source: trunk/MagicSoft/Mars/mcalib/MHCalibrationChargeBlindPix.cc@ 3638

/* ======================================================================== *\
!
! *
! * This file is part of MARS, the MAGIC Analysis and Reconstruction
! * Software. It is distributed to you in the hope that it can be a useful
! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
! * It is distributed WITHOUT ANY WARRANTY.
! *
! * Permission to use, copy, modify and distribute this software and its
! * documentation for any purpose is hereby granted without fee,
! * provided that the above copyright notice appear in all copies and
! * that both that copyright notice and this permission notice appear
! * in supporting documentation. It is provided "as is" without express
! * or implied warranty.
! *
!
!
!   Author(s): Markus Gaug 02/2004 <mailto:markus@ifae.es>
!
!   Copyright: MAGIC Software Development, 2000-2004
!
!
\* ======================================================================== */

//////////////////////////////////////////////////////////////////////////////
//
//  MHCalibrationChargeBlindPix
//
//  Histogram container for the calibration Blind Pixel information
//  Extracts the signal stored in MExtractedSignalBlindPixel , histograms and fits it.
//  Performs the Single Photo-electron fit to extract the Poisson mean and its errors
//
//  Different fits can be chosen with the function ChangeFitFunc()
//
//  The fit result is accepted under condition that:
//  1) the Probability is greater than fProbLimit (default 0.001 == 99.7%)
//  2) at least fNumSinglePheLimit events are found in the single Photo-electron peak
//
//  The single FADC slice entries are averaged and stored in fASinglePheFADCSlices, if 
//  their sum exceeds fSinglePheCut, otherwise in fAPedestalFADCSlices.
//
//  Used numbers are the following:
//
//  Electronic conversion factor:
//   Assume, we have N_e electrons at the anode, 
//   thus a charge of N_e*e (e = electron charge) Coulomb.
//
//   This charge is AC coupled and runs into a R_pre = 50 Ohm resistency. 
//   The corresponding current is amplified by a gain factor G_pre = 400 
//   (the precision of this value still has to be checked !!!) and again AC coupled to 
//   the output. 
//   The corresponding signal goes through the whole transmission and 
//   amplification chain and is digitized in the FADCs. 
//   The conversion Signal Area to FADC counts (Conv_trans) has been measured 
//   by David and Oscar to be approx. 3.9 pVs^-1
//
//   Thus: Conversion FADC counts to Number of Electrons at Anode: 
//         FADC counts = (1/Conv_tran) * G_pre * R_pre *  e * N_e = 8 * 10^-4 N_e. 
//
//   Also: FADC counts = 8*10^-4 * GAIN * N_phe
//
//   In the blind pixel, there is an additional pre-amplifier with an amplification of 
//   about 10. Therefore, we have for the blind pixel:
//
//   FADC counts (Blind Pixel) = 8*10^-3 * GAIN * N_phe
//
//////////////////////////////////////////////////////////////////////////////
#include "MHCalibrationChargeBlindPix.h"

#include <TStyle.h>
#include <TCanvas.h>
#include <TPaveText.h>

#include <TVector.h>
#include <TF1.h>
#include <TH1.h>
#include <TRandom.h>

#include "MLog.h"
#include "MLogManip.h"

#include "MParList.h"

#include "MRawEvtData.h"
#include "MRawEvtPixelIter.h"

#include "MExtractedSignalBlindPixel.h"
#include "MCalibrationChargeBlindPix.h"

ClassImp(MHCalibrationChargeBlindPix);

using namespace std;

const Double_t MHCalibrationChargeBlindPix::gkElectronicAmp      = 0.008;
const Double_t MHCalibrationChargeBlindPix::gkElectronicAmpErr   = 0.002;

const Int_t    MHCalibrationChargeBlindPix::fgChargeNbins        = 5300;
const Axis_t   MHCalibrationChargeBlindPix::fgChargeFirst        = -100.5;
const Axis_t   MHCalibrationChargeBlindPix::fgChargeLast         = 5199.5;
const Float_t  MHCalibrationChargeBlindPix::fgSinglePheCut       = 200.;
const Float_t  MHCalibrationChargeBlindPix::fgNumSinglePheLimit  =  50.;
// --------------------------------------------------------------------------
//
// Default Constructor. 
//
// Sets: 
// - the default number for MHGausEvents::fNbins  (fgChargeNbins)
// - the default number for MHGausEvents::fFirst  (fgChargeFirst)
// - the default number for MHGausEvents::fLast   (fgChargeLast)
// - the default number for fSinglePheCut (fgSingePheCut)
// - the default number for fNumSinglePheLimit (fgNumSinglePheLimit)
//
// - the default name of the  fHGausHist ("HCalibrationChargeBlindPix")
// - the default title of the fHGausHist ("Distribution of Summed FADC slices Blind Pixel ")
// - the default x-axis title for fHGausHist ("Sum FADC Slices")
// - the default y-axis title for fHGausHist ("Nr. of events")
//
// Initializes:
// - all pointers to NULL
// - all variables to 0., except the fit result variables to -999.
// - all flags to kFALSE
// - the default Fit function to kEPoisson5
//
MHCalibrationChargeBlindPix::MHCalibrationChargeBlindPix(const char *name, const char *title)
    :  fBlindPix(NULL), fSignal(NULL), fRawEvt(NULL), 
       fSinglePheFit(NULL), 
       fFitLegend(NULL),
       fHSinglePheFADCSlices(NULL), fHPedestalFADCSlices(NULL)
{

