-Index: correct.C
-===================================================================
---- correct.C (revision 64235)
-+++ correct.C (working copy)
-@@ -7667,6 +7667,14 @@
- Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 8.0, 15.0, 20.0 };
- Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
- }
-+ else if (1)
-+ {
-+ //Example for the Hadrons_Example wagon
-+ maxLeadingPt = 3;
-+ maxAssocPt = 6;
-+ Float_t leadingPtArr[] = { 3.0, 5.0, 8.0, 16.0 };
-+ Float_t assocPtArr[] = {0.15, 0.3, 50.0, 0.5, 50.0, 1.0, 50.0 };
-+ }
- else if (0)
- {
- //pA, trigger from all pT
-@@ -7861,7 +7869,7 @@
- for (Int_t i=0; i<maxLeadingPt; i++)
- for (Int_t j=1; j<maxAssocPt; j++)
- {
-- if(1){
-+ if(0){
- if(j!=(i+1))continue;
- Printf("\nOnly symmetric pt bins selected, leading pt: %f - %f associated pt: %f - %f",leadingPtArr[i],leadingPtArr[i+leadingPtOffset],assocPtArr[j],assocPtArr[j+1]);
- }
-@@ -7869,6 +7877,8 @@
- gpTMin = assocPtArr[j] + 0.01;
- gpTMax = assocPtArr[j+1] - 0.01;
-
-+ if(gpTMin >= gpTMax)continue;
-+
- SetupRanges(h);
- SetupRanges(hMixed);
- SetupRanges(h2);
-@@ -7877,7 +7887,7 @@
- SetupRanges(hMixed3);
- // SetupRanges(hMixed3);
-
-- if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
-+ if(0)if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
- continue;
-
- TH1* hist1 = 0;
-@@ -7943,6 +7953,12 @@
- }
- else if (1)
- {
-+ // pp, MB
-+ Int_t step = 8;
-+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE, kTRUE);
-+ }
-+ else if (0)
-+ {
- // pp
- Int_t step = 8;
-
+Float_t gpTMin = 0.51;
+Float_t gpTMax = 49.99;
+Int_t gUEHist = 0;
+Bool_t gCache = 0;
+void* gFirst = 0;
+void* gSecond = 0;
+Float_t gForceRange = -1;
+Int_t gEnergy = 900;
+Int_t gRegion = 0;
+const char* gText = "";
+TString Sign[]={"Plus","Minus"};
+enum ECharge_t {
+ kPositive,
+ kNegative,
+ kNCharges
+};
+
+void SetRanges(TAxis* axis)
+{
+ if (strcmp(axis->GetTitle(), "leading p_{T} (GeV/c)") == 0)
+ axis->SetRangeUser(0, (gEnergy == 900) ? 10 : 25);
+
+ if (strcmp(axis->GetTitle(), "multiplicity") == 0)
+ axis->SetRangeUser(0, 10);
+}
+
+void SetRanges(TH1* hist)
+{
+ SetRanges(hist->GetXaxis());
+ SetRanges(hist->GetYaxis());
+ SetRanges(hist->GetZaxis());
+}
+
+void Prepare1DPlot(TH1* hist)
+{
+ if (!hist)
+ return;
+
+ hist->SetLineWidth(2);
+ hist->SetStats(kFALSE);
+
+ hist->GetXaxis()->SetLabelOffset(0.02);
+ hist->GetXaxis()->SetTitleOffset(1.3);
+ hist->GetYaxis()->SetTitleOffset(1.3);
+
+ SetRanges(hist);
+}
+
+TH1* GetSystematicUncertainty(TH1* corr, TH1* trackHist)
+{
+ if (!trackHist)
+ {
+ systError = (TH1*) corr->Clone("systError");
+ systError->Reset();
+ }
+ else // for dphi evaluation
+ systError = new TH1F("systError", "", 100, 0, 50);
+
+ Float_t constantUnc = 0;
+
+ // particle composition
+ constantUnc += 0.8 ** 2;
+
+ // tpc efficiency
+ if (gEnergy == 900 && gpTMin < 1.0)
+ constantUnc += 1.0 ** 2;
+ else if (gEnergy == 900 && gpTMin < 1.5)
+ constantUnc += 0.5 ** 2;
+ if (gEnergy == 7000 && gpTMin < 1.0)
+ constantUnc += 1.0 ** 2;
+ else if (gEnergy == 7000 && gpTMin < 1.5)
+ constantUnc += 0.6 ** 2;
+
+ // track cuts
+ if (gEnergy == 900 && gpTMin < 1.0)
+ constantUnc += 2.5 ** 2;
+ else if (gEnergy == 900 && gpTMin < 1.5)
+ constantUnc += 2.0 ** 2;
+ if (gEnergy == 7000)
+ constantUnc += 3.0 ** 2;
+
+ // difference corrected with pythia and phojet
+ if (gEnergy == 900 && gpTMin < 1.0)
+ constantUnc += 0.6 ** 2;
+ else if (gEnergy == 900 && gpTMin < 1.5)
+ constantUnc += 0.8 ** 2;
+
+ if (gEnergy == 7000 && gpTMin < 1.0)
+ {
+ if (gUEHist == 0)
+ constantUnc += 0.6 ** 2;
+ if (gUEHist == 1)
+ constantUnc += 0.8 ** 2;
+ if (gUEHist == 2)
+ constantUnc += 1.0 ** 2;
+ }
+ else if (gEnergy == 7000 && gpTMin < 1.5)
+ constantUnc += 1.0 ** 2;
+
+ for (Int_t bin=1; bin<=systError->GetNbinsX(); bin++)
+ systError->SetBinContent(bin, constantUnc);
+
+ // mis id bias
+ if (gUEHist == 0 || gUEHist == 2)
+ systError->Fill(0.75, 4.0 ** 2);
+ if (gUEHist == 1)
+ systError->Fill(0.75, 5.0 ** 2);
+
+ if (gEnergy == 900)
+ {
+ if (gpTMin < 1.0)
+ systError->Fill(1.25, 1.0 ** 2);
+ else if (gpTMin < 1.5)
+ systError->Fill(1.25, 2.0 ** 2);
+ }
+
+ // non-closure in MC
+ if (gEnergy == 900)
+ for (Int_t bin=1; bin<=systError->GetNbinsX(); bin++)
+ systError->Fill(systError->GetXaxis()->GetBinCenter(bin), 1.0 ** 2);
+
+ if (gEnergy == 7000)
+ {
+ if (gUEHist == 0 && gUEHist == 1)
+ systError->Fill(0.75, 2.0 ** 2);
+ if (gUEHist == 2)
+ systError->Fill(0.75, 1.2 ** 2);
+ }
+
+ // vertex efficiency
+ systError->Fill(0.75, 1.0 ** 2);
+
+ // strangeness
+ for (Int_t bin=1; bin<=systError->GetNbinsX(); bin++)
+ {
+ if (gEnergy == 900)
+ systError->Fill(systError->GetXaxis()->GetBinCenter(bin), 0.5 ** 2);
+ if (gEnergy == 7000 && systError->GetXaxis()->GetBinCenter(bin) < 1.5)
+ systError->Fill(systError->GetXaxis()->GetBinCenter(bin), 2.0 ** 2);
+ else if (gEnergy == 7000)
+ systError->Fill(systError->GetXaxis()->GetBinCenter(bin), 1.0 ** 2);
+ }
+
+ for (Int_t bin=1; bin<=systError->GetNbinsX(); bin++)
+ systError->SetBinContent(bin, TMath::Sqrt(systError->GetBinContent(bin)));
+
+ if (trackHist)
+ {
+ //new TCanvas; trackHist->Draw();
+ //new TCanvas; systError->DrawCopy("");
+
+ Float_t uncFlat = 0;
+ for (Int_t i=1; i<=trackHist->GetNbinsX(); i++)
+ uncFlat += trackHist->GetBinContent(i) * systError->GetBinContent(systError->FindBin(trackHist->GetBinCenter(i)));
+ if (trackHist->Integral() > 0)
+ uncFlat /= trackHist->Integral();
+
+ systError = (TH1F*) corr->Clone("systError");
+ systError->Reset();
+
+ for (Int_t i=1; i<=systError->GetNbinsX(); i++)
+ systError->SetBinContent(i, uncFlat);
+
+ //new TCanvas; systError->DrawCopy("");
+ }
+
+ systError->SetFillColor(kGray);
+ systError->SetFillStyle(1001);
+ systError->SetMarkerStyle(0);
+ systError->SetLineColor(0);
+
+ return systError;
+}
+
+void DrawRatio(TH1* corr, TH1* mc, const char* name, TH1* syst = 0)
+{
+ mc->SetLineColor(2);
+
+ TCanvas* canvas3 = new TCanvas(name, name, 600, 600);
+ canvas3->Range(0, 0, 1, 1);
+
+ TPad* pad1 = new TPad(Form("%s_1", name), "", 0, 0.5, 0.98, 0.98);
+ pad1->Draw();
+
+ TPad* pad2 = new TPad(Form("%s_2", name), "", 0, 0.02, 0.98, 0.5);
+ pad2->Draw();
+
+ pad1->SetRightMargin(0.01);
+ pad2->SetRightMargin(0.01);
+ pad1->SetTopMargin(0.05);
+ pad1->SetLeftMargin(0.13);
+ pad2->SetLeftMargin(0.13);
+ pad2->SetBottomMargin(0.22);
+
+ // no border between them
+ pad1->SetBottomMargin(0);
+ pad2->SetTopMargin(0);
+
+ pad1->cd();
+ pad1->SetGridx();
+ pad1->SetGridy();
+
+ if (gUEHist != 2)
+ TLegend* legend = new TLegend(0.15, 0.65, 0.55, 0.90);
+ else
+ TLegend* legend = new TLegend(0.55, 0.65, 0.95, 0.90);
+
+ legend->SetFillColor(0);
+ legend->AddEntry(corr, "Corrected");
+ legend->AddEntry(mc, "MC prediction");
+ legend->SetTextSize(0.08);
+
+ Prepare1DPlot(corr);
+
+ TH2F* dummy = new TH2F("dummy", "", 100, corr->GetXaxis()->GetBinLowEdge(1), corr->GetXaxis()->GetBinUpEdge(corr->GetNbinsX()), 1000, 0, TMath::Max(corr->GetMaximum(), mc->GetMaximum()) * 1.1);
+ dummy->SetYTitle(corr->GetYaxis()->GetTitle());
+
+ //dummy = new TH2F("dummy", "", 100, corr->GetXaxis()->GetBinLowEdge(1), corr->GetXaxis()->GetBinUpEdge(corr->GetNbinsX()), 1000, 13.5, 20.5);
+ //dummy->SetYTitle("1/N_{trig} dN/d#Delta#phi");
+
+ dummy->SetStats(kFALSE);
+ dummy->SetXTitle(corr->GetXaxis()->GetTitle());
+ dummy->GetYaxis()->SetTitleOffset(1);
+ Prepare1DPlot(dummy);
+
+ dummy->GetXaxis()->SetLabelSize(0.08);
+ dummy->GetYaxis()->SetLabelSize(0.08);
+ dummy->GetXaxis()->SetTitleSize(0.08);
+ dummy->GetYaxis()->SetTitleSize(0.08);
+ dummy->GetYaxis()->SetTitleOffset(0.8);
+
+ if (gForceRange > 0)
+ dummy->GetYaxis()->SetRangeUser(0, gForceRange);
+
+ dummy->DrawCopy();
+
+ if (0 && gUEHist != 2)
+ {
+ const char* regionStr[] = { "Toward Region", "Away Region", "Transverse Region" };
+ latex = new TLatex(0.65, 0.1, regionStr[gRegion]);
+ latex->SetTextSize(0.075);
+ latex->SetNDC();
+ latex->Draw();
+ }
+
+ if (syst)
+ {
+ systError = (TH1*) syst->Clone("corrSystError");
+ for (Int_t bin=1; bin<=systError->GetNbinsX(); bin++)
+ {
+ systError->SetBinError(bin, corr->GetBinContent(bin) * syst->GetBinContent(bin) / 100);
+ systError->SetBinContent(bin, corr->GetBinContent(bin));
+ }
+
+ systError->Draw("E2 ][ SAME");
+ }
+
+ corr->Draw("SAME");
+ mc->Draw("SAME");
+
+ if (strlen(gText) > 0)
+ {
+ latex = new TLatex(0.2, 0.2, gText);
+ latex->SetNDC();
+ latex->SetTextSize(0.06);
+ latex->Draw();
+ }
+
+ //legend->Draw();
+
+ pad2->cd();
+ //pad2->SetBottomMargin(0.15);
+ //pad2->SetGridx();
+ //pad2->SetGridy();
+
+ TH1* ratio = (TH1*) mc->Clone("ratio");
+ ratio->Divide(corr);
+
+ Float_t minR = TMath::Min(0.91, ratio->GetMinimum() * 0.95);
+ Float_t maxR = TMath::Max(1.09, ratio->GetMaximum() * 1.05);
+
+ minR = 0.8;
+ maxR = 1.2;
+
+ TH1F dummy3("dummy3", ";;Ratio: MC / corr", 100, corr->GetXaxis()->GetBinLowEdge(1), corr->GetXaxis()->GetBinUpEdge(corr->GetNbinsX()));
+ dummy3.SetXTitle(corr->GetXaxis()->GetTitle());
+ Prepare1DPlot(&dummy3);
+ dummy3.SetStats(kFALSE);
+ for (Int_t i=1; i<=100; ++i)
+ dummy3.SetBinContent(i, 1);
+ dummy3.GetYaxis()->SetRangeUser(minR, maxR);
+ dummy3.SetLineWidth(2);
+ dummy3.GetXaxis()->SetLabelSize(0.08);
+ dummy3.GetYaxis()->SetLabelSize(0.08);
+ dummy3.GetXaxis()->SetTitleSize(0.08);
+ dummy3.GetYaxis()->SetTitleSize(0.08);
+ dummy3.GetYaxis()->SetTitleOffset(0.8);
+ dummy3.DrawCopy();
+
+ if (syst)
+ {
+ // for the ratio add in quadrature
+ for (Int_t bin=1; bin<=syst->GetNbinsX(); bin++)
+ {
+ if (corr->GetBinError(bin) > 0)
+ syst->SetBinError(bin, TMath::Sqrt(TMath::Power(syst->GetBinContent(bin) / 100, 2) + TMath::Power(corr->GetBinError(bin) / corr->GetBinContent(bin), 2)));
+ else
+ syst->SetBinError(bin, 0);
+ syst->SetBinContent(bin, 1);
+ }
+
+ syst->Draw("E2 ][ SAME");
+ dummy3.DrawCopy("SAME");
+ }
+
+ ratio->Draw("SAME");
+
+ ratio->Fit("pol0", "N");
+
+ canvas3->Modified();
+ //canvas3->SaveAs(Form("%s.eps", canvas3->GetTitle()));
+}
+
+void loadlibs()
+{
+ gSystem->Load("libANALYSIS");
+ gSystem->Load("libANALYSISalice");
+ gSystem->Load("libCORRFW");
+ gSystem->Load("libPWGTools");
+ gSystem->Load("libPWGCFCorrelationsBase");
+}
+
+const char* lastFileName = 0;
+void* cacheSameEvent = 0;
+void* cacheMixedEvent = 0;
+
+void* GetUEHistogram(const char* fileName, TList** listRef = 0, Bool_t mixed = kFALSE, const char* tag = "")
+{
+ if (!lastFileName || strcmp(lastFileName, fileName) != 0)
+ {
+ lastFileName = fileName;
+ file = TFile::Open(fileName);
+ if (!file)
+ return 0;
+
+ list = (TList*) gFile->Get("PWG4_LeadingTrackUE/histosLeadingTrackUE");
+ if (!list)
+ list = (TList*) gFile->Get(Form("PWG4_PhiCorrelations/histosPhiCorrelations%s", tag));
+ if (!list)
+ list = (TList*) gFile->Get("PWG4_PhiCorrelations/histosPhiCorrelations_Syst");
+
+ if (!list)
+ return 0;
+
+ if (listRef)
+ *listRef = list;
+
+ cacheMixedEvent = list->FindObject("AliUEHistogramsMixed");
+ cacheSameEvent = list->FindObject("AliUEHistogramsSame");
+
+ if (mixed)
+ return cacheMixedEvent;
+
+ if (list->FindObject("AliUEHistograms"))
+ return list->FindObject("AliUEHistograms");
+
+ return cacheSameEvent;
+ }
+ else
+ {
+ Printf("GetUEHistogram --> Using cache for %s", fileName);
+
+ if (mixed)
+ return cacheMixedEvent;
+ else
+ return cacheSameEvent;
+ }
+}
+
+void CompareBias(const char* mcFile = "PWG4_JetTasksOutput.root", Int_t region, Int_t ueHist)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(mcFile);
+ SetupRanges(h);
+
+ const char* axis = "z";
+ Float_t ptLeadMin = 0;
+ Float_t ptLeadMax = -1;
+
+ if (ueHist == 2)
+ {
+ ptLeadMin = 0.51 + 0;
+ ptLeadMax = 1.99 + 0;
+ axis = "y";
+ }
+
+ biasFromData = (TH1*) h->GetUEHist(ueHist)->GetBias(AliUEHist::kCFStepBiasStudy, AliUEHist::kCFStepReconstructed, region, axis, ptLeadMin, ptLeadMax)->Clone("biasFromData");
+ biasFromData2 = (TH1*) h->GetUEHist(ueHist)->GetBias(AliUEHist::kCFStepBiasStudy2, AliUEHist::kCFStepReconstructed, region, axis, ptLeadMin, ptLeadMax)->Clone("biasFromData2");
+ //biasFromData = (TH1*) h->GetUEHist(ueHist)->GetBias(AliUEHist::kCFStepReconstructed, AliUEHist::kCFStepRealLeading, region, axis)->Clone("biasFromData");
+ biasFromMC = (TH1*) h->GetUEHist(ueHist)->GetBias(AliUEHist::kCFStepReconstructed, AliUEHist::kCFStepTracked, region, axis, ptLeadMin, ptLeadMax)->Clone("biasFromMC");
+ //biasFromMC = (TH1*) h->GetUEHist(ueHist)->GetBias(AliUEHist::kCFStepReconstructed, AliUEHist::kCFStepRealLeading, region, axis)->Clone("biasFromMC");
+
+/* biasFromData->Draw();
+ biasFromMC->SetLineColor(2);
+ biasFromMC->Draw("SAME");
+ return;*/
+
+ DrawRatio(biasFromData, biasFromMC, "bias: data vs MC");
+ DrawRatio(biasFromData, biasFromData2, "bias: data vs data two step");
+}
+
+void CompareBiasWithData(const char* mcFile = "PWG4_JetTasksOutput.root", const char* dataFile = "esd.root", Int_t region = 2)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(mcFile);
+ SetupRanges(h);
+
+ biasFromMC = (TH1*) h->GetNumberDensitypT()->GetBias(AliUEHist::kCFStepReconstructed, AliUEHist::kCFStepTracked, region, "z")->Clone("biasFromMC");
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(dataFile);
+ SetupRanges(h2);
+
+ biasFromData = (TH1*) h2->GetNumberDensitypT()->GetBias(AliUEHist::kCFStepBiasStudy, AliUEHist::kCFStepReconstructed, region, "z")->Clone("biasFromData");
+ biasFromData2 = (TH1*) h2->GetNumberDensitypT()->GetBias(AliUEHist::kCFStepBiasStudy2, AliUEHist::kCFStepReconstructed, region, "z")->Clone("biasFromData2");
+
+ DrawRatio(biasFromData, biasFromMC, "bias: data vs MC");
+ DrawRatio(biasFromData, biasFromData2, "bias: data vs data two step");
+}
+
+Int_t count = 0;
+
+void Compare(const char* fileName1, const char* fileName2, Int_t id, Int_t step1, Int_t step2, Int_t region, Float_t ptLeadMin = -1, Float_t ptLeadMax = -1, Int_t centralityBegin = 0, Int_t centralityEnd = -1)
+{
+ loadlibs();
+
+ if (!gCache || !gFirst)
+ {
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1);
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+ }
+
+ if (gCache)
+ {
+ if (!gFirst)
+ {
+ gFirst = h;
+ gSecond = h2;
+ }
+ else
+ {
+ AliUEHistograms* h = (AliUEHistograms*) gFirst;
+ AliUEHistograms* h2 = (AliUEHistograms*) gSecond;
+ }
+ }
+
+ SetupRanges(h);
+ SetupRanges(h2);
+
+ TH1* hist1 = h->GetUEHist(id)->GetUEHist(step1, region, ptLeadMin, ptLeadMax, centralityBegin, centralityEnd);
+ //TH1* hist1 = h->GetUEHist(id)->GetUEHist(step1, region, ptLeadMin, ptLeadMax);
+ TH1* hist2 = h2->GetUEHist(id)->GetUEHist(step2, region, ptLeadMin, ptLeadMax, centralityBegin, centralityEnd);
+
+ //hist1->Scale(1.0 / hist1->Integral());
+ //hist2->Scale(1.0 / hist2->Integral());
+
+ TH1* trackHist = 0;
+ if (id == 2)
+ {
+ trackHist = h->GetUEHist(id)->GetTrackHist(region)->ShowProjection(2, 0);
+ // only keep bins under consideration
+ for (Int_t bin=1; bin<=trackHist->GetNbinsX(); bin++)
+ if (bin < trackHist->FindBin(ptLeadMin) || bin > trackHist->FindBin(ptLeadMax))
+ trackHist->SetBinContent(bin, 0);
+ }
+
+ // systematic uncertainty
+ TH1* syst = 0; //GetSystematicUncertainty(hist1, trackHist);
+
+ DrawRatio(hist1, hist2, Form("%d_%s_%d_%d_%d_%.2f_%.2f", count++, TString(gSystem->BaseName(fileName1)).Tokenize(".")->First()->GetName(), id, step1, region, ptLeadMin, ptLeadMax), syst);
+}
+
+void CompareEventHist(const char* fileName1, const char* fileName2, Int_t id, Int_t step, Int_t var)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1);
+ SetupRanges(h);
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+ SetupRanges(h2);
+
+ TH1* hist1 = h->GetUEHist(id)->GetEventHist()->ShowProjection(var, step);
+ TH1* hist2 = h2->GetUEHist(id)->GetEventHist()->ShowProjection(var, step);
+
+ DrawRatio(hist1, hist2, "compare");
+}
+
+void CompareEventHist(const char* fileName1, const char* fileName2, Int_t id, Int_t step1, Int_t step2, Int_t var)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1);
+ SetupRanges(h);
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+ SetupRanges(h2);
+
+// h->GetUEHist(id)->GetEventHist()->GetGrid(step1)->GetGrid()->GetAxis(1)->SetRange(1, 5);
+// h2->GetUEHist(id)->GetEventHist()->GetGrid(step2)->GetGrid()->GetAxis(1)->SetRange(1, 5);
+
+ TH1* hist1 = h->GetUEHist(id)->GetEventHist()->ShowProjection(var, step1);
+ TH1* hist2 = h2->GetUEHist(id)->GetEventHist()->ShowProjection(var, step2);
+
+ DrawRatio(hist1, hist2, "compare");
+}
+
+void CompareStep(const char* fileName1, const char* fileName2, Int_t id, Int_t step, Int_t region, Float_t ptLeadMin = -1, Float_t ptLeadMax = -1)
+{
+ // fileName1 is labelled Corrected in the plot
+
+ loadlibs();
+
+ gUEHist = id;
+ gRegion = region;
+ Compare(fileName1, fileName2, id, step, step, region, ptLeadMin, ptLeadMax);
+}
+
+void CompareStep(const char* fileName1, const char* fileName2, Int_t id, Int_t step1, Int_t step2, Int_t region, Float_t ptLeadMin = -1, Float_t ptLeadMax = -1, Int_t centralityBegin = 0, Int_t centralityEnd = -1)
+{
+ // fileName1 is labelled Corrected in the plot
+
+ loadlibs();
+
+ gUEHist = id;
+ gRegion = region;
+ Compare(fileName1, fileName2, id, step1, step2, region, ptLeadMin, ptLeadMax, centralityBegin, centralityEnd);
+}
+
+TH1* DrawStep(const char* fileName, Int_t id, Int_t step, Int_t region, Float_t ptLeadMin = -1, Float_t ptLeadMax = -1, Int_t centralityBegin = 0, Int_t centralityEnd = -1, Int_t twoD = 0, Bool_t mixed = kFALSE)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, 0, mixed);
+ SetupRanges(h);
+
+ new TCanvas;
+ return h->GetUEHist(id)->GetUEHist(step, region, ptLeadMin, ptLeadMax, centralityBegin, centralityEnd, twoD)->DrawCopy();
+}
+
+void DrawProjectionsRidge(const char* fileName, const char* fileNamePbPbMix = 0)
+{
+ if (!fileNamePbPbMix)
+ fileNamePbPbMix = fileName;
+
+ gpTMin = 1.01;
+ gpTMax = 2.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPbMix, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist1 = 0;
+ GetDistAndFlow(h, hMixed, &hist1, 0, 8, 0, 100, 3.01, 3.99, 1, kTRUE, 0, kTRUE);
+
+// ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+
+// NormalizeToBinWidth(hist1);
+
+ proj1y = ((TH2*) hist1)->ProjectionY("proj1y", hist1->GetXaxis()->FindBin(-0.5), hist1->GetXaxis()->FindBin(0.5));
+ proj1x = ((TH2*) hist1)->ProjectionX("proj1x", hist1->GetYaxis()->FindBin(-1.79), hist1->GetYaxis()->FindBin(1.79));
+
+ proj1y->Scale(1.0 / (hist1->GetXaxis()->FindBin(0.5) - hist1->GetXaxis()->FindBin(-0.5) + 1));
+ proj1x->Scale(1.0 / (hist1->GetYaxis()->FindBin(1.79) - hist1->GetYaxis()->FindBin(-1.79) + 1));
+
+ proj1y->GetXaxis()->SetTitleOffset(1);
+ proj1x->GetXaxis()->SetTitleOffset(1);
+
+ Float_t zyam = proj1x->GetBinContent(proj1x->GetXaxis()->FindBin(TMath::Pi()/2));
+ proj1x->Add(new TF1("func", "-1", -100, 100), zyam);
+ proj1y->Add(new TF1("func", "-1", -100, 100), zyam);
+
+ new TCanvas("c", "c", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+// new TCanvas; proj1y->Draw(); new TCanvas; proj1x->Draw(); return;
+
+ TH1* hist2 = 0;
+ GetDistAndFlow(h, hMixed, &hist2, 0, 8, 40, 100, 4.01, 5.99, 1, kTRUE, 0, kTRUE);
+
+// ((TH2*) hist2)->Rebin2D(2, 2); hist2->Scale(0.25);
+// NormalizeToBinWidth(hist2);
+
+ proj2y = ((TH2*) hist2)->ProjectionY("proj2y", hist1->GetXaxis()->FindBin(-0.5), hist1->GetXaxis()->FindBin(0.5));
+ proj2x = ((TH2*) hist2)->ProjectionX("proj2x", hist1->GetYaxis()->FindBin(-1.79), hist1->GetYaxis()->FindBin(1.79));
+
+ proj2y->Scale(1.0 / (hist1->GetXaxis()->FindBin(0.5) - hist1->GetXaxis()->FindBin(-0.5) + 1));
+ proj2x->Scale(1.0 / (hist1->GetYaxis()->FindBin(1.79) - hist1->GetYaxis()->FindBin(-1.79) + 1));
+
+ zyam = proj2x->GetBinContent(proj2x->GetXaxis()->FindBin(TMath::Pi()/2));
+ proj2x->Add(new TF1("func", "-1", -100, 100), zyam);
+ proj2y->Add(new TF1("func", "-1", -100, 100), zyam);
+
+ proj2y->SetLineColor(2); proj2x->SetLineColor(2);
+
+ new TCanvas; proj1y->Draw(); proj2y->Draw("SAME");
+ new TCanvas; proj1x->Draw(); proj2x->Draw("SAME");
+
+ new TCanvas("c2", "c2", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist2->SetTitle("");
+ hist2->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist2->GetXaxis()->SetTitleOffset(1.5);
+ hist2->GetYaxis()->SetTitleOffset(2);
+ hist2->SetStats(kFALSE);
+ hist2->DrawCopy("SURF1");
+}
+
+void DrawExample(const char* fileName, const char* fileNamePbPbMix = 0)
+{
+ if (!fileNamePbPbMix)
+ fileNamePbPbMix = fileName;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPbMix, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist1 = 0;
+ GetDistAndFlow(h, hMixed, &hist1, 0, 8, 0, 40, 1.01, 1.99, 1, kTRUE, 0, kTRUE);
+
+ ((TH2*) hist1)->Rebin2D(2, 2);
+ hist1->Scale(0.25);
+
+// NormalizeToBinWidth(hist1);
+
+ new TCanvas("c", "c", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ TH1* hist2 = 0;
+ GetDistAndFlow(h, hMixed, &hist2, 0, 8, 40, 100, 1.01, 1.99, 1, kTRUE, 0, kTRUE);
+
+ ((TH2*) hist2)->Rebin2D(2, 2); hist2->Scale(0.25);
+
+// NormalizeToBinWidth(hist1);
+
+ new TCanvas("c2", "c2", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist2->SetTitle("");
+ hist2->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist2->GetXaxis()->SetTitleOffset(1.5);
+ hist2->GetYaxis()->SetTitleOffset(2);
+ hist2->SetStats(kFALSE);
+ hist2->DrawCopy("SURF1");
+
+
+
+ return;
+
+ hist2 = hist1;
+ /*
+ GetDistAndFlow(h, hMixed, &hist1, 0, 0, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+
+ ((TH2*) hist1)->Rebin2D(2, 2);
+// NormalizeToBinWidth(hist1);
+
+ new TCanvas("c2", "c2", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ hist1->Divide(hist2);
+
+ new TCanvas("c5", "c5", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ return;
+
+ GetDistAndFlow(h, hMixed, &hist1, 0, 6, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE, 6);
+
+ ((TH2*) hist1)->Rebin2D(2, 2);
+// NormalizeToBinWidth(hist1);
+
+ new TCanvas("c3", "c3", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+// return;
+
+// TH1* hist1 = 0;
+// GetDistAndFlow(h, hMixed, &hist1, 0, 4, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE, 6);
+//
+// ((TH2*) hist1)->Rebin2D(2, 2);
+// // hist1->Scale(0.25);
+//
+// // NormalizeToBinWidth(hist1);
+//
+// new TCanvas("c1b", "c1b", 800, 800);
+// gPad->SetLeftMargin(0.15);
+// hist1->SetTitle("");
+// hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+// hist1->GetXaxis()->SetTitleOffset(1.5);
+// hist1->GetYaxis()->SetTitleOffset(2);
+// hist1->SetStats(kFALSE);
+// hist1->DrawCopy("SURF1");
+// hist2 = hist1;
+
+// return;
+
+// GetDistAndFlow(h, 0, &hist1, 0, 8, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+//
+// NormalizeToBinWidth(hist1);
+// //
+// for (Int_t i=1; i<=hist1->GetNbinsX(); ++i)
+// {
+// for (Int_t j=1; j<=hist1->GetNbinsY(); ++j)
+// {
+// Float_t factor = 1.0 / (2.0 - TMath::Abs(hist1->GetYaxis()->GetBinCenter(j)));
