Line data Source code
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 "AliITSOnlineSDDBase.h"
16 : #include <TH2F.h>
17 : #include <TMath.h>
18 :
19 :
20 : ///////////////////////////////////////////////////////////////////
21 : // //
22 : // Implementation of the class used for SDD baselines //
23 : // and noise analysis //
24 : // Origin: F.Prino, Torino, prino@to.infn.it //
25 : // //
26 : ///////////////////////////////////////////////////////////////////
27 :
28 : /* $Id$ */
29 :
30 : const Int_t AliITSOnlineSDDBase::fgkMaxCorr=63; // 6 but correction
31 :
32 116 : ClassImp(AliITSOnlineSDDBase)
33 : //______________________________________________________________________
34 0 : AliITSOnlineSDDBase::AliITSOnlineSDDBase():AliITSOnlineSDD(),fNEvents(0),fMinBaseline(0.),fMaxBaseline(0.),fMinRawNoise(0.),fMaxRawNoise(0.),fNSigmaNoise(0.),fGoldenBaseline(0.),fLowThrFact(0.),fHighThrFact(0.)
35 0 : {
36 : // default constructor
37 0 : Reset();
38 0 : SetMinBaseline();
39 0 : SetMaxBaseline();
40 0 : SetMinRawNoise();
41 0 : SetMaxRawNoise();
42 0 : SetNSigmaNoise();
43 0 : SetGoldenBaselineValue();
44 0 : SetZeroSuppThresholds();
45 0 : }
46 : //______________________________________________________________________
47 0 : AliITSOnlineSDDBase::AliITSOnlineSDDBase(Int_t nddl, Int_t ncarlos, Int_t sid):AliITSOnlineSDD(nddl,ncarlos,sid),fNEvents(0),fMinBaseline(0.),fMaxBaseline(0.),fMinRawNoise(0.),fMaxRawNoise(0.),fNSigmaNoise(0.),fGoldenBaseline(0.),fLowThrFact(0.),fHighThrFact(0.)
48 0 : {
49 : // default constructor
50 0 : Reset();
51 0 : SetMinBaseline();
52 0 : SetMaxBaseline();
53 0 : SetMinRawNoise();
54 0 : SetMaxRawNoise();
55 0 : SetNSigmaNoise();
56 0 : SetGoldenBaselineValue();
57 0 : SetZeroSuppThresholds();
58 0 : }
59 : //______________________________________________________________________
60 0 : AliITSOnlineSDDBase::~AliITSOnlineSDDBase(){
61 : // Destructor
62 0 : }
63 : //______________________________________________________________________
64 : void AliITSOnlineSDDBase::Reset(){
65 : // reset all counters
66 0 : fNEvents=0;
67 0 : for(Int_t i=0;i<fgkNAnodes;i++){
68 0 : fGoodAnode[i]=1;
69 0 : fSumBaseline[i]=0.;
70 0 : fSumRawNoise[i]=0.;
71 0 : fSumCMN[i]=0.;
72 : }
73 0 : }
74 : //______________________________________________________________________
75 : void AliITSOnlineSDDBase::ValidateAnodes(){
76 : // tag good/bad channels
77 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
78 0 : fGoodAnode[ian]=1;
79 0 : Float_t basel=GetAnodeBaseline(ian);
80 0 : Float_t rawn=GetAnodeRawNoise(ian);
81 : Float_t ratio=0.;
82 0 : if(rawn>0) ratio=basel/rawn;
83 0 : if(basel>fMaxBaseline || basel<fMinBaseline) fGoodAnode[ian]=0;
84 0 : else if(rawn>fMaxRawNoise || rawn<fMinRawNoise) fGoodAnode[ian]=0;
85 0 : else if(rawn>fNSigmaNoise*CalcMeanRawNoise()) fGoodAnode[ian]=0;
86 0 : else if(ratio<3.) fGoodAnode[ian]=0;
87 : }
88 0 : }
89 :
90 : //______________________________________________________________________
91 : void AliITSOnlineSDDBase::AddEvent(TH2F* hrawd){
92 : // analyzes one event and adds its ontribution to the various counters
93 :
94 0 : fNEvents++;
95 0 : const Int_t kTimeBins=fLastGoodTB+1;
96 0 : Float_t sum[fgkNAnodes];
97 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
98 : Float_t sumQ=0.;
99 0 : sum[ian]=0.;
100 : Int_t cnt=0;
101 0 : for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
102 0 : Float_t cbin=hrawd->GetBinContent(itb+1,ian+1);
103 0 : sum[ian]+=cbin;
104 0 : sumQ+=cbin*cbin;
105 0 : cnt++;
106 : }
107 0 : if(cnt != 0){
108 0 : sum[ian]/=(Float_t)cnt;
109 0 : sumQ/=(Float_t)cnt;
110 0 : }
111 0 : fSumBaseline[ian]+=sum[ian];
112 0 : fSumRawNoise[ian]+=sumQ;
113 : }
114 0 : if(fNEvents==1) ValidateAnodes();
115 :
116 0 : Float_t *cmnEven = new Float_t[kTimeBins];
117 0 : Float_t *cmnOdd = new Float_t[kTimeBins];
118 0 : for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
119 : Float_t sumEven=0., sumOdd=0.;
120 : Int_t countEven=0,countOdd=0;
121 0 : for(Int_t ian=0;ian<fgkNAnodes;ian+=2){
122 0 : if(!fGoodAnode[ian]) continue;
123 0 : sumEven+=hrawd->GetBinContent(itb+1,ian+1)-sum[ian];
124 0 : countEven++;
125 0 : }
126 0 : for(Int_t ian=1;ian<fgkNAnodes;ian+=2){
127 0 : if(!fGoodAnode[ian]) continue;
128 0 : sumOdd+=hrawd->GetBinContent(itb+1,ian+1)-sum[ian];
129 0 : countOdd++;
130 0 : }
131 0 : if(countEven>0) cmnEven[itb]=sumEven/countEven;
132 0 : if(countOdd>0) cmnOdd[itb]=sumOdd/countOdd;
133 : }
134 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
135 : Float_t num=0.,den=0.;
136 0 : if(!fGoodAnode[ian]) continue;
137 0 : for(Int_t itb=fFirstGoodTB;itb<=fLastGoodTB;itb++){
138 0 : Float_t cmnCoef=cmnOdd[itb];
139 0 : if(ian%2==0) cmnCoef=cmnEven[itb];
140 0 : num+=(hrawd->GetBinContent(itb+1,ian+1)-sum[ian])*cmnCoef;
141 0 : den+=cmnCoef*cmnCoef;
142 : }
143 0 : if(den!=0) fSumCMN[ian]+=num/den;
144 0 : }
145 :
146 0 : delete [] cmnEven;
147 0 : delete [] cmnOdd;
148 0 : }
149 : //______________________________________________________________________
150 : void AliITSOnlineSDDBase::GetMinAndMaxBaseline(Float_t &basMin, Float_t &basMax) const {
151 : // fills mininum and maximum baseline values
152 0 : basMin=1008.;
153 0 : basMax=0.;
154 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
155 0 : if(!fGoodAnode[ian]) continue;
156 0 : Float_t bas=GetAnodeBaseline(ian);
157 0 : if(bas>0 && bas < basMin) basMin=bas;
158 0 : if(bas>0 && bas > basMax) basMax=bas;
159 0 : }
160 0 : }
161 : //______________________________________________________________________
162 : Float_t AliITSOnlineSDDBase::GetMinimumBaseline() const {
163 : // returns anode with minum baseline value in hybrid
164 : Float_t basMin=1008.;
165 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
166 0 : if(!fGoodAnode[ian]) continue;
167 0 : Float_t bas=GetAnodeBaseline(ian);
168 0 : if(bas>0 && bas < basMin) basMin=bas;
169 0 : }
170 0 : return basMin;
171 : }
172 : //______________________________________________________________________
173 : Float_t AliITSOnlineSDDBase::CalcMeanRawNoise() const{
174 : // compute mean value of raw noise
175 : Float_t meanns=0.;
176 : Int_t cnt=0;
177 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
178 0 : if(!fGoodAnode[ian]) continue;
179 0 : meanns+=GetAnodeRawNoise(ian);
180 0 : cnt++;
181 0 : }
182 0 : if(cnt>0) meanns/=(Float_t)cnt;
183 0 : return meanns;
184 : }
185 : //______________________________________________________________________
186 : void AliITSOnlineSDDBase::WriteToASCII(){
187 : // writes parameters of each channel into an ASCII file
188 : // to be then read in the successive step for common mode noise
189 : // correction (AliITSOnlineSDDCMN)
190 :
191 0 : TString outfilnam;
192 0 : Float_t basMin,basMax;
193 0 : GetMinAndMaxBaseline(basMin,basMax);
194 0 : Float_t finalVal=basMin;
195 0 : if(basMin>fGoldenBaseline && basMax<fGoldenBaseline+fgkMaxCorr) finalVal=fGoldenBaseline;
196 0 : if(basMax<basMin+fgkMaxCorr && basMax>fGoldenBaseline+fgkMaxCorr) finalVal=basMax-fgkMaxCorr;
197 :
198 0 : Float_t avNoise=CalcMeanRawNoise();
199 0 : Int_t thrL=(Int_t)(finalVal+fLowThrFact*avNoise+0.5);
200 0 : Int_t thrH=(Int_t)(finalVal+fHighThrFact*avNoise+0.5);
201 0 : if(CountGoodAnodes()==0) thrH=255;
202 :
203 0 : outfilnam.Form("SDDbase_step1_ddl%02dc%02d_sid%d.data",fDDL,fCarlos,fSide);
204 0 : FILE* outf=fopen(outfilnam.Data(),"w");
205 0 : fprintf(outf,"%d\n",thrH);
206 0 : fprintf(outf,"%d\n",thrL);
207 : Float_t corrnoise=2.;
208 0 : for(Int_t ian=0;ian<fgkNAnodes;ian++){
209 0 : Float_t bas=GetAnodeBaseline(ian);
210 0 : Int_t corr=(Int_t)(bas-finalVal+0.5);
211 0 : if(corr>fgkMaxCorr) corr=fgkMaxCorr; // only 6 bits in jtag for correction
212 0 : if(corr<0) corr=0; // avoid negative numbers
213 0 : fprintf(outf,"%d %d %11.6f %d %d %11.6f %11.6f %11.6f\n",ian,IsAnodeGood(ian),GetAnodeBaseline(ian),(Int_t)finalVal,corr,GetAnodeRawNoise(ian),GetAnodeCommonMode(ian),corrnoise);
214 : }
215 0 : fclose(outf);
216 0 : }
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