[u/mrichter/AliRoot.git] / ITS / AliITSOnlineSDDBTP.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 "AliITSOnlineSDDBTP.h"
#include <TH2F.h>
#include <Riostream.h>
#include <TMath.h>


///////////////////////////////////////////////////////////////////
//                                                               //
// Class used for SDD baseline, noise and gain analysis          //
// Origin: F.Prino, Torino, prino@to.infn.it                     //
//                                                               //
///////////////////////////////////////////////////////////////////


ClassImp(AliITSOnlineSDDBTP)
//______________________________________________________________________
  AliITSOnlineSDDBTP::AliITSOnlineSDDBTP():AliITSOnlineSDD(),fNBaseEvents(0),fNTPEvents(0),fMinBaseline(0.),fMaxBaseline(0.),fMinRawNoise(0.),fMaxRawNoise(0.),fNSigmaNoise(0.),fNSigmaGain(0.)
{
  // default constructor
  Reset();
  SetMinBaseline();
  SetMaxBaseline();
  SetMinRawNoise();
  SetMaxRawNoise();
  SetNSigmaNoise();
  SetNSigmaGain();
}
//______________________________________________________________________
  AliITSOnlineSDDBTP::AliITSOnlineSDDBTP(Int_t mod, Int_t sid):AliITSOnlineSDD(mod,sid),fNBaseEvents(0),fNTPEvents(0),fMinBaseline(0.),fMaxBaseline(0.),fMinRawNoise(0.),fMaxRawNoise(0.),fNSigmaNoise(0.),fNSigmaGain(0.)
{
  // default constructor
  Reset();
  SetMinBaseline();
  SetMaxBaseline();
  SetMinRawNoise();
  SetMaxRawNoise();
  SetNSigmaNoise();
  SetNSigmaGain();
}
//______________________________________________________________________
AliITSOnlineSDDBTP::~AliITSOnlineSDDBTP(){
  // Destructor
}
//______________________________________________________________________
void AliITSOnlineSDDBTP::Reset(){
  fNBaseEvents=0;
  fNTPEvents=0;
  for(Int_t i=0;i<fgkNAnodes;i++){
    fGoodAnode[i]=1;
    fSumBaseline[i]=0.;
    fSumRawNoise[i]=0.;
    fSumCMN[i]=0.;
    fSumTPPeak[i]=0.;
    fTPPos[i]=0.;
  }
}
//______________________________________________________________________
void  AliITSOnlineSDDBTP::ValidateAnodes(){
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    fGoodAnode[ian]=1;
    if(GetAnodeBaseline(ian)>fMaxBaseline || GetAnodeBaseline(ian)<fMinBaseline) fGoodAnode[ian]=0;
    if(GetAnodeRawNoise(ian)>fMaxRawNoise || GetAnodeRawNoise(ian)<fMinRawNoise) fGoodAnode[ian]=0;
    if(GetAnodeRawNoise(ian)>fNSigmaNoise*CalcMeanRawNoise()) fGoodAnode[ian]=0;
  }
  if(fNTPEvents>0){
    Float_t meang,rmsg;
    StatGain(meang,rmsg);
    Float_t lowlim=meang-fNSigmaGain*rmsg;
    Float_t hilim=meang+fNSigmaGain*rmsg;
    for(Int_t ian=0;ian<fgkNAnodes;ian++){
      if(!fGoodAnode[ian]) continue;
      if(GetChannelGain(ian)<lowlim||GetChannelGain(ian)>hilim) fGoodAnode[ian]=0;
    }
  }
}

//______________________________________________________________________
void AliITSOnlineSDDBTP::AddTPEvent(TH2F* hrawd, Float_t xDAC){
  // 
  if(fNBaseEvents==0) return;
  fNTPEvents++;
  Float_t tbmax=(Float_t)hrawd->GetNbinsX();
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    Float_t auxmax=0.;
    Int_t auxtb=0;
    if(!fGoodAnode[ian]) continue;
    for(Int_t itb=0;itb<tbmax;itb++){
      Float_t cnt=hrawd->GetBinContent(itb+1,ian+1);
      if(cnt>auxmax){ 
	auxmax=cnt;
	auxtb=itb;
      }
    }
    fSumTPPeak[ian]+=(auxmax-GetAnodeBaseline(ian))/xDAC;
    fTPPos[ian]+=auxtb;
  }
}
//______________________________________________________________________
void AliITSOnlineSDDBTP::AddBaseEvent(TH2F* hrawd){
  // 
  fNBaseEvents++;
