LSST Applications  21.0.0-172-gfb10e10a+18fedfabac,22.0.0+297cba6710,22.0.0+80564b0ff1,22.0.0+8d77f4f51a,22.0.0+a28f4c53b1,22.0.0+dcf3732eb2,22.0.1-1-g7d6de66+2a20fdde0d,22.0.1-1-g8e32f31+297cba6710,22.0.1-1-geca5380+7fa3b7d9b6,22.0.1-12-g44dc1dc+2a20fdde0d,22.0.1-15-g6a90155+515f58c32b,22.0.1-16-g9282f48+790f5f2caa,22.0.1-2-g92698f7+dcf3732eb2,22.0.1-2-ga9b0f51+7fa3b7d9b6,22.0.1-2-gd1925c9+bf4f0e694f,22.0.1-24-g1ad7a390+a9625a72a8,22.0.1-25-g5bf6245+3ad8ecd50b,22.0.1-25-gb120d7b+8b5510f75f,22.0.1-27-g97737f7+2a20fdde0d,22.0.1-32-gf62ce7b1+aa4237961e,22.0.1-4-g0b3f228+2a20fdde0d,22.0.1-4-g243d05b+871c1b8305,22.0.1-4-g3a563be+32dcf1063f,22.0.1-4-g44f2e3d+9e4ab0f4fa,22.0.1-42-gca6935d93+ba5e5ca3eb,22.0.1-5-g15c806e+85460ae5f3,22.0.1-5-g58711c4+611d128589,22.0.1-5-g75bb458+99c117b92f,22.0.1-6-g1c63a23+7fa3b7d9b6,22.0.1-6-g50866e6+84ff5a128b,22.0.1-6-g8d3140d+720564cf76,22.0.1-6-gd805d02+cc5644f571,22.0.1-8-ge5750ce+85460ae5f3,master-g6e05de7fdc+babf819c66,master-g99da0e417a+8d77f4f51a,w.2021.48
LSST Data Management Base Package
BuildSingleKernelVisitor.cc
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1 // -*- lsst-c++ -*-
12 #include <memory>
13 #include "Eigen/Core"
14 
15 #include "lsst/afw/math.h"
16 #include "lsst/afw/image.h"
17 #include "lsst/log/Log.h"
20 
24 
25 #define DEBUG_MATRIX 0
26 
27 namespace afwMath = lsst::afw::math;
28 namespace afwImage = lsst::afw::image;
29 namespace dafBase = lsst::daf::base;
31 namespace ipDiffim = lsst::ip::diffim;
32 
33 namespace lsst {
34 namespace ip {
35 namespace diffim {
36 namespace detail {
37 
87  template<typename PixelT>
89  lsst::afw::math::KernelList const& basisList,
92  ) :
93  afwMath::CandidateVisitor(),
94  _basisList(basisList),
95  _ps(ps.deepCopy()),
96  _hMat(),
97  _imstats(ImageStatistics<PixelT>(ps)),
98  _skipBuilt(true),
99  _nRejected(0),
100  _nProcessed(0),
101  _useRegularization(false),
102  _useCoreStats(ps.getAsBool("useCoreStats")),
103  _coreRadius(ps.getAsInt("candidateCoreRadius"))
104  {};
105 
106  template<typename PixelT>
108  lsst::afw::math::KernelList const& basisList,
110  lsst::daf::base::PropertySet const& ps,
111  Eigen::MatrixXd const& hMat
112  ) :
113  afwMath::CandidateVisitor(),
114  _basisList(basisList),
115  _ps(ps.deepCopy()),
116  _hMat(hMat),
117  _imstats(ImageStatistics<PixelT>(ps)),
118  _skipBuilt(true),
119  _nRejected(0),
120  _nProcessed(0),
121  _useRegularization(true),
122  _useCoreStats(ps.getAsBool("useCoreStats")),
123  _coreRadius(ps.getAsInt("candidateCoreRadius"))
124  {};
125 
126 
127  template<typename PixelT>
130  ) {
131 
133  dynamic_cast<ipDiffim::KernelCandidate<PixelT> *>(candidate);
134  if (kCandidate == NULL) {
135  LOGL_DEBUG("TRACE2.ip.diffim.BuildSingleKernelVisitor.processCandidate",
136  "Failed to cast SpatialCellCandidate to KernelCandidate %d",
137  kCandidate->getId());
139  "Failed to cast SpatialCellCandidate to KernelCandidate");
140  }
141 
142  if (_skipBuilt and kCandidate->isInitialized()) {
143  return;
144  }
145 
146  LOGL_DEBUG("TRACE1.ip.diffim.BuildSingleKernelVisitor.processCandidate",
147  "Processing candidate %d", kCandidate->getId());
148  LOGL_DEBUG("TRACE4.ip.diffim.BuildSingleKernelVisitor.processCandidate",
149  "X = %.2f Y = %.2f",
150  kCandidate->getXCenter(),
151  kCandidate->getYCenter());
152 
