Coverage for python/lsst/pipe/tasks/characterizeImage.py : 78%

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1#
2# LSST Data Management System
3# Copyright 2008-2015 AURA/LSST.
4#
5# This product includes software developed by the
6# LSST Project (http://www.lsst.org/).
7#
8# This program is free software: you can redistribute it and/or modify
9# it under the terms of the GNU General Public License as published by
10# the Free Software Foundation, either version 3 of the License, or
11# (at your option) any later version.
12#
13# This program is distributed in the hope that it will be useful,
14# but WITHOUT ANY WARRANTY; without even the implied warranty of
15# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16# GNU General Public License for more details.
17#
18# You should have received a copy of the LSST License Statement and
19# the GNU General Public License along with this program. If not,
20# see <https://www.lsstcorp.org/LegalNotices/>.
21#
22import numpy as np
24from lsstDebug import getDebugFrame
25import lsst.afw.table as afwTable
26import lsst.pex.config as pexConfig
27import lsst.pipe.base as pipeBase
28import lsst.daf.base as dafBase
29import lsst.pipe.base.connectionTypes as cT
30from lsst.afw.math import BackgroundList
31from lsst.afw.table import SourceTable, SourceCatalog, IdFactory
32from lsst.meas.algorithms import SubtractBackgroundTask, SourceDetectionTask, MeasureApCorrTask
33from lsst.meas.algorithms.installGaussianPsf import InstallGaussianPsfTask
34from lsst.meas.astrom import RefMatchTask, displayAstrometry
35from lsst.meas.algorithms import LoadIndexedReferenceObjectsTask
36from lsst.obs.base import ExposureIdInfo
37from lsst.meas.base import SingleFrameMeasurementTask, ApplyApCorrTask, CatalogCalculationTask
38from lsst.meas.deblender import SourceDeblendTask
39from .measurePsf import MeasurePsfTask
40from .repair import RepairTask
41from lsst.pex.exceptions import LengthError
43__all__ = ["CharacterizeImageConfig", "CharacterizeImageTask"]
46class CharacterizeImageConnections(pipeBase.PipelineTaskConnections,
47 dimensions=("instrument", "visit", "detector")):
48 exposure = cT.Input(
49 doc="Input exposure data",
50 name="postISRCCD",
51 storageClass="Exposure",
52 dimensions=["instrument", "exposure", "detector"],
53 )
54 characterized = cT.Output(
55 doc="Output characterized data.",
56 name="icExp",
57 storageClass="ExposureF",
58 dimensions=["instrument", "visit", "detector"],
59 )
60 sourceCat = cT.Output(
61 doc="Output source catalog.",
62 name="icSrc",
63 storageClass="SourceCatalog",
64 dimensions=["instrument", "visit", "detector"],
65 )
66 backgroundModel = cT.Output(
67 doc="Output background model.",
68 name="icExpBackground",
69 storageClass="Background",
70 dimensions=["instrument", "visit", "detector"],
71 )
72 outputSchema = cT.InitOutput(
73 doc="Schema of the catalog produced by CharacterizeImage",
74 name="icSrc_schema",
75 storageClass="SourceCatalog",
76 )
78 def adjustQuantum(self, datasetRefMap: pipeBase.InputQuantizedConnection):
79 # Docstring inherited from PipelineTaskConnections
80 try:
81 return super().adjustQuantum(datasetRefMap)
82 except pipeBase.ScalarError as err:
83 raise pipeBase.ScalarError(
84 f"CharacterizeImageTask can at present only be run on visits that are associated with "
85 f"exactly one exposure. Either this is not a valid exposure for this pipeline, or the "
86 f"snap-combination step you probably want hasn't been configured to run between ISR and "
87 f"this task (as of this writing, that would be because it hasn't been implemented yet)."
