[u/mrichter/AliRoot.git] / ITS / AliITSOnlineSDDCMN.cxx

/**************************************************************************
 * Copyright(c) 2007-2009, 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.                  *
 **************************************************************************/
#include <TFile.h>
#include "AliITSOnlineSDDCMN.h"
#include "AliLog.h"
#include <TH2F.h>
#include <TMath.h>


///////////////////////////////////////////////////////////////////
//                                                               //
// Implementation of the class used for analysis of SDD noise    //
// corrected for common mode                                     //
// Origin: F.Prino, Torino, prino@to.infn.it                     //
//                                                               //
///////////////////////////////////////////////////////////////////


ClassImp(AliITSOnlineSDDCMN)
//______________________________________________________________________
  AliITSOnlineSDDCMN::AliITSOnlineSDDCMN():AliITSOnlineSDD(),fNEvents(0),fLowThreshold(0),fHighThreshold(0),fMinCorrNoise(0.),fMaxCorrNoise(0.),fNSigmaNoise(0.)
{
  // default constructor
  Reset();
  SetMinNoise();
  SetMaxNoise();
  SetNSigmaNoise();
}
//______________________________________________________________________
  AliITSOnlineSDDCMN::AliITSOnlineSDDCMN(Int_t nddl, Int_t ncarlos, Int_t sid):AliITSOnlineSDD(nddl,ncarlos,sid),fNEvents(0),fLowThreshold(0),fHighThreshold(0),fMinCorrNoise(0.),fMaxCorrNoise(0.),fNSigmaNoise(0.)
{
  // default constructor
  Reset();
  SetMinNoise();
  SetMaxNoise();
  SetNSigmaNoise();
}
//______________________________________________________________________
AliITSOnlineSDDCMN::~AliITSOnlineSDDCMN(){
  // Destructor
}
//______________________________________________________________________
void AliITSOnlineSDDCMN::Reset(){
  // Reset counters
  fNEvents=0;
  for(Int_t i=0;i<fgkNAnodes;i++){
    fGoodAnode[i]=1;
    fBaseline[i]=0.;
    fRawNoise[i]=0.;
    fCMN[i]=0.;
    fSumCorrNoise[i]=0.;
  }
  ReadBaselines();
}
//______________________________________________________________________
void AliITSOnlineSDDCMN::ReadBaselines(){
  // assume baselines and good anodes are taken from previous run
  TString basfilnam;
  basfilnam.Form("SDDbase_step1_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
  FILE* basf=fopen(basfilnam.Data(),"r");
  if(basf==0){
    AliWarning(Form("Baseline file not present (ddl %d  carlos %d side %d, Set all baselines to 50\n",fDDL,fCarlos,fSide));
    for(Int_t ian=0;ian<fgkNAnodes;ian++){ 
      fBaseline[ian]=50.;
      fEqBaseline[ian]=50;
      fOffsetBaseline[ian]=0;
      fGoodAnode[ian]=1;
    }
    return;
  }
  Int_t check = fscanf(basf,"%d\n",&fHighThreshold);
  if(check<1)AliError("Error while reading file with baselines");
  check = fscanf(basf,"%d\n",&fLowThreshold);
  if(check<1)AliError("Error while reading file with baselines");
  Int_t n,ok,eqbase,offbase;
  Float_t base,rms,cmn,corrnoi;
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    check = fscanf(basf,"%d %d %f %d %d %f %f %f\n",&n,&ok,&base,&eqbase,&offbase,&rms,&cmn,&corrnoi);
    if(check<1)AliError("Error while reading file with baselines");
    fGoodAnode[ian]=ok;
    fBaseline[ian]=base;
    fEqBaseline[ian]=eqbase;
    fOffsetBaseline[ian]=offbase;
    fRawNoise[ian]=rms;
    fCMN[ian]=cmn;
  }
  fclose(basf);
}
//______________________________________________________________________
void  AliITSOnlineSDDCMN::ValidateAnodes(){
  // Tag good/bad anodes
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    if(!fGoodAnode[ian]) continue;
    if(GetAnodeCorrNoise(ian)>fMaxCorrNoise || GetAnodeCorrNoise(ian)<fMinCorrNoise) fGoodAnode[ian]=0;
    if(GetAnodeCorrNoise(ian)>fNSigmaNoise*CalcMeanNoise()) fGoodAnode[ian]=0;
  }
}

//______________________________________________________________________
TH2F* AliITSOnlineSDDCMN::GetCleanEvent(const TH2F* hrawd) const {