    fName  = name  ? name  : "MHCalibrationChargeBlindPix";
    fTitle = title ? title : "Fill the accumulated charges and times of all Blind Pixel events and perform fits";

    SetNbins( fgChargeNbins );
    SetFirst( fgChargeFirst );
    SetLast ( fgChargeLast  );
    
    SetSinglePheCut();
    SetNumSinglePheLimit();

    SetBinsAfterStripping(30);

    fHGausHist.SetName("HCalibrationChargeBlindPix");
    fHGausHist.SetTitle("Distribution of Summed FADC slices Blind Pixel");  
    fHGausHist.SetXTitle("Sum FADC Slices");
    fHGausHist.SetYTitle("Nr. of events");

    Clear();
}

// --------------------------------------------------------------------------
//
// Default Destructor. 
//
// Deletes (if Pointer is not NULL):
// 
// - fSinglePheFit
// - fFitLegend 
// - fHSinglePheFADCSlices
// - fHPedestalFADCSlices    
// 
MHCalibrationChargeBlindPix::~MHCalibrationChargeBlindPix()
{

  if (fSinglePheFit)
    delete fSinglePheFit;

  if (fFitLegend)
    delete fFitLegend;

  if (fHSinglePheFADCSlices)
    delete fHSinglePheFADCSlices;

  if (fHPedestalFADCSlices)
    delete fHPedestalFADCSlices;

}

// --------------------------------------------------------------------------
//
// Sets:
// - all variables to 0., except the fit result variables to -999.
// - all flags to kFALSE
// - all pointers to NULL
//
// Deletes: 
// - all pointers unequal NULL
//
// Executes MHCalibrationChargePix::Clear()
//
void MHCalibrationChargeBlindPix::Clear(Option_t *o)
{

  fLambda    = -999.;
  fMu0       = -999.;
  fMu1       = -999.;
  fSigma0    = -999.;
  fSigma1    = -999.;
  
  fLambdaErr = -999.;
  fMu0Err    = -999.;
  fMu1Err    = -999.;
  fSigma0Err = -999.;
  fSigma1Err = -999.;

  fLambdaCheck    = -999.;
  fLambdaCheckErr = -999.;
  
  fFitFunc = kEPoisson5;

  fNumSinglePhes    = 0;
  fNumPedestals     = 0;

  fChisquare        = 0.;
  fNDF              = 0 ;
  fProb             = 0.;

  SetSinglePheFitOK ( kFALSE );
  SetPedestalFitOK  ( kFALSE );

  if (fFitLegend)
  {
      delete fFitLegend;
      fFitLegend = NULL;
  }

  if (fSinglePheFit)
  {
    delete fSinglePheFit;
    fSinglePheFit = NULL;
  }

  if (fHSinglePheFADCSlices)
  {
    delete fHSinglePheFADCSlices;
    fHSinglePheFADCSlices = NULL;
  }

  if (fHPedestalFADCSlices)
  {
    delete fHPedestalFADCSlices;
    fHPedestalFADCSlices = NULL;
  }


  MHCalibrationChargePix::Clear();
  return;
}

void MHCalibrationChargeBlindPix::SetSinglePheFitOK (const Bool_t b) 
{
    b ? SETBIT(fFlags,kSinglePheFitOK) : CLRBIT(fFlags,kSinglePheFitOK);
}

void MHCalibrationChargeBlindPix::SetPedestalFitOK(const Bool_t b)
{
    b ? SETBIT(fFlags,kPedestalFitOK) : CLRBIT(fFlags,kPedestalFitOK);
}

const Bool_t  MHCalibrationChargeBlindPix::IsSinglePheFitOK()     const 
{
    return TESTBIT(fFlags,kSinglePheFitOK);
}

const Bool_t  MHCalibrationChargeBlindPix::IsPedestalFitOK()  const
{
    return TESTBIT(fFlags,kPedestalFitOK);
}
  