88 ) from err
91class CharacterizeImageConfig(pipeBase.PipelineTaskConfig,
92 pipelineConnections=CharacterizeImageConnections):
94 """!Config for CharacterizeImageTask"""
95 doMeasurePsf = pexConfig.Field(
96 dtype=bool,
97 default=True,
98 doc="Measure PSF? If False then for all subsequent operations use either existing PSF "
99 "model when present, or install simple PSF model when not (see installSimplePsf "
100 "config options)"
101 )
102 doWrite = pexConfig.Field(
103 dtype=bool,
104 default=True,
105 doc="Persist results?",
106 )
107 doWriteExposure = pexConfig.Field(
108 dtype=bool,
109 default=True,
110 doc="Write icExp and icExpBackground in addition to icSrc? Ignored if doWrite False.",
111 )
112 psfIterations = pexConfig.RangeField(
113 dtype=int,
114 default=2,
115 min=1,
116 doc="Number of iterations of detect sources, measure sources, "
117 "estimate PSF. If useSimplePsf is True then 2 should be plenty; "
118 "otherwise more may be wanted.",
119 )
120 background = pexConfig.ConfigurableField(
121 target=SubtractBackgroundTask,
122 doc="Configuration for initial background estimation",
123 )
124 detection = pexConfig.ConfigurableField(
125 target=SourceDetectionTask,
126 doc="Detect sources"
127 )
128 doDeblend = pexConfig.Field(
129 dtype=bool,
130 default=True,
131 doc="Run deblender input exposure"
132 )
133 deblend = pexConfig.ConfigurableField(
134 target=SourceDeblendTask,
135 doc="Split blended source into their components"
136 )
137 measurement = pexConfig.ConfigurableField(
138 target=SingleFrameMeasurementTask,
139 doc="Measure sources"
140 )
141 doApCorr = pexConfig.Field(
142 dtype=bool,
143 default=True,
144 doc="Run subtasks to measure and apply aperture corrections"
145 )
146 measureApCorr = pexConfig.ConfigurableField(
147 target=MeasureApCorrTask,
148 doc="Subtask to measure aperture corrections"
149 )
150 applyApCorr = pexConfig.ConfigurableField(
151 target=ApplyApCorrTask,
152 doc="Subtask to apply aperture corrections"
153 )
154 # If doApCorr is False, and the exposure does not have apcorrections already applied, the
155 # active plugins in catalogCalculation almost certainly should not contain the characterization plugin
156 catalogCalculation = pexConfig.ConfigurableField(
157 target=CatalogCalculationTask,
158 doc="Subtask to run catalogCalculation plugins on catalog"
159 )
160 useSimplePsf = pexConfig.Field(
161 dtype=bool,
162 default=True,
163 doc="Replace the existing PSF model with a simplified version that has the same sigma "
164 "at the start of each PSF determination iteration? Doing so makes PSF determination "
165 "converge more robustly and quickly.",
166 )
167 installSimplePsf = pexConfig.ConfigurableField(
168 target=InstallGaussianPsfTask,
169 doc="Install a simple PSF model",
170 )
171 refObjLoader = pexConfig.ConfigurableField(
172 target=LoadIndexedReferenceObjectsTask,
173 doc="reference object loader",
174 )
175 ref_match = pexConfig.ConfigurableField(
176 target=RefMatchTask,
177 doc="Task to load and match reference objects. Only used if measurePsf can use matches. "
178 "Warning: matching will only work well if the initial WCS is accurate enough "
179 "to give good matches (roughly: good to 3 arcsec across the CCD).",
180 )
181 measurePsf = pexConfig.ConfigurableField(
182 target=MeasurePsfTask,
183 doc="Measure PSF",
184 )
185 repair = pexConfig.ConfigurableField(
186 target=RepairTask,
187 doc="Remove cosmic rays",
188 )
189 requireCrForPsf = pexConfig.Field(
190 dtype=bool,
191 default=True,
192 doc="Require cosmic ray detection and masking to run successfully before measuring the PSF."