153  /* Build its kernel here */
154  try {
155  if (_useRegularization)
156  kCandidate->build(_basisList, _hMat);
157  else
158  kCandidate->build(_basisList);
159 
160  } catch (pexExcept::Exception &e) {
162  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
163  "Unable to process candidate %d; exception caught (%s)",
164  kCandidate->getId(),
165  e.what());
166  _nRejected += 1;
167  return;
168  }
169 
170  if (kCandidate->getStatus() == afwMath::SpatialCellCandidate::BAD) {
171  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
172  "Candidate %d Returned BAD upon build, exiting",
173  kCandidate->getId());
174  _nRejected += 1;
175  return;
176  }
177 
178 
179  /*
180  * Make diffim and set chi2 from result. Note that you need to use the
181  * most recent kernel
182  */
184  try {
185  if (_useCoreStats)
186  _imstats.apply(diffim, _coreRadius);
187  else
188  _imstats.apply(diffim);
189  } catch (pexExcept::Exception& e) {
190  LOGL_DEBUG("TRACE2.ip.diffim.BuildSingleKernelVisitor.processCandidate",
191  "Unable to calculate imstats for Candidate %d", kCandidate->getId());
193  return;
194  }
195  _nProcessed += 1;
196 
197  kCandidate->setChi2(_imstats.getVariance());
198 
199  /* When using a Pca basis, we don't reset the kernel or background,
200  so we need to evaluate these locally for the Trace */
201  double kSum = kCandidate->getKsum(ipDiffim::KernelCandidate<PixelT>::RECENT);
203 
204  LOGL_DEBUG("TRACE4.ip.diffim.BuildSingleKernelVisitor.processCandidate",
205  "Chi2 = %.3f", kCandidate->getChi2());
206  LOGL_DEBUG("TRACE4.ip.diffim.BuildSingleKernelVisitor.processCandidate",
207  "Kernel Sum = %.3f", kSum);
208  LOGL_DEBUG("TRACE4.ip.diffim.BuildSingleKernelVisitor.processCandidate",
209  "Background = %.3f", background);
210  LOGL_DEBUG("TRACE2.ip.diffim.BuildSingleKernelVisitor.processCandidate",
211  "Candidate %d resids = %.3f +/- %.3f sigma (%d pix)",
212  kCandidate->getId(),
213  _imstats.getMean(),
214  _imstats.getRms(),
215  _imstats.getNpix());
216 
217  bool meanIsNan = std::isnan(_imstats.getMean());
218  bool rmsIsNan = std::isnan(_imstats.getRms());
219  if (meanIsNan || rmsIsNan) {
221  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
222  "Rejecting candidate %d, encountered NaN",
223  kCandidate->getId());
224  _nRejected += 1;
225  return;
226  }
227 
228  if (_ps->getAsBool("singleKernelClipping")) {
229  if (fabs(_imstats.getMean()) > _ps->getAsDouble("candidateResidualMeanMax")) {
231  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
232  "Rejecting candidate %d; bad mean residual : |%.3f| > %.3f",
233  kCandidate->getId(),
234  _imstats.getMean(),
235  _ps->getAsDouble("candidateResidualMeanMax"));
236  _nRejected += 1;
237  }
238  else if (_imstats.getRms() > _ps->getAsDouble("candidateResidualStdMax")) {
240  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
241  "Rejecting candidate %d; bad residual rms : %.3f > %.3f",
242  kCandidate->getId(),
243  _imstats.getRms(),
244  _ps->getAsDouble("candidateResidualStdMax"));
245  _nRejected += 1;
246  }
247  else {
249  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
250  "Source kernel OK");
251  }
252  }
253  else {
255  LOGL_DEBUG("TRACE5.ip.diffim.BuildSingleKernelVisitor.processCandidate",
256  "Sigma clipping not enabled");
257  }
258 
259  /* Core resids for debugging */
