fSkipTriggerClassSelection(0),
fUsingCustomClasses(0),
fSkipV0(0),
- fBIFactorA(1),
- fBIFactorC(1),
- fBIFactorAC(1),
+ fSkipZDCTime(0),
+ fBIFactorA(-1),
+ fBIFactorC(-1),
+ fBIFactorAC(-1),
fComputeBG(0),
fBGStatOffset(0),
fUseBXNumbers(1),
case kCMBS2C: hwTrig = fastORHWL1 > 1 && v0CHW; break;
case kCMBAC: hwTrig = v0AHW && v0CHW; break;
case kCMBACS2: hwTrig = fastORHWL1 > 1 && v0AHW && v0CHW; break;
- case kHighMultL1: hwTrig = fastORHW > 100; break;
+ case kHighMultL1: hwTrig = fastORHW >= 100; break;
default: AliFatal(Form("Undefined trigger logic %d", triggerLogic)); break;
}
if (iHistStat == kStatIdxBin0 && !isBin0) continue; // skip the filling of bin0 stats if the event is not in the bin0
fHistStatistics[iHistStat]->Fill(kStatTriggerClass, i);
+ if(iHistStat == kStatIdxAll) fHistBunchCrossing->Fill(aEsd->GetBunchCrossNumber(), i); // Fill only for all (avoid double counting)
// We fill the rest only if hw trigger is ok
if (!hwTrig)
// We reject the event if the ZDC timing cut is not respected
if (zdcTime)
fHistStatistics[iHistStat]->Fill(kStatZDCTime, i);
- else if (!fIsPP)
+ else if (!fIsPP && !fSkipZDCTime)
continue;
// if (fastOROffline > 1 && !v0BG)
// fHistStatistics[iHistStat]->Fill(kStatFO2NoBG, i);
case kCMBS2C: offlineAccepted = fastOROfflineL1 > 1 && v0C; break;
case kCMBAC: offlineAccepted = v0A && v0C; break;
case kCMBACS2: offlineAccepted = fastOROfflineL1 > 1 && v0A && v0C; break;
- case kHighMultL1: offlineAccepted = fastOROffline > 100; break;
+ case kHighMultL1: offlineAccepted = fastOROffline >= 100; break;
default: AliFatal(Form("Undefined trigger logic %d", triggerLogic)); break;
}
AliDebug(AliLog::kDebug, Form("Accepted event for histograms with trigger logic %d", triggerLogic));
fHistStatistics[iHistStat]->Fill(kStatAccepted, i);
- if(iHistStat == kStatIdxAll) fHistBunchCrossing->Fill(aEsd->GetBunchCrossNumber(), i); // Fill only for all (avoid double counting)
+ // if(iHistStat == kStatIdxAll) fHistBunchCrossing->Fill(aEsd->GetBunchCrossNumber(), i); // Fill only for all (avoid double counting)
if((i < fCollTrigClasses.GetEntries() || fSkipTriggerClassSelection) && (iHistStat==kStatIdxAll))
accept |= singleTriggerResult; // only set for "all" (should not really matter)
}
if (runNumber >= 136849 && runNumber < 138125) // HI old scheme
return 2;
+
+ if (runNumber >= 139328 && runNumber <= 139517) // late HI run 2010 (no TRD wake up)
+ return 3;
// defaults
return 1;
break;
+ case 3:
+ // Data Heavy-ion, late 2010 run (three out of three NO TRD)
+ fCollTrigClasses.Add(new TObjString(Form("+CMBACS2-B-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kMB, (Int_t) kCMBACS2)));
+ fBGTrigClasses.Add (new TObjString(Form("+CMBACS2-A-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kMB, (Int_t) kCMBACS2)));
+ fBGTrigClasses.Add (new TObjString(Form("+CMBACS2-C-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kMB, (Int_t) kCMBACS2)));
+ fBGTrigClasses.Add (new TObjString(Form("+CMBACS2-E-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kMB, (Int_t) kCMBACS2)));
+
+ fCollTrigClasses.Add(new TObjString(Form("+C0SMH-B-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kHighMult, (Int_t) kHighMultL1)));