  // Fills an histogram with counts corrected for common mode noise

  TH2F* hcorrd=new TH2F("hcorrd","",hrawd->GetNbinsX(),hrawd->GetXaxis()->GetXmin(),hrawd->GetXaxis()->GetXmax(),hrawd->GetNbinsY(),hrawd->GetYaxis()->GetXmin(),hrawd->GetYaxis()->GetXmax());
  for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
    Float_t sumEven=0., sumOdd=0.;
    Int_t countEven=0, countOdd=0;
    for(Int_t ian=0;ian<fgkNAnodes;ian+=2){
      if(!fGoodAnode[ian]) continue;
      sumEven+=hrawd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
      countEven++;
    }
    for(Int_t ian=1;ian<fgkNAnodes;ian+=2){
      if(!fGoodAnode[ian]) continue;
      sumOdd+=hrawd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
      countOdd++;
    }
    for(Int_t ian=0;ian<fgkNAnodes;ian++){
      if(!fGoodAnode[ian]) continue;
      Float_t meanN;
      if(ian%2==0) meanN=sumEven/(Float_t)countEven;
      else meanN=sumOdd/(Float_t)countOdd;
      Float_t cntCorr=hrawd->GetBinContent(itb+1,ian+1)-fCMN[ian]*meanN;
      hcorrd->SetBinContent(itb+1,ian+1,cntCorr);
    }
  }
  return hcorrd;
}
//______________________________________________________________________
void AliITSOnlineSDDCMN::AddEvent(TH2F* hrawd){
  // analyzes one event and adds its ontribution to the various counters

  fNEvents++;
  TH2F* hcorrd=GetCleanEvent(hrawd);

  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    if(!fGoodAnode[ian]) continue;
    Float_t sumQ=0.;
    Int_t cnt=0;
    for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
      Float_t cntdiff=hcorrd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
      sumQ+=cntdiff*cntdiff;
      cnt++;    
    }
    if(cnt != 0)fSumCorrNoise[ian]+=TMath::Sqrt(sumQ/(Float_t)cnt);
  }
  delete hcorrd;
}
//______________________________________________________________________
Float_t AliITSOnlineSDDCMN::CalcMeanNoise() const{
  // compute average noise

  Float_t meanns=0.;
  Int_t cnt=0;
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    if(!fGoodAnode[ian]) continue;  
    meanns+=GetAnodeCorrNoise(ian);
    cnt++;
  }
  if(cnt>0) meanns/=(Float_t)cnt;
  return meanns;
}
//______________________________________________________________________
void AliITSOnlineSDDCMN::WriteToASCII(){
  // writes parameters of each channel into an ASCII file 
  // to be then read by the PULSER DA (AliITSOnlineSDDTP)

  TString outfilnam;
  outfilnam.Form("SDDbase_step2_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
  FILE* outf=fopen(outfilnam.Data(),"w");
  fprintf(outf,"%d\n",fHighThreshold);
  fprintf(outf,"%d\n",fLowThreshold);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    fprintf(outf,"%d %d %8.3f %d %d %8.3f %8.3f %8.3f\n",ian,IsAnodeGood(ian),GetAnodeBaseline(ian),GetAnodeEqualizedBaseline(ian),GetAnodeBaselineOffset(ian),GetAnodeRawNoise(ian),GetAnodeCommonMode(ian),GetAnodeCorrNoise(ian));
  }
  fclose(outf);  
}

//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetBaselineAnodeHisto() const {
  // produce histogram with baseline vs. anode number
  TString hisnam;  
  hisnam.Form("hbase%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->SetBinContent(ian+1,GetAnodeBaseline(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetRawNoiseAnodeHisto() const {
  // produce histogram with raw noise vs. anode number
  TString hisnam;  
  hisnam.Form("hnois%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->SetBinContent(ian+1,GetAnodeRawNoise(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetCorrNoiseAnodeHisto() const {
  // produce histogram with corrected noise vs. anode number
  TString hisnam;  
  hisnam.Form("hcorn%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->SetBinContent(ian+1,GetAnodeCorrNoise(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetCMNCoefAnodeHisto() const {
  // produce histogram with coefficients for common mode noise subtraction
  TString hisnam;  
