DeconvolveExposureTask

class lsst.meas.extensions.scarlet.DeconvolveExposureTask(initInputs=None, **kwargs)

Bases: PipelineTask

Deconvolve an Exposure using scarlet lite.

Methods Summary

run(coadd[, catalog, band])	Deconvolve an Exposure
runQuantum(butlerQC, inputRefs, outputRefs)	Do butler IO and transform to provide in memory objects for tasks run method.

Methods Documentation

run(coadd: Exposure, catalog: SourceCatalog | None = None, band: str = 'dummy') → Struct

Deconvolve an Exposure

Parameters

coadd :

Coadd image to deconvolve

catalog :

Catalog of sources detected in the merged catalog. This is used to supress noise in regions with no significant flux about the noise in the coadds.

band :

Band of the coadd image. Since this is a single band task the band isn’t really necessary but can be useful for debugging so we keep it as a parameter.

Returns

deconvolvedpipeBase.Struct

Deconvolved exposure

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.