// --------------------------------------------------------------------------
//
// Gets the pointers to:
// - MRawEvtData
// - MExtractedSignalBlindPixel
// 
// Initializes:
// - fASinglePheFADCSlices(0);
// - fAPedestalFADCSlices(0);
//
// Sets Binning of the fHGausHist
//
Bool_t MHCalibrationChargeBlindPix::SetupFill(const MParList *pList) 
{

  fRawEvt = (MRawEvtData*)pList->FindObject("MRawEvtData");
  if (!fRawEvt)
    {
      *fLog << err << "MRawEvtData not found... aborting." << endl;
      return kFALSE;
    }
  
  fSignal  = (MExtractedSignalBlindPixel*)pList->FindObject("MExtractedSignalBlindPixel");
  if (!fSignal)
    {
      *fLog << err << "MExtractedSignalBlindPixel not found... aborting " << endl;
      return kFALSE;
    }
  
  fASinglePheFADCSlices(0);
  fAPedestalFADCSlices(0);
  
  InitBins();
  
  return kTRUE;
}

// --------------------------------------------------------------------------
//
// Gets or creates the pointers to:
// - MCalibrationChargeBlindPix
//
Bool_t MHCalibrationChargeBlindPix::ReInit(MParList *pList)
{

  fBlindPix = (MCalibrationChargeBlindPix*)pList->FindCreateObj("MCalibrationChargeBlindPix");
  if (!fBlindPix)
      return kFALSE;

  return kTRUE;
}

// --------------------------------------------------------------------------
//
// Retrieves from MExtractedSignalBlindPixel:
// - number of FADC samples
// - extracted signal 
// - blind Pixel ID
//
// Resizes (if necessary):
// - fASinglePheFADCSlices to sum of HiGain and LoGain samples
// - fAPedestalFADCSlices to sum of HiGain and LoGain samples
//
// Fills the following histograms:
// - MHGausEvents::FillHistAndArray(signal)
//
// Creates MRawEvtPixelIter, jumps to blind pixel ID, 
// fills the vectors fASinglePheFADCSlices and fAPedestalFADCSlices 
// with the full FADC slices, depending on the size of the signal w.r.t. fSinglePheCut
//
Bool_t MHCalibrationChargeBlindPix::Fill(const MParContainer *par, const Stat_t w)
{

  const Int_t samples = (Int_t)fRawEvt->GetNumHiGainSamples()+(Int_t)fRawEvt->GetNumLoGainSamples();

  if (fASinglePheFADCSlices.GetNrows() != samples)
    {
      fASinglePheFADCSlices.ResizeTo(samples);
      fAPedestalFADCSlices.ResizeTo(samples);
    }

  Float_t slices = (Float_t)fSignal->GetNumFADCSamples();
  
  if (slices == 0.)
    {
      *fLog << err << "Number of used signal slices in MExtractedSignalBlindPix is zero  ... abort." 
            << endl;
      return kFALSE;
    }
  
  //
  // Signal extraction and histogram filling
  //
  const Float_t signal = (Float_t)fSignal->GetExtractedSignal();
  FillHistAndArray(signal);

  //
  // IN order to study the single-phe posistion, we extract the slices
  //
  const Int_t blindpixIdx = fSignal->GetBlindPixelIdx();

  MRawEvtPixelIter pixel(fRawEvt);
  pixel.Jump(blindpixIdx);

  if (signal > fSinglePheCut)
      FillSinglePheFADCSlices(pixel);
  else
      FillPedestalFADCSlices(pixel);

  return kTRUE;
}

// --------------------------------------------------------------------------
//
// Returns kFALSE, if empty
//
// - Creates the fourier spectrum and sets bit IsFourierSpectrumOK()
// - Retrieves the pedestals from MExtractedSignalBlindPixel
// - Normalizes fASinglePheFADCSlices and fAPedestalFADCSlices
// - Executes FitPedestal()
// - Executes FitSinglePhe()
// - Retrieves fit results and stores them in MCalibrationChargeBlindPix
// 
Bool_t MHCalibrationChargeBlindPix::Finalize() 
{
  
  if (IsEmpty())
  {
      *fLog << err << GetDescriptor() << ": My histogram has not been filled !! " << endl;
      return kFALSE;
  }

