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LSDB at Stellar Streams in LSST; DESC Dark Matter Workshop 2025

LINCC Frameworks

Demos prepared for the Stellar Streams in LSST; DESC Dark Matter Workshop, 2025, Seattle, WA. The noteboooks showcase working with HATS-partitioned survey catalogs via LSDB, and time domain analysis with nested-pandas.

When and where:

More information at this link

How to ask for help

  • Slack channel
    • Feel free to use #lincc-frameworks-lsdb channel on LSST-DA slack for any questions, bugs, or problems!

Main references

Getting Started

On Rubin Science Platform

Make sure that you have access to the Rubin Science Platform and follow the instructions at lsdb.io/dp1.

For a complete guide to setting up an RSP account and getting custom versions of LSDB available in your notebooks, we've put together a system guide that you might find useful.

On Perlmutter

Make sure that you have access to the Rubin Science Platform and follow the instructions at lsdb.io/dp1.

In this notebook, we will learn how to:

  • Import DASK client
  • Load object and source catalogs (lazily)
  • Show HATS partitioning with ZTF objects and source
  • Perform crossmatching with existing LSDB catalogs
  • Save the results of a science workflow to disk

In this notebook, we will learn:

  • How to access photo-z catalog derived from Rubin’s Data Preview 1 with LSDB

In this notebook, we will learn:

  • What nested pandas is
  • How to do basic operations on timeseries

In this notebook, we will learn how to:

  • Crossmatch custom list of positions
  • Access Object and diaObject data from Rubin DP1
  • Show lightcurves for both Objects and diaObjects

In this notebook, we provide several AGN-related problems:

  • Crossmatch SDSS AGNs with Rubin DP1 photo-z catalog
  • Crossmatch a large catalog of AGN with Rubin DP1 data
  • Run scientific analysis on lightcurves from Rubin DP1

Acknowledgements

This project is supported by Schmidt Sciences.

This project is based upon work supported by the National Science Foundation under Grant No. AST-2003196.

This project acknowledges support from the DIRAC Institute in the Department of Astronomy at the University of Washington. The DIRAC Institute is supported through generous gifts from the Charles and Lisa Simonyi Fund for Arts and Sciences, and the Washington Research Foundation.

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Materials for Stellar Streams in LSST; DESC Dark Matter Workshop

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