  Float_t tbmax=(Float_t)hrawd->GetNbinsX();
  Float_t sum[fgkNAnodes];
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    Float_t sumQ=0.;
    sum[ian]=0.;
    for(Int_t itb=0;itb<tbmax;itb++){
      sum[ian]+=hrawd->GetBinContent(itb+1,ian+1);
      sumQ+=TMath::Power(hrawd->GetBinContent(itb+1,ian+1),2);      
    }
    sum[ian]/=tbmax;
    sumQ/=tbmax;
    fSumBaseline[ian]+=sum[ian];
    fSumRawNoise[ian]+=sumQ;
    if(fNBaseEvents==1) ValidateAnodes();
  }


  const Int_t itbmax=int(tbmax);
  Float_t *cmnEven = new Float_t[itbmax];
  Float_t *cmnOdd  = new Float_t[itbmax];
  for(Int_t itb=0;itb<tbmax;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)-sum[ian];
      countEven++;
    }
    for(Int_t ian=1;ian<fgkNAnodes;ian+=2){
      if(!fGoodAnode[ian]) continue;
      sumOdd+=hrawd->GetBinContent(itb+1,ian+1)-sum[ian];
      countOdd++;
    }
    cmnEven[itb]=sumEven/countEven;
    cmnOdd[itb]=sumOdd/countOdd;
  }
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    Float_t num=0.,den=0.;
    if(!fGoodAnode[ian]) continue;
    for(Int_t itb=0;itb<tbmax;itb++){
      Float_t cmnCoef=cmnOdd[itb];
      if(ian%2==0) cmnCoef=cmnEven[itb];
      num+=(hrawd->GetBinContent(itb+1,ian+1)-sum[ian])*cmnCoef;
      den+=TMath::Power(cmnCoef,2);
    }
    if(den!=0) fSumCMN[ian]+=num/den;
  }
  delete [] cmnEven;
  delete [] cmnOdd;
}
//______________________________________________________________________
Float_t AliITSOnlineSDDBTP::CalcMeanRawNoise(){
  //
  Float_t meanns=0.;
  Int_t cnt=0;
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    if(!fGoodAnode[ian]) continue;  
    meanns+=GetAnodeRawNoise(ian);
    cnt++;
  }
  if(cnt>0) meanns/=(Float_t)cnt;
  return meanns;
}
//______________________________________________________________________
void AliITSOnlineSDDBTP::StatGain(Float_t &mean, Float_t  &rms){
  Float_t sum=0.,sumq=0.;
  Int_t cnt=0;
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    if(!fGoodAnode[ian]) continue;
    sum+=GetChannelGain(ian);
    sumq+=TMath::Power(GetChannelGain(ian),2);
    cnt++;
  }
  if(cnt>0){ 
    mean=sum/(Float_t)cnt;
    rms=TMath::Sqrt(sumq/(Float_t)cnt-mean*mean);
  }else{ 
    mean=0.;
    rms=0.;
  }
  return;
}
//______________________________________________________________________
void AliITSOnlineSDDBTP::WriteToFXS(){
  //
  Char_t outfilnam[100];
  sprintf(outfilnam,"SDDbase_mod%03d_sid%d.data",fModuleId,fSide);
  FILE* outf=fopen(outfilnam,"w");
  Float_t corrnoise=2.;
  for(Int_t ian=0;ian<fgkNAnodes;ian++){
    fprintf(outf,"%d %d %8.3f %8.3f %8.3f %8.3f %8.3f\n",ian,IsAnodeGood(ian),GetAnodeBaseline(ian),GetAnodeRawNoise(ian),GetAnodeCommonMode(ian),corrnoise,GetChannelGain(ian));
  }
  fclose(outf);  
}
Commit	Line	Data
348f80b7	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 "AliITSOnlineSDDBTP.h"
	16	#include <TH2F.h>
	17	#include <Riostream.h>
	18	#include <TMath.h>
	19
	20
	21	///////////////////////////////////////////////////////////////////
	22	// //
	23	// Class used for SDD baseline, noise and gain analysis //
	24	// Origin: F.Prino, Torino, prino@to.infn.it //
	25	// //
	26	///////////////////////////////////////////////////////////////////
	27
	28
	29	ClassImp(AliITSOnlineSDDBTP)
	30	//______________________________________________________________________
	31	AliITSOnlineSDDBTP::AliITSOnlineSDDBTP():AliITSOnlineSDD(),fNBaseEvents(0),fNTPEvents(0),fMinBaseline(0.),fMaxBaseline(0.),fMinRawNoise(0.),fMaxRawNoise(0.),fNSigmaNoise(0.),fNSigmaGain(0.)