193 )
194 checkUnitsParseStrict = pexConfig.Field(
195 doc="Strictness of Astropy unit compatibility check, can be 'raise', 'warn' or 'silent'",
196 dtype=str,
197 default="raise",
198 )
200 def setDefaults(self):
201 super().setDefaults()
202 # just detect bright stars; includeThresholdMultipler=10 seems large,
203 # but these are the values we have been using
204 self.detection.thresholdValue = 5.0
205 self.detection.includeThresholdMultiplier = 10.0
206 self.detection.doTempLocalBackground = False
207 # do not deblend, as it makes a mess
208 self.doDeblend = False
209 # measure and apply aperture correction; note: measuring and applying aperture
210 # correction are disabled until the final measurement, after PSF is measured
211 self.doApCorr = True
212 # minimal set of measurements needed to determine PSF
213 self.measurement.plugins.names = [
214 "base_PixelFlags",
215 "base_SdssCentroid",
216 "base_SdssShape",
217 "base_GaussianFlux",
218 "base_PsfFlux",
219 "base_CircularApertureFlux",
220 ]
222 def validate(self):
223 if self.doApCorr and not self.measurePsf: 223 ↛ 224line 223 didn't jump to line 224, because the condition on line 223 was never true
224 raise RuntimeError("Must measure PSF to measure aperture correction, "
225 "because flags determined by PSF measurement are used to identify "
226 "sources used to measure aperture correction")
228## \addtogroup LSST_task_documentation
229## \{
230## \page CharacterizeImageTask
231## \ref CharacterizeImageTask_ "CharacterizeImageTask"
232## \copybrief CharacterizeImageTask
233## \}
236class CharacterizeImageTask(pipeBase.PipelineTask, pipeBase.CmdLineTask):
237 r"""!Measure bright sources and use this to estimate background and PSF of an exposure
239 @anchor CharacterizeImageTask_
241 @section pipe_tasks_characterizeImage_Contents Contents
243 - @ref pipe_tasks_characterizeImage_Purpose
244 - @ref pipe_tasks_characterizeImage_Initialize
245 - @ref pipe_tasks_characterizeImage_IO
246 - @ref pipe_tasks_characterizeImage_Config
247 - @ref pipe_tasks_characterizeImage_Debug
250 @section pipe_tasks_characterizeImage_Purpose Description
252 Given an exposure with defects repaired (masked and interpolated over, e.g. as output by IsrTask):
253 - detect and measure bright sources
254 - repair cosmic rays
255 - measure and subtract background
256 - measure PSF
258 @section pipe_tasks_characterizeImage_Initialize Task initialisation
260 @copydoc \_\_init\_\_
262 @section pipe_tasks_characterizeImage_IO Invoking the Task
264 If you want this task to unpersist inputs or persist outputs, then call
265 the `runDataRef` method (a thin wrapper around the `run` method).
267 If you already have the inputs unpersisted and do not want to persist the output
268 then it is more direct to call the `run` method:
270 @section pipe_tasks_characterizeImage_Config Configuration parameters
272 See @ref CharacterizeImageConfig
274 @section pipe_tasks_characterizeImage_Debug Debug variables
276 The @link lsst.pipe.base.cmdLineTask.CmdLineTask command line task@endlink interface supports a flag
277 `--debug` to import `debug.py` from your `$PYTHONPATH`; see @ref baseDebug for more about `debug.py`.
279 CharacterizeImageTask has a debug dictionary with the following keys:
280 <dl>
281 <dt>frame
282 <dd>int: if specified, the frame of first debug image displayed (defaults to 1)
283 <dt>repair_iter
284 <dd>bool; if True display image after each repair in the measure PSF loop
285 <dt>background_iter
286 <dd>bool; if True display image after each background subtraction in the measure PSF loop
287 <dt>measure_iter
288 <dd>bool; if True display image and sources at the end of each iteration of the measure PSF loop
289 See @ref lsst.meas.astrom.displayAstrometry for the meaning of the various symbols.
290 <dt>psf
291 <dd>bool; if True display image and sources after PSF is measured;
292 this will be identical to the final image displayed by measure_iter if measure_iter is true
293 <dt>repair
294 <dd>bool; if True display image and sources after final repair
295 <dt>measure
296 <dd>bool; if True display image and sources after final measurement
297 </dl>
299 For example, put something like:
300 @code{.py}
301 import lsstDebug
302 def DebugInfo(name):
303 di = lsstDebug.getInfo(name) # N.b. lsstDebug.Info(name) would call us recursively
304 if name == "lsst.pipe.tasks.characterizeImage":
305 di.display = dict(
306 repair = True,
307 )
309 return di
311 lsstDebug.Info = DebugInfo
312 @endcode
313 into your `debug.py` file and run `calibrateTask.py` with the `--debug` flag.
