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code cleaning
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@ -23,6 +23,9 @@
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using namespace std;
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using namespace Latan;
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/******************************************************************************
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* Correlator models *
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******************************************************************************/
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DoubleModel CorrelatorModels::makeExpModel(const Index nState)
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{
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DoubleModel mod;
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@ -224,6 +227,10 @@ DVec CorrelatorModels::parameterGuess(const DMatSample &corr,
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return init;
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}
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/******************************************************************************
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* CorrelatorFitter implementation *
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******************************************************************************/
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// constructors ////////////////////////////////////////////////////////////////
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CorrelatorFitter::CorrelatorFitter(const DMatSample &corr)
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{
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setCorrelator(corr);
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@ -234,6 +241,7 @@ CorrelatorFitter::CorrelatorFitter(const std::vector<DMatSample> &corr)
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setCorrelators(corr);
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}
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// access //////////////////////////////////////////////////////////////////////
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XYSampleData & CorrelatorFitter::data(void)
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{
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return *data_;
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@ -294,7 +302,7 @@ void CorrelatorFitter::setCorrelation(const bool isCorrelated, const Index i,
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data_->assumeYYCorrelated(isCorrelated, i, j);
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}
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DMat CorrelatorFitter::getVarianceMatrix(void)
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DMat CorrelatorFitter::getVarianceMatrix(void) const
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{
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return data_->getFitVarMat();
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}
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@ -305,6 +313,7 @@ void CorrelatorFitter::setThinning(const Index thinning, const Index i)
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refreshRanges();
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}
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// fit functions ///////////////////////////////////////////////////////////////
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SampleFitResult CorrelatorFitter::fit(Minimizer &minimizer, const DVec &init)
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{
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vector<Minimizer *> vecPt = {&minimizer};
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@ -325,6 +334,7 @@ SampleFitResult CorrelatorFitter::fit(vector<Minimizer *> &minimizer,
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return data_->fit(minimizer, init, vecPt);
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}
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// internal function to refresh fit ranges /////////////////////////////////////
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void CorrelatorFitter::refreshRanges(void)
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{
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for (unsigned int i = 0; i < range_.size(); ++i)
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@ -26,6 +26,9 @@
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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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@ -46,12 +49,18 @@ namespace CorrelatorModels
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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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@ -62,11 +71,13 @@ public:
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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);
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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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@ -23,6 +23,9 @@
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using namespace std;
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using namespace Latan;
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/******************************************************************************
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* EffectiveMass implementation *
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******************************************************************************/
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// constructors ////////////////////////////////////////////////////////////////
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EffectiveMass::EffectiveMass(const CorrelatorType type)
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{
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