/***************************************************************************

  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 const 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_