FgcmCalibrateTractTableTask#

FgcmCalibrateTractTableTask will run the full fgcmcal processing cycle on a single tract with multi-band coverage. Note that the results will not be as robust as a full global calibration because of the limited ability to track instrumental changes from observations in a single tract. Running FgcmCalibrateTractTableTask requires a look-up table generated by FgcmMakeLutTask.

FgcmCalibrateTractTableTask uses FgcmBuildStarsTableTask to extract stars from sourceTable_visit parquet tables.

Processing summary#

FgcmCalibrateTractTableTask runs the full fgcmcal processing, from building star lists to fitting to the output of final products. Specifically, it will:

  1. Build the star lists: FgcmBuildStarsTableTask

  2. Run the fitter until convergence: FgcmFitCycleTask

  3. Output the final data products: FgcmOutputProductsTask

Python API summary#

Retargetable subtasks#

Configuration fields#