+
+    return classes
+
+
+# -----------------
+# Mermaid rendering
+# -----------------
+
+
+def mermaid_header() -> str:
+    return 'classDiagram\n'
+
+
+def mermaid_classes(classes: Dict[str, ClassInfo]) -> str:
+    lines: List[str] = []
+    for ci in classes.values():
+        # Limit to overview classes: containers, collections, models, baseclasses, measurements
+        if ci.category in {'container', 'collection', 'model', 'baseclass', 'measurement'}:
+            style = f':::{ci.category}' if ci.category else ''
+            lines.append(f'    class {ci.name}{style}')
+    return '\n'.join(lines) + ('\n\n' if lines else '')
+
+
+def build_edges(classes: Dict[str, ClassInfo]) -> Tuple[List[str], List[str], List[str]]:
+    """Return (inheritance, composition, contains) edge lists."""
+    # Work only with classes we render as overview categories
+    showable = {
+        name
+        for name, ci in classes.items()
+        if ci.category in {'container', 'collection', 'model', 'baseclass', 'measurement'}
+    }
+
+    inheritance: List[str] = []
+    composition: List[str] = []
+    contains: List[str] = []
+
+    # Inheritance: Parent <|-- Child
+    for child_name, ci in classes.items():
+        for base in ci.bases:
+            if base in showable and child_name in showable:
+                inheritance.append(f'    {base} <|-- {child_name}')
+
+    # Composition: A *-- B (if A composes B)
+    for a_name, ci in classes.items():
+        if a_name not in showable:
+            continue
+        for b in ci.compositions:
+            if b in showable:
+                # Special-case: hide Analysis internals; keep only Project *-- Analysis
+                if b == 'Analysis' and a_name != 'Project':
+                    continue
+                composition.append(f'    {a_name} *-- {b}')
+
+    # Contains: Collections "1" -- "*" T : contains
+    for a_name, ci in classes.items():
+        if ci.category != 'collection':
+            continue
+        for t in ci.contains:
+            if t in classes:
+                # Expand Experiments contains Experiment into all concrete measurements
+                if a_name == 'Experiments' and t == 'Experiment':
+                    for name, c2 in classes.items():
+                        if c2.category == 'measurement':
+                            contains.append(f'    {a_name} "1" -- "*" {name} : contains')
+                else:
+                    contains.append(f'    {a_name} "1" -- "*" {t} : contains')
+
+    return inheritance, composition, contains
+
+
+def mermaid_relationships(classes: Dict[str, ClassInfo]) -> str:
+    inh, comp, cont = build_edges(classes)
+    lines: List[str] = []
+    lines.append('    %% Relationships %%\n')
+    if comp or cont or inh:
+        lines.append('')
+    lines.extend(inh)
+    if inh and (comp or cont):
+        lines.append('')
+    lines.extend(cont)
+    if cont and comp:
+        lines.append('')
+    lines.extend(comp)
+    lines.append('\n')
+    return '\n'.join(lines)
+
+
+def mermaid_styles() -> str:
+    return (
+        '    %%%%%%%%%%%%%\n'
+        '    %% STYLING %%\n'
+        '    %%%%%%%%%%%%%\n\n'
+        '    %% Abstract Base Classes\n'
+        '    classDef baseclass fill:#6A5ACD,stroke:#333,stroke-width:1px,color:white;\n\n'
+        '    %% Containers (Project, ProjectInfo, Summary, Analysis)\n'
+        '    classDef container fill:#455A64,stroke:#333,stroke-width:1px,color:white;\n\n'
+        '    %% Collections (SampleModels, Experiments)\n'
+        '    classDef collection fill:#607D8B,stroke:#333,stroke-width:1px,color:white;\n\n'
+        '    %% Concrete Experiments\n'
+        '    classDef measurement fill:#4682B4,stroke:#0D47A1,stroke-width:1px,color:white;\n\n'
+        '    %% Models (SampleModel, StructuralModel)\n'
+        '    classDef model fill:#009688,stroke:#004D40,stroke-width:1px,color:white;\n'
+    )
+
+
+def build_mermaid() -> str:
+    classes = discover_classes()
+    parts = [
+        mermaid_header(),
+        mermaid_classes(classes),
+        mermaid_relationships(classes),
+        mermaid_styles(),
+    ]
+    return ''.join(parts)
+
+
+def write_markdown(mermaid: str) -> None:
+    DOCS_OUT_DIR.mkdir(parents=True, exist_ok=True)
+    content = [
+        '# Architecture Overview',
+        '',
+        '```mermaid',
+        mermaid,
+        '```',
+        '',
+        '> Note: This diagram is auto-generated. Edit tools/generate_overview_mermaid.py to change structure or style.',
+        '',
+    ]
+    OUT_MD.write_text('\n'.join(content), encoding='utf-8')
+    rel = OUT_MD.relative_to(REPO_ROOT)
+    print(f'Wrote: {rel}')
+
+
+def main() -> None:
+    if not SRC_ROOT.exists():
+        raise SystemExit(f'Source root not found: {SRC_ROOT}')
+    mermaid = build_mermaid()
+    write_markdown(mermaid)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tutorials-drafts/hrpt_n_Bi0p88Sm0p12Fe0p94Ti0p06O3_DW_V_9x8x52_1p49_HI.xye b/tmp/hrpt_n_Bi0p88Sm0p12Fe0p94Ti0p06O3_DW_V_9x8x52_1p49_HI.xye
similarity index 100%
rename from tutorials-drafts/hrpt_n_Bi0p88Sm0p12Fe0p94Ti0p06O3_DW_V_9x8x52_1p49_HI.xye
rename to tmp/hrpt_n_Bi0p88Sm0p12Fe0p94Ti0p06O3_DW_V_9x8x52_1p49_HI.xye
diff --git a/tmp/short.py b/tmp/short.py
new file mode 100644
index 00000000..4c731568
--- /dev/null
+++ b/tmp/short.py
@@ -0,0 +1,94 @@
+from easydiffraction import Experiment
+from easydiffraction import Experiments
+from easydiffraction.utils.logging import logger
+from easydiffraction import Project
+from easydiffraction import SampleModel
+from easydiffraction import SampleModels
+from easydiffraction.experiments.categories.linked_phases import LinkedPhase
+from easydiffraction.experiments.categories.linked_phases import LinkedPhases
+from easydiffraction.sample_models.categories.atom_sites import AtomSite
+from easydiffraction.sample_models.categories.atom_sites import AtomSites
+from easydiffraction.sample_models.categories.cell import Cell
+from easydiffraction.sample_models.categories.space_group import SpaceGroup
+
+Logger.configure(mode=Logger.Mode.LOG, level=Logger.Level.DEBUG)
+# Logger.configure(mode=Logger.Mode.RAISE, level=Logger.Level.DEBUG)
+
+sg = SpaceGroup()
+sg.name_h_m = 'P n m a'
+sg.it_coordinate_system_code = 'cab'
+
+cell = Cell()
+cell.length_a = 5.4603
+
+site = AtomSite()
+site.type_symbol = 'Si'
+
+sites = AtomSites()
+sites.add_from_args(site)
+
+model = SampleModel(name='mdl')
+model.space_group = sg
+model.cell = cell
+model.atom_sites = sites
+
+
+print(model.parameters)
+
+models = SampleModels()
+# models.add_from_args(model)
+models.add_from_cif_path('tutorials/data/lbco.cif')
+
+print(models)
+for p in models.parameters:
+    print(p)
+print(models.as_cif)
+
+exp = Experiment(name='hrpt', data_path='tutorials/data/hrpt_lbco.xye')
+print(exp)
+
+linked_phases = LinkedPhases()
+linked_phase = LinkedPhase(id='lbco', scale=10.0)
+linked_phases.add_from_args(linked_phase)
+
+exp.linked_phases = linked_phases
+
+exp.instrument.setup_wavelength = 1.494
+exp.instrument.calib_twotheta_offset = 0.6
+
+exp.peak.broad_gauss_u = 0.1
+exp.peak.broad_gauss_v = -0.1
+exp.peak.broad_gauss_w = 0.1
+exp.peak.broad_lorentz_y = 0.1
+
+# exp.background.add_from_args(x=10, y=170)
+# exp.background.add_from_args(x=30, y=170)
+# exp.background.add_from_args(x=50, y=170)
+# exp.background.add_from_args(x=110, y=170)
+# exp.background.add_from_args(x=165, y=170)
+
+experiments = Experiments()
+print(experiments)
+
+experiments.add(exp)
+print(experiments)
+for p in experiments.parameters:
+    print(p)
+# print(experiments.as_cif)
+
+
+proj = Project(name='PROJ')
+print(proj)
+
+proj.sample_models = models
+proj.experiments = experiments
+
+
+# proj.plotter.engine = 'plotly'
+
+proj.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41)
+
+
+models['lbco'].cell.length_a.free = True
+print('----', models['lbco'].cell.length_a.free)
+# proj.analysis.show_free_params()
diff --git a/tmp/short2.py b/tmp/short2.py
new file mode 100644
index 00000000..d1bd5eb1
--- /dev/null
+++ b/tmp/short2.py
@@ -0,0 +1,228 @@
+import easydiffraction as ed
+from easydiffraction import Experiment
+from easydiffraction import Experiments
+from easydiffraction import Project
+from easydiffraction import SampleModel
+from easydiffraction import SampleModels
+from easydiffraction.experiments.categories.background import LineSegmentBackground
+from easydiffraction.experiments.categories.background import Point
+from easydiffraction.experiments.categories.linked_phases import LinkedPhase
+from easydiffraction.experiments.categories.linked_phases import LinkedPhases
+from easydiffraction.sample_models.categories.atom_sites import AtomSite
+from easydiffraction.sample_models.categories.atom_sites import AtomSites
+from easydiffraction.sample_models.categories.cell import Cell
+from easydiffraction.sample_models.categories.space_group import SpaceGroup
+
+# from easydiffraction.core.parameters import BaseDescriptor, GenericDescriptor, Descriptor
+# from easydiffraction.core.parameters import BaseParameter, GenericParameter, Parameter
+
+# Logger.configure(mode=Logger.Mode.VERBOSE, level=Logger.Level.DEBUG)
+# Logger.configure(mode=Logger.Mode.COMPACT, level=Logger.Level.DEBUG)
+
+
+# bd = BaseDescriptor()
+# gd = GenericDescriptor()
+# d = Descriptor()
+
+# bp = BaseParameter()
+# gp = GenericParameter()
+# p = Parameter()
+
+project = ed.Project()
+
+
+sg = SpaceGroup()
+sg.name_h_m = 'P n m a'
+sg.name_h_m = 33.3
+
+sg.it_coordinate_system_code = 'cab'
+
+cell = Cell()
+cell.length_a = 5.4603
+cell.length_a = '5.4603'
+cell.length_a = -5.4603
+
+cell.lengtha = -5.4603
+
+
+exit()
+
+site = AtomSite()
+site.label = 'Si'
+site.type_symbol = 'Si'
+
+sites = AtomSites()
+sites.add_from_args(site)
+
+
+model = SampleModel(name='mdl')
+model.space_group = sg
+model.cell = cell
+model.atom_sites = sites
+
+site = AtomSite()
+site.label = 'Tb'
+site.type_symbol = 'Tb'
+sites.add_from_args(site)
+
+
+# model.cell = 'k'
+
+
+# print(model.parameters)
+for p in model.parameters:
+    print(p)
+
+# exit()
+
+print('================================')
+
+models = SampleModels()
+# models.add_from_args(model)
+models.add_from_cif_path('tutorials/data/lbco.cif')
+
+print(models)
+for p in models.parameters:
+    print(p)
+print(models.as_cif)
+
+exp = Experiment(name='hrpt', data_path='tutorials/data/hrpt_lbco.xye')
+print(exp)
+
+linked_phases = LinkedPhases()
+linked_phase = LinkedPhase(id='lbco', scale=10.0)
+linked_phases.add_from_args(linked_phase)
+
+exp.linked_phases = linked_phases
+
+exp.instrument.setup_wavelength = 1.494
+exp.instrument.calib_twotheta_offset = 0.6
+
+exp.peak.broad_gauss_u = 0.1
+exp.peak.broad_gauss_v = -0.1
+exp.peak.broad_gauss_w = 0.1
+exp.peak.broad_lorentz_y = 0.1
+
+bkg = LineSegmentBackground()
+point1 = Point(x=10, y=170)
+point2 = Point(x=30, y=170)
+point3 = Point(x=50, y=170)
+point4 = Point(x=110, y=170)
+point5 = Point(x=165, y=170)
+bkg.add_from_args(point1)
+bkg.add_from_args(point2)
+bkg.add_from_args(point3)
+bkg.add_from_args(point4)
+bkg.add_from_args(point5)
+# exp.background.add_from_args(bkg)
+exp.background = bkg
+
+# exp.background.add_from_args(x=10, y=170)
+# exp.background.add_from_args(x=30, y=170)
+# exp.background.add_from_args(x=50, y=170)
+# exp.background.add_from_args(x=110, y=170)
+# exp.background.add_from_args(x=165, y=170)
+
+experiments = Experiments()
+print(experiments)
+
+experiments.add(exp)
+print(experiments)
+for p in experiments.parameters:
+    print(p)
+# print(experiments.as_cif)
+# exit()
+
+proj = Project(name='PROJ')
+print(proj)
+
+proj.sample_models = models
+proj.experiments = experiments
+
+
+proj.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41)
+
+
+def set_as_online():
+    m = proj.sample_models['lbco']
+    m.cell.length_a = 3.8909
+    m.cell.length_b = 3.8909
+    m.cell.length_c = 3.8909
+    m.atom_sites['La'].b_iso = 0.5052
+    m.atom_sites['Ba'].b_iso = 0.5049
+    m.atom_sites['Co'].b_iso = 0.2370
+    m.atom_sites['O'].b_iso = 1.3935
+    e = proj.experiments['hrpt']
+    e.linked_phases['lbco'].scale = 9.1351
+    e.instrument.calib_twotheta_offset = 0.6226
+    e.peak.broad_gauss_u = 0.0816
+    e.peak.broad_gauss_v = -0.1159
+    e.peak.broad_gauss_w = 0.1204
+    e.peak.broad_lorentz_y = 0.0844
+    e.background[10].y = 168.5585
+    e.background[30].y = 164.3357
+    e.background[50].y = 166.8881
+    e.background[110].y = 175.4006
+    e.background[165].y = 174.2813
+
+
+def set_as_initial():
+    m = proj.sample_models['lbco']
+    m.cell.length_a.uncertainty = None
+    m.cell.length_a = 3.885
+    m.cell.length_b = 3.885
+    m.cell.length_c = 3.885
+    # m.atom_sites['La'].b_iso = 0.5052
+    # m.atom_sites['Ba'].b_iso = 0.5049
+    # m.atom_sites['Co'].b_iso = 0.2370
+    # m.atom_sites['O'].b_iso = 1.3935
+    # e = proj.experiments['hrpt']
+    # e.linked_phases['lbco'].scale = 9.1351
+    # e.instrument.calib_twotheta_offset = 0.6226
+    # e.peak.broad_gauss_u = 0.0816
+    # e.peak.broad_gauss_v = -0.1159
+    # e.peak.broad_gauss_w = 0.1204
+    # e.peak.broad_lorentz_y = 0.0844
+    # e.background[10].y = 168.5585
+    # e.background[30].y = 164.3357
+    # e.background[50].y = 166.8881
+    # e.background[110].y = 175.4006
+    # e.background[165].y = 174.2813
+
+
+set_as_online()
+# set_as_initial()
+proj.plotter.engine = 'plotly'
+proj.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+# exit()
+
+models['lbco'].cell.length_a.free = True
+
+models['lbco'].atom_sites['La'].b_iso.free = True
+models['lbco'].atom_sites['Ba'].b_iso.free = True
+models['lbco'].atom_sites['Co'].b_iso.free = True
+models['lbco'].atom_sites['O'].b_iso.free = True
+
+exp.instrument.calib_twotheta_offset.free = True
+
+exp.peak.broad_gauss_u.free = True
+exp.peak.broad_gauss_v.free = True
+exp.peak.broad_gauss_w.free = True
+exp.peak.broad_lorentz_y.free = True
+
+exp.background[10].y.free = True
+exp.background[30].y.free = True
+exp.background[50].y.free = True
+exp.background[110].y.free = True
+exp.background[165].y.free = True
+
+exp.linked_phases['lbco'].scale.free = True
+
+
+print('----', models['lbco'].cell.length_a.free)
+proj.analysis.show_free_params()
+proj.analysis.fit()
+
+# proj.plotter.engine = 'plotly'
+# proj.plot_meas_vs_calc(expt_name='hrpt')
+proj.plot_meas_vs_calc(expt_name='hrpt', x_min=38, x_max=41)
diff --git a/tutorials/quick_single-fit_pd-neut-cwl_LBCO-HRPT.py b/tmp/short3.py
similarity index 70%
rename from tutorials/quick_single-fit_pd-neut-cwl_LBCO-HRPT.py
rename to tmp/short3.py
index 019f1c40..a261a944 100644
--- a/tutorials/quick_single-fit_pd-neut-cwl_LBCO-HRPT.py
+++ b/tmp/short3.py
@@ -28,11 +28,14 @@
 # %%
 project = ed.Project()
 
+project.plotter.x_min = 38
+project.plotter.x_max = 41
+
 # %% [markdown]
 # ## Step 2: Define Sample Model
 
 # %%
-project.sample_models.add(name='lbco')
+project.sample_models.add_minimal(name='lbco')
 
 # %%
 sample_model = project.sample_models['lbco']
@@ -45,10 +48,15 @@
 sample_model.cell.length_a = 3.88
 
 # %%
-sample_model.atom_sites.add('La', 'La', 0, 0, 0, b_iso=0.5, occupancy=0.5)
-sample_model.atom_sites.add('Ba', 'Ba', 0, 0, 0, b_iso=0.5, occupancy=0.5)
-sample_model.atom_sites.add('Co', 'Co', 0.5, 0.5, 0.5, b_iso=0.5)
-sample_model.atom_sites.add('O', 'O', 0, 0.5, 0.5, b_iso=0.5)
+sample_model.atom_sites.add_from_args(
+    label='La', type_symbol='La', fract_x=0., fract_y=0., fract_z=0, b_iso=0.5, occupancy=0.5,
+    wyckoff_letter='a'
+)
+sample_model.atom_sites.add_from_args(
+    label='Ba', type_symbol='Ba', fract_x=0, fract_y=0, fract_z=0, b_iso=0.5, occupancy=0.5, wyckoff_letter='a'
+)
+sample_model.atom_sites.add_from_args(label='Co', type_symbol='Co', fract_x=0.5, fract_y=0.5, fract_z=0.5, b_iso=0.5, wyckoff_letter='b')
+sample_model.atom_sites.add_from_args(label='O', type_symbol='O', fract_x=0, fract_y=0.5, fract_z=0.5, b_iso=0.5, wyckoff_letter='c')
 
 # %% [markdown]
 # ## Step 3: Define Experiment
@@ -79,18 +87,17 @@
 experiment.peak.broad_lorentz_y = 0.1
 
 # %%
-experiment.background.add(x=10, y=170)
-experiment.background.add(x=30, y=170)
-experiment.background.add(x=50, y=170)
-experiment.background.add(x=110, y=170)
-experiment.background.add(x=165, y=170)
+experiment.background.add_from_args(x=10, y=170)
+experiment.background.add_from_args(x=30, y=170)
+experiment.background.add_from_args(x=50, y=170)
+experiment.background.add_from_args(x=110, y=170)
 
 # %%
-experiment.excluded_regions.add(start=0, end=5)
-experiment.excluded_regions.add(start=165, end=180)
+experiment.excluded_regions.add_from_args(start=0, end=5)
+experiment.excluded_regions.add_from_args(start=130, end=180)
 