+// hist1->SetBinContent(i, j, hist1->GetBinContent(i, j) * factor);
+// hist1->SetBinError(i, j, hist1->GetBinError(i, j) * factor);
+// }
+// }
+
+/* new TCanvas("c4", "c4", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1"); */
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram("corrected.root");
+ AliUEHistograms* h2Mixed = (AliUEHistograms*) GetUEHistogram("corrected.root", 0, kTRUE);
+ SetupRanges(h2);
+ SetupRanges(h2Mixed);
+
+ GetDistAndFlow(h2, h2Mixed, &hist1, 0, 8, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+ ((TH2*) hist1)->Rebin2D(2, 2);
+
+ new TCanvas("c4", "c4", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ hist1->Divide(hist2);
+
+ new TCanvas("c5", "c5", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+// hist1->Divide(histMixed);
+
+// NormalizeToBinWidth(hist1);
+// //
+// for (Int_t i=1; i<=hist1->GetNbinsX(); ++i)
+// {
+// for (Int_t j=1; j<=hist1->GetNbinsY(); ++j)
+// {
+// Float_t factor = 1.0 / (2.0 - TMath::Abs(hist1->GetYaxis()->GetBinCenter(j)));
+// hist1->SetBinContent(i, j, hist1->GetBinContent(i, j) * factor);
+// hist1->SetBinError(i, j
+// }, hist1->GetBinError(i, j) * factor);
+// }
+
+// new TCanvas("c6", "c6", 800, 800);
+// gPad->SetLeftMargin(0.15);
+// hist1->SetTitle("");
+// hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+// hist1->GetXaxis()->SetTitleOffset(1.5);
+// hist1->GetYaxis()->SetTitleOffset(2);
+// hist1->SetStats(kFALSE);
+// hist1->DrawCopy("SURF1");
+
+ return;
+
+ GetSumOfRatios(h, hMixed, &hist1, 6, 60, 90, 8.01, 9.99, kTRUE);
+ new TCanvas("c2", "c2", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->Draw("SURF1");
+
+ return;
+
+ latex = new TLatex(0.82, 0.74, "ALICE performance");
+ latex->SetTextSize(0.02);
+ latex->SetTextAlign(22);
+ latex->SetNDC();
+ latex->Draw();
+ latex = new TLatex(0.82, 0.72, "Pb-Pb 2.76 TeV");
+ latex->SetTextSize(0.02);
+ latex->SetTextAlign(22);
+ latex->SetNDC();
+ latex->Draw();
+ latex = new TLatex(0.82, 0.70, "28.09.11");
+ latex->SetTextSize(0.02);
+ latex->SetTextAlign(22);
+ latex->SetNDC();
+ latex->Draw();
+
+ DrawALICELogo(0.75, 0.75, 0.9, 0.9);
+}
+
+void DrawSameMixed(const char* fileName, const char* fileNamePbPbMix = 0, Int_t step = 6)
+{
+ if (!fileNamePbPbMix)
+ fileNamePbPbMix = fileName;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPbMix, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist1 = 0;
+ GetDistAndFlow(h, 0, &hist1, 0, step, 0, 80, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+
+// ((TH2*) hist1)->Rebin2D(2, 2);
+// hist1->Scale(0.25);
+
+ NormalizeToBinWidth(hist1);
+
+// for (Int_t i=1; i<=hist1->GetNbinsX(); ++i)
+// {
+// for (Int_t j=1; j<=hist1->GetNbinsY(); ++j)
+// {
+// Float_t factor = 1.0 / (2.0 - TMath::Abs(hist1->GetYaxis()->GetBinCenter(j) / 0.9));
+// hist1->SetBinContent(i, j, hist1->GetBinContent(i, j) * factor);
+// hist1->SetBinError(i, j, hist1->GetBinError(i, j) * factor);
+// }
+// }
+
+ c = new TCanvas("c", "c", 1600, 800);
+ c->Divide(2, 1);
+ c->cd(1);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetZaxis()->SetTitleOffset(1.8);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->GetZaxis()->SetTitle("same event pairs (a.u.)");
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ DrawALICELogo(kFALSE, 0.2, 0.7, 0.4, 0.9);
+
+ hist2 = hist1;
+
+ GetDistAndFlow(hMixed, 0, &hist1, 0, step, 0, 80, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+
+// ((TH2*) hist1)->Rebin2D(2, 2);
+ NormalizeToBinWidth(hist1);
+
+// for (Int_t j=1; j<=hist1->GetNbinsY(); ++j)
+// {
+// Float_t factor = 1.0 / (1.0 - TMath::Abs(hist1->GetYaxis()->GetBinCenter(j)) / 6.0);
+// Printf("%d %f", j, factor);
+// for (Int_t i=1; i<=hist1->GetNbinsX(); ++i)
+// {
+// hist1->SetBinContent(i, j, hist1->GetBinContent(i, j) * factor);
+// hist1->SetBinError(i, j, hist1->GetBinError(i, j) * factor);
+// }
+// }
+
+ c->cd(2);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetZaxis()->SetTitleOffset(1.8);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->GetZaxis()->SetTitle("mixed event pairs (a.u.)");
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ DrawALICELogo(kFALSE, 0.2, 0.7, 0.4, 0.9);
+
+ c->SaveAs(Form("samemixed_%d.eps", step));
+ c->SaveAs(Form("samemixed_%d.png", step));
+
+ new TCanvas("c3", "c3", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist2->Divide(hist1);
+ hist2->DrawCopy("SURF1");
+}
+
+void Validation2DAllStepsNew(const char* fileName, Int_t bin = 0)
+{
+ Int_t centralityFrom = 0;
+ Int_t centralityTo = 80;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ Float_t ptTrigBegin = 2.01;
+ Float_t ptTrigEnd = 3.99;
+
+ if (bin == 1)
+ {
+ gpTMin = 0.51;
+ gpTMax = 0.99;
+ ptTrigBegin = 1.01;
+ ptTrigEnd = 1.99;
+ }
+ else if (bin == 2)
+ {
+ gpTMin = 0.51;
+ gpTMax = 0.99;
+ ptTrigBegin = 0.51;
+ ptTrigEnd = 0.99;
+ }
+ else if (bin == 3)
+ {
+/* gpTMin = 0.51;
+ gpTMax = 0.99;
+ ptTrigBegin = 0.51;
+ ptTrigEnd = 0.99;*/
+ centralityFrom = 0;
+ centralityTo = 20;
+ }
+ else if (bin == 4)
+ {
+/* gpTMin = 0.51;
+ gpTMax = 0.99;
+ ptTrigBegin = 0.51;
+ ptTrigEnd = 0.99;*/
+ centralityFrom = 60;
+ centralityTo = 80;
+ }
+ else if (bin == 5)
+ {
+ gpTMin = 0.51;
+ gpTMax = 0.74;
+ ptTrigBegin = 0.51;
+ ptTrigEnd = 0.99;
+ }
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist[6];
+
+ GetSumOfRatios(h, hMixed, &hist[0], 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[1], 4, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[2], 5, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[3], 6, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[4], 8, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[5], 10, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+
+ c = new TCanvas("c", "c", 1600, 1000);
+ c->Divide(6, 4);
+
+ Float_t peakYield1[6];
+ Float_t baselineValues1[6];
+
+ for (Int_t i=0; i<6; i++)
+ {
+ if (!hist[i])
+ continue;
+
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist[i]->Scale(1.0 / hist[i]->GetYaxis()->GetBinWidth(1));
+
+ ((TH2*) hist[i])->Rebin2D(2, 2); hist[i]->Scale(0.25);
+ }
+
+ for (Int_t i=0; i<6; i++)
+ {
+ if (!hist[i])
+ continue;
+
+ c->cd(i+1);
+ hist[i]->GetYaxis()->SetRangeUser(-1.99, 1.99);
+ hist[i]->GetXaxis()->SetTitleOffset(1.5);
+ hist[i]->GetYaxis()->SetTitleOffset(2);
+ hist[i]->GetZaxis()->SetTitleOffset(1.8);
+ hist[i]->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist[i]->SetStats(kFALSE);
+ hist[i]->DrawCopy("SURF1");
+
+ if (hist[5])
+ {
+ c->cd(i+1+6);
+ TH2* clone = (TH2*) hist[i]->Clone();
+ clone->Divide(hist[5]);
+ clone->DrawCopy("COLZ");
+ gPad->SetRightMargin(0.15);
+ }
+
+ c->cd(i+1+12);
+ proj1 = ((TH2*) hist[i])->ProjectionX(Form("proj1_%d", i), hist[i]->GetYaxis()->FindBin(-0.99), hist[i]->GetYaxis()->FindBin(0.99));
+ proj1->DrawCopy();
+
+ baselineValues1[i] = proj1->Integral(proj1->FindBin(TMath::Pi()/2 - 0.2), proj1->FindBin(TMath::Pi()/2 + 0.2)) / (proj1->FindBin(TMath::Pi()/2 + 0.2) - proj1->FindBin(TMath::Pi()/2 - 0.2) + 1);
+ peakYield1[i] = proj1->Integral(proj1->GetXaxis()->FindBin(-1), proj1->GetXaxis()->FindBin(1)) / (proj1->GetXaxis()->FindBin(0.99) - proj1->GetXaxis()->FindBin(-0.99) + 1) - baselineValues1[i];
+ Printf("%d: %f %f", i, peakYield1[i], baselineValues1[i]);
+
+ if (hist[5])
+ {
+ proj2 = ((TH2*) hist[5])->ProjectionX(Form("proj2_%d", i), hist[5]->GetYaxis()->FindBin(-0.99), hist[5]->GetYaxis()->FindBin(0.99));
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ c->cd(i+1+18);
+ proj1->Divide(proj1, proj2, 1, 1, "B");
+ proj1->Draw();
+ }
+ }
+
+ c = new TCanvas("c2", "c2", 1600, 1000);
+ c->Divide(6, 4);
+
+ for (Int_t i=0; i<6; i++)
+ {
+ if (!hist[i])
+ continue;
+
+ c->cd(i+1);
+ hist[i]->GetYaxis()->SetRangeUser(-1.99, 1.99);
+ hist[i]->GetXaxis()->SetTitleOffset(1.5);
+ hist[i]->GetYaxis()->SetTitleOffset(2);
+ hist[i]->GetZaxis()->SetTitleOffset(1.8);
+ hist[i]->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist[i]->SetStats(kFALSE);
+ hist[i]->DrawCopy("SURF1");
+
+ c->cd(i+1+6);
+ TH2* clone = (TH2*) hist[i]->Clone();
+ clone->Divide(hist[0]);
+ clone->DrawCopy("COLZ");
+ gPad->SetRightMargin(0.15);
+
+ c->cd(i+1+12);
+ proj1 = ((TH2*) hist[i])->ProjectionX(Form("proj3_%d", i), hist[i]->GetYaxis()->FindBin(-0.99), hist[i]->GetYaxis()->FindBin(0.99));
+ proj1->DrawCopy();
+
+ proj2 = ((TH2*) hist[0])->ProjectionX(Form("proj4_%d", i), hist[0]->GetYaxis()->FindBin(-0.99), hist[0]->GetYaxis()->FindBin(0.99));
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ c->cd(i+1+18);
+ proj1->Divide(proj1, proj2, 1, 1, "B");
+ proj1->Draw();
+ }
+
+ c = new TCanvas("c3", "c3", 1600, 1000);
+ c->Divide(6, 4);
+
+ for (Int_t i=3; i<4; i++)
+ {
+ if (!hist[i])
+ continue;
+
+ c->cd(i+1);
+ hist[i]->GetYaxis()->SetRangeUser(-1.99, 1.99);
+ hist[i]->GetXaxis()->SetTitleOffset(1.5);
+ hist[i]->GetYaxis()->SetTitleOffset(2);
+ hist[i]->GetZaxis()->SetTitleOffset(1.8);
+ hist[i]->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist[i]->SetStats(kFALSE);
+ hist[i]->DrawCopy("SURF1");
+
+ c->cd(i+1+6);
+ TH2* clone = (TH2*) hist[i]->Clone();
+ clone->Divide(hist[4]);
+ clone->DrawCopy("COLZ");
+ gPad->SetRightMargin(0.15);
+
+ c->cd(i+1+12);
+ proj1 = ((TH2*) hist[i])->ProjectionX(Form("proj4_%d", i), hist[i]->GetYaxis()->FindBin(-0.99), hist[i]->GetYaxis()->FindBin(0.99));
+ proj1->DrawCopy();
+
+ proj2 = ((TH2*) hist[4])->ProjectionX(Form("proj5_%d", i), hist[4]->GetYaxis()->FindBin(-0.99), hist[4]->GetYaxis()->FindBin(0.99));
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ c->cd(i+1+18);
+ proj1->Divide(proj1, proj2, 1, 1, "B");
+ proj1->Draw();
+ }
+
+ c = new TCanvas("c4", "c4", 1200, 400);
+ c->Divide(3, 1);
+
+ for (Int_t i=0; i<1; i++)
+ {
+ if (!hist[i])
+ continue;
+
+ if (hist[5])
+ {
+ c->cd(1);
+ TH2* clone = (TH2*) hist[i]->Clone();
+ clone->Divide(hist[5]);
+ clone->DrawCopy("COLZ");
+ gPad->SetRightMargin(0.15);
+ }
+
+ c->cd(2);
+ proj1 = ((TH2*) hist[i])->ProjectionX(Form("proj1_%d", i), hist[i]->GetYaxis()->FindBin(-0.99), hist[i]->GetYaxis()->FindBin(0.99));
+ proj1->DrawCopy();
+
+ baselineValues1[i] = proj1->Integral(proj1->FindBin(TMath::Pi()/2 - 0.2), proj1->FindBin(TMath::Pi()/2 + 0.2)) / (proj1->FindBin(TMath::Pi()/2 + 0.2) - proj1->FindBin(TMath::Pi()/2 - 0.2) + 1);
+ peakYield1[i] = proj1->Integral(proj1->GetXaxis()->FindBin(-1), proj1->GetXaxis()->FindBin(1)) / (proj1->GetXaxis()->FindBin(0.99) - proj1->GetXaxis()->FindBin(-0.99) + 1) - baselineValues1[i];
+ Printf("%d: %f %f", i, peakYield1[i], baselineValues1[i]);
+
+ if (hist[5])
+ {
+ proj2 = ((TH2*) hist[5])->ProjectionX(Form("proj2_%d", i), hist[5]->GetYaxis()->FindBin(-0.99), hist[5]->GetYaxis()->FindBin(0.99));
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ c->cd(3);
+ proj1->Divide(proj1, proj2, 1, 1, "B");
+ proj1->Draw();
+ }
+ }
+
+ for (Int_t i=0; i<6; i++)
+ Printf("%d/%d: %f %f", i, 0, peakYield1[i] / peakYield1[0] - 1, baselineValues1[i] / baselineValues1[0] - 1);
+
+ if (hist[5])
+ {
+ for (Int_t i=0; i<6; i++)
+ Printf("%d/%d: %f %f", i, 5, peakYield1[i] / peakYield1[5] - 1, baselineValues1[i] / baselineValues1[5] - 1);
+ }
+}
+
+void Validation2DAllBins(const char* fileName, const char *fileName2)
+{
+ /* Int_t is[] = { 0, 1, 2, 3, 4, 5};
+ Int_t js[] = { 1, 2, 3, 4, 5, 6 };
+ Int_t n = 5;*/
+/* Int_t is[] = { 0, 1, 1, 2, 2, 2, 3, 3, 3 };
+ Int_t js[] = { 1, 1, 2, 1, 2, 3, 1, 2, 3 };*/
+ Int_t is[] = { 0, 1, 1, 2, 2, 2, 3 };
+ Int_t js[] = { 1, 1, 2, 1, 2, 3, 3 };
+ Int_t n = 6;
+
+ file1 = TFile::Open(fileName);
+ TFile* file2 = 0;
+ if (fileName2)
+ file2 = TFile::Open(fileName2);
+
+ file3 = TFile::Open("non_closure.root", "RECREATE");
+ file3->Close();
+
+ Float_t baselineValues1, baselineValues2, peakYield1, peakYield2;
+
+ Int_t padID = 0;
+ Int_t padN = 4;
+ for (Int_t centr=0; centr<4; centr++)
+ {
+ for (Int_t i=0; i<n; i++)
+ {
+ if (padN == 4)
+ {
+ c = new TCanvas(Form("c%d", padID), Form("c%d", padID), 1100, 750);
+ c->Divide(3, 3);
+ padN = 1;
+ padID++;
+ }
+
+ TH2* hist1 = (TH2*) file1->Get(Form("dphi_%d_%d_%d", is[i], js[i], centr));
+ if (!hist1)
+ continue;
+ TH2* hist2 = 0;
+ if (file2)
+ hist2 = (TH2*) file2->Get(Form("dphi_%d_%d_%d", is[i], js[i], centr));
+ else
+ hist2 = (TH2*) file1->Get(Form("dphi_%d_%d_%d", is[i], js[i], centr+4));
+
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist1->Scale(1.0 / hist1->GetYaxis()->GetBinWidth(1));
+ hist2->Scale(1.0 / hist2->GetYaxis()->GetBinWidth(1));
+
+ ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+ ((TH2*) hist2)->Rebin2D(2, 2); hist2->Scale(0.25);
+
+ const Float_t outerEta = 1.8;
+ const Float_t exclusion = 0.5;
+
+ c->cd(padN);
+ proj1 = ((TH2*) hist1)->ProjectionX(Form("proj1a_%d_%d", centr, i), hist1->GetYaxis()->FindBin(-outerEta + 0.01), hist1->GetYaxis()->FindBin(-exclusion - 0.01));
+ proj1b = ((TH2*) hist1)->ProjectionX(Form("proj1b_%d_%d", centr, i), hist1->GetYaxis()->FindBin(exclusion + 0.01), hist1->GetYaxis()->FindBin(outerEta - 0.01));
+ proj1->Add(proj1b);
+ copy = proj1->DrawCopy();
+ copy->GetYaxis()->SetRangeUser(proj1->GetMinimum() * 0.9, proj1->GetMaximum() * 1.2);
+ proj1c = ((TH2*) hist1)->ProjectionX(Form("proj1c_%d_%d", centr, i), hist1->GetYaxis()->FindBin(-outerEta + 0.01), hist1->GetYaxis()->FindBin(outerEta - 0.01));
+ proj1c->SetLineColor(2);
+ proj1c->DrawCopy("SAME");
+ copy->SetMinimum(TMath::Min(copy->GetMinimum(), proj1c->GetMinimum()));
+ copy->SetMaximum(1.2 * TMath::Max(copy->GetMaximum(), proj1c->GetMaximum()));
+
+ Double_t baselineValues1E, peakYield1E;
+ baselineValues1 = proj1->IntegralAndError(proj1->FindBin(TMath::Pi()/2 - 0.2), proj1->FindBin(TMath::Pi()/2 + 0.2), baselineValues1E);
+ baselineValues1 /= (proj1->FindBin(TMath::Pi()/2 + 0.2) - proj1->FindBin(TMath::Pi()/2 - 0.2) + 1);
+ baselineValues1E /= (proj1->FindBin(TMath::Pi()/2 + 0.2) - proj1->FindBin(TMath::Pi()/2 - 0.2) + 1);
+ peakYield1 = proj1->IntegralAndError(proj1->GetXaxis()->FindBin(-1), proj1->GetXaxis()->FindBin(1), peakYield1E);
+ peakYield1 /= (proj1->GetXaxis()->FindBin(0.99) - proj1->GetXaxis()->FindBin(-0.99) + 1);
+ peakYield1E /= (proj1->GetXaxis()->FindBin(0.99) - proj1->GetXaxis()->FindBin(-0.99) + 1);
+ peakYield1 -= baselineValues1;
+ peakYield1E = TMath::Sqrt(peakYield1E * peakYield1E + baselineValues1E * baselineValues1E);
+
+ proj2 = ((TH2*) hist2)->ProjectionX(Form("proj2a_%d_%d", centr, i), hist2->GetYaxis()->FindBin(-outerEta + 0.01), hist2->GetYaxis()->FindBin(-exclusion - 0.01));
+ proj2b = ((TH2*) hist2)->ProjectionX(Form("proj2b_%d_%d", centr, i), hist2->GetYaxis()->FindBin(exclusion + 0.01), hist2->GetYaxis()->FindBin(outerEta - 0.01));
+ proj2->Add(proj2b);
+ proj2->SetLineColor(3);
+ proj2->DrawCopy("SAME");
+ proj2c = ((TH2*) hist2)->ProjectionX(Form("proj2c_%d_%d", centr, i), hist2->GetYaxis()->FindBin(-outerEta + 0.01), hist2->GetYaxis()->FindBin(outerEta - 0.01));
+ proj2c->SetLineColor(4);
+ proj2c->DrawCopy("SAME");
+
+ Double_t baselineValues2E, peakYield2E;
+ baselineValues2 = proj2->IntegralAndError(proj1->FindBin(TMath::Pi()/2 - 0.2), proj2->FindBin(TMath::Pi()/2 + 0.2), baselineValues2E);
+ baselineValues2 /= (proj2->FindBin(TMath::Pi()/2 + 0.2) - proj2->FindBin(TMath::Pi()/2 - 0.2) + 1);
+ baselineValues2E /= (proj2->FindBin(TMath::Pi()/2 + 0.2) - proj2->FindBin(TMath::Pi()/2 - 0.2) + 1);
+ peakYield2 = proj2->IntegralAndError(proj2->GetXaxis()->FindBin(-1), proj2->GetXaxis()->FindBin(1), peakYield2E);
+ peakYield2 /= (proj2->GetXaxis()->FindBin(0.99) - proj2->GetXaxis()->FindBin(-0.99) + 1);
+ peakYield2E /= (proj2->GetXaxis()->FindBin(0.99) - proj2->GetXaxis()->FindBin(-0.99) + 1);
+ peakYield2 -= baselineValues2;
+ peakYield2E = TMath::Sqrt(peakYield2E * peakYield2E + baselineValues2E * baselineValues2E);
+
+ // Printf("%d: %f %f %f %f %.2f%% %.2f%%", i, peakYield1, baselineValues1, peakYield2, baselineValues2, 100.0 * peakYield1 / peakYield2 - 100, 100.0 * baselineValues1 / baselineValues2 - 100);
+ Printf("%s: %.2f%% +- %.2f%% %.2f%% +- %.2f%%",
+ hist1->GetTitle(),
+ 100.0 * peakYield1 / peakYield2 - 100,
+ 100.0 * peakYield1 / peakYield2 * TMath::Sqrt(TMath::Power(peakYield1E / peakYield1, 2) + TMath::Power(peakYield2E / peakYield2, 2)),
+ 100.0 * baselineValues1 / baselineValues2 - 100,
+ 100.0 * baselineValues1 / baselineValues2 * TMath::Sqrt(TMath::Power(baselineValues1E / baselineValues1, 2) + TMath::Power(baselineValues2E / baselineValues2, 2))
+ );
+
+ c->cd(padN+3);
+ proj1->Divide(proj1, proj2, 1, 1, "B");
+ proj1c->Divide(proj1c, proj2c, 1, 1, "B");
+ // proj1->Add(proj2, -1);
+ proj1->Draw();
+ proj1c->SetLineColor(2);
+ proj1c->Draw("SAME");
+
+ c->cd(padN+6);
+ hist1->Divide(hist2);
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->Draw("COLZ");
+
+ file3 = TFile::Open("non_closure.root", "UPDATE");
+ proj1->Write(Form("non_closure_%d_%d_%d", is[i], js[i], centr));
+ proj1c->Write(Form("non_closure_all_%d_%d_%d", is[i], js[i], centr));
+ hist1->Write(Form("non_closure_2d_%d_%d_%d", is[i], js[i], centr));
+ file3->Close();
+
+ padN++;
+ }
+ }
+}
+
+void Validation2DAllSteps(const char* fileName, const char* fileNameCorrected = "corrected.root", Int_t startStep = 8)
+{
+ Int_t centralityFrom = 0;
+ Int_t centralityTo = 80;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ Float_t ptTrigBegin = 2.01;
+ Float_t ptTrigEnd = 2.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileNameCorrected);
+ hMixed2 = (AliUEHistograms*) GetUEHistogram(fileNameCorrected, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+ SetupRanges(h2);
+ SetupRanges(hMixed2);
+
+ TH1* hist[6];
+ TH1* hist2[6];
+
+// GetSumOfRatios(h, hMixed, &hist[0], 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, kTRUE);
+
+ GetDistAndFlow(h, hMixed, &hist[0], 0, 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 0);
+ GetDistAndFlow(h, hMixed, &hist[1], 0, 4, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 6);
+ GetDistAndFlow(h, hMixed, &hist[2], 0, 5, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 6);
+ GetDistAndFlow(h, hMixed, &hist[3], 0, startStep, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+ GetDistAndFlow(h2, hMixed2, &hist2[0], 0, 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+ GetDistAndFlow(h2, hMixed2, &hist2[1], 0, 4, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+ GetDistAndFlow(h2, hMixed2, &hist2[2], 0, 5, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+ GetDistAndFlow(h2, hMixed2, &hist2[3], 0, startStep, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+
+ c = new TCanvas("c", "c", 1600, 1000);
+ c->Divide(4, 5);
+
+ Float_t peakYield1[4];
+ Float_t baselineValues1[4];
+ Float_t peakYield2[4];
+ Float_t baselineValues2[4];
+ for (Int_t i=0; i<4; i++)
+ {
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist[i]->Scale(1.0 / hist[i]->GetYaxis()->GetBinWidth(1));
+ hist2[i]->Scale(1.0 / hist2[i]->GetYaxis()->GetBinWidth(1));
+
+ ((TH2*) hist[i])->Rebin2D(2, 2); hist[i]->Scale(0.25);
+// ((TH2*) hist[i])->Rebin2D(2, 2); hist[i]->Scale(0.25);
+
+ c->cd(i+1);
+ hist[i]->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist[i]->GetXaxis()->SetTitleOffset(1.5);
+ hist[i]->GetYaxis()->SetTitleOffset(2);
+ hist[i]->GetZaxis()->SetTitleOffset(1.8);
+ hist[i]->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist[i]->SetStats(kFALSE);
+ hist[i]->DrawCopy("SURF1");
+
+ ((TH2*) hist2[i])->Rebin2D(2, 2); hist2[i]->Scale(0.25);
+// ((TH2*) hist2[i])->Rebin2D(2, 2); hist2[i]->Scale(0.25);
+
+// TF2* func2 = new TF2("func2", "[0]+[1]*exp(-0.5*((x/[2])**2+(y/[3])**2))", -1, 1, -0.99, 0.99);
+// func2->SetParameters(0, 1, 0.5, 0.5);
+// hist[i]->Fit(func2, "0R");
+// hist[i]->Fit(func2, "0R");
+//
+// c->cd(i+1+4);
+// func2->DrawClone("SURF1");
+//
+// baselineValues1[i] = func2->GetParameter(0);
+// func2->SetParameter(0, 0);
+// peakYield1[i] = func2->Integral(-0.5 * TMath::Pi(), 0.5 * TMath::Pi(), -1.4, 1.4);
+// Printf("%f %f", peakYield1[i], baselineValues1[i]);
+
+ c->cd(i+1+4);
+ hist2[i]->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist2[i]->GetXaxis()->SetTitleOffset(1.5);
+ hist2[i]->GetYaxis()->SetTitleOffset(2);
+ hist2[i]->GetZaxis()->SetTitleOffset(1.8);
+ hist2[i]->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist2[i]->SetStats(kFALSE);
+ hist2[i]->DrawCopy("SURF1");
+
+ c->cd(i+1+12);
+ proj1 = ((TH2*) hist[i])->ProjectionX(Form("proj1_%d", i), hist[i]->GetYaxis()->FindBin(-0.99), hist[i]->GetYaxis()->FindBin(0.99));
+ proj1->DrawCopy();
+
+ baselineValues1[i] = proj1->GetMinimum();
+ peakYield1[i] = proj1->Integral(proj1->GetXaxis()->FindBin(-1), proj1->GetXaxis()->FindBin(1)) / (proj1->GetXaxis()->FindBin(0.99) - proj1->GetXaxis()->FindBin(-0.99) + 1) - baselineValues1[i];
+ Printf("%f %f", peakYield1[i], baselineValues1[i]);
+
+ proj2 = ((TH2*) hist2[i])->ProjectionX(Form("proj2_%d", i), hist2[i]->GetYaxis()->FindBin(-0.99), hist2[i]->GetYaxis()->FindBin(0.99));
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ baselineValues2[i] = proj2->GetMinimum();
+ peakYield2[i] = proj2->Integral(proj2->GetXaxis()->FindBin(-1), proj2->GetXaxis()->FindBin(1)) / (proj2->GetXaxis()->FindBin(0.99) - proj2->GetXaxis()->FindBin(-0.99) + 1) - baselineValues2[i];
+ Printf("%f %f", peakYield2[i], baselineValues2[i]);
+
+ c->cd(i+1+16);
+ proj1->Divide(proj2);
+ proj1->Draw();
+
+// func2 = new TF2("func2", "[0]+[1]*exp(-0.5*((x/[2])**2+(y/[3])**2))", -1, 1, -0.99, 0.99);
+// func2->SetParameters(0, 1, 0.5, 0.5);
+// hist2[i]->Fit(func2, "0R");
+// hist2[i]->Fit(func2, "0R");
+//
+// c->cd(i+1+12);
+// func2->DrawClone("SURF1");
+//
+// baselineValues2[i] = func2->GetParameter(0);
+// func2->SetParameter(0, 0);
+// peakYield2[i] = func2->Integral(-0.5 * TMath::Pi(), 0.5 * TMath::Pi(), -1.4, 1.4);
+// Printf("%f %f", peakYield2[i], baselineValues2[i]);
+
+ c->cd(i+1+8);
+ TH2* clone = (TH2*) hist[i]->Clone();
+ clone->Divide(hist2[i]);
+// clone->Add(hist2[i], -1);
+ clone->DrawCopy("COLZ");
+ gPad->SetRightMargin(0.15);
+
+/* baselineValues1[i] = clone->Integral(1, clone->GetNbinsX(), clone->GetYaxis()->FindBin(-0.99), clone->GetYaxis()->FindBin(0.99)) / clone->GetNbinsX() / (clone->GetYaxis()->FindBin(0.99) - clone->GetYaxis()->FindBin(-0.99) + 1);
+ peakYield1[i] = clone->Integral(clone->GetXaxis()->FindBin(-0.5), clone->GetXaxis()->FindBin(0.5), clone->GetYaxis()->FindBin(-0.49), clone->GetYaxis()->FindBin(0.49)) / (clone->GetXaxis()->FindBin(0.5) - clone->GetXaxis()->FindBin(-0.5) + 1) / (clone->GetYaxis()->FindBin(0.49) - clone->GetYaxis()->FindBin(-0.49) + 1);*/
+
+// break;
+ }
+
+ for (Int_t i=0; i<4; i++)
+ {
+ Printf("%d: %f %f", i, peakYield1[i] / peakYield2[i] - 1, baselineValues1[i] / baselineValues2[i] - 1);
+// Printf("%d: %f %f", i, peakYield1[i] - 1, baselineValues1[i] - 1);
+ }
+}
+
