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LSST Data Management Base Package
Classes | Variables
lsst.pipe.tasks.makeCoaddTempExp Namespace Reference

Classes

class  MakeCoaddTempExpConfig
 
class  MakeCoaddTempExpTask
 Warp and optionally PSF-Match calexps onto an a common projection. More...
 
class  MakeWarpConnections
 
class  MissingExposureError
 

Variables

 log = logging.getLogger(__name__)
 
 bgSubtracted
 
 doApplySkyCorr
 
 doApplyExternalSkyWcs
 
 doApplyExternalPhotoCalib
 
 doApplyFinalizedPsf
 

Variable Documentation

◆ bgSubtracted

lsst.pipe.tasks.makeCoaddTempExp.bgSubtracted
ConfigClass = MakeWarpConfig
_DefaultName = "makeWarp"

@utils.inheritDoc(pipeBase.PipelineTask)
def runQuantum(self, butlerQC, inputRefs, outputRefs):
# Obtain the list of input detectors from calExpList.  Sort them by
# detector order (to ensure reproducibility).  Then ensure all input
# lists are in the same sorted detector order.
detectorOrder = [ref.datasetRef.dataId['detector'] for ref in inputRefs.calExpList]
detectorOrder.sort()
inputRefs = reorderRefs(inputRefs, detectorOrder, dataIdKey='detector')

# Read in all inputs.
inputs = butlerQC.get(inputRefs)

# Construct skyInfo expected by `run`.  We remove the SkyMap itself
# from the dictionary so we can pass it as kwargs later.
skyMap = inputs.pop("skyMap")
quantumDataId = butlerQC.quantum.dataId
skyInfo = makeSkyInfo(skyMap, tractId=quantumDataId['tract'], patchId=quantumDataId['patch'])

# Construct list of input DataIds expected by `run`
dataIdList = [ref.datasetRef.dataId for ref in inputRefs.calExpList]
# Construct list of packed integer IDs expected by `run`
ccdIdList = [dataId.pack("visit_detector") for dataId in dataIdList]

# Run the selector and filter out calexps that were not selected
# primarily because they do not overlap the patch
cornerPosList = lsst.geom.Box2D(skyInfo.bbox).getCorners()
coordList = [skyInfo.wcs.pixelToSky(pos) for pos in cornerPosList]
goodIndices = self.select.run(**inputs, coordList=coordList, dataIds=dataIdList)
inputs = self.filterInputs(indices=goodIndices, inputs=inputs)

# Read from disk only the selected calexps
inputs['calExpList'] = [ref.get() for ref in inputs['calExpList']]

# Extract integer visitId requested by `run`
visits = [dataId['visit'] for dataId in dataIdList]
visitId = visits[0]

if self.config.doApplyExternalSkyWcs:
    if self.config.useGlobalExternalSkyWcs:
        externalSkyWcsCatalog = inputs.pop("externalSkyWcsGlobalCatalog")
    else:
        externalSkyWcsCatalog = inputs.pop("externalSkyWcsTractCatalog")
else:
    externalSkyWcsCatalog = None

if self.config.doApplyExternalPhotoCalib:
    if self.config.useGlobalExternalPhotoCalib:
        externalPhotoCalibCatalog = inputs.pop("externalPhotoCalibGlobalCatalog")
    else:
        externalPhotoCalibCatalog = inputs.pop("externalPhotoCalibTractCatalog")
else:
    externalPhotoCalibCatalog = None

if self.config.doApplyFinalizedPsf:
    finalizedPsfApCorrCatalog = inputs.pop("finalizedPsfApCorrCatalog")
else:
    finalizedPsfApCorrCatalog = None

completeIndices = self.prepareCalibratedExposures(**inputs,
                                                  externalSkyWcsCatalog=externalSkyWcsCatalog,
                                                  externalPhotoCalibCatalog=externalPhotoCalibCatalog,
                                                  finalizedPsfApCorrCatalog=finalizedPsfApCorrCatalog)
# Redo the input selection with inputs with complete wcs/photocalib info.
inputs = self.filterInputs(indices=completeIndices, inputs=inputs)

results = self.run(**inputs, visitId=visitId,
                   ccdIdList=[ccdIdList[i] for i in goodIndices],
                   dataIdList=[dataIdList[i] for i in goodIndices],
                   skyInfo=skyInfo)
if self.config.makeDirect and results.exposures["direct"] is not None:
    butlerQC.put(results.exposures["direct"], outputRefs.direct)
if self.config.makePsfMatched and results.exposures["psfMatched"] is not None:
    butlerQC.put(results.exposures["psfMatched"], outputRefs.psfMatched)

def filterInputs(self, indices, inputs):
for key in inputs.keys():
    # Only down-select on list inputs
    if isinstance(inputs[key], list):
        inputs[key] = [inputs[key][ind] for ind in indices]
return inputs

def prepareCalibratedExposures(self, calExpList, backgroundList=None, skyCorrList=None,
                           externalSkyWcsCatalog=None, externalPhotoCalibCatalog=None,
                           finalizedPsfApCorrCatalog=None,
                           **kwargs):

Definition at line 612 of file makeCoaddTempExp.py.

◆ doApplyExternalPhotoCalib

lsst.pipe.tasks.makeCoaddTempExp.doApplyExternalPhotoCalib

Definition at line 878 of file makeCoaddTempExp.py.

◆ doApplyExternalSkyWcs

lsst.pipe.tasks.makeCoaddTempExp.doApplyExternalSkyWcs

Definition at line 874 of file makeCoaddTempExp.py.

◆ doApplyFinalizedPsf

lsst.pipe.tasks.makeCoaddTempExp.doApplyFinalizedPsf

Definition at line 882 of file makeCoaddTempExp.py.

◆ doApplySkyCorr

lsst.pipe.tasks.makeCoaddTempExp.doApplySkyCorr

Definition at line 871 of file makeCoaddTempExp.py.

◆ log

lsst.pipe.tasks.makeCoaddTempExp.log = logging.getLogger(__name__)

Definition at line 44 of file makeCoaddTempExp.py.