  CreateFourierSpectrum();
  fBlindPix->SetOscillating  ( !IsFourierSpectrumOK() );

  fMeanPedestal     = fSignal->GetPed();
  fMeanPedestalErr  = fSignal->GetPedErr();
  fSigmaPedestal    = fSignal->GetPedRms();
  fSigmaPedestalErr = fSignal->GetPedRmsErr();

  if (fNumSinglePhes > 1)
      for (Int_t i=0;i<fASinglePheFADCSlices.GetNrows();i++)
          fASinglePheFADCSlices[i] = fASinglePheFADCSlices[i]/fNumSinglePhes;
  if (fNumPedestals > 1)
      for (Int_t i=0;i<fAPedestalFADCSlices.GetNrows();i++)
          fAPedestalFADCSlices[i]  = fAPedestalFADCSlices[i]/fNumPedestals;

  FitPedestal();
  
  if (FitSinglePhe())
      fBlindPix->SetSinglePheFitOK();

  fBlindPix->SetLambda      (    fLambda      );
  fBlindPix->SetMu0         (    fMu0         );
  fBlindPix->SetMu0Err      (    fMu0Err      );
  fBlindPix->SetMu1         (    fMu1         );
  fBlindPix->SetMu1Err      (    fMu1Err      );
  fBlindPix->SetSigma0      (    fSigma0      );
  fBlindPix->SetSigma0Err   (    fSigma0Err   );
  fBlindPix->SetSigma1      (    fSigma1      );
  fBlindPix->SetSigma1Err   (    fSigma1Err   );
  fBlindPix->SetProb        (    fProb        );

  fBlindPix->SetLambdaCheck    ( fLambdaCheck    );
  fBlindPix->SetLambdaCheckErr ( fLambdaCheckErr );

  return kTRUE;
}


// --------------------------------------------------------------------------
//
// Checks again for the size and fills fASinglePheFADCSlices with the FADC slice entries
// 
void MHCalibrationChargeBlindPix::FillSinglePheFADCSlices(const MRawEvtPixelIter &iter)
{

  const Int_t n = iter.GetNumHiGainSamples() + iter.GetNumLoGainSamples();

  if (fASinglePheFADCSlices.GetNrows() < n)
      fASinglePheFADCSlices.ResizeTo(n);
  
  Int_t i=0;
  
  Byte_t *start = iter.GetHiGainSamples();
  Byte_t *end   = start + iter.GetNumHiGainSamples();

  for (Byte_t *ptr = start; ptr < end; ptr++, i++)
      fASinglePheFADCSlices(i) = fASinglePheFADCSlices(i) + (Float_t)*ptr;

  start = iter.GetLoGainSamples();
  end   = start + iter.GetNumLoGainSamples();

  for (Byte_t *ptr = start; ptr < end; ptr++, i++)
      fASinglePheFADCSlices(i) = fASinglePheFADCSlices(i) + (Float_t)*ptr;

  fNumSinglePhes++;
}

// --------------------------------------------------------------------------
//
// Checks again for the size and fills fAPedestalFADCSlices with the FADC slice entries
// 
void MHCalibrationChargeBlindPix::FillPedestalFADCSlices(const MRawEvtPixelIter &iter)
{

  const Int_t n = iter.GetNumHiGainSamples() + iter.GetNumLoGainSamples();

  if (fAPedestalFADCSlices.GetNrows() < n)
      fAPedestalFADCSlices.ResizeTo(n);

  Int_t i = 0;
  Byte_t *start = iter.GetHiGainSamples();
  Byte_t *end   = start + iter.GetNumHiGainSamples();

  for (Byte_t *ptr = start; ptr < end; ptr++, i++)
      fAPedestalFADCSlices(i) = fAPedestalFADCSlices(i)+ (Float_t)*ptr;

  start = iter.GetLoGainSamples();
  end   = start + iter.GetNumLoGainSamples();

  for (Byte_t *ptr = start; ptr < end; ptr++, i++)
      fAPedestalFADCSlices(i) = fAPedestalFADCSlices(i)+ (Float_t)*ptr;

  fNumPedestals++;
}


// --------------------------------------------------------------------------
//
// Task to simulate single phe spectrum with the given parameters
// 
Bool_t MHCalibrationChargeBlindPix::SimulateSinglePhe(Double_t lambda, Double_t mu0, Double_t mu1, Double_t sigma0, Double_t sigma1) 
{

  gRandom->SetSeed();

  if (fHGausHist.GetIntegral() != 0)
    {
      *fLog << err << "Histogram " << fHGausHist.GetTitle() << " is already filled. " << endl;
      *fLog << err << "Create new class MHCalibrationBlindPixel for simulation! " << endl;
      return kFALSE;
    }

  if (!InitFit())
    return kFALSE;

  for (Int_t i=0;i<10000; i++) 
    fHGausHist.Fill(fSinglePheFit->GetRandom());
  
  return kTRUE;
}

// --------------------------------------------------------------------------
//
// - Get the ranges from the stripped histogram
// - choose reasonable start values for the fit
// - initialize the fit function depending on fFitFunc
// - initialize parameter names and limits depending on fFitFunc
//
Bool_t MHCalibrationChargeBlindPix::InitFit()
{
  