	32	{
	33	// default constructor
	34	Reset();
	35	SetMinBaseline();
	36	SetMaxBaseline();
	37	SetMinRawNoise();
	38	SetMaxRawNoise();
	39	SetNSigmaNoise();
	40	SetNSigmaGain();
	41	}
	42	//______________________________________________________________________
	43	AliITSOnlineSDDBTP::AliITSOnlineSDDBTP(Int_t mod, Int_t sid):AliITSOnlineSDD(mod,sid),fNBaseEvents(0),fNTPEvents(0),fMinBaseline(0.),fMaxBaseline(0.),fMinRawNoise(0.),fMaxRawNoise(0.),fNSigmaNoise(0.),fNSigmaGain(0.)
	44	{
	45	// default constructor
	46	Reset();
	47	SetMinBaseline();
	48	SetMaxBaseline();
	49	SetMinRawNoise();
	50	SetMaxRawNoise();
	51	SetNSigmaNoise();
	52	SetNSigmaGain();
	53	}
	54	//______________________________________________________________________
	55	AliITSOnlineSDDBTP::~AliITSOnlineSDDBTP(){
	56	// Destructor
	57	}
	58	//______________________________________________________________________
	59	void AliITSOnlineSDDBTP::Reset(){
	60	fNBaseEvents=0;
	61	fNTPEvents=0;
	62	for(Int_t i=0;i<fgkNAnodes;i++){
	63	fGoodAnode[i]=1;
	64	fSumBaseline[i]=0.;
65	fSumRawNoise[i]=0.;
66	fSumCMN[i]=0.;
67	fSumTPPeak[i]=0.;
68	fTPPos[i]=0.;
69	}
70	}
71	//______________________________________________________________________
72	void AliITSOnlineSDDBTP::ValidateAnodes(){
73	for(Int_t ian=0;ian<fgkNAnodes;ian++){
74	fGoodAnode[ian]=1;
75	if(GetAnodeBaseline(ian)>fMaxBaseline \|\| GetAnodeBaseline(ian)<fMinBaseline) fGoodAnode[ian]=0;
76	if(GetAnodeRawNoise(ian)>fMaxRawNoise \|\| GetAnodeRawNoise(ian)<fMinRawNoise) fGoodAnode[ian]=0;
77	if(GetAnodeRawNoise(ian)>fNSigmaNoise*CalcMeanRawNoise()) fGoodAnode[ian]=0;
78	}
79	if(fNTPEvents>0){
80	Float_t meang,rmsg;
81	StatGain(meang,rmsg);
82	Float_t lowlim=meang-fNSigmaGain*rmsg;
83	Float_t hilim=meang+fNSigmaGain*rmsg;
84	for(Int_t ian=0;ian<fgkNAnodes;ian++){
85	if(!fGoodAnode[ian]) continue;
86	if(GetChannelGain(ian)<lowlim\|\|GetChannelGain(ian)>hilim) fGoodAnode[ian]=0;
87	}
88	}
89	}
90
91	//______________________________________________________________________
92	void AliITSOnlineSDDBTP::AddTPEvent(TH2F* hrawd, Float_t xDAC){
93	//
94	if(fNBaseEvents==0) return;
95	fNTPEvents++;
96	Float_t tbmax=(Float_t)hrawd->GetNbinsX();
97	for(Int_t ian=0;ian<fgkNAnodes;ian++){
98	Float_t auxmax=0.;
99	Int_t auxtb=0;
100	if(!fGoodAnode[ian]) continue;
101	for(Int_t itb=0;itb<tbmax;itb++){
102	Float_t cnt=hrawd->GetBinContent(itb+1,ian+1);
103	if(cnt>auxmax){
104	auxmax=cnt;
105	auxtb=itb;
106	}
107	}
108	fSumTPPeak[ian]+=(auxmax-GetAnodeBaseline(ian))/xDAC;
109	fTPPos[ian]+=auxtb;
110	}
111	}
112	//______________________________________________________________________
113	void AliITSOnlineSDDBTP::AddBaseEvent(TH2F* hrawd){
114	//
115	fNBaseEvents++;
116	Float_t tbmax=(Float_t)hrawd->GetNbinsX();
117	Float_t sum[fgkNAnodes];
118	for(Int_t ian=0;ian<fgkNAnodes;ian++){