  hisnam.Form("hcmn%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->SetBinContent(ian+1,GetAnodeCommonMode(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetStatusAnodeHisto() const {
  // produce histogram with status bit of each anode
  TString hisnam;  
  hisnam.Form("hgood%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->SetBinContent(ian+1,float(IsAnodeGood(ian)));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetBaselineHisto() const {
  // produce histogram with baseline distribution
  TString hisnam;  
  hisnam.Form("hdbd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",100,0.,150.);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->Fill(GetAnodeBaseline(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetRawNoiseHisto() const {
  // produce histogram with raw noise distribution
  TString hisnam;  
  hisnam.Form("hdnd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",100,0.,8.);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->Fill(GetAnodeRawNoise(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetCorrNoiseHisto() const {
  // produce histogram with corrected noise distribution
  TString hisnam;  
  hisnam.Form("hdcd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam.Data(),"",100,0.,8.);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->Fill(GetAnodeCorrNoise(ian));
  }
  return h;
}
//______________________________________________________________________
Bool_t AliITSOnlineSDDCMN::WriteToROOT(TFile *fil){
  // writes output into a root file
  if(fil==0){ 
    AliWarning("Invalid pointer to ROOT file");
    return kFALSE;    
  }
  TString hisnam;
  fil->cd();
  hisnam.Form("hgood%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hgood(hisnam.Data(),"",256,-0.5,255.5);
  hisnam.Form("hbase%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hbase(hisnam.Data(),"",256,-0.5,255.5);
  hisnam.Form("hnois%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hnois(hisnam.Data(),"",256,-0.5,255.5);
  hisnam.Form("hcmn%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hcmn(hisnam.Data(),"",256,-0.5,255.5);
  hisnam.Form("hcorn%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hcorn(hisnam.Data(),"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    hgood.SetBinContent(ian+1,float(IsAnodeGood(ian)));
    hbase.SetBinContent(ian+1,GetAnodeBaseline(ian));
    hnois.SetBinContent(ian+1,GetAnodeRawNoise(ian));
    hcmn.SetBinContent(ian+1,GetAnodeCommonMode(ian));
    hcorn.SetBinContent(ian+1,GetAnodeCorrNoise(ian));
  }
  hgood.Write();
  hbase.Write();
  hnois.Write();
  hcmn.Write();
  hcorn.Write();
  return kTRUE;
}
Commit	Line	Data
	1	/**************************************************************************
	2	* Copyright(c) 2007-2009, 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	#include <TFile.h>
	16	#include "AliITSOnlineSDDCMN.h"
	17	#include "AliLog.h"
	18	#include <TH2F.h>
	19	#include <TMath.h>
	20
	21
	22	///////////////////////////////////////////////////////////////////
	23	// //
	24	// Implementation of the class used for analysis of SDD noise //
	25	// corrected for common mode //
	26	// Origin: F.Prino, Torino, prino@to.infn.it //
	27	// //
	28	///////////////////////////////////////////////////////////////////
	29
	30
	31	ClassImp(AliITSOnlineSDDCMN)
	32	//______________________________________________________________________
	33	AliITSOnlineSDDCMN::AliITSOnlineSDDCMN():AliITSOnlineSDD(),fNEvents(0),fLowThreshold(0),fHighThreshold(0),fMinCorrNoise(0.),fMaxCorrNoise(0.),fNSigmaNoise(0.)
	34	{
	35	// default constructor
	36	Reset();
	37	SetMinNoise();
	38	SetMaxNoise();
	39	SetNSigmaNoise();
	40	}
	41	//______________________________________________________________________
	42	AliITSOnlineSDDCMN::AliITSOnlineSDDCMN(Int_t nddl, Int_t ncarlos, Int_t sid):AliITSOnlineSDD(nddl,ncarlos,sid),fNEvents(0),fLowThreshold(0),fHighThreshold(0),fMinCorrNoise(0.),fMaxCorrNoise(0.),fNSigmaNoise(0.)
	43	{
	44	// default constructor
	45	Reset();
	46	SetMinNoise();
	47	SetMaxNoise();
	48	SetNSigmaNoise();
	49	}
	50	//______________________________________________________________________
	51	AliITSOnlineSDDCMN::~AliITSOnlineSDDCMN(){
	52	// Destructor
	53	}
	54	//______________________________________________________________________
	55	void AliITSOnlineSDDCMN::Reset(){
	56	// Reset counters
	57	fNEvents=0;
	58	for(Int_t i=0;i<fgkNAnodes;i++){
	59	fGoodAnode[i]=1;
	60	fBaseline[i]=0.;
	61	fRawNoise[i]=0.;
	62	fCMN[i]=0.;
	63	fSumCorrNoise[i]=0.;
	64	}
	65	ReadBaselines();
	66	}
	67	//______________________________________________________________________
	68	void AliITSOnlineSDDCMN::ReadBaselines(){
	69	// assume baselines and good anodes are taken from previous run
	70	TString basfilnam;
	71	basfilnam.Form("SDDbase_step1_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
	72	FILE* basf=fopen(basfilnam.Data(),"r");
	73	if(basf==0){
	74	AliWarning(Form("Baseline file not present (ddl %d carlos %d side %d, Set all baselines to 50\n",fDDL,fCarlos,fSide));
	75	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	76	fBaseline[ian]=50.;
	77	fEqBaseline[ian]=50;
	78	fOffsetBaseline[ian]=0;
	79	fGoodAnode[ian]=1;
	80	}
	81	return;
	82	}
	83	Int_t check = fscanf(basf,"%d\n",&fHighThreshold);
	84	if(check<1)AliError("Error while reading file with baselines");
	85	check = fscanf(basf,"%d\n",&fLowThreshold);
	86	if(check<1)AliError("Error while reading file with baselines");
	87	Int_t n,ok,eqbase,offbase;
	88	Float_t base,rms,cmn,corrnoi;
	89	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	90	check = fscanf(basf,"%d %d %f %d %d %f %f %f\n",&n,&ok,&base,&eqbase,&offbase,&rms,&cmn,&corrnoi);
	91	if(check<1)AliError("Error while reading file with baselines");
	92	fGoodAnode[ian]=ok;
	93	fBaseline[ian]=base;
	94	fEqBaseline[ian]=eqbase;
	95	fOffsetBaseline[ian]=offbase;
	96	fRawNoise[ian]=rms;
	97	fCMN[ian]=cmn;
	98	}
	99	fclose(basf);
	100	}
	101	//______________________________________________________________________
	102	void AliITSOnlineSDDCMN::ValidateAnodes(){
	103	// Tag good/bad anodes
	104	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	105	if(!fGoodAnode[ian]) continue;
	106	if(GetAnodeCorrNoise(ian)>fMaxCorrNoise \|\| GetAnodeCorrNoise(ian)<fMinCorrNoise) fGoodAnode[ian]=0;
	107	if(GetAnodeCorrNoise(ian)>fNSigmaNoise*CalcMeanNoise()) fGoodAnode[ian]=0;
	108	}
	109	}
	110
	111	//______________________________________________________________________
	112	TH2F* AliITSOnlineSDDCMN::GetCleanEvent(const TH2F* hrawd) const {
	113	// Fills an histogram with counts corrected for common mode noise
	114
	115	TH2F* hcorrd=new TH2F("hcorrd","",hrawd->GetNbinsX(),hrawd->GetXaxis()->GetXmin(),hrawd->GetXaxis()->GetXmax(),hrawd->GetNbinsY(),hrawd->GetYaxis()->GetXmin(),hrawd->GetYaxis()->GetXmax());
	116	for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
	117	Float_t sumEven=0., sumOdd=0.;
	118	Int_t countEven=0, countOdd=0;
	119	for(Int_t ian=0;ian<fgkNAnodes;ian+=2){
	120	if(!fGoodAnode[ian]) continue;
	121	sumEven+=hrawd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
	122	countEven++;
	123	}
	124	for(Int_t ian=1;ian<fgkNAnodes;ian+=2){
	125	if(!fGoodAnode[ian]) continue;
	126	sumOdd+=hrawd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
	127	countOdd++;
	128	}
	129	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	130	if(!fGoodAnode[ian]) continue;
	131	Float_t meanN;
	132	if(ian%2==0) meanN=sumEven/(Float_t)countEven;
	133	else meanN=sumOdd/(Float_t)countOdd;
