Coverage for python/lsst/meas/astrom/astrometry.py: 21%
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1#
2# LSST Data Management System
3# Copyright 2008-2016 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#
23__all__ = ["AstrometryConfig", "AstrometryTask"]
25import numpy as np
26from astropy import units
27import scipy.stats
29import lsst.pex.config as pexConfig
30import lsst.pipe.base as pipeBase
31from lsst.utils.timer import timeMethod
32from .ref_match import RefMatchTask, RefMatchConfig
33from .fitTanSipWcs import FitTanSipWcsTask
34from .display import displayAstrometry
37class AstrometryConfig(RefMatchConfig):
38 """Config for AstrometryTask.
39 """
40 wcsFitter = pexConfig.ConfigurableField(
41 target=FitTanSipWcsTask,
42 doc="WCS fitter",
43 )
44 forceKnownWcs = pexConfig.Field(
45 dtype=bool,
46 doc="If True then load reference objects and match sources but do not fit a WCS; "
47 "this simply controls whether 'run' calls 'solve' or 'loadAndMatch'",
48 default=False,
49 )
50 maxIter = pexConfig.RangeField(
51 doc="maximum number of iterations of match sources and fit WCS"
52 "ignored if not fitting a WCS",
53 dtype=int,
54 default=3,
55 min=1,
56 )
57 minMatchDistanceArcSec = pexConfig.RangeField(
58 doc="the match distance below which further iteration is pointless (arcsec); "
59 "ignored if not fitting a WCS",
60 dtype=float,
61 default=0.001,
62 min=0,
63 )
64 maxMeanDistanceArcsec = pexConfig.RangeField(
65 doc="Maximum mean on-sky distance (in arcsec) between matched source and rerference "
66 "objects post-fit. A mean distance greater than this threshold raises a TaskError "
67 "and the WCS fit is considered a failure. The default is set to the maximum tolerated "
68 "by the external global calibration (e.g. jointcal) step for conceivable recovery. "
69 "Appropriate value will be dataset and workflow dependent.",
70 dtype=float,
71 default=0.5,
72 min=0,
73 )
74 doMagnitudeOutlierRejection = pexConfig.Field(
75 dtype=bool,
76 doc=("If True then a rough zeropoint will be computed from matched sources "
77 "and outliers will be rejected in the iterations."),
78 default=False,
79 )
80 magnitudeOutlierRejectionNSigma = pexConfig.Field(
81 dtype=float,
82 doc=("Number of sigma (measured from the distribution) in magnitude "
83 "for a potential reference/source match to be rejected during "
84 "iteration."),
85 default=3.0,
86 )
88 def setDefaults(self):
89 # Override the default source selector for astrometry tasks
90 self.sourceFluxType = "Ap"
92 self.sourceSelector.name = "matcher"
93 self.sourceSelector["matcher"].sourceFluxType = self.sourceFluxType
95 # Note that if the matcher is MatchOptimisticBTask, then the
96 # default should be self.sourceSelector['matcher'].excludePixelFlags = False
97 # However, there is no way to do this automatically.
100class AstrometryTask(RefMatchTask):
101 """Match an input source catalog with objects from a reference catalog and
102 solve for the WCS.
104 This task is broken into two main subasks: matching and WCS fitting which
105 are very interactive. The matching here can be considered in part a first
106 pass WCS fitter due to the fitter's sensitivity to outliers.
108 Parameters
109 ----------
110 refObjLoader : `lsst.meas.algorithms.ReferenceLoader`
111 A reference object loader object
112 schema : `lsst.afw.table.Schema`
113 Used to set "calib_astrometry_used" flag in output source catalog.
114 **kwargs
115 additional keyword arguments for pipe_base
116 `lsst.pipe.base.Task.__init__`
117 """
118 ConfigClass = AstrometryConfig
119 _DefaultName = "astrometricSolver"
121 def __init__(self, refObjLoader, schema=None, **kwargs):
122 RefMatchTask.__init__(self, refObjLoader, **kwargs)
124 if schema is not None:
125 self.usedKey = schema.addField("calib_astrometry_used", type="Flag",
126 doc="set if source was used in astrometric calibration")
127 else:
128 self.usedKey = None
130 self.makeSubtask("wcsFitter")
132 @timeMethod
133 def run(self, sourceCat, exposure):
134 """Load reference objects, match sources and optionally fit a WCS.
136 This is a thin layer around solve or loadAndMatch, depending on
137 config.forceKnownWcs.
