[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(){
  //
  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
  Char_t basfilnam[100];
  sprintf(basfilnam,"SDDbase_step1_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
  FILE* basf=fopen(basfilnam,"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;
  }
  fscanf(basf,"%d\n",&fHighThreshold);
  fscanf(basf,"%d\n",&fLowThreshold);
  Int_t n,ok,eqbase,offbase;
  Float_t base,rms,cmn,corrnoi;
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    fscanf(basf,"%d %d %f %d %d %f %f %f\n",&n,&ok,&base,&eqbase,&offbase,&rms,&cmn,&corrnoi);
    fGoodAnode[ian]=ok;
    fBaseline[ian]=base;
    fEqBaseline[ian]=eqbase;
    fOffsetBaseline[ian]=offbase;
    fRawNoise[ian]=rms;
    fCMN[ian]=cmn;
  }
  fclose(basf);
}
//______________________________________________________________________
void  AliITSOnlineSDDCMN::ValidateAnodes(){
  //
  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;
  }
}

//______________________________________________________________________
void AliITSOnlineSDDCMN::AddEvent(TH2F* hrawd){
  // 
  fNEvents++;
  const Int_t kTimeBins=fLastGoodTB+1;
  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);
    }
  }

  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    if(!fGoodAnode[ian]) continue;
    Float_t sumQ=0.;
    for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
      sumQ+=TMath::Power(hcorrd->GetBinContent(itb+1,ian+1)-fBaseline[ian],2);      
    }
    fSumCorrNoise[ian]+=TMath::Sqrt(sumQ/(Float_t)kTimeBins);
  }
  delete hcorrd;
}
//______________________________________________________________________
Float_t AliITSOnlineSDDCMN::CalcMeanNoise() const{
  //
  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(){
  //
  Char_t outfilnam[100];
  sprintf(outfilnam,"SDDbase_step2_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
  FILE* outf=fopen(outfilnam,"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 {
  //
  Char_t hisnam[20];  
  sprintf(hisnam,"hbd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam,"",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 {
  //
  Char_t hisnam[20];  
  sprintf(hisnam,"hnd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam,"",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 {
  //
  Char_t hisnam[20];  
  sprintf(hisnam,"hcd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam,"",256,-0.5,255.5);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->SetBinContent(ian+1,GetAnodeCorrNoise(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetBaselineHisto() const {
  //
  Char_t hisnam[20];  
  sprintf(hisnam,"hdbd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam,"",100,0.,150.);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->Fill(GetAnodeBaseline(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetRawNoiseHisto() const {
  //
  Char_t hisnam[20];  
  sprintf(hisnam,"hdnd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam,"",100,0.,8.);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->Fill(GetAnodeRawNoise(ian));
  }
  return h;
}
//______________________________________________________________________
TH1F* AliITSOnlineSDDCMN::GetCorrNoiseHisto() const {
  //
  Char_t hisnam[20];  
  sprintf(hisnam,"hdcd%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F* h=new TH1F(hisnam,"",100,0.,8.);
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    h->Fill(GetAnodeCorrNoise(ian));
  }
  return h;
}
//______________________________________________________________________
Bool_t AliITSOnlineSDDCMN::WriteToROOT(TFile *fil){
  //
  if(fil==0){ 
    AliWarning("Invalid pointer to ROOT file");
    return kFALSE;    
  }
  Char_t hisnam[20];
  fil->cd();
  sprintf(hisnam,"hgood%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hgood(hisnam,"",256,-0.5,255.5);
  sprintf(hisnam,"hbase%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hbase(hisnam,"",256,-0.5,255.5);
