[u/mrichter/AliRoot.git] / PHOS / AliPHOSRawFitterv1.cxx

/**************************************************************************
 * Copyright(c) 2007, ALICE Experiment at CERN, All rights reserved.      *
 *                                                                        *
 * Author: The ALICE Off-line Project.                                    *
 * Contributors are mentioned in the code where appropriate.              *
 *                                                                        *
 * Permission to use, copy, modify and distribute this software and its   *
 * documentation strictly for non-commercial purposes is hereby granted   *
 * without fee, provided that the above copyright notice appears in all   *
 * copies and that both the copyright notice and this permission notice   *
 * appear in the supporting documentation. The authors make no claims     *
 * about the suitability of this software for any purpose. It is          *
 * provided "as is" without express or implied warranty.                  *
 **************************************************************************/

/* $Id: $ */

// This class extracts the signal parameters (energy, time, quality)
// from ALTRO samples. Energy is in ADC counts, time is in time bin units.
// A fitting algorithm evaluates the energy and the time from Minuit minimization
// 
// Typical use case:
//     AliPHOSRawFitter *fitter=new AliPHOSRawFitter();
//     fitter->SetChannelGeo(module,cellX,cellZ,caloFlag);
//     fitter->SetCalibData(fgCalibData) ;
//     fitter->Eval(sig,sigStart,sigLength);
//     Double_t amplitude = fitter.GetEnergy();
//     Double_t time      = fitter.GetTime();
//     Bool_t   isLowGain = fitter.GetCaloFlag()==0;

// Author: Dmitri Peressounko (Oct.2008)
// Modified: Yuri Kharlov (Jul.2009)

// --- ROOT system ---
#include "TArrayD.h"
#include "TList.h"
#include "TMath.h"
#include "TMinuit.h"
#include "TCanvas.h"
#include "TH1.h"
#include "TH2.h"
#include "TF1.h"
#include "TROOT.h"

// --- AliRoot header files ---
#include "AliLog.h"
#include "AliPHOSCalibData.h"
#include "AliPHOSRawFitterv1.h"
#include "AliPHOSPulseGenerator.h"

ClassImp(AliPHOSRawFitterv1)

//-----------------------------------------------------------------------------
AliPHOSRawFitterv1::AliPHOSRawFitterv1():
  AliPHOSRawFitterv0(),
  fSampleParamsLow(0x0),
  fSampleParamsHigh(0x0),
  fToFit(0x0)
{
  //Default constructor.
  if(!gMinuit) 
    gMinuit = new TMinuit(100);
  fSampleParamsHigh =new TArrayD(7) ;
  fSampleParamsHigh->AddAt(2.174,0) ;
  fSampleParamsHigh->AddAt(0.106,1) ;
  fSampleParamsHigh->AddAt(0.173,2) ;
  fSampleParamsHigh->AddAt(0.06106,3) ;
  //last two parameters are pedestal and overflow
  fSampleParamsLow=new TArrayD(7) ;
  fSampleParamsLow->AddAt(2.456,0) ;
  fSampleParamsLow->AddAt(0.137,1) ;
  fSampleParamsLow->AddAt(2.276,2) ;
  fSampleParamsLow->AddAt(0.08246,3) ;
  fToFit = new TList() ;
}

//-----------------------------------------------------------------------------
AliPHOSRawFitterv1::~AliPHOSRawFitterv1()
{
  //Destructor.
  if(fSampleParamsLow){
    delete fSampleParamsLow ; 
    fSampleParamsLow=0 ;
  }
  if(fSampleParamsHigh){
    delete fSampleParamsHigh ;
    fSampleParamsHigh=0;
  }
  if(fToFit){
    delete fToFit ;
    fToFit=0 ;
  }
}

//-----------------------------------------------------------------------------
AliPHOSRawFitterv1::AliPHOSRawFitterv1(const AliPHOSRawFitterv1 &phosFitter ):
  AliPHOSRawFitterv0(phosFitter), 
  fSampleParamsLow(0x0),
  fSampleParamsHigh(0x0),
  fToFit(0x0)
{
  //Copy constructor.
  fToFit = new TList() ;
  fSampleParamsLow =new TArrayD(*(phosFitter.fSampleParamsLow)) ;
  fSampleParamsHigh=new TArrayD(*(phosFitter.fSampleParamsHigh)) ;
}

//-----------------------------------------------------------------------------
AliPHOSRawFitterv1& AliPHOSRawFitterv1::operator = (const AliPHOSRawFitterv1 &phosFitter)
{
  //Assignment operator.

  fToFit = new TList() ;
  if(fSampleParamsLow){
    fSampleParamsLow = phosFitter.fSampleParamsLow ;
    fSampleParamsHigh= phosFitter.fSampleParamsHigh ;
  }
  else{
    fSampleParamsLow =new TArrayD(*(phosFitter.fSampleParamsLow)) ; 
    fSampleParamsHigh=new TArrayD(*(phosFitter.fSampleParamsHigh)) ;
  }
  return *this;
}