  //
  // Get the fitting ranges
  //
  Axis_t rmin = fHGausHist.GetBinCenter(fHGausHist.GetXaxis()->GetFirst());
  Axis_t rmax = fHGausHist.GetBinCenter(fHGausHist.GetXaxis()->GetLast()); 

  if (rmin < 0.)
      rmin = 0.;

  //
  // First guesses for the fit (should be as close to reality as possible, 
  // otherwise the fit goes gaga because of high number of dimensions ...
  //
  const Stat_t   entries      = fHGausHist.Integral("width");
  const Double_t lambda_guess = 0.1;
  const Double_t maximum_bin  = fHGausHist.GetBinCenter(fHGausHist.GetMaximumBin());
  const Double_t norm         = entries/TMath::Sqrt(TMath::TwoPi());

  //
  // Initialize the fit function
  //
  switch (fFitFunc)
    {
    case kEPoisson4:
      fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto4,rmin,rmax,6);
      break;
    case kEPoisson5:
      fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto5,rmin,rmax,6);
      break;
    case kEPoisson6:
      fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto6,rmin,rmax,6);
      break;
    case kEPolya:
      fSinglePheFit = new TF1("SinglePheFit",&fPolya,rmin,rmax,8);
      break;
    case kEMichele:
      break;

    default:
      *fLog << warn << "WARNING: Could not find Fit Function for Blind Pixel " << endl;
      return kFALSE;
      break;
    }

  if (!fSinglePheFit) 
  {
      *fLog << warn << dbginf << "WARNING: Could not create fit function for Single Phe fit" << endl;
      return kFALSE;
  }
  
  const Double_t mu_0_guess = maximum_bin;
  const Double_t si_0_guess = 40.;
  const Double_t mu_1_guess = mu_0_guess + 100.;
  const Double_t si_1_guess = si_0_guess + si_0_guess;
  // Michele
//  const Double_t lambda_1cat_guess = 0.5;
  // const Double_t lambda_1dyn_guess = 0.5;
  // const Double_t mu_1cat_guess = mu_0_guess + 50.;
  // const Double_t mu_1dyn_guess = mu_0_guess + 20.;
  // const Double_t si_1cat_guess = si_0_guess + si_0_guess;
  // const Double_t si_1dyn_guess = si_0_guess;
  // Polya
  const Double_t excessPoisson_guess = 0.5;
  const Double_t delta1_guess     = 8.;
  const Double_t delta2_guess     = 5.;
  const Double_t electronicAmp_guess  = gkElectronicAmp;
  const Double_t electronicAmp_limit  = gkElectronicAmpErr;

  //
  // Initialize boundaries and start parameters
  //
  switch (fFitFunc)
    {
      
    case kEPoisson4:
        fSinglePheFit->SetParNames(  "#lambda",   "#mu_{0}",    "#mu_{1}", "#sigma_{0}",  "#sigma_{1}","Area");
        fSinglePheFit->SetParameters(lambda_guess,fMeanPedestal,mu_1_guess,fSigmaPedestal,si_1_guess,norm);

        fSinglePheFit->SetParLimits(0,0.,0.5);
        fSinglePheFit->SetParLimits(1,
                                    fMeanPedestal-5.*fMeanPedestalErr,
                                    fMeanPedestal+5.*fMeanPedestalErr);
        fSinglePheFit->SetParLimits(2,rmin,rmax);
        fSinglePheFit->SetParLimits(3,
                                    fSigmaPedestal-5.*fSigmaPedestalErr,
                                    fSigmaPedestal+5.*fSigmaPedestalErr);
        fSinglePheFit->SetParLimits(4,0.,(rmax-rmin));
        fSinglePheFit->SetParLimits(5,norm-(0.5*norm),norm+(0.5*norm));
        break;
    case kEPoisson5:
    case kEPoisson6:
      fSinglePheFit->SetParameters(lambda_guess,mu_0_guess,mu_1_guess,si_0_guess,si_1_guess,norm);
      fSinglePheFit->SetParNames("#lambda","#mu_{0}","#mu_{1}","#sigma_{0}","#sigma_{1}","Area");
      fSinglePheFit->SetParLimits(0,0.,1.);
      fSinglePheFit->SetParLimits(1,rmin,(rmax-rmin)/1.5);
      fSinglePheFit->SetParLimits(2,(rmax-rmin)/2.,(rmax-0.05*(rmax-rmin)));
      fSinglePheFit->SetParLimits(3,1.0,(rmax-rmin)/2.0);
      fSinglePheFit->SetParLimits(4,1.0,(rmax-rmin)/2.5);
      fSinglePheFit->SetParLimits(5,norm-0.1,norm+0.1);
      break;

    case kEPolya:
        fSinglePheFit->SetParameters(lambda_guess, excessPoisson_guess,
                                     delta1_guess,delta2_guess,
                                     electronicAmp_guess,
                                     fSigmaPedestal,
                                     norm, 
                                     fMeanPedestal);
      fSinglePheFit->SetParNames("#lambda","b_{tot}",
                                 "#delta_{1}","#delta_{2}",
                                 "amp_{e}","#sigma_{0}",
                                 "Area", "#mu_{0}");
      fSinglePheFit->SetParLimits(0,0.,1.);
      fSinglePheFit->SetParLimits(1,0.,1.); 
      fSinglePheFit->SetParLimits(2,6.,12.);    
      fSinglePheFit->SetParLimits(3,3.,8.);    
      fSinglePheFit->SetParLimits(4,electronicAmp_guess-electronicAmp_limit,
                                    electronicAmp_guess+electronicAmp_limit);    
      fSinglePheFit->SetParLimits(5,
                                    fSigmaPedestal-3.*fSigmaPedestalErr,
                                    fSigmaPedestal+3.*fSigmaPedestalErr);
      fSinglePheFit->SetParLimits(6,norm-0.1,norm+0.1);
      fSinglePheFit->SetParLimits(7,
                                    fMeanPedestal-3.*fMeanPedestalErr,
                                    fMeanPedestal+3.*fMeanPedestalErr);
      break;
    case kEMichele:
      break;

    default:
      *fLog << warn << "WARNING: Could not find Fit Function for Blind Pixel " << endl;
      return kFALSE;
      break;
    }

  fSinglePheFit->SetRange(rmin,rmax);

  return kTRUE;
}

// --------------------------------------------------------------------------
//
// - Retrieve the parameters depending on fFitFunc
// - Retrieve probability, Chisquare and NDF
//
void MHCalibrationChargeBlindPix::ExitFit()
{
  

  //
  // Finalize
  //
  switch (fFitFunc)
    {
      
    case kEPoisson4:
    case kEPoisson5:
    case kEPoisson6:
    case kEPoisson7:
      fLambda = fSinglePheFit->GetParameter(0);
      fMu0    = fSinglePheFit->GetParameter(1);
      fMu1    = fSinglePheFit->GetParameter(2);
      fSigma0 = fSinglePheFit->GetParameter(3);
      fSigma1 = fSinglePheFit->GetParameter(4);
      
      fLambdaErr = fSinglePheFit->GetParError(0);
      fMu0Err    = fSinglePheFit->GetParError(1);
      fMu1Err    = fSinglePheFit->GetParError(2);
      fSigma0Err = fSinglePheFit->GetParError(3);
      fSigma1Err = fSinglePheFit->GetParError(4);
      break;
    case kEPolya:
      fLambda =  fSinglePheFit->GetParameter(0);
      fMu0    =  fSinglePheFit->GetParameter(7);
      fMu1    = 0.;
      fSigma0 =  fSinglePheFit->GetParameter(5);
      fSigma1 = 0.;

      fLambdaErr = fSinglePheFit->GetParError(0);
      fMu0Err    = fSinglePheFit->GetParError(7);
      fMu1Err    = 0.;
      fSigma0Err = fSinglePheFit->GetParError(5);
      fSigma1Err = 0.;
    default:
      break;
    }

  fProb      = fSinglePheFit->GetProb();
  fChisquare = fSinglePheFit->GetChisquare();
  fNDF       = fSinglePheFit->GetNDF();

  *fLog << all << "Results of the Blind Pixel Fit: "              << endl;
  *fLog << all << "Chisquare:   " << fChisquare                   << endl;
  *fLog << all << "DoF:         " << fNDF                         << endl;
  *fLog << all << "Probability: " << fProb                        << endl;

}

// --------------------------------------------------------------------------
//
// - Executes InitFit()
// - Fits the fHGausHist with fSinglePheFit
// - Executes ExitFit()
//
// The fit result is accepted under condition:
// 1) The results are not nan's
// 2) The NDF is not smaller than fNDFLimit (5)
// 3) The Probability is greater than fProbLimit (default 0.001 == 99.9%)
// 4) at least fNumSinglePheLimit events are in the single Photo-electron peak
//
Bool_t MHCalibrationChargeBlindPix::FitSinglePhe(Option_t *opt) 
{

  if (!InitFit())
      return kFALSE;

  fHGausHist.Fit(fSinglePheFit,opt);

