LSST Applications g013ef56533+d2224463a4,g199a45376c+0ba108daf9,g19c4beb06c+9f335b2115,g1fd858c14a+2459ca3e43,g210f2d0738+2d3d333a78,g262e1987ae+abbb004f04,g2825c19fe3+eedc38578d,g29ae962dfc+0cb55f06ef,g2cef7863aa+aef1011c0b,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+19c3a54948,g47891489e3+501a489530,g4cdb532a89+a047e97985,g511e8cfd20+ce1f47b6d6,g53246c7159+8c5ae1fdc5,g54cd7ddccb+890c8e1e5d,g5fd55ab2c7+951cc3f256,g64539dfbff+2d3d333a78,g67b6fd64d1+501a489530,g67fd3c3899+2d3d333a78,g74acd417e5+0ea5dee12c,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+501a489530,g8d7436a09f+5ea4c44d25,g8ea07a8fe4+81eaaadc04,g90f42f885a+34c0557caf,g9486f8a5af+165c016931,g97be763408+d5e351dcc8,gbf99507273+8c5ae1fdc5,gc2a301910b+2d3d333a78,gca7fc764a6+501a489530,gce8aa8abaa+8c5ae1fdc5,gd7ef33dd92+501a489530,gdab6d2f7ff+0ea5dee12c,ge410e46f29+501a489530,geaed405ab2+e3b4b2a692,gf9a733ac38+8c5ae1fdc5,w.2025.41
LSST Data Management Base Package
|
Classes | |
class | docstring |
class | ProcessCcdWithFakesConnections |
Variables | |
exposure : `lsst.afw.image.exposure.exposure.ExposureF` | |
skyMap : `lsst.skymap.SkyMap` | |
wcs : `lsst.afw.geom.SkyWcs`, optional | |
photoCalib : `lsst.afw.image.photoCalib.PhotoCalib`, optional | |
icSourceCat : `lsst.afw.table.SourceCatalog`, optional | |
sfdSourceCat : `lsst.afw.table.SourceCatalog`, optional | |
externalSkyWcsGlobalCatalog | |
externalSkyWcsTractCatalog : `lsst.afw.table.ExposureCatalog`, optional | |
externalPhotoCalibGlobalCatalog | |
externalPhotoCalibTractCatalog | |
idGenerator : `lsst.meas.base.IdGenerator`, optional | |
resultStruct : `lsst.pipe.base.struct.Struct` | |
radius | |
fakeCats : `list` of `lsst.daf.butler.DeferredDatasetHandle` | |
combinedFakeCat : `pandas.DataFrame` | |
fakeCat : `pandas.core.frame.DataFrame` | |
movingFakeCat : `pandas.DataFrame` | |
calibCat : `lsst.afw.table.SourceCatalog` | |
sourceCat : `lsst.afw.table.SourceCatalog` | |
fieldsToCopy : `lsst.pex.config.listField.List` | |
newCat : `lsst.afw.table.SourceCatalog` | |
band : `str` | |
rngSeed : `int` | |
dataFrame : `pandas.DataFrame` | |
Insert fake sources into calexps
lsst.pipe.tasks.processCcdWithFakes.band : `str` |
Definition at line 777 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.calibCat : `lsst.afw.table.SourceCatalog` |
selected = exposure.getInfo().getVisitInfo().getId() == fakeCat["visit"] return fakeCat[selected] def copyCalibrationFields(self, calibCat, sourceCat, fieldsToCopy):
Definition at line 550 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.combinedFakeCat : `pandas.DataFrame` |
Definition at line 507 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.dataFrame : `pandas.DataFrame` |
Definition at line 788 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.exposure : `lsst.afw.image.exposure.exposure.ExposureF` |
Definition at line 418 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.externalPhotoCalibGlobalCatalog |
Definition at line 437 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.externalPhotoCalibTractCatalog |
Definition at line 440 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.externalSkyWcsGlobalCatalog |
Definition at line 432 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.externalSkyWcsTractCatalog : `lsst.afw.table.ExposureCatalog`, optional |
Definition at line 435 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.fakeCat : `pandas.core.frame.DataFrame` |