+ fBGTrigClasses.Add (new TObjString(Form("+C0SMH-A-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kHighMult, (Int_t) kHighMultL1)));
+ fBGTrigClasses.Add (new TObjString(Form("+C0SMH-C-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kHighMult, (Int_t) kHighMultL1)));
+ fBGTrigClasses.Add (new TObjString(Form("+C0SMH-E-NOPF-ALLNOTRD &%u *%d", (UInt_t) AliVEvent::kHighMult, (Int_t) kHighMultL1)));
+
+ break;
+
+
default:
AliFatal(Form("Unsupported trigger scheme %d", triggerScheme));
}
Int_t count = fCollTrigClasses.GetEntries() + fBGTrigClasses.GetEntries();
#ifdef VERBOSE_STAT
- Int_t extrarows = fComputeBG != 0 ? 8 : 0;
+ Int_t extrarows = fComputeBG != 0 ? 11 : 0;
#else
- Int_t extrarows = fComputeBG != 0 ? 3 : 0;
+ Int_t extrarows = fComputeBG != 0 ? 6 : 0;
#endif
TH2F * h = new TH2F(Form("fHistStatistics%s",tag), Form("fHistStatistics - %s ;;",tag), kStatAccepted, 0.5, kStatAccepted+0.5, count+extrarows, -0.5, -0.5 + count+extrarows);
if(fComputeBG) {
fBGStatOffset = n;
+ h->GetYaxis()->SetBinLabel(n++, "All B");
+ h->GetYaxis()->SetBinLabel(n++, "All A+C");
+ h->GetYaxis()->SetBinLabel(n++, "All E");
h->GetYaxis()->SetBinLabel(n++, Form("BG (A+C) (Mask [0x%x])", fComputeBG));
h->GetYaxis()->SetBinLabel(n++, "ACC");
#ifdef VERBOSE_STAT
for (Int_t i=1; i<=fHistBunchCrossing->GetNbinsY(); i++)
{
TString str;
- str.Form("Trigger %s has accepted events in the bunch crossings: ", fHistBunchCrossing->GetYaxis()->GetBinLabel(i));
+ str.Form("Trigger %s has events in the bunch crossings: ", fHistBunchCrossing->GetYaxis()->GetBinLabel(i));
for (Int_t j=1; j<=fHistBunchCrossing->GetNbinsX(); j++)
if (fHistBunchCrossing->GetBinContent(j, i) > 0)
return count+1;
}
-void AliPhysicsSelection::SaveHistograms(const char* folder) const
+void AliPhysicsSelection::SaveHistograms(const char* folder)
{
// write histograms to current directory
// Fill the last rows of fHistStatistics before saving
- if (fComputeBG) {
- Int_t triggerScheme = GetTriggerScheme(UInt_t(fCurrentRun));
- if(triggerScheme != 1){
- AliWarning("BG estimate only supported for trigger scheme \"1\" (CINT1 suite)");
- } else if (fUseMuonTriggers) {
- AliWarning("BG estimate with muon triggers to be implemented");
- } else {
- AliInfo("BG estimate assumes that for a given run you only have A and C triggers separately or"
- " toghether as a AC class! Make sure this assumption holds in your case");
-
- // use an anum for the different trigger classes, to make loops easier to read
- enum {kClassB =0 , kClassA, kClassC, kClassAC, kClassE, kNClasses};
- const char * classFlags[] = {"B", "A", "C", "AC", "E"}; // labels
-
- UInt_t * rows[kNClasses] = {0}; // Array of matching rows
- Int_t nrows[kNClasses] = {0};
- // Get rows matching the requested trigger bits for all trigger classes
- for(Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
- nrows[iTrigClass] = GetStatRow(classFlags[iTrigClass],fComputeBG,&rows[iTrigClass]);
- }
-
- // 0. Determine the ratios of triggers E/B, A/B, C/B from the stat histogram
- // Those are used to rescale the different classes to the same number of bx ids
- // TODO: pass names of the rows for B, CA and E and look names of the rows. How do I handle the case in which both AC are in the same row?
