23 from builtins
import zip
27 import lsst.coadd.utils
30 from .forcedPhotImage
import ForcedPhotImageConfig, ForcedPhotImageTask
32 __all__ = (
"ForcedPhotCoaddConfig",
"ForcedPhotCoaddTask")
36 footprintDatasetName = lsst.pex.config.Field(
37 doc=
"Dataset (without coadd prefix) that should be used to obtain (Heavy)Footprints for sources. " 38 "Must have IDs that match those of the reference catalog." 39 "If None, Footprints will be generated by transforming the reference Footprints.",
46 ForcedPhotImageTask.ConfigClass.setDefaults(self)
53 self.
measurement.plugins.names |= [
'base_InputCount',
'base_Variance']
54 self.
measurement.plugins[
'base_PixelFlags'].masksFpAnywhere = [
'CLIPPED',
'SENSOR_EDGE',
58 ForcedPhotImageTask.ConfigClass.validate(self)
61 raise ValueError(
"Cannot use removePatchOverlaps=True with deblended footprints, as parent " 62 "sources may be rejected while their children are not.")
74 A command-line driver for performing forced measurement on coadd images 76 This task is a subclass of ForcedPhotImageTask which is specifically for doing forced 77 measurement on a coadd, using as a reference catalog detections which were made on overlapping 78 coadds (i.e. in other bands). 80 The run method (inherited from ForcedPhotImageTask) takes a lsst.daf.persistence.ButlerDataRef 81 argument that corresponds to a coadd image. This is used to provide all the inputs and outputs 83 - A "*Coadd_src" (e.g. "deepCoadd_src") dataset is used as the reference catalog. This not loaded 84 directly from the passed dataRef, however; only the patch and tract are used, while the filter 85 is set by the configuration for the references subtask (see CoaddSrcReferencesTask). 86 - A "*Coadd_calexp" (e.g. "deepCoadd_calexp") dataset is used as the measurement image. Note that 87 this means that ProcessCoaddTask must be run on an image before ForcedPhotCoaddTask, in order 88 to generate the "*Coadd_calexp" dataset. 89 - A "*Coadd_forced_src" (e.g. "deepCoadd_forced_src") dataset will be written with the output 92 In addition to the run method, ForcedPhotCcdTask overrides several methods of ForcedPhotImageTask 93 to specialize it for coadd processing, including makeIdFactory() and fetchReferences(). None of these 94 should be called directly by the user, though it may be useful to override them further in subclasses. 97 ConfigClass = ForcedPhotCoaddConfig
98 RunnerClass = lsst.pipe.base.ButlerInitializedTaskRunner
99 _DefaultName =
"forcedPhotCoadd" 100 dataPrefix =
"deepCoadd_" 103 name = self.config.coaddName +
"Coadd_calexp" 104 return dataRef.get(name)
if dataRef.datasetExists(name)
else None 107 """Create an object that generates globally unique source IDs from per-CCD IDs and the CCD ID. 109 @param dataRef Data reference from butler. The "CoaddId_bits" and "CoaddId" 110 datasets are accessed. The data ID must have tract and patch keys. 117 expBits = dataRef.get(self.config.coaddName +
"CoaddId_bits")
118 expId = int(dataRef.get(self.config.coaddName +
"CoaddId"))
122 return int(dataRef.get(self.config.coaddName +
"CoaddId"))
125 """Return an iterable of reference sources which overlap the exposure 127 @param dataRef Data reference from butler corresponding to the image to be measured; 128 should have tract, patch, and filter keys. 129 @param exposure lsst.afw.image.Exposure to be measured (not used by this implementation) 131 All work is delegated to the references subtask; see CoaddSrcReferencesTask for information 132 about the default behavior. 134 skyMap = dataRef.get(self.
dataPrefix +
"skyMap", immediate=
True)
135 tractInfo = skyMap[dataRef.dataId[
"tract"]]
136 patch = tuple(int(v)
for v
in dataRef.dataId[
"patch"].split(
","))
137 patchInfo = tractInfo.getPatchInfo(patch)
139 references.extend(self.references.fetchInPatches(dataRef, patchList=[patchInfo]))
143 """For coadd forced photometry, we use the deblended HeavyFootprints from the single-band 144 measurements of the same band - because we've guaranteed that the peaks (and hence child sources) 145 will be consistent across all bands before we get to measurement, this should yield reasonable 146 deblending for most sources. It's most likely limitation is that it will not provide good flux 147 upper limits for sources that were not detected in this band but were blended with sources that 150 if self.config.footprintDatasetName
is None:
151 return ForcedPhotImageTask.attachFootprints(self, sources, refCat, exposure, refWcs, dataRef)
152 self.log.info(
"Loading deblended footprints for sources from %s, %s" %
153 (self.config.footprintDatasetName, dataRef.dataId))
154 fpCat = dataRef.get(
"%sCoadd_%s" % (self.config.coaddName, self.config.footprintDatasetName),
156 for refRecord, srcRecord
in zip(refCat, sources):
157 fpRecord = fpCat.find(refRecord.getId())
159 raise LookupError(
"Cannot find Footprint for source %s; please check that %sCoadd_%s " 160 "IDs are compatible with reference source IDs" %
161 (srcRecord.getId(), self.config.coaddName,
162 self.config.footprintDatasetName))
163 srcRecord.setFootprint(fpRecord.getFootprint())
166 def _makeArgumentParser(cls):
167 parser = lsst.pipe.base.ArgumentParser(name=cls.
_DefaultName)
168 parser.add_id_argument(
"--id",
"deepCoadd_forced_src", help=
"data ID, with raw CCD keys + tract",
169 ContainerClass=lsst.coadd.utils.CoaddDataIdContainer)
A base class for command-line forced measurement drivers.
static std::shared_ptr< IdFactory > makeSource(RecordId expId, int reserved)
def getExposure(self, dataRef)
def attachFootprints(self, sources, refCat, exposure, refWcs, dataRef)
A command-line driver for performing forced measurement on coadd images.
def makeIdFactory(self, dataRef)
def getExposureId(self, dataRef)
Config class for forced measurement driver task.
def fetchReferences(self, dataRef, exposure)