 # %%
-experiment.linked_phases.add(id='lbco', scale=10.0)
+experiment.linked_phases.add_from_args(id='lbco', scale=10.0)
 
 # %% [markdown]
 # ## Step 4: Perform Analysis
@@ -115,10 +122,15 @@
 experiment.background['30'].y.free = True
 experiment.background['50'].y.free = True
 experiment.background['110'].y.free = True
-experiment.background['165'].y.free = True
 
 experiment.linked_phases['lbco'].scale.free = True
 
+
+# sample_model.show_as_cif()
+# experiment.show_as_cif()
+# exit()
+
+
 # %%
 project.analysis.fit()
 
diff --git a/tmp/short5.py b/tmp/short5.py
new file mode 100644
index 00000000..843b252d
--- /dev/null
+++ b/tmp/short5.py
@@ -0,0 +1,316 @@
+from __future__ import annotations
+
+from typing import ParamSpec
+from typing import TypeVar
+
+from easydiffraction.analysis.categories.constraints import Constraint
+from easydiffraction.analysis.categories.constraints import Constraints
+from easydiffraction.sample_models.categories.atom_sites import AtomSite  # type: ignore
+from easydiffraction.sample_models.categories.atom_sites import AtomSites  # type: ignore
+from easydiffraction.sample_models.categories.cell import Cell  # type: ignore
+from easydiffraction.sample_models.categories.space_group import SpaceGroup  # type: ignore
+from easydiffraction.sample_models.sample_model.base import SampleModelBase
+from easydiffraction.sample_models.sample_model.factory import SampleModel
+from easydiffraction.sample_models.sample_models import SampleModels
+from easydiffraction.utils.logging import log  # type: ignore
+
+P = ParamSpec('P')
+R = TypeVar('R')
+
+
+# ---------------------------------------------------------------------
+# Example usage
+# ---------------------------------------------------------------------
+if __name__ == '__main__':
+
+    log.info('-------- Types --------')
+
+    s1 = AtomSite(label='La', type_symbol='La')
+    s1.fract_x.value = 1.234
+    assert s1.fract_x.value == 1.234
+    s1.fract_x.value = 'xyz'
+    assert s1.fract_x.value == 1.234
+    s1.fract_x = 'qwe'
+    assert s1.fract_x.value == 1.234
+
+    assert s1.fract_x.free == False
+    s1.fract_x.free = True
+    assert s1.fract_x.free == True
+    s1.fract_x.free = 'abc'
+    assert s1.fract_x.free == True
+
+    s1 = AtomSite(label='Si', type_symbol='Si', fract_x='uuuu')
+    assert s1.fract_x.value == 0.0
+
+    log.info('-------- Cell --------')
+
+    c = Cell()
+    assert c.length_b.value == 10.0
+    c = Cell(length_b=-8.8)
+    assert c.length_b.value == 10.0
+    c = Cell(length_b='7.7')  # type: ignore
+    assert c.length_b.value == 10.0
+    c = Cell(length_b=6.6)
+    assert c.length_b.value == 6.6
+    c.length_b.value = -5.5
+    assert c.length_b.value == 6.6
+    c.length_b = -4.4
+    assert c.length_b.value == 6.6
+    c.length_b = 3.3
+    assert c.length_b.value == 3.3
+    c.length_b = 2222.2
+    assert c.length_b.value == 3.3
+    c.length_b.free = 'qwe'  # type: ignore
+    assert c.length_b.free is False
+    c.length_b.fre = 'fre'  # type: ignore
+    assert getattr(c.length_b, 'fre', None) is None
+    c.length_b.qwe = 'qwe'  # type: ignore
+    assert getattr(c.length_b, 'qwe', None) is None
+    c.length_b.description = 'desc'  # type: ignore
+    assert c.length_b.description == 'Length of the b axis of the unit cell.'  # type: ignore
+    assert c.length_b._public_readonly_attrs() == {'as_cif', 'constrained',
+                                                   'description',
+                                                   'unique_name', 'name', 'parameters',
+                                                   'uid', 'units'}
+    assert c.length_b._public_writable_attrs() == {'fit_max', 'fit_min', 'free', 'uncertainty',
+                                                   'value'}
+    c.qwe = 'qwe'
+    assert getattr(c.length_b, 'qwe', None) is None
+    assert c.length_b._cif_handler.names == ['_cell.length_b']
+    assert len(c.length_b._minimizer_uid) == 16
+    assert (c.parameters[1].value == 3.3)  # type: ignore
+
+    log.info('-------- SpaceGroup --------')
+
+    sg = SpaceGroup()
+    assert sg.name_h_m.value == 'P 1'
+    sg = SpaceGroup(name_h_m='qwe')
+    assert sg.name_h_m.value == 'P 1'
+    sg = SpaceGroup(name_h_m='P b n m', it_coordinate_system_code='cab')
+    assert sg.name_h_m.value == 'P 1'
+    assert sg.it_coordinate_system_code.value == ''
+    sg = SpaceGroup(name_h_m='P n m a', it_coordinate_system_code='cab')
+    assert sg.name_h_m.value == 'P n m a'
+    assert sg.it_coordinate_system_code.value == 'cab'
+    sg.name_h_m = 34.9
+    assert sg.name_h_m.value == 'P n m a'
+    sg.name_h_m = 'P 1'
+    assert sg.name_h_m.value == 'P 1'
+    assert sg.it_coordinate_system_code.value == ''
+    sg.name_h_m = 'P n m a'
+    assert sg.name_h_m.value == 'P n m a'
+    assert sg.it_coordinate_system_code.value == 'abc'
+
+    log.info('-------- AtomSites --------')
+
+    s1 = AtomSite(label='La', type_symbol='La')
+    assert s1.label.value == 'La'
+    assert s1.type_symbol.value == 'La'
+    s2 = AtomSite(label='Si', type_symbol='Si')
+    assert s2.label.value == 'Si'
+    assert s2.type_symbol.value == 'Si'
+    sites = AtomSites()
+    assert len(sites) == 0
+    sites.add(s1)
+    sites.add(s2)
+    assert len(sites) == 2
+    s1.label = 'Tb'
+    assert s1.label.value == 'Tb'
+    assert list(sites.keys()) == ['Tb', 'Si']
+    assert sites['Tb'] is s1
+    assert sites['Tb'].fract_x.value == 0.0
+    s2.fract_x.value = 0.123
+    assert s2.fract_x.value == 0.123
+    s2.fract_x = 0.456
+    assert s2.fract_x.value == 0.456
+    sites['Tb'].fract_x = 0.789
+    assert sites['Tb'].fract_x.value == 0.789
+    sites['Tb'].qwe = 'qwe'  # type: ignore
+    assert getattr(sites['Tb'], 'qwe', None) is None
+    sites.abc = 'abc'  # type: ignore
+    assert getattr(sites, 'abc', None) is None
+    sites['Tb'].label = 'a b c'
+    assert sites['Tb'].label.value == 'Tb'
+
+    assert sites['Tb']._label.value == 'Tb'
+    assert sites['Tb'].label.value == 'Tb'
+    assert sites['Tb'].name is None
+
+    log.info('-------- SampleModel --------')
+
+    model = SampleModel(name='lbco')
+    assert model.name == 'lbco'
+    assert model.cell.length_b.value == 10.0
+    assert len(model.atom_sites) == 0
+    model.atom_sites.add(s1)
+    model.atom_sites.add(s2)
+    assert len(model.atom_sites) == 2
+    assert model.atom_sites.names == ['Tb', 'Si']
+    assert model.atom_sites._items[0].label.value == 'Tb'
+    assert model.atom_sites._items[1].label.value == 'Si'
+
+    log.info('-------- SampleModels --------')
+
+    models = SampleModels()
+    assert len(models) == 0
+    models.add(model)
+    assert len(models) == 1
+    assert models._items[0].name == 'lbco'
+
+    log.info('-------- PARENTS --------')
+
+    assert models._parent is None
+    assert type(models['lbco']._parent) is SampleModels
+    assert type(models['lbco'].cell._parent) is SampleModelBase
+    assert type(models['lbco'].cell.length_b._parent) is Cell
+    assert type(models['lbco'].atom_sites._parent) is SampleModelBase
+    assert type(models['lbco'].atom_sites['Tb']._parent) is AtomSites
+    assert type(models['lbco'].atom_sites['Tb'].fract_x._parent) is AtomSite
+
+    assert type(s1._parent) is AtomSites
+    assert type(models['lbco'].atom_sites) is AtomSites
+    assert len(models['lbco'].atom_sites) == 2
+    del models['lbco'].atom_sites['Tb']
+    assert len(models['lbco'].atom_sites) == 1
+    assert s1._parent is None
+    assert type(models['lbco'].atom_sites) is AtomSites
+
+    log.info('-------- PARAMETERS --------')
+
+    assert len(models['lbco'].atom_sites['Si'].parameters) == 9
+    assert models['lbco'].atom_sites['Si'].parameters[0].value == 'Si'
+    assert len(models['lbco'].atom_sites.parameters) == 9
+    assert len(models['lbco'].cell.parameters) == 6
+    assert len(models['lbco'].parameters) == 17
+    assert len(models.parameters) == 17
+
+    log.info('-------- CIF HANDLERS --------')
+
+    s3 = AtomSite(label='La', type_symbol='La')
+    assert s3.label.value == 'La'
+    assert s3.type_symbol.value == 'La'
+
+    assert len(models['lbco'].atom_sites) == 1
+    models['lbco'].atom_sites.add(s3)
+    assert len(models['lbco'].atom_sites) == 2
+    assert models['lbco'].cell.length_b.as_cif == '_cell.length_b 10.0'
+    assert models['lbco'].cell.as_cif == """_cell.length_a 10.0
+_cell.length_b 10.0
+_cell.length_c 10.0
+_cell.angle_alpha 90.0
+_cell.angle_beta 90.0
+_cell.angle_gamma 90.0"""
+
+    assert models['lbco'].atom_sites.as_cif == """loop_
+_atom_site.label
+_atom_site.type_symbol
+_atom_site.fract_x
+_atom_site.fract_y
+_atom_site.fract_z
+_atom_site.Wyckoff_letter
+_atom_site.occupancy
+_atom_site.B_iso_or_equiv
+_atom_site.adp_type
+Si Si 0.456 0.0 0.0 a 1.0 0.0 Biso
+La La 0.0 0.0 0.0 a 1.0 0.0 Biso"""
+
+    print(models['lbco'].as_cif)
+
+    assert models['lbco'].as_cif == """data_lbco
+
+_cell.length_a 10.0
+_cell.length_b 10.0
+_cell.length_c 10.0
+_cell.angle_alpha 90.0
+_cell.angle_beta 90.0
+_cell.angle_gamma 90.0
+
+_space_group.name_H-M_alt "P 1"
+_space_group.IT_coordinate_system_code 
+
+loop_
+_atom_site.label
+_atom_site.type_symbol
+_atom_site.fract_x
+_atom_site.fract_y
+_atom_site.fract_z
+_atom_site.Wyckoff_letter
+_atom_site.occupancy
+_atom_site.B_iso_or_equiv
+_atom_site.adp_type
+Si Si 0.456 0.0 0.0 a 1.0 0.0 Biso
+La La 0.0 0.0 0.0 a 1.0 0.0 Biso"""
+
+    assert models.as_cif == """data_lbco
+
+_cell.length_a 10.0
+_cell.length_b 10.0
+_cell.length_c 10.0
+_cell.angle_alpha 90.0
+_cell.angle_beta 90.0
+_cell.angle_gamma 90.0
+
+_space_group.name_H-M_alt "P 1"
+_space_group.IT_coordinate_system_code 
+
+loop_
+_atom_site.label
+_atom_site.type_symbol
+_atom_site.fract_x
+_atom_site.fract_y
+_atom_site.fract_z
+_atom_site.Wyckoff_letter
+_atom_site.occupancy
+_atom_site.B_iso_or_equiv
+_atom_site.adp_type
+Si Si 0.456 0.0 0.0 a 1.0 0.0 Biso
+La La 0.0 0.0 0.0 a 1.0 0.0 Biso"""
+
+    log.info('-------- Full Names --------')
+
+    cell = Cell()
+    assert cell.unique_name == 'cell'
+
+    assert cell.length_b.unique_name == 'cell.length_b'
+
+    site = AtomSite(label='Tb', type_symbol='Tb')
+    assert site.unique_name == 'atom_site.Tb'
+
+    sites = AtomSites()  #
+    assert sites.unique_name is None
+
+    sites.add(site)
+    assert site.unique_name == 'atom_site.Tb'
+    assert sites['Tb'].unique_name == 'atom_site.Tb'
+
+    model = SampleModel(name='lbco')  #
+    assert model.unique_name == 'lbco'
+
+    model.cell = cell
+    assert cell.unique_name == 'lbco.cell'
+    assert cell.length_b.unique_name == 'lbco.cell.length_b'
+    assert model.cell.unique_name == 'lbco.cell'
+    assert model.cell.length_b.unique_name == 'lbco.cell.length_b'
+
+    model.atom_sites = sites
+    assert sites.unique_name is None
+    assert model.atom_sites.unique_name is None
+    assert model.atom_sites['Tb'].unique_name == 'lbco.atom_site.Tb'
+
+    models = SampleModels()  #
+    assert models.unique_name is None
+
+    models.add(model)
+    assert models['lbco'].cell.unique_name == 'lbco.cell'
+    assert models['lbco'].cell.length_b.unique_name == 'lbco.cell.length_b'
+    assert models['lbco'].atom_sites.unique_name is None
+    assert models['lbco'].atom_sites['Tb'].unique_name == 'lbco.atom_site.Tb'
+
+    log.info('-------- Constraints --------')
+    con = Constraint(lhs_alias='cell.length_a', rhs_expr='2 * cell.length_b + 1.0')
+    assert con.lhs_alias.value == 'cell.length_a'
+    assert con.rhs_expr.value == '2 * cell.length_b + 1.0'
+    cons = Constraints()
+    assert len(cons) == 0
+    cons.add(con)
+    assert len(cons) == 1
diff --git a/tmp/short6.py b/tmp/short6.py
new file mode 100644
index 00000000..ef027c51
--- /dev/null
+++ b/tmp/short6.py
@@ -0,0 +1,85 @@
+from easydiffraction.core.category import CategoryItem
+from easydiffraction.core.parameters import CifHandler
+from easydiffraction.core.parameters import Parameter
+from easydiffraction.core.validation import AttributeSpec
+from easydiffraction.core.validation import RangeValidator
+from easydiffraction.utils.logging import Logger
+from easydiffraction.utils.logging import log
+
+Logger.configure(
+    level=Logger.Level.DEBUG,
+    mode=Logger.Mode.COMPACT,
+    reaction=Logger.Reaction.WARN,
+)
+
+
+class Cell(CategoryItem):
+    def __init__(self, *, length_a=None):
+        super().__init__()
+
+        self._length_a = Parameter(
+            value_spec=AttributeSpec(
+                value=length_a,
+                default=10.0,
+                content_validator=RangeValidator(ge=0, le=1000),
+            ),
+            name='length_a',
+            description='Length of the a-axis of the unit cell.',
+            units='Å',
+            cif_handler=CifHandler(names=['_cell.length_a']),
+        )
+
+    @property
+    def length_a(self) -> Parameter:
+        """Parameter representing the a-axis length of the unit cell."""
+        return self._length_a
+
+    @length_a.setter
+    def length_a(self, v):
+        """Assign a raw value to length_a (validated internally)."""
+        self._length_a.value = v
+
+
+# ---------------------- Example usage ---------------------- #
+
+if __name__ == '__main__':
+    c = Cell()
+
+    c.length_a.value = 1.234
+    log.info(f'c.length_a.value: {c.length_a.value}')
+
+    c.length_a.value = -5.5
+    log.info(f'c.length_a.value: {c.length_a.value}')
+
+    c.length_a.value = 'xyz'
+    log.info(f'c.length_a.value: {c.length_a.value}')
+
+    c.length_a.free = True
+    log.info(f'c.length_a.free: {c.length_a.free}')
+
+    c.length_a.free = 'oops'
+    log.info(f'c.length_a.free: {c.length_a.free}')
+
+    c.length_a = 'xyz'
+    log.info(f'c.length_a.value (after direct assign attempt): {c.length_a.value}')
+
+    c_bad = Cell(length_a='xyz')
+    log.info(f'c_bad.length_a.value: {c_bad.length_a.value}')
+
+    c_ok = Cell(length_a=2.5)
+    log.info(f'c_ok.length_a.value: {c_ok.length_a.value}')
+
+    c_ok.length_a.description = 'read-only'
+    log.info(f'c_ok.length_a.description: {c_ok.length_a.description}')
+
+    c_ok.length_a.aaa = 'aaa'
+    log.info(f'c_ok.length_a.aaa: {c_ok.length_a.aaa}')
+
+    log.info(f'c_ok.length_a.bbb: {c_ok.length_a.bbb}')
+
+    log.info(f'c_ok.length_a.fre: {c_ok.length_a.fre}')
+
+    log.info(c.as_cif)
+    log.info(c.length_a.as_cif)
+
+    log.info(c.length_a._cif_handler.uid)
diff --git a/tmp/short7.py b/tmp/short7.py
new file mode 100644
index 00000000..dfec2cd8
--- /dev/null
+++ b/tmp/short7.py
@@ -0,0 +1,129 @@
+import os
+import tempfile
+
+from numpy.testing import assert_almost_equal
+
+from easydiffraction import Project
+from easydiffraction import download_from_repository
+
+TEMP_DIR = tempfile.gettempdir()
+
+
+def single_fit_neutron_pd_cwl_lbco() -> None:
+    # Create project
+    project = Project()
+
+    # Set sample model
+    project.sample_models.add_minimal(name='lbco')
+    model = project.sample_models['lbco']
+    model.space_group.name_h_m = 'P m -3 m'
+    model.cell.length_a = 3.88
+    model.atom_sites.add_from_args(
+        label='La',
+        type_symbol='La',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        occupancy=0.5,
+        b_iso=0.1,
+    )
+    model.atom_sites.add_from_args(
+        label='Ba',
+        type_symbol='Ba',
+        fract_x=0,
+        fract_y=0,
+        fract_z=0,
+        wyckoff_letter='a',
+        occupancy=0.5,
+        b_iso=0.1,
+    )
+    model.atom_sites.add_from_args(
+        label='Co',
+        type_symbol='Co',
+        fract_x=0.5,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=0.1,
+    )
+    model.atom_sites.add_from_args(
+        label='O',
+        type_symbol='O',
+        fract_x=0,
+        fract_y=0.5,
+        fract_z=0.5,
+        wyckoff_letter='c',
+        b_iso=0.1,
+    )
+
+    # Set experiment
+    data_file = 'hrpt_lbco.xye'
+    download_from_repository(data_file, destination=TEMP_DIR)
+    project.experiments.add_from_data_path(name='hrpt', data_path=os.path.join(TEMP_DIR, data_file))
+    expt = project.experiments['hrpt']
+    expt.instrument.setup_wavelength = 1.494
+    expt.instrument.calib_twotheta_offset = 0
+    expt.peak.broad_gauss_u = 0.1
+    expt.peak.broad_gauss_v = -0.1
+    expt.peak.broad_gauss_w = 0.2
+    expt.peak.broad_lorentz_x = 0
+    expt.peak.broad_lorentz_y = 0
+    expt.linked_phases.add_from_args(id='lbco', scale=5.0)
+    expt.background.add_from_args(x=10, y=170)
+    expt.background.add_from_args(x=165, y=170)
+
+    expt.show_as_cif()
+
+    # Prepare for fitting
+    project.analysis.current_calculator = 'cryspy'
+    project.analysis.current_minimizer = 'lmfit (leastsq)'
+
+    # ------------ 1st fitting ------------
+
+    # Select fitting parameters
+    model.cell.length_a.free = True
+    expt.linked_phases['lbco'].scale.free = True
+    expt.instrument.calib_twotheta_offset.free = True
+    expt.background['10'].y.free = True
+    expt.background['165'].y.free = True
+
+    # Perform fit
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=5.79, decimal=1)
+
+    # ------------ 2nd fitting ------------
+
+    # Select fitting parameters
+    expt.peak.broad_gauss_u.free = True
+    expt.peak.broad_gauss_v.free = True
+    expt.peak.broad_gauss_w.free = True
+    expt.peak.broad_lorentz_y.free = True
+
+    # Perform fit
+    project.analysis.fit()
+
+    # Compare fit quality
+    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=4.41, decimal=1)
+
+    # ------------ 3rd fitting ------------
+
+    # Select fitting parameters
+    model.atom_sites['La'].b_iso.free = True
+    model.atom_sites['Ba'].b_iso.free = True
+    model.atom_sites['Co'].b_iso.free = True
+    model.atom_sites['O'].b_iso.free = True
+
+    # Perform fit
+    project.analysis.fit()
+
+    # Show chart
+    project.plot_meas_vs_calc(expt_name='hrpt')
+
+    # Compare fit quality
+    assert_almost_equal(project.analysis.fit_results.reduced_chi_square, desired=1.3, decimal=1)
+
+
+single_fit_neutron_pd_cwl_lbco()
diff --git a/tutorials-drafts/test_single-fit_pd-neut-tof_Si-DREAM_nc.py b/tmp/test_single-fit_pd-neut-tof_Si-DREAM_nc.py
similarity index 59%
rename from tutorials-drafts/test_single-fit_pd-neut-tof_Si-DREAM_nc.py
rename to tmp/test_single-fit_pd-neut-tof_Si-DREAM_nc.py
index 84090290..aa5bfee5 100644
--- a/tutorials-drafts/test_single-fit_pd-neut-tof_Si-DREAM_nc.py
+++ b/tmp/test_single-fit_pd-neut-tof_Si-DREAM_nc.py
@@ -2,6 +2,9 @@
 # # Structure Refinement: Si (NCrystal sim), DREAM
 
