LSST Applications
21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
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 | |
log = logging.getLogger(__name__) | |
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 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 598 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.
lsst.pipe.tasks.makeCoaddTempExp.log = logging.getLogger(__name__) |
Definition at line 43 of file makeCoaddTempExp.py.