//-----------------------------------------------------------------------------
Bool_t AliPHOSRawFitterv1::Eval(const UShort_t *signal, Int_t sigStart, Int_t sigLength)
{
  //Extract an energy deposited in the crystal,
  //crystal' position (module,column,row),
  //time and gain (high or low).
  //First collects sample, then evaluates it and if it has
  //reasonable shape, fits it with Gamma2 function and extracts 
  //energy and time.

  if (fCaloFlag == 2 || fNBunches > 1) {
    fQuality = 1000;
    return kTRUE;
  }

  Float_t pedMean = 0;
  Float_t pedRMS  = 0;
  Int_t   nPed    = 0;
  const Float_t kBaseLine   = 1.0;
  const Int_t   kPreSamples = 10;
  
  TArrayI *fSamples = new TArrayI(sigLength); // array of sample amplitudes
  TArrayI *fTimes   = new TArrayI(sigLength); // array of sample time stamps
  for (Int_t i=0; i<sigLength; i++) {
    if (i<kPreSamples) {
      nPed++;
      pedMean += signal[i];
      pedRMS  += signal[i]*signal[i] ;
    }
    fSamples->AddAt(signal[i],i);
    fTimes  ->AddAt(       i ,i);
  }

  fEnergy = -111;
  fQuality= 999. ;
  const Float_t sampleMaxHG=102.332 ;  //maximal height of HG sample with given parameterization
  const Float_t sampleMaxLG=277.196 ;  //maximal height of LG sample with given parameterization
  const Float_t maxEtoFit=5 ; //fit only samples above this energy, accept all samples (with good aRMS) below it
  Double_t pedestal = 0;

  if (fPedSubtract) {
    if (nPed > 0) {
      fPedestalRMS=(pedRMS - pedMean*pedMean/nPed)/nPed ;
      if(fPedestalRMS > 0.) 
	fPedestalRMS = TMath::Sqrt(fPedestalRMS) ;
      fEnergy -= (Double_t)(pedMean/nPed); // pedestal subtraction
    }
    else
      return kFALSE;
  }
  else {
    //take pedestals from DB
    pedestal = (Double_t) fAmpOffset ;
    if (fCalibData) {
      Float_t truePed       = fCalibData->GetADCpedestalEmc(fModule, fCellZ, fCellX) ;
      Int_t   altroSettings = fCalibData->GetAltroOffsetEmc(fModule, fCellZ, fCellX) ;
      pedestal += truePed - altroSettings ;
    }
    else{
      AliWarning(Form("Can not read data from OCDB")) ;
    }
    fEnergy-=pedestal ;
  }

  if (fEnergy < kBaseLine) fEnergy = 0;
  
  //calculate time and energy
  Int_t    maxBin=0 ;
  Int_t    maxAmp=0 ;
  Double_t aMean =0. ;
  Double_t aRMS  =0. ;
  Double_t wts   =0 ;
  Int_t    tStart=0 ;

  for (Int_t i=0; i<sigLength; i++){
    if(signal[i] > pedestal){
      Double_t de = signal[i] - pedestal ;
      if(de > 1.) {
	aMean += de*i ;
	aRMS  += de*i*i ;
	wts   += de; 
      }
      if(de > 2 && tStart==0) 
	tStart = i ;
      if(maxAmp < signal[i]){
	maxBin = i ;
	maxAmp = signal[i] ;
      }
    }
  }

  if (maxBin==sigLength-1){//bad "rising" sample
    fEnergy =    0. ;
    fTime   = -999. ;
    fQuality=  999. ;
    return kTRUE ;
  }

  fEnergy=Double_t(maxAmp)-pedestal ;
  fOverflow =0 ;  //look for plato on the top of sample
  if (fEnergy>500 &&  //this is not fluctuation of soft sample
     maxBin<sigLength-1 && fSamples->At(maxBin+1)==maxAmp){ //and there is a plato
    fOverflow = kTRUE ;
  }
  
  if (wts > 0) {
    aMean /= wts; 
    aRMS   = aRMS/wts - aMean*aMean;
  }

  //do not take too small energies
  if (fEnergy < kBaseLine) 
    fEnergy = 0;
  
  //do not test quality of too soft samples
  if (fEnergy < maxEtoFit){
    fTime = tStart;
    if (aRMS < 2.) //sigle peak
      fQuality = 999. ;
    else
      fQuality =   0. ;
    return kTRUE ;
  }
      
