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This is split off from the `find-similar-sources`.
* FIELD, the user-specified field for the entire Observation * gcs_file, the versioned path to the bucket file
Adding in a `photutils.Background2D` during the plate solve.
* Check if object has already been subtracted via `BKGSUB` keyword in FITS header.
* Split the image into separate color channels and for each:
* Using photutils:
* Use a 5-sigma (5 iteration) median filter to mask sources
* Calculate background in default 84x84 block.
* Use a zoom interpolater to construct a full-scale image.
* Save the background to a FITS file and upload to bucket alongside original.
* Subtract the full background (combined color channels) from full data.
* Overwrite original FITS file
* Continue with plate-solving and catalog matching.
* Match the PubSub subscription name for solve-extract-match. * Docker container consistency with python. * Only ack messages on successful solve-extract-match. * Save background with camera bias
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Consolidate the detected sources from each frame into a master observation PSC. This is saved as a CSV file that includes the data (raw counts) as well as some metadata about each detection.
This is being separated from
gce-similar-source-finderand replaces the work in #29.