- Int_t nBXIds[kNClasses] = {0};
- cout <<"Computing BG:" << endl;
-
- for(Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
- for(Int_t irow = 0; irow < nrows[iTrigClass]; irow++) {
- if(irow==0) cout << "- Class " << classFlags[iTrigClass] << endl;
- for (Int_t j=1; j<=fHistBunchCrossing->GetNbinsX(); j++) {
- if (fHistBunchCrossing->GetBinContent(j, rows[iTrigClass][irow]) > 0) {
- nBXIds[iTrigClass]++;
- }
+ if (fComputeBG) {
+ AliInfo("BG estimate assumes that for a given run you only have A and C triggers separately or"
+ " toghether as a AC class! Make sure this assumption holds in your case");
+
+ // use an anum for the different trigger classes, to make loops easier to read
+ enum {kClassB =0 , kClassA, kClassC, kClassAC, kClassE, kNClasses};
+ const char * classFlags[] = {"B", "A", "C", "AC", "E"}; // labels
+
+ UInt_t * rows[kNClasses] = {0}; // Array of matching rows
+ Int_t nrows[kNClasses] = {0};
+ // Get rows matching the requested trigger bits for all trigger classes
+ for(Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
+ nrows[iTrigClass] = GetStatRow(classFlags[iTrigClass],fComputeBG,&rows[iTrigClass]);
+ }
+
+ // 0. Determine the ratios of triggers E/B, A/B, C/B from the stat histogram
+ // Those are used to rescale the different classes to the same number of bx ids
+ // TODO: pass names of the rows for B, CA and E and look names of the rows. How do I handle the case in which both AC are in the same row?
+ Int_t nBXIds[kNClasses] = {0};
+ // cout <<"Computing BG:" << endl;
+
+ for(Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
+ for(Int_t irow = 0; irow < nrows[iTrigClass]; irow++) {
+ if(irow==0) cout << "- Class " << classFlags[iTrigClass] << endl;
+ for (Int_t j=1; j<=fHistBunchCrossing->GetNbinsX(); j++) {
+ if (fHistBunchCrossing->GetBinContent(j, rows[iTrigClass][irow]) > 0) {
+ nBXIds[iTrigClass]++;
}
- if(nBXIds[iTrigClass]>0) cout << " Using row " << rows[iTrigClass][irow] << ": "
- << fHistBunchCrossing->GetYaxis()->GetBinLabel(rows[iTrigClass][irow])
- << " (nBXID "<< nBXIds[iTrigClass] << ")"<< endl;
-
}
+ if(nBXIds[iTrigClass]>0) cout << " Using row " << rows[iTrigClass][irow] << ": "
+ << fHistBunchCrossing->GetYaxis()->GetBinLabel(rows[iTrigClass][irow])
+ << " (nBXID "<< nBXIds[iTrigClass] << ")"<< endl;
}
- Float_t ratioToB[kNClasses];
- ratioToB[kClassE] = nBXIds[kClassE] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassE] : 0;
- ratioToB[kClassA] = nBXIds[kClassA] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassA] : 0;
- ratioToB[kClassC] = nBXIds[kClassC] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassC] : 0;
- ratioToB[kClassAC] = nBXIds[kClassAC] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassAC] : 0;
- Printf("Ratio between the BX ids in the different trigger classes:");
- Printf(" B/E = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassE], ratioToB[kClassE] );
- Printf(" B/A = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassA], ratioToB[kClassA] );
- Printf(" B/C = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassC], ratioToB[kClassC] );