139 Parameters
140 ----------
141 exposure : `lsst.afw.image.Exposure`
142 exposure whose WCS is to be fit
143 The following are read only:
145 - bbox
146 - photoCalib (may be absent)
147 - filter (may be unset)
148 - detector (if wcs is pure tangent; may be absent)
150 The following are updated:
152 - wcs (the initial value is used as an initial guess, and is
153 required)
155 sourceCat : `lsst.afw.table.SourceCatalog`
156 catalog of sources detected on the exposure
158 Returns
159 -------
160 result : `lsst.pipe.base.Struct`
161 with these fields:
163 - ``refCat`` : reference object catalog of objects that overlap the
164 exposure (with some margin) (`lsst.afw.table.SimpleCatalog`).
165 - ``matches`` : astrometric matches
166 (`list` of `lsst.afw.table.ReferenceMatch`).
167 - ``scatterOnSky`` : median on-sky separation between reference
168 objects and sources in "matches"
169 (`lsst.afw.geom.Angle`) or `None` if config.forceKnownWcs True
170 - ``matchMeta`` : metadata needed to unpersist matches
171 (`lsst.daf.base.PropertyList`)
172 """
173 if self.refObjLoader is None:
174 raise RuntimeError("Running matcher task with no refObjLoader set in __init__ or setRefObjLoader")
175 if self.config.forceKnownWcs:
176 res = self.loadAndMatch(exposure=exposure, sourceCat=sourceCat)
177 res.scatterOnSky = None
178 else:
179 res = self.solve(exposure=exposure, sourceCat=sourceCat)
180 return res
182 @timeMethod
183 def solve(self, exposure, sourceCat):
184 """Load reference objects overlapping an exposure, match to sources and
185 fit a WCS
187 Returns
188 -------
189 result : `lsst.pipe.base.Struct`
190 Result struct with components:
192 - ``refCat`` : reference object catalog of objects that overlap the
193 exposure (with some margin) (`lsst::afw::table::SimpleCatalog`).
194 - ``matches`` : astrometric matches
195 (`list` of `lsst.afw.table.ReferenceMatch`).
196 - ``scatterOnSky`` : median on-sky separation between reference
197 objects and sources in "matches" (`lsst.geom.Angle`)
198 - ``matchMeta`` : metadata needed to unpersist matches
199 (`lsst.daf.base.PropertyList`)
201 Raises
202 ------
203 TaskError
204 If the measured mean on-sky distance between the matched source and
205 reference objects is greater than
206 ``self.config.maxMeanDistanceArcsec``.
208 Notes
209 -----
210 ignores config.forceKnownWcs
211 """
212 if self.refObjLoader is None:
213 raise RuntimeError("Running matcher task with no refObjLoader set in __init__ or setRefObjLoader")
214 import lsstDebug
215 debug = lsstDebug.Info(__name__)
217 expMd = self._getExposureMetadata(exposure)
219 sourceSelection = self.sourceSelector.run(sourceCat)
221 self.log.info("Purged %d sources, leaving %d good sources",
222 len(sourceCat) - len(sourceSelection.sourceCat),
223 len(sourceSelection.sourceCat))
225 loadRes = self.refObjLoader.loadPixelBox(
226 bbox=expMd.bbox,
227 wcs=expMd.wcs,
228 filterName=expMd.filterName,
229 photoCalib=expMd.photoCalib,
230 epoch=expMd.epoch,
231 )
233 refSelection = self.referenceSelector.run(loadRes.refCat)
235 matchMeta = self.refObjLoader.getMetadataBox(
236 bbox=expMd.bbox,
237 wcs=expMd.wcs,
238 filterName=expMd.filterName,
239 photoCalib=expMd.photoCalib,
240 epoch=expMd.epoch,
241 )
243 if debug.display:
244 frame = int(debug.frame)
245 displayAstrometry(
246 refCat=refSelection.sourceCat,
247 sourceCat=sourceSelection.sourceCat,
248 exposure=exposure,
249 bbox=expMd.bbox,
250 frame=frame,
251 title="Reference catalog",
252 )
254 res = None
255 wcs = expMd.wcs
256 match_tolerance = None
257 for i in range(self.config.maxIter):
258 iterNum = i + 1
259 try:
260 tryRes = self._matchAndFitWcs(