  ExitFit();

  //
  // The fit result is accepted under condition:
  // 1) The results are not nan's
  // 2) The NDF is not smaller than fNDFLimit (5)
  // 3) The Probability is greater than fProbLimit (default 0.001 == 99.9%)
  // 4) at least fNumSinglePheLimit events are in the single Photo-electron peak
  //
  if (   TMath::IsNaN(fLambda) 
      || TMath::IsNaN(fLambdaErr)
      || TMath::IsNaN(fProb)    
      || TMath::IsNaN(fMu0)
      || TMath::IsNaN(fMu0Err) 
      || TMath::IsNaN(fMu1)
      || TMath::IsNaN(fMu1Err) 
      || TMath::IsNaN(fSigma0)
      || TMath::IsNaN(fSigma0Err) 
      || TMath::IsNaN(fSigma1)
      || TMath::IsNaN(fSigma1Err) 
      || fNDF  < fNDFLimit
      || fProb < fProbLimit )
    return kFALSE;

  const Stat_t   entries      = fHGausHist.Integral("width");
  const Float_t  numSinglePhe = TMath::Exp(-1.0*fLambda)*fLambda*entries;
  
  if (numSinglePhe < fNumSinglePheLimit) 
    {
      *fLog << warn << "WARNING - Statistics is too low: Only " << numSinglePhe
            << " in the Single Photo-Electron peak " << endl;
      return kFALSE;
    } 
  else
    *fLog << all << numSinglePhe << " in Single Photo-Electron peak " << endl;
  
  SetSinglePheFitOK();
  return kTRUE;
}

// --------------------------------------------------------------------------
//
// - Retrieves limits for the fit
// - Fits the fHGausHist with Gauss 
// - Retrieves the results to fLambdaCheck and fLambdaCheckErr
// - Sets a flag IsPedestalFitOK()
//
void MHCalibrationChargeBlindPix::FitPedestal  (Option_t *opt)
{

  // Perform the cross-check fitting only the pedestal:
  const Axis_t rmin    = 0.;
  const Axis_t rmax    = fHGausHist.GetBinCenter(fHGausHist.GetMaximumBin());

  FitGaus(opt, rmin, rmax);

  const Stat_t   entries = fHGausHist.Integral("width");
  const Double_t fitarea = fFGausFit->GetParameter(0);
  const Double_t pedarea = fitarea * TMath::Sqrt(TMath::TwoPi()) * fFGausFit->GetParameter(2);

  fLambdaCheck     = TMath::Log(entries/pedarea);
  fLambdaCheckErr  =   fFGausFit->GetParError(0)/fFGausFit->GetParameter(0)
                     + fFGausFit->GetParError(2)/fFGausFit->GetParameter(2);

  
  SetPedestalFitOK();
  return;
}

 
// -------------------------------------------------------------------------
//
// Draw a legend with the fit results
//
void MHCalibrationChargeBlindPix::DrawLegend()
{

  if (!fFitLegend)
  {
      fFitLegend = new TPaveText(0.05,0.05,0.95,0.95);
      fFitLegend->SetLabel(Form("%s%s", "Results of the single PhE Fit (",
                                (fFitFunc =  kEPoisson4) ? "Poisson(k=4))" : 
                                (fFitFunc =  kEPoisson5) ? "Poisson(k=5))" : 
                                (fFitFunc =  kEPoisson6) ? "Poisson(k=4))" :
                                (fFitFunc =  kEPolya   ) ? "Polya(k=4))"   : 
                                (fFitFunc =  kEMichele ) ?  "Michele)"     : " none )" ));
      fFitLegend->SetTextSize(0.05);
  }
  else
      fFitLegend->Clear();

  const TString line1 = 
      Form("Mean: #lambda = %2.2f #pm %2.2f",fLambda,fLambdaErr);
  TText *t1 = fFitLegend->AddText(line1.Data());
  t1->SetBit(kCanDelete);
      
  const TString line6 =
      Form("Mean #lambda (check) = %2.2f #pm %2.2f",fLambdaCheck,fLambdaCheckErr);
  TText *t2 = fFitLegend->AddText(line6.Data());
  t2->SetBit(kCanDelete);
  
  const TString line2 = 
      Form("Pedestal: #mu_{0} = %2.2f #pm %2.2f",fMu0,fMu0Err);
  TText *t3 = fFitLegend->AddText(line2.Data());
  t3->SetBit(kCanDelete);
  
