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']
56 ForcedPhotImageTask.ConfigClass.validate(self)
59 raise ValueError(
"Cannot use removePatchOverlaps=True with deblended footprints, as parent " 60 "sources may be rejected while their children are not.")
72 A command-line driver for performing forced measurement on coadd images 74 This task is a subclass of ForcedPhotImageTask which is specifically for doing forced 75 measurement on a coadd, using as a reference catalog detections which were made on overlapping 76 coadds (i.e. in other bands). 78 The run method (inherited from ForcedPhotImageTask) takes a lsst.daf.persistence.ButlerDataRef 79 argument that corresponds to a coadd image. This is used to provide all the inputs and outputs 81 - A "*Coadd_src" (e.g. "deepCoadd_src") dataset is used as the reference catalog. This not loaded 82 directly from the passed dataRef, however; only the patch and tract are used, while the filter 83 is set by the configuration for the references subtask (see CoaddSrcReferencesTask). 84 - A "*Coadd_calexp" (e.g. "deepCoadd_calexp") dataset is used as the measurement image. Note that 85 this means that ProcessCoaddTask must be run on an image before ForcedPhotCoaddTask, in order 86 to generate the "*Coadd_calexp" dataset. 87 - A "*Coadd_forced_src" (e.g. "deepCoadd_forced_src") dataset will be written with the output 90 In addition to the run method, ForcedPhotCcdTask overrides several methods of ForcedPhotImageTask 91 to specialize it for coadd processing, including makeIdFactory() and fetchReferences(). None of these 92 should be called directly by the user, though it may be useful to override them further in subclasses. 95 ConfigClass = ForcedPhotCoaddConfig
96 RunnerClass = lsst.pipe.base.ButlerInitializedTaskRunner
97 _DefaultName =
"forcedPhotCoadd" 98 dataPrefix =
"deepCoadd_" 101 name = self.config.coaddName +
"Coadd_calexp" 102 return dataRef.get(name)
if dataRef.datasetExists(name)
else None 105 """Create an object that generates globally unique source IDs from per-CCD IDs and the CCD ID. 107 @param dataRef Data reference from butler. The "CoaddId_bits" and "CoaddId" 108 datasets are accessed. The data ID must have tract and patch keys. 115 expBits = dataRef.get(self.config.coaddName +
"CoaddId_bits")
116 expId = int(dataRef.get(self.config.coaddName +
"CoaddId"))
120 return int(dataRef.get(self.config.coaddName +
"CoaddId"))
123 """Return an iterable of reference sources which overlap the exposure 125 @param dataRef Data reference from butler corresponding to the image to be measured; 126 should have tract, patch, and filter keys. 127 @param exposure lsst.afw.image.Exposure to be measured (not used by this implementation) 129 All work is delegated to the references subtask; see CoaddSrcReferencesTask for information 130 about the default behavior. 132 skyMap = dataRef.get(self.
dataPrefix +
"skyMap", immediate=
True)
133 tractInfo = skyMap[dataRef.dataId[
"tract"]]
134 patch = tuple(int(v)
for v
in dataRef.dataId[
"patch"].split(
","))
135 patchInfo = tractInfo.getPatchInfo(patch)
137 references.extend(self.references.fetchInPatches(dataRef, patchList=[patchInfo]))
141 """For coadd forced photometry, we use the deblended HeavyFootprints from the single-band 142 measurements of the same band - because we've guaranteed that the peaks (and hence child sources) 143 will be consistent across all bands before we get to measurement, this should yield reasonable 144 deblending for most sources. It's most likely limitation is that it will not provide good flux 145 upper limits for sources that were not detected in this band but were blended with sources that 148 if self.config.footprintDatasetName
is None:
149 return ForcedPhotImageTask.attachFootprints(self, sources, refCat, exposure, refWcs, dataRef)
150 self.log.info(
"Loading deblended footprints for sources from %s, %s" %
151 (self.config.footprintDatasetName, dataRef.dataId))
152 fpCat = dataRef.get(
"%sCoadd_%s" % (self.config.coaddName, self.config.footprintDatasetName),
154 for refRecord, srcRecord
in zip(refCat, sources):
155 fpRecord = fpCat.find(refRecord.getId())
157 raise LookupError(
"Cannot find Footprint for source %s; please check that %sCoadd_%s " 158 "IDs are compatible with reference source IDs" %
159 (srcRecord.getId(), self.config.coaddName,
160 self.config.footprintDatasetName))
161 srcRecord.setFootprint(fpRecord.getFootprint())
164 def _makeArgumentParser(cls):
165 parser = lsst.pipe.base.ArgumentParser(name=cls.
_DefaultName)
166 parser.add_id_argument(
"--id",
"deepCoadd_forced_src", help=
"data ID, with raw CCD keys + tract",
167 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)