315 Some subtasks may have their own debug variables; see individual Task documentation.
316 """
318 # Example description used to live here, removed 2-20-2017 by MSSG
320 ConfigClass = CharacterizeImageConfig
321 _DefaultName = "characterizeImage"
322 RunnerClass = pipeBase.ButlerInitializedTaskRunner
324 def runQuantum(self, butlerQC, inputRefs, outputRefs):
325 inputs = butlerQC.get(inputRefs)
326 if 'exposureIdInfo' not in inputs.keys():
327 exposureIdInfo = ExposureIdInfo()
328 exposureIdInfo.expId, exposureIdInfo.expBits = butlerQC.quantum.dataId.pack("visit_detector",
329 returnMaxBits=True)
330 inputs['exposureIdInfo'] = exposureIdInfo
331 outputs = self.run(**inputs)
332 butlerQC.put(outputs, outputRefs)
334 def __init__(self, butler=None, refObjLoader=None, schema=None, **kwargs):
335 """!Construct a CharacterizeImageTask
337 @param[in] butler A butler object is passed to the refObjLoader constructor in case
338 it is needed to load catalogs. May be None if a catalog-based star selector is
339 not used, if the reference object loader constructor does not require a butler,
340 or if a reference object loader is passed directly via the refObjLoader argument.
341 @param[in] refObjLoader An instance of LoadReferenceObjectsTasks that supplies an
342 external reference catalog to a catalog-based star selector. May be None if a
343 catalog star selector is not used or the loader can be constructed from the
344 butler argument.
345 @param[in,out] schema initial schema (an lsst.afw.table.SourceTable), or None
346 @param[in,out] kwargs other keyword arguments for lsst.pipe.base.CmdLineTask
347 """
348 super().__init__(**kwargs)
350 if schema is None: 350 ↛ 352line 350 didn't jump to line 352, because the condition on line 350 was never false
351 schema = SourceTable.makeMinimalSchema()
352 self.schema = schema
353 self.makeSubtask("background")
354 self.makeSubtask("installSimplePsf")
355 self.makeSubtask("repair")
356 self.makeSubtask("measurePsf", schema=self.schema)
357 if self.config.doMeasurePsf and self.measurePsf.usesMatches: 357 ↛ 358line 357 didn't jump to line 358, because the condition on line 357 was never true
358 if not refObjLoader:
359 self.makeSubtask('refObjLoader', butler=butler)
360 refObjLoader = self.refObjLoader
361 self.makeSubtask("ref_match", refObjLoader=refObjLoader)
362 self.algMetadata = dafBase.PropertyList()
363 self.makeSubtask('detection', schema=self.schema)
364 if self.config.doDeblend: 364 ↛ 365line 364 didn't jump to line 365, because the condition on line 364 was never true
365 self.makeSubtask("deblend", schema=self.schema)
366 self.makeSubtask('measurement', schema=self.schema, algMetadata=self.algMetadata)
367 if self.config.doApCorr: 367 ↛ 370line 367 didn't jump to line 370, because the condition on line 367 was never false
368 self.makeSubtask('measureApCorr', schema=self.schema)
369 self.makeSubtask('applyApCorr', schema=self.schema)
370 self.makeSubtask('catalogCalculation', schema=self.schema)
371 self._initialFrame = getDebugFrame(self._display, "frame") or 1
372 self._frame = self._initialFrame
373 self.schema.checkUnits(parse_strict=self.config.checkUnitsParseStrict)
374 self.outputSchema = afwTable.SourceCatalog(self.schema)
376 def getInitOutputDatasets(self):
377 outputCatSchema = afwTable.SourceCatalog(self.schema)
378 outputCatSchema.getTable().setMetadata(self.algMetadata)
379 return {'outputSchema': outputCatSchema}
381 @pipeBase.timeMethod
382 def runDataRef(self, dataRef, exposure=None, background=None, doUnpersist=True):
383 """!Characterize a science image and, if wanted, persist the results
385 This simply unpacks the exposure and passes it to the characterize method to do the work.
387 @param[in] dataRef: butler data reference for science exposure
388 @param[in,out] exposure exposure to characterize (an lsst.afw.image.ExposureF or similar).