  sprintf(hisnam,"hnois%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hnois(hisnam,"",256,-0.5,255.5);
  sprintf(hisnam,"hcmn%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hcmn(hisnam,"",256,-0.5,255.5);
  sprintf(hisnam,"hcorn%02dc%02ds%d",fDDL,fCarlos,fSide);
  TH1F hcorn(hisnam,"",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	//
	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	Char_t basfilnam[100];
	71	sprintf(basfilnam,"SDDbase_step1_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
	72	FILE* basf=fopen(basfilnam,"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	fscanf(basf,"%d\n",&fHighThreshold);
	84	fscanf(basf,"%d\n",&fLowThreshold);
	85	Int_t n,ok,eqbase,offbase;
	86	Float_t base,rms,cmn,corrnoi;
	87	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	88	fscanf(basf,"%d %d %f %d %d %f %f %f\n",&n,&ok,&base,&eqbase,&offbase,&rms,&cmn,&corrnoi);
	89	fGoodAnode[ian]=ok;
	90	fBaseline[ian]=base;
	91	fEqBaseline[ian]=eqbase;
	92	fOffsetBaseline[ian]=offbase;
	93	fRawNoise[ian]=rms;
	94	fCMN[ian]=cmn;
	95	}
	96	fclose(basf);
	97	}
	98	//______________________________________________________________________
	99	void AliITSOnlineSDDCMN::ValidateAnodes(){
	100	//
	101	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	102	if(!fGoodAnode[ian]) continue;
	103	if(GetAnodeCorrNoise(ian)>fMaxCorrNoise \|\| GetAnodeCorrNoise(ian)<fMinCorrNoise) fGoodAnode[ian]=0;
	104	if(GetAnodeCorrNoise(ian)>fNSigmaNoise*CalcMeanNoise()) fGoodAnode[ian]=0;
	105	}
	106	}
	107
	108	//______________________________________________________________________
	109	void AliITSOnlineSDDCMN::AddEvent(TH2F* hrawd){
	110	//
	111	fNEvents++;
	112	const Int_t kTimeBins=fLastGoodTB+1;
	113	TH2F* hcorrd=new TH2F("hcorrd","",hrawd->GetNbinsX(),hrawd->GetXaxis()->GetXmin(),hrawd->GetXaxis()->GetXmax(),hrawd->GetNbinsY(),hrawd->GetYaxis()->GetXmin(),hrawd->GetYaxis()->GetXmax());
	114	for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
	115	Float_t sumEven=0., sumOdd=0.;
	116	Int_t countEven=0, countOdd=0;
	117	for(Int_t ian=0;ian<fgkNAnodes;ian+=2){
	118	if(!fGoodAnode[ian]) continue;
	119	sumEven+=hrawd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
	120	countEven++;
	121	}
	122	for(Int_t ian=1;ian<fgkNAnodes;ian+=2){
	123	if(!fGoodAnode[ian]) continue;
	124	sumOdd+=hrawd->GetBinContent(itb+1,ian+1)-fBaseline[ian];
	125	countOdd++;
	126	}
	127	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	128	if(!fGoodAnode[ian]) continue;
	129	Float_t meanN;
	130	if(ian%2==0) meanN=sumEven/(Float_t)countEven;
	131	else meanN=sumOdd/(Float_t)countOdd;
	132	Float_t cntCorr=hrawd->GetBinContent(itb+1,ian+1)-fCMN[ian]*meanN;
	133	hcorrd->SetBinContent(itb+1,ian+1,cntCorr);
	134	}
	135	}
	136
	137	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	138	if(!fGoodAnode[ian]) continue;
	139	Float_t sumQ=0.;
	140	for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
	141	sumQ+=TMath::Power(hcorrd->GetBinContent(itb+1,ian+1)-fBaseline[ian],2);
	142	}
	143	fSumCorrNoise[ian]+=TMath::Sqrt(sumQ/(Float_t)kTimeBins);
	144	}
	145	delete hcorrd;
	146	}
	147	//______________________________________________________________________
	148	Float_t AliITSOnlineSDDCMN::CalcMeanNoise() const{
	149	//
	150	Float_t meanns=0.;
	151	Int_t cnt=0;
	152	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	153	if(!fGoodAnode[ian]) continue;
	154	meanns+=GetAnodeCorrNoise(ian);
	155	cnt++;
	156	}
	157	if(cnt>0) meanns/=(Float_t)cnt;
	158	return meanns;
	159	}
	160	//______________________________________________________________________
	161	void AliITSOnlineSDDCMN::WriteToASCII(){
	162	//
	163	Char_t outfilnam[100];
	164	sprintf(outfilnam,"SDDbase_step2_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
	165	FILE* outf=fopen(outfilnam,"w");
	166	fprintf(outf,"%d\n",fHighThreshold);