+void CorrelatedContaminationEffect(const char* fileName, const char* fileNameCorrected = "corrected.root", Int_t bin = 0, Int_t startStep = 8)
+{
+ Int_t centralityFrom = 0;
+ Int_t centralityTo = 80;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ Float_t ptTrigBegin = 2.01;
+ Float_t ptTrigEnd = 3.99;
+
+ if (bin == 1)
+ {
+ ptTrigBegin = 1.01;
+ ptTrigEnd = 1.99;
+ }
+ else if (bin == 2)
+ {
+ gpTMin = 0.51;
+ gpTMax = 0.99;
+ ptTrigBegin = 1.01;
+ ptTrigEnd = 1.99;
+ }
+ else if (bin == 3)
+ {
+ ptTrigBegin = 4.01;
+ ptTrigEnd = 7.99;
+ }
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileNameCorrected);
+ hMixed2 = (AliUEHistograms*) GetUEHistogram(fileNameCorrected, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+ SetupRanges(h2);
+ SetupRanges(hMixed2);
+
+ TH1* hist[6];
+
+ Int_t maxFilled = 5;
+ GetSumOfRatios(h, hMixed, &hist[0], 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[1], 4, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[2], 5, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[3], 6, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+ GetSumOfRatios(h, hMixed, &hist[4], startStep, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+// GetSumOfRatios(h2, hMixed2, &hist[5], startStep, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd);
+
+// GetDistAndFlow(h, hMixed, &hist[0], 0, 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 0);
+// GetDistAndFlow(h, hMixed, &hist[1], 0, 4, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 6);
+// GetDistAndFlow(h, hMixed, &hist[2], 0, 5, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 6);
+// GetDistAndFlow(h, hMixed, &hist[3], 0, 6, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, 6);
+// GetDistAndFlow(h, hMixed, &hist[4], 0, startStep, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+// GetDistAndFlow(h2, hMixed2, &hist[5], 0, 0, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE, startStep);
+
+ c = new TCanvas("c", "c", 1600, 1000);
+ c->Divide(6, 2);
+
+ for (Int_t i=0; i<maxFilled; i++)
+ {
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist[i]->Scale(1.0 / hist[i]->GetYaxis()->GetBinWidth(1));
+
+ ((TH2*) hist[i])->Rebin2D(2, 2); hist[i]->Scale(0.25);
+// ((TH2*) hist[i])->Rebin2D(2, 2); hist[i]->Scale(0.25);
+
+ c->cd(i+1);
+ hist[i]->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist[i]->GetXaxis()->SetTitleOffset(1.5);
+ hist[i]->GetYaxis()->SetTitleOffset(2);
+ hist[i]->GetZaxis()->SetTitleOffset(1.8);
+ hist[i]->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist[i]->SetStats(kFALSE);
+ hist[i]->DrawCopy("SURF1");
+ }
+
+ for (Int_t i=1; i<maxFilled; i++)
+ {
+ TH2* clone = (TH2*) hist[i]->Clone();
+ if (i < 4)
+ clone->Divide(hist[i-1]);
+ else if (i < 5)
+ clone->Divide(hist[2]);
+ else
+ clone->Divide(hist[0]);
+
+ c->cd(6+i);
+ gPad->SetRightMargin(0.15);
+ // hist1->SetTitle("");
+// clone->GetZaxis()->SetRangeUser(0.8, 1.2);
+ clone->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ clone->SetStats(kFALSE);
+ clone->DrawCopy("COLZ");
+ }
+
+ Float_t peakYield[6];
+ Float_t baselineValues[6];
+ for (Int_t i=0; i<maxFilled; i++)
+ {
+ Int_t phi1 = hist[i]->GetXaxis()->FindBin(-1);
+ Int_t phi2 = hist[i]->GetXaxis()->FindBin(1);
+ Int_t eta1 = hist[i]->GetYaxis()->FindBin(-1.59);
+ Int_t eta2 = hist[i]->GetYaxis()->FindBin(1.01);
+ Int_t eta3 = hist[i]->GetYaxis()->FindBin(1.59);
+ Float_t baseline = ((TH2*) hist[i])->Integral(phi1, phi2, eta2, eta3, "width") / (phi2 - phi1 + 1) / (eta3 - eta2 + 1);
+ Float_t peak = ((TH2*) hist[i])->Integral(phi1, phi2, eta1, eta3, "width");
+ Printf("%f %f", baseline, peak);
+ peak -= baseline * (eta3 - eta1 + 1) * (phi2 - phi1 + 1);
+ Printf("%f", peak);
+ peakYield[i] = peak;
+ baselineValues[i] = baseline;
+ }
+
+ for (Int_t i=1; i<maxFilled; i++)
+ {
+ if (i < 4)
+ Printf("%d/%d: %f %f", i, i-1, peakYield[i] / peakYield[i-1] - 1, baselineValues[i] / baselineValues[i-1] - 1);
+ else if (i < 5)
+ Printf("%d/%d: %f %f", i, 2, peakYield[i] / peakYield[2] - 1, baselineValues[i] / baselineValues[2] - 1);
+ else
+ Printf("%d/%d: %f %f", 0, i, peakYield[0] / peakYield[i] - 1, baselineValues[0] / baselineValues[i] - 1);
+ }
+
+ c = new TCanvas("c2", "c2", 1600, 1000);
+ c->Divide(6, 2);
+ for (Int_t i=0; i<maxFilled; i++)
+ {
+ c->cd(i+1);
+ hist[i]->DrawCopy("SURF1");
+
+ TF2* func2 = new TF2("func2", "[0]+[1]*exp(-0.5*((x/[2])**2+(y/[3])**2))", -0.5 * TMath::Pi(), 0.5 * TMath::Pi(), -1.4, 1.4);
+ func2->SetParameters(0, 1, 0.5, 0.5);
+// func2->SetParLimits(1, 0, 10);
+// func2->SetParLimits(2, sigmaFitLimit, 1);
+// func2->SetParLimits(3, sigmaFitLimit, 1);
+ hist[i]->Fit(func2, "0R");
+
+ c->cd(i+7);
+ func2->DrawClone("SURF1");
+
+ baselineValues[i] = func2->GetParameter(0);
+ func2->SetParameter(0, 0);
+ peakYield[i] = func2->Integral(-0.5 * TMath::Pi(), 0.5 * TMath::Pi(), -1.4, 1.4);
+ Printf("%f %f", peakYield[i], baselineValues[i]);
+ }
+
+ for (Int_t i=1; i<maxFilled; i++)
+ {
+ if (i < 4)
+ Printf("%d/%d: %f %f", i, i-1, peakYield[i] / peakYield[i-1] - 1, baselineValues[i] / baselineValues[i-1] - 1);
+ else if (i < 5)
+ Printf("%d/%d: %f %f", i, 2, peakYield[i] / peakYield[2] - 1, baselineValues[i] / baselineValues[2] - 1);
+ else
+ Printf("%d/%d: %f %f", 0, i, peakYield[0] / peakYield[i] - 1, baselineValues[0] / baselineValues[i] - 1);
+ }
+
+ for (Int_t i=1; i<maxFilled; i++)
+ {
+ Printf("%d/%d: %f %f", 0, i, peakYield[0] / peakYield[i] - 1, baselineValues[0] / baselineValues[i] - 1);
+ }
+}
+
+void DrawValidation2D(const char* fileName, const char* fileNameCorrected = "corrected.root", Int_t startStep = 8)
+{
+ Int_t centralityTo = 80;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist1 = 0;
+ GetDistAndFlow(h, hMixed, &hist1, 0, 0, 0, centralityTo, 2.01, 3.99, 1, kTRUE, 0, kTRUE, 0);
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist1->Scale(1.0 / hist1->GetYaxis()->GetBinWidth(1));
+
+// ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+ ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+
+// NormalizeToBinWidth(hist1);
+
+ c = new TCanvas("c", "c", 1000, 1000);
+ c->Divide(2, 2);
+
+ c->cd(1);
+ gPad->SetLeftMargin(0.15);
+// hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->GetZaxis()->SetTitleOffset(1.8);
+ hist1->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+ DrawLatex(0.1, 0.85, 1, "MC", 0.04);
+// DrawALICELogo(kFALSE, 0.7, 0.7, 0.9, 0.9);
+
+ hist2 = hist1;
+ hist1 = 0;
+ GetDistAndFlow(h, hMixed, &hist1, 0, startStep, 0, centralityTo, 2.01, 3.99, 1, kTRUE, 0, kTRUE, startStep);
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist1->Scale(1.0 / hist1->GetYaxis()->GetBinWidth(1));
+
+// ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+ ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+// NormalizeToBinWidth(hist1);
+
+ c->cd(2);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->GetZaxis()->SetTitleOffset(1.8);
+ hist1->SetStats(kFALSE);
+ hist1->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist1->DrawCopy("SURF1");
+ DrawLatex(0.1, 0.85, 1, "Uncorrected", 0.04);
+// DrawALICELogo(kFALSE, 0.7, 0.7, 0.9, 0.9);
+
+ c2 = new TCanvas("c3", "c3", 800, 800);
+// hist2->Scale(1.09);
+ hist1->Divide(hist2);
+// hist1->Add(hist2, -1);
+ hist1->DrawCopy("SURF1");
+
+// return;
+
+// AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram("LHC11a10a_bis_AOD090_120406_zvtx_rebinned_corrected.root");
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileNameCorrected);
+ SetupRanges(h2);
+
+ GetDistAndFlow(h2, hMixed, &hist1, 0, 0, 0, centralityTo, 2.01, 3.99, 1, kTRUE, 0, kTRUE, startStep);
+ // NOTE fix normalization. these 2d correlations come out of AliUEHist normalized by dphi bin width, but not deta
+ hist1->Scale(1.0 / hist1->GetYaxis()->GetBinWidth(1));
+
+ ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+// ((TH2*) hist1)->Rebin2D(2, 2); hist1->Scale(0.25);
+
+ c->cd(3);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetZaxis()->SetTitleOffset(1.8);
+ hist1->GetZaxis()->SetTitle("1/N_{trig} dN_{assoc}/d#Delta#etad#Delta#varphi (1/rad.)");
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+ DrawLatex(0.1, 0.85, 1, "Corrected", 0.04);
+// DrawALICELogo(kFALSE, 0.7, 0.7, 0.9, 0.9);
+
+ hist1->Divide(hist2);
+
+ c->cd(4);
+ gPad->SetRightMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.59, 1.59);
+ hist1->GetXaxis()->SetTitleOffset(1.2);
+ hist1->GetYaxis()->SetTitleOffset(1.2);
+ hist1->GetZaxis()->SetTitle("Ratio: Corrected / MC");
+ hist1->SetStats(kFALSE);
+ hist1->GetZaxis()->SetRangeUser(0.99, 1.01);
+ hist1->DrawCopy("COLZ");
+
+// DrawALICELogo(kFALSE, 0.7, 0.7, 0.9, 0.9);
+
+ c->SaveAs("validation.eps");
+ c->SaveAs("validation.gif");
+}
+
+void DrawValidation(const char* fileName1, const char* fileName2)
+{
+ gpTMin = 1.01;
+ gpTMax = 3.99;
+
+ CompareStep(fileName1, fileName2, 2, 6, 4, 0, 4.01, 19.99);
+ CompareStep(fileName1, fileName2, 2, 4, 4, 0, 4.01, 19.99);
+
+ CompareStep(fileName1, fileName2, 2, 4, 2, 0, 4.01, 19.99);
+ CompareStep(fileName1, fileName2, 2, 2, 2, 0, 4.01, 19.99);
+}
+
+void ProfileMultiplicity(const char* fileName = "PWG4_JetTasksOutput.root")
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ new TCanvas;
+ h->GetCorrelationMultiplicity()->Draw("colz");
+ gPad->SetLogz();
+
+ new TCanvas;
+ h->GetCorrelationMultiplicity()->ProfileX()->DrawCopy()->Fit("pol1", "", "", 1, 10);
+}
+
+void SetupRanges(void* obj)
+{
+ if (!obj)
+ return;
+ ((AliUEHistograms*) obj)->SetEtaRange(0, 0);
+// ((AliUEHistograms*) obj)->SetEtaRange(-0.99, 0.99); Printf("WARNING: Setting eta Range!");
+ ((AliUEHistograms*) obj)->SetPtRange(gpTMin, gpTMax);
+ ((AliUEHistograms*) obj)->SetCombineMinMax(kTRUE);
+}
+
+void DrawRatios(const char* name, void* correctedVoid, void* comparisonVoid, Int_t compareStep = -1, Int_t compareRegion = 2, Float_t ptLeadMin = -1, Float_t ptLeadMax = -1)
+{
+ AliUEHist* corrected = (AliUEHist*) correctedVoid;
+ AliUEHist* comparison = (AliUEHist*) comparisonVoid;
+
+ Int_t beginStep = AliUEHist::kCFStepAll;
+ Int_t endStep = AliUEHist::kCFStepReconstructed;
+
+ if (compareStep != -1)
+ {
+ beginStep = compareStep;
+ endStep = compareStep;
+ }
+
+ Int_t beginRegion = 0;
+ Int_t endRegion = 2;
+
+ if (compareRegion != -1)
+ {
+ beginRegion = compareRegion;
+ endRegion = compareRegion;
+ }
+
+ for (Int_t step=beginStep; step<=endStep; step++)
+ {
+ if (compareStep == -1 && (step == AliUEHist::kCFStepAnaTopology || step == AliUEHist::kCFStepTriggered))
+ continue;
+
+ for (Int_t region=beginRegion; region <= endRegion; region++)
+ {
+ Printf("%f %f", ptLeadMin, ptLeadMax);
+ TH1* corrHist = corrected->GetUEHist(step, region, ptLeadMin, ptLeadMax);
+ TH1* mcHist = comparison->GetUEHist(step, region, ptLeadMin, ptLeadMax);
+
+ DrawRatio(corrHist, mcHist, TString(Form("%s: step %d %s %s", name, step, corrected->GetStepTitle(step), corrected->GetRegionTitle(region))));
+ }
+ }
+}
+
+void DrawRatios(void* correctedVoid, void* comparisonVoid, Int_t compareStep = -1, Int_t compareRegion = 2, Int_t compareUEHist = 0)
+{
+ AliUEHistograms* corrected = (AliUEHistograms*) correctedVoid;
+ AliUEHistograms* comparison = (AliUEHistograms*) comparisonVoid;
+
+ if (1 && compareUEHist == 2)
+ {
+ for (Float_t ptMin = 2.01; ptMin < 8; ptMin += 2)
+ {
+ ((AliUEHistograms*) corrected)->SetPtRange(ptMin, ptMin + 1.98);
+ ((AliUEHistograms*) comparison)->SetPtRange(ptMin, ptMin + 1.98);
+
+ DrawRatios(TString(Form("Dphi %d pT %f", compareUEHist, ptMin)), corrected->GetUEHist(compareUEHist), comparison->GetUEHist(compareUEHist), compareStep, compareRegion, 8.01, 19.99);
+ }
+ return;
+ }
+
+ if (compareUEHist == -1)
+ {
+ for (Int_t i=0; i<2; i++)
+ DrawRatios(TString(Form("UE %d", i)), corrected->GetUEHist(i), comparison->GetUEHist(i), compareStep, compareRegion);
+ }
+ else
+ DrawRatios(TString(Form("UE %d", compareUEHist)), corrected->GetUEHist(compareUEHist), comparison->GetUEHist(compareUEHist), compareStep, compareRegion);
+}
+
+void CompareEventsTracks(void* corrVoid, void* mcVoid, Int_t compareStep, Int_t compareRegion, Int_t compareUEHist = 0)
+{
+ AliUEHist* corr = ((AliUEHistograms*) corrVoid)->GetUEHist(compareUEHist);
+ AliUEHist* mc = ((AliUEHistograms*) mcVoid)->GetUEHist(compareUEHist);
+
+ Float_t ptLeadMin = 0;
+ Float_t ptLeadMax = -1;
+ Int_t axis = 2;
+
+ if (compareUEHist == 2)
+ {
+ ptLeadMin = 1.01;
+ ptLeadMax = 1.49;
+ axis = 4;
+ }
+
+ TH1* corrHist = corr->GetUEHist(compareStep, compareRegion, ptLeadMin, ptLeadMax);
+ TH1* mcHist = mc ->GetUEHist(compareStep, compareRegion, ptLeadMin, ptLeadMax);
+
+ DrawRatio(corrHist, mcHist, Form("check"));
+
+ corr->SetBinLimits(corr->GetTrackHist(compareRegion)->GetGrid(compareStep));
+ mc->SetBinLimits(corr->GetTrackHist(compareRegion)->GetGrid(compareStep));
+
+ corrHist = corr->GetTrackHist(compareRegion)->GetGrid(compareStep)->Project(axis);
+ mcHist = mc ->GetTrackHist(compareRegion)->GetGrid(compareStep)->Project(axis);
+ DrawRatio(corrHist, mcHist, Form("check2"));
+
+ corrHist = corr->GetEventHist()->GetGrid(compareStep)->Project(0);
+ mcHist = mc ->GetEventHist()->GetGrid(compareStep)->Project(0);
+ DrawRatio(corrHist, mcHist, Form("check3"));
+}
+
+void CopyReconstructedData(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ // copy
+ AliUEHistograms* onlyRec = (AliUEHistograms*) h->Clone();
+ onlyRec->Reset();
+ onlyRec->CopyReconstructedData(h);
+
+ AliUEHistograms* onlyRecMixed = (AliUEHistograms*) hMixed->Clone();
+ onlyRecMixed->Reset();
+ onlyRecMixed->CopyReconstructedData(hMixed);
+
+ TString newFileName(fileName);
+ newFileName.ReplaceAll(".root", "");
+ newFileName += "_onlyreco.root";
+
+ list = new TList;
+ list->Add(onlyRec);
+ list->Add(onlyRecMixed);
+
+ file3 = TFile::Open(newFileName, "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+}
+
+void correctMC(const char* fileNameCorrections, const char* fileNameESD = 0, Int_t compareStep = -1, Int_t compareRegion = 2, Int_t compareUEHist = 0)
+{
+ // corrects the reconstructed step in fileNameESD with fileNameCorr
+ // if fileNameESD is 0 data from fileNameCorr is taken
+ // afterwards the corrected distributions are compared with the MC stored in fileNameESD
+
+ loadlibs();
+
+ AliUEHistograms* corr = (AliUEHistograms*) GetUEHistogram(fileNameCorrections);
+ SetupRanges(corr);
+
+ corr->ExtendTrackingEfficiency();
+
+ AliUEHistograms* testSample = corr;
+ if (fileNameESD)
+ testSample = (AliUEHistograms*) GetUEHistogram(fileNameESD);
+
+ // copy to esd object
+ AliUEHistograms* esd = (AliUEHistograms*) corr->Clone();
+ esd->Reset();
+ esd->CopyReconstructedData(testSample);
+
+ SetupRanges(corr);
+ SetupRanges(testSample);
+ SetupRanges(esd);
+
+ esd->Correct(corr);
+
+ list = new TList;
+ list->Add(esd);
+
+ file3 = TFile::Open("correctedMC.root", "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+
+ if (1)
+ DrawRatios(esd, testSample, compareStep, compareRegion, compareUEHist);
+
+ if (1)
+ {
+ esd->SetPtRange(2.01, 3.99);
+ corrected = esd->GetUEHist(2)->GetUEHist(0, 0, 4.01, 7.99, 0, -1, 1);
+ testSample->SetPtRange(2.01, 3.99);
+ mc = testSample->GetUEHist(2)->GetUEHist(0, 0, 4.01, 7.99, 0, -1, 1);
+ new TCanvas; corrected->DrawCopy("SURF1");
+ new TCanvas; mc->DrawCopy("SURF1");
+ new TCanvas; mc->DrawCopy("SURF1")->Divide(corrected);
+ }
+
+ //CompareEventsTracks(esd, testSample, compareStep, compareRegion, compareUEHist);
+}
+
+// function to compare only final step for all regions and distributions
+
+void correctData(const char* fileNameCorrections, const char* fileNameESD, const char* contEnhancement = 0, Float_t contEncUpTo = 1.0, Int_t compareStep = 0, Int_t compareRegion = 0, Int_t compareUEHist = 2)
+{
+ // corrects fileNameESD with fileNameCorrections and compares the two
+
+ loadlibs();
+
+ AliUEHistograms* corr = (AliUEHistograms*) GetUEHistogram(fileNameCorrections);
+
+ TList* list = 0;
+ AliUEHistograms* esd = (AliUEHistograms*) GetUEHistogram(fileNameESD, &list);
+
+ SetupRanges(corr);
+ SetupRanges(esd);
+
+ Float_t etaRange = 1.2;
+ Printf(">>>>> Using eta range: |eta| < %f", etaRange);
+ corr->SetEtaRange(-etaRange+0.01, etaRange-0.01);
+ corr->ExtendTrackingEfficiency(0);
+
+// corr->GetUEHist(2)->GetTrackEfficiency(AliUEHist::kCFStepTracked, AliUEHist::kCFStepTrackedOnlyPrim, 1, -1, 2);
+// return;
+
+ if (contEnhancement)
+ {
+ TFile::Open(contEnhancement);
+ contEncHist = (TH1*) gFile->Get("histo");
+ contEncHistFullRange = (TH1*) corr->GetUEHist(0)->GetTrackingEfficiency(1)->Clone("contEncHistFullRange");
+
+ contEncHistFullRange->Reset();
+ for (Int_t i=1; i<=contEncHistFullRange->GetNbinsX(); i++)
+ {
+ contEncHistFullRange->SetBinContent(i, 1);
+ if (i <= contEncHist->GetNbinsX() && contEncHist->GetXaxis()->GetBinCenter(i) < contEncUpTo && contEncHist->GetBinContent(i) > 0)
+ contEncHistFullRange->SetBinContent(i, contEncHist->GetBinContent(i));
+ }
+ corr->SetContaminationEnhancement((TH1F*) contEncHistFullRange);
+ }
+
+ esd->Correct(corr);
+ //esd->GetUEHist(2)->AdditionalDPhiCorrection(0);
+
+ file3 = TFile::Open("corrected.root", "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+
+// DrawRatios(esd, corr, compareStep, compareRegion, compareUEHist);
+}
+
+void ITSTPCEfficiency(const char* fileNameData, Int_t id, Int_t itsTPC = 0)
+{
+ // its = 0; tpc = 1
+
+ // uncertainty from dN/dpT paper
+ Double_t pTBins[] = {0.0, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 100.0};
+ Float_t effITS[] = {0., 0., 0.995, 0.98, 0.986, 0.996, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, }; // the last three are the same because i don't have entries
+ Float_t effTPC[] = {0., 0, 1.042, 1.026,1.021, 1.018, 1.015, 1.015, 1.012, 1.012, 1.007, 1.0075,1.006, 1.006, 1.004, 1.004, 1.009 }; // the last bins put as if they were the same
+
+ TH1F* effHist = new TH1F("effHist", "effHist", 39, pTBins);
+ for (Int_t i=0; i<39; i++)
+ {
+ Int_t bin = i;
+ if (i > 16)
+ bin = 16;
+ effHist->SetBinContent(i+1, (itsTPC == 0) ? effITS[bin] : effTPC[bin]);
+ }
+
+ new TCanvas; effHist->Draw();
+
+ EffectOfModifiedTrackingEfficiency(fileNameData, id, 2, effHist, 1, -1, (itsTPC == 0) ? "ITS" : "TPC");
+}
+
+
+void EffectOfModifiedTrackingEfficiency(const char* fileNameData, Int_t id, Int_t region, TH1* trackingEff, Int_t axis1, Int_t axis2 = -1, const char* name = "EffectOfModifiedTrackingEfficiency")
+{
+ // trackingEff should contain the change in tracking efficiency, i.e. between before and after in the eta-pT plane
+
+ loadlibs();
+
+ AliUEHistograms* corrected = (AliUEHistograms*) GetUEHistogram(fileNameData);
+ SetupRanges(corrected);
+
+ AliUEHist* ueHist = corrected->GetUEHist(id);
+
+ Float_t ptLeadMin = -1;
+ Float_t ptLeadMax = -1;
+ if (id == 2)
+ {
+ // the uncertainty is flat in delta phi, so use this trick to get directly the uncertainty as function of leading pT
+ //ptLeadMin = 1.01;
+ //ptLeadMax = 1.99;
+ }
+
+ // histogram before
+ TH1* before = ueHist->GetUEHist(AliUEHist::kCFStepAll, region, ptLeadMin, ptLeadMax);
+
+ // copy histogram
+ // the CFStepTriggered step is overwritten here and cannot be used for comparison afterwards anymore
+ ueHist->CorrectTracks(AliUEHist::kCFStepAll, AliUEHist::kCFStepTriggered, (TH1*) 0, 0, -1);
+
+ // reapply tracking efficiency
+ ueHist->CorrectTracks(AliUEHist::kCFStepTriggered, AliUEHist::kCFStepAll, trackingEff, axis1, axis2);
+
+ // histogram after
+ TH1* after = ueHist->GetUEHist(AliUEHist::kCFStepAll, region, ptLeadMin, ptLeadMax);
+
+ DrawRatio(before, after, name);
+ gPad->GetCanvas()->SaveAs(Form("%s.png", name));
+}
+
+void EffectOfTrackCuts(const char* fileNameData, Int_t id, const char* systFile)
+{
+ loadlibs();
+
+ AliUEHistograms* corrected = (AliUEHistograms*) GetUEHistogram(fileNameData);
+ effHist = (TH2D*) corrected->GetUEHist(0)->GetTrackingEfficiency()->Clone("effHist");
+
+ file = TFile::Open(systFile);
+
+ Int_t maxSyst = 3;
+ const char* systNames[] = { "NClusTPC", "Chi2TPC", "SigmaDCA" };
+
+ for (Int_t i=0; i<maxSyst; i++)
+ {
+ for (Int_t j=0; j<2; j++)
+ {
+ TString histName;
+ histName.Form("%s_syst_%s", systNames[i], (j == 0) ? "up" : "down");
+ systEffect = (TH2*) file->Get(histName);
+
+ // rebin
+ effHist->Reset();
+ for (Int_t x=1; x <= effHist->GetNbinsX(); x++)
+ for (Int_t y=1; y <= effHist->GetNbinsY(); y++)
+ effHist->SetBinContent(x, y, 1);
+
+ for (Int_t x=1; x <= systEffect->GetNbinsX(); x++)
+ for (Int_t y=1; y <= systEffect->GetNbinsY(); y++)
+ if (systEffect->GetBinContent(x, y) != 0)
+ effHist->SetBinContent(effHist->GetXaxis()->FindBin(systEffect->GetYaxis()->GetBinCenter(y)), effHist->GetYaxis()->FindBin(systEffect->GetXaxis()->GetBinCenter(x)), systEffect->GetBinContent(x, y));
+
+
+ //new TCanvas; systEffect->Draw("COLZ"); new TCanvas; effHist->Draw("COLZ");
+
+ EffectOfModifiedTrackingEfficiency(fileNameData, id, (id == 2) ? 0 : 2, effHist, 0, 1, histName);
+
+ //return;
+ }
+ }
+}
+
+void ModifyComposition(const char* fileNameData, const char* fileNameCorrections, Int_t id, Bool_t verbose = kFALSE)
+{
+ loadlibs();
+
+ AliUEHistograms* corrected = (AliUEHistograms*) GetUEHistogram(fileNameData);
+ SetupRanges(corrected);
+
+ AliUEHistograms* corrections = (AliUEHistograms*) GetUEHistogram(fileNameCorrections);
+ SetupRanges(corrections);
+
+ ueHistData = (AliUEHist*) corrected->GetUEHist(id);
+ ueHistCorrections = (AliUEHist*) corrections->GetUEHist(id);
+
+ // copy histogram
+ // the CFStepTriggered step is overwritten here and cannot be used for comparison afterwards anymore
+ ueHistData->CorrectTracks(AliUEHist::kCFStepAll, AliUEHist::kCFStepTriggered, (TH1*) 0, 0);
+
+ Int_t maxRegion = 3;
+ Float_t ptLeadMin = -1;
+ Float_t ptLeadMax = -1;
+ if (id == 2)
+ {
+ maxRegion = 1;
+ // the uncertainty is flat in delta phi, so use this trick to get directly the uncertainty as function of leading pT
+ //ptLeadMin = 1.01;
+ //ptLeadMax = 1.99;
+ }
+
+ // histogram before
+ TH1* before[3];
+ for (Int_t region=0; region<maxRegion; region++)
+ before[region] = ueHistData->GetUEHist(AliUEHist::kCFStepAll, region, ptLeadMin, ptLeadMax);
+
+ //defaultEff = ueHistCorrections->GetTrackingEfficiency();
+ defaultEff = ueHistCorrections->GetTrackingCorrection();
+ //defaultEffpT = ueHistCorrections->GetTrackingEfficiency(1);
+ defaultEffpT = ueHistCorrections->GetTrackingCorrection(1);
+ defaultContainer = ueHistCorrections->GetTrackHistEfficiency();
+
+ c = new TCanvas;
+ defaultEffpT->Draw("");
+
+ Float_t largestDeviation[3];
+ for (Int_t i=0; i<maxRegion; i++)
+ largestDeviation[i] = 0;
+
+ for (Int_t i=0; i<7; i++)
+ {
+ // case 0: // default
+ // case 1: // + 30% kaons
+ // case 2: // - 30% kaons
+ // case 3: // + 30% protons
+ // case 4: // - 30% protons
+ // case 5: // + 30% others
+ // case 6: // - 30% others
+ Int_t correctionIndex = (i+1) / 2 + 1; // bin 1 == protons, bin 2 == kaons, ...