389 If None then unpersist from "postISRCCD".
390 The following changes are made, depending on the config:
391 - set psf to the measured PSF
392 - set apCorrMap to the measured aperture correction
393 - subtract background
394 - interpolate over cosmic rays
395 - update detection and cosmic ray mask planes
396 @param[in,out] background initial model of background already subtracted from exposure
397 (an lsst.afw.math.BackgroundList). May be None if no background has been subtracted,
398 which is typical for image characterization.
399 A refined background model is output.
400 @param[in] doUnpersist if True the exposure is read from the repository
401 and the exposure and background arguments must be None;
402 if False the exposure must be provided.
403 True is intended for running as a command-line task, False for running as a subtask
405 @return same data as the characterize method
406 """
407 self._frame = self._initialFrame # reset debug display frame
408 self.log.info("Processing %s" % (dataRef.dataId))
410 if doUnpersist:
411 if exposure is not None or background is not None: 411 ↛ 412line 411 didn't jump to line 412, because the condition on line 411 was never true
412 raise RuntimeError("doUnpersist true; exposure and background must be None")
413 exposure = dataRef.get("postISRCCD", immediate=True)
414 elif exposure is None: 414 ↛ 415line 414 didn't jump to line 415, because the condition on line 414 was never true
415 raise RuntimeError("doUnpersist false; exposure must be provided")
417 exposureIdInfo = dataRef.get("expIdInfo")
419 charRes = self.run(
420 exposure=exposure,
421 exposureIdInfo=exposureIdInfo,
422 background=background,
423 )
425 if self.config.doWrite: 425 ↛ 431line 425 didn't jump to line 431, because the condition on line 425 was never false
426 dataRef.put(charRes.sourceCat, "icSrc")
427 if self.config.doWriteExposure:
428 dataRef.put(charRes.exposure, "icExp")
429 dataRef.put(charRes.background, "icExpBackground")
431 return charRes
433 @pipeBase.timeMethod
434 def run(self, exposure, exposureIdInfo=None, background=None):
435 """!Characterize a science image
437 Peforms the following operations:
438 - Iterate the following config.psfIterations times, or once if config.doMeasurePsf false:
439 - detect and measure sources and estimate PSF (see detectMeasureAndEstimatePsf for details)
440 - interpolate over cosmic rays
441 - perform final measurement
443 @param[in,out] exposure exposure to characterize (an lsst.afw.image.ExposureF or similar).
444 The following changes are made:
445 - update or set psf
446 - set apCorrMap
447 - update detection and cosmic ray mask planes
448 - subtract background and interpolate over cosmic rays
449 @param[in] exposureIdInfo ID info for exposure (an lsst.obs.base.ExposureIdInfo).
450 If not provided, returned SourceCatalog IDs will not be globally unique.
451 @param[in,out] background initial model of background already subtracted from exposure
452 (an lsst.afw.math.BackgroundList). May be None if no background has been subtracted,
453 which is typical for image characterization.
