[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->SetSamples(sig,sigStart,sigLength);
//     fitter->SetNBunches(nBunches);
//     fitter->SetChannelGeo(module,cellX,cellZ,caloFlag);
//     fitter->SetCalibData(fgCalibData) ;
//     fitter->Eval();
//     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();
	24	// fitter->SetSamples(sig,sigStart,sigLength);
	25	// fitter->SetNBunches(nBunches);
	26	// fitter->SetChannelGeo(module,cellX,cellZ,caloFlag);
	27	// fitter->SetCalibData(fgCalibData) ;
	28	// fitter->Eval();
	29	// Double_t amplitude = fitter.GetEnergy();
	30	// Double_t time = fitter.GetTime();
	31	// Bool_t isLowGain = fitter.GetCaloFlag()==0;
	32
	33	// Author: Dmitri Peressounko (Oct.2008)
	34	// Modified: Yuri Kharlov (Jul.2009)
	35
	36	// --- ROOT system ---
	37	#include "TArrayD.h"
	38	#include "TList.h"
	39	#include "TMath.h"
	40	#include "TMinuit.h"
	41	#include "TCanvas.h"
	42	#include "TH1.h"
	43	#include "TH2.h"
	44	#include "TF1.h"
	45	#include "TROOT.h"
	46
	47	// --- AliRoot header files ---
	48	#include "AliLog.h"
	49	#include "AliPHOSCalibData.h"
	50	#include "AliPHOSRawFitterv1.h"
	51	#include "AliPHOSPulseGenerator.h"
	52
	53	ClassImp(AliPHOSRawFitterv1)
	54
	55	//-----------------------------------------------------------------------------
	56	AliPHOSRawFitterv1::AliPHOSRawFitterv1():
	57	AliPHOSRawFitterv0(),
	58	fSampleParamsLow(0x0),
	59	fSampleParamsHigh(0x0),
	60	fToFit(0x0)
	61	{
	62	//Default constructor.
	63	if(!gMinuit)
	64	gMinuit = new TMinuit(100);
65	fSampleParamsHigh =new TArrayD(7) ;
66	fSampleParamsHigh->AddAt(2.174,0) ;
67	fSampleParamsHigh->AddAt(0.106,1) ;
68	fSampleParamsHigh->AddAt(0.173,2) ;
69	fSampleParamsHigh->AddAt(0.06106,3) ;
70	//last two parameters are pedestal and overflow
71	fSampleParamsLow=new TArrayD(7) ;
72	fSampleParamsLow->AddAt(2.456,0) ;
73	fSampleParamsLow->AddAt(0.137,1) ;
74	fSampleParamsLow->AddAt(2.276,2) ;
75	fSampleParamsLow->AddAt(0.08246,3) ;
76	fToFit = new TList() ;
77	}
78
79	//-----------------------------------------------------------------------------
80	AliPHOSRawFitterv1::~AliPHOSRawFitterv1()
81	{
82	//Destructor.
83	if(fSampleParamsLow){
84	delete fSampleParamsLow ;
85	fSampleParamsLow=0 ;
86	}
87	if(fSampleParamsHigh){
88	delete fSampleParamsHigh ;
89	fSampleParamsHigh=0;
90	}
91	if(fToFit){
92	delete fToFit ;
93	fToFit=0 ;
94	}
95	}
96
97	//-----------------------------------------------------------------------------
98	AliPHOSRawFitterv1::AliPHOSRawFitterv1(const AliPHOSRawFitterv1 &phosFitter ):
99	AliPHOSRawFitterv0(phosFitter),
100	fSampleParamsLow(0x0),
101	fSampleParamsHigh(0x0),
102	fToFit(0x0)
103	{
104	//Copy constructor.
105	fToFit = new TList() ;
106	fSampleParamsLow =new TArrayD(*(phosFitter.fSampleParamsLow)) ;
107	fSampleParamsHigh=new TArrayD(*(phosFitter.fSampleParamsHigh)) ;
108	}
109
110	//-----------------------------------------------------------------------------
111	AliPHOSRawFitterv1& AliPHOSRawFitterv1::operator = (const AliPHOSRawFitterv1 &phosFitter)
112	{
113	//Assignment operator.
114
115	fToFit = new TList() ;
116	if(fSampleParamsLow){
117	fSampleParamsLow = phosFitter.fSampleParamsLow ;
118	fSampleParamsHigh= phosFitter.fSampleParamsHigh ;
119	}
120	else{
121	fSampleParamsLow =new TArrayD(*(phosFitter.fSampleParamsLow)) ;
122	fSampleParamsHigh=new TArrayD(*(phosFitter.fSampleParamsHigh)) ;
123	}
124	return *this;
125	}
126
127	//-----------------------------------------------------------------------------
92236b27	128	Bool_t AliPHOSRawFitterv1::Eval(const UShort_t *signal, Int_t sigStart, Int_t sigLength)
379c5c09	129	{
	130	//Extract an energy deposited in the crystal,
	131	//crystal' position (module,column,row),
	132	//time and gain (high or low).
	133	//First collects sample, then evaluates it and if it has
	134	//reasonable shape, fits it with Gamma2 function and extracts
	135	//energy and time.
	136
92236b27	137	if (fCaloFlag == 2 \|\| fNBunches > 1) {
379c5c09	138	fQuality = 1000;
	139	return kTRUE;
	140	}
	141
	142	Float_t pedMean = 0;
	143	Float_t pedRMS = 0;
	144	Int_t nPed = 0;
	145	const Float_t kBaseLine = 1.0;
	146	const Int_t kPreSamples = 10;
	147
92236b27	148	TArrayI *fSamples = new TArrayI(sigLength); // array of sample amplitudes
	149	TArrayI *fTimes = new TArrayI(sigLength); // array of sample time stamps
	150	for (Int_t i=0; i<sigLength; i++) {
379c5c09	151	if (i<kPreSamples) {
379c5c09	152	nPed++;
92236b27	153	pedMean += signal[i];
92236b27	154	pedRMS += signal[i]*signal[i] ;
379c5c09	155	}
92236b27	156	fSamples->AddAt(signal[i],i);
92236b27	157	fTimes ->AddAt( i ,i);
379c5c09	158	}
379c5c09	159
379c5c09	160	fEnergy = -111;
	161	fQuality= 999. ;
	162	const Float_t sampleMaxHG=102.332 ; //maximal height of HG sample with given parameterization
	163	const Float_t sampleMaxLG=277.196 ; //maximal height of LG sample with given parameterization
	164	const Float_t maxEtoFit=5 ; //fit only samples above this energy, accept all samples (with good aRMS) below it
	165	Double_t pedestal = 0;
	166
	167	if (fPedSubtract) {
	168	if (nPed > 0) {
	169	fPedestalRMS=(pedRMS - pedMean*pedMean/nPed)/nPed ;
	170	if(fPedestalRMS > 0.)
	171	fPedestalRMS = TMath::Sqrt(fPedestalRMS) ;
	172	fEnergy -= (Double_t)(pedMean/nPed); // pedestal subtraction
	173	}
	174	else
	175	return kFALSE;
	176	}
	177	else {
	178	//take pedestals from DB
	179	pedestal = (Double_t) fAmpOffset ;
	180	if (fCalibData) {
	181	Float_t truePed = fCalibData->GetADCpedestalEmc(fModule, fCellZ, fCellX) ;
	182	Int_t altroSettings = fCalibData->GetAltroOffsetEmc(fModule, fCellZ, fCellX) ;
	183	pedestal += truePed - altroSettings ;
	184	}
	185	else{
	186	AliWarning(Form("Can not read data from OCDB")) ;
	187	}
	188	fEnergy-=pedestal ;
	189	}
	190
	191	if (fEnergy < kBaseLine) fEnergy = 0;
	192
	193	//calculate time and energy
92236b27	194	Int_t maxBin=0 ;
	195	Int_t maxAmp=0 ;
	196	Double_t aMean =0. ;
	197	Double_t aRMS =0. ;
	198	Double_t wts =0 ;
	199	Int_t tStart=0 ;
	200
	201	for (Int_t i=0; i<sigLength; i++){
	202	if(signal[i] > pedestal){
	203	Double_t de = signal[i] - pedestal ;
	204	if(de > 1.) {
	205	aMean += de*i ;
	206	aRMS += deii ;
	207	wts += de;
379c5c09	208	}
92236b27	209	if(de > 2 && tStart==0)
	210	tStart = i ;
	211	if(maxAmp < signal[i]){
	212	maxBin = i ;
	213	maxAmp = signal[i] ;
379c5c09	214	}
	215	}
	216	}
92236b27	217
	218	if (maxBin==sigLength-1){//bad "rising" sample
	219	fEnergy = 0. ;
	220	fTime = -999. ;
	221	fQuality= 999. ;
379c5c09	222	return kTRUE ;
379c5c09	223	}
92236b27	224
379c5c09	225	fEnergy=Double_t(maxAmp)-pedestal ;
379c5c09	226	fOverflow =0 ; //look for plato on the top of sample
92236b27	227	if (fEnergy>500 && //this is not fluctuation of soft sample
92236b27	228	maxBin<sigLength-1 && fSamples->At(maxBin+1)==maxAmp){ //and there is a plato
379c5c09	229	fOverflow = kTRUE ;
379c5c09	230	}
92236b27	231
	232	if (wts > 0) {
	233	aMean /= wts;
	234	aRMS = aRMS/wts - aMean*aMean;
379c5c09	235	}
	236
	237	//do not take too small energies
92236b27	238	if (fEnergy < kBaseLine)
379c5c09	239	fEnergy = 0;
	240
	241	//do not test quality of too soft samples
92236b27	242	if (fEnergy < maxEtoFit){
	243	fTime = tStart;
	244	if (aRMS < 2.) //sigle peak
	245	fQuality = 999. ;
379c5c09	246	else
92236b27	247	fQuality = 0. ;
379c5c09	248	return kTRUE ;
	249	}
	250
92236b27	251	// if sample has reasonable mean and RMS, try to fit it with gamma2
379c5c09	252
	253	gMinuit->mncler(); // Reset Minuit's list of paramters
	254	gMinuit->SetPrintLevel(-1) ; // No Printout
	255	gMinuit->SetFCN(AliPHOSRawFitterv1::UnfoldingChiSquare) ;
	256	// To set the address of the minimization function
	257
	258	fToFit->Clear("nodelete") ;
	259	Double_t b=0,bmin=0,bmax=0 ;
92236b27	260	if (fCaloFlag == 0){ // Low gain
379c5c09	261	fSampleParamsLow->AddAt(pedestal,4) ;
92236b27	262	if (fOverflow)
379c5c09	263	fSampleParamsLow->AddAt(double(maxAmp),5) ;
	264	else
	265	fSampleParamsLow->AddAt(double(1023),5) ;
92236b27	266	fSampleParamsLow->AddAt(double(sigLength),6) ;
379c5c09	267	fToFit->AddFirst((TObject*)fSampleParamsLow) ;
	268	b=fSampleParamsLow->At(2) ;
	269	bmin=0.5 ;
	270	bmax=10. ;
	271	}
92236b27	272	else if (fCaloFlag == 1){ // High gain
379c5c09	273	fSampleParamsHigh->AddAt(pedestal,4) ;
92236b27	274	if (fOverflow)
379c5c09	275	fSampleParamsHigh->AddAt(double(maxAmp),5) ;
	276	else
	277	fSampleParamsHigh->AddAt(double(1023),5);
92236b27	278	fSampleParamsHigh->AddAt(double(sigLength),6);
379c5c09	279	fToFit->AddFirst((TObject*)fSampleParamsHigh) ;
	280	b=fSampleParamsHigh->At(2) ;
	281	bmin=0.05 ;
	282	bmax=0.4 ;
	283	}
	284	fToFit->AddLast((TObject*)fSamples) ;
	285	fToFit->AddLast((TObject*)fTimes) ;
	286
	287	gMinuit->SetObjectFit((TObject*)fToFit) ; // To tranfer pointer to UnfoldingChiSquare
	288	Int_t ierflg ;
	289	gMinuit->mnparm(0, "t0", 1.*tStart, 0.01, -500., 500., ierflg) ;
	290	if(ierflg != 0){
	291	// AliWarning(Form("Unable to set initial value for fit procedure : t0=%e\n",1.*tStart) ) ;
92236b27	292	fEnergy = 0. ;
	293	fTime =-999. ;
	294	fQuality= 999. ;
379c5c09	295	return kTRUE ; //will scan further
	296	}
	297	Double_t amp0=0;
92236b27	298	if (fCaloFlag == 0) // Low gain
	299	amp0 = fEnergy/sampleMaxLG;
	300	else if (fCaloFlag == 1) // High gain
	301	amp0 = fEnergy/sampleMaxHG;
379c5c09	302
	303	gMinuit->mnparm(1, "Energy", amp0 , 0.01*amp0, 0, 0, ierflg) ;
	304	if(ierflg != 0){
	305	// AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;
92236b27	306	fEnergy = 0. ;
	307	fTime =-999. ;
	308	fQuality= 999. ;
379c5c09	309	return kTRUE ; //will scan further
	310	}
	311
	312	gMinuit->mnparm(2, "p2", b, 0.01*b, bmin, bmax, ierflg) ;
	313	if(ierflg != 0){
	314	// AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;
92236b27	315	fEnergy = 0. ;
	316	fTime =-999. ;
	317	fQuality= 999. ;
379c5c09	318	return kTRUE ; //will scan further
	319	}
	320
379c5c09	321	Double_t p0 = 0.0001 ; // "Tolerance" Evaluation stops when EDM = 0.0001*p0 ; The number of function call slightly
	322	// depends on it.
	323	Double_t p1 = 1.0 ;
	324	Double_t p2 = 0.0 ;
	325	gMinuit->mnexcm("SET STR", &p2, 0, ierflg) ; // force TMinuit to reduce function calls
	326	gMinuit->mnexcm("SET GRA", &p1, 1, ierflg) ; // force TMinuit to use my gradient
	327	// gMinuit->SetMaxIterations(100);
	328	gMinuit->mnexcm("SET NOW", &p2 , 0, ierflg) ; // No Warnings
	329
	330	gMinuit->mnexcm("MIGRAD", &p0, 0, ierflg) ; // minimize
	331
	332	Double_t err,t0err ;
	333	Double_t t0,efit ;
92236b27	334	gMinuit->GetParameter(0,t0, t0err) ;
92236b27	335	gMinuit->GetParameter(1,efit, err) ;
379c5c09	336
	337	Double_t bfit, berr ;
	338	gMinuit->GetParameter(2,bfit,berr) ;
	339
	340	//Calculate total energy
92236b27	341	//this is parameterization of dependence of pulse height on parameter b
379c5c09	342	if(fCaloFlag == 0) // Low gain
92236b27	343	efit = 99.54910 + 78.65038bfit ;
379c5c09	344	else if(fCaloFlag == 1) // High gain
92236b27	345	efit = 80.33109 + 128.6433bfit ;
379c5c09	346
92236b27	347	if(efit < 0. \|\| efit > 10000.){
379c5c09	348	//set energy to previously found max
92236b27	349	fTime =-999.;
92236b27	350	fQuality= 999 ;
379c5c09	351	return kTRUE;
	352	}
	353
	354	//evaluate fit quality
	355	Double_t fmin,fedm,errdef ;
	356	Int_t npari,nparx,istat;
	357	gMinuit->mnstat(fmin,fedm,errdef,npari,nparx,istat) ;
92236b27	358	fQuality = fmin/sigLength ;
379c5c09	359	//compare quality with some parameterization
92236b27	360	if (fCaloFlag == 0) // Low gain
	361	fQuality /= 2.00 + 0.0020*fEnergy ;
	362	else if (fCaloFlag == 1) // High gain
	363	fQuality /= 0.75 + 0.0025*fEnergy ;
379c5c09	364
92236b27	365	fEnergy = efit ;
	366	fTime = t0 - 4.024bfit ; //-10.402bfit+4.669bfitbfit ; //Correction for 70 samples
	367	fTime += sigStart;
379c5c09	368
	369	delete fSamples ;
	370	delete fTimes ;
	371	return kTRUE;
	372	}
	373	//_____________________________________________________________________________
	374	void AliPHOSRawFitterv1::UnfoldingChiSquare(Int_t & /nPar/, Double_t * Grad, Double_t & fret, Double_t * x, Int_t iflag)
	375	{
	376	// Number of parameters, Gradient, Chi squared, parameters, what to do
	377
	378	TList * toFit= (TList*)gMinuit->GetObjectFit() ;
	379	TArrayD * params=(TArrayD*)toFit->At(0) ;
	380	TArrayI * samples = (TArrayI*)toFit->At(1) ;
	381	TArrayI * times = (TArrayI*)toFit->At(2) ;
	382
	383	fret = 0. ;
	384	if(iflag == 2)
	385	for(Int_t iparam = 0 ; iparam < 3 ; iparam++)
	386	Grad[iparam] = 0 ; // Will evaluate gradient
	387
	388	Double_t t0=x[0] ;
	389	Double_t en=x[1] ;
	390	Double_t b=x[2] ;
	391	Double_t n=params->At(0) ;
	392	Double_t alpha=params->At(1) ;
	393	Double_t beta=params->At(3) ;
	394	Double_t ped=params->At(4) ;
	395
	396	Double_t overflow=params->At(5) ;
	397	Int_t iBin = (Int_t) params->At(6) ;
	398	Int_t nSamples=TMath::Min(iBin+70,samples->GetSize()) ; //Here we set number of points to fit (70)
	399	// iBin - first non-zero sample
	400	Int_t tStep=times->At(iBin+1)-times->At(iBin) ;
	401	Double_t ddt=times->At(iBin)-t0-tStep ;
	402	Double_t exp1=TMath::Exp(-alpha*ddt) ;
	403	Double_t exp2=TMath::Exp(-beta*ddt) ;
	404	Double_t dexp1=TMath::Exp(-alpha*tStep) ;
	405	Double_t dexp2=TMath::Exp(-beta*tStep) ;
	406	for(Int_t i = iBin; i<nSamples ; i++) {
	407	Double_t dt=double(times->At(i))-t0 ;
	408	Double_t fsample = double(samples->At(i)) ;
	409	if(fsample>=overflow)
	410	continue ;
	411	Double_t diff ;
	412	exp1*=dexp1 ;
	413	exp2*=dexp2 ;
	414	if(dt<=0.){
	415	diff=fsample - ped ;
	416	fret += diff*diff ;
	417	continue ;
	418	}
	419	Double_t dtn=TMath::Power(dt,n) ;
	420	Double_t dtnE=dtn*exp1 ;
	421	Double_t dt2E=dtdtexp2 ;
	422	Double_t fit=ped+en(dtnE + bdt2E) ;
	423	diff = fsample - fit ;
	424	fret += diff*diff ;
	425	if(iflag == 2){ // calculate gradient
	426	Grad[0] += endiff(dtnE(n/dt-alpha)+bdt2E*(2./dt-beta)) ; //derivative over t0
	427	Grad[1] -= diff(dtnE+bdt2E) ;
	428	Grad[2] -= endiffdt2E ;
	429	}
	430	}
	431	if(iflag == 2)
432	for(Int_t iparam = 0 ; iparam < 3 ; iparam++)
433	Grad[iparam] *= 2. ;
434	}
435	//-----------------------------------------------------------------------------
436	Double_t AliPHOSRawFitterv1::Gamma2(Double_t dt,Double_t en,Double_t b,TArrayD * params){ //Function for fitting samples
437	//parameters:
438	//dt-time after start
439	//en-amplutude
440	//function parameters
441
442	Double_t ped=params->At(4) ;
443	if(dt<0.)
444	return ped ; //pedestal
445	else
446	return ped+en(TMath::Power(dt,params->At(0))TMath::Exp(-dtparams->At(1))+bdtdtTMath::Exp(-dt*params->At(3))) ;
447	}