+ Double_t scaleFactor = (i % 2 == 1) ? 1.3 : 0.7;
+ if (i == 0)
+ scaleFactor = 1;
+
+ newContainer = (AliCFContainer*) defaultContainer->Clone();
+
+ // modify, change all steps
+ for (Int_t j=0; j<newContainer->GetNStep(); j++)
+ {
+ THnSparse* grid = newContainer->GetGrid(j)->GetGrid();
+
+ for (Int_t binIdx = 0; binIdx < grid->GetNbins(); binIdx++)
+ {
+ Int_t bins[5];
+ Double_t value = grid->GetBinContent(binIdx, bins);
+ Double_t error = grid->GetBinError(binIdx);
+
+ if (bins[2] != correctionIndex)
+ continue;
+
+ value *= scaleFactor;
+ error *= scaleFactor;
+
+ grid->SetBinContent(bins, value);
+ grid->SetBinError(bins, error);
+ }
+ }
+
+ // put in corrections
+ ueHistCorrections->SetTrackHistEfficiency(newContainer);
+
+ // ratio
+ //modifiedEff = ueHistCorrections->GetTrackingEfficiency();
+ modifiedEff = ueHistCorrections->GetTrackingCorrection();
+ modifiedEff->Divide(modifiedEff, defaultEff);
+ //modifiedEff->Draw("COLZ");
+
+ c->cd();
+ //modifiedEffpT = ueHistCorrections->GetTrackingEfficiency(1);
+ modifiedEffpT = ueHistCorrections->GetTrackingCorrection(1);
+ modifiedEffpT->SetLineColor(i+1);
+ modifiedEffpT->Draw("SAME");
+
+ // apply change in tracking efficiency
+ ueHistData->CorrectTracks(AliUEHist::kCFStepTriggered, AliUEHist::kCFStepAll, modifiedEff, 0, 1);
+
+ for (Int_t region=0; region<maxRegion; region++)
+ {
+ // histogram after
+ TH1* after = ueHistData->GetUEHist(AliUEHist::kCFStepAll, region, ptLeadMin, ptLeadMax);
+
+ if (verbose)
+ DrawRatio(before[region], (TH1*) after->Clone(), Form("Region %d Composition %d", region, i));
+
+ // ratio is flat, extract deviation
+ after->Divide(before[region]);
+ after->Fit("pol0", "0");
+ Float_t deviation = 100.0 - 100.0 * after->GetFunction("pol0")->GetParameter(0);
+ Printf("Deviation for region %d case %d is %.2f %%", region, i, deviation);
+
+ if (TMath::Abs(deviation) > largestDeviation[region])
+ largestDeviation[region] = TMath::Abs(deviation);
+ }
+ //return;
+ }
+
+ for (Int_t i=0; i<maxRegion; i++)
+ Printf("Largest deviation in region %d is %f", i, largestDeviation[i]);
+}
+
+void MergeList(const char* prefix = "")
+{
+ loadlibs();
+ gSystem->Load("libPWGflowBase");
+ gSystem->Load("libPWGflowTasks");
+
+ ifstream in;
+ in.open("list");
+
+ TFileMerger m(0);
+
+ TString line;
+ while (in.good())
+ {
+ in >> line;
+
+ if (line.Length() == 0)
+ continue;
+
+ TString fileName;
+ fileName.Form("%s%s", prefix, line.Data());
+// fileName.Form("alien://%s", line.Data());
+ Printf("%s", fileName.Data());
+
+ m.AddFile(fileName);
+ }
+
+ m.SetFastMethod();
+ m.OutputFile("merged.root");
+ m.Merge();
+}
+
+void Merge2(const char* file1, const char* file2)
+{
+ loadlibs();
+ TFileMerger m(0);
+
+ m.AddFile(file1);
+ m.AddFile(file2);
+
+ m.SetFastMethod();
+ m.OutputFile("merged.root");
+ m.Merge();
+}
+
+void Merge3(const char* file1, const char* file2, const char* file3)
+{
+ loadlibs();
+ TFileMerger m(1);
+
+ m.AddFile(file1);
+ m.AddFile(file2);
+ m.AddFile(file3);
+
+ m.SetFastMethod();
+ m.OutputFile("merged.root");
+ m.Merge();
+}
+
+void MergeList2(const char* listFile, const char* dir, Bool_t onlyPrintEvents = kFALSE, const char* targetDir = "PWG4_LeadingTrackUE")
+{
+ loadlibs();
+
+ ifstream in;
+ in.open(listFile);
+
+ AliUEHistograms* final = 0;
+ TList* finalList = 0;
+
+ TString line;
+ while (in.good())
+ {
+ in >> line;
+
+ if (line.Length() == 0)
+ continue;
+
+ TString fileName;
+ fileName.Form("%s/%s/PWG4_JetTasksOutput.root", dir, line.Data());
+ Printf("%s", fileName.Data());
+
+ TList* list = 0;
+ AliUEHistograms* obj = (AliUEHistograms*) GetUEHistogram(fileName, &list);
+ if (!obj)
+ continue;
+
+ if (!final)
+ {
+ final = (AliUEHistograms*) obj;
+ //final->GetEventCount()->Draw(); return;
+ Printf("Events: %d", (Int_t) final->GetEventCount()->ProjectionX()->GetBinContent(4));
+ finalList = list;
+ }
+ else
+ {
+ additional = (AliUEHistograms*) obj;
+ Printf("Events: %d", (Int_t) additional->GetEventCount()->ProjectionX()->GetBinContent(4));
+
+ if (!onlyPrintEvents)
+ {
+ TList list2;
+ list2.Add(additional);
+ final->Merge(&list2);
+ }
+ delete additional;
+ gFile->Close();
+ }
+ }
+
+ if (onlyPrintEvents)
+ return;
+
+ Printf("Total events (at step 0): %d", (Int_t) final->GetEventCount()->ProjectionX()->GetBinContent(4));
+
+ file3 = TFile::Open("merged.root", "RECREATE");
+ file3->mkdir(targetDir);
+ file3->cd(targetDir);
+ finalList->Write(0, TObject::kSingleKey);
+ file3->Close();
+}
+
+void PlotAll(const char* correctedFile, const char* mcFile)
+{
+ gCache = 1;
+
+ if (gEnergy == 900)
+ {
+ Float_t range[] = { 1.5, 2 };
+ }
+ else
+ {
+ Float_t range[] = { 3, 10 };
+ }
+
+ for (Int_t id=0; id<3; id++)
+ {
+ if (id < 2)
+ gForceRange = range[id];
+ else
+ gForceRange = -1;
+
+ if (id < 2)
+ {
+ for (Int_t region=0; region<3; region++)
+ {
+ CompareStep(correctedFile, mcFile, id, 0, region);
+ gPad->GetCanvas()->SaveAs(Form("%s_%s_%d_%d.png", TString(correctedFile).Tokenize(".")->First()->GetName(), TString(mcFile).Tokenize(".")->First()->GetName(), id, region));
+ }
+ }
+ else
+ {
+ Float_t leadingPtArr[] = { 0.50, 2.0, 4.0, 6.0, 10.0, 20.0, 50.0 };
+ for (Int_t leadingPtID=0; leadingPtID<6; leadingPtID++)
+ {
+ CompareStep(correctedFile, mcFile, id, 0, 0, leadingPtArr[leadingPtID] + 0.01, leadingPtArr[leadingPtID+1] - 0.01);
+ gPad->GetCanvas()->SaveAs(Form("%s_%s_%d_%.2f_%.2f.png", TString(correctedFile).Tokenize(".")->First()->GetName(), TString(mcFile).Tokenize(".")->First()->GetName(), id, leadingPtArr[leadingPtID], leadingPtArr[leadingPtID+1]));
+ }
+ }
+ }
+}
+
+/*
+TGraph* GetFlow2040()
+{
+ // from first ALICE flow paper (provided by Raimond)
+ // http://www-library.desy.de/spires/find/hep/www?eprint=arXiv:1011.3914
+
+ // centrality 20-30%
+ Double_t xCumulant4th2030ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000,
+ 5.500000,7.000000,9.000000};
+ Double_t yCumulant4th2030ALICE[] = {0.000000,0.000000,0.030926,0.041076,0.052063,0.059429,0.070500,0.084461,0.086745,0.099254,
+ 0.109691,0.116398,0.130831,0.141959,0.158932,0.169680,0.171387,0.178858,0.171475,0.140358,
+ 0.000000,0.000000,0.000000};
+ Double_t xErrCumulant4th2030ALICE[23] = {0.};
+ Double_t yErrCumulant4th2030ALICE[] = {0.000000,0.000000,0.002857,0.003451,0.003567,0.003859,0.004609,0.004976,0.005412,0.006277,
+ 0.004748,0.005808,0.006896,0.007987,0.008683,0.008080,0.013278,0.018413,0.024873,0.026057,
+ 0.000000,0.000000,0.000000};
+ Int_t nPointsCumulant4th2030ALICE = sizeof(xCumulant4th2030ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant4th2030ALICE = new TGraphErrors(nPointsCumulant4th2030ALICE,xCumulant4th2030ALICE,yCumulant4th2030ALICE,
+ xErrCumulant4th2030ALICE,yErrCumulant4th2030ALICE);
+ Cumulant4th2030ALICE->SetMarkerStyle(kFullSquare);
+ Cumulant4th2030ALICE->SetMarkerColor(kRed);
+ Cumulant4th2030ALICE->SetMarkerSize(1.2);
+ Cumulant4th2030ALICE->SetFillStyle(1001);
+ Cumulant4th2030ALICE->SetFillColor(kRed-10);
+
+ //===================================================================================================================
+ // centrality 30-40%
+ Double_t xCumulant4th3040ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000,
+ 5.500000,7.000000,9.000000};
+ Double_t yCumulant4th3040ALICE[] = {0.000000,0.000000,0.037071,0.048566,0.061083,0.070910,0.078831,0.091396,0.102026,0.109691,
+ 0.124449,0.139819,0.155561,0.165701,0.173678,0.191149,0.202015,0.204540,0.212560,0.195885,
+ 0.000000,0.000000,0.000000};
+ Double_t xErrCumulant4th3040ALICE[23] = {0.};
+ Double_t yErrCumulant4th3040ALICE[] = {0.000000,0.000000,0.002992,0.003364,0.003669,0.003931,0.004698,0.005261,0.005446,0.006151,
+ 0.004980,0.005741,0.007198,0.008576,0.010868,0.009926,0.015269,0.020691,0.027601,0.031834,
+ 0.000000,0.000000,0.000000};
+ Int_t nPointsCumulant4th3040ALICE = sizeof(xCumulant4th3040ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant4th3040ALICE = new TGraphErrors(nPointsCumulant4th3040ALICE,xCumulant4th3040ALICE,yCumulant4th3040ALICE,
+ xErrCumulant4th3040ALICE,yErrCumulant4th3040ALICE);
+ Cumulant4th3040ALICE->SetMarkerStyle(kFullTriangleUp);
+ Cumulant4th3040ALICE->SetMarkerColor(kGreen+2);
+ Cumulant4th3040ALICE->SetMarkerSize(1.2);
+ Cumulant4th3040ALICE->SetFillStyle(1001);
+ Cumulant4th3040ALICE->SetFillColor(kGreen+2);
+
+ // build average between the two (for class 20-40%)
+ Double_t* yAverage = new Double_t[nPointsCumulant4th3040ALICE];
+ for (Int_t i=0; i<nPointsCumulant4th3040ALICE; i++)
+ yAverage[i] = (yCumulant4th2030ALICE[i] + yCumulant4th3040ALICE[i]) / 2;
+
+ // assume flow constant above highest pT; not neccessarily physically sound ;)
+ if (1)
+ {
+ yAverage[20] = yAverage[19];
+ xCumulant4th3040ALICE[20] = 100;
+ nPointsCumulant4th3040ALICE -= 2;
+ }
+
+ TGraph *flow2040 = new TGraph(nPointsCumulant4th3040ALICE,xCumulant4th3040ALICE,yAverage);
+
+ if (0)
+ {
+ flow2040->Draw("*A");
+ Cumulant4th2030ALICE->Draw("PSAME");
+ Cumulant4th3040ALICE->Draw("PSAME");
+ }
+
+ return flow2040;
+}
+*/
+
+/*
+TGraph* GetFlow1020()
+{
+ // from first ALICE flow paper (provided by Raimond)
+ // http://www-library.desy.de/spires/find/hep/www?eprint=arXiv:1011.3914
+
+ //===================================================================================================================
+ // centrality 10-20%
+ Double_t xCumulant4th1020ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000,
+ 5.500000,7.000000,9.000000};
+ Double_t yCumulant4th1020ALICE[] = {0.000000,0.000000,0.024075,0.031505,0.040413,0.044981,0.055358,0.060563,0.063378,0.070030,
+ 0.082692,0.091611,0.099641,0.107223,0.122376,0.131240,0.137425,0.146050,0.131365,0.124708,
+ 0.000000,0.000000,0.000000};
+ Double_t xErrCumulant4th1020ALICE[23] = {0.};
+ Double_t yErrCumulant4th1020ALICE[] = {0.000000,0.000000,0.002413,0.002931,0.003444,0.003950,0.004338,0.004835,0.005059,0.005586,
+ 0.004521,0.005278,0.005999,0.007072,0.008260,0.007279,0.011897,0.017409,0.023995,0.025701,
+ 0.000000,0.000000,0.000000};
+ Int_t nPointsCumulant4th1020ALICE = sizeof(xCumulant4th1020ALICE)/sizeof(Double_t);
+
+ // assume flow constant above highest pT; not neccessarily physically sound ;)
+ if (1)
+ {
+ yCumulant4th1020ALICE[20] = yCumulant4th1020ALICE[19];
+ xCumulant4th1020ALICE[20] = 100;
+ nPointsCumulant4th1020ALICE -= 2;
+ }
+
+ TGraphErrors *Cumulant4th1020ALICE = new TGraphErrors(nPointsCumulant4th1020ALICE,xCumulant4th1020ALICE,yCumulant4th1020ALICE,
+ xErrCumulant4th1020ALICE,yErrCumulant4th1020ALICE);
+
+ Cumulant4th1020ALICE->SetMarkerStyle(kFullCircle);
+ Cumulant4th1020ALICE->SetMarkerColor(kBlue);
+ Cumulant4th1020ALICE->SetMarkerSize(1.2);
+ Cumulant4th1020ALICE->SetFillStyle(1001);
+ Cumulant4th1020ALICE->SetFillColor(kBlue-10);
+
+ TGraph *flow1020 = new TGraph(nPointsCumulant4th1020ALICE,xCumulant4th1020ALICE,yCumulant4th1020ALICE);
+
+ if (0)
+ {
+ flow1020->Draw("*A");
+ Cumulant4th1020ALICE->Draw("PSAME");
+ }
+
+ return flow1020;
+}
+*/
+
+/*
+TGraph* GetFlow05()
+{
+ // takes flow measurement from 10-20% and scales by a factor extracted from Fig.3 in the ALICE flow paper
+ // factor = integrated flow in 0-5% / integrated flow in 10-20%
+
+ graph = GetFlow1020();
+ for (Int_t i=0; i<graph->GetN(); i++)
+ graph->GetY()[i] *= 0.016 / 0.055;
+
+ return graph;
+}
+*/
+TGraphErrors* GetFlow01_Rap02(Int_t n)
+{
+ // private communication 19.04.11, Raimond / Ante
+
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 0-1%, rapidity gap = 0.2:
+ const Int_t nPointsSP_0001ALICE_v2_etaGap02 = 18;
+ Double_t xSP_0001ALICE_v2_etaGap02[nPointsSP_0001ALICE_v2_etaGap02] = {0.250000,0.350000,0.450000,0.550000,0.650000,
+ 0.750000,0.850000,0.950000,1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t ySP_0001ALICE_v2_etaGap02[nPointsSP_0001ALICE_v2_etaGap02] = {0.009235,0.014105,0.017274,0.018245,0.023190,
+ 0.024871,0.028216,0.031506,0.034179,0.035337,0.039836,0.045261,0.043393,0.050693,0.056469,0.055247,0.049718,0.052748};
+ Double_t xErrSP_0001ALICE_v2_etaGap02[nPointsSP_0001ALICE_v2_etaGap02] = {0.};
+ Double_t yErrSP_0001ALICE_v2_etaGap02[nPointsSP_0001ALICE_v2_etaGap02] = {0.000515,0.000504,0.000532,0.000585,0.000641,
+ 0.000709,0.000788,0.000876,0.000723,0.000891,0.001098,0.001354,0.001671,0.001485,0.002463,0.004038,0.006441,0.008091};
+ TGraphErrors *SP_0001ALICE_v2_etaGap02 = new TGraphErrors(nPointsSP_0001ALICE_v2_etaGap02,xSP_0001ALICE_v2_etaGap02,
+ ySP_0001ALICE_v2_etaGap02,xErrSP_0001ALICE_v2_etaGap02,yErrSP_0001ALICE_v2_etaGap02);
+ SP_0001ALICE_v2_etaGap02->SetMarkerStyle(kFullCircle);
+ SP_0001ALICE_v2_etaGap02->SetMarkerColor(kBlue);
+ SP_0001ALICE_v2_etaGap02->SetFillStyle(1001);
+ SP_0001ALICE_v2_etaGap02->SetFillColor(kBlue-10);
+
+ return SP_0001ALICE_v2_etaGap02;
+ }
+
+ if (n == 3)
+ {
+ // v3{SP}(pt) for 0-1%, rapidity gap = 0.2:
+ const Int_t nPointsSP_0001ALICE_v3_etaGap02 = 18;
+ Double_t xSP_0001ALICE_v3_etaGap02[nPointsSP_0001ALICE_v3_etaGap02] = {0.250000,0.350000,0.450000,0.550000,0.650000,
+ 0.750000,0.850000,0.950000,1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t ySP_0001ALICE_v3_etaGap02[nPointsSP_0001ALICE_v3_etaGap02] = {0.005688,0.007222,0.010305,0.013795,0.016077,
+ 0.018693,0.022310,0.026991,0.030162,0.035119,0.043097,0.048201,0.058249,0.063273,0.079233,0.083465,0.087807,0.069577};
+ Double_t xErrSP_0001ALICE_v3_etaGap02[nPointsSP_0001ALICE_v3_etaGap02] = {0.};
+ Double_t yErrSP_0001ALICE_v3_etaGap02[nPointsSP_0001ALICE_v3_etaGap02] = {0.000585,0.000582,0.000614,0.000667,0.000734,
+ 0.000811,0.000898,0.000989,0.000817,0.001000,0.001234,0.001517,0.001874,0.001669,0.002765,0.004528,0.007202,0.009066};
+ TGraphErrors *SP_0001ALICE_v3_etaGap02 = new TGraphErrors(nPointsSP_0001ALICE_v3_etaGap02,xSP_0001ALICE_v3_etaGap02,ySP_0001ALICE_v3_etaGap02,
+ xErrSP_0001ALICE_v3_etaGap02,yErrSP_0001ALICE_v3_etaGap02);
+ SP_0001ALICE_v3_etaGap02->SetMarkerStyle(kFullTriangleUp);
+ SP_0001ALICE_v3_etaGap02->SetMarkerSize(1.4);
+ SP_0001ALICE_v3_etaGap02->SetMarkerColor(kGreen+2);
+ SP_0001ALICE_v3_etaGap02->SetFillStyle(1001);
+ SP_0001ALICE_v3_etaGap02->SetFillColor(kGreen-10);
+
+ return SP_0001ALICE_v3_etaGap02;
+ }
+
+ if (n == 4)
+ {
+ // v4{SP}(pt) for 0-1%, rapidity gap = 0.2:
+ const Int_t nPointsSP_0001ALICE_v4_etaGap02 = 18;
+ Double_t xSP_0001ALICE_v4_etaGap02[nPointsSP_0001ALICE_v4_etaGap02] = {0.250000,0.350000,0.450000,0.550000,0.650000,
+ 0.750000,0.850000,0.950000,1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t ySP_0001ALICE_v4_etaGap02[nPointsSP_0001ALICE_v4_etaGap02] = {0.001189,0.003540,0.004682,0.004210,0.007032,
+ 0.008627,0.010226,0.013671,0.016214,0.020054,0.023878,0.033939,0.033693,0.040006,0.055612,0.066287,0.074857,0.078751};
+ Double_t xErrSP_0001ALICE_v4_etaGap02[nPointsSP_0001ALICE_v4_etaGap02] = {0.};
+ Double_t yErrSP_0001ALICE_v4_etaGap02[nPointsSP_0001ALICE_v4_etaGap02] = {0.001035,0.001017,0.001081,0.001187,0.001299,
+ 0.001432,0.001590,0.001757,0.001443,0.001769,0.002175,0.002674,0.003296,0.002924,0.004844,0.007921,0.012524,0.015771};
+ TGraphErrors *SP_0001ALICE_v4_etaGap02 = new TGraphErrors(nPointsSP_0001ALICE_v4_etaGap02,xSP_0001ALICE_v4_etaGap02,ySP_0001ALICE_v4_etaGap02,
+ xErrSP_0001ALICE_v4_etaGap02,yErrSP_0001ALICE_v4_etaGap02);
+ SP_0001ALICE_v4_etaGap02->SetMarkerStyle(kFullSquare);
+ SP_0001ALICE_v4_etaGap02->SetMarkerColor(kRed);
+ SP_0001ALICE_v4_etaGap02->SetFillStyle(1001);
+ SP_0001ALICE_v4_etaGap02->SetFillColor(kRed-10);
+
+ return SP_0001ALICE_v4_etaGap02;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow01_Rap10(Int_t n)
+{
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 0-1%, rapidity gap = 1.0:
+ const Int_t nPointsSP_0001ALICE_v2_etaGap10 = 21;
+ Double_t xSP_0001ALICE_v2_etaGap10[nPointsSP_0001ALICE_v2_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,
+ 0.750000,0.850000,0.950000,1.100000,1.300000,1.500000,1.700000,1.900000,2.100000,2.300000,2.500000,2.700000,2.900000,
+ 3.250000,3.750000,4.500000};
+ Double_t ySP_0001ALICE_v2_etaGap10[nPointsSP_0001ALICE_v2_etaGap10] = {0.009129,0.013461,0.017567,0.018041,0.020384,
+ 0.023780,0.021647,0.029543,0.028912,0.029464,0.037016,0.044131,0.043135,0.047286,0.051983,0.049311,0.050472,0.046569,
+ 0.036905,0.054836,0.030527};
+ Double_t xErrSP_0001ALICE_v2_etaGap10[nPointsSP_0001ALICE_v2_etaGap10] = {0.};
+ Double_t yErrSP_0001ALICE_v2_etaGap10[nPointsSP_0001ALICE_v2_etaGap10] = {0.001179,0.001152,0.001219,0.001339,0.001480,
+ 0.001644,0.001831,0.002016,0.001662,0.002033,0.002497,0.003056,0.003777,0.004645,0.005713,0.007069,0.008540,0.010447,
+ 0.009145,0.014749,0.018698};
+ TGraphErrors *SP_0001ALICE_v2_etaGap10 = new TGraphErrors(nPointsSP_0001ALICE_v2_etaGap10,xSP_0001ALICE_v2_etaGap10,
+ ySP_0001ALICE_v2_etaGap10,xErrSP_0001ALICE_v2_etaGap10,yErrSP_0001ALICE_v2_etaGap10);
+ SP_0001ALICE_v2_etaGap10->SetMarkerStyle(kOpenCircle);
+ SP_0001ALICE_v2_etaGap10->SetMarkerColor(kBlue);
+ SP_0001ALICE_v2_etaGap10->SetFillStyle(1001);
+ SP_0001ALICE_v2_etaGap10->SetFillColor(kBlue-10);
+
+ return SP_0001ALICE_v2_etaGap10;
+ }
+
+ if (n == 3)
+ {
+ // v3{SP}(pt) for 0-1%, rapidity gap = 1.0:
+ const Int_t nPointsSP_0001ALICE_v3_etaGap10 = 18;
+ Double_t xSP_0001ALICE_v3_etaGap10[nPointsSP_0001ALICE_v3_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,
+ 0.750000,0.850000,0.950000,1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t ySP_0001ALICE_v3_etaGap10[nPointsSP_0001ALICE_v3_etaGap10] = {0.006373,0.008403,0.010848,0.011505,0.016728,
+ 0.018519,0.020163,0.027119,0.029315,0.036832,0.040974,0.043287,0.054395,0.060676,0.081763,0.074333,0.096016,0.074909};
+ Double_t xErrSP_0001ALICE_v3_etaGap10[nPointsSP_0001ALICE_v3_etaGap10] = {0.};
+ Double_t yErrSP_0001ALICE_v3_etaGap10[nPointsSP_0001ALICE_v3_etaGap10] = {0.001286,0.001269,0.001346,0.001474,0.001620,
+ 0.001796,0.001991,0.002187,0.001803,0.002203,0.002697,0.003316,0.004078,0.003640,0.006050,0.009873,0.015824,0.020174};
+ TGraphErrors *SP_0001ALICE_v3_etaGap10 = new TGraphErrors(nPointsSP_0001ALICE_v3_etaGap10,xSP_0001ALICE_v3_etaGap10,ySP_0001ALICE_v3_etaGap10,
+ xErrSP_0001ALICE_v3_etaGap10,yErrSP_0001ALICE_v3_etaGap10);
+ SP_0001ALICE_v3_etaGap10->SetMarkerStyle(kOpenTriangleUp);
+ SP_0001ALICE_v3_etaGap10->SetMarkerSize(1.2);
+ SP_0001ALICE_v3_etaGap10->SetMarkerColor(kGreen+2);
+ SP_0001ALICE_v3_etaGap10->SetFillStyle(1001);
+ SP_0001ALICE_v3_etaGap10->SetFillColor(kGreen-10);
+
+ return SP_0001ALICE_v3_etaGap10;
+ }
+
+ if (n == 4)
+ {
+ // v4{SP}(pt) for 0-1%, rapidity gap = 1.0:
+ const Int_t nPointsSP_0001ALICE_v4_etaGap10 = 11;
+ Double_t xSP_0001ALICE_v4_etaGap10[nPointsSP_0001ALICE_v4_etaGap10] = {0.300000,0.500000,0.700000,0.900000,1.200000,1.600000,2.000000,2.400000,2.800000,3.500000,4.500000};
+ Double_t ySP_0001ALICE_v4_etaGap10[nPointsSP_0001ALICE_v4_etaGap10] = {-0.000458,0.006444,0.005490,0.010870,0.018866,0.024370,0.029703,0.052505,0.060334,0.048189,0.128184};
+ Double_t xErrSP_0001ALICE_v4_etaGap10[nPointsSP_0001ALICE_v4_etaGap10] = {0.};
+ Double_t yErrSP_0001ALICE_v4_etaGap10[nPointsSP_0001ALICE_v4_etaGap10] = {0.001901,0.002012,0.002477,0.003014,0.002852,0.004297,0.006491,0.009846,0.014623,0.017120,0.040568};
+ TGraphErrors *SP_0001ALICE_v4_etaGap10 = new TGraphErrors(nPointsSP_0001ALICE_v4_etaGap10,xSP_0001ALICE_v4_etaGap10,ySP_0001ALICE_v4_etaGap10,
+ xErrSP_0001ALICE_v4_etaGap10,yErrSP_0001ALICE_v4_etaGap10);
+ SP_0001ALICE_v4_etaGap10->SetMarkerStyle(kOpenSquare);
+ SP_0001ALICE_v4_etaGap10->SetMarkerColor(kRed);
+ SP_0001ALICE_v4_etaGap10->SetFillStyle(1001);
+ SP_0001ALICE_v4_etaGap10->SetFillColor(kRed-10);
+
+ return SP_0001ALICE_v4_etaGap10;
+ }
+
+ if (n == 5)
+ {
+ // v5{SP}(pt) for 0-1%, rapidity gap = 1.0:
+ const Int_t nPointsSP_0001ALICE_v5_etaGap10 = 11;
+ Double_t xSP_0001ALICE_v5_etaGap10[nPointsSP_0001ALICE_v5_etaGap10] = {0.300000,0.500000,0.700000,0.900000,1.200000,1.600000,2.000000,2.400000,2.800000,3.500000,4.500000};
+ Double_t ySP_0001ALICE_v5_etaGap10[nPointsSP_0001ALICE_v5_etaGap10] = {0.007022,0.001344,0.008380,0.004298,-0.001444,0.014114,0.015012,0.041880,0.019820,0.042083,0.015268};
+ Double_t xErrSP_0001ALICE_v5_etaGap10[nPointsSP_0001ALICE_v5_etaGap10] = {0.};
+ Double_t yErrSP_0001ALICE_v5_etaGap10[nPointsSP_0001ALICE_v5_etaGap10] = {0.002713,0.003167,0.003741,0.004650,0.004525,0.006578,0.009986,0.015185,0.022535,0.026356,0.064773};
+ TGraphErrors *SP_0001ALICE_v5_etaGap10 = new TGraphErrors(nPointsSP_0001ALICE_v5_etaGap10,xSP_0001ALICE_v5_etaGap10,ySP_0001ALICE_v5_etaGap10,
+ xErrSP_0001ALICE_v5_etaGap10,yErrSP_0001ALICE_v5_etaGap10);
+ return SP_0001ALICE_v5_etaGap10;
+ }
+}
+
+TGraphErrors* GetFlow02_Rap10(Int_t n)
+{
+ // private communication 20.04.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 00-02%, eta gap = 1.0:
+ const Int_t nPointsSP_0002_v2_etaGap10 = 15;
+ Double_t xSP_0002_v2_etaGap10[nPointsSP_0002_v2_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,
+ 0.900000,1.100000,1.350000,1.650000,1.950000,2.250000,2.700000,3.500000,4.500000};
+ Double_t ySP_0002_v2_etaGap10[nPointsSP_0002_v2_etaGap10] = {0.010171,0.013190,0.017342,0.020629,0.022617,0.026549,
+ 0.027423,0.032261,0.037467,0.041001,0.045763,0.049327,0.049688,0.051480,0.038527};
+ Double_t xErrSP_0002_v2_etaGap10[nPointsSP_0002_v2_etaGap10] = {0.};
+ Double_t yErrSP_0002_v2_etaGap10[nPointsSP_0002_v2_etaGap10] = {0.000600,0.000590,0.000625,0.000683,0.000757,0.000839,
+ 0.000692,0.000848,0.000888,0.001209,0.001653,0.002252,0.002465,0.003968,0.009391};
+ TGraphErrors *SP_0002_v2_etaGap10 = new TGraphErrors(nPointsSP_0002_v2_etaGap10,xSP_0002_v2_etaGap10,ySP_0002_v2_etaGap10,
+ xErrSP_0002_v2_etaGap10,yErrSP_0002_v2_etaGap10);
+
+ return SP_0002_v2_etaGap10;
+ }
+
+ if (n == 3)
+ {
+ const Int_t nPointsSP_0002_v3_etaGap10 = 15;
+ Double_t xSP_0002_v3_etaGap10[nPointsSP_0002_v3_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,
+ 0.900000,1.100000,1.350000,1.650000,1.950000,2.250000,2.700000,3.500000,4.500000};
+ Double_t ySP_0002_v3_etaGap10[nPointsSP_0002_v3_etaGap10] = {0.006592,0.007286,0.012180,0.012242,0.017416,0.018393,
+ 0.024716,0.030980,0.037703,0.046558,0.051285,0.064613,0.074831,0.077093,0.082442};
+ Double_t xErrSP_0002_v3_etaGap10[nPointsSP_0002_v3_etaGap10] = {0.};
+ Double_t yErrSP_0002_v3_etaGap10[nPointsSP_0002_v3_etaGap10] = {0.000682,0.000676,0.000713,0.000782,0.000860,0.000953,
+ 0.000782,0.000957,0.001002,0.001361,0.001862,0.002541,0.002767,0.004466,0.010586};
+ TGraphErrors *SP_0002_v3_etaGap10 = new TGraphErrors(nPointsSP_0002_v3_etaGap10,xSP_0002_v3_etaGap10,ySP_0002_v3_etaGap10,
+ xErrSP_0002_v3_etaGap10,yErrSP_0002_v3_etaGap10);
+
+ return SP_0002_v3_etaGap10;
+ }
+
+ if (n == 4)
+ {
+ const Int_t nPointsSP_0002_v4_etaGap10 = 15;
+ Double_t xSP_0002_v4_etaGap10[nPointsSP_0002_v4_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,
+ 0.900000,1.100000,1.350000,1.650000,1.950000,2.250000,2.700000,3.500000,4.500000};
+ Double_t ySP_0002_v4_etaGap10[nPointsSP_0002_v4_etaGap10] = {-0.000533,0.001167,0.002081,0.005218,0.006826,0.008440,
+ 0.013009,0.014812,0.017125,0.030106,0.038279,0.050488,0.067640,0.071637,0.084239};
+ Double_t xErrSP_0002_v4_etaGap10[nPointsSP_0002_v4_etaGap10] = {0.};
+ Double_t yErrSP_0002_v4_etaGap10[nPointsSP_0002_v4_etaGap10] = {0.001427,0.001398,0.001482,0.001594,0.001758,0.001945,