  const TString line3 =
      Form("Width Pedestal: #sigma_{0} = %2.2f #pm %2.2f",fSigma0,fSigma0Err);
  TText *t4 = fFitLegend->AddText(line3.Data());
  t4->SetBit(kCanDelete);
  
  const TString line4 =
      Form("1^{st} Phe-peak: #mu_{1} = %2.2f #pm %2.2f",fMu1,fMu1Err);
  TText *t5 = fFitLegend->AddText(line4.Data());
  t5->SetBit(kCanDelete);
  
  const TString line5 =
      Form("Width 1^{st} Phe-peak: #sigma_{1} = %2.2f #pm %2.2f",fSigma1,fSigma1Err);
  TText *t6 = fFitLegend->AddText(line5.Data());
  t6->SetBit(kCanDelete);
  
  const TString line7 =
      Form("#chi^{2} / N_{dof}: %4.2f / %3i",fChisquare,fNDF);
  TText *t7 = fFitLegend->AddText(line7.Data());
  t7->SetBit(kCanDelete);
  
  const TString line8 =
      Form("Probability: %4.2f ",fProb);
  TText *t8 = fFitLegend->AddText(line8.Data());
  t8->SetBit(kCanDelete);
  
  if (IsSinglePheFitOK())
  {
      TText *t = fFitLegend->AddText(0.,0.,"Result of the Fit: OK");
      t->SetBit(kCanDelete);
  }
  else
  {
      TText *t = fFitLegend->AddText("Result of the Fit: NOT OK");
      t->SetBit(kCanDelete);
  }

  fFitLegend->SetFillColor(IsSinglePheFitOK() ? 80 : 2);
  fFitLegend->Draw();
  
  return;
}


// -------------------------------------------------------------------------
//
// Draw the histogram
//
// The following options can be chosen:
//
// "": displays the fHGausHist, the legend and fASinglePheFADCSlices and fAPedestalFADCSlices
// "all": executes additionally MHGausEvents::Draw(), with option "fourierevents"
//
void MHCalibrationChargeBlindPix::Draw(Option_t *opt) 
{

  TString option(opt);
  option.ToLower();
  
  Int_t win = 1;

  TVirtualPad *oldpad = gPad ? gPad : MH::MakeDefCanvas(this,900, 600);
  TVirtualPad *pad    = NULL;

  oldpad->SetBorderMode(0);
    
  if (option.Contains("all"))
  {
      option.ReplaceAll("all","");
      oldpad->Divide(2,1);
      win = 2;
      oldpad->cd(1);
      TVirtualPad *newpad = gPad;
      pad = newpad;
      pad->Divide(2,2);
      pad->cd(1);
  }
  else
  {
      pad = oldpad;
      pad->Divide(2,2);
      pad->cd(1);
  }

  if (!IsEmpty())
      gPad->SetLogy();

  gPad->SetTicks();

  fHGausHist.Draw(opt); 
  if (fFGausFit)
  {
      fFGausFit->SetLineColor(kBlue);
      fFGausFit->Draw("same");
  }
  if (fSinglePheFit)
  {    
      fSinglePheFit->SetLineColor(IsSinglePheFitOK() ? kGreen : kRed);          
      fSinglePheFit->Draw("same");
  }

  pad->cd(2);
  DrawLegend();

  pad->cd(3);
  if (fHSinglePheFADCSlices)
      delete fHSinglePheFADCSlices;

  fHSinglePheFADCSlices = new TH1F(fASinglePheFADCSlices);
  fHSinglePheFADCSlices->SetName("SinglePheFADCSlices");
  fHSinglePheFADCSlices->SetTitle(Form("%s%f","Assumed Single Phe FADC Slices, Sum > ",fSinglePheCut));
  fHSinglePheFADCSlices->SetXTitle("FADC slice number");
  fHSinglePheFADCSlices->SetYTitle("FADC counts");
  fHSinglePheFADCSlices->Draw(opt);

  pad->cd(4);
  if (fHPedestalFADCSlices)
      delete fHPedestalFADCSlices;

  fHPedestalFADCSlices = new TH1F(fAPedestalFADCSlices);
  fHPedestalFADCSlices->SetName("PedestalFADCSlices");
  fHPedestalFADCSlices->SetTitle(Form("%s%f","Pedestal FADC Slices, Sum < ",fSinglePheCut));
  fHPedestalFADCSlices->SetXTitle("FADC slice number");
  fHPedestalFADCSlices->SetYTitle("FADC counts");
  fHPedestalFADCSlices->Draw(opt);

  if (win < 2)
  return;

  oldpad->cd(2);
  MHGausEvents::Draw("fourierevents");
}