64 lines
2.9 KiB
C++
64 lines
2.9 KiB
C++
/***************************************************************************
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PFitterFcn.h
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Author: Andreas Suter
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e-mail: andreas.suter@psi.ch
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$Id$
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***************************************************************************/
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/***************************************************************************
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* Copyright (C) 2007 by Andreas Suter *
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* andreas.suter@psi.c *
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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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#ifndef _PFITTERFCN_H_
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#define _PFITTERFCN_H_
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#include <vector>
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#include "Minuit2/FCNBase.h"
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#include "PRunListCollection.h"
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/**
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* <p>This is the minuit2 interface function class porviding the function to be optimized (chisq or log max-likelihood).
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*/
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class PFitterFcn : public ROOT::Minuit2::FCNBase
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{
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public:
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PFitterFcn(PRunListCollection *runList, Bool_t useChi2);
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~PFitterFcn();
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Double_t Up() const { return fUp; }
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Double_t operator()(const std::vector<Double_t> &par) const;
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UInt_t GetTotalNoOfFittedBins() { return fRunListCollection->GetTotalNoOfBinsFitted(); }
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UInt_t GetNoOfFittedBins(const UInt_t idx) { return fRunListCollection->GetNoOfBinsFitted(idx); }
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void CalcExpectedChiSquare(const std::vector<Double_t> &par, Double_t &totalExpectedChisq, std::vector<Double_t> &expectedChisqPerRun);
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private:
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Double_t fUp; ///< for chisq == 1.0, i.e. errors are 1 std. deviation errors. for log max-likelihood == 0.5, i.e. errors are 1 std. deviation errors (for details see the minuit2 user manual).
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Bool_t fUseChi2; ///< true = chisq fit, false = log max-likelihood fit
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PRunListCollection *fRunListCollection; ///< pre-processed data to be fitted
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};
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#endif // _PFITTERFCN_H_
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