 # %%
+
+import pytest
+
 import easydiffraction as ed
 
 # %% [markdown]
@@ -17,7 +20,7 @@
 # ## Step 2: Sample Model
 
 # %%
-project.sample_models.add(name='si')
+project.sample_models.add_minimal(name='si')
 sample_model = project.sample_models['si']
 
 # %%
@@ -25,51 +28,64 @@
 sample_model.space_group.it_coordinate_system_code = '1'
 
 # %%
-sample_model.cell.length_a = 5.46872800 # 5.43146
+sample_model.cell.length_a = 5.46872800  # 5.43146
 
 # %%
-sample_model.atom_sites.add(label='Si',
-                            type_symbol='Si',
-                            fract_x=0.,
-                            fract_y=0.,
-                            fract_z=0.5,
-                            wyckoff_letter='b',
-                            b_iso=0.5)
+import pathlib
+
+from easydiffraction.sample_models.categories.atom_sites import AtomSite
+
+sample_model.atom_sites.add(
+    AtomSite(
+        label='Si',
+        type_symbol='Si',
+        fract_x=0.0,
+        fract_y=0.0,
+        fract_z=0.5,
+        wyckoff_letter='b',
+        b_iso=0.5,
+    )
+)
 
 # %% [markdown]
 # ## Step 3: Experiment
 
 # %%
-#ed.download_from_repository('NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr',
+# ed.download_from_repository('NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr',
 #                            branch='d-spacing',
 #                            destination='data')
 
 # %%
-project.experiments.add(name='dream',
-                        sample_form='powder',
-                        beam_mode='time-of-flight',
-                        radiation_probe='neutron',
-                        scattering_type='bragg',
-                        data_path='tutorials/data/DREAM_mantle_bc240_nist_cif_2.xye')
-                        #data_path='tutorials/data/DREAM_mantle_bc240_nist_nc_2.xye')
+data_path = 'tutorials/data/DREAM_mantle_bc240_nist_cif_2.xye'
+if not pathlib.Path(data_path).exists():  # pragma: no cover - environment dependent
+    pytest.skip(f'Missing data file: {data_path}', allow_module_level=True)
+project.experiments.add_from_data_path(
+    name='dream',
+    sample_form='powder',
+    beam_mode='time-of-flight',
+    radiation_probe='neutron',
+    scattering_type='bragg',
+    data_path=data_path,
+)
+# data_path='tutorials/data/DREAM_mantle_bc240_nist_nc_2.xye')
 experiment = project.experiments['dream']
 
 # %%
-experiment.instrument.setup_twotheta_bank = 90.20761742567521 # 144.845 # 90.20761742567521
+experiment.instrument.setup_twotheta_bank = 90.20761742567521  # 144.845 # 90.20761742567521
 experiment.instrument.calib_d_to_tof_offset = 0.0
-experiment.instrument.calib_d_to_tof_linear = 27896.388403762866 # 7476.91 # 278963884037.62866
+experiment.instrument.calib_d_to_tof_linear = 27896.388403762866  # 7476.91 # 278963884037.62866
 experiment.instrument.calib_d_to_tof_linear = 26935.57560870018
-experiment.instrument.calib_d_to_tof_quad = -0.00001 # -1.54 # -1.0
+experiment.instrument.calib_d_to_tof_quad = -0.00001  # -1.54 # -1.0
 
 # %%
 experiment.peak_profile_type = 'pseudo-voigt * ikeda-carpenter'
 experiment.peak.broad_gauss_sigma_0 = 3.0
 experiment.peak.broad_gauss_sigma_1 = 40.0
 experiment.peak.broad_gauss_sigma_2 = 0.0
-experiment.peak.broad_mix_beta_0 = 0.024 # 0.04221
-experiment.peak.broad_mix_beta_1 = 0 # 0.00946
+experiment.peak.broad_mix_beta_0 = 0.024  # 0.04221
+experiment.peak.broad_mix_beta_1 = 0  # 0.00946
 experiment.peak.asym_alpha_0 = 0.14
-experiment.peak.asym_alpha_1 = 0.0 # 0.5971
+experiment.peak.asym_alpha_1 = 0.0  # 0.5971
 
 # %%
 experiment.background_type = 'line-segment'
@@ -77,30 +93,30 @@
     experiment.background.add(x=x, y=0.2)
 
 # %%
-experiment.linked_phases.add('si', scale=1)
+from easydiffraction.experiments.categories.linked_phases import LinkedPhase
+
+experiment.linked_phases.add(LinkedPhase(id='si', scale=1))
 
 # %% [markdown]
 # ## Step 4: Analysis
 
 # %%
-project.plot_meas_vs_calc(expt_name='dream',
-                          show_residual=True)
-#exit()
+project.plot_meas_vs_calc(expt_name='dream', show_residual=True)
+# exit()
 
 # %%
-#sample_model.cell.length_a.free = True
+# sample_model.cell.length_a.free = True
 
 experiment.linked_phases['si'].scale.free = True
-#experiment.instrument.calib_d_to_tof_offset.free = True
+# experiment.instrument.calib_d_to_tof_offset.free = True
 
 experiment.peak.broad_gauss_sigma_0.free = True
 experiment.peak.broad_gauss_sigma_1.free = True
-#experiment.peak.broad_gauss_sigma_2.free = True
+# experiment.peak.broad_gauss_sigma_2.free = True
 experiment.peak.broad_mix_beta_0.free = True
-#experiment.peak.broad_mix_beta_1.free = True
+# experiment.peak.broad_mix_beta_1.free = True
 experiment.peak.asym_alpha_0.free = True
-#experiment.peak.asym_alpha_1.free = True
-
+# experiment.peak.asym_alpha_1.free = True
 
 
 project.analysis.fit()
@@ -109,7 +125,6 @@
 exit()
 
 
-
 project.sample_models['lbco'].atom_sites['La'].b_iso.free = True
 project.sample_models['lbco'].atom_sites['Ba'].b_iso.free = True
 project.sample_models['lbco'].atom_sites['Co'].b_iso.free = True
diff --git a/tools/gen_tests_scaffold.py b/tools/gen_tests_scaffold.py
new file mode 100644
index 00000000..336bebb9
--- /dev/null
+++ b/tools/gen_tests_scaffold.py
@@ -0,0 +1,107 @@
+# SPDX-FileCopyrightText: 2025 EasyDiffraction contributors
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Generate a one-to-one unit test scaffold mirroring src/ folder
+structure.
+- Creates tests/unit/<package path>/test_<module>.py for each Python
+    file in src
+- Inserts a minimal, consistent pytest skeleton with TODO markers.
+
+Usage:
+  pixi run python tools/gen_tests_scaffold.py
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+SRC = ROOT / 'src'
+TESTS_ROOT = ROOT / 'tests' / 'unit'
+
+IGNORED_DIRS = {'__pycache__'}
+IGNORED_FILES = {'__init__.py'}
+
+HEADER = """# Auto-generated scaffold. Replace TODOs with concrete tests.
+import pytest
+import numpy as np
+
+# expected vs actual helpers
+
+def _assert_equal(expected, actual):
+    assert expected == actual
+
+"""
+
+TEMPLATE = """
+# Module under test: {module_import}
+
+# TODO: Replace with real, small tests per class/method.
+# Keep names explicit: expected_*, actual_*; compare in a single assert.
+
+def test_module_import():
+    import {module_import} as MUT
+    expected_module_name = "{module_import}"
+    actual_module_name = MUT.__name__
+    _assert_equal(expected_module_name, actual_module_name)
+"""
+
+
+def module_import_from_path(py_path: Path) -> str:
+    rel = py_path.relative_to(SRC)
+    parts = list(rel.parts)
+    parts[-1] = parts[-1].removesuffix('.py')
+    # Build import path directly from src-relative parts; do not prefix
+    # with the top-level package name to avoid duplication when the
+    # first part is already the package (e.g., 'easydiffraction').
+    return '.'.join(parts)
+
+
+def ensure_file(path: Path, content: str) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    # Always (re)write to keep scaffold in sync when the generator
+    # evolves
+    path.write_text(content)
+
+
+def ensure_package_dirs(dir_path: Path) -> None:
+    """Ensure every directory from TESTS_ROOT to dir_path has an
+    __init__.py.
+
+    This makes each folder a package so pytest assigns unique module
+    names and avoids import file mismatch when multiple files share the
+    same basename (e.g., test_base.py) across different subdirectories.
+    """
+    # Walk from TESTS_ROOT down to dir_path, creating __init__.py at
+    # each level
+    dir_path.mkdir(parents=True, exist_ok=True)
+    current = TESTS_ROOT
+    # If dir_path is the same as TESTS_ROOT, the loop will be skipped,
+    # but we still want to ensure __init__.py at TESTS_ROOT
+    for part in dir_path.relative_to(TESTS_ROOT).parts:
+        (current / '__init__.py').touch(exist_ok=True)
+        current = current / part
+    # Ensure the final directory also has __init__.py
+    (current / '__init__.py').touch(exist_ok=True)
+
+
+def main():
+    for py in SRC.rglob('*.py'):
+        if py.name in IGNORED_FILES:
+            continue
+        if any(p in IGNORED_DIRS for p in py.parts):
+            continue
+        module_import = module_import_from_path(py)
+        rel_dir = py.parent.relative_to(SRC)
+        test_dir = TESTS_ROOT / rel_dir
+        # Ensure package __init__.py files exist to avoid name
+        # collisions
+        ensure_package_dirs(test_dir)
+        test_file = test_dir / f'test_{py.stem}.py'
+        content = HEADER + TEMPLATE.format(module_import=module_import)
+        ensure_file(test_file, content)
+    print(f'Scaffold created/updated under: {TESTS_ROOT}')
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tools/generate_package_docs.py b/tools/generate_package_docs.py
new file mode 100644
index 00000000..671a4f0e
--- /dev/null
+++ b/tools/generate_package_docs.py
@@ -0,0 +1,172 @@
+# SPDX-FileCopyrightText: 2021-2025 EasyDiffraction contributors <https://github.com/easyscience/diffraction>
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Generate project package structure markdown files.
+
+Outputs two docs under docs/architecture/:
+ - package-structure-short.md  (folders/files only)
+ - package-structure-full.md   (folders/files and classes)
+
+Run (from repo root):
+    pixi run python tools/generate_package_docs.py
+"""
+
+from __future__ import annotations
+
+import ast
+from dataclasses import dataclass
+from dataclasses import field
+from pathlib import Path
+from typing import List
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+SRC_ROOT = REPO_ROOT / 'src' / 'easydiffraction'
+DOCS_OUT_DIR = REPO_ROOT / 'docs' / 'architecture'
+
+
+IGNORE_DIRS = {
+    '__pycache__',
+    '.pytest_cache',
+    '.mypy_cache',
+    '.ruff_cache',
+    '.ipynb_checkpoints',
+}
+
+
+@dataclass
+class Node:
+    name: str
+    path: Path
+    type: str  # 'dir' | 'file'
+    children: List['Node'] = field(default_factory=list)
+    classes: List[str] = field(default_factory=list)
+
+
+def parse_classes(py_path: Path) -> List[str]:
+    try:
+        src = py_path.read_text(encoding='utf-8')
+    except Exception:
+        return []
+    try:
+        tree = ast.parse(src)
+    except Exception:
+        return []
+    classes: List[str] = []
+    for node in tree.body:
+        if isinstance(node, ast.ClassDef):
+            classes.append(node.name)
+    return classes
+
+
+def build_tree(root: Path) -> Node:
+    def _walk(p: Path) -> Node:
+        if p.is_dir():
+            node = Node(name=p.name, path=p, type='dir')
+            try:
+                entries = sorted(p.iterdir(), key=lambda q: (q.is_file(), q.name.lower()))
+            except PermissionError:
+                entries = []
+            for child in entries:
+                if child.name in IGNORE_DIRS:
+                    continue
+                if child.is_dir():
+                    node.children.append(_walk(child))
+                elif child.suffix == '.py':
+                    file_node = Node(name=child.name, path=child, type='file')
+                    file_node.classes = parse_classes(child)
+                    node.children.append(file_node)
+            return node
+        else:
+            n = Node(name=p.name, path=p, type='file')
+            n.classes = parse_classes(p) if p.suffix == '.py' else []
+            return n
+
+    return _walk(root)
+
+
+def _branch(prefix: str, is_last: bool) -> str:
+    return f'{prefix}{"└── " if is_last else "├── "}'
+
+
+def render_short(root: Node) -> List[str]:
+    lines: List[str] = []
+    lines.append(f'📦 {root.name}')
+
+    def _render(node: Node, prefix: str = '') -> None:
+        for idx, child in enumerate(node.children):
+            is_last = idx == len(node.children) - 1
+            line_prefix = _branch(prefix, is_last)
+            if child.type == 'dir':
+                lines.append(f'{line_prefix}📁 {child.name}')
+                _render(child, prefix + ('    ' if is_last else '│   '))
+            else:
+                lines.append(f'{line_prefix}📄 {child.name}')
+
+    _render(root)
+    return lines
+
+
+def render_full(root: Node) -> List[str]:
+    lines: List[str] = []
+    lines.append(f'📦 {root.name}')
+
+    def _render(node: Node, prefix: str = '') -> None:
+        for idx, child in enumerate(node.children):
+            is_last = idx == len(node.children) - 1
+            line_prefix = _branch(prefix, is_last)
+            if child.type == 'dir':
+                lines.append(f'{line_prefix}📁 {child.name}')
+                _render(child, prefix + ('    ' if is_last else '│   '))
+            else:
+                lines.append(f'{line_prefix}📄 {child.name}')
+                # Classes under file
+                for c_idx, cls in enumerate(child.classes):
+                    c_last = c_idx == len(child.classes) - 1
+                    sub_prefix = prefix + ('    ' if is_last else '│   ')
+                    lines.append(f'{_branch(sub_prefix, c_last)}🏷️ class {cls}')
+
+    _render(root)
+    return lines
+
+
+def write_markdown(short_lines: List[str], full_lines: List[str]) -> None:
+    DOCS_OUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    short_md = DOCS_OUT_DIR / 'package-structure-short.md'
+    full_md = DOCS_OUT_DIR / 'package-structure-full.md'
+
+    short_content = [
+        '# Package Structure (short)',
+        '',
+        '```',
+        *short_lines,
+        '```',
+        '',
+    ]
+    full_content = [
+        '# Package Structure (full)',
+        '',
+        '```',
+        *full_lines,
+        '```',
+        '',
+    ]
+
+    short_md.write_text('\n'.join(short_content), encoding='utf-8')
+    full_md.write_text('\n'.join(full_content), encoding='utf-8')
+
+    print(f'Wrote: {short_md.relative_to(REPO_ROOT)}')
+    print(f'Wrote: {full_md.relative_to(REPO_ROOT)}')
+
+
+def main() -> None:
+    if not SRC_ROOT.exists():
+        raise SystemExit(f'Source root not found: {SRC_ROOT}')
+    root = build_tree(SRC_ROOT)
+    short_lines = render_short(root)
+    full_lines = render_full(root)
+    write_markdown(short_lines, full_lines)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tools/naming_check.py b/tools/naming_check.py
new file mode 100644
index 00000000..8160775c
--- /dev/null
+++ b/tools/naming_check.py
@@ -0,0 +1,117 @@
+"""Check naming consistency across the EasyDiffraction source tree.
+
+Rules enforced:
+- Concrete implementations: <variant>.py in <role>s/ directories →
+    <Variant><Role>
+- Abstract bases: <role>_base.py → <Role>Base
+- Factories: <role>_factory.py → <Role>Factory
+- Enums: <role>_enum.py → <Role>Enum
+- Mixins: <role>_mixins.py → <Role>Mixin (or multiple classes)
+- Directories like fit_support/, calculators/, minimizers/, etc. are
+    scanned recursively.
+
+Exit code 1 if any mismatches are found.
+"""
+
+import re
+import sys
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1] / 'src' / 'easydiffraction'
+PATTERNS = {
+    '_base': r'(?P<role>[A-Z][a-zA-Z0-9]*)Base',
+    '_factory': r'(?P<role>[A-Z][a-zA-Z0-9]*)Factory',
+    '_enum': r'(?P<role>[A-Z][a-zA-Z0-9]*)Enum',
+    '_mixins?': r'(?P<role>[A-Z][a-zA-Z0-9]*)Mixin',
+}
+
+
+def extract_classes(file_path: Path):
+    """Return a list of class names defined in the file."""
+    content = file_path.read_text(encoding='utf-8', errors='ignore')
+    return re.findall(r'^\s*class\s+([A-Z][A-Za-z0-9_]*)', content, flags=re.MULTILINE)
+
+
+def snake_to_pascal(snake: str) -> str:
+    """Convert 'crysfml_calculator' → 'CrysfmlCalculator'."""
+    return ''.join(part.capitalize() for part in snake.split('_'))
+
+
+def check_file(file_path: Path):
+    """Validate naming conventions for a single file."""
+    rel = file_path.relative_to(ROOT)
+    stem = file_path.stem
+    classes = extract_classes(file_path)
+    problems = []
+
+    # Ignore __init__.py and private modules
+    if stem.startswith('__'):
+        return []
+
+    # Expected class names
+    expected = []
+
+    # Handle base/factory/enum/mixin
+    for key, pattern in PATTERNS.items():
+        if stem.endswith(key):
+            role = stem.replace(key, '')
+            expected.append(
+                re.compile(pattern.replace('(?P<role>', f'(?P<role>{snake_to_pascal(role)}'))
+            )
+            break
+    else:
+        # Default: if file is in a known role directory, use that role
+        parent = file_path.parent.name
+        known_roles = ('calculators', 'minimizers', 'plotters', 'instruments', 'peaks')
+        if parent in known_roles:
+            role = snake_to_pascal(parent[:-1])  # remove trailing 's' for role
+            if stem == 'base':
+                expected_name = f'{role}Base'
+            elif stem == 'factory':
+                expected_name = f'{role}Factory'
+            else:
+                variant = snake_to_pascal(stem)
+                expected_name = f'{variant}{role}'
+            expected.append(re.compile(f'^{expected_name}$'))
+        else:
+            # Otherwise, expect class name to match the PascalCase file
+            # stem
+            expected_name = snake_to_pascal(stem)
+            expected.append(re.compile(f'^{expected_name}$'))
+
+    # Compare classes
+    if not classes:
+        problems.append(f'{rel}: No class definitions found')
+        return problems
+
+    match_found = False
+    for exp in expected:
+        for cls in classes:
+            if exp.match(cls):
+                match_found = True
+                break
+    if not match_found:
+        problems.append(f'{rel}: Unexpected class name(s): {", ".join(classes)}')
+
+    return problems
+
+
+def main():
+    problems = []
+    for file_path in ROOT.rglob('*.py'):
+        if any(skip in file_path.parts for skip in ('__pycache__', 'venv', '.venv', 'tests')):
+            continue
+        problems.extend(check_file(file_path))
+
+    if problems:
+        print('❌ Naming convention violations found:\n')
+        for p in problems:
+            print(' -', p)
+        print(f'\nTotal issues: {len(problems)}')
+        sys.exit(1)
+
+    print('✅ All file/class names follow naming conventions.')
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tools/test_scripts.py b/tools/test_scripts.py
index be4320ed..327bafd2 100644
--- a/tools/test_scripts.py
+++ b/tools/test_scripts.py
@@ -1,17 +1,30 @@
 """Test runner for tutorial scripts in the 'tutorials' directory.
 
