lsst.pipe.tasks gf10b05e212+10497e73ae
Classes | Variables
lsst.pipe.tasks.processCcdWithFakes Namespace Reference

Classes

class  docstring
 
class  ProcessCcdWithFakesConnections
 

Variables

 radius
 
 cleanCat
 

Variable Documentation

◆ cleanCat

lsst.pipe.tasks.processCcdWithFakes.cleanCat

Definition at line 403 of file processCcdWithFakes.py.

◆ radius

lsst.pipe.tasks.processCcdWithFakes.radius
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 exposureIdInfo is None:
    exposureIdInfo = ExposureIdInfo()
returnedStruct = self.calibrate.run(exposure, exposureIdInfo=exposureIdInfo)
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):
if len(fakeCats) == 1:
    return fakeCats[0].get(
        datasetType=self.config.connections.fakeCats)
outputCat = []
for fakeCatRef in fakeCats:
    cat = fakeCatRef.get(
        datasetType=self.config.connections.fakeCats)
    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):
selected = exposure.getInfo().getVisitInfo().getId() == fakeCat["visit"]

return fakeCat[selected]

def copyCalibrationFields(self, calibCat, sourceCat, fieldsToCopy):
# 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"),
)


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."
)


class ProcessCcdWithVariableFakesTask(ProcessCcdWithFakesTask):
_DefaultName = "processCcdWithVariableFakes"
ConfigClass = ProcessCcdWithVariableFakesConfig

def run(self, fakeCats, exposure, skyMap, wcs=None, photoCalib=None, exposureIdInfo=None,
        icSourceCat=None, sfdSourceCat=None):

Definition at line 403 of file processCcdWithFakes.py.