- Printf(" B/AC = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassAC],ratioToB[kClassAC]);
- Int_t nHistStat = 2;
-
- // 1. loop over all cols
- for(Int_t iHistStat = 0; iHistStat < nHistStat; iHistStat++){
- Int_t ncol = fHistStatistics[iHistStat]->GetNbinsX();
- Float_t good1 = 0;
- for(Int_t icol = 1; icol <= ncol; icol++) {
- Int_t nEvents[kNClasses] = {0}; // number of events should be reset at every column
- // For all trigger classes, add up over row matching trigger mask (as selected before)
- for(Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
- for(Int_t irow = 0; irow < nrows[iTrigClass]; irow++) {
- nEvents[iTrigClass] += (Int_t) fHistStatistics[iHistStat]->GetBinContent(icol,rows[iTrigClass][irow]);
- }
- // cout << "Events " << classFlags[iTrigClass] << " ("<<icol<<") " << nEvents[iTrigClass] << endl;
+ }
+
+ Float_t ratioToB[kNClasses];
+ ratioToB[kClassE] = nBXIds[kClassE] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassE] : 0;
+ ratioToB[kClassA] = nBXIds[kClassA] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassA] : 0;
+ ratioToB[kClassC] = nBXIds[kClassC] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassC] : 0;
+ ratioToB[kClassAC] = nBXIds[kClassAC] >0 ? Float_t(nBXIds[kClassB])/nBXIds[kClassAC] : 0;
+ Printf("Ratio between the BX ids in the different trigger classes:");
+ Printf(" B/E = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassE], ratioToB[kClassE] );
+ Printf(" B/A = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassA], ratioToB[kClassA] );
+ Printf(" B/C = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassC], ratioToB[kClassC] );
+ Printf(" B/AC = %d/%d = %f", nBXIds[kClassB],nBXIds[kClassAC],ratioToB[kClassAC]);
+ Int_t nHistStat = 2;
+
+ // 1. loop over all cols
+ for(Int_t iHistStat = 0; iHistStat < nHistStat; iHistStat++){
+ Int_t ncol = fHistStatistics[iHistStat]->GetNbinsX();
+ Float_t good1 = 0;
+ for(Int_t icol = 1; icol <= ncol; icol++) {
+ Int_t nEvents[kNClasses] = {0}; // number of events should be reset at every column
+ // For all trigger classes, add up over row matching trigger mask (as selected before)
+ for(Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
+ for(Int_t irow = 0; irow < nrows[iTrigClass]; irow++) {
+ nEvents[iTrigClass] += (Int_t) fHistStatistics[iHistStat]->GetBinContent(icol,rows[iTrigClass][irow]);
}
- if (nEvents[kClassB]>0) {
- Float_t acc = ratioToB[kClassE]*nEvents[kClassE];
- Double_t acc_err = TMath::Sqrt(ratioToB[kClassE]*ratioToB[kClassE]*nEvents[kClassE]);
- // Int_t bg = cint1A + cint1C - 2*acc;
+ // cout << "Events " << classFlags[iTrigClass] << " ("<<icol<<") " << nEvents[iTrigClass] << endl;
+ }
+ if (nEvents[kClassB]>0) {
+ Float_t acc = ratioToB[kClassE]*nEvents[kClassE];
+ Double_t acc_err = TMath::Sqrt(ratioToB[kClassE]*ratioToB[kClassE]*nEvents[kClassE]);
+ // Int_t bg = cint1A + cint1C - 2*acc;
- // Assuming that for a given class the triggers are either recorded as A+C or AC
- Float_t bg = nEvents[kClassAC] > 0 ?