 This test discovers and executes all Python scripts located under the
-'tutorials' directory to ensure they run without errors. Each script is
-executed in isolation using runpy to simulate running as a standalone
-program.
+'tutorials' directory to ensure they run without errors.
+
+Important: each script must be executed in a fresh Python process.
+Running many tutorials in-process (e.g. via runpy) leaks global state
+between scripts (notably cached calculator dictionaries keyed only by
+model/experiment names), which can cause false failures.
 """
 
-import runpy
+import os
+import subprocess  # noqa: S404
+import sys
 from pathlib import Path
 
 import pytest
 
-TUTORIALS = list(Path('tutorials').rglob('*.py'))
+# Mark this module as 'integration' so it's excluded by default
+# (see pytest.ini)
+pytestmark = pytest.mark.integration
+
+_repo_root = Path(__file__).resolve().parents[1]
+_src_root = _repo_root / 'src'
+
+# Discover tutorial scripts, excluding temporary checkpoint files
+TUTORIALS = [p for p in Path('tutorials').rglob('*.py') if '.ipynb_checkpoints' not in p.parts]
 
 
 @pytest.mark.parametrize('script_path', TUTORIALS)
@@ -21,7 +34,24 @@ def test_script_runs(script_path: Path):
     Each script is run in the context of __main__ to mimic standalone
     execution.
     """
-    try:
-        runpy.run_path(str(script_path), run_name='__main__')
-    except Exception as e:
-        pytest.fail(f'{script_path}\n{e}')
+    env = os.environ.copy()
+    if _src_root.exists():
+        existing = env.get('PYTHONPATH', '')
+        env['PYTHONPATH'] = (
+            str(_src_root) if not existing else str(_src_root) + os.pathsep + existing
+        )
+
+    # This is a test harness executing repo-local tutorial scripts.
+    # We intentionally use subprocess isolation to prevent cross-test
+    # global state leaks (e.g. calculator caches) that can cause false
+    # failures when running tutorials in a shared interpreter.
+    result = subprocess.run(  # noqa: S603
+        [sys.executable, str(script_path)],
+        cwd=str(_repo_root),
+        env=env,
+        capture_output=True,
+        text=True,
+    )
+    if result.returncode != 0:
+        details = (result.stdout or '') + (result.stderr or '')
+        pytest.fail(f'{script_path}\n{details.strip()}')
diff --git a/tools/update_spdx.py b/tools/update_spdx.py
index e05e1174..ebfe7299 100644
--- a/tools/update_spdx.py
+++ b/tools/update_spdx.py
@@ -19,35 +19,64 @@
 def update_spdx_header(file_path: Path):
     # Use Path.open to satisfy lint rule PTH123.
     with file_path.open('r', encoding='utf-8') as f:
-        lines = f.readlines()
+        original_lines = f.readlines()
 
-    # Patterns to match existing SPDX lines
+    # Regexes for SPDX lines
     copy_re = re.compile(r'^#\s*SPDX-FileCopyrightText:.*$')
     lic_re = re.compile(r'^#\s*SPDX-License-Identifier:.*$')
 
-    new_lines = []
-    found_copy = False
-    found_lic = False
-
-    for line in lines:
-        if copy_re.match(line):
-            new_lines.append(COPYRIGHT_TEXT + '\n')
-            found_copy = True
-        elif lic_re.match(line):
-            new_lines.append(LICENSE_TEXT + '\n')
-            found_lic = True
-        else:
-            new_lines.append(line)
-
-    # If not found, insert at top
-    insert_pos = 0
-    if not found_copy:
-        new_lines.insert(insert_pos, COPYRIGHT_TEXT + '\n')
-        insert_pos += 1
-    if not found_lic:
-        new_lines.insert(insert_pos, LICENSE_TEXT + '\n')
-        insert_pos += 1
-        new_lines.insert(insert_pos, '\n')
+    # 1) Preserve any leading shebang / coding cookie lines
+    prefix = []
+    body_start = 0
+    if original_lines:
+        # Shebang line like "#!/usr/bin/env python3"
+        if original_lines[0].startswith('#!'):
+            prefix.append(original_lines[0])
+            body_start = 1
+        # PEP 263 coding cookie on first or second line
+        # e.g. "# -*- coding: utf-8 -*-" or "# coding: utf-8"
+        for _ in range(2):  # at most one more line to inspect
+            if body_start < len(original_lines):
+                line = original_lines[body_start]
+                if re.match(r'^#.*coding[:=]\s*[-\w.]+', line):
+                    prefix.append(line)
+                    body_start += 1
+                else:
+                    break
+
+    # 2) Work on the remaining body
+    body = original_lines[body_start:]
+
+    # Remove any existing SPDX lines anywhere in the body
+    body = [ln for ln in body if not (copy_re.match(ln) or lic_re.match(ln))]
+
+    # Strip leading blank lines in the body so header is tight
+    while body and not body[0].strip():
+        body.pop(0)
+
+    # 3) Build canonical SPDX block: two lines + exactly one blank
+    spdx_block = [
+        COPYRIGHT_TEXT + '\n',
+        LICENSE_TEXT + '\n',
+        '\n',
+    ]
+
+    # 4) New content: prefix + SPDX + body
+    new_lines = prefix + spdx_block + body
+
+    # 5) Normalize: collapse any extra blank lines immediately after
+    #    LICENSE to exactly one. This keeps the script idempotent.
+    # Find the index of LICENSE we just inserted (prefix may be 0, 1,
+    # or 2 lines)
+    lic_idx = len(prefix) + 1  # spdx_block[1] is the license line
+    # Ensure exactly one blank line after LICENSE
+    # Remove all blank lines after lic_idx, then insert a single blank.
+    j = lic_idx + 1
+    # Remove any number of blank lines following
+    while j < len(new_lines) and not new_lines[j].strip():
+        new_lines.pop(j)
+    # Insert exactly one blank line at this position
+    new_lines.insert(j, '\n')
 
     with file_path.open('w', encoding='utf-8') as f:
         f.writelines(new_lines)
@@ -55,13 +84,11 @@ def update_spdx_header(file_path: Path):
 
 def main():
     """Recursively update or insert SPDX headers in all Python files
-    under the 'src' directory, skipping files located in virtual
-    environment folders ('venv' or '.venv').
+    under the 'src' and 'tests' directories.
     """
-    for py_file in Path('src').rglob('*.py'):
-        if 'venv' in py_file.parts or '.venv' in py_file.parts:
-            continue
-        update_spdx_header(py_file)
+    for base_dir in ('src', 'tests'):
+        for py_file in Path(base_dir).rglob('*.py'):
+            update_spdx_header(py_file)
 
 
 if __name__ == '__main__':
diff --git a/tutorials/advanced_joint-fit_pd-neut-xray-cwl_PbSO4.py b/tutorials/advanced_joint-fit_pd-neut-xray-cwl_PbSO4.py
index f3d064e0..a946c659 100644
--- a/tutorials/advanced_joint-fit_pd-neut-xray-cwl_PbSO4.py
+++ b/tutorials/advanced_joint-fit_pd-neut-xray-cwl_PbSO4.py
@@ -15,10 +15,10 @@
 # ## Import Library
 
 # %%
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 # %% [markdown]
 # ## Define Sample Model
@@ -29,7 +29,7 @@
 # #### Create Sample Model
 
 # %%
-model = SampleModel('pbso4')
+model = SampleModelFactory.create(name='pbso4')
 
 # %% [markdown]
 # #### Set Space Group
@@ -49,11 +49,51 @@
 # #### Set Atom Sites
 
 # %%
-model.atom_sites.add('Pb', 'Pb', 0.1876, 0.25, 0.167, b_iso=1.37)
-model.atom_sites.add('S', 'S', 0.0654, 0.25, 0.684, b_iso=0.3777)
-model.atom_sites.add('O1', 'O', 0.9082, 0.25, 0.5954, b_iso=1.9764)
-model.atom_sites.add('O2', 'O', 0.1935, 0.25, 0.5432, b_iso=1.4456)
-model.atom_sites.add('O3', 'O', 0.0811, 0.0272, 0.8086, b_iso=1.2822)
+model.atom_sites.add(
+    label='Pb',
+    type_symbol='Pb',
+    fract_x=0.1876,
+    fract_y=0.25,
+    fract_z=0.167,
+    wyckoff_letter='c',
+    b_iso=1.37,
+)
+model.atom_sites.add(
+    label='S',
+    type_symbol='S',
+    fract_x=0.0654,
+    fract_y=0.25,
+    fract_z=0.684,
+    wyckoff_letter='c',
+    b_iso=0.3777,
+)
+model.atom_sites.add(
+    label='O1',
+    type_symbol='O',
+    fract_x=0.9082,
+    fract_y=0.25,
+    fract_z=0.5954,
+    wyckoff_letter='c',
+    b_iso=1.9764,
+)
+model.atom_sites.add(
+    label='O2',
+    type_symbol='O',
+    fract_x=0.1935,
+    fract_y=0.25,
+    fract_z=0.5432,
+    wyckoff_letter='c',
+    b_iso=1.4456,
+)
+model.atom_sites.add(
+    label='O3',
+    type_symbol='O',
+    fract_x=0.0811,
+    fract_y=0.0272,
+    fract_z=0.8086,
+    wyckoff_letter='d',
+    b_iso=1.2822,
+)
 
 
 # %% [markdown]
@@ -67,15 +107,15 @@
 # #### Download Data
 
 # %%
-download_from_repository('d1a_pbso4.dat', destination='data')
+data_path1 = download_data(id=13, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-expt1 = Experiment(
+expt1 = ExperimentFactory.create(
     name='npd',
-    data_path='data/d1a_pbso4.dat',
+    data_path=data_path1,
     radiation_probe='neutron',
 )
 
@@ -109,23 +149,23 @@
 # Add background points.
 
 # %%
-for x, y in [
-    (11.0, 206.1624),
-    (15.0, 194.75),
-    (20.0, 194.505),
-    (30.0, 188.4375),
-    (50.0, 207.7633),
-    (70.0, 201.7002),
-    (120.0, 244.4525),
-    (153.0, 226.0595),
+for id, x, y in [
+    ('1', 11.0, 206.1624),
+    ('2', 15.0, 194.75),
+    ('3', 20.0, 194.505),
+    ('4', 30.0, 188.4375),
+    ('5', 50.0, 207.7633),
+    ('6', 70.0, 201.7002),
+    ('7', 120.0, 244.4525),
+    ('8', 153.0, 226.0595),
 ]:
-    expt1.background.add(x, y)
+    expt1.background.add(id=id, x=x, y=y)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-expt1.linked_phases.add('pbso4', scale=1.5)
+expt1.linked_phases.add(id='pbso4', scale=1.5)
 
 # %% [markdown]
 # ### Experiment 2: xrd
@@ -133,15 +173,15 @@
 # #### Download Data
 
 # %%
-download_from_repository('lab_pbso4.dat', destination='data')
+data_path2 = download_data(id=16, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-expt2 = Experiment(
+expt2 = ExperimentFactory.create(
     name='xrd',
-    data_path='data/lab_pbso4.dat',
+    data_path=data_path2,
     radiation_probe='xray',
 )
 
@@ -175,21 +215,21 @@
 # Add background points.
 
 # %%
-for x, y in [
-    (0, 119.195),
-    (1, 6.221),
-    (2, -45.725),
-    (3, 8.119),
-    (4, 54.552),
-    (5, -20.661),
+for id, x, y in [
+    ('1', 0, 119.195),
+    ('2', 1, 6.221),
+    ('3', 2, -45.725),
+    ('4', 3, 8.119),
+    ('5', 4, 54.552),
+    ('6', 5, -20.661),
 ]:
-    expt2.background.add(x, y)
+    expt2.background.add(id=id, order=x, coef=y)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-expt2.linked_phases.add('pbso4', scale=0.001)
+expt2.linked_phases.add(id='pbso4', scale=0.001)
 
 # %% [markdown]
 # ## Define Project
@@ -206,14 +246,14 @@
 # #### Add Sample Model
 
 # %%
-project.sample_models.add(model)
+project.sample_models.add(sample_model=model)
 
 # %% [markdown]
 # #### Add Experiments
 
 # %%
-project.experiments.add(expt1)
-project.experiments.add(expt2)
+project.experiments.add(experiment=expt1)
+project.experiments.add(experiment=expt2)
 
 # %% [markdown]
 # ## Perform Analysis
diff --git a/tutorials/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py b/tutorials/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py
index 94e9c62f..39df7344 100644
--- a/tutorials/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py
+++ b/tutorials/basic_single-fit_pd-neut-cwl_LBCO-HRPT.py
@@ -79,7 +79,9 @@
 # Set plotting engine.
 
 # %%
-project.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
 
 # %% [markdown]
 # ## Step 2: Define Sample Model
@@ -165,12 +167,6 @@
     b_iso=0.5,
 )
 
-# %% [markdown]
-# #### Apply Symmetry Constraints
-
-# %%
-project.sample_models['lbco'].apply_symmetry_constraints()
-
 # %% [markdown]
 # #### Show Sample Model as CIF
 
@@ -205,15 +201,15 @@
 # Download the data file from the EasyDiffraction repository on GitHub.
 
 # %%
-ed.download_from_repository('hrpt_lbco.xye', destination='data')
+data_path = ed.download_data(id=3, destination='data')
 
 # %% [markdown]
 # #### Add Diffraction Experiment
 
 # %%
-project.experiments.add_from_data_path(
+project.experiments.add(
     name='hrpt',
-    data_path='data/hrpt_lbco.xye',
+    data_path=data_path,
     sample_form='powder',
     beam_mode='constant wavelength',
     radiation_probe='neutron',
@@ -295,11 +291,11 @@
 # Add background points.
 
 # %%
-project.experiments['hrpt'].background.add(x=10, y=170)
-project.experiments['hrpt'].background.add(x=30, y=170)
-project.experiments['hrpt'].background.add(x=50, y=170)
-project.experiments['hrpt'].background.add(x=110, y=170)
-project.experiments['hrpt'].background.add(x=165, y=170)
+project.experiments['hrpt'].background.add(id='10', x=10, y=170)
+project.experiments['hrpt'].background.add(id='30', x=30, y=170)
+project.experiments['hrpt'].background.add(id='50', x=50, y=170)
+project.experiments['hrpt'].background.add(id='110', x=110, y=170)
+project.experiments['hrpt'].background.add(id='165', x=165, y=170)
 
 # %% [markdown]
 # Show current background points.
@@ -373,7 +369,7 @@
 # Show all parameters of the project.
 
 # %%
-project.analysis.show_all_params()
+# project.analysis.show_all_params()
 
 # %% [markdown]
 # Show all fittable parameters.
@@ -391,7 +387,7 @@
 # Show how to access parameters in the code.
 
 # %%
-project.analysis.how_to_access_parameters()
+# project.analysis.how_to_access_parameters()
 
 # %% [markdown]
 # #### Set Fit Mode
@@ -705,3 +701,5 @@
 
 # %%
 project.summary.show_report()
+
+# %%
diff --git a/tutorials/cryst-struct_pd-neut-cwl_CoSiO4-D20.py b/tutorials/cryst-struct_pd-neut-cwl_CoSiO4-D20.py
index 95a7f9f0..625ddd0a 100644
--- a/tutorials/cryst-struct_pd-neut-cwl_CoSiO4-D20.py
+++ b/tutorials/cryst-struct_pd-neut-cwl_CoSiO4-D20.py
@@ -9,10 +9,10 @@
 # ## Import Library
 
 # %%
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 # %% [markdown]
 # ## Define Sample Model
@@ -23,7 +23,7 @@
 # #### Create Sample Model
 
 # %%
-model = SampleModel('cosio')
+model = SampleModelFactory.create(name='cosio')
 
 # %% [markdown]
 # #### Set Space Group
@@ -44,32 +44,60 @@
 # #### Set Atom Sites
 
 # %%
-model.atom_sites.add('Co1', 'Co', 0, 0, 0, wyckoff_letter='a', b_iso=0.5)
-model.atom_sites.add('Co2', 'Co', 0.279, 0.25, 0.985, wyckoff_letter='c', b_iso=0.5)
-model.atom_sites.add('Si', 'Si', 0.094, 0.25, 0.429, wyckoff_letter='c', b_iso=0.5)
-model.atom_sites.add('O1', 'O', 0.091, 0.25, 0.771, wyckoff_letter='c', b_iso=0.5)
-model.atom_sites.add('O2', 'O', 0.448, 0.25, 0.217, wyckoff_letter='c', b_iso=0.5)
-model.atom_sites.add('O3', 'O', 0.164, 0.032, 0.28, wyckoff_letter='d', b_iso=0.5)
-
-# %% [markdown]
-# #### Symmetry Constraints
-#
-# Show CIF output before applying symmetry constraints.
-
-# %%
-model.show_as_cif()
-
-# %% [markdown]
-# Apply symmetry constraints.
-
-# %%
-model.apply_symmetry_constraints()
-
-# %% [markdown]
-# Show CIF output after applying symmetry constraints.
-
-# %%
-model.show_as_cif()
+model.atom_sites.add(
+    label='Co1',
+    type_symbol='Co',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='Co2',
+    type_symbol='Co',
+    fract_x=0.279,
+    fract_y=0.25,
+    fract_z=0.985,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='Si',
+    type_symbol='Si',
+    fract_x=0.094,
+    fract_y=0.25,
+    fract_z=0.429,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='O1',
+    type_symbol='O',
+    fract_x=0.091,
+    fract_y=0.25,
+    fract_z=0.771,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='O2',
+    type_symbol='O',
+    fract_x=0.448,
+    fract_y=0.25,
+    fract_z=0.217,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='O3',
+    type_symbol='O',
+    fract_x=0.164,
+    fract_y=0.032,
+    fract_z=0.28,
+    wyckoff_letter='d',
+    b_iso=0.5,
+)
 
 # %% [markdown]
 # ## Define Experiment
@@ -80,13 +108,13 @@
 # #### Download Measured Data
 
 # %%
-download_from_repository('co2sio4_d20.xye', destination='data')
+data_path = download_data(id=12, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-expt = Experiment(name='d20', data_path='data/co2sio4_d20.xye')
+expt = ExperimentFactory.create(name='d20', data_path=data_path)
 
 # %% [markdown]
 # #### Set Instrument
@@ -107,26 +135,26 @@
 # #### Set Background
 
 # %%
-expt.background.add(x=8, y=500)
-expt.background.add(x=9, y=500)
-expt.background.add(x=10, y=500)
-expt.background.add(x=11, y=500)
-expt.background.add(x=12, y=500)
-expt.background.add(x=15, y=500)
-expt.background.add(x=25, y=500)
-expt.background.add(x=30, y=500)
-expt.background.add(x=50, y=500)
-expt.background.add(x=70, y=500)
-expt.background.add(x=90, y=500)
-expt.background.add(x=110, y=500)
-expt.background.add(x=130, y=500)
-expt.background.add(x=150, y=500)
+expt.background.add(id='1', x=8, y=500)
+expt.background.add(id='2', x=9, y=500)
+expt.background.add(id='3', x=10, y=500)
+expt.background.add(id='4', x=11, y=500)
+expt.background.add(id='5', x=12, y=500)
+expt.background.add(id='6', x=15, y=500)
+expt.background.add(id='7', x=25, y=500)
+expt.background.add(id='8', x=30, y=500)
+expt.background.add(id='9', x=50, y=500)
+expt.background.add(id='10', x=70, y=500)
+expt.background.add(id='11', x=90, y=500)
+expt.background.add(id='12', x=110, y=500)
+expt.background.add(id='13', x=130, y=500)
+expt.background.add(id='14', x=150, y=500)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-expt.linked_phases.add('cosio', scale=1.0)
+expt.linked_phases.add(id='cosio', scale=1.0)
 
 # %% [markdown]
 # ## Define Project
@@ -143,19 +171,21 @@
 # #### Set Plotting Engine
 
 # %%
-project.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
 
 # %% [markdown]
 # #### Add Sample Model
 
 # %%
-project.sample_models.add(model)
+project.sample_models.add(sample_model=model)
 
 # %% [markdown]
 # #### Add Experiment
 
 # %%
-project.experiments.add(expt)
+project.experiments.add(experiment=expt)
 
 # %% [markdown]
 # ## Perform Analysis
diff --git a/tutorials/cryst-struct_pd-neut-cwl_HS-HRPT.py b/tutorials/cryst-struct_pd-neut-cwl_HS-HRPT.py
index 515445c2..77664ba5 100644
--- a/tutorials/cryst-struct_pd-neut-cwl_HS-HRPT.py
+++ b/tutorials/cryst-struct_pd-neut-cwl_HS-HRPT.py
@@ -9,10 +9,10 @@
 # ## Import Library
 
 # %%
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 # %% [markdown]
 # ## Define Sample Model
@@ -23,7 +23,7 @@
 # #### Create Sample Model
 
 # %%
-model = SampleModel('hs')
+model = SampleModelFactory.create(name='hs')
 
 # %% [markdown]
 # #### Set Space Group
@@ -35,6 +35,7 @@
 # %% [markdown]
 # #### Set Unit Cell
 
+
 # %%
 model.cell.length_a = 6.9
 model.cell.length_c = 14.1
@@ -43,31 +44,51 @@
 # #### Set Atom Sites
 
 # %%
-model.atom_sites.add('Zn', 'Zn', 0, 0, 0.5, wyckoff_letter='b', b_iso=0.5)
-model.atom_sites.add('Cu', 'Cu', 0.5, 0, 0, wyckoff_letter='e', b_iso=0.5)
-model.atom_sites.add('O', 'O', 0.21, -0.21, 0.06, wyckoff_letter='h', b_iso=0.5)
-model.atom_sites.add('Cl', 'Cl', 0, 0, 0.197, wyckoff_letter='c', b_iso=0.5)
-model.atom_sites.add('H', '2H', 0.13, -0.13, 0.08, wyckoff_letter='h', b_iso=0.5)
-
-# %% [markdown]
-# #### Symmetry constraints
-#
-# Show CIF output before applying symmetry constraints.
-
-# %%
-model.show_as_cif()
-
-# %% [markdown]
-# Apply symmetry constraints.
-
-# %%
-model.apply_symmetry_constraints()
-
-# %% [markdown]
-# Show CIF output after applying symmetry constraints.
-
-# %%
-model.show_as_cif()
+model.atom_sites.add(
+    label='Zn',
+    type_symbol='Zn',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0.5,
+    wyckoff_letter='b',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='Cu',
+    type_symbol='Cu',
+    fract_x=0.5,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='e',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='O',
+    type_symbol='O',
+    fract_x=0.21,
+    fract_y=-0.21,
+    fract_z=0.06,
+    wyckoff_letter='h',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='Cl',
+    type_symbol='Cl',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0.197,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+model.atom_sites.add(
+    label='H',
+    type_symbol='2H',
+    fract_x=0.13,
+    fract_y=-0.13,
+    fract_z=0.08,
+    wyckoff_letter='h',
+    b_iso=0.5,
+)
 
 # %% [markdown]
 # ## Define Experiment
@@ -78,13 +99,13 @@
 # #### Download Measured Data
 
 # %%
-download_from_repository('hrpt_hs.xye', destination='data')
+data_path = download_data(id=11, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-expt = Experiment(name='hrpt', data_path='data/hrpt_hs.xye')
+expt = ExperimentFactory.create(name='hrpt', data_path=data_path)
 
 # %% [markdown]
 # #### Set Instrument
@@ -107,21 +128,21 @@
 # #### Set Background
 
 # %%
-expt.background.add(x=4.4196, y=500)
-expt.background.add(x=6.6207, y=500)
-expt.background.add(x=10.4918, y=500)
-expt.background.add(x=15.4634, y=500)
-expt.background.add(x=45.6041, y=500)
-expt.background.add(x=74.6844, y=500)
-expt.background.add(x=103.4187, y=500)
-expt.background.add(x=121.6311, y=500)
-expt.background.add(x=159.4116, y=500)
+expt.background.add(id='1', x=4.4196, y=500)
+expt.background.add(id='2', x=6.6207, y=500)
+expt.background.add(id='3', x=10.4918, y=500)
+expt.background.add(id='4', x=15.4634, y=500)
+expt.background.add(id='5', x=45.6041, y=500)
+expt.background.add(id='6', x=74.6844, y=500)
+expt.background.add(id='7', x=103.4187, y=500)
+expt.background.add(id='8', x=121.6311, y=500)
+expt.background.add(id='9', x=159.4116, y=500)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-expt.linked_phases.add('hs', scale=0.5)
+expt.linked_phases.add(id='hs', scale=0.5)
 
 # %% [markdown]
 # ## Define Project
@@ -138,19 +159,21 @@
 # #### Set Plotting Engine
 
 # %%
-project.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
 
 # %% [markdown]
 # #### Add Sample Model
 
 # %%
-project.sample_models.add(model)
+project.sample_models.add(sample_model=model)
 
 # %% [markdown]
 # #### Add Experiment
 
 # %%
-project.experiments.add(expt)
+project.experiments.add(experiment=expt)
 
 # %% [markdown]
 # ## Perform Analysis
diff --git a/tutorials/cryst-struct_pd-neut-tof_Si-SEPD.py b/tutorials/cryst-struct_pd-neut-tof_Si-SEPD.py
index 0edbdbb0..26aee1ae 100644
--- a/tutorials/cryst-struct_pd-neut-tof_Si-SEPD.py
+++ b/tutorials/cryst-struct_pd-neut-tof_Si-SEPD.py
@@ -9,10 +9,10 @@
 # ## Import Library
 
 # %%
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 # %% [markdown]
 # ## Define Sample Model
@@ -23,7 +23,7 @@
 # #### Create Sample Model
 
 # %%
-model = SampleModel('si')
+model = SampleModelFactory.create(name='si')
 
 # %% [markdown]
 # #### Set Space Group
@@ -42,24 +42,31 @@
 # #### Set Atom Sites
 
 # %%
-model.atom_sites.add('Si', 'Si', 0.125, 0.125, 0.125, b_iso=0.5)
+model.atom_sites.add(
+    label='Si',
+    type_symbol='Si',
+    fract_x=0.125,
+    fract_y=0.125,
+    fract_z=0.125,
+    b_iso=0.5,
+)
 
 # %% [markdown]
 # ## Define Experiment
 #
-# This section shows how to add expßeriments, configure their
+# This section shows how to add experiments, configure their
 # parameters, and link the sample models defined in the previous step.
 #
 # #### Download Measured Data
 
 # %%
-download_from_repository('sepd_si.xye', destination='data')
+data_path = download_data(id=7, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-expt = Experiment(name='sepd', data_path='data/sepd_si.xye', beam_mode='time-of-flight')
+expt = ExperimentFactory.create(name='sepd', data_path=data_path, beam_mode='time-of-flight')
 
 # %% [markdown]
 # #### Set Instrument
@@ -94,13 +101,13 @@
 # %%
 expt.background_type = 'line-segment'
 for x in range(0, 35000, 5000):
-    expt.background.add(x=x, y=200)
+    expt.background.add(id=str(x), x=x, y=200)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-expt.linked_phases.add('si', scale=10.0)
+expt.linked_phases.add(id='si', scale=10.0)
 
 # %% [markdown]
 # ## Define Project
@@ -113,23 +120,17 @@
 # %%
 project = Project()
 
-# %% [markdown]
-# #### Set Plotting Engine
-
-# %%
-project.plotter.engine = 'plotly'
-
 # %% [markdown]
 # #### Add Sample Model
 
 # %%
-project.sample_models.add(model)
+project.sample_models.add(sample_model=model)
 
 # %% [markdown]
 # #### Add Experiment
 
 # %%
-project.experiments.add(expt)
+project.experiments.add(experiment=expt)
 
 # %% [markdown]
 # ## Perform Analysis
diff --git a/tutorials/cryst-struct_pd-neut-tof_multidata_NCAF-WISH.py b/tutorials/cryst-struct_pd-neut-tof_multidata_NCAF-WISH.py
index 4394121a..4f795376 100644
--- a/tutorials/cryst-struct_pd-neut-tof_multidata_NCAF-WISH.py
+++ b/tutorials/cryst-struct_pd-neut-tof_multidata_NCAF-WISH.py
@@ -12,10 +12,10 @@
 # ## Import Library
 
 # %%
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 # %% [markdown]
 # ## Define Sample Model
@@ -26,7 +26,7 @@
 # #### Create Sample Model
 
 # %%
-model = SampleModel('ncaf')
+model = SampleModelFactory.create(name='ncaf')
 
 # %% [markdown]
 # #### Set Space Group
@@ -45,12 +45,60 @@
 # #### Set Atom Sites
 
 # %%
-model.atom_sites.add('Ca', 'Ca', 0.4663, 0.0, 0.25, wyckoff_letter='b', b_iso=0.92)
-model.atom_sites.add('Al', 'Al', 0.2521, 0.2521, 0.2521, wyckoff_letter='a', b_iso=0.73)
-model.atom_sites.add('Na', 'Na', 0.0851, 0.0851, 0.0851, wyckoff_letter='a', b_iso=2.08)
-model.atom_sites.add('F1', 'F', 0.1377, 0.3054, 0.1195, wyckoff_letter='c', b_iso=0.90)
-model.atom_sites.add('F2', 'F', 0.3625, 0.3633, 0.1867, wyckoff_letter='c', b_iso=1.37)
-model.atom_sites.add('F3', 'F', 0.4612, 0.4612, 0.4612, wyckoff_letter='a', b_iso=0.88)
+model.atom_sites.add(
+    label='Ca',
+    type_symbol='Ca',
+    fract_x=0.4663,
+    fract_y=0.0,
+    fract_z=0.25,
+    wyckoff_letter='b',
+    b_iso=0.92,
+)
+model.atom_sites.add(
+    label='Al',
+    type_symbol='Al',
+    fract_x=0.2521,
+    fract_y=0.2521,
+    fract_z=0.2521,
+    wyckoff_letter='a',
+    b_iso=0.73,
+)
+model.atom_sites.add(
+    label='Na',
+    type_symbol='Na',
+    fract_x=0.0851,
+    fract_y=0.0851,
+    fract_z=0.0851,
+    wyckoff_letter='a',
+    b_iso=2.08,
+)
+model.atom_sites.add(
+    label='F1',
+    type_symbol='F',
+    fract_x=0.1377,
+    fract_y=0.3054,
+    fract_z=0.1195,
+    wyckoff_letter='c',
+    b_iso=0.90,
+)
+model.atom_sites.add(
+    label='F2',
+    type_symbol='F',
+    fract_x=0.3625,
+    fract_y=0.3633,
+    fract_z=0.1867,
+    wyckoff_letter='c',
+    b_iso=1.37,
+)
+model.atom_sites.add(
+    label='F3',
+    type_symbol='F',
+    fract_x=0.4612,
+    fract_y=0.4612,
+    fract_z=0.4612,
+    wyckoff_letter='a',
+    b_iso=0.88,
+)
 
 # %% [markdown]
 # ## Define Experiment
@@ -61,31 +109,25 @@
 # #### Download Measured Data
 
 # %%
-download_from_repository(
-    'wish_ncaf_5_6.xys',
-    destination='data',
-)
+data_path56 = download_data(id=9, destination='data')
 
 # %%
-download_from_repository(
-    'wish_ncaf_4_7.xys',
-    destination='data',
-)
+data_path47 = download_data(id=10, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-expt56 = Experiment(
+expt56 = ExperimentFactory.create(
     name='wish_5_6',
-    data_path='data/wish_ncaf_5_6.xys',
+    data_path=data_path56,
     beam_mode='time-of-flight',
 )
 
 # %%
-expt47 = Experiment(
+expt47 = ExperimentFactory.create(
     name='wish_4_7',
-    data_path='data/wish_ncaf_4_7.xys',
+    data_path=data_path47,
     beam_mode='time-of-flight',
 )
 
@@ -130,90 +172,96 @@
 
 # %%
 expt56.background_type = 'line-segment'
-for x, y in [
-    (9162, 465),
-    (11136, 593),
-    (13313, 497),
-    (14906, 546),
-    (16454, 533),
-    (17352, 496),
-    (18743, 428),
-    (20179, 452),
-    (21368, 397),
-    (22176, 468),
-    (22827, 477),
-    (24644, 380),
-    (26439, 381),
-    (28257, 378),
-    (31196, 343),
-    (34034, 328),
-    (37265, 310),
-    (41214, 323),
-    (44827, 283),
-    (49830, 273),
-    (52905, 257),
-    (58204, 260),
-    (62916, 261),
-    (70186, 262),
-    (74204, 262),
-    (82103, 268),
-    (91958, 268),
-    (102712, 262),
-]:
-    expt56.background.add(x, y)
+for idx, (x, y) in enumerate(
+    [
+        (9162, 465),
+        (11136, 593),
+        (13313, 497),
+        (14906, 546),
+        (16454, 533),
+        (17352, 496),
+        (18743, 428),
+        (20179, 452),
+        (21368, 397),
+        (22176, 468),
+        (22827, 477),
+        (24644, 380),
+        (26439, 381),
+        (28257, 378),
+        (31196, 343),
+        (34034, 328),
+        (37265, 310),
+        (41214, 323),
+        (44827, 283),
+        (49830, 273),
+        (52905, 257),
+        (58204, 260),
+        (62916, 261),
+        (70186, 262),
+        (74204, 262),
+        (82103, 268),
+        (91958, 268),
+        (102712, 262),
+    ],
+    start=1,
+):
+    expt56.background.add(id=str(idx), x=x, y=y)
 
 # %%
 expt47.background_type = 'line-segment'
-for x, y in [
-    (9090, 488),
-    (10672, 566),
-    (12287, 494),
-    (14037, 559),
-    (15451, 529),
-    (16764, 445),
-    (18076, 460),
-    (19456, 413),
-    (20466, 511),
-    (21880, 396),
-    (23798, 391),
-    (25447, 385),
-    (28073, 349),
-    (30058, 332),
-    (32583, 309),
-    (34804, 355),
-    (37160, 318),
-    (40324, 290),
-    (46895, 260),
-    (50631, 256),
-    (54602, 246),
-    (58439, 264),
-    (66520, 250),
-    (75002, 258),
-    (83649, 257),
-    (92770, 255),
-    (101524, 260),
-]:
-    expt47.background.add(x, y)
+for idx, (x, y) in enumerate(
+    [
+        (9090, 488),
+        (10672, 566),
+        (12287, 494),
+        (14037, 559),
+        (15451, 529),
+        (16764, 445),
+        (18076, 460),
+        (19456, 413),
+        (20466, 511),
+        (21880, 396),
+        (23798, 391),
+        (25447, 385),
+        (28073, 349),
+        (30058, 332),
+        (32583, 309),
+        (34804, 355),
+        (37160, 318),
+        (40324, 290),
+        (46895, 260),
+        (50631, 256),
+        (54602, 246),
+        (58439, 264),
+        (66520, 250),
+        (75002, 258),
+        (83649, 257),
+        (92770, 255),
+        (101524, 260),
+    ],
+    start=1,
+):
+    expt47.background.add(id=str(idx), x=x, y=y)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-expt56.linked_phases.add('ncaf', scale=1.0)
+expt56.linked_phases.add(id='ncaf', scale=1.0)
 
 # %%
-expt47.linked_phases.add('ncaf', scale=2.0)
+expt47.linked_phases.add(id='ncaf', scale=2.0)
 
 # %% [markdown]
 # #### Set Excluded Regions
 
 # %%
-expt56.excluded_regions.add(start=0, end=10010)
-expt56.excluded_regions.add(start=100010, end=200000)
+expt56.excluded_regions.add(id='1', start=0, end=10010)
+expt56.excluded_regions.add(id='2', start=100010, end=200000)
 
 # %%
-expt47.excluded_regions.add(start=0, end=10006)
-expt47.excluded_regions.add(start=100004, end=200000)
+expt47.excluded_regions.add(id='1', start=0, end=10006)
+expt47.excluded_regions.add(id='2', start=100004, end=200000)
 
 # %% [markdown]
 # ## Define Project
@@ -230,20 +278,22 @@
 # #### Set Plotting Engine
 
 # %%
-project.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
 
 # %% [markdown]
 # #### Add Sample Model
 
 # %%
-project.sample_models.add(model)
+project.sample_models.add(sample_model=model)
 
 # %% [markdown]
 # #### Add Experiment
 
 # %%
-project.experiments.add(expt56)
-project.experiments.add(expt47)
+project.experiments.add(experiment=expt56)
+project.experiments.add(experiment=expt47)
 
 # %% [markdown]
 # ## Perform Analysis
diff --git a/tutorials/cryst-struct_pd-neut-tof_multiphase-LBCO-Si_McStas.py b/tutorials/cryst-struct_pd-neut-tof_multiphase-LBCO-Si_McStas.py
index a334a77f..1055a069 100644
--- a/tutorials/cryst-struct_pd-neut-tof_multiphase-LBCO-Si_McStas.py
+++ b/tutorials/cryst-struct_pd-neut-tof_multiphase-LBCO-Si_McStas.py
@@ -9,10 +9,10 @@
 # ## Import Library
 
 # %%
-from easydiffraction import Experiment
+from easydiffraction import ExperimentFactory
 from easydiffraction import Project
-from easydiffraction import SampleModel
-from easydiffraction import download_from_repository
+from easydiffraction import SampleModelFactory
+from easydiffraction import download_data
 
 # %% [markdown]
 # ## Define Sample Models
@@ -23,7 +23,7 @@
 # ### Create Sample Model 1: LBCO
 
 # %%
-model_1 = SampleModel('lbco')
+model_1 = SampleModelFactory.create(name='lbco')
 
 # %% [markdown]
 # #### Set Space Group
@@ -42,16 +42,50 @@
 # #### Set Atom Sites
 
 # %%
-model_1.atom_sites.add('La', 'La', 0, 0, 0, wyckoff_letter='a', b_iso=0.2, occupancy=0.5)
-model_1.atom_sites.add('Ba', 'Ba', 0, 0, 0, wyckoff_letter='a', b_iso=0.2, occupancy=0.5)
-model_1.atom_sites.add('Co', 'Co', 0.5, 0.5, 0.5, wyckoff_letter='b', b_iso=0.2567)
-model_1.atom_sites.add('O', 'O', 0, 0.5, 0.5, wyckoff_letter='c', b_iso=1.4041)
+model_1.atom_sites.add(
+    label='La',
+    type_symbol='La',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.2,
+    occupancy=0.5,
+)
+model_1.atom_sites.add(
+    label='Ba',
+    type_symbol='Ba',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.2,
+    occupancy=0.5,
+)
+model_1.atom_sites.add(
+    label='Co',
+    type_symbol='Co',
+    fract_x=0.5,
+    fract_y=0.5,
+    fract_z=0.5,
+    wyckoff_letter='b',
+    b_iso=0.2567,
+)
+model_1.atom_sites.add(
+    label='O',
+    type_symbol='O',
+    fract_x=0,
+    fract_y=0.5,
+    fract_z=0.5,
+    wyckoff_letter='c',
+    b_iso=1.4041,
+)
 
 # %% [markdown]
 # ### Create Sample Model 2: Si
 
 # %%
-model_2 = SampleModel('si')
+model_2 = SampleModelFactory.create(name='si')
 
 # %% [markdown]
 # #### Set Space Group
@@ -71,11 +105,11 @@
 
 # %%
 model_2.atom_sites.add(
-    'Si',
-    'Si',
-    0.0,
-    0.0,
-    0.0,
+    label='Si',
+    type_symbol='Si',
+    fract_x=0.0,
+    fract_y=0.0,
+    fract_z=0.0,
     wyckoff_letter='a',
     b_iso=0.0,
 )
@@ -89,15 +123,15 @@
 # #### Download Data
 
 # %%
-download_from_repository('mcstas_lbco-si.xye', destination='data')
+data_path = download_data(id=8, destination='data')
 
 # %% [markdown]
 # #### Create Experiment
 
 # %%
-experiment = Experiment(
+experiment = ExperimentFactory.create(
     name='mcstas',
-    data_path='data/mcstas_lbco-si.xye',
+    data_path=data_path,
     sample_form='powder',
     beam_mode='time-of-flight',
     radiation_probe='neutron',
@@ -139,26 +173,26 @@
 # Add background points.
 
