/*************************************************************************** PFitterFcn.h Author: Andreas Suter e-mail: andreas.suter@psi.ch $Id$ ***************************************************************************/ /*************************************************************************** * Copyright (C) 2007 by Andreas Suter * * andreas.suter@psi.c * * * * This program is free software; you can redistribute it and/or modify * * it under the terms of the GNU General Public License as published by * * the Free Software Foundation; either version 2 of the License, or * * (at your option) any later version. * * * * This program is distributed in the hope that it will be useful, * * but WITHOUT ANY WARRANTY; without even the implied warranty of * * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * * GNU General Public License for more details. * * * * You should have received a copy of the GNU General Public License * * along with this program; if not, write to the * * Free Software Foundation, Inc., * * 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. * ***************************************************************************/ #ifndef _PFITTERFCN_H_ #define _PFITTERFCN_H_ #include #include "Minuit2/FCNBase.h" #include "PRunListCollection.h" /** *

This is the minuit2 interface function class porviding the function to be optimized (chisq or log max-likelihood). */ class PFitterFcn : public ROOT::Minuit2::FCNBase { public: PFitterFcn(PRunListCollection *runList, Bool_t useChi2); ~PFitterFcn(); Double_t Up() const { return fUp; } Double_t operator()(const std::vector &par) const; UInt_t GetTotalNoOfFittedBins() { return fRunListCollection->GetTotalNoOfBinsFitted(); } UInt_t GetNoOfFittedBins(const UInt_t idx) { return fRunListCollection->GetNoOfBinsFitted(idx); } void CalcExpectedChiSquare(const std::vector &par, Double_t &totalExpectedChisq, std::vector &expectedChisqPerRun); private: 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). Bool_t fUseChi2; ///< true = chisq fit, false = log max-likelihood fit PRunListCollection *fRunListCollection; ///< pre-processed data to be fitted }; #endif // _PFITTERFCN_H_