lsst.ip.diffim g36da64cc00+ea84795170
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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
27namespace afwMath = lsst::afw::math;
28namespace afwImage = lsst::afw::image;
29namespace dafBase = lsst::daf::base;
31namespace ipDiffim = lsst::ip::diffim;
32
33namespace lsst {
34namespace ip {
35namespace diffim {
36namespace detail {
37
87 template<typename PixelT>
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>
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
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) {
161 kCandidate->setStatus(afwMath::SpatialCellCandidate::BAD);
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());
192 kCandidate->setStatus(afwMath::SpatialCellCandidate::BAD);
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 */
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) {
220 kCandidate->setStatus(afwMath::SpatialCellCandidate::BAD);
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")) {
230 kCandidate->setStatus(afwMath::SpatialCellCandidate::BAD);
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")) {
239 kCandidate->setStatus(afwMath::SpatialCellCandidate::BAD);
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 {
248 kCandidate->setStatus(afwMath::SpatialCellCandidate::GOOD);
249 LOGL_DEBUG("TRACE3.ip.diffim.BuildSingleKernelVisitor.processCandidate",
250 "Source kernel OK");
251 }
252 }
253 else {
254 kCandidate->setStatus(afwMath::SpatialCellCandidate::GOOD);
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());
267 kCandidate->setStatus(afwMath::SpatialCellCandidate::BAD);
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,...)
Image Subtraction helper functions.
Class used by SpatialModelCell for spatial Kernel fitting.
#define LOGL_DEBUG(logger, message...)
Class to calculate difference image statistics.
Class stored in SpatialCells for spatial Kernel fitting.
Asseses the quality of a candidate given a spatial kernel and background model.
AssessSpatialKernelVisitor(std::shared_ptr< lsst::afw::math::LinearCombinationKernel > spatialKernel, lsst::afw::math::Kernel::SpatialFunctionPtr spatialBackground, lsst::daf::base::PropertySet const &ps)
void processCandidate(lsst::afw::math::SpatialCellCandidate *candidate)
BuildSingleKernelVisitor(lsst::afw::math::KernelList const &basisList, lsst::daf::base::PropertySet const &ps)
T isnan(T... args)
template std::shared_ptr< BuildSingleKernelVisitor< PixelT > > makeBuildSingleKernelVisitor< PixelT >(lsst::afw::math::KernelList const &, lsst::daf::base::PropertySet const &)