 # %%
-experiment.background.add(x=45000, y=0.2)
-experiment.background.add(x=50000, y=0.2)
-experiment.background.add(x=55000, y=0.2)
-experiment.background.add(x=65000, y=0.2)
-experiment.background.add(x=70000, y=0.2)
-experiment.background.add(x=75000, y=0.2)
-experiment.background.add(x=80000, y=0.2)
-experiment.background.add(x=85000, y=0.2)
-experiment.background.add(x=90000, y=0.2)
-experiment.background.add(x=95000, y=0.2)
-experiment.background.add(x=100000, y=0.2)
-experiment.background.add(x=105000, y=0.2)
-experiment.background.add(x=110000, y=0.2)
+experiment.background.add(id='1', x=45000, y=0.2)
+experiment.background.add(id='2', x=50000, y=0.2)
+experiment.background.add(id='3', x=55000, y=0.2)
+experiment.background.add(id='4', x=65000, y=0.2)
+experiment.background.add(id='5', x=70000, y=0.2)
+experiment.background.add(id='6', x=75000, y=0.2)
+experiment.background.add(id='7', x=80000, y=0.2)
+experiment.background.add(id='8', x=85000, y=0.2)
+experiment.background.add(id='9', x=90000, y=0.2)
+experiment.background.add(id='10', x=95000, y=0.2)
+experiment.background.add(id='11', x=100000, y=0.2)
+experiment.background.add(id='12', x=105000, y=0.2)
+experiment.background.add(id='13', x=110000, y=0.2)
 
 # %% [markdown]
 # #### Set Linked Phases
 
 # %%
-experiment.linked_phases.add('lbco', scale=4.0)
-experiment.linked_phases.add('si', scale=0.2)
+experiment.linked_phases.add(id='lbco', scale=4.0)
+experiment.linked_phases.add(id='si', scale=0.2)
 
 # %% [markdown]
 # ## Define Project
@@ -171,18 +205,12 @@
 # %%
 project = Project()
 
-# %% [markdown]
-# #### Set Plotting Engine
-
-# %%
-project.plotter.engine = 'plotly'
-
 # %% [markdown]
 # #### Add Sample Models
 
 # %%
-project.sample_models.add(model_1)
-project.sample_models.add(model_2)
+project.sample_models.add(sample_model=model_1)
+project.sample_models.add(sample_model=model_2)
 
 # %% [markdown]
 # #### Show Sample Models
@@ -194,7 +222,7 @@
 # #### Add Experiments
 
 # %%
-project.experiments.add(experiment)
+project.experiments.add(experiment=experiment)
 
 # %% [markdown]
 # #### Set Excluded Regions
@@ -208,8 +236,8 @@
 # Add excluded regions.
 
 # %%
-experiment.excluded_regions.add(start=0, end=40000)
-experiment.excluded_regions.add(start=108000, end=200000)
+experiment.excluded_regions.add(id='1', start=0, end=40000)
+experiment.excluded_regions.add(id='2', start=108000, end=200000)
 
