#include <FitFractions.hpp>
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std::tuple< std::vector< double >, std::vector< std::vector< double > > > | buildJacobiAndCovariance (const std::tuple< double, std::vector< DerivativeData >> &NominatorDerivatives, const std::tuple< double, std::vector< DerivativeData >> &DenominatorDerivatives, const ComPWA::FitResult &Result) |
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std::tuple< std::string, double, std::vector< FitFractions::DerivativeData > > | getIntegralData (IntensityComponent IntensComponent, const ComPWA::Data::DataSet &PhspSample, const ComPWA::FitResult &Result) |
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std::tuple< double, std::vector< FitFractions::DerivativeData > > | calculateIntensityIntegralData (ComPWA::Intensity &Intens, const ComPWA::Data::DataSet &PhspSample, const ComPWA::FitResult &Result) |
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Definition at line 35 of file FitFractions.hpp.
◆ buildJacobiAndCovariance()
std::tuple< std::vector< double >, std::vector< std::vector< double > > > ComPWA::Tools::FitFractions::buildJacobiAndCovariance |
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const std::tuple< double, std::vector< DerivativeData >> & |
NominatorDerivatives, |
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const std::tuple< double, std::vector< DerivativeData >> & |
DenominatorDerivatives, |
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const ComPWA::FitResult & |
Result |
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◆ calculateFitFractionsWithCovarianceErrorPropagation()
Calculates the fit fractions with errors via error propagation from the covariance matrix.
The gradients are calculated via numerical differentiation:
Definition at line 30 of file FitFractions.cpp.
◆ calculateIntensityIntegralData()
◆ getIntegralData()
◆ IntensityGradientDataMapping
std::map<std::string, std::tuple<double, std::vector<DerivativeData> > > ComPWA::Tools::FitFractions::IntensityGradientDataMapping |
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The documentation for this class was generated from the following files: