fCorrelationLeading2Phi(0),
fCorrelationMultiplicity(0),
fYields(0),
+ fInvYield2(0),
fEventCount(0),
fEventCountDifferential(0),
fVertexContributors(0),
;
// combine customBinning with defaultBinningStr -> use customBinning where available and otherwise defaultBinningStr
- TString customBinning(binning);
- TString binningStr;
-
- TObjArray* lines = defaultBinningStr.Tokenize("\n");
- for (Int_t i=0; i<lines->GetEntriesFast(); i++)
- {
- TString line(lines->At(i)->GetName());
- TString tag = line(0, line.Index(":")+1);
- if (!customBinning.BeginsWith(tag) && !customBinning.Contains(TString("\n") + tag))
- binningStr += line + "\n";
- else
- Printf("Using custom binning for %s", tag.Data());
- }
- delete lines;
- binningStr += customBinning;
+ TString binningStr = AliUEHist::CombineBinning(defaultBinningStr, TString(binning));
if (histogramsStr.Contains("1"))
fNumberDensitypT = new AliUEHist("NumberDensitypT", binningStr);
fCorrelationLeading2Phi = new TH2F("fCorrelationLeading2Phi", ";#Delta #varphi;p_{T,lead} (MC)", 200, -TMath::Pi(), TMath::Pi(), 200, 0, 50);
fCorrelationMultiplicity = new TH2F("fCorrelationMultiplicity", ";MC tracks;Reco tracks", 100, -0.5, 99.5, 100, -0.5, 99.5);
fYields = new TH3F("fYields", ";centrality;pT;eta", 100, 0, 100, 40, 0, 20, 100, -1, 1);
+ fInvYield2 = new TH2F("fInvYield2", ";centrality;pT;1/pT dNch/dpT", 100, 0, 100, 80, 0, 20);
if (!histogramsStr.Contains("4") && !histogramsStr.Contains("5") && !histogramsStr.Contains("6"))
{
fCorrelationLeading2Phi(0),
fCorrelationMultiplicity(0),
fYields(0),
+ fInvYield2(0),
fEventCount(0),
fEventCountDifferential(0),
fVertexContributors(0),
fYields = 0;
}
+ if (fInvYield2)
+ {
+ delete fInvYield2;
+ fInvYield2 = 0;
+ }
+
if (fEventCount)
{
delete fEventCount;
effVars[3] = fEfficiencyCorrectionTriggers->GetAxis(3)->FindBin(vars[2]); //zVtx
useWeight *= fEfficiencyCorrectionTriggers->GetBinContent(effVars);
}
+
+ if (TMath::Abs(triggerEta) < 0.8 && triggerParticle->Pt() > 0)
+ fInvYield2->Fill(centrality, triggerParticle->Pt(), useWeight / triggerParticle->Pt());
+
if (fWeightPerEvent)
{
// leads effectively to a filling of one entry per filled trigger particle pT bin
fCorrelationEta->Fill(centrality, triggerEta);
fCorrelationPhi->Fill(centrality, triggerParticle->Phi());
fYields->Fill(centrality, triggerParticle->Pt(), triggerEta);
-
+
/* if (dynamic_cast<AliAODTrack*>(triggerParticle))
fITSClusterMap->Fill(((AliAODTrack*) triggerParticle)->GetITSClusterMap(), centrality, triggerParticle->Pt());*/
}
if (fYields)
target.fYields = dynamic_cast<TH3F*> (fYields->Clone());
+ if (fInvYield2)
+ target.fInvYield2 = dynamic_cast<TH2F*> (fInvYield2->Clone());
+
if (fEventCount)
target.fEventCount = dynamic_cast<TH2F*> (fEventCount->Clone());
TObject* obj;
// collections of objects
- const Int_t kMaxLists = 19;
+ const Int_t kMaxLists = 20;
TList* lists[kMaxLists];
for (Int_t i=0; i<kMaxLists; i++)
lists[16]->Add(entry->fCentralityCorrelation);
if (entry->fYields)
lists[17]->Add(entry->fYields);
+ if (entry->fInvYield2)
+ lists[18]->Add(entry->fInvYield2);
if (entry->fControlConvResoncances)
- lists[18]->Add(entry->fControlConvResoncances);
+ lists[19]->Add(entry->fControlConvResoncances);
fMergeCount += entry->fMergeCount;
fCentralityCorrelation->Merge(lists[16]);
if (fYields && lists[17]->GetEntries() > 0)
fYields->Merge(lists[17]);
- if (fControlConvResoncances && lists[18]->GetEntries() > 0)
- fControlConvResoncances->Merge(lists[18]);
+ if (fInvYield2 && lists[18]->GetEntries() > 0)
+ fInvYield2->Merge(lists[18]);
+ if (fControlConvResoncances && lists[19]->GetEntries() > 0)
+ fControlConvResoncances->Merge(lists[19]);
for (Int_t i=0; i<kMaxLists; i++)
delete lists[i];
list.Add(fCorrelationLeading2Phi);
list.Add(fCorrelationMultiplicity);
list.Add(fYields);
+ list.Add(fInvYield2);
list.Add(fEventCount);
list.Add(fEventCountDifferential);
list.Add(fVertexContributors);