	134	Float_t cntCorr=hrawd->GetBinContent(itb+1,ian+1)-fCMN[ian]*meanN;
	135	hcorrd->SetBinContent(itb+1,ian+1,cntCorr);
	136	}
	137	}
	138	return hcorrd;
	139	}
	140	//______________________________________________________________________
	141	void AliITSOnlineSDDCMN::AddEvent(TH2F* hrawd){
	142	// analyzes one event and adds its ontribution to the various counters
	143
	144	fNEvents++;
	145	TH2F* hcorrd=GetCleanEvent(hrawd);
	146
	147	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	148	if(!fGoodAnode[ian]) continue;
	149	Float_t sumQ=0.;
	150	Int_t cnt=0;
	151	for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
	152	Float_t cntdiff=hcorrd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
	153	sumQ+=cntdiff*cntdiff;
	154	cnt++;
	155	}
	156	if(cnt != 0)fSumCorrNoise[ian]+=TMath::Sqrt(sumQ/(Float_t)cnt);
	157	}
	158	delete hcorrd;
	159	}
	160	//______________________________________________________________________
	161	Float_t AliITSOnlineSDDCMN::CalcMeanNoise() const{
	162	// compute average noise
	163
	164	Float_t meanns=0.;
	165	Int_t cnt=0;
	166	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	167	if(!fGoodAnode[ian]) continue;
	168	meanns+=GetAnodeCorrNoise(ian);
	169	cnt++;
	170	}
	171	if(cnt>0) meanns/=(Float_t)cnt;
	172	return meanns;
	173	}
	174	//______________________________________________________________________
	175	void AliITSOnlineSDDCMN::WriteToASCII(){
	176	// writes parameters of each channel into an ASCII file
	177	// to be then read by the PULSER DA (AliITSOnlineSDDTP)
	178
	179	TString outfilnam;
	180	outfilnam.Form("SDDbase_step2_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
	181	FILE* outf=fopen(outfilnam.Data(),"w");
	182	fprintf(outf,"%d\n",fHighThreshold);
	183	fprintf(outf,"%d\n",fLowThreshold);
	184	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	185	fprintf(outf,"%d %d %8.3f %d %d %8.3f %8.3f %8.3f\n",ian,IsAnodeGood(ian),GetAnodeBaseline(ian),GetAnodeEqualizedBaseline(ian),GetAnodeBaselineOffset(ian),GetAnodeRawNoise(ian),GetAnodeCommonMode(ian),GetAnodeCorrNoise(ian));
	186	}
	187	fclose(outf);
	188	}
	189
	190	//______________________________________________________________________
	191	TH1F* AliITSOnlineSDDCMN::GetBaselineAnodeHisto() const {
	192	// produce histogram with baseline vs. anode number
	193	TString hisnam;
	194	hisnam.Form("hbase%02dc%02ds%d",fDDL,fCarlos,fSide);
	195	TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
	196	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	197	h->SetBinContent(ian+1,GetAnodeBaseline(ian));
	198	}
	199	return h;
	200	}
	201	//______________________________________________________________________
	202	TH1F* AliITSOnlineSDDCMN::GetRawNoiseAnodeHisto() const {
	203	// produce histogram with raw noise vs. anode number
	204	TString hisnam;
	205	hisnam.Form("hnois%02dc%02ds%d",fDDL,fCarlos,fSide);
	206	TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
	207	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	208	h->SetBinContent(ian+1,GetAnodeRawNoise(ian));
	209	}
	210	return h;
	211	}
	212	//______________________________________________________________________
	213	TH1F* AliITSOnlineSDDCMN::GetCorrNoiseAnodeHisto() const {
	214	// produce histogram with corrected noise vs. anode number
	215	TString hisnam;
	216	hisnam.Form("hcorn%02dc%02ds%d",fDDL,fCarlos,fSide);
	217	TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
	218	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	219	h->SetBinContent(ian+1,GetAnodeCorrNoise(ian));
	220	}
	221	return h;
	222	}
	223	//______________________________________________________________________