455 @return pipe_base Struct containing these fields, all from the final iteration
456 of detectMeasureAndEstimatePsf:
457 - exposure: characterized exposure; image is repaired by interpolating over cosmic rays,
458 mask is updated accordingly, and the PSF model is set
459 - sourceCat: detected sources (an lsst.afw.table.SourceCatalog)
460 - background: model of background subtracted from exposure (an lsst.afw.math.BackgroundList)
461 - psfCellSet: spatial cells of PSF candidates (an lsst.afw.math.SpatialCellSet)
462 """
463 self._frame = self._initialFrame # reset debug display frame
465 if not self.config.doMeasurePsf and not exposure.hasPsf(): 465 ↛ 466line 465 didn't jump to line 466, because the condition on line 465 was never true
466 self.log.warn("Source catalog detected and measured with placeholder or default PSF")
467 self.installSimplePsf.run(exposure=exposure)
469 if exposureIdInfo is None:
470 exposureIdInfo = ExposureIdInfo()
472 # subtract an initial estimate of background level
473 background = self.background.run(exposure).background
475 psfIterations = self.config.psfIterations if self.config.doMeasurePsf else 1
476 for i in range(psfIterations):
477 dmeRes = self.detectMeasureAndEstimatePsf(
478 exposure=exposure,
479 exposureIdInfo=exposureIdInfo,
480 background=background,
481 )
483 psf = dmeRes.exposure.getPsf()
484 psfSigma = psf.computeShape().getDeterminantRadius()
485 psfDimensions = psf.computeImage().getDimensions()
486 medBackground = np.median(dmeRes.background.getImage().getArray())
487 self.log.info("iter %s; PSF sigma=%0.2f, dimensions=%s; median background=%0.2f" %
488 (i + 1, psfSigma, psfDimensions, medBackground))
490 self.display("psf", exposure=dmeRes.exposure, sourceCat=dmeRes.sourceCat)
492 # perform final repair with final PSF
493 self.repair.run(exposure=dmeRes.exposure)
494 self.display("repair", exposure=dmeRes.exposure, sourceCat=dmeRes.sourceCat)
496 # perform final measurement with final PSF, including measuring and applying aperture correction,
497 # if wanted
498 self.measurement.run(measCat=dmeRes.sourceCat, exposure=dmeRes.exposure,
499 exposureId=exposureIdInfo.expId)
500 if self.config.doApCorr: 500 ↛ 504line 500 didn't jump to line 504, because the condition on line 500 was never false
501 apCorrMap = self.measureApCorr.run(exposure=dmeRes.exposure, catalog=dmeRes.sourceCat).apCorrMap
502 dmeRes.exposure.getInfo().setApCorrMap(apCorrMap)
503 self.applyApCorr.run(catalog=dmeRes.sourceCat, apCorrMap=exposure.getInfo().getApCorrMap())
504 self.catalogCalculation.run(dmeRes.sourceCat)
506 self.display("measure", exposure=dmeRes.exposure, sourceCat=dmeRes.sourceCat)
508 return pipeBase.Struct(
509 exposure=dmeRes.exposure,
510 sourceCat=dmeRes.sourceCat,
511 background=dmeRes.background,
512 psfCellSet=dmeRes.psfCellSet,
514 characterized=dmeRes.exposure,
515 backgroundModel=dmeRes.background
516 )
518 @pipeBase.timeMethod
519 def detectMeasureAndEstimatePsf(self, exposure, exposureIdInfo, background):
520 """!Perform one iteration of detect, measure and estimate PSF
522 Performs the following operations:
523 - if config.doMeasurePsf or not exposure.hasPsf():
524 - install a simple PSF model (replacing the existing one, if need be)
525 - interpolate over cosmic rays with keepCRs=True
526 - estimate background and subtract it from the exposure
527 - detect, deblend and measure sources, and subtract a refined background model;
528 - if config.doMeasurePsf:
529 - measure PSF
531 @param[in,out] exposure exposure to characterize (an lsst.afw.image.ExposureF or similar)
532 The following changes are made:
533 - update or set psf
534 - update detection and cosmic ray mask planes
535 - subtract background
536 @param[in] exposureIdInfo ID info for exposure (an lsst.obs_base.ExposureIdInfo)
537 @param[in,out] background initial model of background already subtracted from exposure
538 (an lsst.afw.math.BackgroundList).