119	Float_t sumQ=0.;
120	sum[ian]=0.;
121	for(Int_t itb=0;itb<tbmax;itb++){
122	sum[ian]+=hrawd->GetBinContent(itb+1,ian+1);
123	sumQ+=TMath::Power(hrawd->GetBinContent(itb+1,ian+1),2);
124	}
125	sum[ian]/=tbmax;
126	sumQ/=tbmax;
127	fSumBaseline[ian]+=sum[ian];
128	fSumRawNoise[ian]+=sumQ;
129	if(fNBaseEvents==1) ValidateAnodes();
130	}
131
132
133	const Int_t itbmax=int(tbmax);
134	Float_t *cmnEven = new Float_t[itbmax];
135	Float_t *cmnOdd = new Float_t[itbmax];
136	for(Int_t itb=0;itb<tbmax;itb++){
137	Float_t sumEven=0., sumOdd=0.;
138	Int_t countEven=0,countOdd=0;
139	for(Int_t ian=0;ian<fgkNAnodes;ian+=2){
140	if(!fGoodAnode[ian]) continue;
141	sumEven+=hrawd->GetBinContent(itb+1,ian+1)-sum[ian];
142	countEven++;
143	}
144	for(Int_t ian=1;ian<fgkNAnodes;ian+=2){
145	if(!fGoodAnode[ian]) continue;
146	sumOdd+=hrawd->GetBinContent(itb+1,ian+1)-sum[ian];
147	countOdd++;
148	}
149	cmnEven[itb]=sumEven/countEven;
150	cmnOdd[itb]=sumOdd/countOdd;
151	}
152	for(Int_t ian=0;ian<fgkNAnodes;ian++){
153	Float_t num=0.,den=0.;
154	if(!fGoodAnode[ian]) continue;
155	for(Int_t itb=0;itb<tbmax;itb++){
156	Float_t cmnCoef=cmnOdd[itb];
157	if(ian%2==0) cmnCoef=cmnEven[itb];
158	num+=(hrawd->GetBinContent(itb+1,ian+1)-sum[ian])*cmnCoef;
159	den+=TMath::Power(cmnCoef,2);
160	}
161	if(den!=0) fSumCMN[ian]+=num/den;
162	}
163	delete [] cmnEven;
164	delete [] cmnOdd;
165	}
166	//______________________________________________________________________
167	Float_t AliITSOnlineSDDBTP::CalcMeanRawNoise(){
168	//
169	Float_t meanns=0.;
170	Int_t cnt=0;
171	for(Int_t ian=0;ian<fgkNAnodes;ian++){
172	if(!fGoodAnode[ian]) continue;
173	meanns+=GetAnodeRawNoise(ian);
174	cnt++;
175	}
176	if(cnt>0) meanns/=(Float_t)cnt;
177	return meanns;
178	}
179	//______________________________________________________________________
180	void AliITSOnlineSDDBTP::StatGain(Float_t &mean, Float_t &rms){
181	Float_t sum=0.,sumq=0.;
182	Int_t cnt=0;
183	for(Int_t ian=0;ian<fgkNAnodes;ian++){
184	if(!fGoodAnode[ian]) continue;
185	sum+=GetChannelGain(ian);
186	sumq+=TMath::Power(GetChannelGain(ian),2);
187	cnt++;
188	}
189	if(cnt>0){
190	mean=sum/(Float_t)cnt;
191	rms=TMath::Sqrt(sumq/(Float_t)cnt-mean*mean);
192	}else{
193	mean=0.;
194	rms=0.;
195	}
196	return;
197	}
198	//______________________________________________________________________
199	void AliITSOnlineSDDBTP::WriteToFXS(){
200	//
201	Char_t outfilnam[100];
202	sprintf(outfilnam,"SDDbase_mod%03d_sid%d.data",fModuleId,fSide);
203	FILE* outf=fopen(outfilnam,"w");
204	Float_t corrnoise=2.;
205	for(Int_t ian=0;ian<fgkNAnodes;ian++){
206	fprintf(outf,"%d %d %8.3f %8.3f %8.3f %8.3f %8.3f\n",ian,IsAnodeGood(ian),GetAnodeBaseline(ian),GetAnodeRawNoise(ian),GetAnodeCommonMode(ian),corrnoise,GetChannelGain(ian));
207	}
208	fclose(outf);
209	}