HighResolutionHipsTask#

class lsst.pipe.tasks.hips.HighResolutionHipsTask(**kwargs)#

Bases: PipelineTask

Task for making high resolution HiPS images.

Methods Summary

build_quantum_graph_cli(argv)

A command-line interface entry point to build_quantum_graph.

run(pixels, coadd_exposure_handles)

Run the HighResolutionHipsTask.

runQuantum(butlerQC, inputRefs, outputRefs)

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

Methods Documentation

classmethod build_quantum_graph_cli(argv)#

A command-line interface entry point to build_quantum_graph. This method provides the implementation for the build-high-resolution-hips-qg script.

Parameters#

argvSequence [ str ]

Command-line arguments (e.g. sys.argv[1:]).

run(pixels, coadd_exposure_handles)#

Run the HighResolutionHipsTask.

Parameters#

pixelsIterable [ int ]

Iterable of healpix pixels (nest ordering) to warp to.

coadd_exposure_handleslist [lsst.daf.butler.DeferredDatasetHandle]

Handles for the coadd exposures.

Returns#

outputslsst.pipe.base.Struct

hips_exposures is a dict with pixel (key) and hips_exposure (value)

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.