LSST Applications g04e9c324dd+8c5ae1fdc5,g134cb467dc+b203dec576,g18429d2f64+358861cd2c,g199a45376c+0ba108daf9,g1fd858c14a+dd066899e3,g262e1987ae+ebfced1d55,g29ae962dfc+72fd90588e,g2cef7863aa+aef1011c0b,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+b668f15bc5,g4595892280+3897dae354,g47891489e3+abcf9c3559,g4d44eb3520+fb4ddce128,g53246c7159+8c5ae1fdc5,g67b6fd64d1+abcf9c3559,g67fd3c3899+1f72b5a9f7,g74acd417e5+cb6b47f07b,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+abcf9c3559,g8d7436a09f+bcf525d20c,g8ea07a8fe4+9f5ccc88ac,g90f42f885a+6054cc57f1,g97be763408+06f794da49,g9dd6db0277+1f72b5a9f7,ga681d05dcb+7e36ad54cd,gabf8522325+735880ea63,gac2eed3f23+abcf9c3559,gb89ab40317+abcf9c3559,gbf99507273+8c5ae1fdc5,gd8ff7fe66e+1f72b5a9f7,gdab6d2f7ff+cb6b47f07b,gdc713202bf+1f72b5a9f7,gdfd2d52018+8225f2b331,ge365c994fd+375fc21c71,ge410e46f29+abcf9c3559,geaed405ab2+562b3308c0,gf9a733ac38+8c5ae1fdc5,w.2025.35
LSST Data Management Base Package
Loading...
Searching...
No Matches
BuildSingleKernelVisitor.cc
Go to the documentation of this file.
1// -*- lsst-c++ -*-
11
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
27namespace afwMath = lsst::afw::math;
28namespace afwImage = lsst::afw::image;
29namespace dafBase = lsst::daf::base;
30namespace pexExcept = lsst::pex::exceptions;
31namespace ipDiffim = lsst::ip::diffim;
32
33namespace lsst {
34namespace ip {
35namespace diffim {
36namespace detail {
37
87 template<typename PixelT>
89 lsst::afw::math::KernelList const& basisList,
92 ) :
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,
111 Eigen::MatrixXd const& hMat
112 ) :
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());
138 throw LSST_EXCEPT(pexExcept::LogicError,
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);
202 double background = kCandidate->getBackground(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
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
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
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.
void setStatus(Status status)
Set the candidate's status.
Status getStatus() const
Return the candidate's status.
double getChi2() const
Return the candidate's chi^2.
void setChi2(double chi2)
Set the candidate's chi^2.
Class for storing generic metadata.
Definition PropertySet.h:67
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)
T isnan(T... args)
std::vector< std::shared_ptr< Kernel > > KernelList
Definition Kernel.h:462
template std::shared_ptr< BuildSingleKernelVisitor< PixelT > > makeBuildSingleKernelVisitor< PixelT >(lsst::afw::math::KernelList const &, lsst::daf::base::PropertySet const &)