+ 0.001593,0.001951,0.002046,0.002787,0.003802,0.005182,0.005663,0.009064,0.021449};
+ TGraphErrors *SP_0002_v4_etaGap10 = new TGraphErrors(nPointsSP_0002_v4_etaGap10,xSP_0002_v4_etaGap10,ySP_0002_v4_etaGap10,
+ xErrSP_0002_v4_etaGap10,yErrSP_0002_v4_etaGap10);
+ return SP_0002_v4_etaGap10;
+ }
+
+ if (n == 5)
+ {
+ // v5{SP}(pt) for 00-02%, eta gap = 0.2:
+ const Int_t nPointsSP_0002_v5_etaGap02 = 13;
+ Double_t xSP_0002_v5_etaGap02[nPointsSP_0002_v5_etaGap02] = {0.300000,0.500000,0.700000,0.900000,1.100000,1.300000,1.500000,
+ 1.700000,2.000000,2.550000,3.250000,3.950000,4.650000};
+ Double_t ySP_0002_v5_etaGap02[nPointsSP_0002_v5_etaGap02] = {0.000570,0.002922,0.002151,0.005256,0.006287,0.005849,0.009399,
+ 0.011420,0.012455,0.032134,0.057009,0.020607,0.013551};
+ Double_t xErrSP_0002_v5_etaGap02[nPointsSP_0002_v5_etaGap02] = {0.};
+ Double_t yErrSP_0002_v5_etaGap02[nPointsSP_0002_v5_etaGap02] = {0.001074,0.001155,0.001433,0.001725,0.002123,0.002608,0.003196,
+ 0.003930,0.003755,0.004869,0.009719,0.018353,0.031814};
+ TGraphErrors *SP_0002_v5_etaGap02 = new TGraphErrors(nPointsSP_0002_v5_etaGap02,xSP_0002_v5_etaGap02,ySP_0002_v5_etaGap02,
+ xErrSP_0002_v5_etaGap02,yErrSP_0002_v5_etaGap02);
+ return SP_0002_v5_etaGap02;
+ }
+}
+
+TGraphErrors* GetFlow02(Int_t n)
+{
+ // private communication 28.01.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt):
+ Double_t xCumulant2nd0002ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.250000,2.750000,3.250000,3.750000,4.250000,4.750000,5.500000,6.500000,7.500000,8.500000,
+ 9.500000};
+ Double_t yCumulant2nd0002ALICE_v2[] = {0.000000,0.000000,0.012173,0.015186,0.018580,0.021114,0.024646,0.027040,0.030269,0.032677,
+ 0.035332,0.037382,0.039228,0.040614,0.042460,0.044658,0.046246,0.050392,0.051436,0.054669,
+ 0.057330,0.063439,0.067425,0.060144,0.071260,0.070206,0.000000,0.000000,0.000000,0.000000,
+ 0.000000};
+ Double_t xErrCumulant2nd0002ALICE_v2[31] = {0.};
+ Double_t yErrCumulant2nd0002ALICE_v2[] = {0.000000,0.000000,0.000256,0.000259,0.000271,0.000296,0.000322,0.000357,0.000397,0.000438,
+ 0.000483,0.000529,0.000590,0.000639,0.000713,0.000793,0.000877,0.000976,0.001070,0.001197,
+ 0.000725,0.001265,0.002069,0.003156,0.004605,0.006543,0.000000,0.000000,0.000000,0.000000,
+ 0.000000};
+ Int_t nPointsCumulant2nd0002ALICE_v2 = sizeof(xCumulant2nd0002ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0002ALICE_v2 = new TGraphErrors(nPointsCumulant2nd0002ALICE_v2,xCumulant2nd0002ALICE_v2,yCumulant2nd0002ALICE_v2,
+ xErrCumulant2nd0002ALICE_v2,yErrCumulant2nd0002ALICE_v2);
+ Cumulant2nd0002ALICE_v2->SetMarkerStyle(kFullCircle);
+ Cumulant2nd0002ALICE_v2->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0002ALICE_v2;
+ }
+
+ if (n == 3)
+ {
+ // v3{2}(pt):
+ Double_t xCumulant2nd0002ALICE_v3[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.250000,2.750000,3.250000,3.750000,4.250000,4.750000,5.500000,6.500000,7.500000,8.500000,
+ 9.500000};
+ Double_t yCumulant2nd0002ALICE_v3[] = {0.000000,0.000000,0.007696,0.008994,0.010544,0.013269,0.016330,0.019234,0.023465,0.026803,
+ 0.029906,0.032211,0.035300,0.038158,0.041861,0.046002,0.049382,0.053574,0.055773,0.059420,
+ 0.069373,0.079922,0.090265,0.103583,0.111358,0.090740,0.000000,0.000000,0.000000,0.000000,
+ 0.000000};
+ Double_t xErrCumulant2nd0002ALICE_v3[31] = {0.};
+ Double_t yErrCumulant2nd0002ALICE_v3[] = {0.000000,0.000000,0.000318,0.000317,0.000333,0.000360,0.000392,0.000431,0.000476,0.000523,
+ 0.000575,0.000637,0.000707,0.000785,0.000878,0.000964,0.001064,0.001175,0.001320,0.001459,
+ 0.000889,0.001539,0.002530,0.003826,0.005614,0.007892,0.000000,0.000000,0.000000,0.000000,
+ 0.000000};
+ Int_t nPointsCumulant2nd0002ALICE_v3 = sizeof(xCumulant2nd0002ALICE_v3)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0002ALICE_v3 = new TGraphErrors(nPointsCumulant2nd0002ALICE_v3,xCumulant2nd0002ALICE_v3,yCumulant2nd0002ALICE_v3,
+ xErrCumulant2nd0002ALICE_v3,yErrCumulant2nd0002ALICE_v3);
+ Cumulant2nd0002ALICE_v3->SetMarkerStyle(kFullTriangleUp);
+ Cumulant2nd0002ALICE_v3->SetMarkerSize(1.2);
+ Cumulant2nd0002ALICE_v3->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd0002ALICE_v3;
+ }
+
+ if (n == 4)
+ {
+ // v4{2}(pt):
+ Double_t xCumulant2nd0002ALICE_v4[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.250000,2.750000,3.250000,3.750000,4.250000,4.750000,5.500000,6.500000,7.500000,8.500000,
+ 9.500000};
+ Double_t yCumulant2nd0002ALICE_v4[] = {0.000000,0.000000,0.005710,0.006014,0.004483,0.005453,0.007714,0.006837,0.009721,0.011288,
+ 0.012531,0.016461,0.016606,0.018587,0.022722,0.025497,0.025832,0.030994,0.030349,0.034730,
+ 0.045529,0.061153,0.074238,0.079307,0.088885,0.085218,0.000000,0.000000,0.000000,0.000000,
+ 0.000000};
+ Double_t xErrCumulant2nd0002ALICE_v4[31] = {0.};
+ Double_t yErrCumulant2nd0002ALICE_v4[] = {0.000000,0.000000,0.000488,0.000493,0.000523,0.000571,0.000609,0.000678,0.000742,0.000805,
+ 0.000903,0.000985,0.001100,0.001219,0.001352,0.001503,0.001682,0.001847,0.002060,0.002303,
+ 0.001400,0.002431,0.003974,0.006040,0.008901,0.012343,0.000000,0.000000,0.000000,0.000000,
+ 0.000000};
+ Int_t nPointsCumulant2nd0002ALICE_v4 = sizeof(xCumulant2nd0002ALICE_v4)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0002ALICE_v4 = new TGraphErrors(nPointsCumulant2nd0002ALICE_v4,xCumulant2nd0002ALICE_v4,yCumulant2nd0002ALICE_v4,
+ xErrCumulant2nd0002ALICE_v4,yErrCumulant2nd0002ALICE_v4);
+ Cumulant2nd0002ALICE_v4->SetMarkerStyle(kFullSquare);
+ Cumulant2nd0002ALICE_v4->SetMarkerColor(kRed);
+
+ return Cumulant2nd0002ALICE_v4;
+ }
+
+ return 0;
+}
+
+/* results up to 5 GeV/c
+
+TGraphErrors* GetFlow05(Int_t n)
+{
+ // private communication 02.02.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 0-5%:
+ Double_t xCumulant2nd0005ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd0005ALICE_v2[] = {0.000000,0.000000,0.013891,0.017693,0.021693,0.025323,0.029131,0.032443,0.035781,0.038256,
+ 0.042801,0.047705,0.053229,0.057387,0.062677,0.068815,0.077695,0.082058,0.082511,0.079791};
+ Double_t xErrCumulant2nd0005ALICE_v2[20] = {0.};
+ Double_t yErrCumulant2nd0005ALICE_v2[] = {0.000000,0.000000,0.000149,0.000150,0.000160,0.000174,0.000191,0.000211,0.000233,0.000257,
+ 0.000208,0.000254,0.000311,0.000377,0.000464,0.000419,0.000726,0.001180,0.001791,0.002131};
+ Int_t nPointsCumulant2nd0005ALICE_v2 = sizeof(xCumulant2nd0005ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0005ALICE_v2 = new TGraphErrors(nPointsCumulant2nd0005ALICE_v2,xCumulant2nd0005ALICE_v2,yCumulant2nd0005ALICE_v2,
+ xErrCumulant2nd0005ALICE_v2,yErrCumulant2nd0005ALICE_v2);
+ Cumulant2nd0005ALICE_v2->SetMarkerStyle(kFullCircle);
+ Cumulant2nd0005ALICE_v2->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0005ALICE_v2;
+ }
+
+ if (n == 3)
+ {
+ // v3{2}(pt) for 0-5%:
+ Double_t xCumulant2nd0005ALICE_v3[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd0005ALICE_v3[] = {0.000000,0.000000,0.007788,0.009472,0.011596,0.014618,0.017540,0.021020,0.024946,0.028004,
+ 0.032330,0.039491,0.046368,0.053620,0.060662,0.071750,0.086746,0.097857,0.103111,0.104796};
+ Double_t xErrCumulant2nd0005ALICE_v3[20] = {0.};
+ Double_t yErrCumulant2nd0005ALICE_v3[] = {0.000000,0.000000,0.000194,0.000192,0.000204,0.000221,0.000241,0.000265,0.000293,0.000323,
+ 0.000266,0.000323,0.000397,0.000486,0.000601,0.000545,0.000947,0.001541,0.002328,0.002777};
+ Int_t nPointsCumulant2nd0005ALICE_v3 = sizeof(xCumulant2nd0005ALICE_v3)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0005ALICE_v3 = new TGraphErrors(nPointsCumulant2nd0005ALICE_v3,xCumulant2nd0005ALICE_v3,yCumulant2nd0005ALICE_v3,
+ xErrCumulant2nd0005ALICE_v3,yErrCumulant2nd0005ALICE_v3);
+ Cumulant2nd0005ALICE_v3->SetMarkerStyle(kFullCircle);
+ Cumulant2nd0005ALICE_v3->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0005ALICE_v3;
+ }
+
+ if (n == 4)
+ {
+ // v4{2}(pt) for 0-5%:
+ Double_t xCumulant2nd0005ALICE_v4[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd0005ALICE_v4[] = {0.000000,0.000000,0.006121,0.006137,0.005598,0.005956,0.007262,0.007991,0.009159,0.012062,
+ 0.015085,0.019225,0.024782,0.030092,0.035708,0.046542,0.060077,0.076088,0.082964,0.085405};
+ Double_t xErrCumulant2nd0005ALICE_v4[20] = {0.};
+ Double_t yErrCumulant2nd0005ALICE_v4[] = {0.000000,0.000000,0.000275,0.000278,0.000294,0.000319,0.000346,0.000380,0.000419,0.000459,
+ 0.000378,0.000460,0.000570,0.000700,0.000865,0.000789,0.001370,0.002227,0.003370,0.004018};
+ Int_t nPointsCumulant2nd0005ALICE_v4 = sizeof(xCumulant2nd0005ALICE_v4)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0005ALICE_v4 = new TGraphErrors(nPointsCumulant2nd0005ALICE_v4,xCumulant2nd0005ALICE_v4,yCumulant2nd0005ALICE_v4,
+ xErrCumulant2nd0005ALICE_v4,yErrCumulant2nd0005ALICE_v4);
+ Cumulant2nd0005ALICE_v4->SetMarkerStyle(kFullCircle);
+ Cumulant2nd0005ALICE_v4->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0005ALICE_v4;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow510(Int_t n)
+{
+ // private communication 02.02.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 5-10%:
+ Double_t xCumulant2nd0510ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd0510ALICE_v2[] = {0.000000,0.000000,0.019872,0.026451,0.032901,0.039085,0.044930,0.050200,0.054887,0.060253,
+ 0.066587,0.075080,0.083303,0.090298,0.098782,0.109632,0.124486,0.129621,0.132076,0.120697};
+ Double_t xErrCumulant2nd0510ALICE_v2[20] = {0.};
+ Double_t yErrCumulant2nd0510ALICE_v2[] = {0.000000,0.000000,0.000150,0.000152,0.000163,0.000178,0.000196,0.000215,0.000237,0.000261,
+ 0.000213,0.000256,0.000313,0.000381,0.000468,0.000423,0.000727,0.001157,0.001741,0.002064};
+ Int_t nPointsCumulant2nd0510ALICE_v2 = sizeof(xCumulant2nd0510ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0510ALICE_v2 = new TGraphErrors(nPointsCumulant2nd0510ALICE_v2,xCumulant2nd0510ALICE_v2,yCumulant2nd0510ALICE_v2,
+ xErrCumulant2nd0510ALICE_v2,yErrCumulant2nd0510ALICE_v2);
+ Cumulant2nd0510ALICE_v2->SetMarkerStyle(kOpenCircle);
+ Cumulant2nd0510ALICE_v2->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0510ALICE_v2;
+ }
+
+ if (n == 3)
+ {
+ // v3{2}(pt) for 5-10%:
+ Double_t xCumulant2nd0510ALICE_v3[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd0510ALICE_v3[] = {0.000000,0.000000,0.008596,0.010700,0.013820,0.017524,0.021507,0.024316,0.028491,0.032880,
+ 0.038741,0.045830,0.052486,0.059560,0.067990,0.081006,0.097402,0.107050,0.111743,0.116434};
+ Double_t xErrCumulant2nd0510ALICE_v3[20] = {0.};
+ Double_t yErrCumulant2nd0510ALICE_v3[] = {0.000000,0.000000,0.000208,0.000207,0.000218,0.000235,0.000258,0.000284,0.000314,0.000347,
+ 0.000285,0.000345,0.000426,0.000521,0.000642,0.000586,0.001008,0.001611,0.002421,0.002853};
+ Int_t nPointsCumulant2nd0510ALICE_v3 = sizeof(xCumulant2nd0510ALICE_v3)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0510ALICE_v3 = new TGraphErrors(nPointsCumulant2nd0510ALICE_v3,xCumulant2nd0510ALICE_v3,yCumulant2nd0510ALICE_v3,
+ xErrCumulant2nd0510ALICE_v3,yErrCumulant2nd0510ALICE_v3);
+ Cumulant2nd0510ALICE_v3->SetMarkerStyle(kOpenCircle);
+ Cumulant2nd0510ALICE_v3->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0510ALICE_v3;
+ }
+
+ if (n == 4)
+ {
+ // v4{2}(pt) for 5-10%:
+ Double_t xCumulant2nd0510ALICE_v4[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd0510ALICE_v4[] = {0.000000,0.000000,0.006466,0.006731,0.006344,0.007374,0.008775,0.010324,0.012323,0.014533,
+ 0.017261,0.022507,0.028776,0.035403,0.041936,0.051491,0.070340,0.080081,0.095077,0.088526};
+ Double_t xErrCumulant2nd0510ALICE_v4[20] = {0.};
+ Double_t yErrCumulant2nd0510ALICE_v4[] = {0.000000,0.000000,0.000292,0.000295,0.000312,0.000336,0.000366,0.000403,0.000443,0.000485,
+ 0.000399,0.000486,0.000603,0.000738,0.000914,0.000836,0.001443,0.002303,0.003448,0.004078};
+ Int_t nPointsCumulant2nd0510ALICE_v4 = sizeof(xCumulant2nd0510ALICE_v4)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0510ALICE_v4 = new TGraphErrors(nPointsCumulant2nd0510ALICE_v4,xCumulant2nd0510ALICE_v4,yCumulant2nd0510ALICE_v4,
+ xErrCumulant2nd0510ALICE_v4,yErrCumulant2nd0510ALICE_v4);
+ Cumulant2nd0510ALICE_v4->SetMarkerStyle(kOpenCircle);
+ Cumulant2nd0510ALICE_v4->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0510ALICE_v4;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow1020(Int_t n)
+{
+ // private communication 02.02.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 10-20%:
+ Double_t xCumulant2nd1020ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd1020ALICE_v2[] = {0.000000,0.000000,0.027683,0.037083,0.046511,0.055519,0.063979,0.071626,0.078537,0.085975,
+ 0.095001,0.106979,0.118456,0.129721,0.140641,0.155161,0.173402,0.179870,0.180616,0.168921};
+ Double_t xErrCumulant2nd1020ALICE_v2[20] = {0.};
+ Double_t yErrCumulant2nd1020ALICE_v2[] = {0.000000,0.000000,0.000121,0.000124,0.000134,0.000147,0.000163,0.000179,0.000198,0.000217,
+ 0.000177,0.000212,0.000257,0.000311,0.000380,0.000341,0.000569,0.000882,0.001309,0.001537};
+ Int_t nPointsCumulant2nd1020ALICE_v2 = sizeof(xCumulant2nd1020ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd1020ALICE_v2 = new TGraphErrors(nPointsCumulant2nd1020ALICE_v2,xCumulant2nd1020ALICE_v2,yCumulant2nd1020ALICE_v2,
+ xErrCumulant2nd1020ALICE_v2,yErrCumulant2nd1020ALICE_v2);
+ Cumulant2nd1020ALICE_v2->SetMarkerStyle(kFullSquare);
+ Cumulant2nd1020ALICE_v2->SetMarkerColor(kRed);
+
+ return Cumulant2nd1020ALICE_v2;
+ }
+
+ if (n == 3)
+ {
+ // v3{2}(pt) for 10-20%:
+ Double_t xCumulant2nd1020ALICE_v3[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd1020ALICE_v3[] = {0.000000,0.000000,0.009830,0.012858,0.016111,0.020120,0.023948,0.028349,0.032741,0.037244,
+ 0.043385,0.051803,0.059374,0.068686,0.076763,0.090151,0.106530,0.117448,0.121383,0.118247};
+ Double_t xErrCumulant2nd1020ALICE_v3[20] = {0.};
+ Double_t yErrCumulant2nd1020ALICE_v3[] = {0.000000,0.000000,0.000171,0.000170,0.000180,0.000195,0.000215,0.000236,0.000261,0.000287,
+ 0.000236,0.000288,0.000353,0.000434,0.000536,0.000488,0.000823,0.001277,0.001892,0.002224};
+ Int_t nPointsCumulant2nd1020ALICE_v3 = sizeof(xCumulant2nd1020ALICE_v3)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd1020ALICE_v3 = new TGraphErrors(nPointsCumulant2nd1020ALICE_v3,xCumulant2nd1020ALICE_v3,yCumulant2nd1020ALICE_v3,
+ xErrCumulant2nd1020ALICE_v3,yErrCumulant2nd1020ALICE_v3);
+ Cumulant2nd1020ALICE_v3->SetMarkerStyle(kFullSquare);
+ Cumulant2nd1020ALICE_v3->SetMarkerColor(kRed);
+
+ return Cumulant2nd1020ALICE_v3;
+ }
+
+ if (n == 4)
+ {
+ // v4{2}(pt) for 10-20%:
+ Double_t xCumulant2nd1020ALICE_v4[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd1020ALICE_v4[] = {0.000000,0.000000,0.007423,0.007647,0.008189,0.008592,0.009489,0.011671,0.013739,0.017199,
+ 0.020084,0.026004,0.031843,0.038388,0.047357,0.057251,0.072433,0.086326,0.094282,0.097432};
+ Double_t xErrCumulant2nd1020ALICE_v4[20] = {0.};
+ Double_t yErrCumulant2nd1020ALICE_v4[] = {0.000000,0.000000,0.000243,0.000244,0.000257,0.000279,0.000306,0.000335,0.000368,0.000405,
+ 0.000333,0.000406,0.000502,0.000618,0.000770,0.000701,0.001185,0.001845,0.002730,0.003193};
+ Int_t nPointsCumulant2nd1020ALICE_v4 = sizeof(xCumulant2nd1020ALICE_v4)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd1020ALICE_v4 = new TGraphErrors(nPointsCumulant2nd1020ALICE_v4,xCumulant2nd1020ALICE_v4,yCumulant2nd1020ALICE_v4,
+ xErrCumulant2nd1020ALICE_v4,yErrCumulant2nd1020ALICE_v4);
+ Cumulant2nd1020ALICE_v4->SetMarkerStyle(kFullSquare);
+ Cumulant2nd1020ALICE_v4->SetMarkerColor(kRed);
+
+ return Cumulant2nd1020ALICE_v4;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow2030(Int_t n)
+{
+ // private communication 02.02.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ Double_t xCumulant2nd2030ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd2030ALICE_v2[] = {0.000000,0.000000,0.035557,0.048064,0.060768,0.072585,0.083808,0.093772,0.103310,0.112602,
+ 0.124846,0.140603,0.155345,0.169450,0.183077,0.200173,0.219693,0.225741,0.223318,0.207356};
+ Double_t xErrCumulant2nd2030ALICE_v2[20] = {0.};
+ Double_t yErrCumulant2nd2030ALICE_v2[] = {0.000000,0.000000,0.000144,0.000147,0.000159,0.000175,0.000194,0.000214,0.000235,0.000259,
+ 0.000211,0.000254,0.000310,0.000377,0.000464,0.000418,0.000677,0.001027,0.001513,0.001761};
+ Int_t nPointsCumulant2nd2030ALICE_v2 = sizeof(xCumulant2nd2030ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd2030ALICE_v2 = new TGraphErrors(nPointsCumulant2nd2030ALICE_v2,xCumulant2nd2030ALICE_v2,yCumulant2nd2030ALICE_v2,
+ xErrCumulant2nd2030ALICE_v2,yErrCumulant2nd2030ALICE_v2);
+ Cumulant2nd2030ALICE_v2->SetMarkerStyle(kOpenSquare);
+ Cumulant2nd2030ALICE_v2->SetMarkerColor(kRed);
+
+ return Cumulant2nd2030ALICE_v2;
+ }
+
+ if (n == 3)
+ {
+ // v3{2}(pt) for 20-30%:
+ Double_t xCumulant2nd2030ALICE_v3[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd2030ALICE_v3[] = {0.000000,0.000000,0.011287,0.014937,0.018479,0.022962,0.027854,0.031938,0.037038,0.041443,
+ 0.049872,0.058720,0.068353,0.077692,0.087859,0.099863,0.116141,0.124486,0.124786,0.119520};
+ Double_t xErrCumulant2nd2030ALICE_v3[20] = {0.};
+ Double_t yErrCumulant2nd2030ALICE_v3[] = {0.000000,0.000000,0.000215,0.000216,0.000228,0.000248,0.000272,0.000300,0.000332,0.000366,
+ 0.000301,0.000369,0.000456,0.000561,0.000700,0.000636,0.001038,0.001574,0.002307,0.002676};
+ Int_t nPointsCumulant2nd2030ALICE_v3 = sizeof(xCumulant2nd2030ALICE_v3)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd2030ALICE_v3 = new TGraphErrors(nPointsCumulant2nd2030ALICE_v3,xCumulant2nd2030ALICE_v3,yCumulant2nd2030ALICE_v3,
+ xErrCumulant2nd2030ALICE_v3,yErrCumulant2nd2030ALICE_v3);
+ Cumulant2nd2030ALICE_v3->SetMarkerStyle(kOpenSquare);
+ Cumulant2nd2030ALICE_v3->SetMarkerColor(kRed);
+
+ return Cumulant2nd2030ALICE_v3;
+ }
+
+ if (n == 4)
+ {
+ // v4{2}(pt) for 20-30%:
+ Double_t xCumulant2nd2030ALICE_v4[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd2030ALICE_v4[] = {0.000000,0.000000,0.008435,0.009824,0.009387,0.010408,0.011458,0.013770,0.016335,0.019165,
+ 0.023770,0.030071,0.036231,0.043950,0.051803,0.065222,0.082155,0.091864,0.105061,0.105167};
+ Double_t xErrCumulant2nd2030ALICE_v4[20] = {0.};
+ Double_t yErrCumulant2nd2030ALICE_v4[] = {0.000000,0.000000,0.000308,0.000308,0.000328,0.000355,0.000391,0.000430,0.000473,0.000524,
+ 0.000430,0.000524,0.000652,0.000807,0.001006,0.000919,0.001502,0.002277,0.003339,0.003871};
+ Int_t nPointsCumulant2nd2030ALICE_v4 = sizeof(xCumulant2nd2030ALICE_v4)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd2030ALICE_v4 = new TGraphErrors(nPointsCumulant2nd2030ALICE_v4,xCumulant2nd2030ALICE_v4,yCumulant2nd2030ALICE_v4,
+ xErrCumulant2nd2030ALICE_v4,yErrCumulant2nd2030ALICE_v4);
+ Cumulant2nd2030ALICE_v4->SetMarkerStyle(kOpenSquare);
+ Cumulant2nd2030ALICE_v4->SetMarkerColor(kRed);
+
+ return Cumulant2nd2030ALICE_v4;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow3040(Int_t n)
+{
+ // private communication 02.02.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 30-40%:
+ Double_t xCumulant2nd3040ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd3040ALICE_v2[] = {0.000000,0.000000,0.040797,0.055427,0.070543,0.084024,0.096562,0.109411,0.119853,0.130964,
+ 0.145377,0.163806,0.179825,0.196178,0.210377,0.226556,0.245686,0.247898,0.240058,0.225011};
+ Double_t xErrCumulant2nd3040ALICE_v2[20] = {0.};
+ Double_t yErrCumulant2nd3040ALICE_v2[] = {0.000000,0.000000,0.000177,0.000182,0.000197,0.000216,0.000239,0.000265,0.000293,0.000325,
+ 0.000266,0.000321,0.000395,0.000486,0.000603,0.000536,0.000840,0.001258,0.001843,0.002118};
+ Int_t nPointsCumulant2nd3040ALICE_v2 = sizeof(xCumulant2nd3040ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd3040ALICE_v2 = new TGraphErrors(nPointsCumulant2nd3040ALICE_v2,xCumulant2nd3040ALICE_v2,yCumulant2nd3040ALICE_v2,
+ xErrCumulant2nd3040ALICE_v2,yErrCumulant2nd3040ALICE_v2);
+ Cumulant2nd3040ALICE_v2->SetMarkerStyle(kFullTriangleUp);
+ Cumulant2nd3040ALICE_v2->SetMarkerSize(1.2);
+ Cumulant2nd3040ALICE_v2->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd3040ALICE_v2;
+ }
+
+ if (n == 3)
+ {
+ // v3{2}(pt) for 30-40%:
+ Double_t xCumulant2nd3040ALICE_v3[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd3040ALICE_v3[] = {0.000000,0.000000,0.012226,0.016391,0.020792,0.026208,0.030380,0.035710,0.041025,0.047062,
+ 0.053075,0.064201,0.074116,0.085314,0.094391,0.106819,0.124012,0.129388,0.134315,0.132330};
+ Double_t xErrCumulant2nd3040ALICE_v3[20] = {0.};
+ Double_t yErrCumulant2nd3040ALICE_v3[] = {0.000000,0.000000,0.000284,0.000286,0.000303,0.000329,0.000364,0.000403,0.000443,0.000492,
+ 0.000408,0.000500,0.000627,0.000778,0.000973,0.000874,0.001375,0.002050,0.002992,0.003438};
+ Int_t nPointsCumulant2nd3040ALICE_v3 = sizeof(xCumulant2nd3040ALICE_v3)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd3040ALICE_v3 = new TGraphErrors(nPointsCumulant2nd3040ALICE_v3,xCumulant2nd3040ALICE_v3,yCumulant2nd3040ALICE_v3,
+ xErrCumulant2nd3040ALICE_v3,yErrCumulant2nd3040ALICE_v3);
+ Cumulant2nd3040ALICE_v3->SetMarkerStyle(kFullTriangleUp);
+ Cumulant2nd3040ALICE_v3->SetMarkerSize(1.2);
+ Cumulant2nd3040ALICE_v3->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd3040ALICE_v3;
+ }
+
+ if (n == 4)
+ {
+ // v4{2}(pt) for 30-40%:
+ Double_t xCumulant2nd3040ALICE_v4[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd3040ALICE_v4[] = {0.000000,0.000000,0.010718,0.011490,0.010994,0.012527,0.013748,0.016425,0.018857,0.021622,
+ 0.026853,0.034636,0.042651,0.049892,0.057795,0.070865,0.088486,0.101656,0.113886,0.118202};
+ Double_t xErrCumulant2nd3040ALICE_v4[20] = {0.};
+ Double_t yErrCumulant2nd3040ALICE_v4[] = {0.000000,0.000000,0.000401,0.000406,0.000433,0.000472,0.000521,0.000575,0.000634,0.000704,
+ 0.000580,0.000714,0.000890,0.001114,0.001398,0.001253,0.001974,0.002945,0.004290,0.004909};
+ Int_t nPointsCumulant2nd3040ALICE_v4 = sizeof(xCumulant2nd3040ALICE_v4)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd3040ALICE_v4 = new TGraphErrors(nPointsCumulant2nd3040ALICE_v4,xCumulant2nd3040ALICE_v4,yCumulant2nd3040ALICE_v4,
+ xErrCumulant2nd3040ALICE_v4,yErrCumulant2nd3040ALICE_v4);
+ Cumulant2nd3040ALICE_v4->SetMarkerStyle(kFullTriangleUp);
+ Cumulant2nd3040ALICE_v4->SetMarkerSize(1.2);
+ Cumulant2nd3040ALICE_v4->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd3040ALICE_v4;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow4050(Int_t n)
+{
+ // private communication 02.02.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 40-50%:
+ Double_t xCumulant2nd4050ALICE_v2[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.500000};
+ Double_t yCumulant2nd4050ALICE_v2[] = {0.000000,0.000000,0.043593,0.059522,0.075558,0.090681,0.104453,0.117913,0.129349,0.141743,
+ 0.157076,0.176121,0.193651,0.208844,0.222402,0.238407,0.252512,0.253592,0.243571,0.233018};
+ Double_t xErrCumulant2nd4050ALICE_v2[20] = {0.};
+ Double_t yErrCumulant2nd4050ALICE_v2[] = {0.000000,0.000000,0.000234,0.000241,0.000261,0.000288,0.000322,0.000357,0.000395,0.000438,
+ 0.000362,0.000447,0.000555,0.000685,0.000846,0.000733,0.001121,0.001665,0.002433,0.002768};
+ Int_t nPointsCumulant2nd4050ALICE_v2 = sizeof(xCumulant2nd4050ALICE_v2)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd4050ALICE_v2 = new TGraphErrors(nPointsCumulant2nd4050ALICE_v2,xCumulant2nd4050ALICE_v2,yCumulant2nd4050ALICE_v2,
