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LSST Applications 28.0.0,g1653933729+a8ce1bb630,g1a997c3884+a8ce1bb630,g28da252d5a+5bd70b7e6d,g2bbee38e9b+638fca75ac,g2bc492864f+638fca75ac,g3156d2b45e+07302053f8,g347aa1857d+638fca75ac,g35bb328faa+a8ce1bb630,g3a166c0a6a+638fca75ac,g3e281a1b8c+7bbb0b2507,g4005a62e65+17cd334064,g414038480c+5b5cd4fff3,g41af890bb2+4ffae9de63,g4e1a3235cc+0f1912dca3,g6249c6f860+3c3976f90c,g80478fca09+46aba80bd6,g82479be7b0+77990446f6,g858d7b2824+78ba4d1ce1,g89c8672015+f667a5183b,g9125e01d80+a8ce1bb630,ga5288a1d22+2a6264e9ca,gae0086650b+a8ce1bb630,gb58c049af0+d64f4d3760,gc22bb204ba+78ba4d1ce1,gc28159a63d+638fca75ac,gcf0d15dbbd+32ddb6096f,gd6b7c0dfd1+3e339405e9,gda3e153d99+78ba4d1ce1,gda6a2b7d83+32ddb6096f,gdaeeff99f8+1711a396fd,gdd5a9049c5+b18c39e5e3,ge2409df99d+a5e4577cdc,ge33fd446bb+78ba4d1ce1,ge79ae78c31+638fca75ac,gf0baf85859+64e8883e75,gf5289d68f6+e1b046a8d7,gfa443fc69c+91d9ed1ecf,gfda6b12a05+8419469a56
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PhotometryMapping.cc
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1// -*- LSST-C++ -*-
2/*
3 * This file is part of jointcal.
4 *
5 * Developed for the LSST Data Management System.
6 * This product includes software developed by the LSST Project
7 * (https://www.lsst.org).
8 * See the COPYRIGHT file at the top-level directory of this distribution
9 * for details of code ownership.
10 *
11 * This program is free software: you can redistribute it and/or modify
12 * it under the terms of the GNU General Public License as published by
13 * the Free Software Foundation, either version 3 of the License, or
14 * (at your option) any later version.
15 *
16 * This program is distributed in the hope that it will be useful,
17 * but WITHOUT ANY WARRANTY; without even the implied warranty of
18 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
19 * GNU General Public License for more details.
20 *
21 * You should have received a copy of the GNU General Public License
22 * along with this program. If not, see <https://www.gnu.org/licenses/>.
23 */
24
25#include <cmath>
26
27#include "lsst/log/Log.h"
28
31
32namespace {
33LOG_LOGGER _log = LOG_GET("lsst.jointcal.PhotometryMapping");
34}
35
36namespace lsst {
37namespace jointcal {
38
40 if (indices.size() < getNpar()) indices.resize(getNpar());
41 // If we're fitting the chip mapping, fill those indices.
42 if (_nParChip > 0) {
43 _chipMapping->getMappingIndices(indices);
44 }
45 // If we're fitting the visit mapping, fill those indices.
46 if (_nParVisit > 0) {
47 // TODO DM-12169: there is probably a better way to feed a subpart of a std::vector
48 // (maybe a view or iterators?)
49 IndexVector tempIndices(_visitMapping->getNpar());
50 _visitMapping->getMappingIndices(tempIndices);
51 // We have to insert the visit indices starting after the chip indices.
52 for (std::size_t k = 0; k < _visitMapping->getNpar(); ++k) {
53 indices.at(k + _nParChip) = tempIndices.at(k);
54 }
55 }
56}
57
58void ChipVisitPhotometryMapping::setWhatToFit(bool const fittingChips, bool const fittingVisits) {
59 if (fittingChips) {
60 _nParChip = _chipMapping->getNpar();
61 } else {
62 _nParChip = 0;
63 }
64 if (fittingVisits) {
65 _nParVisit = _visitMapping->getNpar();
66 } else {
67 _nParVisit = 0;
68 }
69}
70
71// ChipVisitFluxMapping methods
72
73double ChipVisitFluxMapping::transformError(MeasuredStar const &measuredStar, double instFlux,
74 double instFluxErr) const {
75 // The transformed error is s_m = dM(f,x,y)/df + s_f.
76 double tempFlux =
77 _chipMapping->getTransformErrors()->transform(measuredStar.x, measuredStar.y, instFluxErr);
78 return _visitMapping->getTransformErrors()->transform(measuredStar.getXFocal(), measuredStar.getYFocal(),
79 tempFlux);
80}
81
82void ChipVisitFluxMapping::computeParameterDerivatives(MeasuredStar const &measuredStar, double instFlux,
83 Eigen::Ref<Eigen::VectorXd> derivatives) const {
84 // TODO DM-12161: possible optimization is to merge transform and computeDerivatives,
85 // and/or save these intermediate calculations when transforming flux to use in derivatives.
86 // Like what AstrometryMappings do with `computeTransformAndDerivatives` vs. `transformPosAndErrors`.
87
88 double chipScale = _chipMapping->getTransform()->transform(measuredStar.x, measuredStar.y, 1);
89 double visitScale =
90 _visitMapping->getTransform()->transform(measuredStar.getXFocal(), measuredStar.getYFocal(), 1);
91
92 // NOTE: chipBlock is the product of the chip derivatives and the visit transforms, and vice versa.
93 // NOTE: See DMTN-036 for the math behind this.
94 if (getNParChip() > 0 && !_chipMapping->isFixed()) {
95 // The chip derivatives start at 0, independent of the full-fit indices.
96 Eigen::Ref<Eigen::VectorXd> chipBlock = derivatives.segment(0, getNParChip());
97 _chipMapping->getTransform()->computeParameterDerivatives(measuredStar.x, measuredStar.y, instFlux,
98 chipBlock);
99 chipBlock *= visitScale;
100 }
101 if (getNParVisit() > 0) {
102 // The visit derivatives start at the last chip derivative, independent of the full-fit indices.
103 Eigen::Ref<Eigen::VectorXd> visitBlock = derivatives.segment(getNParChip(), getNParVisit());
104 _visitMapping->getTransform()->computeParameterDerivatives(
105 measuredStar.getXFocal(), measuredStar.getYFocal(), instFlux, visitBlock);
106 visitBlock *= chipScale;
107 }
108}
109
110// ChipVisitMagnitudeMapping methods
111
112double ChipVisitMagnitudeMapping::transformError(MeasuredStar const &measuredStar, double instFlux,
113 double instFluxErr) const {
114 // The transformed error is s_mout = 2.5/ln(10) * instFluxErr / instFlux
115 // because the other components of the mapping (f0, the polynomials) disappear in the partial derivative.
116 return 2.5 / std::log(10.0) * instFluxErr / instFlux;
117}
118
120 Eigen::Ref<Eigen::VectorXd> derivatives) const {
121 // TODO DM-12161: possible optimization is to merge transform and computeDerivatives,
122 // and/or save these intermediate calculations when transforming flux to use in derivatives.
123 // Like what AstrometryMappings do with `computeTransformAndDerivatives` vs. `transformPosAndErrors`.
124
125 // NOTE: See DMTN-036 for the math behind this.
126 if (getNParChip() > 0 && !_chipMapping->isFixed()) {
127 // The chip derivatives start at 0, independent of the full-fit indices.
128 Eigen::Ref<Eigen::VectorXd> chipBlock = derivatives.segment(0, getNParChip());
129 _chipMapping->getTransform()->computeParameterDerivatives(measuredStar.x, measuredStar.y, instFlux,
130 chipBlock);
131 }
132 if (getNParVisit() > 0) {
133 // The visit derivatives start at the last chip derivative, independent of the full-fit indices.
134 Eigen::Ref<Eigen::VectorXd> visitBlock = derivatives.segment(getNParChip(), getNParVisit());
135 _visitMapping->getTransform()->computeParameterDerivatives(
136 measuredStar.getXFocal(), measuredStar.getYFocal(), instFlux, visitBlock);
137 }
138}
139
140} // namespace jointcal
141} // namespace lsst
LSST DM logging module built on log4cxx.
#define LOG_GET(logger)
Returns a Log object associated with logger.
Definition Log.h:75
#define LOG_LOGGER
Definition Log.h:714
T at(T... args)
void computeParameterDerivatives(MeasuredStar const &measuredStar, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const override
Compute the derivatives with respect to the parameters (i.e.
double transformError(MeasuredStar const &measuredStar, double value, double valueErr) const override
Return the on-sky transformed flux uncertainty for measuredStar on ccdImage.
void computeParameterDerivatives(MeasuredStar const &measuredStar, double value, Eigen::Ref< Eigen::VectorXd > derivatives) const override
Compute the derivatives with respect to the parameters (i.e.
double transformError(MeasuredStar const &measuredStar, double value, double valueErr) const override
Return the on-sky transformed flux uncertainty for measuredStar on ccdImage.
std::shared_ptr< PhotometryMapping > _visitMapping
std::shared_ptr< PhotometryMapping > _chipMapping
std::size_t getNpar() const override
Number of total parameters in this mapping.
void setWhatToFit(bool fittingChips, bool fittingVisits)
Set whether to fit chips or visits.
void getMappingIndices(IndexVector &indices) const override
Gets how this set of parameters (of length getNpar()) map into the "grand" fit.
Sources measured on images.
double x
coordinate
Definition Point.h:42
T log(T... args)