 # %% [markdown]
 # Show excluded regions.
@@ -287,3 +315,5 @@
 
 # %%
 project.plot_meas_vs_calc(expt_name='mcstas')
+
+# %%
diff --git a/tutorials/data/NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr b/tutorials/data/NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr
deleted file mode 100644
index c09e52af..00000000
--- a/tutorials/data/NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr
+++ /dev/null
@@ -1,5037 +0,0 @@
-#      15707
-#     file:    PDF/NOM_9999_Si_640g_PAC_50_ff_ftfrgr.gr
-#     created: Wed Mar 26 11:23:49 2025
-#
-    0.0100000    -0.036333305
-    0.0200000    -0.069882303
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diff --git a/tutorials/data/NaCl.gr b/tutorials/data/NaCl.gr
deleted file mode 100644
index b7defc50..00000000
--- a/tutorials/data/NaCl.gr
+++ /dev/null
@@ -1,5028 +0,0 @@
-[DEFAULT]
-
-version = pdfgetx3-1.1.post2
-
-# input and output specifications
-dataformat = twotheta
-inputfile = NaCl_ramp01_10f_200ms_0973.chi
-backgroundfile =
-outputtype = gr
-
-# PDF calculation setup
-mode = xray
-wavelength = 0.21281
-composition = NaCl
-bgscale = 1
-rpoly = 0.7
-qmaxinst = 23
-qmin = 0.01
-qmax = 21
-rmin = 0.01
-rmax = 50
-rstep = 0.01
-
-# End of config --------------------------------------------------------------
-
-#### start data
-#S 1
-#L r($\AA$)  G($\AA^{-2}$)
-0.01 0.00100824
-0.02 0.00203904
-0.03 0.00310876
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diff --git a/tutorials/data/co2sio4_d20.xye b/tutorials/data/co2sio4_d20.xye
deleted file mode 100644
index b0c30c5d..00000000
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diff --git a/tutorials/data/d1a_pbso4.dat b/tutorials/data/d1a_pbso4.dat
deleted file mode 100644
index 5e389116..00000000
--- a/tutorials/data/d1a_pbso4.dat
+++ /dev/null
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diff --git a/tutorials/data/d1a_pbso4_first-half.dat b/tutorials/data/d1a_pbso4_first-half.dat
deleted file mode 100644
index 00310507..00000000
--- a/tutorials/data/d1a_pbso4_first-half.dat
+++ /dev/null
@@ -1,1800 +0,0 @@
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diff --git a/tutorials/data/d1a_pbso4_second-half.dat b/tutorials/data/d1a_pbso4_second-half.dat
deleted file mode 100644
index c5308303..00000000
--- a/tutorials/data/d1a_pbso4_second-half.dat
+++ /dev/null
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diff --git a/tutorials/data/hrpt_hs.xye b/tutorials/data/hrpt_hs.xye
deleted file mode 100644
index 7003f14a..00000000
--- a/tutorials/data/hrpt_hs.xye
+++ /dev/null
@@ -1,3220 +0,0 @@
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-  40.450      4444.0        66.0
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-  48.850      3255.0        58.3
-  48.900      4058.0        64.5
-  48.950      4936.0        71.7
-  49.000      5974.0        78.9
-  49.050      6954.0        85.2
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-  49.350      8243.0        93.9
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-  49.500      4853.0        72.0
-  49.550      3695.0        63.4
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-  49.800      1120.0        34.8
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-  50.750       644.0        25.9
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-  85.850      2548.0        49.9
-  85.900      2469.0        49.0
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- 104.900       479.0        21.5
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- 105.000       513.0        22.3
- 105.050       490.0        21.8
- 105.100       514.0        22.3
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- 105.200       542.0        23.0
- 105.250       509.0        22.2
- 105.300       511.0        22.3
- 105.350       497.0        22.0
- 105.400       463.0        21.1
- 105.450       494.0        21.9
- 105.500       488.0        21.8
- 105.550       489.0        21.7
- 105.600       552.0        23.1
- 105.650       504.0        22.1
- 105.700       543.0        22.9
- 105.750       557.0        23.2
- 105.800       548.0        23.0
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- 105.900       557.0        23.2
- 105.950       587.0        23.9
- 106.000       621.0        24.5
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- 106.100       670.0        25.5
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- 106.400       919.0        30.0
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- 106.750      1025.0        32.2
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- 106.850       923.0        30.8
- 106.900       848.0        29.3
- 106.950       856.0        29.6
- 107.000       847.0        29.5
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- 108.850       525.0        22.5
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- 109.100       568.0        23.3
- 109.150       579.0        23.5
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- 109.500       588.0        23.6
- 109.550       554.0        22.9
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- 109.650       599.0        23.9
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- 110.800       599.0        23.9
- 110.850       648.0        24.9
- 110.900       639.0        24.8
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- 111.250      1106.0        32.5
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- 111.350      1284.0        35.2
- 111.400      1377.0        36.3
- 111.450      1428.0        37.0
- 111.500      1451.0        37.5
- 111.550      1485.0        37.8
- 111.600      1503.0        37.9
- 111.650      1453.0        37.5
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- 111.750      1327.0        35.7
- 111.800      1278.0        35.2
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- 111.950      1046.0        31.9
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- 112.150       859.0        28.9
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- 112.250       851.0        28.8
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- 112.400       822.0        28.3
- 112.450       839.0        28.8
- 112.500       868.0        29.0
- 112.550       839.0        28.7
- 112.600       888.0        29.6
- 112.650       868.0        29.2
- 112.700       924.0        30.1
- 112.750       898.0        30.0
- 112.800       960.0        30.7
- 112.850       870.0        29.5
- 112.900       823.0        28.7
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- 113.050       956.0        31.2
- 113.100       861.0        29.4
- 113.150       976.0        31.6
- 113.200      1039.0        32.5
- 113.250      1052.0        32.9
- 113.300      1073.0        33.1
- 113.350      1173.0        34.8
- 113.400      1272.0        36.1
- 113.450      1300.0        36.7
- 113.500      1312.0        36.8
- 113.550      1431.0        38.7
- 113.600      1362.0        37.6
- 113.650      1448.0        38.8
- 113.700      1444.0        38.8
- 113.750      1400.0        38.3
- 113.800      1359.0        37.6
- 113.850      1214.0        35.7
- 113.900      1163.0        34.9
- 113.950      1016.0        32.6
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- 114.100       831.0        29.5
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- 114.350       674.0        26.3
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- 114.500       625.0        25.4
- 114.550       641.0        25.5
- 114.600       612.0        25.0
- 114.650       588.0        24.4
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- 114.750       626.0        24.9
- 114.800       624.0        25.1
- 114.850       676.0        26.0
- 114.900       663.0        25.7
- 114.950       627.0        24.9
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- 115.050       692.0        25.9
- 115.100       697.0        26.2
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- 115.300       774.0        27.5
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- 115.400       739.0        26.8
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- 115.500       743.0        26.7
- 115.550       743.0        26.7
- 115.600       815.0        28.0
- 115.650       820.0        28.0
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- 115.750       824.0        28.1
- 115.800       835.0        28.3
- 115.850       865.0        28.7
- 115.900       898.0        29.3
- 115.950       872.0        28.9
- 116.000       830.0        28.1
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- 116.150       823.0        27.9
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- 116.350       784.0        27.3
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- 116.450       890.0        29.0
- 116.500       815.0        27.8
- 116.550       898.0        29.3
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- 116.700       870.0        28.9
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- 116.800       823.0        27.9
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- 116.950       745.0        26.5
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- 117.150       709.0        26.0
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- 117.500       553.0        23.0
- 117.550       568.0        26.9
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- 117.800       522.0        22.4
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- 119.950       543.0        23.9
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- 162.000       576.0        24.0
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- 162.850       538.0        24.8
- 162.900       610.0        26.4
- 162.950       508.0        24.3
- 163.000       590.0        26.2
- 163.050       581.0        26.0
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- 163.200       560.0        25.6
- 163.250       536.0        25.3
- 163.300       535.0        25.2
- 163.350       548.0        25.6
- 163.400       619.0        27.3
- 163.450       541.0        25.6
- 163.500       532.0        25.3
- 163.550       530.0        25.6
- 163.600       575.0        26.5
- 163.650       552.0        26.0
- 163.700       536.0        25.8
- 163.750       561.0        26.3
- 163.800       517.0        25.2
- 163.850       548.0        25.8
- 163.900       549.0        26.0
- 163.950       544.0        29.9
- 164.000       536.0        25.5
- 164.050       556.0        30.3
- 164.100       604.0        31.6
- 164.150       532.0        29.1
- 164.200       592.0        31.3
- 164.250       558.0        37.2
- 164.300       532.0        29.2
- 164.350       525.0        36.1
- 164.400       533.0        36.3
- 164.450       559.0        36.2
- 164.500       534.0        36.4
- 164.550       484.0        48.6
- 164.600       532.0        35.1
- 164.650       524.0        50.6
- 164.700       624.0        55.2
- 164.750       547.0        48.8
- 164.800       620.0        55.1
- 164.850       599.0        52.6
- 164.900       576.0        49.9
diff --git a/tutorials/data/lab_pbso4.dat b/tutorials/data/lab_pbso4.dat
deleted file mode 100644
index 14a61f9c..00000000
--- a/tutorials/data/lab_pbso4.dat
+++ /dev/null
@@ -1,3601 +0,0 @@
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-       93.4250          499.0000         22.3383
-       93.4500          478.0000         21.8632
-       93.4750          472.0000         21.7256
-       93.5000          383.0000         19.5704
-       93.5250          345.0000         18.5742
-       93.5500          354.0000         18.8149
-       93.5750          352.0000         18.7617
-       93.6000          383.0000         19.5704
-       93.6250          370.0000         19.2354
-       93.6500          410.0000         20.2485
-       93.6750          453.0000         21.2838
-       93.7000          416.0000         20.3961
-       93.7250          396.0000         19.8997
-       93.7500          392.0000         19.7990
-       93.7750          319.0000         17.8606
-       93.8000          335.0000         18.3030
-       93.8250          407.0000         20.1742
-       93.8500          461.0000         21.4709
-       93.8750          587.0000         24.2281
-       93.9000          741.0000         27.2213
-       93.9250          875.0000         29.5804
-       93.9500          863.0000         29.3769
-       93.9750          754.0000         27.4591
-       94.0000          619.0000         24.8797
-       94.0250          485.0000         22.0227
-       94.0500          429.0000         20.7123
-       94.0750          336.0000         18.3303
-       94.1000          321.0000         17.9165
-       94.1250          296.0000         17.2047
-       94.1500          316.0000         17.7764
-       94.1750          385.0000         19.6214
-       94.2000          474.0000         21.7715
-       94.2250          539.0000         23.2164
-       94.2500          571.0000         23.8956
-       94.2750          493.0000         22.2036
-       94.3000          420.0000         20.4939
-       94.3250          345.0000         18.5742
-       94.3500          272.0000         16.4924
-       94.3750          242.0000         15.5563
-       94.4000          219.0000         14.7986
-       94.4250          229.0000         15.1327
-       94.4500          203.0000         14.2478
-       94.4750          220.0000         14.8324
-       94.5000          211.0000         14.5258
-       94.5250          190.0000         13.7840
-       94.5500          171.0000         13.0767
-       94.5750          195.0000         13.9642
-       94.6000          176.0000         13.2665
-       94.6250          218.0000         14.7648
-       94.6500          208.0000         14.4222
-       94.6750          212.0000         14.5602
-       94.7000          230.0000         15.1658
-       94.7250          265.0000         16.2788
-       94.7500          314.0000         17.7200
-       94.7750          278.0000         16.6733
-       94.8000          306.0000         17.4929
-       94.8250          262.0000         16.1864
-       94.8500          281.0000         16.7631
-       94.8750          209.0000         14.4568
-       94.9000          235.0000         15.3297
-       94.9250          222.0000         14.8997
-       94.9500          223.0000         14.9332
-       94.9750          246.0000         15.6844
-       95.0000          268.0000         16.3707
-       95.0250          316.0000         17.7764
-       95.0500          307.0000         17.5214
-       95.0750          316.0000         17.7764
-       95.1000          273.0000         16.5227
-       95.1250          247.0000         15.7162
-       95.1500          229.0000         15.1327
-       95.1750          201.0000         14.1774
-       95.2000          198.0000         14.0712
-       95.2250          173.0000         13.1529
-       95.2500          202.0000         14.2127
-       95.2750          173.0000         13.1529
-       95.3000          212.0000         14.5602
-       95.3250          185.0000         13.6015
-       95.3500          197.0000         14.0357
-       95.3750          193.0000         13.8924
-       95.4000          193.0000         13.8924
-       95.4250          194.0000         13.9284
-       95.4500          169.0000         13.0000
-       95.4750          169.0000         13.0000
-       95.5000          157.0000         12.5300
-       95.5250          167.0000         12.9228
-       95.5500          175.0000         13.2288
-       95.5750          140.0000         11.8322
-       95.6000          174.0000         13.1909
-       95.6250          146.0000         12.0830
-       95.6500          171.0000         13.0767
-       95.6750          142.0000         11.9164
-       95.7000          152.0000         12.3288
-       95.7250          171.0000         13.0767
-       95.7500          150.0000         12.2474
-       95.7750          142.0000         11.9164
-       95.8000          161.0000         12.6886
-       95.8250          150.0000         12.2474
-       95.8500          163.0000         12.7671
-       95.8750          154.0000         12.4097
-       95.9000          149.0000         12.2066
-       95.9250          157.0000         12.5300
-       95.9500          192.0000         13.8564
-       95.9750          185.0000         13.6015
-       96.0000          184.0000         13.5647
-       96.0250          205.0000         14.3178
-       96.0500          231.0000         15.1987
-       96.0750          238.0000         15.4272
-       96.1000          263.0000         16.2173
-       96.1250          324.0000         18.0000
-       96.1500          365.0000         19.1050
-       96.1750          388.0000         19.6977
-       96.2000          380.0000         19.4936
-       96.2250          421.0000         20.5183
-       96.2500          418.0000         20.4450
-       96.2750          408.0000         20.1990
-       96.3000          385.0000         19.6214
-       96.3250          374.0000         19.3391
-       96.3500          346.0000         18.6011
-       96.3750          329.0000         18.1384
-       96.4000          297.0000         17.2337
-       96.4250          319.0000         17.8606
-       96.4500          322.0000         17.9444
-       96.4750          328.0000         18.1108
-       96.5000          298.0000         17.2627
-       96.5250          290.0000         17.0294
-       96.5500          304.0000         17.4356
-       96.5750          311.0000         17.6352
-       96.6000          312.0000         17.6635
-       96.6250          319.0000         17.8606
-       96.6500          292.0000         17.0880
-       96.6750          241.0000         15.5242
-       96.7000          239.0000         15.4596
-       96.7250          202.0000         14.2127
-       96.7500          206.0000         14.3527
-       96.7750          202.0000         14.2127
-       96.8000          227.0000         15.0665
-       96.8250          236.0000         15.3623
-       96.8500          307.0000         17.5214
-       96.8750          309.0000         17.5784
-       96.9000          385.0000         19.6214
-       96.9250          341.0000         18.4662
-       96.9500          324.0000         18.0000
-       96.9750          290.0000         17.0294
-       97.0000          208.0000         14.4222
-       97.0250          241.0000         15.5242
-       97.0500          201.0000         14.1774
-       97.0750          202.0000         14.2127
-       97.1000          181.0000         13.4536
-       97.1250          217.0000         14.7309
-       97.1500          264.0000         16.2481
-       97.1750          229.0000         15.1327
-       97.2000          326.0000         18.0555
-       97.2250          303.0000         17.4069
-       97.2500          345.0000         18.5742
-       97.2750          304.0000         17.4356
-       97.3000          296.0000         17.2047
-       97.3250          241.0000         15.5242
-       97.3500          242.0000         15.5563
-       97.3750          210.0000         14.4914
-       97.4000          187.0000         13.6748
-       97.4250          206.0000         14.3527
-       97.4500          194.0000         13.9284
-       97.4750          221.0000         14.8661
-       97.5000          216.0000         14.6969
-       97.5250          245.0000         15.6525
-       97.5500          242.0000         15.5563
-       97.5750          251.0000         15.8430
-       97.6000          258.0000         16.0624
-       97.6250          232.0000         15.2315
-       97.6500          215.0000         14.6629
-       97.6750          189.0000         13.7477
-       97.7000          192.0000         13.8564
-       97.7250          163.0000         12.7671
-       97.7500          158.0000         12.5698
-       97.7750          162.0000         12.7279
-       97.8000          174.0000         13.1909
-       97.8250          182.0000         13.4907
-       97.8500          169.0000         13.0000
-       97.8750          151.0000         12.2882
-       97.9000          187.0000         13.6748
-       97.9250          179.0000         13.3791
-       97.9500          167.0000         12.9228
-       97.9750          169.0000         13.0000
-       98.0000          146.0000         12.0830
-       98.0250          149.0000         12.2066
-       98.0500          146.0000         12.0830
-       98.0750          158.0000         12.5698
-       98.1000          142.0000         11.9164
-       98.1250          164.0000         12.8062
-       98.1500          142.0000         11.9164
-       98.1750          153.0000         12.3693
-       98.2000          147.0000         12.1244
-       98.2250          163.0000         12.7671
-       98.2500          160.0000         12.6491
-       98.2750          163.0000         12.7671
-       98.3000          127.0000         11.2694
-       98.3250          150.0000         12.2474
-       98.3500          159.0000         12.6095
-       98.3750          140.0000         11.8322
-       98.4000          136.0000         11.6619
-       98.4250          159.0000         12.6095
-       98.4500          171.0000         13.0767
-       98.4750          178.0000         13.3417
-       98.5000          159.0000         12.6095
-       98.5250          162.0000         12.7279
-       98.5500          193.0000         13.8924
-       98.5750          156.0000         12.4900
-       98.6000          176.0000         13.2665
-       98.6250          161.0000         12.6886
-       98.6500          155.0000         12.4499
-       98.6750          146.0000         12.0830
-       98.7000          179.0000         13.3791
-       98.7250          208.0000         14.4222
-       98.7500          186.0000         13.6382
-       98.7750          194.0000         13.9284
-       98.8000          252.0000         15.8745
-       98.8250          230.0000         15.1658
-       98.8500          219.0000         14.7986
-       98.8750          182.0000         13.4907
-       98.9000          179.0000         13.3791
-       98.9250          174.0000         13.1909
-       98.9500          147.0000         12.1244
-       98.9750          189.0000         13.7477
-       99.0000          166.0000         12.8841
-       99.0250          142.0000         11.9164
-       99.0500          144.0000         12.0000
-       99.0750          177.0000         13.3041
-       99.1000          178.0000         13.3417
-       99.1250          215.0000         14.6629
-       99.1500          182.0000         13.4907
-       99.1750          160.0000         12.6491
-       99.2000          196.0000         14.0000
-       99.2250          200.0000         14.1421
-       99.2500          159.0000         12.6095
-       99.2750          163.0000         12.7671
-       99.3000          150.0000         12.2474
-       99.3250          175.0000         13.2288
-       99.3500          144.0000         12.0000
-       99.3750          132.0000         11.4891
-       99.4000          160.0000         12.6491
-       99.4250          169.0000         13.0000
-       99.4500          138.0000         11.7473
-       99.4750          171.0000         13.0767
-       99.5000          129.0000         11.3578
-       99.5250          167.0000         12.9228
-       99.5500          172.0000         13.1149
-       99.5750          135.0000         11.6189
-       99.6000          170.0000         13.0384
-       99.6250          172.0000         13.1149
-       99.6500          169.0000         13.0000
-       99.6750          199.0000         14.1067
-       99.7000          221.0000         14.8661
-       99.7250          233.0000         15.2643
-       99.7500          283.0000         16.8226
-       99.7750          291.0000         17.0587
-       99.8000          299.0000         17.2916
-       99.8250          257.0000         16.0312
-       99.8500          239.0000         15.4596
-       99.8750          226.0000         15.0333
-       99.9000          185.0000         13.6015
-       99.9250          195.0000         13.9642
-       99.9500          194.0000         13.9284
-       99.9750          175.0000         13.2288
-      100.0000          192.0000         13.8564
diff --git a/tutorials/data/mcstas_lbco-si.xye b/tutorials/data/mcstas_lbco-si.xye
deleted file mode 100644
index dfbdffe8..00000000
--- a/tutorials/data/mcstas_lbco-si.xye
+++ /dev/null
@@ -1,1002 +0,0 @@
-# DIFC = 58736.09443990583 [µ/Å] L = 157.66511528266744 [m] two_theta = 94.93340423102556 [deg]
-# tof [µs]               Y [counts]               E [counts]
-4.116812859292999201e+04 2.153710746931005171e-01 2.485114069864158629e-02
-4.127385356292182405e+04 2.608731253560512831e-01 3.329888041963863926e-02
-4.137957853291364881e+04 3.043368615904640806e-01 3.547087591788450345e-02
-4.148530350290548085e+04 4.736670804811050073e-01 4.206283617542717901e-02
-4.159102847289731289e+04 6.002651986502521853e-01 4.196647994561224920e-02
-4.169675344288914494e+04 6.017448324066868581e-01 3.965186271654011496e-02
-4.180247841288097698e+04 5.011825843970607597e-01 3.810348675822586295e-02
-4.190820338287280174e+04 3.770226414883808830e-01 3.458905645764303455e-02
-4.201392835286463378e+04 2.753318277463203678e-01 3.190950665975840483e-02
-4.211965332285646582e+04 2.618231130009330276e-01 2.830042526454298185e-02
-4.222537829284829786e+04 2.928088563756663376e-01 3.145301661570625018e-02
-4.233110326284012262e+04 3.578142823373394177e-01 4.155932289601068502e-02
-4.243682823283195467e+04 3.769179959521566370e-01 3.849597975143188855e-02
-4.254255320282378671e+04 4.158391911279324393e-01 4.449771134056958177e-02
-4.264827817281561875e+04 3.779803744828383327e-01 4.193951997252232111e-02
-4.275400314280745079e+04 3.198893594846607957e-01 3.309901263703583785e-02
-4.285972811279928283e+04 2.658741522251843459e-01 2.855729616760260825e-02
-4.296545308279110759e+04 2.573176035624888947e-01 3.093264002198454002e-02
-4.307117805278293963e+04 2.577564704480500013e-01 2.793004132928919581e-02
-4.317690302277477167e+04 2.436818233779233789e-01 2.633848204890042871e-02
-4.328262799276660371e+04 2.292366928663013004e-01 2.670909544346710199e-02
-4.338835296275842848e+04 2.509718661544597107e-01 2.812685157678675857e-02
-4.349407793275026052e+04 2.520164318371221901e-01 2.840260670459381076e-02
-4.359980290274209256e+04 2.966280574563536221e-01 2.933221528558389857e-02
-4.370552787273392460e+04 5.917885671986631291e-01 4.715812670168278986e-02
-4.381125284272575664e+04 1.128510510097429753e+00 6.592621547237847990e-02
-4.391697781271758140e+04 1.134676835970059416e+00 5.575804856372774260e-02
-4.402270278270941344e+04 8.777986080928671386e-01 4.135430851512232608e-02
-4.412842775270124548e+04 5.660575761924040439e-01 3.186612578727112538e-02
-4.423415272269307752e+04 3.978815799809931053e-01 2.999555575290682383e-02
-4.433987769268490229e+04 2.767054054920717876e-01 2.831555763835678571e-02
-4.444560266267673433e+04 3.725751083717299128e-01 3.306140498413820406e-02
-4.455132763266856637e+04 5.620474590198114573e-01 3.747912960742691424e-02
-4.465705260266039841e+04 8.794032862318595933e-01 4.339597485143953381e-02
-4.476277757265223045e+04 1.049733673425403024e+00 4.470369284474142585e-02
-4.486850254264405521e+04 8.065912472297915858e-01 3.562084390842406439e-02
-4.497422751263588725e+04 5.838432924396242951e-01 3.171070339140553973e-02
-4.507995248262771929e+04 3.754946792436575920e-01 2.585913508481106626e-02
-4.518567745261955133e+04 3.223595345777620635e-01 2.872205216524737273e-02
-4.529140242261137610e+04 2.586153666396504569e-01 2.514014802920313055e-02
-4.539712739260320814e+04 2.653946194115984203e-01 2.506320120119176834e-02
-4.550285236259504018e+04 3.204047378434953242e-01 3.374661251894776198e-02
-4.560857733258687222e+04 2.951144619245948397e-01 2.703262344951972915e-02
-4.571430230257870426e+04 3.108126736372315291e-01 2.683275683619879698e-02
-4.582002727257052902e+04 2.586610723515629373e-01 2.363213831492192926e-02
-4.592575224256236106e+04 2.953395370430179634e-01 2.502299927193591539e-02
-4.603147721255419310e+04 3.026068399569262768e-01 2.666410003952783894e-02
-4.613720218254602514e+04 3.903729423138836974e-01 4.433754393616119727e-02
-4.624292715253785718e+04 3.378836691835625516e-01 3.236157093051930667e-02
-4.634865212252968195e+04 7.252934849637189263e-01 6.077502775372350952e-02
-4.645437709252151399e+04 1.444078091575856426e+00 8.695420663068247069e-02
-4.656010206251334603e+04 2.160799078436518972e+00 1.058313665320170238e-01
-4.666582703250517807e+04 2.048563565799041530e+00 9.242447066920182752e-02
-4.677155200249701011e+04 1.282381284886184858e+00 5.868380667032114389e-02
-4.687727697248883487e+04 5.866001925346094881e-01 3.394969722869588952e-02
-4.698300194248066691e+04 3.739496315689567196e-01 2.685663276171922423e-02
-4.708872691247249895e+04 3.121051489047478866e-01 2.469331623046316232e-02
-4.719445188246433099e+04 2.630577114198744404e-01 2.288312367098122024e-02
-4.730017685245615576e+04 2.723258006960146971e-01 2.341727581514723919e-02
-4.740590182244798780e+04 2.412913354834822499e-01 2.147243362812975218e-02
-4.751162679243981984e+04 2.523896954981822982e-01 2.318341377024033326e-02
-4.761735176243165188e+04 2.184825433916667559e-01 1.920620904244086172e-02
-4.772307673242348392e+04 2.718324481106246804e-01 2.709558555661976953e-02
-4.782880170241530868e+04 2.628702244172894109e-01 2.161559381449554978e-02
-4.793452667240714072e+04 2.915223352375253540e-01 2.580408739341092175e-02
-4.804025164239897276e+04 2.530127940493845928e-01 2.138592736343572151e-02
-4.814597661239080480e+04 2.296839766414642825e-01 2.172373342743272664e-02
-4.825170158238262957e+04 2.630428626295486794e-01 2.133630588335756403e-02
-4.835742655237446161e+04 3.301884295987274065e-01 2.417924467260626833e-02
-4.846315152236629365e+04 3.695739281579626945e-01 2.295722673016692764e-02
-4.856887649235812569e+04 4.968789872605733904e-01 2.344131668866666560e-02
-4.867460146234995773e+04 5.483382902045680352e-01 2.325019238751704909e-02
-4.878032643234178249e+04 5.327191627479830327e-01 2.385465602729653842e-02
-4.888605140233361453e+04 4.183505548474412139e-01 2.212000839498857660e-02
-4.899177637232544657e+04 2.822691967721844830e-01 1.967979342239069285e-02
-4.909750134231727861e+04 2.866173486109942492e-01 2.136233932695521393e-02
-4.920322631230911065e+04 2.522132411861770507e-01 2.034966938360983219e-02
-4.930895128230093542e+04 2.488703826341970571e-01 1.955887366173672537e-02
-4.941467625229276746e+04 2.448078436988982698e-01 1.959869374087079216e-02
-4.952040122228459950e+04 2.601371397266339369e-01 2.587688364710211478e-02
-4.962612619227643154e+04 2.604647821395448815e-01 1.890954890145047154e-02
-4.973185116226825630e+04 3.113392816636900151e-01 2.192317175306443197e-02
-4.983757613226008834e+04 2.829567596015400421e-01 1.827207039423774798e-02
-4.994330110225192038e+04 3.214703596991227985e-01 2.233293022269595973e-02
-5.004902607224375242e+04 2.967639647355652666e-01 2.135032154107910710e-02
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diff --git a/tutorials/data/ni-q27r100-neutron_from-2.gr b/tutorials/data/ni-q27r100-neutron_from-2.gr
deleted file mode 100644
index 3b17aade..00000000
--- a/tutorials/data/ni-q27r100-neutron_from-2.gr
+++ /dev/null
@@ -1,9853 +0,0 @@
-# History written: Tue May  6 11:04:33 2008
-# produced by bozin
-# ##### Run Information     runCorrection=T
-# prep=gsas     machine=npdf
-# run=npdf_03315     background=npdf_03001
-# smooth=2    smoothParam=32 32 0    backKillThresh=-1.0
-# in beam: radius=0.45325     height=4.5
-# temp=300     runTitle=Run 3315: Ni commercial, RT_stick
-#
-# ##### Vanadium     runCorrection=T
-# run=npdf_03000     background=npdf_03001
-# smooth=2    smoothParam=32 32 0    vanKillThresh=-1.0    vBackKillThresh=-1.0
-# in beam: radius=0.47625     height=4.5
-#
-# ##### Container     runCorrection=T
-# run=npdf_03002     background=npdf_03001
-# smooth=2    smoothParam=32 32 0    cBackKillThresh=-1.0
-# wallThick=0.023     atomDensity=0.072110
-# atomic information: scattCS=5.100     absorpCS=5.080
-#
-# ##### Sample Material     numElements=1     NormLaue=0.00000
-# Element relAtomNum atomMass atomCoherCS atomIncoherCS atomAbsorpCS
-#   Ni        1.0000   58.693     13.3000        5.2000      4.49000
-# density=7.0     effDensity=2.8777
-#
-# ##### Banks=4  deltaQ=0.01  matchRef=0  matchScal=T  matchOffset=T
-# bank   angle   blendQmin   blendQmax       (0.0 means no info)
-#   1     46.6        0.87    21.63
-#   2     90.0        1.51    37.66
-#   3    119.0        1.84    45.96
-#   4    148.0        2.05    51.25
-#
-# ##### Program Specific Information
-# ## Ft     calcError=1     (1 for true, 0 for false)
-# numRpoints=10000     maxR=100.0     numDensity=0.0   intMaxR=1.5
-# ## Damp     Qmin=0.87     Qmax=27.0     startDampQ=27.0    QAveMin=0.6
-# dampFuncType=0     modEqn=1.0000*S(Q) +0.0000 +0.0000*Q     dampExtraToZero=0
-# ## Blend     numBanks=4     banks=1,2,3,4
-# soqCorrFile=
-# ## Soqd     minProcOut=0
-# samPlazcek=1     vanPlazcek=1     smoothData=0     modifyData=1
-# ## Corps     minProcOut=0     numBanksMiss=0
-#
-# ##### prepgsas     prepOutput=1     numBanksMiss=0       fileExt=gsa
-# instParamFile=npdf_TL-displex_2018.iparm
-# numBanksAdd=0
-# numBanksMult=0
-##### start data
-#O0 rg_int sig_rg_int low_int sig_low_int rmax rhofit
-#S 1 - PDF from PDFgetN
-#P0  -68.04163   47.30471    0.14884    0.13136    1.50  0.1091
-#L r G(r) dr dG(r)
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diff --git a/tutorials/data/sepd_si.xye b/tutorials/data/sepd_si.xye
deleted file mode 100644
index e2328beb..00000000
--- a/tutorials/data/sepd_si.xye
+++ /dev/null
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diff --git a/tutorials/data/wish_ncaf_5_6.xys b/tutorials/data/wish_ncaf_5_6.xys
deleted file mode 100644
index 9ee4f514..00000000
--- a/tutorials/data/wish_ncaf_5_6.xys
+++ /dev/null
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-    95353.2266          271.1156         17.7155
-    95414.6797          264.7986         17.6213
-    95476.1797          279.3500         18.1447
-    95537.7266          265.8787         17.6825
-    95599.3047          255.6431         17.3634
-    95660.9219          274.0182         17.9837
-    95722.5781          266.5771         17.7391
-    95784.2812          245.8515         17.0786
-    95846.0156          278.0469         18.2313
-    95907.7969          267.7524         17.9095
-    95969.6094          255.7690         17.4945
-    96031.4688          273.6458         18.1141
-    96093.3672          265.9035         17.8206
-    96155.3047          269.4383         18.0127
-    96217.2812          268.7639         18.0327
-    96279.2969          265.9274         17.8930
-    96341.3594          273.4120         18.2093
-    96403.4531          287.2242         18.7535
-    96465.5938          246.7943         17.4230
-    96527.7656          241.1776         17.1570
-    96589.9844          257.1521         17.7795
-    96652.2422          258.7235         17.9176
-    96714.5391          266.8317         18.2035
-    96776.8828          280.8885         18.6985
-    96839.2578          267.6420         18.2332
-    96901.6719          280.4637         18.7072
-    96964.1328          261.0558         18.0589
-    97026.6328          261.1298         18.0752
-    97089.1719          275.8836         18.5782
-    97151.7500          281.7576         18.7379
-    97214.3672          268.4265         18.3075
-    97277.0313          233.9308         17.1777
-    97339.7344          264.6630         18.3381
-    97402.4688          270.4955         18.5801
-    97465.2500          282.2752         18.9629
-    97528.0781          260.4120         18.2225
-    97590.9375          258.8930         18.2190
-    97653.8359          274.8491         18.9883
-    97716.7812          287.5186         19.5616
-    97779.7656          269.8541         19.0872
-    97842.7891          256.5622         18.8037
-    97905.8594          265.6983         19.3508
-    97968.9609          265.1781         19.4895
-    98032.1094          276.9889         20.1346
-    98095.2969          257.4734         19.6470
-    98158.5234          268.2968         20.2032
-    98221.7891          273.1878         20.7136
-    98285.1016          253.9707         20.1526
-    98348.4531          249.7314         20.1590
-    98411.8438          273.4920         21.2802
-    98475.2734          277.8152         21.6915
-    98538.7500          264.7870         21.4379
-    98602.2578          266.6172         21.7063
-    98665.8125          253.9033         21.4150
-    98729.4062          250.7668         21.4684
-    98793.0469          267.3593         22.3574
-    98856.7266          285.4277         23.3759
-    98920.4453          253.0699         22.3776
-    98984.2031          283.9312         23.8306
-    99048.0000          280.0121         23.8403
-    99111.8438          276.6949         23.8697
-    99175.7266          259.8979         23.4103
-    99239.6484          259.9278         23.6931
-    99303.6172          262.0354         24.0833
-    99367.6250          222.6518         22.4209
-    99431.6719          263.2142         24.5074
-    99495.7578          273.6101         25.4260
-    99559.8906          253.7388         24.6942
-    99624.0625          245.6422         24.4406
-    99688.2734          270.6448         25.9247
-    99752.5312          275.6089         26.5067
-    99816.8281          290.3733         27.4921
-    99881.1641          287.8034         27.7908
-    99945.5469          297.9274         28.5467
-   100009.9609          291.4879         28.4384
-   100074.4219          241.4617         26.1490
-   100138.9297          238.2191         26.2934
-   100203.4766          293.0373         29.4548
-   100268.0625          274.0306         28.8650
-   100332.6875          313.3416         31.1375
-   100397.3594          309.2204         31.3359
-   100462.0703          232.3197         27.4522
-   100526.8203          239.4952         28.2959
-   100591.6172          292.2198         31.5858
-   100656.4531          273.2672         30.8956
-   100721.3359          259.1143         30.4764
-   100786.2578          283.3175         32.2552
-   100851.2188          223.4644         28.9759
-   100916.2188          244.7965         30.6918
-   100981.2656          266.5239         32.4699
-   101046.3516          210.8135         29.2072
-   101111.4844          213.2726         29.6897
-   101176.6562          264.5497         33.5365
-   101241.8672          281.9417         34.9006
-   101307.1250          285.3889         35.8267
-   101372.4219          256.9947         34.3933
-   101437.7656          226.4300         32.7722
-   101503.1484          238.3564         34.1774
-   101568.5703          266.3872         36.7541
-   101634.0391          298.2455         39.3956
-   101699.5469          239.2493         35.9287
-   101765.0938          279.4549         39.5351
-   101830.6875          259.5191         38.6391
-   101896.3281          261.5775         39.3712
-   101962.0000          275.5967         41.1568
-   102027.7266          303.0032         44.1060
-   102093.4844          321.8369         46.0687
-   102159.2891          275.0431         43.4319
-   102225.1406          323.5964         47.9305
-   102291.0312          234.5657         41.8173
-   102356.9609          211.4597         40.2662
-   102422.9375          272.8645         46.8413
-   102488.9531          312.6512         51.2748
-   102555.0078          296.1866         50.9127
-   102621.1172          228.7904         45.7348
-   102687.2578          257.5543         49.8439
-   102753.4453          281.7373         53.3054
-   102819.6797          268.8907         53.3928
-   102885.9453          264.5624         54.4393
-   102952.2656          206.7357         49.5480
-   103018.6250          236.0383         54.7682
-   103085.0234          275.0726         60.9784
-   103151.4688          214.1879         55.6753
-   103217.9531          256.2118         62.8255
-   103284.4844          323.8723         73.0822
-   103351.0547          242.3825         65.7363
-   103417.6719          277.6662         73.8374
diff --git a/tutorials/dmsc-summer-school-2025_analysis-powder-diffraction.py b/tutorials/dmsc-summer-school-2025_analysis-powder-diffraction.py
index 7cd784ad..fe8efa23 100644
--- a/tutorials/dmsc-summer-school-2025_analysis-powder-diffraction.py
+++ b/tutorials/dmsc-summer-school-2025_analysis-powder-diffraction.py
@@ -92,20 +92,20 @@
 # workflow.
 