  // if sample has reasonable mean and RMS, try to fit it with gamma2
  
  gMinuit->mncler();                     // Reset Minuit's list of paramters
  gMinuit->SetPrintLevel(-1) ;           // No Printout
  gMinuit->SetFCN(AliPHOSRawFitterv1::UnfoldingChiSquare) ;  
  // To set the address of the minimization function 
  
  fToFit->Clear("nodelete") ;
  Double_t b=0,bmin=0,bmax=0 ;
  if      (fCaloFlag == 0){ // Low gain
    fSampleParamsLow->AddAt(pedestal,4) ;
    if (fOverflow)
      fSampleParamsLow->AddAt(double(maxAmp),5) ;
    else
      fSampleParamsLow->AddAt(double(1023),5) ;
    fSampleParamsLow->AddAt(double(sigLength),6) ;
    fToFit->AddFirst((TObject*)fSampleParamsLow) ; 
    b=fSampleParamsLow->At(2) ;
    bmin=0.5 ;
    bmax=10. ;
  }
  else if (fCaloFlag == 1){ // High gain
    fSampleParamsHigh->AddAt(pedestal,4) ;
    if (fOverflow)
      fSampleParamsHigh->AddAt(double(maxAmp),5) ;
    else
      fSampleParamsHigh->AddAt(double(1023),5);
    fSampleParamsHigh->AddAt(double(sigLength),6);
    fToFit->AddFirst((TObject*)fSampleParamsHigh) ; 
    b=fSampleParamsHigh->At(2) ;
    bmin=0.05 ;
    bmax=0.4 ;
  }
  fToFit->AddLast((TObject*)fSamples) ;
  fToFit->AddLast((TObject*)fTimes) ;
  
  gMinuit->SetObjectFit((TObject*)fToFit) ;         // To tranfer pointer to UnfoldingChiSquare
  Int_t ierflg ;
  gMinuit->mnparm(0, "t0",  1.*tStart, 0.01, -500., 500., ierflg) ;
  if(ierflg != 0){
    //	  AliWarning(Form("Unable to set initial value for fit procedure : t0=%e\n",1.*tStart) ) ;
    fEnergy =   0. ;
    fTime   =-999. ;
    fQuality= 999. ;
    return kTRUE ; //will scan further
  }
  Double_t amp0=0; 
  if      (fCaloFlag == 0) // Low gain
    amp0 = fEnergy/sampleMaxLG;
  else if (fCaloFlag == 1) // High gain
    amp0 = fEnergy/sampleMaxHG;
  
  gMinuit->mnparm(1, "Energy", amp0 , 0.01*amp0, 0, 0, ierflg) ;
  if(ierflg != 0){
    //	  AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;
    fEnergy =   0. ;
    fTime   =-999. ;
    fQuality= 999. ;
    return kTRUE ; //will scan further
  }
  
  gMinuit->mnparm(2, "p2", b, 0.01*b, bmin, bmax, ierflg) ;
  if(ierflg != 0){                                         
    //        AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;  
    fEnergy =   0. ;
    fTime   =-999. ;
    fQuality= 999. ;
    return kTRUE ; //will scan further  
  }             
  
  Double_t p0 = 0.0001 ; // "Tolerance" Evaluation stops when EDM = 0.0001*p0 ; The number of function call slightly
  //  depends on it. 
  Double_t p1 = 1.0 ;
  Double_t p2 = 0.0 ;
  gMinuit->mnexcm("SET STR", &p2, 0, ierflg) ;   // force TMinuit to reduce function calls  
  gMinuit->mnexcm("SET GRA", &p1, 1, ierflg) ;   // force TMinuit to use my gradient  
  //	gMinuit->SetMaxIterations(100);
  gMinuit->mnexcm("SET NOW", &p2 , 0, ierflg) ;  // No Warnings
  
  gMinuit->mnexcm("MIGRAD", &p0, 0, ierflg) ;    // minimize 
  
  Double_t err,t0err ;
  Double_t t0,efit ;
  gMinuit->GetParameter(0,t0, t0err) ;
  gMinuit->GetParameter(1,efit, err) ;
  
  Double_t bfit, berr ;
  gMinuit->GetParameter(2,bfit,berr) ;
  
  //Calculate total energy
  //this is parameterization of dependence of pulse height on parameter b
  if(fCaloFlag == 0) // Low gain
    efit *= 99.54910 + 78.65038*bfit ;
  else if(fCaloFlag == 1) // High gain
    efit *= 80.33109 + 128.6433*bfit ;
  
  if(efit < 0. || efit > 10000.){
    //set energy to previously found max
    fTime   =-999.;
    fQuality= 999 ;
    return kTRUE;
  }                                                                             
  
  //evaluate fit quality
  Double_t fmin,fedm,errdef ;
  Int_t npari,nparx,istat;
  gMinuit->mnstat(fmin,fedm,errdef,npari,nparx,istat) ;
  fQuality = fmin/sigLength ;
  //compare quality with some parameterization
  if      (fCaloFlag == 0) // Low gain
    fQuality /= 2.00 + 0.0020*fEnergy ;
  else if (fCaloFlag == 1) // High gain
    fQuality /= 0.75 + 0.0025*fEnergy ;
  
  fEnergy = efit ;
  fTime   = t0 - 4.024*bfit ; //-10.402*bfit+4.669*bfit*bfit ; //Correction for 70 samples
  fTime  += sigStart;
  
  delete fSamples ;
  delete fTimes ;
  return kTRUE;
}
//_____________________________________________________________________________
void AliPHOSRawFitterv1::UnfoldingChiSquare(Int_t & /*nPar*/, Double_t * Grad, Double_t & fret, Double_t * x, Int_t iflag)
{
  // Number of parameters, Gradient, Chi squared, parameters, what to do