+ xErrCumulant2nd4050ALICE_v2,yErrCumulant2nd4050ALICE_v2);
+ Cumulant2nd4050ALICE_v2->SetMarkerStyle(kOpenTriangleUp);
+ Cumulant2nd4050ALICE_v2->SetMarkerSize(1.2);
+ Cumulant2nd4050ALICE_v2->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd4050ALICE_v2;
+ }
+
+ return 0;
+}
+*/
+
+// results up to high pT
+
+TGraphErrors* GetFlow05(Int_t n)
+{
+ // private communication 09.03.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 0-5%:
+ Double_t xCumulant2nd0005ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.100000,2.300000,2.500000,2.700000,2.900000,3.200000,3.600000,4.000000,4.400000,4.800000,
+ 5.500000,6.500000,7.500000,8.500000,9.500000,11.250000,13.750000,16.250000,18.750000,60.000000};
+ Double_t yCumulant2nd0005ALICE[] = {0.000000,0.000000,0.018169,0.020988,0.024899,0.028309,0.031974,0.035188,0.038218,0.041202,
+ 0.043910,0.046560,0.048183,0.050640,0.052874,0.055334,0.056948,0.059427,0.061540,0.063218,
+ 0.065452,0.069222,0.072578,0.074723,0.077749,0.077178,0.080514,0.075325,0.077692,0.079710,
+ 0.073280,0.063849,0.068274,0.066045,0.071496,0.104352,0.091646,0.050220,0.124185,0.088535};
+ Double_t xErrCumulant2nd0005ALICE[40] = {0.};
+ Double_t yErrCumulant2nd0005ALICE[] = {0.000000,0.000000,0.000190,0.000191,0.000199,0.000212,0.000230,0.000248,0.000268,0.000293,
+ 0.000319,0.000346,0.000379,0.000418,0.000459,0.000502,0.000554,0.000614,0.000674,0.000749,
+ 0.000620,0.000769,0.000958,0.001182,0.001446,0.001331,0.001858,0.002552,0.003453,0.004606,
+ 0.004289,0.007006,0.010046,0.013853,0.017709,0.016630,0.025728,0.036763,0.045056,0.029011};
+ Int_t nPointsCumulant2nd0005ALICE = sizeof(xCumulant2nd0005ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0005ALICE = new TGraphErrors(nPointsCumulant2nd0005ALICE,xCumulant2nd0005ALICE,yCumulant2nd0005ALICE,
+ xErrCumulant2nd0005ALICE,yErrCumulant2nd0005ALICE);
+ Cumulant2nd0005ALICE->SetMarkerStyle(kFullCircle);
+ Cumulant2nd0005ALICE->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0005ALICE;
+ }
+
+ if (n == 3)
+ {
+ }
+
+ if (n == 4)
+ {
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow05_Rap10(Int_t n)
+{
+ // private communication 17.05.11, Ante B. / should correspond to machcone paper draft
+
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 00-05%:
+ const Int_t nPointsSP_0005ALICE_v2_etaGap10 = 17;
+ Double_t xSP_0005ALICE_v2_etaGap10[nPointsSP_0005ALICE_v2_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.900000,1.100000,
+ 1.300000,1.500000,1.700000,1.900000,2.200000,2.600000,3.000000,3.650000,4.550000};
+ Double_t ySP_0005ALICE_v2_etaGap10[nPointsSP_0005ALICE_v2_etaGap10] = {0.013672,0.015745,0.019944,0.024169,0.026921,0.030296,0.034916,0.038472,
+ 0.043103,0.046626,0.052386,0.057132,0.060070,0.068419,0.061459,0.056816,0.050311};
+ Double_t xErrSP_0005ALICE_v2_etaGap10[nPointsSP_0005ALICE_v2_etaGap10] = {0.};
+ Double_t yErrSP_0005ALICE_v2_etaGap10[nPointsSP_0005ALICE_v2_etaGap10] = {0.000813,0.000804,0.000852,0.000930,0.001029,0.001140,0.000939,0.001155,
+ 0.001410,0.001736,0.002131,0.002620,0.002502,0.003759,0.005615,0.006617,0.014242};
+ TGraphErrors *GrSP_0005ALICE_v2_etaGap10 = new TGraphErrors(nPointsSP_0005ALICE_v2_etaGap10,xSP_0005ALICE_v2_etaGap10,ySP_0005ALICE_v2_etaGap10,
+ xErrSP_0005ALICE_v2_etaGap10,yErrSP_0005ALICE_v2_etaGap10);
+
+ return GrSP_0005ALICE_v2_etaGap10;
+ }
+
+ if (n == 3)
+ {
+ // v3{SP}(pt) for 00-05%:
+ const Int_t nPointsSP_0005ALICE_v3_etaGap10 = 16;
+ Double_t xSP_0005ALICE_v3_etaGap10[nPointsSP_0005ALICE_v3_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.900000,1.100000,
+ 1.300000,1.500000,1.700000,1.900000,2.300000,2.900000,3.650000,4.550000};
+ Double_t ySP_0005ALICE_v3_etaGap10[nPointsSP_0005ALICE_v3_etaGap10] = {0.006303,0.009800,0.011143,0.014246,0.017628,0.019437,0.028412,0.030580,
+ 0.038730,0.045653,0.052469,0.062303,0.071522,0.082223,0.083373,0.076951};
+ Double_t xErrSP_0005ALICE_v3_etaGap10[nPointsSP_0005ALICE_v3_etaGap10] = {0.};
+ Double_t yErrSP_0005ALICE_v3_etaGap10[nPointsSP_0005ALICE_v3_etaGap10] = {0.001012,0.000996,0.001062,0.001158,0.001277,0.001415,0.001158,0.001422,
+ 0.001734,0.002124,0.002610,0.003206,0.002724,0.004977,0.008123,0.017180};
+ TGraphErrors *GrSP_0005ALICE_v3_etaGap10 = new TGraphErrors(nPointsSP_0005ALICE_v3_etaGap10,xSP_0005ALICE_v3_etaGap10,ySP_0005ALICE_v3_etaGap10,
+ xErrSP_0005ALICE_v3_etaGap10,yErrSP_0005ALICE_v3_etaGap10);
+
+
+ return GrSP_0005ALICE_v3_etaGap10;
+ }
+
+ if (n == 4)
+ {
+ // v4{SP}(pt) for 00-05%:
+ const Int_t nPointsSP_0005ALICE_v4_etaGap10 = 11;
+ Double_t xSP_0005ALICE_v4_etaGap10[nPointsSP_0005ALICE_v4_etaGap10] = {0.300000,0.500000,0.700000,0.950000,1.250000,1.550000,1.850000,2.300000,2.900000,3.650000,4.550000};
+ Double_t ySP_0005ALICE_v4_etaGap10[nPointsSP_0005ALICE_v4_etaGap10] = {0.002042,0.002556,0.009693,0.013286,0.016780,0.027865,0.031797,0.051101,0.060164,
+ 0.095985,0.094607};
+ Double_t xErrSP_0005ALICE_v4_etaGap10[nPointsSP_0005ALICE_v4_etaGap10] = {0.};
+ Double_t yErrSP_0005ALICE_v4_etaGap10[nPointsSP_0005ALICE_v4_etaGap10] = {0.001460,0.001624,0.001930,0.002021,0.002737,0.003717,0.005042,0.005564,0.010160,
+ 0.016472,0.035083};
+ TGraphErrors *GrSP_0005ALICE_v4_etaGap10 = new TGraphErrors(nPointsSP_0005ALICE_v4_etaGap10,xSP_0005ALICE_v4_etaGap10,ySP_0005ALICE_v4_etaGap10,
+ xErrSP_0005ALICE_v4_etaGap10,yErrSP_0005ALICE_v4_etaGap10);
+
+ return GrSP_0005ALICE_v4_etaGap10;
+ }
+
+ if (n == 5)
+ {
+ // v5{SP}(pt) for 00-05%:
+ const Int_t nPointsSP_0005ALICE_v5_etaGap10 = 12;
+ Double_t xSP_0005ALICE_v5_etaGap10[nPointsSP_0005ALICE_v5_etaGap10] = {0.300000,0.500000,0.700000,0.900000,1.100000,1.300000,1.600000,2.000000,2.400000,
+ 2.800000,3.500000,4.500000};
+ Double_t ySP_0005ALICE_v5_etaGap10[nPointsSP_0005ALICE_v5_etaGap10] = {0.002016,0.003409,0.004029,0.002665,0.002765,0.003042,0.013241,0.015430,0.031845,
+ 0.031373,0.068504,0.017964};
+ Double_t xErrSP_0005ALICE_v5_etaGap10[nPointsSP_0005ALICE_v5_etaGap10] = {0.};
+ Double_t yErrSP_0005ALICE_v5_etaGap10[nPointsSP_0005ALICE_v5_etaGap10] = {0.001260,0.001386,0.001696,0.002101,0.002560,0.003119,0.002970,0.004472,0.006802,
+ 0.010073,0.011899,0.027756};
+ TGraphErrors *GrSP_0005ALICE_v5_etaGap10 = new TGraphErrors(nPointsSP_0005ALICE_v5_etaGap10,xSP_0005ALICE_v5_etaGap10,ySP_0005ALICE_v5_etaGap10,
+ xErrSP_0005ALICE_v5_etaGap10,yErrSP_0005ALICE_v5_etaGap10);
+
+ return GrSP_0005ALICE_v5_etaGap10;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow510(Int_t n)
+{
+ // private communication 09.03.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 5-10%:
+ Double_t xCumulant2nd0510ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.100000,2.300000,2.500000,2.700000,2.900000,3.200000,3.600000,4.000000,4.400000,4.800000,
+ 5.500000,6.500000,7.500000,8.500000,9.500000,11.250000,13.750000,16.250000,18.750000,60.000000};
+ Double_t yCumulant2nd0510ALICE[] = {0.000000,0.000000,0.022354,0.028064,0.034341,0.040769,0.046265,0.051160,0.056712,0.061354,
+ 0.066290,0.070340,0.074453,0.078444,0.082367,0.085785,0.088086,0.092676,0.096169,0.100366,
+ 0.104227,0.109710,0.117032,0.121784,0.122227,0.126537,0.127966,0.117790,0.117884,0.111436,
+ 0.104945,0.097640,0.086481,0.091663,0.091404,0.080132,0.015864,0.101500,0.033347,0.205130};
+ Double_t xErrCumulant2nd0510ALICE[40] = {0.};
+ Double_t yErrCumulant2nd0510ALICE[] = {0.000000,0.000000,0.000173,0.000176,0.000186,0.000199,0.000219,0.000236,0.000260,0.000283,
+ 0.000312,0.000340,0.000373,0.000410,0.000454,0.000501,0.000552,0.000610,0.000675,0.000753,
+ 0.000620,0.000774,0.000961,0.001183,0.001431,0.001309,0.001814,0.002481,0.003342,0.004379,
+ 0.004122,0.006716,0.009851,0.013626,0.017517,0.015790,0.025680,0.038041,0.054144,0.038987};
+ Int_t nPointsCumulant2nd0510ALICE = sizeof(xCumulant2nd0510ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd0510ALICE = new TGraphErrors(nPointsCumulant2nd0510ALICE,xCumulant2nd0510ALICE,yCumulant2nd0510ALICE,
+ xErrCumulant2nd0510ALICE,yErrCumulant2nd0510ALICE);
+ Cumulant2nd0510ALICE->SetMarkerStyle(kOpenCircle);
+ Cumulant2nd0510ALICE->SetMarkerColor(kBlue);
+
+ return Cumulant2nd0510ALICE;
+ }
+
+ if (n == 3)
+ {
+ }
+
+ if (n == 4)
+ {
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow510_Rap10(Int_t n)
+{
+ // private communication 18.05.11, Ante B.
+
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 05-10%, rapidity gap = 1.0:
+ const Int_t nPointsSP_0510ALICE_v2_etaGap10 = 19;
+ Double_t xSP_0510ALICE_v2_etaGap10[nPointsSP_0510ALICE_v2_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.250000,
+4.750000};
+ Double_t ySP_0510ALICE_v2_etaGap10[nPointsSP_0510ALICE_v2_etaGap10] = {0.018634,0.025538,0.032157,0.038272,0.044020,0.049252,0.055627,0.059272,
+0.066516,0.073891,0.080945,0.090386,0.094505,0.106393,0.120303,0.122586,0.121731,0.107343,
+0.104059};
+ Double_t xErrSP_0510ALICE_v2_etaGap10[nPointsSP_0510ALICE_v2_etaGap10] = {0.};
+ Double_t yErrSP_0510ALICE_v2_etaGap10[nPointsSP_0510ALICE_v2_etaGap10] = {0.000419,0.000411,0.000435,0.000474,0.000523,0.000580,0.000643,0.000712,
+0.000586,0.000717,0.000880,0.001082,0.001333,0.001189,0.001969,0.003199,0.005011,0.007602,
+0.010906};
+ TGraphErrors *GrSP_0510ALICE_v2_etaGap10 = new TGraphErrors(nPointsSP_0510ALICE_v2_etaGap10,xSP_0510ALICE_v2_etaGap10,
+ ySP_0510ALICE_v2_etaGap10,xErrSP_0510ALICE_v2_etaGap10,
+ yErrSP_0510ALICE_v2_etaGap10);
+
+ return GrSP_0510ALICE_v2_etaGap10;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow1020(Int_t n)
+{
+ // private communication 09.03.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 10-20%:
+ Double_t xCumulant2nd1020ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.100000,2.300000,2.500000,2.700000,2.900000,3.200000,3.600000,4.000000,4.400000,4.800000,
+ 5.500000,6.500000,7.500000,8.500000,9.500000,11.250000,13.750000,16.250000,18.750000,60.000000};
+ Double_t yCumulant2nd1020ALICE[] = {0.000000,0.000000,0.028508,0.037698,0.046914,0.055750,0.063948,0.072298,0.079396,0.086829,
+ 0.093382,0.099676,0.105412,0.110792,0.116715,0.122327,0.127079,0.132302,0.137183,0.142346,
+ 0.149059,0.156729,0.164672,0.171840,0.175346,0.176824,0.178878,0.174979,0.169229,0.153109,
+ 0.139676,0.125686,0.120554,0.096537,0.084736,0.118152,0.116079,0.060032,0.093764,0.206506};
+ Double_t xErrCumulant2nd1020ALICE[40] = {0.};
+ Double_t yErrCumulant2nd1020ALICE[] = {0.000000,0.000000,0.000134,0.000136,0.000145,0.000158,0.000173,0.000190,0.000209,0.000229,
+ 0.000252,0.000275,0.000301,0.000331,0.000365,0.000401,0.000442,0.000488,0.000541,0.000599,
+ 0.000496,0.000614,0.000757,0.000915,0.001095,0.000989,0.001360,0.001847,0.002477,0.003234,
+ 0.003012,0.004867,0.007123,0.009774,0.012740,0.011682,0.019629,0.028568,0.039931,0.024776};
+ Int_t nPointsCumulant2nd1020ALICE = sizeof(xCumulant2nd1020ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd1020ALICE = new TGraphErrors(nPointsCumulant2nd1020ALICE,xCumulant2nd1020ALICE,yCumulant2nd1020ALICE,
+ xErrCumulant2nd1020ALICE,yErrCumulant2nd1020ALICE);
+ Cumulant2nd1020ALICE->SetMarkerStyle(kFullSquare);
+ Cumulant2nd1020ALICE->SetMarkerColor(kRed);
+
+ return Cumulant2nd1020ALICE;
+ }
+
+ if (n == 3)
+ {
+ }
+
+ if (n == 4)
+ {
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow1020_Rap10(Int_t n)
+{
+ // private communication 18.05.11, Ante B.
+
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 10-20%, rapidity gap = 1.0:
+ const Int_t nPointsSP_1020ALICE_v2_etaGap10 = 19;
+ Double_t xSP_1020ALICE_v2_etaGap10[nPointsSP_1020ALICE_v2_etaGap10] = {0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+1.100000,1.300000,1.500000,1.700000,1.900000,2.250000,2.750000,3.250000,3.750000,4.250000,
+4.750000};
+ Double_t ySP_1020ALICE_v2_etaGap10[nPointsSP_1020ALICE_v2_etaGap10] = {0.026592,0.036955,0.046103,0.055537,0.063461,0.070993,0.078751,0.085723,
+0.094701,0.105631,0.117906,0.128147,0.138505,0.153494,0.166651,0.172691,0.177337,0.155068,
+0.131586};
+ Double_t xErrSP_1020ALICE_v2_etaGap10[nPointsSP_1020ALICE_v2_etaGap10] = {0.};
+ Double_t yErrSP_1020ALICE_v2_etaGap10[nPointsSP_1020ALICE_v2_etaGap10] = {0.000302,0.000296,0.000314,0.000342,0.000377,0.000418,0.000465,0.000515,
+0.000423,0.000517,0.000634,0.000779,0.000959,0.000856,0.001406,0.002266,0.003528,0.005281,
+0.007561};
+ TGraphErrors *GrSP_1020ALICE_v2_etaGap10 = new TGraphErrors(nPointsSP_1020ALICE_v2_etaGap10,xSP_1020ALICE_v2_etaGap10,
+ ySP_1020ALICE_v2_etaGap10,xErrSP_1020ALICE_v2_etaGap10,
+ yErrSP_1020ALICE_v2_etaGap10);
+
+ return GrSP_1020ALICE_v2_etaGap10;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow2030(Int_t n)
+{
+ // private communication 09.03.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 20-30%:
+ Double_t xCumulant2nd2030ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.100000,2.300000,2.500000,2.700000,2.900000,3.200000,3.600000,4.000000,4.400000,4.800000,
+ 5.500000,6.500000,7.500000,8.500000,9.500000,11.250000,13.750000,16.250000,18.750000,60.000000};
+ Double_t yCumulant2nd2030ALICE[] = {0.000000,0.000000,0.035366,0.047465,0.060083,0.072090,0.083418,0.093576,0.103842,0.113110,
+ 0.122193,0.130168,0.138158,0.145627,0.152851,0.159129,0.166073,0.173144,0.178698,0.186188,
+ 0.192045,0.202199,0.210535,0.215004,0.220457,0.223339,0.224050,0.211567,0.203955,0.189716,
+ 0.165994,0.147185,0.131953,0.139331,0.151293,0.127406,0.153764,0.089628,0.161247,0.511418};
+ Double_t xErrCumulant2nd2030ALICE[40] = {0.};
+ Double_t yErrCumulant2nd2030ALICE[] = {0.000000,0.000000,0.000155,0.000157,0.000169,0.000184,0.000202,0.000222,0.000244,0.000269,
+ 0.000296,0.000325,0.000357,0.000394,0.000435,0.000481,0.000532,0.000589,0.000655,0.000731,
+ 0.000605,0.000743,0.000904,0.001081,0.001277,0.001145,0.001568,0.002119,0.002806,0.003635,
+ 0.003383,0.005346,0.007935,0.010739,0.014682,0.013434,0.021531,0.032352,0.040396,0.028472};
+ Int_t nPointsCumulant2nd2030ALICE = sizeof(xCumulant2nd2030ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd2030ALICE = new TGraphErrors(nPointsCumulant2nd2030ALICE,xCumulant2nd2030ALICE,yCumulant2nd2030ALICE,
+ xErrCumulant2nd2030ALICE,yErrCumulant2nd2030ALICE);
+ Cumulant2nd2030ALICE->SetMarkerStyle(kOpenSquare);
+ Cumulant2nd2030ALICE->SetMarkerColor(kRed);
+
+ return Cumulant2nd2030ALICE;
+ }
+
+ if (n == 3)
+ {
+ }
+
+ if (n == 4)
+ {
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow3040(Int_t n)
+{
+ // private communication 09.03.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 30-40%:
+ Double_t xCumulant2nd3040ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.100000,2.300000,2.500000,2.700000,2.900000,3.200000,3.600000,4.000000,4.400000,4.800000,
+ 5.500000,6.500000,7.500000,8.500000,9.500000,11.250000,13.750000,16.250000,18.750000,60.000000};
+ Double_t yCumulant2nd3040ALICE[] = {0.000000,0.000000,0.039584,0.054196,0.069291,0.082976,0.095622,0.108940,0.119830,0.131587,
+ 0.141091,0.150899,0.160573,0.168676,0.176301,0.183823,0.191672,0.199506,0.206854,0.212830,
+ 0.219526,0.229376,0.236513,0.240863,0.245961,0.245891,0.242608,0.234302,0.219580,0.212848,
+ 0.194666,0.190184,0.171036,0.159173,0.156932,0.141324,0.132809,0.182683,0.023272,0.032825};
+ Double_t xErrCumulant2nd3040ALICE[40] = {0.};
+ Double_t yErrCumulant2nd3040ALICE[] = {0.000000,0.000000,0.000189,0.000192,0.000205,0.000224,0.000247,0.000273,0.000302,0.000334,
+ 0.000369,0.000407,0.000448,0.000496,0.000552,0.000612,0.000682,0.000758,0.000844,0.000941,
+ 0.000774,0.000937,0.001123,0.001329,0.001565,0.001397,0.001911,0.002549,0.003378,0.004306,
+ 0.003987,0.006353,0.009128,0.013032,0.016891,0.015806,0.025150,0.035119,0.044487,0.050083};
+ Int_t nPointsCumulant2nd3040ALICE = sizeof(xCumulant2nd3040ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd3040ALICE = new TGraphErrors(nPointsCumulant2nd3040ALICE,xCumulant2nd3040ALICE,yCumulant2nd3040ALICE,
+ xErrCumulant2nd3040ALICE,yErrCumulant2nd3040ALICE);
+ Cumulant2nd3040ALICE->SetMarkerStyle(kFullTriangleUp);
+ Cumulant2nd3040ALICE->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd3040ALICE;
+ }
+
+ if (n == 3)
+ {
+ }
+
+ if (n == 4)
+ {
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow4050(Int_t n)
+{
+ // private communication 09.03.11, Ante B. / Raimond
+
+ if (n == 2)
+ {
+ // v2{2}(pt) for 40-50%:
+ Double_t xCumulant2nd4050ALICE[] = {0.050000,0.150000,0.250000,0.350000,0.450000,0.550000,0.650000,0.750000,0.850000,0.950000,
+ 1.050000,1.150000,1.250000,1.350000,1.450000,1.550000,1.650000,1.750000,1.850000,1.950000,
+ 2.100000,2.300000,2.500000,2.700000,2.900000,3.200000,3.600000,4.000000,4.400000,4.800000,
+ 5.500000,6.500000,7.500000,8.500000,9.500000,11.250000,13.750000,16.250000,18.750000,60.000000};
+ Double_t yCumulant2nd4050ALICE[] = {0.000000,0.000000,0.041872,0.058090,0.074444,0.089181,0.103780,0.117279,0.129769,0.142051,
+ 0.153185,0.163147,0.173309,0.181668,0.190998,0.197703,0.205011,0.211063,0.219587,0.223287,
+ 0.231163,0.239606,0.246533,0.251457,0.250034,0.252989,0.240823,0.236489,0.230268,0.204321,
+ 0.213476,0.200247,0.167065,0.190655,0.173573,0.166173,0.153232,0.173112,-0.123540,0.211999};
+ Double_t xErrCumulant2nd4050ALICE[40] = {0.};
+ Double_t yErrCumulant2nd4050ALICE[] = {0.000000,0.000000,0.000248,0.000251,0.000270,0.000296,0.000328,0.000363,0.000403,0.000447,
+ 0.000500,0.000556,0.000617,0.000687,0.000770,0.000857,0.000952,0.001057,0.001176,0.001297,
+ 0.001054,0.001265,0.001498,0.001767,0.002076,0.001849,0.002527,0.003358,0.004372,0.005573,
+ 0.005091,0.007981,0.011746,0.015732,0.021883,0.019866,0.032443,0.046521,0.051631,0.083717};
+ Int_t nPointsCumulant2nd4050ALICE = sizeof(xCumulant2nd4050ALICE)/sizeof(Double_t);
+ TGraphErrors *Cumulant2nd4050ALICE = new TGraphErrors(nPointsCumulant2nd4050ALICE,xCumulant2nd4050ALICE,yCumulant2nd4050ALICE,
+ xErrCumulant2nd4050ALICE,yErrCumulant2nd4050ALICE);
+ Cumulant2nd4050ALICE->SetMarkerStyle(kOpenTriangleUp);
+ Cumulant2nd4050ALICE->SetMarkerColor(kGreen+2);
+
+ return Cumulant2nd4050ALICE;
+ }
+
+ return 0;
+}
+
+TGraphErrors* GetFlow6070_Rap10(Int_t n)
+{
+ // private communication 18.05.11, Ante B.
+
+ if (n == 2)
+ {
+ // v2{SP}(pt) for 60-70%, rapidity gap = 1.0:
+ const Int_t nPointsSP_6070ALICE_v2_etaGap10 = 9;
+ Double_t xSP_6070ALICE_v2_etaGap10[nPointsSP_6070ALICE_v2_etaGap10] = {0.300000,0.500000,0.700000,0.900000,1.250000,1.750000,2.500000,3.500000,4.500000};
+ Double_t ySP_6070ALICE_v2_etaGap10[nPointsSP_6070ALICE_v2_etaGap10] = {0.044958,0.073313,0.105726,0.120423,0.147537,0.186749,0.205423,0.208575,0.185938};
+ Double_t xErrSP_6070ALICE_v2_etaGap10[nPointsSP_6070ALICE_v2_etaGap10] = {0.};
+ Double_t yErrSP_6070ALICE_v2_etaGap10[nPointsSP_6070ALICE_v2_etaGap10] = {0.001520,0.001772,0.002245,0.002842,0.002600,0.004443,0.006240,0.014665,0.028810};
+ TGraphErrors *GrSP_6070ALICE_v2_etaGap10 = new TGraphErrors(nPointsSP_6070ALICE_v2_etaGap10,xSP_6070ALICE_v2_etaGap10,
+ ySP_6070ALICE_v2_etaGap10,xErrSP_6070ALICE_v2_etaGap10,
+ yErrSP_6070ALICE_v2_etaGap10);
+
+ return GrSP_6070ALICE_v2_etaGap10;
+ }
+
+ return 0;
+}
+
+Float_t CalculateFlow(TH1* ptDist, Float_t ptMin, Float_t ptMax, Int_t n, Int_t centralityBegin, Int_t centralityEnd)
+{
+ if (centralityBegin == 0 && centralityEnd == 1)
+ flow = GetFlow01_Rap10(n);
+ else if (centralityBegin == 0 && centralityEnd == 2)
+ flow = GetFlow02_Rap10(n);
+ else if (centralityBegin == 0 && centralityEnd == 5)
+ flow = GetFlow05_Rap10(n);
+ else if (centralityBegin == 5 && centralityEnd == 10)
+ flow = GetFlow510_Rap10(n);
+ else if (centralityBegin == 20 && centralityEnd == 30)
+ flow = GetFlow2030(n);
+ else if (centralityBegin == 30 && centralityEnd == 40)
+ flow = GetFlow3040(n);
+ else if (centralityBegin == 40 && centralityEnd == 50)
+ flow = GetFlow4050(n);
+ else if (centralityBegin > 50)
+ flow = GetFlow6070_Rap10(n);
+ else if (centralityBegin == 0 && centralityEnd == 20)
+ {
+ flow1 = GetFlow05_Rap10(n);
+ flow2 = GetFlow510_Rap10(n);
+ flow3 = GetFlow1020_Rap10(n);
+
+ flow = (TGraphErrors*) flow2->Clone();
+
+ // centrality width * dn/deta from http://arxiv.org/PS_cache/arxiv/pdf/1012/1012.1657v2.pdf
+ Float_t mult[] = { 5 * 1601, 5 * 1294, 10 * 966 };
+
+ for (Int_t i=0; i<flow->GetN(); i++)
+ {
+ Float_t x= flow->GetX()[i];
+
+// Printf("%f: %f %f %f", x, flow1->Eval(x), flow2->Eval(x), flow3->Eval(x));
+ flow->GetY()[i] = flow1->Eval(x) * mult[0] + flow2->Eval(x) * mult[1] + flow3->Eval(x) * mult[2];
+ flow->GetY()[i] /= mult[0] + mult[1] + mult[2];
+// Printf(" --> %f", flow->GetY()[i]);
+ }
+ }
+ else if (centralityBegin == 20 && centralityEnd == 60)
+ {
+ flow = GetFlow2030(n);
+ flow2 = GetFlow3040(n);
+ flow3 = GetFlow4050(n);
+
+ // centrality width * dn/deta from http://arxiv.org/PS_cache/arxiv/pdf/1012/1012.1657v2.pdf
+ Float_t mult[] = { 10 * 649, 10 * 426, 10 * (261+149) };
+
+ if (flow->GetN() != flow2->GetN() || flow2->GetN() != flow3->GetN())
+ AliFatal("Incompatible graphs");
+
+ for (Int_t i=0; i<flow->GetN(); i++)
+ {
+// Printf("%f %f %f", flow->GetY()[i], flow2->GetY()[i], flow3->GetY()[i]);
+ flow->GetY()[i] = flow->GetY()[i] * mult[0] + flow2->GetY()[i] * mult[1] + flow3->GetY()[i] * mult[2];
+ flow->GetY()[i] /= mult[0] + mult[1] + mult[2];
+// Printf(" --> %f", flow->GetY()[i]);
+ }
+ }
+ else
+ {
+ Printf("Flow range %d %d not available", centralityBegin, centralityEnd);
+ AliFatal("");
+ }
+
+ Float_t vn = 0;
+ Float_t sum = 0;
+ for (Int_t bin = ptDist->FindBin(ptMin + 0.01); bin <= ptDist->FindBin(ptMax - 0.01); bin++)
+ {
+ if (ptDist->GetBinCenter(bin) > flow->GetX()[flow->GetN()-1])
+ vn += ptDist->GetBinContent(bin) * flow->GetY()[flow->GetN()-1];
+ else
+ vn += ptDist->GetBinContent(bin) * flow->Eval(ptDist->GetBinCenter(bin));
+ sum += ptDist->GetBinContent(bin);
+ }
+
+ if (sum > 0)
+ vn /= sum;
+
+ Printf("v_{%d} = %f for %f < pT < %f", n, vn, ptMin, ptMax);
+
+ return vn;
+}
+
+void CalculateFlow(const char* fileName, Int_t centralityBegin, Int_t centralityEnd)
+{
+ Float_t ptTrigMin = 2;
+ Float_t ptTrigMax = 3;
+
+ Float_t ptMin = 1;
+ Float_t ptMax = 2;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ cont = h->GetUEHist(2)->GetTrackHist(0);
+ cont->GetGrid(6)->GetGrid()->GetAxis(3)->SetRangeUser(0.01 + centralityBegin, -0.01 + centralityEnd);
+ cont->GetGrid(6)->GetGrid()->GetAxis(2)->SetRangeUser(ptTrigMin + 0.01, ptTrigMax - 0.01);
+
+ ptDist = cont->ShowProjection(1, 6);
+ ptDist->Scale(1.0 / ptDist->Integral());
+
+ cont = h->GetUEHist(2)->GetEventHist();
+ cont->GetGrid(6)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + centralityBegin, -0.01 + centralityEnd);
+
+ ptDist2 = cont->ShowProjection(0, 6);
+ ptDist2->Scale(1.0 / ptDist2->Integral());
+
+ TString str;
+
+ for (Int_t n=2; n<=4; n++)
+ {
+ Float_t v2A = CalculateFlow(ptDist, ptMin, ptMax, n, centralityBegin, centralityEnd);
+ Float_t v2T = CalculateFlow(ptDist2, ptTrigMin, ptTrigMax, n, centralityBegin, centralityEnd);
+
+ str += Form("%f * %f, ", v2A, v2T);
+ }
+
+ ptDist->Draw();
+ ptDist2->SetLineColor(2);
+ ptDist2->Draw("SAME");
+
+ Printf("%s", str.Data());
+}
+
+// four dimensions for: nearside/awayside/normalization unc, trigger, centrality, case (same, same/mixed, same w/ v2 subtraction, same/mixed w/ v2 subtraction, some more cases...)