	167	fprintf(outf,"%d\n",fLowThreshold);
	168	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	169	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));
	170	}
	171	fclose(outf);
	172	}
	173
	174	//______________________________________________________________________
	175	TH1F* AliITSOnlineSDDCMN::GetBaselineAnodeHisto() const {
	176	//
	177	Char_t hisnam[20];
	178	sprintf(hisnam,"hbd%02dc%02ds%d",fDDL,fCarlos,fSide);
	179	TH1F* h=new TH1F(hisnam,"",256,-0.5,255.5);
	180	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	181	h->SetBinContent(ian+1,GetAnodeBaseline(ian));
	182	}
	183	return h;
	184	}
	185	//______________________________________________________________________
	186	TH1F* AliITSOnlineSDDCMN::GetRawNoiseAnodeHisto() const {
	187	//
	188	Char_t hisnam[20];
	189	sprintf(hisnam,"hnd%02dc%02ds%d",fDDL,fCarlos,fSide);
	190	TH1F* h=new TH1F(hisnam,"",256,-0.5,255.5);
	191	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	192	h->SetBinContent(ian+1,GetAnodeRawNoise(ian));
	193	}
	194	return h;
	195	}
	196	//______________________________________________________________________
	197	TH1F* AliITSOnlineSDDCMN::GetCorrNoiseAnodeHisto() const {
	198	//
	199	Char_t hisnam[20];
	200	sprintf(hisnam,"hcd%02dc%02ds%d",fDDL,fCarlos,fSide);
	201	TH1F* h=new TH1F(hisnam,"",256,-0.5,255.5);
	202	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	203	h->SetBinContent(ian+1,GetAnodeCorrNoise(ian));
	204	}
	205	return h;
	206	}
	207	//______________________________________________________________________
	208	TH1F* AliITSOnlineSDDCMN::GetBaselineHisto() const {
	209	//
	210	Char_t hisnam[20];
	211	sprintf(hisnam,"hdbd%02dc%02ds%d",fDDL,fCarlos,fSide);
	212	TH1F* h=new TH1F(hisnam,"",100,0.,150.);
	213	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	214	h->Fill(GetAnodeBaseline(ian));
	215	}
	216	return h;
	217	}
	218	//______________________________________________________________________
	219	TH1F* AliITSOnlineSDDCMN::GetRawNoiseHisto() const {
	220	//
	221	Char_t hisnam[20];
	222	sprintf(hisnam,"hdnd%02dc%02ds%d",fDDL,fCarlos,fSide);
	223	TH1F* h=new TH1F(hisnam,"",100,0.,8.);
	224	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	225	h->Fill(GetAnodeRawNoise(ian));
	226	}
	227	return h;
	228	}
	229	//______________________________________________________________________
	230	TH1F* AliITSOnlineSDDCMN::GetCorrNoiseHisto() const {
	231	//
	232	Char_t hisnam[20];
	233	sprintf(hisnam,"hdcd%02dc%02ds%d",fDDL,fCarlos,fSide);
	234	TH1F* h=new TH1F(hisnam,"",100,0.,8.);
	235	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	236	h->Fill(GetAnodeCorrNoise(ian));
	237	}
	238	return h;
	239	}
	240	//______________________________________________________________________
	241	Bool_t AliITSOnlineSDDCMN::WriteToROOT(TFile *fil){
	242	//
	243	if(fil==0){
	244	AliWarning("Invalid pointer to ROOT file");
	245	return kFALSE;
	246	}
	247	Char_t hisnam[20];
	248	fil->cd();
	249	sprintf(hisnam,"hgood%02dc%02ds%d",fDDL,fCarlos,fSide);
	250	TH1F hgood(hisnam,"",256,-0.5,255.5);
	251	sprintf(hisnam,"hbase%02dc%02ds%d",fDDL,fCarlos,fSide);
	252	TH1F hbase(hisnam,"",256,-0.5,255.5);
	253	sprintf(hisnam,"hnois%02dc%02ds%d",fDDL,fCarlos,fSide);
	254	TH1F hnois(hisnam,"",256,-0.5,255.5);
	255	sprintf(hisnam,"hcmn%02dc%02ds%d",fDDL,fCarlos,fSide);
	256	TH1F hcmn(hisnam,"",256,-0.5,255.5);
	257	sprintf(hisnam,"hcorn%02dc%02ds%d",fDDL,fCarlos,fSide);
	258	TH1F hcorn(hisnam,"",256,-0.5,255.5);
	259	for(Int_t ian=0;ian<fgkNAnodes;ian++){
	260	hgood.SetBinContent(ian+1,float(IsAnodeGood(ian)));
	261	hbase.SetBinContent(ian+1,GetAnodeBaseline(ian));
	262	hnois.SetBinContent(ian+1,GetAnodeRawNoise(ian));
	263	hcmn.SetBinContent(ian+1,GetAnodeCommonMode(ian));
	264	hcorn.SetBinContent(ian+1,GetAnodeCorrNoise(ian));
	265	}
	266	hgood.Write();
	267	hbase.Write();
	268	hnois.Write();
	269	hcmn.Write();
	270	hcorn.Write();
	271	return kTRUE;
	272	}