- fBIFactorAC*(ratioToB[kClassAC]*nEvents[kClassAC] - 2*acc):
- fBIFactorA* (ratioToB[kClassA]*nEvents[kClassA]-acc) +
- fBIFactorC* (ratioToB[kClassC]*nEvents[kClassC]-acc) ;
-
- // cout << "-----------------------" << endl;
- // cout << "Factors: " << fBIFactorA << " " << fBIFactorC << " " << fBIFactorAC << endl;
- // cout << "Ratios: " << ratioToB[kClassA] << " " << ratioToB[kClassC] << " " << ratioToB[kClassAC] << endl;
- // cout << "Evts: " << nEvents[kClassA] << " " << nEvents[kClassC] << " " << nEvents[kClassAC] << " " << nEvents[kClassB] << endl;
- // cout << "Acc: " << acc << endl;
- // cout << "BG: " << bg << endl;
- // cout << " " << fBIFactorA* (ratioToB[kClassA]*nEvents[kClassA]-acc) <<endl;
- // cout << " " << fBIFactorC* (ratioToB[kClassC]*nEvents[kClassC]-acc) <<endl;
- // cout << " " << fBIFactorAC*(ratioToB[kClassAC]*nEvents[kClassAC] - 2*acc) << endl;
- // cout << "-----------------------" << endl;
-
- Float_t good = Float_t(nEvents[kClassB]) - bg - acc;
- if (icol ==1) good1 = good;
- // Float_t errGood = TMath::Sqrt(2*(nEvents[kClassA]+nEvents[kClassC]+nEvents[kClassE]));// Error on the number of goods assuming only bg fluctuates
- // DeltaG^2 = B + FA^2 A + FC^2 C + Ratio^2 (FA+FC-1)^2 E.
- Float_t errGood = nEvents[kClassAC] > 0 ?
- TMath::Sqrt( nEvents[kClassB] +
- fBIFactorAC*fBIFactorAC*ratioToB[kClassAC]*ratioToB[kClassAC]*nEvents[kClassAC] +
- ratioToB[kClassE] * ratioToB[kClassE] *
- (fBIFactorAC - 1)*(fBIFactorAC - 1)*nEvents[kClassE]) :
- TMath::Sqrt( nEvents[kClassB] +
- fBIFactorA*fBIFactorA*ratioToB[kClassA]*ratioToB[kClassA]*nEvents[kClassA] +
- fBIFactorC*fBIFactorC*ratioToB[kClassC]*ratioToB[kClassC]*nEvents[kClassC] +
- ratioToB[kClassE] * ratioToB[kClassE] *
- (fBIFactorA + fBIFactorC - 1)*(fBIFactorA + fBIFactorC - 1)*nEvents[kClassE]);
-
- Float_t errBG = nEvents[kClassAC] > 0 ?
- TMath::Sqrt(fBIFactorAC*fBIFactorAC*ratioToB[kClassAC]*ratioToB[kClassAC]*nEvents[kClassAC]+
- 4*ratioToB[kClassE]*ratioToB[kClassE]*(fBIFactorAC*fBIFactorAC)*nEvents[kClassE]) :
- TMath::Sqrt(fBIFactorA*fBIFactorA*ratioToB[kClassA]*ratioToB[kClassA]*nEvents[kClassA]+
- fBIFactorC*fBIFactorC*ratioToB[kClassC]*ratioToB[kClassC]*nEvents[kClassC]+
- ratioToB[kClassE]*ratioToB[kClassE]*(fBIFactorA+fBIFactorC)*(fBIFactorA+fBIFactorC)*nEvents[kClassE]);
+ // If intensity measurements are available, they already
+ // contain the scaling for BX ratios, so we reset the
+ // ratioToB entries
+ if(fBIFactorAC > 0 || fBIFactorA > 0 || fBIFactorC > 0) {
+ if (fBIFactorAC <= 0 || fBIFactorA <= 0 || fBIFactorC <= 0) {
+ AliError("Not all intensities set!, assuming equal intensities");
+ fBIFactorA = 1;
+ fBIFactorC = 1;
+ fBIFactorAC = 1;
+ } else {
+ AliInfo("Using ratio of number of bunch crossing embedded in the intensity measurements");
+ ratioToB[kClassA] = ratioToB[kClassA] >0 ? 1 : 0;
+ ratioToB[kClassC] = ratioToB[kClassC] >0 ? 1 : 0;
+ ratioToB[kClassAC] = ratioToB[kClassAC] >0 ? 1 : 0;
+ }
+ } else {
+ AliWarning("Intensities not set!, assuming equal intensities");
+ fBIFactorA = 1;
+ fBIFactorC = 1;
+ fBIFactorAC = 1;
+ }
+
+ // Assuming that for a given class the triggers are either recorded as A+C or AC
+ Float_t bg = nEvents[kClassAC] > 0 ?