+TGraphErrors***** yields = 0;
+TString currentYieldFile;
+
+void WriteYields()
+{
+ TFile::Open("yields.root", "RECREATE");
+ for (Int_t i=0; i<3; i++)
+ {
+ for (Int_t j=0; j<6; j++)
+ {
+ for (Int_t k=0; k<4; k++)
+ {
+ // CINT limitation here
+ TGraphErrors** tmp = yields[i][j][k];
+ for (Int_t l=0; l<31; l++)
+ {
+ //Printf("%d %d %d %d", i, j, k, l);
+ tmp[l]->Write(Form("yield_%d_%d_%d_%d", i, j, k, l));
+ }
+ }
+ }
+ }
+ gFile->Close();
+}
+
+void ReadYields(const char* fileName = "yields.root")
+{
+ if (currentYieldFile == fileName)
+ return;
+
+ currentYieldFile = fileName;
+
+ CreateYieldStructure();
+ TFile::Open(fileName);
+ for (Int_t i=0; i<3; i++)
+ {
+ for (Int_t j=0; j<6; j++)
+ {
+ for (Int_t k=0; k<4; k++)
+ {
+ // CINT limitation here
+ TGraphErrors** tmp = yields[i][j][k];
+ for (Int_t l=0; l<31; l++)
+ {
+ //Printf("%d %d %d %d", i, j, k, l);
+ tmp[l] = gFile->Get(Form("yield_%d_%d_%d_%d", i, j, k, l));
+ }
+ }
+ }
+ }
+}
+
+void CreateYieldStructure()
+{
+ if (!yields)
+ {
+ yields = new TGraphErrors****[3];
+ for (Int_t i=0; i<3; i++)
+ {
+ yields[i] = new TGraphErrors***[6];
+ for (Int_t j=0; j<6; j++)
+ {
+ yields[i][j] = new TGraphErrors**[4];
+ for (Int_t k=0; k<4; k++)
+ {
+ yields[i][j][k] = new TGraphErrors*[31];
+ // CINT limitation here
+ TGraphErrors** tmp = yields[i][j][k];
+ for (Int_t l=0; l<31; l++)
+ {
+ //Printf("%d %d %d %d", i, j, k, l);
+ TGraphErrors* graph = new TGraphErrors;
+ tmp[l] = graph;
+ }
+ }
+ }
+ }
+ }
+}
+
+void GraphShiftX(TGraphErrors* graph, Float_t offset)
+{
+ for (Int_t i=0; i<graph->GetN(); i++)
+ graph->GetX()[i] += offset;
+}
+
+// Float_t kPythiaScalingFactor = 0.935;
+Float_t kPythiaScalingFactor = 1;
+
+void DrawYields(const char* fileName = "yields.root")
+{
+ ReadYields(fileName);
+
+ c = new TCanvas("c", "c", 1800, 1200);
+ c->Divide(6, 4);
+
+ Int_t markers1[] = { 24, 25, 26, 30 };
+ Int_t markers2[] = { 20, 21, 22, 29 };
+ Int_t colors[] = { 1, 2, 3, 4 };
+ //Int_t caseList[] = { 0, 10+1, 10+1, 8, 10, 11, 12, 13, 1, 9 };
+ Int_t caseList[] = { 0, 18, 18, 23, 18, 19, 20, 21, 22, 9 };
+ const char* caseString[] = { "", "baseline sub", "baseline vs v2 sub comp", 0, "baseline sub comp", "Same/Mixed", "Same/Mixed - v2 subtr" };
+
+ Bool_t iaa = kTRUE;
+ if (!iaa)
+ {
+ Int_t centralityList[] = { 0, 1, 2, 0, 0, 1 };
+ Int_t centralityList2[] = { -1, -1, -1, 1, 2, 2 };
+ Float_t factors[] = { 1, 1, 1, 1, 1, 1 };
+ const char* centralityString[] = { "0-5%", "20-40%", "60-90%", "0-5% vs 20-40%", "0-5% vs 60-90%", "20-40% vs 60-90%" };
+ }
+ else
+ {
+ Int_t centralityList[] = { 0, 2, 3, 0, 0, 2 };
+ Int_t centralityList2[] = { -1, -1, -1, 2, 3, 3 };
+ //Float_t factors[] = { 1, 1, 1, 1, 1.0/0.9, 1.0/0.9 };
+ //Float_t factors[] = { 1, 1, 1, 1, 1.0/0.804, 1.0/0.804 };
+ Float_t factors[] = { 1, 1, 1, 1, 1.0/kPythiaScalingFactor, 1.0/kPythiaScalingFactor };
+ //Float_t factors[] = { 1, 1, 1, 1, 1.0, 1.0 };
+ const char* centralityString[] = { "0-5%", "60-90%", "pp", "0-5% vs 60-90%", "0-5% vs pp", "60-90% vs pp" };
+ }
+
+ l = new TLegend(0.5, 0.5, 0.9, 0.9);
+ l->SetFillColor(0);
+
+ Float_t max[] = { 0.4, 2, 2, 2, 2, 10, 10 };
+ Float_t max2[] = { 5, 2, 2, 2, 2, 2, 2, 2, 2 };
+
+ dummy = new TH2F("dummy", ";p_{T,assoc};yield", 100, 0, 20, 20000, 0, 10);
+ dummy->SetStats(0);
+
+ TGraphErrors* prevNear[6];
+ TGraphErrors* prevAway[6];
+ for (Int_t caseId=0; caseId<9; caseId++) // case 0->9
+ {
+ for (Int_t k=0; k<6; k++) // centrality
+ {
+ if (caseId != 3 && caseId < 5)
+ {
+ if (caseId < 4)
+ c->cd(1 + k + caseId*6);
+ else
+ c->cd(1 + k + (caseId-1)*6);
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, max[caseId]);
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ latex = new TLatex(0.15, 0.95, Form("%s - %s", caseString[caseId], centralityString[k]));
+ latex->SetNDC();
+ latex->SetTextSize(0.05);
+ latex->Draw();
+ }
+ else if (caseId == 3)
+ c->cd(1 + k + 2*6);
+ else
+ c->cd(1 + k + 3*6);
+
+ for (Int_t j=0; j<3; j++) // trigger pt
+ {
+ if (caseId >= 2 && j != 1)
+ continue;
+ Printf("%d %d %d %d", caseId, k, j, caseList[caseId]);
+
+ if (k < 3)
+ {
+ // CINT limitation here
+ TGraphErrors** tmp = yields[0][j][centralityList[k]];
+ nearSide = tmp[caseList[caseId]];
+ //new TCanvas; nearSide->Draw("AP"); return;
+
+ nearSide->SetMarkerStyle(markers1[j]);
+ nearSide->SetMarkerColor(colors[j]);
+ nearSide->SetLineColor(colors[j]);
+
+ if (caseId == 0 && k == 0)
+ l->AddEntry(nearSide, Form("trig pt bin %d", j), "P");
+
+ TGraphErrors** tmp = yields[1][j][centralityList[k]];
+ awaySide = tmp[caseList[caseId]];
+ awaySide->SetMarkerStyle(markers2[j]);
+ awaySide->SetMarkerColor(colors[j]);
+ awaySide->SetLineColor(colors[j]);
+
+ GraphShiftX(nearSide, -0.1 + j*0.1);
+ GraphShiftX(awaySide, -0.1 + j*0.1);
+
+ if (caseId == 3)
+ {
+ nearSide->SetLineColor(caseId - 2);
+ nearSide->SetMarkerColor(caseId - 2);
+ awaySide->SetLineColor(caseId - 2);
+ awaySide->SetMarkerColor(caseId - 2);
+ }
+
+ if (caseId >= 4)
+ {
+ nearSide->SetLineColor(caseId - 3);
+ nearSide->SetMarkerColor(caseId - 3);
+ awaySide->SetLineColor(caseId - 3);
+ awaySide->SetMarkerColor(caseId - 3);
+ }
+
+ awaySide->Print();
+
+ prevNear[k] = (TGraphErrors*) nearSide->DrawClone("PSAME");
+ prevAway[k] = (TGraphErrors*) awaySide->DrawClone("PSAME");
+
+ if (caseId == 4)
+ {
+ Printf("%d", k);
+ for (Int_t i=0; i<nearSide->GetN(); i++)
+ {
+ Printf("%f: %.0f%%", nearSide->GetX()[i], 100.0 * nearSide->GetEY()[i] / nearSide->GetY()[i]);
+ Printf("%f: %.0f%%", awaySide->GetX()[i], 100.0 * awaySide->GetEY()[i] / awaySide->GetY()[i]);
+ }
+ }
+ }
+ else
+ {
+ // CINT limitation here
+ tmp = yields[0][j][centralityList[k]]; nearSideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[1][j][centralityList[k]]; awaySideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+
+ tmp = yields[0][j][centralityList2[k]];
+ nearSidePeripheral = tmp[caseList[caseId]];
+ if (iaa && caseId == 3 && k >= 4)
+ nearSidePeripheral = tmp[caseList[caseId-1]];
+
+ tmp = yields[1][j][centralityList2[k]];
+ awaySidePeripheral = tmp[caseList[caseId]];
+ if (iaa && caseId == 3 && k >= 4)
+ awaySidePeripheral = tmp[caseList[caseId-1]];
+
+// nearSideCentral->Print();
+// nearSidePeripheral->Print();
+
+ if (k == 3)
+ currentDummy->GetYaxis()->SetTitle("I_{CP}");
+ else
+ currentDummy->GetYaxis()->SetTitle("I_{AA}");
+ currentDummy->GetYaxis()->SetRangeUser(0, max2[caseId]);
+
+ for (Int_t i=0; i<nearSideCentral->GetN(); i++)
+ {
+ if (i >= nearSidePeripheral->GetN())
+ {
+ nearSideCentral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ //Printf("near %d %f %f", i, nearSideCentral->GetY()[i], nearSidePeripheral->GetY()[i]);
+ if (nearSidePeripheral->GetY()[i] <= 1e-5 || nearSideCentral->GetY()[i] <= 1e-5)
+ {
+ nearSideCentral->RemovePoint(i);
+ nearSidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ nearSideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(nearSideCentral->GetEY()[i] / nearSideCentral->GetY()[i], 2) +
+ TMath::Power(nearSidePeripheral->GetEY()[i] / nearSidePeripheral->GetY()[i], 2) );
+
+ nearSideCentral->GetY()[i] /= nearSidePeripheral->GetY()[i];
+ nearSideCentral->GetY()[i] *= factors[k];
+
+ nearSideCentral->GetEY()[i] *= nearSideCentral->GetY()[i];
+ }
+ //Printf("done");
+
+ for (Int_t i=0; i<awaySideCentral->GetN(); i++)
+ {
+ if (i >= awaySidePeripheral->GetN())
+ {
+ awaySideCentral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ //Printf("away %d", i);
+ if (awaySidePeripheral->GetY()[i] <= 1e-5 || awaySideCentral->GetY()[i] <= 1e-5)
+ {
+ awaySideCentral->RemovePoint(i);
+ awaySidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ awaySideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(awaySideCentral->GetEY()[i] / awaySideCentral->GetY()[i], 2) +
+ TMath::Power(awaySidePeripheral->GetEY()[i] / awaySidePeripheral->GetY()[i], 2) );
+
+ awaySideCentral->GetY()[i] /= awaySidePeripheral->GetY()[i];
+ awaySideCentral->GetY()[i] *= factors[k];
+
+ awaySideCentral->GetEY()[i] *= awaySideCentral->GetY()[i];
+ }
+
+ if (caseId == 3)
+ {
+ nearSideCentral = (TGraphErrors*) nearSideCentral->Clone();
+ nearSideCentral->SetLineColor(1);
+ nearSideCentral->SetMarkerColor(1);
+
+ awaySideCentral = (TGraphErrors*) awaySideCentral->Clone();
+ awaySideCentral->SetLineColor(1);
+ awaySideCentral->SetMarkerColor(1);
+ }
+
+ if (caseId >= 4)
+ {
+ nearSideCentral = (TGraphErrors*) nearSideCentral->Clone();
+ nearSideCentral->SetLineColor(caseId - 3);
+ nearSideCentral->SetMarkerColor(caseId - 3);
+
+ awaySideCentral = (TGraphErrors*) awaySideCentral->Clone();
+ awaySideCentral->SetLineColor(caseId - 3);
+ awaySideCentral->SetMarkerColor(caseId - 3);
+ }
+
+ //Printf("%d", caseList[caseId]);
+
+// nearSideCentral->Print();
+
+ nearSideCentral->Draw("PSAME");
+ awaySideCentral->Draw("PSAME");
+
+ if (caseId == 3)
+ {
+ for (Int_t i=0; i<nearSideCentral->GetN(); i++)
+ Printf("Near, bin %d pt = %f, difference %.1f%%", i, nearSideCentral->GetX()[i], 100.0 - 100.0 * nearSideCentral->GetY()[i] / prevNear[k]->Eval(nearSideCentral->GetX()[i]));
+ for (Int_t i=0; i<awaySideCentral->GetN(); i++)
+ Printf("Away, bin %d pt = %f, difference %.1f%%", i, awaySideCentral->GetX()[i], 100.0 - 100.0 * awaySideCentral->GetY()[i] / prevAway[k]->Eval(awaySideCentral->GetX()[i]));
+ }
+
+ prevNear[k] = nearSideCentral;
+ prevAway[k] = awaySideCentral;
+ }
+ }
+ if (caseId == 0 && k == 0)
+ l->Draw();
+ }
+ }
+
+ c->SaveAs("yields.png");
+}
+
+void FitGaussians(const char* fileName, Bool_t flat)
+{
+ CreateYieldStructure();
+
+ aliceFile = TFile::Open(fileName);
+
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 3;
+
+ TCanvas* canvas = new TCanvas("FitGaussians", "FitGaussians", 1000, 700);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ TH1* first = 0;
+ for (Int_t aliceCentrality=0; aliceCentrality<4; aliceCentrality++)
+ {
+ Printf("%d %d %d", i, j, aliceCentrality);
+
+ canvas->cd(j+1 + (i) * maxAssocPt);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ //gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ hist = (TH1*) aliceFile->Get(Form("dphi_%d_%d_%d%s", i, j, aliceCentrality, (flat) ? "_fit_flat" : ""));
+ if (!hist)
+ continue;
+
+// hist->Rebin(2);
+
+ // two Gauss fits
+ gausFit = new TF1("gausFit", "[0] + gaus(1) + gaus(4)", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ gausFit->SetParameters(0, 1, 0, 1, 1, TMath::Pi(), 1);
+ gausFit->SetParLimits(0, -1, 10000);
+ gausFit->SetParLimits(1, 0.001, 10000);
+ gausFit->FixParameter(2, 0);
+ gausFit->SetParLimits(3, 0.05, 10);
+ gausFit->SetParLimits(4, 0.001, 10000);
+ gausFit->FixParameter(5, TMath::Pi());
+ gausFit->SetParLimits(6, 0.1, 10);
+
+ gausFit->SetLineWidth(1);
+ gausFit->SetLineColor(hist->GetLineColor());
+
+ hist->Fit(gausFit, "0RIQ");
+ gausFit->FixParameter(0, gausFit->GetParameter(0));
+ hist->Fit(gausFit, "RI", (aliceCentrality == 0) ? "" : "SAME");
+ //gausFit->DrawCopy("SAME");
+
+ // get pT,assoc
+ TPRegexp reg("(\\d+\\.\\d+) \\< p_\\{T,assoc\\} \\< (\\d+\\.\\d+)");
+ arr = reg.MatchS(hist->GetTitle(), "", 0, 10);
+ if (arr->GetEntries() != 3)
+ continue;
+
+ Float_t pt1 = atof(arr->At(1)->GetName());
+ Float_t pt2 = atof(arr->At(2)->GetName());
+
+ FillYield(i, aliceCentrality, (pt1 + pt2) / 2, (pt2 - pt1) / 2, 18, gausFit->GetParameter(3), gausFit->GetParError(3), gausFit->GetParameter(6), gausFit->GetParError(6));
+
+ if (!first)
+ first = hist;
+ else
+ first->GetYaxis()->SetRangeUser(TMath::Min(first->GetMinimum(), hist->GetMinimum()), TMath::Max(first->GetMaximum(), hist->GetMaximum()));
+ }
+ first->GetYaxis()->SetRangeUser(first->GetMinimum(), 2 * first->GetMaximum());
+
+// break;
+ }
+
+
+ // draw
+
+ for (Int_t j=0; j<maxLeadingPt; j++)
+ {
+ new TCanvas;
+
+ Int_t markers1[] = { 24, 25, 26, 30 };
+ Int_t markers2[] = { 20, 21, 22, 29 };
+ Int_t colors[] = { 1, 2, 3, 4 };
+
+ dummy = new TH2F("dummy", ";p_{T,assoc};", 100, 0, 10, 1000, 0, 1);
+ dummy->SetStats(0);
+ dummy->Draw();
+
+ for (Int_t k=0; k<4; k++) // centrality
+ {
+ // CINT limitation here
+ TGraphErrors** tmp = yields[0][j][k];
+ nearSide = tmp[18];
+ nearSide->SetMarkerStyle(markers1[k]);
+ nearSide->SetMarkerColor(colors[k]);
+ nearSide->SetLineColor(colors[k]);
+
+ TGraphErrors** tmp = yields[1][j][k];
+ awaySide = tmp[18];
+ awaySide->SetMarkerStyle(markers2[k]);
+ awaySide->SetMarkerColor(colors[k]);
+ awaySide->SetLineColor(colors[k]);
+
+ nearSide->DrawClone("PSAME");
+ awaySide->DrawClone("PSAME");
+ }
+ }
+}
+
+void TsallisExamples()
+{
+ tsallis = new TF1("tsallis", "[0] * (1-[2]*(1-[1])*x*x)**(1/(1-[1]))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+
+ Float_t q[] = { 1.0000001, 1.5, 2 };
+ Float_t beta[] = { 0.1, 1, 10, 100 };
+
+ dummy = new TH2F("dummy", "", 100, -0.5 * TMath::Pi(), 1.5 * TMath::Pi(), 100, 0, 1.2);
+ dummy->SetStats(0);
+ dummy->Draw();
+
+ legend = new TLegend(0.65, 0.5, 1, 1);
+ legend->SetFillColor(0);
+
+ for (Int_t i=0; i<3; i++)
+ for (Int_t j=0; j<4; j++)
+ {
+ tsallis->SetParameters(1, q[i], beta[j]);
+ tsallis->SetLineColor(i+1);
+ tsallis->SetLineStyle(j+1);
+
+ legend->AddEntry(tsallis->DrawCopy("SAME"), Form("q = %.1f, #beta = %.1f", q[i], beta[j]), "L");
+ }
+
+ legend->Draw();
+}
+
+void DrawTsallisParams()
+{
+ ReadYields();
+
+ c = new TCanvas("c", "c", 900, 600);
+ c->Divide(3, 2);
+
+ Int_t markers1[] = { 24, 25, 26, 30 };
+ Int_t markers2[] = { 20, 21, 22, 29 };
+ Int_t colors[] = { 1, 2, 3, 4 };
+ Int_t caseList[] = { 12, 13, 8, 6, 8, 9, 10, 11, 1, 7 };
+ const char* caseString[] = { "q", "beta" };
+ const char* centralityString[] = { "0-5%", "20-40%", "60-90%", "0-5% vs 20-40%", "0-5% vs 60-90%", "20-40% vs 60-90%" };
+
+ l = new TLegend(0.5, 0.5, 0.9, 0.9);
+ l->SetFillColor(0);
+
+ Float_t max[] = { 3, 1000 };
+ Float_t max2[] = { 5, 2 };
+
+ dummy = new TH2F("dummy", ";p_{T,assoc};", 100, 0, 20, 1000, 0, 1000);
+ dummy->SetStats(0);
+
+ for (Int_t caseId=0; caseId<2; caseId++) // case
+ {
+ for (Int_t k=0; k<3; k++) // centrality
+ {
+ c->cd(1 + k + caseId*3);
+
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, max[caseId]);
+ if (caseId == 1 && k < 3)
+ gPad->SetLogy();
+
+ latex = new TLatex(0.15, 0.95, Form("%s - %s", caseString[caseId], centralityString[k]));
+ latex->SetNDC();
+ latex->SetTextSize(0.05);
+ latex->Draw();
+
+ for (Int_t j=0; j<2; j++) // trigger pt
+ {
+ if (k < 3)
+ {
+ // CINT limitation here
+ TGraphErrors** tmp = yields[0][j][k];
+ nearSide = tmp[caseList[caseId]];
+ nearSide->SetMarkerStyle(markers1[j]);
+ nearSide->SetMarkerColor(colors[j]);
+ nearSide->SetLineColor(colors[j]);
+
+ if (caseId == 0 && k == 0)
+ l->AddEntry(nearSide, Form("trig pt bin %d", j), "P");
+
+ TGraphErrors** tmp = yields[1][j][k];
+ awaySide = tmp[caseList[caseId]];
+ awaySide->SetMarkerStyle(markers2[j]);
+ awaySide->SetMarkerColor(colors[j]);
+ awaySide->SetLineColor(colors[j]);
+
+ GraphShiftX(nearSide, -0.1 + j*0.1);
+ GraphShiftX(awaySide, -0.1 + j*0.1);
+
+ Printf("%d %d %d", caseId, j, k);
+ nearSide->Print();
+ awaySide->Print();
+
+ nearSide->DrawClone("PSAME");
+ awaySide->DrawClone("PSAME");
+ }
+ else
+ {
+ // CINT limitation here
+ if (k == 3)
+ {
+ tmp = yields[0][j][0]; nearSideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[1][j][0]; awaySideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[0][j][1]; nearSidePeripheral = tmp[caseList[caseId]];
+ tmp = yields[1][j][1]; awaySidePeripheral = tmp[caseList[caseId]];
+ }
+ else if (k == 4)
+ {
+ tmp = yields[0][j][0]; nearSideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[1][j][0]; awaySideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[0][j][2]; nearSidePeripheral = tmp[caseList[caseId]];
+ tmp = yields[1][j][2]; awaySidePeripheral = tmp[caseList[caseId]];
+ }
+ else if (k == 5)
+ {
+ tmp = yields[0][j][1]; nearSideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[1][j][1]; awaySideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[0][j][2]; nearSidePeripheral = tmp[caseList[caseId]];
+ tmp = yields[1][j][2]; awaySidePeripheral = tmp[caseList[caseId]];
+ }
+
+ currentDummy->GetYaxis()->SetTitle("I_{CP}");
+ currentDummy->GetYaxis()->SetRangeUser(0, max2[caseId]);
+
+ for (Int_t i=0; i<nearSideCentral->GetN(); i++)
+ {
+ //Printf("near %d %f %f", i, nearSideCentral->GetY()[i], nearSidePeripheral->GetY()[i]);
+ if (nearSidePeripheral->GetY()[i] <= 1e-5 || nearSideCentral->GetY()[i] <= 1e-5)
+ {
+ nearSideCentral->RemovePoint(i);
+ nearSidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ nearSideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(nearSideCentral->GetEY()[i] / nearSideCentral->GetY()[i], 2) +
+ TMath::Power(nearSidePeripheral->GetEY()[i] / nearSidePeripheral->GetY()[i], 2) );
+
+ nearSideCentral->GetY()[i] /= nearSidePeripheral->GetY()[i];
+
+ nearSideCentral->GetEY()[i] *= nearSideCentral->GetY()[i];
+ }
+ //Printf("done");
+
+ for (Int_t i=0; i<awaySideCentral->GetN(); i++)
+ {
+ //Printf("away %d", i);
+ if (awaySidePeripheral->GetY()[i] <= 1e-5 || awaySideCentral->GetY()[i] <= 1e-5)
+ {
+ awaySideCentral->RemovePoint(i);
+ awaySidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ awaySideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(awaySideCentral->GetEY()[i] / awaySideCentral->GetY()[i], 2) +
+ TMath::Power(awaySidePeripheral->GetEY()[i] / awaySidePeripheral->GetY()[i], 2) );
+
+ awaySideCentral->GetY()[i] /= awaySidePeripheral->GetY()[i];
+
+ awaySideCentral->GetEY()[i] *= awaySideCentral->GetY()[i];
+ }
+
+ if (caseId == 3)
+ {
+ nearSideCentral = (TGraphErrors*) nearSideCentral->Clone();
+ nearSideCentral->SetLineColor(1);
+ nearSideCentral->SetMarkerColor(1);
+
+ awaySideCentral = (TGraphErrors*) awaySideCentral->Clone();
+ awaySideCentral->SetLineColor(1);
+ awaySideCentral->SetMarkerColor(1);
+ }
+
+ if (caseId >= 4)
+ {
+ nearSideCentral = (TGraphErrors*) nearSideCentral->Clone();
+ nearSideCentral->SetLineColor(caseId - 3);
+ nearSideCentral->SetMarkerColor(caseId - 3);
+
+ awaySideCentral = (TGraphErrors*) awaySideCentral->Clone();
+ awaySideCentral->SetLineColor(caseId - 3);
+ awaySideCentral->SetMarkerColor(caseId - 3);
+ }
+
+ //Printf("%d", caseList[caseId]);
+
+ nearSideCentral->Draw("PSAME");
+ awaySideCentral->Draw("PSAME");
+ }
+ }
+ if (caseId == 0 && k == 0)
+ l->Draw();
+ }
+ }
+
+ c->SaveAs("tsallisparams.png");
+}
+
+void DrawYieldLHCRHIC_ICP(const char* fileName = "yields.root")
+{
+ Int_t caseId = 0;
+ Int_t caseList[] = { 18 };
+ Int_t j = 1;
+
+ ReadYields(fileName);
+
+ c = new TCanvas("lhc_rhic", "lhc_rhic", 800, 600);
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ dummy = new TH2F("dummy", ";p_{T,assoc};I_{CP}", 100, 0, 12, 1000, 0, 10);
+ dummy->SetStats(0);
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, 2);
+
+ TGraphErrors** tmp = yields[0][j][0]; nearSideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[1][j][0]; awaySideCentral = (TGraphErrors*) tmp[caseList[caseId]]->Clone();
+ tmp = yields[0][j][2]; nearSidePeripheral = tmp[caseList[caseId]];
+ tmp = yields[1][j][2]; awaySidePeripheral = tmp[caseList[caseId]];
+
+ for (Int_t i=0; i<nearSideCentral->GetN(); i++)
+ {
+ //Printf("near %d %f %f", i, nearSideCentral->GetY()[i], nearSidePeripheral->GetY()[i]);
+ if (nearSidePeripheral->GetY()[i] <= 1e-5 || nearSideCentral->GetY()[i] <= 1e-5)
+ {
+ nearSideCentral->RemovePoint(i);
+ nearSidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ nearSideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(nearSideCentral->GetEY()[i] / nearSideCentral->GetY()[i], 2) +
+ TMath::Power(nearSidePeripheral->GetEY()[i] / nearSidePeripheral->GetY()[i], 2) );
+
+ nearSideCentral->GetY()[i] /= nearSidePeripheral->GetY()[i];
+
+ nearSideCentral->GetEY()[i] *= nearSideCentral->GetY()[i];
+ }
+ //Printf("done");
+
+ for (Int_t i=0; i<awaySideCentral->GetN(); i++)
+ {
+ //Printf("away %d", i);
+ if (awaySidePeripheral->GetY()[i] <= 1e-5 || awaySideCentral->GetY()[i] <= 1e-5)
+ {
+ awaySideCentral->RemovePoint(i);
+ awaySidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ awaySideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(awaySideCentral->GetEY()[i] / awaySideCentral->GetY()[i], 2) +
+ TMath::Power(awaySidePeripheral->GetEY()[i] / awaySidePeripheral->GetY()[i], 2) );
+
+ awaySideCentral->GetY()[i] /= awaySidePeripheral->GetY()[i];
+
+ awaySideCentral->GetEY()[i] *= awaySideCentral->GetY()[i];
+ }
+
+ nearSideCentral->SetMarkerStyle(21);
+ nearSideCentral->SetLineColor(1);
+ nearSideCentral->SetMarkerColor(1);
+
+ awaySideCentral->SetMarkerStyle(25);
+ awaySideCentral->SetLineColor(1);
+ awaySideCentral->SetMarkerColor(1);
+
+ nearSideCentral->Draw("PSAME");
+ awaySideCentral->Draw("PSAME");
+
+ legend = new TLegend(0.4, 0.8, 0.99, 0.99);
+ legend->SetFillColor(0);
+ legend->AddEntry(nearSideCentral, "ALICE I_{CP} Near 8-15 GeV 0-5%/60-90%", "P");
+ legend->AddEntry(awaySideCentral, "ALICE I_{CP} Away 8-15 GeV 0-5%/60-90%", "P");
+
+ if (0)
+ {
+ nearSideCentral->Fit("pol1", "", "SAME", 4.5, 11.5);
+ awaySideCentral->Fit("pol1", "", "SAME", 4.5, 11.5);
+ nearSideCentral->GetFunction("pol1")->SetLineWidth(1);
+ awaySideCentral->GetFunction("pol1")->SetLineWidth(1);
+ }
+
+ if (0)
+ {
+ // RCP, ALICE
+ dndpt_central = ReadHepdata("raa_dndpt_central.txt", kFALSE, 3);
