def testForcedMeasurementTransform(self):
"""Test applying a transform task to the results of forced measurement."""
schema = afwTable.SourceTable.makeMinimalSchema()
forcedConfig = measBase.ForcedMeasurementConfig(plugins=[PLUGIN_NAME])
# We don't use slots in this test
for key in forcedConfig.slots:
setattr(forcedConfig.slots, key, None)
forcedConfig.copyColumns = {"id": "objectId", "parent": "parentObjectId"}
forcedTask = measBase.ForcedMeasurementTask(schema, config=forcedConfig)
transformConfig = TransformConfig(copyFields=("objectId", "coord_ra", "coord_dec"))
transformTask = TransformTask(measConfig=forcedConfig,
inputSchema=forcedTask.schema, outputDataset="forced_src",
config=transformConfig)
self._transformAndCheck(forcedConfig, forcedTask.schema, transformTask)
def measureForced(exposure, source, refWcs, msConfig):
"""Forced measurement"""
refCat = afwTable.SourceCatalog(source.table)
refCat.append(source)
schema = afwTable.SourceTable.makeMinimalSchema()
algMeta = PropertyList()
source.getTable().setMetadata(algMeta)
task = measBase.ForcedMeasurementTask(schema,
config=msConfig,
algMetadata=algMeta)
measCat = task.generateMeasCat(exposure, refCat, refWcs)
task.attachTransformedFootprints(measCat, refCat, exposure, refWcs)
task.run(measCat, exposure, refCat, refWcs)
return measCat[0]
def doForcedPhotometry(centroids, exposure, transientsOnly=False, asDF=False):
expWcs = exposure.getWcs()
if type(centroids) is afwTable.SourceCatalog:
sources = centroids
else:
sources = centroidsToCatalog(centroids,
expWcs,
transientsOnly=transientsOnly)
config = measBase.ForcedMeasurementTask.ConfigClass()
config.plugins.names = ['base_TransformedCentroid', 'base_PsfFlux']
config.slots.shape = None
config.slots.centroid = 'base_TransformedCentroid'
config.slots.modelFlux = 'base_PsfFlux'
measurement = measBase.ForcedMeasurementTask(sources.getSchema(),
config=config)
measCat = measurement.generateMeasCat(exposure, sources, expWcs)
measurement.attachTransformedFootprints(measCat, sources, exposure, expWcs)
measurement.run(measCat, exposure, sources, expWcs)
if asDF:
measCat = catalogToDF(
measCat
) #pd.DataFrame({col: measCat.columns[col] for col in measCat.schema.getNames()})
return measCat, sources