+ fBIFactorAC*(ratioToB[kClassAC]*nEvents[kClassAC] - 2*acc):
+ fBIFactorA* (ratioToB[kClassA]*nEvents[kClassA]-acc) +
+ fBIFactorC* (ratioToB[kClassC]*nEvents[kClassC]-acc) ;
+
+ // cout << "-----------------------" << endl;
+ // cout << "Factors: " << fBIFactorA << " " << fBIFactorC << " " << fBIFactorAC << endl;
+ // cout << "Ratios: " << ratioToB[kClassA] << " " << ratioToB[kClassC] << " " << ratioToB[kClassAC] << endl;
+ // cout << "Evts: " << nEvents[kClassA] << " " << nEvents[kClassC] << " " << nEvents[kClassAC] << " " << nEvents[kClassB] << endl;
+ // cout << "Acc: " << acc << endl;
+ // cout << "BG: " << bg << endl;
+ // cout << " " << fBIFactorA* (ratioToB[kClassA]*nEvents[kClassA]-acc) <<endl;
+ // cout << " " << fBIFactorC* (ratioToB[kClassC]*nEvents[kClassC]-acc) <<endl;
+ // cout << " " << fBIFactorAC*(ratioToB[kClassAC]*nEvents[kClassAC] - 2*acc) << endl;
+ // cout << "-----------------------" << endl;
+
+ Float_t good = Float_t(nEvents[kClassB]) - bg - acc;
+ if (icol ==1) good1 = good;
+ // Float_t errGood = TMath::Sqrt(2*(nEvents[kClassA]+nEvents[kClassC]+nEvents[kClassE]));// Error on the number of goods assuming only bg fluctuates
+ // DeltaG^2 = B + FA^2 A + FC^2 C + Ratio^2 (FA+FC-1)^2 E.
+ Float_t errGood = nEvents[kClassAC] > 0 ?
+ TMath::Sqrt( nEvents[kClassB] +
+ fBIFactorAC*fBIFactorAC*ratioToB[kClassAC]*ratioToB[kClassAC]*nEvents[kClassAC] +
+ ratioToB[kClassE] * ratioToB[kClassE] *
+ (fBIFactorAC - 1)*(fBIFactorAC - 1)*nEvents[kClassE]) :
+ TMath::Sqrt( nEvents[kClassB] +
+ fBIFactorA*fBIFactorA*ratioToB[kClassA]*ratioToB[kClassA]*nEvents[kClassA] +
+ fBIFactorC*fBIFactorC*ratioToB[kClassC]*ratioToB[kClassC]*nEvents[kClassC] +
+ ratioToB[kClassE] * ratioToB[kClassE] *
+ (fBIFactorA + fBIFactorC - 1)*(fBIFactorA + fBIFactorC - 1)*nEvents[kClassE]);
+
+ Float_t errBG = nEvents[kClassAC] > 0 ?
