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:
- Build the star lists: FgcmBuildStarsTableTask
- Run the fitter until convergence: FgcmFitCycleTask
- Output the final data products: FgcmOutputProductsTask
Python API summary¶
from lsst.fgcmcal.fgcmCalibrateTractTable import FgcmCalibrateTractTableTask
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class
FgcmCalibrateTractTableTask Calibrate a single tract using fgcmcal, using sourceTable_visit (parquet) input catalogs
...
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attribute
config Access configuration fields and retargetable subtasks.
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method
run Run the calibrations for a single tract with fgcm
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See also
See the FgcmCalibrateTractTableTask API reference for complete details.
Retargetable subtasks¶
fgcmBuildStars¶
- Default
lsst.fgcmcal.fgcmBuildStarsTable.FgcmBuildStarsTableTask- Field type
ConfigurableField
fgcmOutputProducts¶
- Default
lsst.fgcmcal.fgcmOutputProducts.FgcmOutputProductsTask- Field type
ConfigurableField
Configuration fields¶
connections¶
- Data type
lsst.pipe.base.config.Connections- Field type
ConfigField
convergenceTolerance¶
fgcmFitCycle¶
- Data type
lsst.fgcmcal.fgcmFitCycle.FgcmFitCycleConfig- Field type
ConfigField