540 @return pipe_base Struct containing these fields, all from the final iteration
541 of detect sources, measure sources and estimate PSF:
542 - exposure characterized exposure; image is repaired by interpolating over cosmic rays,
543 mask is updated accordingly, and the PSF model is set
544 - sourceCat detected sources (an lsst.afw.table.SourceCatalog)
545 - background model of background subtracted from exposure (an lsst.afw.math.BackgroundList)
546 - psfCellSet spatial cells of PSF candidates (an lsst.afw.math.SpatialCellSet)
547 """
548 # install a simple PSF model, if needed or wanted
549 if not exposure.hasPsf() or (self.config.doMeasurePsf and self.config.useSimplePsf): 549 ↛ 554line 549 didn't jump to line 554, because the condition on line 549 was never false
550 self.log.warn("Source catalog detected and measured with placeholder or default PSF")
551 self.installSimplePsf.run(exposure=exposure)
553 # run repair, but do not interpolate over cosmic rays (do that elsewhere, with the final PSF model)
554 if self.config.requireCrForPsf: 554 ↛ 557line 554 didn't jump to line 557, because the condition on line 554 was never false
555 self.repair.run(exposure=exposure, keepCRs=True)
556 else:
557 try:
558 self.repair.run(exposure=exposure, keepCRs=True)
559 except LengthError:
560 self.log.warn("Skipping cosmic ray detection: Too many CR pixels (max %0.f)" %
561 self.config.repair.cosmicray.nCrPixelMax)
563 self.display("repair_iter", exposure=exposure)
565 if background is None: 565 ↛ 566line 565 didn't jump to line 566, because the condition on line 565 was never true
566 background = BackgroundList()
568 sourceIdFactory = IdFactory.makeSource(exposureIdInfo.expId, exposureIdInfo.unusedBits)
569 table = SourceTable.make(self.schema, sourceIdFactory)
570 table.setMetadata(self.algMetadata)
572 detRes = self.detection.run(table=table, exposure=exposure, doSmooth=True)
573 sourceCat = detRes.sources
574 if detRes.fpSets.background: 574 ↛ 578line 574 didn't jump to line 578, because the condition on line 574 was never false
575 for bg in detRes.fpSets.background:
576 background.append(bg)
578 if self.config.doDeblend: 578 ↛ 579line 578 didn't jump to line 579, because the condition on line 578 was never true
579 self.deblend.run(exposure=exposure, sources=sourceCat)
581 self.measurement.run(measCat=sourceCat, exposure=exposure, exposureId=exposureIdInfo.expId)
583 measPsfRes = pipeBase.Struct(cellSet=None)
584 if self.config.doMeasurePsf: 584 ↛ 591line 584 didn't jump to line 591, because the condition on line 584 was never false
585 if self.measurePsf.usesMatches: 585 ↛ 586line 585 didn't jump to line 586, because the condition on line 585 was never true
586 matches = self.ref_match.loadAndMatch(exposure=exposure, sourceCat=sourceCat).matches
587 else:
588 matches = None
589 measPsfRes = self.measurePsf.run(exposure=exposure, sources=sourceCat, matches=matches,
590 expId=exposureIdInfo.expId)
591 self.display("measure_iter", exposure=exposure, sourceCat=sourceCat)
593 return pipeBase.Struct(
594 exposure=exposure,
595 sourceCat=sourceCat,
596 background=background,
597 psfCellSet=measPsfRes.cellSet,
598 )
600 def getSchemaCatalogs(self):
601 """Return a dict of empty catalogs for each catalog dataset produced by this task.
602 """
603 sourceCat = SourceCatalog(self.schema)
604 sourceCat.getTable().setMetadata(self.algMetadata)
605 return {"icSrc": sourceCat}
607 def display(self, itemName, exposure, sourceCat=None):
608 """Display exposure and sources on next frame, if display of itemName has been requested
610 @param[in] itemName name of item in debugInfo
611 @param[in] exposure exposure to display
612 @param[in] sourceCat source catalog to display
613 """
614 val = getDebugFrame(self._display, itemName)
615 if not val: 615 ↛ 618line 615 didn't jump to line 618, because the condition on line 615 was never false
616 return
618 displayAstrometry(exposure=exposure, sourceCat=sourceCat, frame=self._frame, pause=False)
619 self._frame += 1