129 lines
5.3 KiB
C++
129 lines
5.3 KiB
C++
/***************************************************************************
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PFitterFcn.cpp
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Author: Andreas Suter
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e-mail: andreas.suter@psi.ch
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***************************************************************************/
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/***************************************************************************
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* Copyright (C) 2007-2019 by Andreas Suter *
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* andreas.suter@psi.ch *
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* *
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* This program 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 2 of the License, or *
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* (at your option) any later version. *
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* *
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* This program 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 this program; if not, write to the *
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* Free Software Foundation, Inc., *
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* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
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***************************************************************************/
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#include "PFitterFcn.h"
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//--------------------------------------------------------------------------
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// Constructor
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//--------------------------------------------------------------------------
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/**
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* <p>Constructor.
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*
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* \param runList run list collection
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* \param useChi2 if true, a chisq fit will be performed, otherwise a log max-likelihood fit will be carried out.
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*/
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PFitterFcn::PFitterFcn(PRunListCollection *runList, Bool_t useChi2)
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{
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fUseChi2 = useChi2;
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if (fUseChi2)
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fUp = 1.0;
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else
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fUp = 0.5;
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fRunListCollection = runList;
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}
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//--------------------------------------------------------------------------
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// Destructor
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//--------------------------------------------------------------------------
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/**
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* <p>Destructor
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*/
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PFitterFcn::~PFitterFcn()
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{
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}
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//--------------------------------------------------------------------------
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// operator()
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//--------------------------------------------------------------------------
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/**
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* <p>Minuit2 interface function call routine. This is the function which should be minimized.
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*
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* \param par a vector with all the parameters of the function
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*/
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Double_t PFitterFcn::operator()(const std::vector<Double_t>& par) const
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{
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Double_t value = 0.0;
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if (fUseChi2) { // chi square
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value += fRunListCollection->GetSingleHistoChisq(par);
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value += fRunListCollection->GetSingleHistoRRFChisq(par);
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value += fRunListCollection->GetAsymmetryChisq(par);
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value += fRunListCollection->GetAsymmetryRRFChisq(par);
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value += fRunListCollection->GetAsymmetryBNMRChisq(par);
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value += fRunListCollection->GetMuMinusChisq(par);
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value += fRunListCollection->GetNonMusrChisq(par);
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} else { // max likelihood
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value += fRunListCollection->GetSingleHistoMaximumLikelihood(par);
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value += fRunListCollection->GetSingleHistoRRFMaximumLikelihood(par);
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value += fRunListCollection->GetAsymmetryMaximumLikelihood(par);
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value += fRunListCollection->GetAsymmetryRRFMaximumLikelihood(par);
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value += fRunListCollection->GetAsymmetryBNMRMaximumLikelihood(par);
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value += fRunListCollection->GetMuMinusMaximumLikelihood(par);
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value += fRunListCollection->GetNonMusrMaximumLikelihood(par);
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}
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return value;
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}
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//--------------------------------------------------------------------------
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// CalcExpectedChiSquare()
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//--------------------------------------------------------------------------
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/**
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* <p>Calculates the expected chisq, expected chisq per run, and chisq per run, if applicable.
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*
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* \param par
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* \param totalExpectedChisq expected chisq for all run blocks
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* \param expectedChisqPerRun expected chisq vector for all the run blocks
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*/
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void PFitterFcn::CalcExpectedChiSquare(const std::vector<Double_t> &par, Double_t &totalExpectedChisq, std::vector<Double_t> &expectedChisqPerRun)
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{
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// init expected chisq related variables
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totalExpectedChisq = 0.0;
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expectedChisqPerRun.clear();
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Double_t value = 0.0;
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if (fUseChi2) {
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// single histo
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for (UInt_t i=0; i<fRunListCollection->GetNoOfSingleHisto(); i++) {
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value = fRunListCollection->GetSingleHistoChisqExpected(par, i); // calculate the expected chisq for single histo run block 'i'
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expectedChisqPerRun.push_back(value);
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totalExpectedChisq += value;
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}
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} else { // log max. likelihood
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// single histo
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for (UInt_t i=0; i<fRunListCollection->GetNoOfSingleHisto(); i++) {
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value = fRunListCollection->GetSingleHistoMaximumLikelihoodExpected(par, i); // calculate the expected mlh for single histo run block 'i'
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expectedChisqPerRun.push_back(value);
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totalExpectedChisq += value;
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}
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}
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}
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