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LSST Data Management Base Package
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FitterBase.h
Go to the documentation of this file.
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#ifndef LSST_JOINTCAL_FITTER_BASE_H
26#define LSST_JOINTCAL_FITTER_BASE_H
27
28#include <utility>
29
30#include "lsst/log/Log.h"
33#include "lsst/jointcal/Chi2.h"
37
38namespace lsst {
39namespace jointcal {
40
42enum class MinimizeResult {
43 Converged, // fit has converged - no more outliers
44 Chi2Increased, // still some ouliers but chi2 increases
45 Failed, // factorization failed
46 NonFinite // non-finite chi2 statistic
47};
48
56public:
58 : _associations(std::move(associations)),
59 _whatToFit(""),
60 _lastNTrip(0),
61 _nTotal(0),
63 _nStarParams(0) {}
64
66 FitterBase(FitterBase const &) = delete;
67 FitterBase(FitterBase &&) = delete;
68 FitterBase &operator=(FitterBase const &) = delete;
70
115 MinimizeResult minimize(std::string const &whatToFit, double nSigmaCut = 0,
116 double sigmaRelativeTolerance = 0, bool doRankUpdate = true,
117 bool doLineSearch = false, std::string const &dumpMatrixFile = "");
118
123
133 void leastSquareDerivatives(TripletList &tripletList, Eigen::VectorXd &grad) const;
134
143 virtual void offsetParams(Eigen::VectorXd const &delta) = 0;
144
150 virtual void assignIndices(std::string const &whatToFit) = 0;
151
160 virtual void saveChi2Contributions(std::string const &baseName) const;
161
162 virtual ~FitterBase() = default;
163
164protected:
167
168 Eigen::Index _lastNTrip; // last triplet count, used to speed up allocation
169 Eigen::Index _nTotal; // Total number of parameters being fit.
170 Eigen::Index _nModelParams; // Number of model parameters that are being fit.
171 Eigen::Index _nStarParams; // Number of star positions/fluxes that are being fit.
172
173 // lsst.logging instance, to be created by subclass so that messages have consistent name while fitting.
175
177 virtual void saveChi2MeasContributions(std::string const &filename) const = 0;
178
180 virtual void saveChi2RefContributions(std::string const &filename) const = 0;
181
199 std::size_t findOutliers(double nSigmaCut, MeasuredStarList &msOutliers,
200 FittedStarList &fsOutliers, double &cut) const;
201
206 void outliersContributions(MeasuredStarList &msOutliers, FittedStarList &fsOutliers,
207 TripletList &tripletList, Eigen::VectorXd &grad);
208
210 void removeMeasOutliers(MeasuredStarList &outliers);
211
213 void removeRefOutliers(FittedStarList &outliers);
214
216 virtual void getIndicesOfMeasuredStar(MeasuredStar const &measuredStar, IndexVector &indices) const = 0;
217
219 virtual void accumulateStatImageList(CcdImageList const &ccdImageList, Chi2Accumulator &accum) const = 0;
220
222 virtual void accumulateStatRefStars(Chi2Accumulator &accum) const = 0;
223
230 CcdImage const &ccdImage, TripletList &tripletList, Eigen::VectorXd &grad,
231 MeasuredStarList const *measuredStarList = nullptr) const = 0;
232
234 virtual void leastSquareDerivativesReference(FittedStarList const &fittedStarList,
235 TripletList &tripletList, Eigen::VectorXd &grad) const = 0;
236
237private:
248 double _lineSearch(Eigen::VectorXd const &delta);
249};
250} // namespace jointcal
251} // namespace lsst
252#endif // LSST_JOINTCAL_FITTER_BASE_H
LSST DM logging module built on log4cxx.
#define LOG_LOGGER
Definition Log.h:714
Handler of an actual image from a single CCD.
Definition CcdImage.h:64
Base class for Chi2Statistic and Chi2List, to allow addEntry inside Fitter for either class.
Definition Chi2.h:44
Simple structure to accumulate chi2 and ndof.
Definition Chi2.h:52
A list of FittedStar s. Such a list is typically constructed by Associations.
Definition FittedStar.h:116
Base class for fitters.
Definition FitterBase.h:55
FitterBase & operator=(FitterBase &&)=delete
void leastSquareDerivatives(TripletList &tripletList, Eigen::VectorXd &grad) const
Evaluates the chI^2 derivatives (Jacobian and gradient) for the current whatToFit setting.
void removeRefOutliers(FittedStarList &outliers)
Remove refStar outliers from the fit. No Refit done.
virtual void getIndicesOfMeasuredStar(MeasuredStar const &measuredStar, IndexVector &indices) const =0
Set the indices of a measured star from the full matrix, for outlier removal.
Chi2Statistic computeChi2() const
Returns the chi2 for the current state.
Definition FitterBase.cc:43
FitterBase(FitterBase &&)=delete
virtual void saveChi2MeasContributions(std::string const &filename) const =0
Save a CSV file containing residuals of measurement terms.
virtual void leastSquareDerivativesReference(FittedStarList const &fittedStarList, TripletList &tripletList, Eigen::VectorXd &grad) const =0
Compute the derivatives of the reference terms.
MinimizeResult minimize(std::string const &whatToFit, double nSigmaCut=0, double sigmaRelativeTolerance=0, bool doRankUpdate=true, bool doLineSearch=false, std::string const &dumpMatrixFile="")
Does a 1 step minimization, assuming a linear model.
virtual ~FitterBase()=default
virtual void saveChi2Contributions(std::string const &baseName) const
Save the full chi2 term per star that was used in the minimization, for debugging.
FitterBase & operator=(FitterBase const &)=delete
virtual void assignIndices(std::string const &whatToFit)=0
Set parameters to fit and assign indices in the big matrix.
virtual void offsetParams(Eigen::VectorXd const &delta)=0
Offset the parameters by the requested quantities.
std::shared_ptr< Associations > _associations
Definition FitterBase.h:165
virtual void accumulateStatRefStars(Chi2Accumulator &accum) const =0
Compute the chi2 (per star or total, depending on which Chi2Accumulator is used) for RefStars.
virtual void saveChi2RefContributions(std::string const &filename) const =0
Save a CSV file containing residuals of reference terms.
FitterBase(std::shared_ptr< Associations > associations)
Definition FitterBase.h:57
virtual void leastSquareDerivativesMeasurement(CcdImage const &ccdImage, TripletList &tripletList, Eigen::VectorXd &grad, MeasuredStarList const *measuredStarList=nullptr) const =0
Compute the derivatives of the measured stars and model for one CcdImage.
void outliersContributions(MeasuredStarList &msOutliers, FittedStarList &fsOutliers, TripletList &tripletList, Eigen::VectorXd &grad)
Contributions to derivatives from (presumably) outlier terms.
std::size_t findOutliers(double nSigmaCut, MeasuredStarList &msOutliers, FittedStarList &fsOutliers, double &cut) const
Find Measurements and references contributing more than a cut, computed as.
Definition FitterBase.cc:53
virtual void accumulateStatImageList(CcdImageList const &ccdImageList, Chi2Accumulator &accum) const =0
Compute the chi2 (per star or total, depending on which Chi2Accumulator is used) for measurements.
FitterBase(FitterBase const &)=delete
No copy or move: there is only ever one fitter of a given type.
void removeMeasOutliers(MeasuredStarList &outliers)
Remove measuredStar outliers from the fit. No Refit done.
Sources measured on images.
A list of MeasuredStar. They are usually filled in Associations::createCcdImage.
T move(T... args)
MinimizeResult
Return value of minimize()
Definition FitterBase.h:42
STL namespace.