LSST Applications  21.0.0-147-g0e635eb1+1acddb5be5,22.0.0+052faf71bd,22.0.0+1ea9a8b2b2,22.0.0+6312710a6c,22.0.0+729191ecac,22.0.0+7589c3a021,22.0.0+9f079a9461,22.0.1-1-g7d6de66+b8044ec9de,22.0.1-1-g87000a6+536b1ee016,22.0.1-1-g8e32f31+6312710a6c,22.0.1-10-gd060f87+016f7cdc03,22.0.1-12-g9c3108e+df145f6f68,22.0.1-16-g314fa6d+c825727ab8,22.0.1-19-g93a5c75+d23f2fb6d8,22.0.1-19-gb93eaa13+aab3ef7709,22.0.1-2-g8ef0a89+b8044ec9de,22.0.1-2-g92698f7+9f079a9461,22.0.1-2-ga9b0f51+052faf71bd,22.0.1-2-gac51dbf+052faf71bd,22.0.1-2-gb66926d+6312710a6c,22.0.1-2-gcb770ba+09e3807989,22.0.1-20-g32debb5+b8044ec9de,22.0.1-23-gc2439a9a+fb0756638e,22.0.1-3-g496fd5d+09117f784f,22.0.1-3-g59f966b+1e6ba2c031,22.0.1-3-g849a1b8+f8b568069f,22.0.1-3-gaaec9c0+c5c846a8b1,22.0.1-32-g5ddfab5d3+60ce4897b0,22.0.1-4-g037fbe1+64e601228d,22.0.1-4-g8623105+b8044ec9de,22.0.1-5-g096abc9+d18c45d440,22.0.1-5-g15c806e+57f5c03693,22.0.1-7-gba73697+57f5c03693,master-g6e05de7fdc+c1283a92b8,master-g72cdda8301+729191ecac,w.2021.39
LSST Data Management Base Package
Classes | Variables
lsst.pipe.tasks.makeCoaddTempExp Namespace Reference

Classes

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

Variables

 log = logging.getLogger(__name__.partition(".")[2])
 
 bgSubtracted
 
 doApplySkyCorr
 
 doApplyExternalSkyWcs
 
 doApplyExternalPhotoCalib
 

Variable Documentation

◆ bgSubtracted

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

@utils.inheritDoc(pipeBase.PipelineTask)
def runQuantum(self, butlerQC, inputRefs, outputRefs):
# Ensure all input lists are in same detector order as the calExpList
detectorOrder = [ref.datasetRef.dataId['detector'] for ref in inputRefs.calExpList]
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

completeIndices = self.prepareCalibratedExposures(**inputs,
                                                  externalSkyWcsCatalog=externalSkyWcsCatalog,
                                                  externalPhotoCalibCatalog=externalPhotoCalibCatalog)
# 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,
                           **kwargs):

Definition at line 596 of file makeCoaddTempExp.py.

◆ doApplyExternalPhotoCalib

lsst.pipe.tasks.makeCoaddTempExp.doApplyExternalPhotoCalib

Definition at line 843 of file makeCoaddTempExp.py.

◆ doApplyExternalSkyWcs

lsst.pipe.tasks.makeCoaddTempExp.doApplyExternalSkyWcs

Definition at line 839 of file makeCoaddTempExp.py.

◆ doApplySkyCorr

lsst.pipe.tasks.makeCoaddTempExp.doApplySkyCorr

Definition at line 836 of file makeCoaddTempExp.py.

◆ log

lsst.pipe.tasks.makeCoaddTempExp.log = logging.getLogger(__name__.partition(".")[2])

Definition at line 42 of file makeCoaddTempExp.py.