261 refCat=refSelection.sourceCat,
262 sourceCat=sourceCat,
263 goodSourceCat=sourceSelection.sourceCat,
264 refFluxField=loadRes.fluxField,
265 bbox=expMd.bbox,
266 wcs=wcs,
267 exposure=exposure,
268 match_tolerance=match_tolerance,
269 )
270 except Exception as e:
271 # if we have had a succeessful iteration then use that; otherwise fail
272 if i > 0:
273 self.log.info("Fit WCS iter %d failed; using previous iteration: %s", iterNum, e)
274 iterNum -= 1
275 break
276 else:
277 raise
279 match_tolerance = tryRes.match_tolerance
280 tryMatchDist = self._computeMatchStatsOnSky(tryRes.matches)
281 self.log.debug(
282 "Match and fit WCS iteration %d: found %d matches with on-sky distance mean "
283 "= %0.3f +- %0.3f arcsec; max match distance = %0.3f arcsec",
284 iterNum, len(tryRes.matches), tryMatchDist.distMean.asArcseconds(),
285 tryMatchDist.distStdDev.asArcseconds(), tryMatchDist.maxMatchDist.asArcseconds())
287 maxMatchDist = tryMatchDist.maxMatchDist
288 res = tryRes
289 wcs = res.wcs
290 if maxMatchDist.asArcseconds() < self.config.minMatchDistanceArcSec:
291 self.log.debug(
292 "Max match distance = %0.3f arcsec < %0.3f = config.minMatchDistanceArcSec; "
293 "that's good enough",
294 maxMatchDist.asArcseconds(), self.config.minMatchDistanceArcSec)
295 break
296 match_tolerance.maxMatchDist = maxMatchDist
298 self.log.info(
299 "Matched and fit WCS in %d iterations; "
300 "found %d matches with on-sky distance mean and scatter = %0.3f +- %0.3f arcsec",
301 iterNum, len(tryRes.matches), tryMatchDist.distMean.asArcseconds(),
302 tryMatchDist.distStdDev.asArcseconds())
303 if tryMatchDist.distMean.asArcseconds() > self.config.maxMeanDistanceArcsec:
304 raise pipeBase.TaskError(
305 "Fatal astrometry failure detected: mean on-sky distance = %0.3f arcsec > %0.3f "
306 "(maxMeanDistanceArcsec)" %
307 (tryMatchDist.distMean.asArcseconds(), self.config.maxMeanDistanceArcsec))
308 for m in res.matches:
309 if self.usedKey:
310 m.second.set(self.usedKey, True)
311 exposure.setWcs(res.wcs)
313 # Record the scatter in the exposure metadata
314 md = exposure.getMetadata()
315 md['SFM_ASTROM_OFFSET_MEAN'] = tryMatchDist.distMean.asArcseconds()
316 md['SFM_ASTROM_OFFSET_STD'] = tryMatchDist.distStdDev.asArcseconds()
318 return pipeBase.Struct(
319 refCat=refSelection.sourceCat,
320 matches=res.matches,
321 scatterOnSky=res.scatterOnSky,
322 matchMeta=matchMeta,
323 )
325 @timeMethod
326 def _matchAndFitWcs(self, refCat, sourceCat, goodSourceCat, refFluxField, bbox, wcs, match_tolerance,
327 exposure=None):
328 """Match sources to reference objects and fit a WCS.
330 Parameters
331 ----------
332 refCat : `lsst.afw.table.SimpleCatalog`
333 catalog of reference objects
334 sourceCat : `lsst.afw.table.SourceCatalog`
335 catalog of sources detected on the exposure
336 goodSourceCat : `lsst.afw.table.SourceCatalog`
337 catalog of down-selected good sources detected on the exposure
338 refFluxField : 'str'
339 field of refCat to use for flux
340 bbox : `lsst.geom.Box2I`
341 bounding box of exposure
342 wcs : `lsst.afw.geom.SkyWcs`
343 initial guess for WCS of exposure
344 match_tolerance : `lsst.meas.astrom.MatchTolerance`
345 a MatchTolerance object (or None) specifying
346 internal tolerances to the matcher. See the MatchTolerance
347 definition in the respective matcher for the class definition.
348 exposure : `lsst.afw.image.Exposure`
349 exposure whose WCS is to be fit, or None; used only for the debug
350 display.
352 Returns
353 -------
354 result : `lsst.pipe.base.Struct`
355 Result struct with components:
357 - ``matches``: astrometric matches
358 (`list` of `lsst.afw.table.ReferenceMatch`).
359 - ``wcs``: the fit WCS (lsst.afw.geom.SkyWcs).
360 - ``scatterOnSky`` : median on-sky separation between reference
361 objects and sources in "matches" (`lsst.afw.geom.Angle`).
362 """
363 import lsstDebug
364 debug = lsstDebug.Info(__name__)
366 sourceFluxField = "slot_%sFlux_instFlux" % (self.config.sourceFluxType)
368 matchRes = self.matcher.matchObjectsToSources(
369 refCat=refCat,
370 sourceCat=goodSourceCat,
371 wcs=wcs,
372 sourceFluxField=sourceFluxField,
373 refFluxField=refFluxField,
374 match_tolerance=match_tolerance,
375 )
376 self.log.debug("Found %s matches", len(matchRes.matches))
377 if debug.display:
378 frame = int(debug.frame)
379 displayAstrometry(
380 refCat=refCat,
381 sourceCat=matchRes.usableSourceCat,
382 matches=matchRes.matches,
383 exposure=exposure,
384 bbox=bbox,
385 frame=frame + 1,
386 title="Initial WCS",
387 )
389 if self.config.doMagnitudeOutlierRejection:
390 matches = self._removeMagnitudeOutliers(sourceFluxField, refFluxField, matchRes.matches)
391 else:
392 matches = matchRes.matches
394 self.log.debug("Fitting WCS")
395 fitRes = self.wcsFitter.fitWcs(
396 matches=matches,
397 initWcs=wcs,
398 bbox=bbox,
399 refCat=refCat,
400 sourceCat=sourceCat,
401 exposure=exposure,
402 )
403 fitWcs = fitRes.wcs
404 scatterOnSky = fitRes.scatterOnSky
405 if debug.display:
406 frame = int(debug.frame)
407 displayAstrometry(
408 refCat=refCat,
409 sourceCat=matchRes.usableSourceCat,
410 matches=matches,
411 exposure=exposure,
412 bbox=bbox,
413 frame=frame + 2,
414 title="Fit TAN-SIP WCS",
415 )
417 return pipeBase.Struct(
418 matches=matches,
419 wcs=fitWcs,
420 scatterOnSky=scatterOnSky,
421 match_tolerance=matchRes.match_tolerance,
422 )
424 def _removeMagnitudeOutliers(self, sourceFluxField, refFluxField, matchesIn):
425 """Remove magnitude outliers, computing a simple zeropoint.
427 Parameters
428 ----------
429 sourceFluxField : `str`
430 Field in source catalog for instrumental fluxes.
431 refFluxField : `str`
432 Field in reference catalog for fluxes (nJy).
433 matchesIn : `list` [`lsst.afw.table.ReferenceMatch`]
434 List of source/reference matches input
436 Returns
437 -------
438 matchesOut : `list` [`lsst.afw.table.ReferenceMatch`]
439 List of source/reference matches with magnitude
440 outliers removed.
441 """
442 nMatch = len(matchesIn)
443 sourceMag = np.zeros(nMatch)
444 refMag = np.zeros(nMatch)
445 for i, match in enumerate(matchesIn):
446 sourceMag[i] = -2.5*np.log10(match[1][sourceFluxField])
447 refMag[i] = (match[0][refFluxField]*units.nJy).to_value(units.ABmag)
449 deltaMag = refMag - sourceMag
450 # Protect against negative fluxes and nans in the reference catalog.
451 goodDelta, = np.where(np.isfinite(deltaMag))
452 zp = np.median(deltaMag[goodDelta])
453 # Use median absolute deviation (MAD) for zpSigma.
454 # Also require a minimum scatter to prevent floating-point errors from
455 # rejecting objects in zero-noise tests.
456 zpSigma = np.clip(scipy.stats.median_abs_deviation(deltaMag[goodDelta], scale='normal'),
457 1e-3,
458 None)
460 self.log.info("Rough zeropoint from astrometry matches is %.4f +/- %.4f.",
461 zp, zpSigma)
463 goodStars = goodDelta[(np.abs(deltaMag[goodDelta] - zp)
464 <= self.config.magnitudeOutlierRejectionNSigma*zpSigma)]
466 nOutlier = nMatch - goodStars.size
467 self.log.info("Removed %d magnitude outliers out of %d total astrometry matches.",
468 nOutlier, nMatch)
470 matchesOut = []
471 for matchInd in goodStars:
472 matchesOut.append(matchesIn[matchInd])
474 return matchesOut