if len(fakeCats) == 1: return fakeCats[0].get() outputCat = [] for fakeCatRef in fakeCats: cat = fakeCatRef.get() tractId = fakeCatRef.dataId["tract"] # Make sure all data is within the inner part of the tract. outputCat.append(cat[ skyMap.findTractIdArray(cat[self.config.insertFakes.ra_col], cat[self.config.insertFakes.dec_col], degrees=False) == tractId]) return pd.concat(outputCat) def getVisitMatchedFakeCat(self, fakeCat, exposure):
# Make a new SourceCatalog with the data from sourceCat so that we can add the new columns to it sourceSchemaMapper = afwTable.SchemaMapper(sourceCat.schema) sourceSchemaMapper.addMinimalSchema(sourceCat.schema, True) calibSchemaMapper = afwTable.SchemaMapper(calibCat.schema, sourceCat.schema) # Add the desired columns from the option fieldsToCopy missingFieldNames = [] for fieldName in fieldsToCopy: if fieldName in calibCat.schema: schemaItem = calibCat.schema.find(fieldName) calibSchemaMapper.editOutputSchema().addField(schemaItem.getField()) schema = calibSchemaMapper.editOutputSchema() calibSchemaMapper.addMapping(schemaItem.getKey(), schema.find(fieldName).getField()) else: missingFieldNames.append(fieldName) if missingFieldNames: raise RuntimeError(f"calibCat is missing fields {missingFieldNames} specified in " "fieldsToCopy") if "calib_detected" not in calibSchemaMapper.getOutputSchema(): self.calibSourceKey = calibSchemaMapper.addOutputField(afwTable.Field["Flag"]("calib_detected", "Source was detected as an icSource")) else: self.calibSourceKey = None schema = calibSchemaMapper.getOutputSchema() newCat = afwTable.SourceCatalog(schema) newCat.reserve(len(sourceCat)) newCat.extend(sourceCat, sourceSchemaMapper) # Set the aliases so it doesn't complain. for k, v in sourceCat.schema.getAliasMap().items(): newCat.schema.getAliasMap().set(k, v) select = newCat["deblend_nChild"] == 0 matches = afwTable.matchXy(newCat[select], calibCat, self.config.matchRadiusPix) # Check that no sourceCat sources are listed twice (we already know # that each match has a unique calibCat source ID, due to using # that ID as the key in bestMatches) numMatches = len(matches) numUniqueSources = len(set(m[1].getId() for m in matches)) if numUniqueSources != numMatches: self.log.warning("%d calibCat sources matched only %d sourceCat sources", numMatches, numUniqueSources) self.log.info("Copying flags from calibCat to sourceCat for %s sources", numMatches) # For each match: set the calibSourceKey flag and copy the desired # fields for src, calibSrc, d in matches: if self.calibSourceKey: src.setFlag(self.calibSourceKey, True) # src.assign copies the footprint from calibSrc, which we don't want # (DM-407) # so set calibSrc's footprint to src's footprint before src.assign, # then restore it calibSrcFootprint = calibSrc.getFootprint() try: calibSrc.setFootprint(src.getFootprint()) src.assign(calibSrc, calibSchemaMapper) finally: calibSrc.setFootprint(calibSrcFootprint) return newCat class ProcessCcdWithVariableFakesConnections(ProcessCcdWithFakesConnections): ccdVisitFakeMagnitudes = cT.Output( doc="Catalog of fakes with magnitudes scattered for this ccdVisit.", name="{fakesType}ccdVisitFakeMagnitudes", storageClass="DataFrame", dimensions=("instrument", "visit", "detector"), ) @deprecated( reason="This task will be removed in v28.0 as it is replaced by `source_injection` tasks.", version="v28.0", category=FutureWarning, ) class ProcessCcdWithVariableFakesConfig(ProcessCcdWithFakesConfig, pipelineConnections=ProcessCcdWithVariableFakesConnections): scatterSize = pexConfig.RangeField( dtype=float, default=0.4, min=0, max=100, doc="Amount of scatter to add to the visit magnitude for variable " "sources." ) @deprecated( reason="This task will be removed in v28.0 as it is replaced by `source_injection` tasks.", version="v28.0", category=FutureWarning, ) class ProcessCcdWithVariableFakesTask(ProcessCcdWithFakesTask):
_DefaultName = "processCcdWithVariableFakes" ConfigClass = ProcessCcdWithVariableFakesConfig def run(self, fakeCats, exposure, skyMap, wcs=None, photoCalib=None, icSourceCat=None, sfdSourceCat=None, idGenerator=None):
fakeCat = self.composeFakeCat(fakeCats, skyMap) if wcs is None: wcs = exposure.getWcs() if photoCalib is None: photoCalib = exposure.getPhotoCalib() if idGenerator is None: idGenerator = IdGenerator() band = exposure.getFilter().bandLabel ccdVisitMagnitudes = self.addVariability( fakeCat, band, exposure, photoCalib, idGenerator.catalog_id, ) self.insertFakes.run(fakeCat, exposure, wcs, photoCalib) # detect, deblend and measure sources returnedStruct = self.calibrate.run(exposure, idGenerator=idGenerator) sourceCat = returnedStruct.sourceCat sourceCat = self.copyCalibrationFields(sfdSourceCat, sourceCat, self.config.srcFieldsToCopy) resultStruct = pipeBase.Struct(outputExposure=exposure, outputCat=sourceCat, ccdVisitFakeMagnitudes=ccdVisitMagnitudes) return resultStruct def addVariability(self, fakeCat, band, exposure, photoCalib, rngSeed):
Definition at line 531 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.fakeCats : `list` of `lsst.daf.butler.DeferredDatasetHandle` |
fakeCat = self.composeFakeCat(fakeCats, skyMap) if wcs is None: wcs = exposure.getWcs() if photoCalib is None: photoCalib = exposure.getPhotoCalib() if self.config.doMatchVisit: fakeCat = self.getVisitMatchedFakeCat(fakeCat, exposure) self.insertFakes.run(fakeCat, exposure, wcs, photoCalib) # detect, deblend and measure sources if idGenerator is None: idGenerator = IdGenerator() returnedStruct = self.calibrate.run(exposure, idGenerator=idGenerator) sourceCat = returnedStruct.sourceCat sourceCat = self.copyCalibrationFields(sfdSourceCat, sourceCat, self.config.srcFieldsToCopy) resultStruct = pipeBase.Struct(outputExposure=exposure, outputCat=sourceCat) return resultStruct def composeFakeCat(self, fakeCats, skyMap):
Definition at line 500 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.fieldsToCopy : `lsst.pex.config.listField.List` |
Definition at line 554 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.icSourceCat : `lsst.afw.table.SourceCatalog`, optional |
Definition at line 426 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.idGenerator : `lsst.meas.base.IdGenerator`, optional |
Definition at line 443 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.movingFakeCat : `pandas.DataFrame` |
Definition at line 538 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.newCat : `lsst.afw.table.SourceCatalog` |
Definition at line 559 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.photoCalib : `lsst.afw.image.photoCalib.PhotoCalib`, optional |
Definition at line 424 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.radius |
Definition at line 457 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.resultStruct : `lsst.pipe.base.struct.Struct` |
Definition at line 448 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.rngSeed : `int` |
Definition at line 783 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.sfdSourceCat : `lsst.afw.table.SourceCatalog`, optional |
Definition at line 429 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.skyMap : `lsst.skymap.SkyMap` |
Definition at line 420 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.sourceCat : `lsst.afw.table.SourceCatalog` |
Definition at line 552 of file processCcdWithFakes.py.
lsst.pipe.tasks.processCcdWithFakes.wcs : `lsst.afw.geom.SkyWcs`, optional |
Definition at line 422 of file processCcdWithFakes.py.