 # %%
-dir_path = 'data'
+data_dir = 'data'
 file_name = 'reduced_Si.xye'
-si_xye_path = f'{dir_path}/{file_name}'
+si_xye_path = f'{data_dir}/{file_name}'
 
 # %% [markdown]
 # Uncomment the following cell if your data reduction failed and the
 # reduced data file is missing. In this case, you can download our
 # pre-generated reduced data file from the EasyDiffraction repository.
-# The `download_from_repository` function will not overwrite an existing
-# file unless you set `overwrite=True`, so it's safe to run even if the
+# The `download_data` function will not overwrite an existing file
+# unless you set `overwrite=True`, so it's safe to run even if the
 # file is already present.
 
 # %%
-ed.download_from_repository(file_name, destination=dir_path)
+si_xye_path = ed.download_data(id=17, destination=data_dir)
 
 # %% [markdown]
 # Now we can create the experiment and load the measured data. In this
@@ -120,7 +120,7 @@
 # for more details about different types of experiments.
 
 # %%
-project_1.experiments.add_from_data_path(
+project_1.experiments.add(
     name='sim_si',
     data_path=si_xye_path,
     sample_form='powder',
@@ -154,7 +154,9 @@
 # for more details about setting the plotting engine.
 
 # %%
-project_1.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
 
 # %%
 project_1.plot_meas(expt_name='sim_si')
@@ -183,8 +185,8 @@
 # for more details about excluding regions from the measured data.
 
 # %%
-project_1.experiments['sim_si'].excluded_regions.add(start=0, end=55000)
-project_1.experiments['sim_si'].excluded_regions.add(start=105500, end=200000)
+project_1.experiments['sim_si'].excluded_regions.add(id='1', start=0, end=55000)
+project_1.experiments['sim_si'].excluded_regions.add(id='2', start=105500, end=200000)
 
 # %% [markdown]
 # To visualize the effect of excluding the high TOF region, we can plot
@@ -353,13 +355,13 @@
 
 # %%
 project_1.experiments['sim_si'].background_type = 'line-segment'
-project_1.experiments['sim_si'].background.add(x=50000, y=0.01)
-project_1.experiments['sim_si'].background.add(x=60000, y=0.01)
-project_1.experiments['sim_si'].background.add(x=70000, y=0.01)
-project_1.experiments['sim_si'].background.add(x=80000, y=0.01)
-project_1.experiments['sim_si'].background.add(x=90000, y=0.01)
-project_1.experiments['sim_si'].background.add(x=100000, y=0.01)
-project_1.experiments['sim_si'].background.add(x=110000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='1', x=50000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='2', x=60000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='3', x=70000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='4', x=80000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='5', x=90000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='6', x=100000, y=0.01)
+project_1.experiments['sim_si'].background.add(id='7', x=110000, y=0.01)
 
 # %% [markdown]
 # ### 🧩 Create a Sample Model – Si
@@ -742,15 +744,15 @@
 # **Solution:**
 
 # %% tags=["solution", "hide-input"]
-dir_path = 'data'
+data_dir = 'data'
 file_name = 'reduced_LBCO.xye'
-lbco_xye_path = f'{dir_path}/{file_name}'
+lbco_xye_path = f'{data_dir}/{file_name}'
 
 # Uncomment the following line if your data reduction failed and the
 # reduced data file is missing.
-ed.download_from_repository(file_name, destination=dir_path)
+lbco_xye_path = ed.download_data(id=18, destination=data_dir)
 
-project_2.experiments.add_from_data_path(
+project_2.experiments.add(
     name='sim_lbco',
     data_path=lbco_xye_path,
     sample_form='powder',
@@ -778,11 +780,10 @@
 # **Solution:**
 
 # %% tags=["solution", "hide-input"]
-project_2.plotter.engine = 'plotly'
 project_2.plot_meas(expt_name='sim_lbco')
 
-project_2.experiments['sim_lbco'].excluded_regions.add(start=0, end=55000)
-project_2.experiments['sim_lbco'].excluded_regions.add(start=105500, end=200000)
+project_2.experiments['sim_lbco'].excluded_regions.add(id='1', start=0, end=55000)
+project_2.experiments['sim_lbco'].excluded_regions.add(id='2', start=105500, end=200000)
 
 project_2.plot_meas(expt_name='sim_lbco')
 
@@ -830,7 +831,7 @@
 # %% tags=["solution", "hide-input"]
 # # Create a reference to the peak profile parameters from the Si
 sim_si_peak = project_1.experiments['sim_si'].peak
-project_2.peak_profile_type = 'pseudo-voigt * ikeda-carpenter'
+project_2.experiments['sim_lbco'].peak_profile_type = 'pseudo-voigt * ikeda-carpenter'
 project_2.experiments['sim_lbco'].peak.broad_gauss_sigma_0 = sim_si_peak.broad_gauss_sigma_0.value
 project_2.experiments['sim_lbco'].peak.broad_gauss_sigma_1 = sim_si_peak.broad_gauss_sigma_1.value
 project_2.experiments['sim_lbco'].peak.broad_gauss_sigma_2 = sim_si_peak.broad_gauss_sigma_2.value
@@ -859,13 +860,13 @@
 
 # %% tags=["solution", "hide-input"]
 project_2.experiments['sim_lbco'].background_type = 'line-segment'
-project_2.experiments['sim_lbco'].background.add(x=50000, y=0.2)
-project_2.experiments['sim_lbco'].background.add(x=60000, y=0.2)
-project_2.experiments['sim_lbco'].background.add(x=70000, y=0.2)
-project_2.experiments['sim_lbco'].background.add(x=80000, y=0.2)
-project_2.experiments['sim_lbco'].background.add(x=90000, y=0.2)
-project_2.experiments['sim_lbco'].background.add(x=100000, y=0.2)
-project_2.experiments['sim_lbco'].background.add(x=110000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='1', x=50000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='2', x=60000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='3', x=70000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='4', x=80000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='5', x=90000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='6', x=100000, y=0.2)
+project_2.experiments['sim_lbco'].background.add(id='7', x=110000, y=0.2)
 
 # %% [markdown]
 # ### 🧩 Exercise 3: Define a Sample Model – LBCO
diff --git a/tutorials/pdf_pd-neut-cwl_Ni.py b/tutorials/pdf_pd-neut-cwl_Ni.py
index 68569520..e9c3e796 100644
--- a/tutorials/pdf_pd-neut-cwl_Ni.py
+++ b/tutorials/pdf_pd-neut-cwl_Ni.py
@@ -20,12 +20,6 @@
 # %%
 project = ed.Project()
 
-# %% [markdown]
-# ## Set Plotting Engine
-
-# %%
-project.plotter.engine = 'plotly'
-
 # %% [markdown]
 # ## Add Sample Model
 
@@ -50,12 +44,12 @@
 # ## Add Experiment
 
 # %%
-ed.download_from_repository('ni-q27r100-neutron_from-2.gr', destination='data')
+data_path = ed.download_data(id=6, destination='data')
 
 # %%
-project.experiments.add_from_data_path(
+project.experiments.add(
     name='pdf',
-    data_path='data/ni-q27r100-neutron_from-2.gr',
+    data_path=data_path,
     sample_form='powder',
     beam_mode='constant wavelength',
     radiation_probe='neutron',
diff --git a/tutorials/pdf_pd-neut-tof_Si-NOMAD.py b/tutorials/pdf_pd-neut-tof_Si-NOMAD.py
index d35062f9..92c378bb 100644
--- a/tutorials/pdf_pd-neut-tof_Si-NOMAD.py
+++ b/tutorials/pdf_pd-neut-tof_Si-NOMAD.py
@@ -21,7 +21,12 @@
 # ## Set Plotting Engine
 
 # %%
-project.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
+
+# %%
+# Set global plot range for plots
 project.plotter.x_max = 40
 
 # %% [markdown]
@@ -49,12 +54,12 @@
 # ## Add Experiment
 
 # %%
-ed.download_from_repository('NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr', destination='data')
+data_path = ed.download_data(id=5, destination='data')
 
 # %%
-project.experiments.add_from_data_path(
+project.experiments.add(
     name='nomad',
-    data_path='data/NOM_9999_Si_640g_PAC_50_ff_ftfrgr_up-to-50.gr',
+    data_path=data_path,
     sample_form='powder',
     beam_mode='time-of-flight',
     radiation_probe='neutron',
diff --git a/tutorials/pdf_pd-xray_NaCl.py b/tutorials/pdf_pd-xray_NaCl.py
index a650129c..45e4739d 100644
--- a/tutorials/pdf_pd-xray_NaCl.py
+++ b/tutorials/pdf_pd-xray_NaCl.py
@@ -24,7 +24,12 @@
 # ## Set Plotting Engine
 
 # %%
-project.plotter.engine = 'plotly'
+# Keep the auto-selected engine. Alternatively, you can uncomment the
+# line below to explicitly set the engine to the required one.
+# project.plotter.engine = 'plotly'
+
+# %%
+# Set global plot range for plots
 project.plotter.x_min = 2.0
 project.plotter.x_max = 30.0
 
@@ -39,7 +44,13 @@
 project.sample_models['nacl'].space_group.it_coordinate_system_code = '1'
 project.sample_models['nacl'].cell.length_a = 5.62
 project.sample_models['nacl'].atom_sites.add(
-    label='Na', type_symbol='Na', fract_x=0, fract_y=0, fract_z=0, wyckoff_letter='a', b_iso=1.0
+    label='Na',
+    type_symbol='Na',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=1.0,
 )
 project.sample_models['nacl'].atom_sites.add(
     label='Cl',
@@ -55,12 +66,12 @@
 # ## Add Experiment
 
 # %%
-ed.download_from_repository('NaCl.gr', destination='data')
+data_path = ed.download_data(id=4, destination='data')
 
 # %%
-project.experiments.add_from_data_path(
+project.experiments.add(
     name='xray_pdf',
-    data_path='data/NaCl.gr',
+    data_path=data_path,
     sample_form='powder',
     beam_mode='constant wavelength',
     radiation_probe='xray',
diff --git a/tutorials/quick_from-cif_pd-neut-cwl_LBCO-HRPT.py b/tutorials/quick_from-cif_pd-neut-cwl_LBCO-HRPT.py
new file mode 100644
index 00000000..008e50e7
--- /dev/null
+++ b/tutorials/quick_from-cif_pd-neut-cwl_LBCO-HRPT.py
@@ -0,0 +1,73 @@
+# %% [markdown]
+# # Structure Refinement: LBCO, HRPT
+#
+# This minimalistic example is designed to show how Rietveld refinement
+# of a crystal structure can be performed when both the sample model and
+# experiment are defined using CIF files.
+#
+# For this example, constant-wavelength neutron powder diffraction data
+# for La0.5Ba0.5CoO3 from HRPT at PSI is used.
+#
+# It does not contain any advanced features or options, and includes no
+# comments or explanations—these can be found in the other tutorials.
+# Default values are used for all parameters if not specified. Only
+# essential and self-explanatory code is provided.
+#
+# The example is intended for users who are already familiar with the
+# EasyDiffraction library and want to quickly get started with a simple
+# refinement. It is also useful for those who want to see what a
+# refinement might look like in code. For a more detailed explanation of
+# the code, please refer to the other tutorials.
+
+# %% [markdown]
+# ## Import Library
+
+# %%
+import easydiffraction as ed
+
+# %% [markdown]
+# ## Step 1: Define Project
+
+# %%
+# Create minimal project without name and description
+project = ed.Project()
+
+# %% [markdown]
+# ## Step 2: Define Sample Model
+
+# %%
+# Download CIF file from repository
+model_path = ed.download_data(id=1, destination='data')
+
+# %%
+project.sample_models.add(cif_path=model_path)
+
+# %% [markdown]
+# ## Step 3: Define Experiment
+
+# %%
+# Download CIF file from repository
+expt_path = ed.download_data(id=2, destination='data')
+
+# %%
+project.experiments.add(cif_path=expt_path)
+
+# %% [markdown]
+# ## Step 4: Perform Analysis
+
+# %%
+# Start refinement. All parameters, which have standard uncertainties
+# in the input CIF files, are refined by default.
+project.analysis.fit()
+
+# %%
+project.experiments.show_names()
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)
+
+# %% [markdown]
+# #### Step 5: Show Project Summary
+
+# %%
+project.summary.show_report()
diff --git a/tutorials/quick_from-code_pd-neut-cwl_LBCO-HRPT.py b/tutorials/quick_from-code_pd-neut-cwl_LBCO-HRPT.py
new file mode 100644
index 00000000..92c8bd37
--- /dev/null
+++ b/tutorials/quick_from-code_pd-neut-cwl_LBCO-HRPT.py
@@ -0,0 +1,165 @@
+# %% [markdown]
+# # Structure Refinement: LBCO, HRPT
+#
+# This minimalistic example is designed to show how Rietveld refinement
+# of a crystal structure can be performed when both the sample model and
+# experiment are defined directly in code. Only the experimentally
+# measured data is loaded from an external file.
+#
+# For this example, constant-wavelength neutron powder diffraction data
+# for La0.5Ba0.5CoO3 from HRPT at PSI is used.
+#
+# It does not contain any advanced features or options, and includes no
+# comments or explanations—these can be found in the other tutorials.
+# Default values are used for all parameters if not specified. Only
+# essential and self-explanatory code is provided.
+#
+# The example is intended for users who are already familiar with the
+# EasyDiffraction library and want to quickly get started with a simple
+# refinement. It is also useful for those who want to see what a
+# refinement might look like in code. For a more detailed explanation of
+# the code, please refer to the other tutorials.
+
+# %% [markdown]
+# ## Import Library
+
+# %%
+import easydiffraction as ed
+
+# %% [markdown]
+# ## Step 1: Define Project
+
+# %%
+project = ed.Project()
+
+# %% [markdown]
+# ## Step 2: Define Sample Model
+
+# %%
+project.sample_models.add(name='lbco')
+
+# %%
+sample_model = project.sample_models['lbco']
+
+# %%
+sample_model.space_group.name_h_m = 'P m -3 m'
+sample_model.space_group.it_coordinate_system_code = '1'
+
+# %%
+sample_model.cell.length_a = 3.88
+
+# %%
+sample_model.atom_sites.add(
+    label='La',
+    type_symbol='La',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.5,
+    occupancy=0.5,
+)
+sample_model.atom_sites.add(
+    label='Ba',
+    type_symbol='Ba',
+    fract_x=0,
+    fract_y=0,
+    fract_z=0,
+    wyckoff_letter='a',
+    b_iso=0.5,
+    occupancy=0.5,
+)
+sample_model.atom_sites.add(
+    label='Co',
+    type_symbol='Co',
+    fract_x=0.5,
+    fract_y=0.5,
+    fract_z=0.5,
+    wyckoff_letter='b',
+    b_iso=0.5,
+)
+sample_model.atom_sites.add(
+    label='O',
+    type_symbol='O',
+    fract_x=0,
+    fract_y=0.5,
+    fract_z=0.5,
+    wyckoff_letter='c',
+    b_iso=0.5,
+)
+
+# %% [markdown]
+# ## Step 3: Define Experiment
+
+# %%
+data_path = ed.download_data(id=3, destination='data')
+
+# %%
+project.experiments.add(
+    name='hrpt',
+    data_path=data_path,
+    sample_form='powder',
+    beam_mode='constant wavelength',
+    radiation_probe='neutron',
+)
+
+# %%
+experiment = project.experiments['hrpt']
+
+# %%
+experiment.instrument.setup_wavelength = 1.494
+experiment.instrument.calib_twotheta_offset = 0.6
+
+# %%
+experiment.peak.broad_gauss_u = 0.1
+experiment.peak.broad_gauss_v = -0.1
+experiment.peak.broad_gauss_w = 0.1
+experiment.peak.broad_lorentz_y = 0.1
+
+# %%
+experiment.background.add(id='1', x=10, y=170)
+experiment.background.add(id='2', x=30, y=170)
+experiment.background.add(id='3', x=50, y=170)
+experiment.background.add(id='4', x=110, y=170)
+experiment.background.add(id='5', x=165, y=170)
+
+# %%
+experiment.excluded_regions.add(id='1', start=0, end=5)
+experiment.excluded_regions.add(id='2', start=165, end=180)
+
+# %%
+experiment.linked_phases.add(id='lbco', scale=10.0)
+
+# %% [markdown]
+# ## Step 4: Perform Analysis
+
+# %%
+sample_model.cell.length_a.free = True
+
+sample_model.atom_sites['La'].b_iso.free = True
+sample_model.atom_sites['Ba'].b_iso.free = True
+sample_model.atom_sites['Co'].b_iso.free = True
+sample_model.atom_sites['O'].b_iso.free = True
+
+# %%
+experiment.instrument.calib_twotheta_offset.free = True
+
+experiment.peak.broad_gauss_u.free = True
+experiment.peak.broad_gauss_v.free = True
+experiment.peak.broad_gauss_w.free = True
+experiment.peak.broad_lorentz_y.free = True
+
+experiment.background['1'].y.free = True
+experiment.background['2'].y.free = True
+experiment.background['3'].y.free = True
+experiment.background['4'].y.free = True
+experiment.background['5'].y.free = True
+
+experiment.linked_phases['lbco'].scale.free = True
+
+
+# %%
+project.analysis.fit()
+
+# %%
+project.plot_meas_vs_calc(expt_name='hrpt', show_residual=True)