musrfit/src/include/PRunSingleHisto.h
Andreas Suter 6c8ce66e1d (i) add PRINT_LEVEL to the command block (0='nothing' to
3='everything'). This allows to tune the Minuit2 output. (ii) added the
possibilty to give the fit range in bins. For details see the docu.
2012-10-25 14:44:16 +00:00

77 lines
3.2 KiB
C++

/***************************************************************************
PRunSingleHisto.h
Author: Andreas Suter
e-mail: andreas.suter@psi.ch
$Id$
***************************************************************************/
/***************************************************************************
* Copyright (C) 2007-2012 by Andreas Suter *
* andreas.suter@psi.ch *
* *
* 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 _PRUNSINGLEHISTO_H_
#define _PRUNSINGLEHISTO_H_
#include "PRunBase.h"
/**
* <p>Class handling single histogram fit type.
*/
class PRunSingleHisto : public PRunBase
{
public:
PRunSingleHisto();
PRunSingleHisto(PMsrHandler *msrInfo, PRunDataHandler *rawData, UInt_t runNo, EPMusrHandleTag tag);
virtual ~PRunSingleHisto();
virtual Double_t CalcChiSquare(const std::vector<Double_t>& par);
virtual Double_t CalcChiSquareExpected(const std::vector<Double_t>& par);
virtual Double_t CalcMaxLikelihood(const std::vector<Double_t>& par);
virtual void CalcTheory();
virtual UInt_t GetNoOfFitBins();
virtual void SetFitRangeBin(const TString fitRange);
protected:
virtual void CalcNoOfFitBins();
virtual Bool_t PrepareData();
virtual Bool_t PrepareFitData(PRawRunData* runData, const UInt_t histoNo);
virtual Bool_t PrepareRawViewData(PRawRunData* runData, const UInt_t histoNo);
virtual Bool_t PrepareViewData(PRawRunData* runData, const UInt_t histoNo);
private:
Bool_t fScaleN0AndBkg; ///< true=scale N0 and background to 1/ns, otherwise 1/bin
UInt_t fNoOfFitBins; ///< number of bins to be fitted
Double_t fBackground; ///< needed if background range is given (units: 1/bin)
Int_t fGoodBins[2]; ///< keep first/last good bins. 0=fgb, 1=lgb
PDoubleVector fForward; ///< forward histo data
virtual Bool_t EstimateBkg(UInt_t histoNo);
virtual Bool_t IsScaleN0AndBkg();
};
#endif // _PRUNSINGLEHISTO_H_