	224	TH1F* AliITSOnlineSDDCMN::GetCMNCoefAnodeHisto() const {
	225	// produce histogram with coefficients for common mode noise subtraction
	226	TString hisnam;
	227	hisnam.Form("hcmn%02dc%02ds%d",fDDL,fCarlos,fSide);
	228	TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
	229	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	230	h->SetBinContent(ian+1,GetAnodeCommonMode(ian));
	231	}
	232	return h;
	233	}
	234	//______________________________________________________________________
	235	TH1F* AliITSOnlineSDDCMN::GetStatusAnodeHisto() const {
	236	// produce histogram with status bit of each anode
	237	TString hisnam;
	238	hisnam.Form("hgood%02dc%02ds%d",fDDL,fCarlos,fSide);
	239	TH1F* h=new TH1F(hisnam.Data(),"",256,-0.5,255.5);
	240	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	241	h->SetBinContent(ian+1,float(IsAnodeGood(ian)));
	242	}
	243	return h;
	244	}
	245	//______________________________________________________________________
	246	TH1F* AliITSOnlineSDDCMN::GetBaselineHisto() const {
	247	// produce histogram with baseline distribution
	248	TString hisnam;
	249	hisnam.Form("hdbd%02dc%02ds%d",fDDL,fCarlos,fSide);
	250	TH1F* h=new TH1F(hisnam.Data(),"",100,0.,150.);
	251	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	252	h->Fill(GetAnodeBaseline(ian));
	253	}
	254	return h;
	255	}
	256	//______________________________________________________________________
	257	TH1F* AliITSOnlineSDDCMN::GetRawNoiseHisto() const {
	258	// produce histogram with raw noise distribution
	259	TString hisnam;
	260	hisnam.Form("hdnd%02dc%02ds%d",fDDL,fCarlos,fSide);
	261	TH1F* h=new TH1F(hisnam.Data(),"",100,0.,8.);
	262	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	263	h->Fill(GetAnodeRawNoise(ian));
	264	}
	265	return h;
	266	}
	267	//______________________________________________________________________
	268	TH1F* AliITSOnlineSDDCMN::GetCorrNoiseHisto() const {
	269	// produce histogram with corrected noise distribution
	270	TString hisnam;
	271	hisnam.Form("hdcd%02dc%02ds%d",fDDL,fCarlos,fSide);
	272	TH1F* h=new TH1F(hisnam.Data(),"",100,0.,8.);
	273	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	274	h->Fill(GetAnodeCorrNoise(ian));
	275	}
	276	return h;
	277	}
	278	//______________________________________________________________________
	279	Bool_t AliITSOnlineSDDCMN::WriteToROOT(TFile *fil){
	280	// writes output into a root file
	281	if(fil==0){
	282	AliWarning("Invalid pointer to ROOT file");
	283	return kFALSE;
	284	}
	285	TString hisnam;
	286	fil->cd();
	287	hisnam.Form("hgood%02dc%02ds%d",fDDL,fCarlos,fSide);
	288	TH1F hgood(hisnam.Data(),"",256,-0.5,255.5);
	289	hisnam.Form("hbase%02dc%02ds%d",fDDL,fCarlos,fSide);
	290	TH1F hbase(hisnam.Data(),"",256,-0.5,255.5);
	291	hisnam.Form("hnois%02dc%02ds%d",fDDL,fCarlos,fSide);
	292	TH1F hnois(hisnam.Data(),"",256,-0.5,255.5);
	293	hisnam.Form("hcmn%02dc%02ds%d",fDDL,fCarlos,fSide);
	294	TH1F hcmn(hisnam.Data(),"",256,-0.5,255.5);
	295	hisnam.Form("hcorn%02dc%02ds%d",fDDL,fCarlos,fSide);
	296	TH1F hcorn(hisnam.Data(),"",256,-0.5,255.5);
	297	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	298	hgood.SetBinContent(ian+1,float(IsAnodeGood(ian)));
	299	hbase.SetBinContent(ian+1,GetAnodeBaseline(ian));
	300	hnois.SetBinContent(ian+1,GetAnodeRawNoise(ian));
	301	hcmn.SetBinContent(ian+1,GetAnodeCommonMode(ian));
	302	hcorn.SetBinContent(ian+1,GetAnodeCorrNoise(ian));
	303	}
	304	hgood.Write();
	305	hbase.Write();
	306	hnois.Write();
	307	hcmn.Write();
	308	hcorn.Write();
	309	return kTRUE;
	310	}