  TList * toFit= (TList*)gMinuit->GetObjectFit() ;
  TArrayD * params=(TArrayD*)toFit->At(0) ; 
  TArrayI * samples = (TArrayI*)toFit->At(1) ;
  TArrayI * times = (TArrayI*)toFit->At(2) ;

  fret = 0. ;     
  if(iflag == 2)
    for(Int_t iparam = 0 ; iparam < 3 ; iparam++)    
      Grad[iparam] = 0 ; // Will evaluate gradient
  
  Double_t t0=x[0] ;
  Double_t en=x[1] ;
  Double_t b=x[2] ;
  Double_t n=params->At(0) ;
  Double_t alpha=params->At(1) ;
  Double_t beta=params->At(3) ;
  Double_t ped=params->At(4) ;

  Double_t overflow=params->At(5) ;
  Int_t iBin = (Int_t) params->At(6) ;
  Int_t nSamples=TMath::Min(iBin+70,samples->GetSize()) ; //Here we set number of points to fit (70)
  // iBin - first non-zero sample 
  Int_t tStep=times->At(iBin+1)-times->At(iBin) ;
  Double_t ddt=times->At(iBin)-t0-tStep ;
  Double_t exp1=TMath::Exp(-alpha*ddt) ;
  Double_t exp2=TMath::Exp(-beta*ddt) ;
  Double_t dexp1=TMath::Exp(-alpha*tStep) ;
  Double_t dexp2=TMath::Exp(-beta*tStep) ;
  for(Int_t i = iBin; i<nSamples ; i++) {
    Double_t dt=double(times->At(i))-t0 ;
    Double_t fsample = double(samples->At(i)) ;
    if(fsample>=overflow)
      continue ;
    Double_t diff ;
    exp1*=dexp1 ;
    exp2*=dexp2 ;
    if(dt<=0.){
      diff=fsample - ped ; 
      fret += diff*diff ;
      continue ;
    }
    Double_t dtn=TMath::Power(dt,n) ;
    Double_t dtnE=dtn*exp1 ;
    Double_t dt2E=dt*dt*exp2 ;
    Double_t fit=ped+en*(dtnE + b*dt2E) ;
    diff = fsample - fit ;
    fret += diff*diff ;
    if(iflag == 2){  // calculate gradient
      Grad[0] += en*diff*(dtnE*(n/dt-alpha)+b*dt2E*(2./dt-beta))  ; //derivative over t0
      Grad[1] -= diff*(dtnE+b*dt2E) ;
      Grad[2] -= en*diff*dt2E ;
    }
  }
  if(iflag == 2)
    for(Int_t iparam = 0 ; iparam < 3 ; iparam++)    
      Grad[iparam] *= 2. ; 
}
//-----------------------------------------------------------------------------
Double_t AliPHOSRawFitterv1::Gamma2(Double_t dt,Double_t en,Double_t b,TArrayD * params){  //Function for fitting samples
  //parameters:
  //dt-time after start
  //en-amplutude
  //function parameters
  
  Double_t ped=params->At(4) ;
  if(dt<0.)
    return ped ; //pedestal
  else
    return ped+en*(TMath::Power(dt,params->At(0))*TMath::Exp(-dt*params->At(1))+b*dt*dt*TMath::Exp(-dt*params->At(3))) ;
}
Commit	Line	Data
379c5c09	1	/**************************************************************************
	2	* Copyright(c) 2007, ALICE Experiment at CERN, All rights reserved. *
	3	* *
	4	* Author: The ALICE Off-line Project. *
	5	* Contributors are mentioned in the code where appropriate. *
	6	* *
	7	* Permission to use, copy, modify and distribute this software and its *
	8	* documentation strictly for non-commercial purposes is hereby granted *
	9	* without fee, provided that the above copyright notice appears in all *
	10	* copies and that both the copyright notice and this permission notice *
	11	* appear in the supporting documentation. The authors make no claims *
	12	* about the suitability of this software for any purpose. It is *
	13	* provided "as is" without express or implied warranty. *
	14	**************************************************************************/
	15
	16	/* $Id: $ */
	17
	18	// This class extracts the signal parameters (energy, time, quality)
	19	// from ALTRO samples. Energy is in ADC counts, time is in time bin units.
	20	// A fitting algorithm evaluates the energy and the time from Minuit minimization
	21	//
	22	// Typical use case:
	23	// AliPHOSRawFitter *fitter=new AliPHOSRawFitter();
379c5c09	24	// fitter->SetChannelGeo(module,cellX,cellZ,caloFlag);
379c5c09	25	// fitter->SetCalibData(fgCalibData) ;
1dfadc32	26	// fitter->Eval(sig,sigStart,sigLength);
379c5c09	27	// Double_t amplitude = fitter.GetEnergy();
	28	// Double_t time = fitter.GetTime();
	29	// Bool_t isLowGain = fitter.GetCaloFlag()==0;
	30
	31	// Author: Dmitri Peressounko (Oct.2008)
	32	// Modified: Yuri Kharlov (Jul.2009)
	33
	34	// --- ROOT system ---
	35	#include "TArrayD.h"
	36	#include "TList.h"
	37	#include "TMath.h"
	38	#include "TMinuit.h"
	39	#include "TCanvas.h"
	40	#include "TH1.h"
	41	#include "TH2.h"
	42	#include "TF1.h"
	43	#include "TROOT.h"
	44
	45	// --- AliRoot header files ---
	46	#include "AliLog.h"
	47	#include "AliPHOSCalibData.h"
	48	#include "AliPHOSRawFitterv1.h"
	49	#include "AliPHOSPulseGenerator.h"
	50
	51	ClassImp(AliPHOSRawFitterv1)
	52
	53	//-----------------------------------------------------------------------------
	54	AliPHOSRawFitterv1::AliPHOSRawFitterv1():
	55	AliPHOSRawFitterv0(),
	56	fSampleParamsLow(0x0),
	57	fSampleParamsHigh(0x0),
	58	fToFit(0x0)
	59	{
	60	//Default constructor.
	61	if(!gMinuit)
	62	gMinuit = new TMinuit(100);
	63	fSampleParamsHigh =new TArrayD(7) ;
	64	fSampleParamsHigh->AddAt(2.174,0) ;
	65	fSampleParamsHigh->AddAt(0.106,1) ;
	66	fSampleParamsHigh->AddAt(0.173,2) ;
	67	fSampleParamsHigh->AddAt(0.06106,3) ;
	68	//last two parameters are pedestal and overflow
	69	fSampleParamsLow=new TArrayD(7) ;
	70	fSampleParamsLow->AddAt(2.456,0) ;
	71	fSampleParamsLow->AddAt(0.137,1) ;
	72	fSampleParamsLow->AddAt(2.276,2) ;
	73	fSampleParamsLow->AddAt(0.08246,3) ;
	74	fToFit = new TList() ;
	75	}
	76
	77	//-----------------------------------------------------------------------------
	78	AliPHOSRawFitterv1::~AliPHOSRawFitterv1()
	79	{
	80	//Destructor.
	81	if(fSampleParamsLow){
	82	delete fSampleParamsLow ;
	83	fSampleParamsLow=0 ;
	84	}
	85	if(fSampleParamsHigh){
	86	delete fSampleParamsHigh ;
	87	fSampleParamsHigh=0;
	88	}
	89	if(fToFit){
	90	delete fToFit ;
91	fToFit=0 ;
92	}
93	}
94
95	//-----------------------------------------------------------------------------
96	AliPHOSRawFitterv1::AliPHOSRawFitterv1(const AliPHOSRawFitterv1 &phosFitter ):
97	AliPHOSRawFitterv0(phosFitter),
98	fSampleParamsLow(0x0),
99	fSampleParamsHigh(0x0),
100	fToFit(0x0)
101	{
102	//Copy constructor.
103	fToFit = new TList() ;
104	fSampleParamsLow =new TArrayD(*(phosFitter.fSampleParamsLow)) ;
105	fSampleParamsHigh=new TArrayD(*(phosFitter.fSampleParamsHigh)) ;
106	}
107
108	//-----------------------------------------------------------------------------
109	AliPHOSRawFitterv1& AliPHOSRawFitterv1::operator = (const AliPHOSRawFitterv1 &phosFitter)
110	{
111	//Assignment operator.
112
113	fToFit = new TList() ;
114	if(fSampleParamsLow){
115	fSampleParamsLow = phosFitter.fSampleParamsLow ;
116	fSampleParamsHigh= phosFitter.fSampleParamsHigh ;
117	}
118	else{
119	fSampleParamsLow =new TArrayD(*(phosFitter.fSampleParamsLow)) ;
120	fSampleParamsHigh=new TArrayD(*(phosFitter.fSampleParamsHigh)) ;
121	}
122	return *this;
123	}
124
125	//-----------------------------------------------------------------------------
92236b27	126	Bool_t AliPHOSRawFitterv1::Eval(const UShort_t *signal, Int_t sigStart, Int_t sigLength)
379c5c09	127	{
	128	//Extract an energy deposited in the crystal,
	129	//crystal' position (module,column,row),
	130	//time and gain (high or low).
	131	//First collects sample, then evaluates it and if it has
	132	//reasonable shape, fits it with Gamma2 function and extracts
	133	//energy and time.
	134
92236b27	135	if (fCaloFlag == 2 \|\| fNBunches > 1) {
379c5c09	136	fQuality = 1000;
	137	return kTRUE;
	138	}
	139
	140	Float_t pedMean = 0;
	141	Float_t pedRMS = 0;
	142	Int_t nPed = 0;
	143	const Float_t kBaseLine = 1.0;
	144	const Int_t kPreSamples = 10;
	145
92236b27	146	TArrayI *fSamples = new TArrayI(sigLength); // array of sample amplitudes
	147	TArrayI *fTimes = new TArrayI(sigLength); // array of sample time stamps
	148	for (Int_t i=0; i<sigLength; i++) {
379c5c09	149	if (i<kPreSamples) {
379c5c09	150	nPed++;
92236b27	151	pedMean += signal[i];
92236b27	152	pedRMS += signal[i]*signal[i] ;
379c5c09	153	}
92236b27	154	fSamples->AddAt(signal[i],i);
92236b27	155	fTimes ->AddAt( i ,i);
379c5c09	156	}
379c5c09	157
379c5c09	158	fEnergy = -111;
	159	fQuality= 999. ;
	160	const Float_t sampleMaxHG=102.332 ; //maximal height of HG sample with given parameterization
	161	const Float_t sampleMaxLG=277.196 ; //maximal height of LG sample with given parameterization
	162	const Float_t maxEtoFit=5 ; //fit only samples above this energy, accept all samples (with good aRMS) below it
	163	Double_t pedestal = 0;
	164
	165	if (fPedSubtract) {
	166	if (nPed > 0) {
	167	fPedestalRMS=(pedRMS - pedMean*pedMean/nPed)/nPed ;
	168	if(fPedestalRMS > 0.)
	169	fPedestalRMS = TMath::Sqrt(fPedestalRMS) ;
	170	fEnergy -= (Double_t)(pedMean/nPed); // pedestal subtraction
	171	}
	172	else
	173	return kFALSE;
	174	}
	175	else {
	176	//take pedestals from DB
	177	pedestal = (Double_t) fAmpOffset ;
	178	if (fCalibData) {
	179	Float_t truePed = fCalibData->GetADCpedestalEmc(fModule, fCellZ, fCellX) ;
	180	Int_t altroSettings = fCalibData->GetAltroOffsetEmc(fModule, fCellZ, fCellX) ;
	181	pedestal += truePed - altroSettings ;
	182	}
	183	else{
	184	AliWarning(Form("Can not read data from OCDB")) ;
	185	}
	186	fEnergy-=pedestal ;
	187	}
	188
	189	if (fEnergy < kBaseLine) fEnergy = 0;
	190
	191	//calculate time and energy
92236b27	192	Int_t maxBin=0 ;
	193	Int_t maxAmp=0 ;
	194	Double_t aMean =0. ;
	195	Double_t aRMS =0. ;
	196	Double_t wts =0 ;
	197	Int_t tStart=0 ;
	198
	199	for (Int_t i=0; i<sigLength; i++){
	200	if(signal[i] > pedestal){
	201	Double_t de = signal[i] - pedestal ;
	202	if(de > 1.) {
	203	aMean += de*i ;
	204	aRMS += deii ;
	205	wts += de;
379c5c09	206	}
92236b27	207	if(de > 2 && tStart==0)
	208	tStart = i ;
	209	if(maxAmp < signal[i]){
	210	maxBin = i ;
	211	maxAmp = signal[i] ;
379c5c09	212	}
	213	}
	214	}
92236b27	215
	216	if (maxBin==sigLength-1){//bad "rising" sample
	217	fEnergy = 0. ;
	218	fTime = -999. ;
	219	fQuality= 999. ;
379c5c09	220	return kTRUE ;
379c5c09	221	}
92236b27	222
379c5c09	223	fEnergy=Double_t(maxAmp)-pedestal ;
379c5c09	224	fOverflow =0 ; //look for plato on the top of sample
92236b27	225	if (fEnergy>500 && //this is not fluctuation of soft sample
92236b27	226	maxBin<sigLength-1 && fSamples->At(maxBin+1)==maxAmp){ //and there is a plato
379c5c09	227	fOverflow = kTRUE ;
379c5c09	228	}
92236b27	229
	230	if (wts > 0) {
	231	aMean /= wts;
	232	aRMS = aRMS/wts - aMean*aMean;
379c5c09	233	}
	234
	235	//do not take too small energies
92236b27	236	if (fEnergy < kBaseLine)
379c5c09	237	fEnergy = 0;
	238
	239	//do not test quality of too soft samples
92236b27	240	if (fEnergy < maxEtoFit){
	241	fTime = tStart;
	242	if (aRMS < 2.) //sigle peak
	243	fQuality = 999. ;
379c5c09	244	else
92236b27	245	fQuality = 0. ;
379c5c09	246	return kTRUE ;
	247	}
	248
92236b27	249	// if sample has reasonable mean and RMS, try to fit it with gamma2
379c5c09	250
	251	gMinuit->mncler(); // Reset Minuit's list of paramters
	252	gMinuit->SetPrintLevel(-1) ; // No Printout
	253	gMinuit->SetFCN(AliPHOSRawFitterv1::UnfoldingChiSquare) ;
	254	// To set the address of the minimization function
	255
	256	fToFit->Clear("nodelete") ;
	257	Double_t b=0,bmin=0,bmax=0 ;
92236b27	258	if (fCaloFlag == 0){ // Low gain
379c5c09	259	fSampleParamsLow->AddAt(pedestal,4) ;
92236b27	260	if (fOverflow)
379c5c09	261	fSampleParamsLow->AddAt(double(maxAmp),5) ;
	262	else
	263	fSampleParamsLow->AddAt(double(1023),5) ;
92236b27	264	fSampleParamsLow->AddAt(double(sigLength),6) ;
379c5c09	265	fToFit->AddFirst((TObject*)fSampleParamsLow) ;
	266	b=fSampleParamsLow->At(2) ;
	267	bmin=0.5 ;
	268	bmax=10. ;
	269	}
92236b27	270	else if (fCaloFlag == 1){ // High gain
379c5c09	271	fSampleParamsHigh->AddAt(pedestal,4) ;
92236b27	272	if (fOverflow)
379c5c09	273	fSampleParamsHigh->AddAt(double(maxAmp),5) ;
	274	else
	275	fSampleParamsHigh->AddAt(double(1023),5);
92236b27	276	fSampleParamsHigh->AddAt(double(sigLength),6);
379c5c09	277	fToFit->AddFirst((TObject*)fSampleParamsHigh) ;
	278	b=fSampleParamsHigh->At(2) ;
	279	bmin=0.05 ;
	280	bmax=0.4 ;
	281	}
	282	fToFit->AddLast((TObject*)fSamples) ;
	283	fToFit->AddLast((TObject*)fTimes) ;
	284
	285	gMinuit->SetObjectFit((TObject*)fToFit) ; // To tranfer pointer to UnfoldingChiSquare
	286	Int_t ierflg ;
	287	gMinuit->mnparm(0, "t0", 1.*tStart, 0.01, -500., 500., ierflg) ;
	288	if(ierflg != 0){
	289	// AliWarning(Form("Unable to set initial value for fit procedure : t0=%e\n",1.*tStart) ) ;
92236b27	290	fEnergy = 0. ;
	291	fTime =-999. ;
	292	fQuality= 999. ;
379c5c09	293	return kTRUE ; //will scan further
	294	}
	295	Double_t amp0=0;
92236b27	296	if (fCaloFlag == 0) // Low gain
	297	amp0 = fEnergy/sampleMaxLG;
	298	else if (fCaloFlag == 1) // High gain
	299	amp0 = fEnergy/sampleMaxHG;
379c5c09	300
	301	gMinuit->mnparm(1, "Energy", amp0 , 0.01*amp0, 0, 0, ierflg) ;
	302	if(ierflg != 0){
	303	// AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;
92236b27	304	fEnergy = 0. ;
	305	fTime =-999. ;
	306	fQuality= 999. ;
379c5c09	307	return kTRUE ; //will scan further
	308	}
	309
	310	gMinuit->mnparm(2, "p2", b, 0.01*b, bmin, bmax, ierflg) ;
	311	if(ierflg != 0){
	312	// AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;
92236b27	313	fEnergy = 0. ;
	314	fTime =-999. ;
	315	fQuality= 999. ;
379c5c09	316	return kTRUE ; //will scan further
	317	}
	318
379c5c09	319	Double_t p0 = 0.0001 ; // "Tolerance" Evaluation stops when EDM = 0.0001*p0 ; The number of function call slightly
	320	// depends on it.
	321	Double_t p1 = 1.0 ;
	322	Double_t p2 = 0.0 ;
	323	gMinuit->mnexcm("SET STR", &p2, 0, ierflg) ; // force TMinuit to reduce function calls
	324	gMinuit->mnexcm("SET GRA", &p1, 1, ierflg) ; // force TMinuit to use my gradient
	325	// gMinuit->SetMaxIterations(100);
	326	gMinuit->mnexcm("SET NOW", &p2 , 0, ierflg) ; // No Warnings
	327
	328	gMinuit->mnexcm("MIGRAD", &p0, 0, ierflg) ; // minimize
	329
	330	Double_t err,t0err ;
	331	Double_t t0,efit ;
92236b27	332	gMinuit->GetParameter(0,t0, t0err) ;
92236b27	333	gMinuit->GetParameter(1,efit, err) ;
379c5c09	334
	335	Double_t bfit, berr ;
	336	gMinuit->GetParameter(2,bfit,berr) ;
	337
	338	//Calculate total energy
92236b27	339	//this is parameterization of dependence of pulse height on parameter b
379c5c09	340	if(fCaloFlag == 0) // Low gain
92236b27	341	efit = 99.54910 + 78.65038bfit ;
379c5c09	342	else if(fCaloFlag == 1) // High gain
92236b27	343	efit = 80.33109 + 128.6433bfit ;
379c5c09	344
92236b27	345	if(efit < 0. \|\| efit > 10000.){
379c5c09	346	//set energy to previously found max
92236b27	347	fTime =-999.;
92236b27	348	fQuality= 999 ;
379c5c09	349	return kTRUE;
	350	}
	351
	352	//evaluate fit quality
	353	Double_t fmin,fedm,errdef ;
	354	Int_t npari,nparx,istat;
	355	gMinuit->mnstat(fmin,fedm,errdef,npari,nparx,istat) ;
92236b27	356	fQuality = fmin/sigLength ;
379c5c09	357	//compare quality with some parameterization
92236b27	358	if (fCaloFlag == 0) // Low gain
	359	fQuality /= 2.00 + 0.0020*fEnergy ;
	360	else if (fCaloFlag == 1) // High gain
	361	fQuality /= 0.75 + 0.0025*fEnergy ;
379c5c09	362
92236b27	363	fEnergy = efit ;
	364	fTime = t0 - 4.024bfit ; //-10.402bfit+4.669bfitbfit ; //Correction for 70 samples
	365	fTime += sigStart;
379c5c09	366
	367	delete fSamples ;
	368	delete fTimes ;
	369	return kTRUE;
	370	}
	371	//_____________________________________________________________________________
	372	void AliPHOSRawFitterv1::UnfoldingChiSquare(Int_t & /nPar/, Double_t * Grad, Double_t & fret, Double_t * x, Int_t iflag)
	373	{
	374	// Number of parameters, Gradient, Chi squared, parameters, what to do
	375
	376	TList * toFit= (TList*)gMinuit->GetObjectFit() ;
	377	TArrayD * params=(TArrayD*)toFit->At(0) ;
	378	TArrayI * samples = (TArrayI*)toFit->At(1) ;
	379	TArrayI * times = (TArrayI*)toFit->At(2) ;
	380
	381	fret = 0. ;
	382	if(iflag == 2)
	383	for(Int_t iparam = 0 ; iparam < 3 ; iparam++)
	384	Grad[iparam] = 0 ; // Will evaluate gradient
	385
	386	Double_t t0=x[0] ;
	387	Double_t en=x[1] ;
	388	Double_t b=x[2] ;
	389	Double_t n=params->At(0) ;
	390	Double_t alpha=params->At(1) ;
	391	Double_t beta=params->At(3) ;
	392	Double_t ped=params->At(4) ;
	393
	394	Double_t overflow=params->At(5) ;
	395	Int_t iBin = (Int_t) params->At(6) ;
	396	Int_t nSamples=TMath::Min(iBin+70,samples->GetSize()) ; //Here we set number of points to fit (70)
	397	// iBin - first non-zero sample
	398	Int_t tStep=times->At(iBin+1)-times->At(iBin) ;
	399	Double_t ddt=times->At(iBin)-t0-tStep ;
	400	Double_t exp1=TMath::Exp(-alpha*ddt) ;
	401	Double_t exp2=TMath::Exp(-beta*ddt) ;
	402	Double_t dexp1=TMath::Exp(-alpha*tStep) ;
	403	Double_t dexp2=TMath::Exp(-beta*tStep) ;
	404	for(Int_t i = iBin; i<nSamples ; i++) {
	405	Double_t dt=double(times->At(i))-t0 ;
	406	Double_t fsample = double(samples->At(i)) ;
	407	if(fsample>=overflow)
	408	continue ;
	409	Double_t diff ;
	410	exp1*=dexp1 ;
	411	exp2*=dexp2 ;
	412	if(dt<=0.){
	413	diff=fsample - ped ;
	414	fret += diff*diff ;
	415	continue ;
	416	}
	417	Double_t dtn=TMath::Power(dt,n) ;
	418	Double_t dtnE=dtn*exp1 ;
	419	Double_t dt2E=dtdtexp2 ;
	420	Double_t fit=ped+en(dtnE + bdt2E) ;
	421	diff = fsample - fit ;
	422	fret += diff*diff ;
	423	if(iflag == 2){ // calculate gradient
	424	Grad[0] += endiff(dtnE(n/dt-alpha)+bdt2E*(2./dt-beta)) ; //derivative over t0
	425	Grad[1] -= diff(dtnE+bdt2E) ;
	426	Grad[2] -= endiffdt2E ;
	427	}
	428	}
	429	if(iflag == 2)
430	for(Int_t iparam = 0 ; iparam < 3 ; iparam++)
431	Grad[iparam] *= 2. ;
432	}
433	//-----------------------------------------------------------------------------
434	Double_t AliPHOSRawFitterv1::Gamma2(Double_t dt,Double_t en,Double_t b,TArrayD * params){ //Function for fitting samples
435	//parameters:
436	//dt-time after start
437	//en-amplutude
438	//function parameters
439
440	Double_t ped=params->At(4) ;
441	if(dt<0.)
442	return ped ; //pedestal
443	else
444	return ped+en(TMath::Power(dt,params->At(0))TMath::Exp(-dtparams->At(1))+bdtdtTMath::Exp(-dt*params->At(3))) ;
445	}