LSST Applications
21.0.0+04719a4bac,21.0.0-1-ga51b5d4+f5e6047307,21.0.0-11-g2b59f77+a9c1acf22d,21.0.0-11-ga42c5b2+86977b0b17,21.0.0-12-gf4ce030+76814010d2,21.0.0-13-g1721dae+760e7a6536,21.0.0-13-g3a573fe+768d78a30a,21.0.0-15-g5a7caf0+f21cbc5713,21.0.0-16-g0fb55c1+b60e2d390c,21.0.0-19-g4cded4ca+71a93a33c0,21.0.0-2-g103fe59+bb20972958,21.0.0-2-g45278ab+04719a4bac,21.0.0-2-g5242d73+3ad5d60fb1,21.0.0-2-g7f82c8f+8babb168e8,21.0.0-2-g8f08a60+06509c8b61,21.0.0-2-g8faa9b5+616205b9df,21.0.0-2-ga326454+8babb168e8,21.0.0-2-gde069b7+5e4aea9c2f,21.0.0-2-gecfae73+1d3a86e577,21.0.0-2-gfc62afb+3ad5d60fb1,21.0.0-25-g1d57be3cd+e73869a214,21.0.0-3-g357aad2+ed88757d29,21.0.0-3-g4a4ce7f+3ad5d60fb1,21.0.0-3-g4be5c26+3ad5d60fb1,21.0.0-3-g65f322c+e0b24896a3,21.0.0-3-g7d9da8d+616205b9df,21.0.0-3-ge02ed75+a9c1acf22d,21.0.0-4-g591bb35+a9c1acf22d,21.0.0-4-g65b4814+b60e2d390c,21.0.0-4-gccdca77+0de219a2bc,21.0.0-4-ge8a399c+6c55c39e83,21.0.0-5-gd00fb1e+05fce91b99,21.0.0-6-gc675373+3ad5d60fb1,21.0.0-64-g1122c245+4fb2b8f86e,21.0.0-7-g04766d7+cd19d05db2,21.0.0-7-gdf92d54+04719a4bac,21.0.0-8-g5674e7b+d1bd76f71f,master-gac4afde19b+a9c1acf22d,w.2021.13
LSST Data Management Base Package
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Classes | |
class | MissingExposureError |
class | MakeCoaddTempExpConfig |
class | MakeCoaddTempExpTask |
Warp and optionally PSF-Match calexps onto an a common projection. More... | |
class | MakeWarpConnections |
Variables | |
bgSubtracted | |
doApplySkyCorr | |
doApplyExternalSkyWcs | |
doApplyExternalPhotoCalib | |
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 self.prepareCalibratedExposures(**inputs, externalSkyWcsCatalog=externalSkyWcsCatalog, externalPhotoCalibCatalog=externalPhotoCalibCatalog) 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: butlerQC.put(results.exposures["direct"], outputRefs.direct) if self.config.makePsfMatched: 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 590 of file makeCoaddTempExp.py.
lsst.pipe.tasks.makeCoaddTempExp.doApplyExternalPhotoCalib |
Definition at line 834 of file makeCoaddTempExp.py.
lsst.pipe.tasks.makeCoaddTempExp.doApplyExternalSkyWcs |
Definition at line 830 of file makeCoaddTempExp.py.
lsst.pipe.tasks.makeCoaddTempExp.doApplySkyCorr |
Definition at line 827 of file makeCoaddTempExp.py.