MultipleCellCoaddBuilderTask#
- class lsst.cell_coadds.MultipleCellCoaddBuilderTask(**kwargs: Any)#
Bases:
PipelineTaskTask to build cell-based coadded images.
This is the pipeline task that needs to be called from the pipeline. It contains
singleCellCoaddBuilderas a subtask which must implement a concrete coaddition algorithm in itsrunmethod. The images to be coadded can either be of typecalexporwarp, as specified in theinputTypeconfiguration field. Askymapwithcellstract builder must be passed. For each cell to be coadded, the task will query the butler for all the input images that completely overlap the cell’s outer bounding box and passed them to therunmethod of thesingleCellCoaddBuilder.See Also#
SingleCellCoaddBuilderTask
Methods Summary
run(expList, skyInfo, quantumDataId)Run coaddition algorithm for all the cells.
runQuantum(butlerQC, inputRefs, outputRefs)Do butler IO and transform to provide in memory objects for tasks
runmethod.Methods Documentation
- run(expList: Iterable[DeferredDatasetHandle], skyInfo: Struct, quantumDataId: DataCoordinate) MultipleCellCoadd#
Run coaddition algorithm for all the cells.
Parameters#
- expList
list[lsst.daf.butler.DeferredDatasetHandle] An iterable of
DeferredDatasetHandleobjects, where the objects can be either calexp or warp images.- skyInfo
Struct Struct with geometric information about the patches and cells.
- quantumDataId
DataCoordinate An immutable dataID dictionary that uniquely refers to the dataset.
Returns#
- multipleCellCoadd
MultipleCellCoadd Cell-based coadded image.
- expList
- runQuantum(butlerQC: QuantumContext, inputRefs: InputQuantizedConnection, outputRefs: OutputQuantizedConnection) MultipleCellCoadd#
Do butler IO and transform to provide in memory objects for tasks
runmethod.Parameters#
- butlerQC
QuantumContext A butler which is specialized to operate in the context of a
lsst.daf.butler.Quantum.- inputRefs
InputQuantizedConnection Datastructure whose attribute names are the names that identify connections defined in corresponding
PipelineTaskConnectionsclass. The values of these attributes are thelsst.daf.butler.DatasetRefobjects associated with the defined input/prerequisite connections.- outputRefs
OutputQuantizedConnection Datastructure whose attribute names are the names that identify connections defined in corresponding
PipelineTaskConnectionsclass. The values of these attributes are thelsst.daf.butler.DatasetRefobjects associated with the defined output connections.
- butlerQC