+ TMath::Sqrt(fBIFactorAC*fBIFactorAC*ratioToB[kClassAC]*ratioToB[kClassAC]*nEvents[kClassAC]+
+ 4*ratioToB[kClassE]*ratioToB[kClassE]*(fBIFactorAC*fBIFactorAC)*nEvents[kClassE]) :
+ TMath::Sqrt(fBIFactorA*fBIFactorA*ratioToB[kClassA]*ratioToB[kClassA]*nEvents[kClassA]+
+ fBIFactorC*fBIFactorC*ratioToB[kClassC]*ratioToB[kClassC]*nEvents[kClassC]+
+ ratioToB[kClassE]*ratioToB[kClassE]*(fBIFactorA+fBIFactorC)*(fBIFactorA+fBIFactorC)*nEvents[kClassE]);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowBG,bg);
- fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowBG,errBG);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAcc,acc);
- fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowAcc,acc_err);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowGood,good);
- fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowGood,errGood);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAllB, nEvents[kClassB]);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAllAC,nEvents[kClassA]+nEvents[kClassC]+nEvents[kClassAC]);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAllE, nEvents[kClassE]);
+
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowBG,bg);
+ fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowBG,errBG);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAcc,acc);
+ fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowAcc,acc_err);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowGood,good);
+ fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowGood,errGood);
#ifdef VERBOSE_STAT
- //kStatRowBG=0,kStatRowAcc,kStatRowBGFrac,kStatRowAccFrac,kStatRowErrGoodFrac,kStatRowGoodFrac,kStatRowGood,kStatRowErrGood
- Float_t accFrac = Float_t(acc) / nEvents[kClassB] *100;
- Float_t errAccFrac= Float_t(acc_err) / nEvents[kClassB] *100;
- Float_t bgFrac = Float_t(bg) / nEvents[kClassB] *100;
- Float_t goodFrac = Float_t(good) / good1 *100;
- Float_t errGoodFrac = errGood/good1 * 100;
- Float_t errFracBG = bg > 0 ? TMath::Sqrt((errBG/bg)*(errBG/bg) + 1/nEvents[kClassB])*bgFrac : 0;
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowBGFrac,bgFrac);
- fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowBGFrac,errFracBG);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAccFrac,accFrac);
- fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowAccFrac,errAccFrac);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowGoodFrac,goodFrac);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowErrGoodFrac,errGoodFrac);
- fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowErrGood,errGood);
+ //kStatRowBG=0,kStatRowAcc,kStatRowBGFrac,kStatRowAccFrac,kStatRowErrGoodFrac,kStatRowGoodFrac,kStatRowGood,kStatRowErrGood
+ Float_t accFrac = Float_t(acc) / nEvents[kClassB] *100;
+ Float_t errAccFrac= Float_t(acc_err) / nEvents[kClassB] *100;
+ Float_t bgFrac = Float_t(bg) / nEvents[kClassB] *100;
+ Float_t goodFrac = Float_t(good) / good1 *100;
+ Float_t errGoodFrac = errGood/good1 * 100;
+ Float_t errFracBG = bg > 0 ? TMath::Sqrt((errBG/bg)*(errBG/bg) + 1/nEvents[kClassB])*bgFrac : 0;
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowBGFrac,bgFrac);
+ fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowBGFrac,errFracBG);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowAccFrac,accFrac);
+ fHistStatistics[iHistStat]->SetBinError (icol,fBGStatOffset+kStatRowAccFrac,errAccFrac);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowGoodFrac,goodFrac);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowErrGoodFrac,errGoodFrac);
+ fHistStatistics[iHistStat]->SetBinContent(icol,fBGStatOffset+kStatRowErrGood,errGood);
