Coverage for python/lsst/atmospec/centroiding.py: 40%
71 statements
« prev ^ index » next coverage.py v6.4.2, created at 2022-07-23 03:37 -0700
« prev ^ index » next coverage.py v6.4.2, created at 2022-07-23 03:37 -0700
1# This file is part of atmospec.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <https://www.gnu.org/licenses/>.
22import lsst.afw.image as afwImage
23import lsst.pipe.base as pipeBase
25from lsst.meas.algorithms import LoadIndexedReferenceObjectsTask, MagnitudeLimit, ReferenceObjectLoader
26from lsst.meas.astrom import AstrometryTask, FitAffineWcsTask
27from lsst.pipe.tasks.quickFrameMeasurement import (QuickFrameMeasurementTask)
28from lsst.pipe.base.task import TaskError
29import lsst.pipe.base.connectionTypes as cT
30import lsst.pex.config as pexConfig
32from .utils import getTargetCentroidFromWcs
34__all__ = ['SingleStarCentroidTaskConfig', 'SingleStarCentroidTask']
37class SingleStarCentroidTaskConnections(pipeBase.PipelineTaskConnections,
38 dimensions=("instrument", "visit", "detector")):
39 inputExp = cT.Input(
40 name="icExp",
41 doc="Image-characterize output exposure",
42 storageClass="ExposureF",
43 dimensions=("instrument", "visit", "detector"),
44 multiple=False,
45 )
46 inputSources = cT.Input(
47 name="icSrc",
48 doc="Image-characterize output sources.",
49 storageClass="SourceCatalog",
50 dimensions=("instrument", "visit", "detector"),
51 multiple=False,
52 )
53 astromRefCat = cT.PrerequisiteInput(
54 doc="Reference catalog to use for astrometry",
55 name="gaia_dr2_20200414",
56 storageClass="SimpleCatalog",
57 dimensions=("skypix",),
58 deferLoad=True,
59 multiple=True,
60 )
61 atmospecCentroid = cT.Output(
62 name="atmospecCentroid",
63 doc="The main star centroid in yaml format.",
64 storageClass="StructuredDataDict",
65 dimensions=("instrument", "visit", "detector"),
66 )
69class SingleStarCentroidTaskConfig(pipeBase.PipelineTaskConfig,
70 pipelineConnections=SingleStarCentroidTaskConnections):
71 """Configuration parameters for ProcessStarTask."""
72 astromRefObjLoader = pexConfig.ConfigurableField(
73 target=LoadIndexedReferenceObjectsTask,
74 doc="Reference object loader for astrometric calibration",
75 )
76 astrometry = pexConfig.ConfigurableField(
77 target=AstrometryTask,
78 doc="Task to perform astrometric calibration to refine the WCS",
79 )
80 qfmTask = pexConfig.ConfigurableField(
81 target=QuickFrameMeasurementTask,
82 doc="XXX",
83 )
84 referenceFilterOverride = pexConfig.Field(
85 dtype=str,
86 doc="Which filter in the reference catalog to match to?",
87 default="phot_g_mean"
88 )
90 def setDefaults(self):
91 super().setDefaults()
92 # this is a null option now in Gen3 - do not set it here
93 # self.astromRefObjLoader.ref_dataset_name
95 self.astromRefObjLoader.pixelMargin = 1000
97 self.astrometry.wcsFitter.retarget(FitAffineWcsTask)
98 self.astrometry.referenceSelector.doMagLimit = True
99 magLimit = MagnitudeLimit()
100 magLimit.minimum = 1
101 magLimit.maximum = 15
102 self.astrometry.referenceSelector.magLimit = magLimit
103 self.astrometry.referenceSelector.magLimit.fluxField = "phot_g_mean_flux"
104 self.astrometry.matcher.maxRotationDeg = 5.99
105 self.astrometry.matcher.maxOffsetPix = 3000
106 self.astrometry.sourceSelector['matcher'].minSnr = 10
109class SingleStarCentroidTask(pipeBase.PipelineTask):
110 """XXX Docs here
111 """
113 ConfigClass = SingleStarCentroidTaskConfig
114 _DefaultName = 'singleStarCentroid'
116 def __init__(self, initInputs=None, **kwargs):
117 super().__init__(**kwargs)
119 self.makeSubtask("astrometry", refObjLoader=None)
120 self.makeSubtask('qfmTask')
122 def runQuantum(self, butlerQC, inputRefs, outputRefs):
123 inputs = butlerQC.get(inputRefs)
124 refObjLoader = ReferenceObjectLoader(dataIds=[ref.datasetRef.dataId
125 for ref in inputRefs.astromRefCat],
126 refCats=inputs.pop('astromRefCat'),
127 config=self.config.astromRefObjLoader, log=self.log)
129 refObjLoader.pixelMargin = 1000
130 self.astrometry.setRefObjLoader(refObjLoader)
132 # See L603 (def runQuantum(self, butlerQC, inputRefs, outputRefs):)
133 # in calibrate.py to put photocal back in
135 outputs = self.run(**inputs)
136 butlerQC.put(outputs, outputRefs)
138 def run(self, inputExp, inputSources):
139 """XXX Docs
140 """
142 # TODO: Change this to doing this the proper way
143 referenceFilterName = self.config.referenceFilterOverride
144 referenceFilterLabel = afwImage.FilterLabel(physical=referenceFilterName, band=referenceFilterName)
145 # there's a better way of doing this with the task I think
146 originalFilterLabel = inputExp.getFilter()
147 inputExp.setFilter(referenceFilterLabel)
149 successfulFit = False
150 try:
151 astromResult = self.astrometry.run(sourceCat=inputSources, exposure=inputExp)
152 scatter = astromResult.scatterOnSky.asArcseconds()
153 inputExp.setFilter(originalFilterLabel)
154 if scatter < 1:
155 successfulFit = True
156 except (RuntimeError, TaskError):
157 self.log.warn("Solver failed to run completely")
158 inputExp.setFilter(originalFilterLabel)
160 if successfulFit:
161 target = inputExp.getMetadata()['OBJECT']
162 centroid = getTargetCentroidFromWcs(inputExp, target, logger=self.log)
163 else:
164 result = self.qfmTask.run(inputExp)
165 centroid = result.brightestObjCentroid
167 centroidTuple = (centroid[0], centroid[1]) # unify Point2D or tuple to tuple
168 self.log.info(f"Centroid of main star found at {centroidTuple} found"
169 f" via {'astrometry' if successfulFit else 'QuickFrameMeasurement'}")
170 result = pipeBase.Struct(atmospecCentroid={'centroid': centroidTuple,
171 'astrometricMatch': successfulFit})
172 return result