FgcmCalibrateTractTableTask#

class lsst.fgcmcal.FgcmCalibrateTractTableTask(initInputs=None, **kwargs)#

Calibrate a single tract using fgcmcal, using sourceTable_visit (parquet) input catalogs.

Attributes Summary

Whether this task can be run by an executor that uses subprocesses for parallelism.

Methods Summary

runQuantum(butlerQC, inputRefs, outputRefs)

Do butler IO and transform to provide in memory objects for tasks run method.

Attributes Documentation

canMultiprocess: ClassVar[bool] = False#: Whether this task can be run by an executor that uses subprocesses for parallelism.

Methods Documentation

runQuantum(butlerQC, inputRefs, outputRefs)#

Do butler IO and transform to provide in memory objects for tasks run method.

Parameters#

butlerQCQuantumContext: A butler which is specialized to operate in the context of a lsst.daf.butler.Quantum.
inputRefsInputQuantizedConnection: Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined input/prerequisite connections.
outputRefsOutputQuantizedConnection: Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined output connections.