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92 lines
3.5 KiB
C++
92 lines
3.5 KiB
C++
/*
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* CorrelatorFitter.hpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2020 Antonin Portelli
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*
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* LatAnalyze 3 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef Latan_CorrelatorFitter_hpp_
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#define Latan_CorrelatorFitter_hpp_
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#include <LatAnalyze/Global.hpp>
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#include <LatAnalyze/Functional/Model.hpp>
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#include <LatAnalyze/Statistics/XYSampleData.hpp>
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BEGIN_LATAN_NAMESPACE
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/******************************************************************************
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* Correlator types & models *
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******************************************************************************/
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enum class CorrelatorType {undefined, exp, cosh, sinh, linear, cst};
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namespace CorrelatorModels
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{
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struct ModelPar
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{
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CorrelatorType type;
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Index nState;
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};
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DoubleModel makeExpModel(const Index nState);
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DoubleModel makeCoshModel(const Index nState, const Index nt);
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DoubleModel makeSinhModel(const Index nState, const Index nt);
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DoubleModel makeConstModel(void);
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DoubleModel makeLinearModel(void);
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ModelPar parseModel(const std::string s);
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DoubleModel makeModel(const ModelPar par, const Index nt);
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DVec parameterGuess(const DMatSample &corr, const ModelPar par);
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};
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/******************************************************************************
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* Correlator fit utility class *
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******************************************************************************/
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class CorrelatorFitter
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{
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public:
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// constructors
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CorrelatorFitter(const DMatSample &corr);
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CorrelatorFitter(const std::vector<DMatSample> &corr);
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// destructor
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virtual ~CorrelatorFitter(void) = default;
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// access
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XYSampleData & data(void);
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void setCorrelator(const DMatSample &corr);
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void setCorrelators(const std::vector<DMatSample> &corr);
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const DMatSample & getCorrelator(const Index i = 0) const;
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const std::vector<DMatSample> & getCorrelators(void) const;
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void setModel(const DoubleModel &model, const Index i = 0);
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const DoubleModel & getModel(const Index i = 0) const;
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void setFitRange(const Index tMin, const Index tMax, const Index i = 0);
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void setCorrelation(const bool isCorrelated, const Index i = 0,
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const Index j = 0);
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DMat getVarianceMatrix(void) const;
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void setThinning(const Index thinning, const Index i = 0);
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// fit functions
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SampleFitResult fit(Minimizer &minimizer, const DVec &init);
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SampleFitResult fit(std::vector<Minimizer *> &minimizer, const DVec &init);
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private:
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// internal function to refresh fit ranges
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void refreshRanges(void);
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private:
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Index nt_{0};
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std::unique_ptr<XYSampleData> data_;
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std::vector<DoubleModel> model_;
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std::vector<std::pair<Index, Index>> range_;
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std::vector<Index> thinning_;
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};
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END_LATAN_NAMESPACE
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#endif // Latan_CorrelatorFitter_hpp_
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