#endif
- }
}
}
- for (Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
- delete [] rows[iTrigClass];
- }
+ }
+ for (Int_t iTrigClass = 0; iTrigClass < kNClasses; iTrigClass++){
+ delete [] rows[iTrigClass];
}
- }
+ }
fHistStatistics[0]->Write();
fHistStatistics[1]->Write();
Int_t count = fCollTrigClasses.GetEntries() + fBGTrigClasses.GetEntries();
for (Int_t i=0; i < count; i++)
- {
- TString triggerClass = "trigger_histograms_";
- if (i < fCollTrigClasses.GetEntries())
- triggerClass += ((TObjString*) fCollTrigClasses.At(i))->String();
- else
- triggerClass += ((TObjString*) fBGTrigClasses.At(i - fCollTrigClasses.GetEntries()))->String();
-
- gDirectory->mkdir(triggerClass);
- gDirectory->cd(triggerClass);
+ {
+ TString triggerClass = "trigger_histograms_";
+ if (i < fCollTrigClasses.GetEntries())
+ triggerClass += ((TObjString*) fCollTrigClasses.At(i))->String();
+ else
+ triggerClass += ((TObjString*) fBGTrigClasses.At(i - fCollTrigClasses.GetEntries()))->String();
+
+ gDirectory->mkdir(triggerClass);
+ gDirectory->cd(triggerClass);
+
+ static_cast<AliTriggerAnalysis*> (fTriggerAnalysis.At(i))->SaveHistograms();
+
+ gDirectory->cd("..");
+ }
- static_cast<AliTriggerAnalysis*> (fTriggerAnalysis.At(i))->SaveHistograms();
-
- gDirectory->cd("..");
- }
-
if (fBackgroundIdentification)
- {
- gDirectory->mkdir("background_identification");
- gDirectory->cd("background_identification");
+ {
+ gDirectory->mkdir("background_identification");
+ gDirectory->cd("background_identification");
- fBackgroundIdentification->GetOutput()->Write();
+ fBackgroundIdentification->GetOutput()->Write();
- gDirectory->cd("..");
- }
+ gDirectory->cd("..");
+ }
if (folder)
gDirectory->cd("..");
// a - and then any char (".*") and at the class id ("\\&(\\d)")
// The class id is stored.
// WARNING: please check this if the trigger classes change
- TPRegexp re(Form("\\+\\b[^-]*-?%s-.*\\&(\\d)",triggerBXClass));
+ // FIXME: change comment above
+ TPRegexp re1(Form("\\+\\b[^-]*-?%s-.*\\&(\\d)",triggerBXClass)); // If the class is with BPTX coincidence
+ TPRegexp re2(Form("\\+\\b[^-]+-%s-.*\\&(\\d)",triggerBXClass)); // If the class is with BX filtering online
// Loop over rows and find matching ones:
for(Int_t irow = 1; irow <= nrows; irow++){
- TObjArray * matches = re.MatchS(fHistStatistics[0]->GetYaxis()->GetBinLabel(irow));
- if (matches->GetEntries()) {
+ TString triggerClassCurrent = fHistStatistics[0]->GetYaxis()->GetBinLabel(irow);
+ TObjArray * matches = 0;
+ if (triggerClassCurrent.Contains ("ABCE")) matches = re1.MatchS(triggerClassCurrent);
+ else matches = re2.MatchS(triggerClassCurrent);
+ if (matches->GetEntries() && (fIsPP || (!fIsPP&&triggerClassCurrent.Contains("CMBAC")))) {
TString s = ((TObjString*)matches->At(1))->GetString();
if(UInt_t(s.Atoi()) & offlineTriggerType) { // bitwise comparison with the requested mask
// cout << "Marching " << s.Data() << " " << offlineTriggerType << " " << fHistStatistics[0]->GetYaxis()->GetBinLabel(irow) << endl;
if (intAB > -1 && intAA > -1) {
fBIFactorA = intAB/intAA;
} else {
- AliWarning("Cannot set fBIFactorA, assuming 1");
+ AliWarning("Cannot set fBIFactorA");
}
if (intCB > -1 && intCC > -1) {
fBIFactorC = intCB/intCC;
} else {
- AliWarning("Cannot set fBIFactorC, assuming 1");
+ AliWarning("Cannot set fBIFactorC");
}
if (intAB > -1 && intAA > -1 &&
intCB > -1 && intCC > -1) {
fBIFactorAC = (intAB+intCB)/(intAA+intCC);
} else {
- AliWarning("Cannot set fBIFactorAC, assuming 1");
+ AliWarning("Cannot set fBIFactorAC");
}
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff