84 lines
4.0 KiB
C++
84 lines
4.0 KiB
C++
/***************************************************************************
|
|
|
|
PRunSingleHistoRRF.h
|
|
|
|
Author: Andreas Suter
|
|
e-mail: andreas.suter@psi.ch
|
|
|
|
***************************************************************************/
|
|
|
|
/***************************************************************************
|
|
* Copyright (C) 2007-2016 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 _PRUNSINGLEHISTORRF_H_
|
|
#define _PRUNSINGLEHISTORRF_H_
|
|
|
|
#include "PRunBase.h"
|
|
|
|
/**
|
|
* <p>Class handling single histogram fit type.
|
|
*/
|
|
class PRunSingleHistoRRF : public PRunBase
|
|
{
|
|
public:
|
|
PRunSingleHistoRRF();
|
|
PRunSingleHistoRRF(PMsrHandler *msrInfo, PRunDataHandler *rawData, UInt_t runNo, EPMusrHandleTag tag);
|
|
virtual ~PRunSingleHistoRRF();
|
|
|
|
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 PrepareViewData(PRawRunData* runData, const UInt_t histoNo);
|
|
|
|
private:
|
|
static constexpr Double_t fN0EstimateEndTime = 1.0; ///< end time in (us) over which N0 is estimated. Should eventually be estimated automatically ...
|
|
|
|
UInt_t fNoOfFitBins; ///< number of bins to be fitted
|
|
Double_t fBackground; ///< needed if background range is given (units: 1/bin)
|
|
Int_t fRRFPacking; ///< RRF packing for this particular run. Given in the GLOBAL-block.
|
|
|
|
Int_t fGoodBins[2]; ///< keep first/last good bins. 0=fgb, 1=lgb
|
|
|
|
PDoubleVector fForward; ///< forward histo data
|
|
PDoubleVector fM; ///< vector holding M(t) = [N(t)-N_bkg] exp(+t/tau). Needed to estimate N0.
|
|
PDoubleVector fMerr; ///< vector holding the error of M(t): M_err = exp(+t/tau) sqrt(N(t)).
|
|
PDoubleVector fW; ///< vector holding the weight needed to estimate N0, and errN0.
|
|
PDoubleVector fAerr; ///< vector holding the errors of estimated A(t)
|
|
|
|
virtual Bool_t GetProperT0(PRawRunData* runData, PMsrGlobalBlock *globalBlock, PUIntVector &histoNo);
|
|
virtual Bool_t GetProperDataRange();
|
|
virtual void GetProperFitRange(PMsrGlobalBlock *globalBlock);
|
|
virtual Double_t GetMainFrequency(PDoubleVector &data);
|
|
virtual Double_t EstimateN0(Double_t &errN0, Double_t freqMax);
|
|
virtual Bool_t EstimateBkg(UInt_t histoNo);
|
|
};
|
|
|
|
#endif // _PRUNSINGLEHISTORRF_H_
|