23 """Class for running fgcmcal on a single tract using sourceTable_visit tables.
27 import lsst.pipe.base
as pipeBase
28 from lsst.pipe.base
import connectionTypes
29 from lsst.meas.algorithms
import ReferenceObjectLoader
30 import lsst.afw.table
as afwTable
32 from .dataIds
import TractCheckDataIdContainer
33 from .fgcmBuildStarsTable
import FgcmBuildStarsTableTask
34 from .fgcmCalibrateTractBase
import (FgcmCalibrateTractConfigBase, FgcmCalibrateTractRunner,
35 FgcmCalibrateTractBaseTask)
36 from .utilities
import lookupStaticCalibrations
38 __all__ = [
'FgcmCalibrateTractTableConfig',
'FgcmCalibrateTractTableTask']
42 dimensions=(
"instrument",
44 camera = connectionTypes.PrerequisiteInput(
45 doc=
"Camera instrument",
47 storageClass=
"Camera",
48 dimensions=(
"instrument",),
49 lookupFunction=lookupStaticCalibrations,
53 fgcmLookUpTable = connectionTypes.PrerequisiteInput(
54 doc=(
"Atmosphere + instrument look-up-table for FGCM throughput and "
55 "chromatic corrections."),
56 name=
"fgcmLookUpTable",
57 storageClass=
"Catalog",
58 dimensions=(
"instrument",),
62 sourceSchema = connectionTypes.PrerequisiteInput(
63 doc=
"Schema for source catalogs",
65 storageClass=
"SourceCatalog",
69 refCat = connectionTypes.PrerequisiteInput(
70 doc=
"Reference catalog to use for photometric calibration",
72 storageClass=
"SimpleCatalog",
73 dimensions=(
"skypix",),
78 source_catalogs = connectionTypes.Input(
79 doc=
"Source table in parquet format, per visit",
80 name=
"sourceTable_visit",
81 storageClass=
"DataFrame",
82 dimensions=(
"instrument",
"visit"),
87 calexp = connectionTypes.Input(
88 doc=
"Calibrated exposures used for psf and metadata",
90 storageClass=
"ExposureF",
91 dimensions=(
"instrument",
"visit",
"detector"),
96 background = connectionTypes.Input(
97 doc=
"Calexp background model",
98 name=
"calexpBackground",
99 storageClass=
"Background",
100 dimensions=(
"instrument",
"visit",
"detector"),
105 fgcmPhotoCalib = connectionTypes.Output(
106 doc=
"Per-tract, per-visit photoCalib exposure catalogs produced from fgcm calibration",
107 name=
"fgcmPhotoCalibTractCatalog",
108 storageClass=
"ExposureCatalog",
109 dimensions=(
"instrument",
"tract",
"visit",),
113 fgcmTransmissionAtmosphere = connectionTypes.Output(
114 doc=
"Per-visit atmosphere transmission files produced from fgcm calibration",
115 name=
"transmission_atmosphere_fgcm_tract",
116 storageClass=
"TransmissionCurve",
117 dimensions=(
"instrument",
"tract",
"visit",),
121 fgcmRepeatability = connectionTypes.Output(
122 doc=
"Per-band raw repeatability numbers in the fgcm tract calibration",
123 name=
"fgcmRawRepeatability",
124 storageClass=
"Catalog",
125 dimensions=(
"instrument",
"tract",),
133 loaderName = config.fgcmBuildStars.fgcmLoadReferenceCatalog.refObjLoader.ref_dataset_name
134 if config.connections.refCat != loaderName:
135 raise ValueError(
"connections.refCat must be the same as "
136 "config.fgcmBuildStars.fgcmLoadReferenceCatalog.refObjLoader.ref_dataset_name")
137 if config.fgcmOutputProducts.doReferenceCalibration:
138 loaderName = config.fgcmOutputProducts.refObjLoader.ref_dataset_name
139 if config.connections.refCat != loaderName:
140 raise ValueError(
"connections.refCat must be the same as "
141 "config.fgcmOutputProducts.refObjLoader.ref_dataset_name")
143 if not config.fgcmBuildStars.doModelErrorsWithBackground:
144 self.inputs.remove(
"background")
146 if config.fgcmOutputProducts.doRefcatOutput:
147 raise ValueError(
"FgcmCalibrateTractTableTask (Gen3) does not support doRefcatOutput")
148 if not config.fgcmOutputProducts.doAtmosphereOutput:
149 self.prerequisiteInputs.remove(
"fgcmAtmosphereParameters")
150 if not config.fgcmOutputProducts.doZeropointOutput:
151 self.prerequisiteInputs.remove(
"fgcmZeropoints")
155 pipelineConnections=FgcmCalibrateTractTableConnections):
156 """Config for FgcmCalibrateTractTable task"""
169 Calibrate a single tract using fgcmcal, using sourceTable_visit (parquet)
172 ConfigClass = FgcmCalibrateTractTableConfig
173 RunnerClass = FgcmCalibrateTractRunner
174 _DefaultName =
"fgcmCalibrateTractTable"
176 canMultiprocess =
False
179 dataRefDict = butlerQC.get(inputRefs)
181 self.log.info(
"Running with %d sourceTable_visit dataRefs", (len(dataRefDict[
'source_catalogs'])))
184 tract = butlerQC.quantum.dataId[
'tract']
186 calexpRefs = dataRefDict[
'calexp']
187 calexpRefDict = {(calexpRef.dataId.byName()[
'visit'],
188 calexpRef.dataId.byName()[
'detector']):
189 calexpRef
for calexpRef
in calexpRefs}
190 dataRefDict[
'calexps'] = calexpRefDict
193 if self.config.fgcmOutputProducts.doZeropointOutput:
194 photoCalibRefDict = {photoCalibRef.dataId.byName()[
'visit']:
195 photoCalibRef
for photoCalibRef
in outputRefs.fgcmPhotoCalib}
196 dataRefDict[
'fgcmPhotoCalibs'] = photoCalibRefDict
198 if self.config.fgcmOutputProducts.doAtmosphereOutput:
199 atmRefDict = {atmRef.dataId.byName()[
'visit']: atmRef
for
200 atmRef
in outputRefs.fgcmTransmissionAtmosphere}
201 dataRefDict[
'fgcmTransmissionAtmospheres'] = atmRefDict
203 if self.config.fgcmBuildStars.doReferenceMatches:
204 refConfig = self.config.fgcmBuildStars.fgcmLoadReferenceCatalog.refObjLoader
205 loader = ReferenceObjectLoader(dataIds=[ref.datasetRef.dataId
206 for ref
in inputRefs.refCat],
207 refCats=butlerQC.get(inputRefs.refCat),
210 buildStarsRefObjLoader = loader
212 buildStarsRefObjLoader =
None
214 if self.config.fgcmOutputProducts.doReferenceCalibration:
215 refConfig = self.config.fgcmOutputProducts.refObjLoader
216 loader = ReferenceObjectLoader(dataIds=[ref.datasetRef.dataId
217 for ref
in inputRefs.refCat],
218 refCats=butlerQC.get(inputRefs.refCat),
221 self.fgcmOutputProducts.refObjLoader = loader
223 struct = self.
run(dataRefDict, tract,
224 buildStarsRefObjLoader=buildStarsRefObjLoader, butler=butlerQC)
226 if struct.photoCalibCatalogs
is not None:
227 self.log.info(
"Outputting photoCalib catalogs.")
228 for visit, expCatalog
in struct.photoCalibCatalogs:
229 butlerQC.put(expCatalog, photoCalibRefDict[visit])
230 self.log.info(
"Done outputting photoCalib catalogs.")
232 if struct.atmospheres
is not None:
233 self.log.info(
"Outputting atmosphere transmission files.")
234 for visit, atm
in struct.atmospheres:
235 butlerQC.put(atm, atmRefDict[visit])
236 self.log.info(
"Done outputting atmosphere files.")
239 schema = afwTable.Schema()
240 schema.addField(
'rawRepeatability', type=np.float64,
241 doc=
"Per-band raw repeatability in FGCM calibration.")
242 repeatabilityCat = afwTable.BaseCatalog(schema)
243 repeatabilityCat.resize(len(struct.repeatability))
244 repeatabilityCat[
'rawRepeatability'][:] = struct.repeatability
246 butlerQC.put(repeatabilityCat, outputRefs.fgcmRepeatability)
251 def _makeArgumentParser(cls):
253 parser.add_id_argument(
"--id",
"sourceTable_visit",
254 help=
"Data ID, e.g. --id visit=6789 tract=9617",
255 ContainerClass=TractCheckDataIdContainer)