260  if (!(_useCoreStats)) {
261  try {
262  _imstats.apply(diffim, _coreRadius);
263  } catch (pexExcept::Exception& e) {
264  LOGL_DEBUG("TRACE2.ip.diffim.BuildSingleKernelVisitor.processCandidate",
265  "Unable to calculate core imstats for Candidate %d",
266  kCandidate->getId());
268  return;
269  }
270  LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
271  "Candidate %d core resids = %.3f +/- %.3f sigma (%d pix)",
272  kCandidate->getId(),
273  _imstats.getMean(),
274  _imstats.getRms(),
275  _imstats.getNpix());
276  }
277 
278  }
279 
280  typedef float PixelT;
281 
282  template class BuildSingleKernelVisitor<PixelT>;
283 
287 
291  Eigen::MatrixXd const &);
292 
293 }}}} // end of namespace lsst::ip::diffim::detail
Declaration of BuildSingleKernelVisitor.
#define LSST_EXCEPT(type,...)
Create an exception with a given type.
Definition: Exception.h:48
afw::table::Key< afw::table::Array< ImagePixelT > > image
Image Subtraction helper functions.
Class used by SpatialModelCell for spatial Kernel fitting.
LSST DM logging module built on log4cxx.
#define LOGL_DEBUG(logger, message...)
Log a debug-level message using a varargs/printf style interface.
Definition: Log.h:515
A class to manipulate images, masks, and variance as a single object.
Definition: MaskedImage.h:73
Base class for candidate objects in a SpatialCell.
Definition: SpatialCell.h:70
float getYCenter() const
Return the object's row-centre.
Definition: SpatialCell.h:91
float getXCenter() const
Return the object's column-centre.
Definition: SpatialCell.h:88
int getId() const
Return the candidate's unique ID.
Definition: SpatialCell.h:102
void setStatus(Status status)
Set the candidate's status.
Definition: SpatialCell.cc:53
Status getStatus() const
Return the candidate's status.
Definition: SpatialCell.h:104
double getChi2() const
Return the candidate's chi^2.
Definition: SpatialCell.h:146
void setChi2(double chi2)
Set the candidate's chi^2.
Definition: SpatialCell.h:148
Class for storing generic metadata.
Definition: PropertySet.h:66
Class to calculate difference image statistics.
Class stored in SpatialCells for spatial Kernel fitting.
afw::image::MaskedImage< PixelT > getDifferenceImage(CandidateSwitch cand)
Calculate associated difference image using internal solutions.
double getBackground(CandidateSwitch cand) const
double getKsum(CandidateSwitch cand) const
void build(afw::math::KernelList const &basisList)
Core functionality of KernelCandidate, to build and fill a KernelSolution.
Builds the convolution kernel for a given candidate.
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
BuildSingleKernelVisitor(lsst::afw::math::KernelList const &basisList, lsst::daf::base::PropertySet const &ps)
Provides consistent interface for LSST exceptions.
Definition: Exception.h:107
virtual char const * what(void) const noexcept
Return a character string summarizing this exception.
Definition: Exception.cc:99
Reports errors in the logical structure of the program.
Definition: Runtime.h:46
T isnan(T... args)
Backwards-compatibility support for depersisting the old Calib (FluxMag0/FluxMag0Err) objects.
template std::shared_ptr< BuildSingleKernelVisitor< PixelT > > makeBuildSingleKernelVisitor< PixelT >(lsst::afw::math::KernelList const &, lsst::daf::base::PropertySet const &)
A base class for image defects.