+ dndpt_peripheral = ReadHepdata("raa_dndpt_peripheral.txt", kFALSE, 3);
+
+ //dndpt_central->Print();
+ //dndpt_peripheral->Print();
+
+ // ratio of Ncoll (from paper)
+ // TODO there is also an uncertainty on that
+ Double_t scale = 1690. / 15.7;
+ Double_t scaleUnc = TMath::Sqrt(TMath::Power(131. / 1690., 2) + TMath::Power(0.7 / 15.7, 2));
+
+ for (Int_t i=0; i<dndpt_central->GetN(); i++)
+ {
+ dndpt_central->GetEY()[i] = TMath::Sqrt(TMath::Power(dndpt_central->GetEY()[i] / dndpt_central->GetY()[i], 2) +
+ TMath::Power(dndpt_peripheral->GetEY()[i] / dndpt_peripheral->GetY()[i], 2));
+ dndpt_central->GetY()[i] /= dndpt_peripheral->GetY()[i] * scale;
+ dndpt_central->GetEY()[i] *= dndpt_central->GetY()[i];
+ }
+
+ //new TCanvas;
+ //dndpt_central->Print();
+ //dndpt_central->Draw("AP");
+
+ dndpt_central->Draw("*SAME");
+
+ latex = new TLatex(0.34, 0.09, "9% N_{coll} scale uncertainty on R_{CP}");
+ latex->SetTextSize(0.03);
+ latex->Draw();
+
+ // RAA, ALICE
+ raa_central = ReadHepdata("raa_alice_central.txt", kFALSE, 3);
+ raa_central->SetMarkerStyle(20);
+ //raa_central->Draw("PSAME");
+
+ legend->AddEntry(dndpt_central, "ALICE R_{CP} 0-5%/70-80%", "P");
+ }
+
+ if (0)
+ {
+ // IAA, RHIC
+ // calculate ICP from IAA(0-20) / IAA (20-60)
+ // TODO only using uncertainties from IAA(0-20)
+ // TODO systematic uncertainty stored in graph with _sys appended
+ TFile::Open("rhic/pi0h_graphs.root");
+
+ for (Int_t i=0; i<3; i+=2)
+ {
+ // gIAA_<ptTrigBin>_<centBin>_<angularRegionBin>
+ central = (TGraphErrors*) gFile->Get(Form("gIAA_3_0_%d", i));
+ peripheral = (TGraphErrors*) gFile->Get(Form("gIAA_3_1_%d", i));
+
+ for (Int_t j=0; j<central->GetN(); j++)
+ {
+ central->GetY()[j] /= peripheral->GetY()[j];
+ central->GetEY()[j] /= peripheral->GetY()[j];
+ }
+
+ central->SetMarkerStyle((i == 0) ? 29 : 30);
+ central->SetMarkerColor(2);
+ central->SetLineColor(2);
+ central->Draw("PSAME");
+ legend->AddEntry(central, Form("PHENIX I_{CP} %s 9-12 GeV 0-20%/20-60%", (i == 0) ? "Near" : "Away"), "P");
+ }
+ }
+
+ legend->Draw();
+
+ c->SaveAs("icp.png");
+}
+
+TGraphErrors* GetRatio(const char* fileName, Int_t centrality1, Int_t centrality2, Int_t triggerId, Int_t caseId, Int_t side, const char* fileName2 = 0)
+{
+ // 0 = near side; 1 = away side
+
+ ReadYields(fileName);
+
+ TGraphErrors** tmp = yields[side][triggerId][centrality1];
+ nearSideCentral = (TGraphErrors*) tmp[caseId]->Clone();
+
+ if (fileName2)
+ ReadYields(fileName2);
+
+ tmp = yields[side][triggerId][centrality2];
+ nearSidePeripheral = (TGraphErrors*) tmp[caseId]->Clone();
+
+// Printf("%d %d", nearSideCentral->GetN(), nearSidePeripheral->GetN());
+
+ for (Int_t i=0; i<nearSideCentral->GetN(); i++)
+ {
+ if (nearSidePeripheral->GetY()[i] <= 1e-5 || nearSideCentral->GetY()[i] <= 1e-5)
+ {
+ nearSideCentral->RemovePoint(i);
+ nearSidePeripheral->RemovePoint(i);
+ i--;
+ continue;
+ }
+
+ if (nearSideCentral->GetX()[i] != nearSidePeripheral->GetX()[i])
+ {
+ Printf("Inconsistent x values %f %f", nearSideCentral->GetX()[i], nearSidePeripheral->GetX()[i]);
+ AliFatal("");
+ }
+
+// printf("%f %f %f", nearSideCentral->GetX()[i], nearSideCentral->GetY()[i], nearSidePeripheral->GetY()[i]);
+
+ nearSideCentral->GetEY()[i] = TMath::Sqrt(
+ TMath::Power(nearSideCentral->GetEY()[i] / nearSideCentral->GetY()[i], 2) +
+ TMath::Power(nearSidePeripheral->GetEY()[i] / nearSidePeripheral->GetY()[i], 2) );
+
+ nearSideCentral->GetY()[i] /= nearSidePeripheral->GetY()[i];
+ // scaling for IAA
+ if (centrality2 == 3)
+ nearSideCentral->GetY()[i] /= kPythiaScalingFactor;
+
+// Printf(" %f", nearSideCentral->GetY()[i]);
+
+ nearSideCentral->GetEY()[i] *= nearSideCentral->GetY()[i];
+ }
+
+ //nearSideCentral->GetXaxis()->SetTitle("p_{T, assoc}");
+ //nearSideCentral->GetYaxis()->SetTitle((centrality2 == 3) ? "I_{AA}" : "I_{CP}");
+
+ if (0 && side == 1 && centrality2 == 3)
+ {
+ Printf("\n\n\nWARNING !!! Fudging different away side acceptance (only for second file)\n\n\n");
+ ScaleGraph(nearSideCentral, 1.56);
+ }
+
+ return nearSideCentral;
+}
+
+TGraphErrors* GetIAA(const char* fileName, Int_t centrality, Int_t triggerId, Int_t caseId, Int_t side)
+{
+ return GetRatio(fileName, centrality, 3, triggerId, caseId, side);
+}
+
+TGraphErrors* GetICP(const char* fileName, Int_t triggerId, Int_t caseId, Int_t side)
+{
+ return GetRatio(fileName, 1, 2, triggerId, caseId, side);
+}
+
+void DrawYieldLHCRHIC_IAA(const char* fileName, Bool_t central, Bool_t rhic)
+{
+ Int_t caseId = 0;
+ Int_t caseList[] = { 18 };
+ Int_t j = 1;
+
+ ReadYields(fileName);
+
+ c = new TCanvas("lhc_rhic", "lhc_rhic", 800, 600);
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ dummy = new TH2F("dummy", ";p_{T,assoc};I_{AA}", 100, 0, 12, 1000, 0, 10);
+ dummy->SetStats(0);
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, 3);
+
+ Int_t nominatorBin = 0;
+ if (!central)
+ nominatorBin = 2;
+
+ nearSideCentral = GetIAA(fileName, nominatorBin, j, caseList[caseId], 0);
+ awaySideCentral = GetIAA(fileName, nominatorBin, j, caseList[caseId], 1);
+
+ nearSideCentral->SetMarkerStyle(21);
+ nearSideCentral->SetLineColor(1);
+ nearSideCentral->SetMarkerColor(1);
+
+ awaySideCentral->SetMarkerStyle(25);
+ awaySideCentral->SetLineColor(1);
+ awaySideCentral->SetMarkerColor(1);
+
+ nearSideCentral->Draw("PSAME");
+ awaySideCentral->Draw("PSAME");
+
+ legend = new TLegend(0.4, 0.8, 0.99, 0.99);
+ legend->SetFillColor(0);
+ legend->AddEntry(nearSideCentral, Form("ALICE I_{AA} Near 8-15 GeV %s%%/Pythia6", (central) ? "0-5" : "60-90"), "P");
+ legend->AddEntry(awaySideCentral, Form("ALICE I_{AA} Away 8-15 GeV %s%%/Pythia6", (central) ? "0-5" : "60-90"), "P");
+
+ if (rhic)
+ {
+ // IAA, RHIC
+ // systematic uncertainty stored in graph with _sys appended
+ TFile::Open("rhic/pi0h_graphs.root");
+
+ for (Int_t i=0; i<3; i+=2)
+ {
+ // gIAA_<ptTrigBin>_<centBin>_<angularRegionBin>
+ rhic_iaa = (TGraphErrors*) gFile->Get(Form("gIAA_2_%d_%d", (central) ? 0 : 1, i));
+ rhic_iaa_sys = (TGraphErrors*) gFile->Get(Form("gIAA_2_%d_%d_sys", (central) ? 0 : 1, i));
+
+ rhic_iaa->SetMarkerStyle((i == 0) ? 29 : 30);
+ rhic_iaa->SetMarkerColor(2);
+ rhic_iaa->SetLineColor(2);
+ rhic_iaa->Draw("PSAME");
+ rhic_iaa_sys->SetLineColor(2);
+ rhic_iaa_sys->SetMarkerColor(2);
+ rhic_iaa_sys->Draw("PSAME");
+ legend->AddEntry(rhic_iaa, Form("PHENIX I_{AA} %s 7-9 GeV %s%%/pp", (i == 0) ? "Near" : "Away", (central) ? "0-20" : "20-60"), "P");
+ }
+ for (Int_t i=0; i<3; i+=2)
+ {
+ // gIAA_<ptTrigBin>_<centBin>_<angularRegionBin>
+ rhic_iaa = (TGraphErrors*) gFile->Get(Form("gIAA_3_%d_%d", (central) ? 0 : 1, i));
+ rhic_iaa_sys = (TGraphErrors*) gFile->Get(Form("gIAA_3_%d_%d_sys", (central) ? 0 : 1, i));
+
+ rhic_iaa->SetMarkerStyle((i == 0) ? 20 : 24);
+ rhic_iaa->SetMarkerColor(4);
+ rhic_iaa->SetLineColor(4);
+ rhic_iaa->Draw("PSAME");
+ rhic_iaa_sys->SetLineColor(4);
+ rhic_iaa_sys->SetMarkerColor(4);
+ rhic_iaa_sys->Draw("PSAME");
+ legend->AddEntry(rhic_iaa, Form("PHENIX I_{AA} %s 9-12 GeV %s%%/pp", (i == 0) ? "Near" : "Away", (central) ? "0-20" : "20-60"), "P");
+ }
+ }
+
+ legend->Draw();
+
+ c->SaveAs("iaa.png");
+}
+
+void CompareIAAICP(const char* fileName1, const char* fileName2, Int_t nominatorBin, Int_t denominatorBin, Bool_t skipAway = kFALSE)
+{
+ Int_t j = 1;
+ Int_t caseId = 18;
+// caseId = 23; Printf("WARNING: Comparing case 23");
+ //Int_t caseId = 12;
+
+ nearSide1 = GetRatio(fileName1, nominatorBin, denominatorBin, j, caseId, 0);
+ if (!skipAway)
+ awaySide1 = GetRatio(fileName1, nominatorBin, denominatorBin, j, caseId, 1);
+ else
+ awaySide1 = new TGraphErrors;
+
+ kPythiaScalingFactor = 1;
+ nearSide2 = GetRatio(fileName2, nominatorBin, denominatorBin, j, caseId, 0);
+ if (!skipAway)
+ awaySide2 = GetRatio(fileName2, nominatorBin, denominatorBin, j, caseId, 1);
+ else
+ awaySide2 = new TGraphErrors;
+
+// Printf("\n\n\nWARNING !!! Fudging different away side acceptance (only for second file)\n\n\n");
+// ScaleGraph(awaySide2, 1.56);
+
+/* ScaleGraph(nearSide2, 1.33);
+ ScaleGraph(awaySide2, 1.33);*/
+
+ c = new TCanvas;
+ dummy = new TH2F("dummy", Form(";p_{T,assoc};%s", (denominatorBin == 3) ? "I_{AA}" : "I_{CP}"), 100, 2, 12, 1000, 0, 10);
+ dummy->SetStats(0);
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, 2.5);
+
+ nearSide1->SetMarkerStyle(21);
+ nearSide1->SetLineColor(1);
+ nearSide1->SetMarkerColor(1);
+
+ nearSide2->SetMarkerStyle(21);
+ nearSide2->SetLineColor(2);
+ nearSide2->SetMarkerColor(2);
+
+ awaySide1->SetMarkerStyle(25);
+ awaySide1->SetLineColor(1);
+ awaySide1->SetMarkerColor(1);
+
+ awaySide2->SetMarkerStyle(25);
+ awaySide2->SetLineColor(2);
+ awaySide2->SetMarkerColor(2);
+
+ RemovePointsBelowX(nearSide1, 3);
+ RemovePointsBelowX(nearSide2, 3);
+ RemovePointsBelowX(awaySide1, 3);
+ RemovePointsBelowX(awaySide2, 3);
+
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ nearSide1->DrawClone("PSAME");
+ awaySide1->DrawClone("PSAME");
+ nearSide2->DrawClone("PSAME");
+ awaySide2->DrawClone("PSAME");
+
+ new TCanvas;
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0.5, 1.5);
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ DivideGraphs(nearSide1, nearSide2);
+ DivideGraphs(awaySide1, awaySide2);
+
+ nearSide1->Draw("PSAME");
+ awaySide1->Draw("PSAME");
+
+ nearSide1->Fit("pol0", "", "SAME", 3.01, 9.99);
+ awaySide1->Fit("pol0", "", "SAME", 3.01, 9.99);
+}
+
+void ScaleGraph(TGraphErrors* graph, Float_t factor)
+{
+ for (Int_t i=0; i<graph->GetN(); i++)
+ {
+ graph->GetY()[i] *= factor;
+ graph->GetEY()[i] *= factor;
+ }
+}
+
+TGraphErrors* DrawBaselines(const char* fileName, Int_t numeratorBin, Int_t denominatorBin, Int_t side, Bool_t verbose = kTRUE)
+{
+ Int_t j = 1;
+
+ TGraphErrors* first = 0;
+ TGraphErrors* max = 0;
+
+ if (verbose)
+ {
+ c = new TCanvas;
+ dummy = new TH2F("dummy", Form(";p_{T,assoc};%s", (denominatorBin == 3) ? "I_{AA}" : "I_{CP}"), 100, 0, 12, 1000, 0, 10);
+ dummy->SetStats(0);
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, 3);
+
+ c2 = new TCanvas;
+ currentDummy = dummy->DrawCopy();
+ currentDummy->GetYaxis()->SetRangeUser(0, 2);
+ }
+
+// Int_t caseList[] = { 18, 19, 21, 22 };
+ //Int_t caseList[] = { 23, 24, 26, 27 };
+ Int_t caseList[] = { 18, 19, 22 };
+
+ for (Int_t caseId = 0; caseId < 3; caseId++)
+ {
+ graph = GetRatio(fileName, numeratorBin, denominatorBin, j, caseList[caseId], side);
+
+ graph->SetLineColor(caseId + 1);
+ graph->SetMarkerColor(caseId + 1);
+
+ RemovePointsBelowX(graph, 3);
+
+ if (verbose)
+ {
+ c->cd();
+ graph->DrawClone("*SAME");
+ }
+
+ if (!first)
+ {
+ first = graph;
+ max = (TGraphErrors*) graph->Clone();
+ for (Int_t i=0; i<max->GetN(); i++)
+ {
+ max->GetY()[i] = 0;
+ max->GetEY()[i] = 0;
+ }
+ }
+ else
+ {
+ DivideGraphs(graph, first);
+
+ if (verbose)
+ {
+ c2->cd();
+ graph->DrawClone("*SAME");
+ }
+
+ for (Int_t i=0; i<graph->GetN(); i++)
+ {
+ if (max->GetY()[i] < TMath::Abs(graph->GetY()[i] - 1))
+ max->GetY()[i] = TMath::Abs(graph->GetY()[i] - 1);
+ }
+ }
+ }
+
+ if (verbose)
+ {
+ new TCanvas;
+ max->Draw("A*");
+ }
+
+ max->GetXaxis()->SetTitle("p_{T, assoc}");
+ max->GetYaxis()->SetTitle((denominatorBin == 3) ? "Effect on I_{AA}" : "Effect on I_{CP}");
+ max->GetYaxis()->SetRangeUser(0, 0.4);
+
+ return max;
+}
+
+void DrawBaselinesAll(const char* fileName)
+{
+ c = new TCanvas("c", "c", 1000, 600);
+ c->Divide(4, 2);
+
+ for (Int_t i=0; i<2; i++)
+ {
+ c->cd(1+i*4); DrawBaselines(fileName, 0, 3, i, kFALSE)->Draw("A*"); gPad->SetGridy();
+ c->cd(2+i*4); DrawBaselines(fileName, 1, 3, i, kFALSE)->Draw("A*"); gPad->SetGridy();
+ c->cd(3+i*4); DrawBaselines(fileName, 2, 3, i, kFALSE)->Draw("A*"); gPad->SetGridy();
+ c->cd(4+i*4); DrawBaselines(fileName, 0, 2, i, kFALSE)->Draw("A*"); gPad->SetGridy();
+ }
+}
+
+TGraphErrors* DrawSystUncIAAPYTHIA(TGraphErrors* graph, Int_t iaa_icp, Int_t awaySide)
+{
+ // iaa = 0, icp = 1
+
+ Float_t baseline = 1;
+ if (awaySide == 0)
+ baseline = 0.07;
+ else if (awaySide == 1)
+ baseline = 0.2;
+
+ /*
+ Float_t reference = 0;
+ if (iaa_icp == 0)
+ reference = 0.13;
+ */
+
+ Float_t efficiency = 0.08;
+
+ Float_t centrality = 1;
+ if (iaa_icp == 0)
+ centrality = (awaySide == 0) ? 0.02 : 0.06;
+ else if (iaa_icp == 1)
+ centrality = (awaySide == 0) ? 0.04 : 0.08;
+
+ Float_t ptResolution = 0;
+
+ Float_t total = TMath::Sqrt(baseline * baseline + efficiency * efficiency + centrality * centrality + ptResolution * ptResolution);
+
+ Printf("Total syst: %f", total);
+
+ systUnc = (TGraphErrors*) graph->Clone();
+ for (Int_t i=0; i<systUnc->GetN(); i++)
+ {
+ systUnc->GetEY()[i] = systUnc->GetY()[i] * total;
+ systUnc->GetEX()[i] = 0;
+ }
+
+ //systUnc->Print();
+
+ systUnc->SetLineColor(kGray + 1);
+ systUnc->SetLineWidth(6);
+
+ systUnc->Draw("PSAME");
+
+ return systUnc;
+}
+
+TGraphErrors* DrawSystUncPreliminaries(TGraphErrors* graph, Int_t iaa_icp, Int_t awaySide, Int_t iaa, Bool_t central)
+{
+ // iaa = 0, icp = 1
+
+ Float_t baseline = 1;
+ if (awaySide == 0)
+ baseline = 0.05;
+ else if (awaySide == 1)
+ {
+ if (iaa == 0 && central || iaa == 1)
+ baseline = 0.2;
+ else if (iaa == 0 && !central)
+ baseline = 0.05;
+ else if (iaa == 2 && central)
+ baseline = 0.1;
+ }
+
+ /*
+ Float_t reference = 0;
+ if (iaa_icp == 0)
+ reference = 0.13;
+ */
+
+ Float_t efficiency = 0.08;
+ if (iaa_icp == 1)
+ efficiency = 0.05;
+
+ Float_t centrality = 1;
+ if (iaa_icp == 0)
+ centrality = 0.04;
+ else if (iaa_icp == 1)
+ centrality = 0.06;
+
+ Float_t ptResolution = 0.03;
+
+ Float_t integrationWindow = 0;
+ if (awaySide == 1)
+ integrationWindow = 0.03;
+
+ Float_t total = TMath::Sqrt(baseline * baseline + efficiency * efficiency + centrality * centrality + ptResolution * ptResolution + integrationWindow * integrationWindow);
+
+ Printf("Total syst: %f", total);
+
+ systUnc = (TGraphErrors*) graph->Clone();
+ for (Int_t i=0; i<systUnc->GetN(); i++)
+ {
+ systUnc->GetEY()[i] = systUnc->GetY()[i] * total;
+ systUnc->GetEX()[i] = 0;
+ }
+
+ //systUnc->Print();
+
+ systUnc->SetLineColor(kGray + 1);
+ systUnc->SetLineWidth(6);
+
+ systUnc->Draw("PSAME");
+
+ return systUnc;
+}
+
+TGraphErrors* DrawSystUnc(TGraphErrors* graph, Int_t iaa_icp, Int_t awaySide, Int_t iaa, Bool_t central, Float_t shift = 0.0)
+{
+ // iaa_icp: iaa = 0, icp = 1
+
+ Float_t baseline = 1;
+ if (awaySide == 0)
+ baseline = 0.05;
+ else if (awaySide == 1)
+ {
+ if (iaa == 0 && central || iaa == 1)
+ baseline = 0.2;
+ else if (iaa == 0 && !central)
+ baseline = 0.05;
+ else if (iaa == 2 && central)
+ baseline = 0.1;
+ }
+
+ /*
+ Float_t reference = 0;
+ if (iaa_icp == 0)
+ reference = 0.13;
+ */
+
+ Float_t efficiency = 0.04;
+
+ Float_t centrality = 1;
+ if (iaa_icp == 0)
+ centrality = 0.02;
+ else if (iaa_icp == 1)
+ centrality = 0.03;
+
+ Float_t ptResolution = 0;
+
+ Float_t integrationWindow = 0;
+ if (awaySide == 1)
+ integrationWindow = 0.03;
+
+ Float_t corrections = 1;
+ if (iaa_icp == 0)
+ corrections = 0.02;
+ else if (iaa_icp == 1)
+ corrections = 0.01;
+
+ Float_t twoTrack = 0.01;
+
+ Float_t total = TMath::Sqrt(baseline * baseline + efficiency * efficiency + centrality * centrality + ptResolution * ptResolution + integrationWindow * integrationWindow + corrections * corrections + twoTrack * twoTrack);
+
+ Printf("%f %f %f %f %f %f %f --> Total syst: %f", baseline, efficiency, centrality, ptResolution, integrationWindow, corrections, twoTrack, total);
+
+ systUnc = (TGraphErrors*) graph->Clone();
+ for (Int_t i=0; i<systUnc->GetN(); i++)
+ {
+ systUnc->GetEY()[i] = systUnc->GetY()[i] * total;
+ systUnc->GetEX()[i] = 0;
+ Printf("pt = %.2f y = %.2f +- %.2f (stat.) +- %.2f (syst.)", graph->GetX()[i] - shift, graph->GetY()[i], graph->GetEY()[i], systUnc->GetEY()[i]);
+ }
+
+ //systUnc->Print();
+
+ systUnc->SetLineColor(kGray + 1);
+ systUnc->SetLineWidth(4);
+
+ systUnc->Draw("PSAME e2");
+
+ return systUnc;
+}
+
+void IAA(const char* fileName, Int_t iaa, const char* fileNameEtaGap = 0)
+{
+ // iaa
+ // 0 = IAA LHC
+ // 1 = ICP
+ // 2 = IAA RHIC
+ // 3 = IAA LHC with theory
+
+ Bool_t showTheory = 0;
+ Bool_t showSTAR = 0;
+
+ if (iaa == 3)
+ {
+ showTheory = kTRUE;
+ iaa = 0;
+ }
+
+ if (iaa == 4)
+ {
+ showSTAR = kTRUE;
+ iaa = 0;
+ }
+
+ if (kPythiaScalingFactor != 1)
+ Printf("Using reference data scaling factor: %f", kPythiaScalingFactor);
+
+ style();
+
+ Int_t j = 1;
+ Int_t caseId[] = { 18, 23 };
+
+ c = new TCanvas((iaa != 1) ? ((iaa == 0) ? "iaa" : "iaarhic") : "icp", (iaa != 1) ? ((iaa == 0) ? "iaa" : "iaarhic") : "icp", 900, 450);
+ c->Range(0, 0, 1, 1);
+
+ TPad* pad1 = new TPad(Form("%s_2", fileName), "", 0, 0, 0.5, 1);
+ pad1->Draw();
+
+ TPad* pad2 = new TPad(Form("%s_1", fileName), "", 0.5, 0, 1, 1);
+ pad2->Draw();
+
+ pad1->cd();
+ gPad->SetRightMargin(0);
+ gPad->SetTopMargin(0.05);
+ gPad->SetLeftMargin(0.13);
+ //gPad->SetGridx();
+// gPad->SetGridy();
+
+ pad2->cd();
+ gPad->SetLeftMargin(0);
+ gPad->SetTopMargin(0.05);
+ gPad->SetRightMargin(0.13);
+ //gPad->SetGridx();
+// gPad->SetGridy();
+
+ pad1->cd();
+// dummy = new TH2F("dummy", Form(";p_{T,assoc} (GeV/c);%s", (iaa != 1) ? "I_{AA,Pythia}" : "I_{CP}"), 100, 1.5, 10.5, 1000, 0, 2.9);
+ dummy = new TH2F("dummy", Form(";p_{T,assoc} (GeV/#font[12]{c});%s", (iaa != 1) ? "I_{AA}" : "I_{CP}"), 100, 1.5, 10.5, 1000, 0, 2.4);
+ dummy->SetStats(0);
+// dummy->GetYaxis()->SetTitleOffset(1.3);
+ dummy->GetXaxis()->SetTitleOffset(1.1);
+ currentDummy = dummy->DrawCopy();
+
+ gStyle->SetTextAlign(13);
+
+ latex = new TLatex(0.17, 0.90, "Near-side_{ }");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+// if (iaa != 1)
+// {
+// box = new TBox(2, 0.87, 2.5, 1.13);
+// box->SetFillColor(kGray + 1);
+// box->SetLineColor(kGray + 1);
+// box->Draw();
+//
+// box2 = new TBox(2, 0.87 * 1.5, 2.5, 1.13 * 1.5);
+// box2->SetFillColor(kGray + 1);
+// box2->SetLineColor(kGray + 1);
+// box2->Draw();
+// }
+
+ pad2->cd();
+ currentDummy = dummy->DrawCopy();
+
+/* if (iaa != 1)
+ box->Draw();*/
+
+ latex = new TLatex(0.05, 0.90, "Away-side");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ legend = new TLegend(0.27, (showTheory) ? 0.60 : 0.62, (iaa != 2 && !showSTAR) ? 0.63 : 0.95, 0.77);
+ legend->SetFillColor(0);
+ legend->SetBorderSize(0);
+ legend->SetTextSize((iaa != 2) ? 0.04 : 0.035);
+
+ for (Int_t i=0; i<2; i++)
+ {
+ nearSideCentral = GetRatio(fileName, (iaa != 2) ? 0 : 1, (iaa != 1) ? 3 : 2, j, caseId[i], 0);
+ if (iaa == 0)
+ nearSidePeripheral = GetRatio(fileName, 2, 3, j, caseId[i], 0);
+ awaySideCentral = GetRatio(fileName, (iaa != 2) ? 0 : 1, (iaa != 1) ? 3 : 2, j, caseId[i], 1);
+ if (iaa == 0)
+ awaySidePeripheral = GetRatio(fileName, 2, 3, j, caseId[i], 1);
+
+ RemovePointsBelowX(nearSideCentral, 3);
+ RemovePointsBelowX(awaySideCentral, 3);
+ RemovePointsAboveX(nearSideCentral, 10);
+ RemovePointsAboveX(awaySideCentral, 10);
+
+ RemoveXErrors(nearSideCentral); RemoveXErrors(awaySideCentral);
+
+ if (iaa == 0)
+ {
+ RemovePointsBelowX(nearSidePeripheral, 3);
+ RemovePointsBelowX(awaySidePeripheral, 3);
+ RemovePointsAboveX(nearSidePeripheral, 10);
+ RemovePointsAboveX(awaySidePeripheral, 10);
+ ShiftPoints(nearSidePeripheral, 0.2);
+ ShiftPoints(awaySidePeripheral, 0.2);
+ RemoveXErrors(nearSidePeripheral); RemoveXErrors(awaySidePeripheral);
+ }
+
+ nearSideCentral->SetMarkerStyle(21);
+ nearSideCentral->SetLineColor(1);
+ nearSideCentral->SetMarkerColor(1);
+
+ awaySideCentral->SetMarkerStyle(21);
+ awaySideCentral->SetLineColor(1);
+ awaySideCentral->SetMarkerColor(1);
+
+ if (showTheory)
+ {
+ nearSideCentral->SetLineColor(2);
+ nearSideCentral->SetMarkerColor(2);
+ awaySideCentral->SetLineColor(2);
+ awaySideCentral->SetMarkerColor(2);
+ }
+
+ if (iaa == 0)
+ {
+ nearSidePeripheral->SetMarkerStyle(22);
+ nearSidePeripheral->SetLineColor(2);
+ nearSidePeripheral->SetMarkerColor(2);
+
+ awaySidePeripheral->SetMarkerStyle(22);
+ awaySidePeripheral->SetLineColor(2);
+ awaySidePeripheral->SetMarkerColor(2);
+ }
+
+ if (i == 0)
+ {
+// TString denominatorStr("Pythia");
+ TString denominatorStr("pp");
+ if (iaa == 0)
+ {
+ legend->AddEntry(nearSideCentral, Form("%s0-5% / %s", (showSTAR) ? "ALICE Pb-Pb 2.76 TeV " : "", denominatorStr.Data()), "P");
+ if (!showTheory)
+ legend->AddEntry(nearSidePeripheral, Form("%s60-90% / %s", (showSTAR) ? "ALICE Pb-Pb 2.76 TeV " : "", denominatorStr.Data()), "P");
+ }
+ else if (iaa == 2)
+ {
+// legend->AddEntry(nearSideCentral, Form("0-20% / %s", denominatorStr.Data()), "P");
+ legend->AddEntry(nearSideCentral, Form("ALICE 8 GeV/#font[12]{c} < p_{T,trig} < 15 GeV/#font[12]{c}", denominatorStr.Data()), "P");
+ }
+ }
+
+
+ const char* style = "PSAME";
+ if (i == 1)
+ style = "LSAMEX";
+
+ awaySideCentral->Print();
+
+ pad1->cd();
+ if (i == 0)
+ DrawSystUnc(nearSideCentral, (iaa == 1), 0, iaa, kTRUE);
+ nearSideCentral->DrawClone(style);
+ if (iaa == 0 && !showTheory)
+ {
+ if (i == 0)
+ DrawSystUnc(nearSidePeripheral, (iaa == 1), 0, iaa, kFALSE);
+ nearSidePeripheral->DrawClone(style);
+ }
+
+ pad2->cd();
+ if (i == 0)
+ DrawSystUnc(awaySideCentral, (iaa == 1), 1, iaa, kTRUE);
+ awaySideCentral->DrawClone(style);
+ if (iaa == 0 && !showTheory)
+ {
+ if (i == 0)
+ DrawSystUnc(awaySidePeripheral, (iaa == 1), 1, iaa, kFALSE);
+ awaySidePeripheral->DrawClone(style);
+ }
+ }
+
+ if (fileNameEtaGap)
+ {
+ pad1->cd();
+
+ nearSideEtaGapCentral = GetRatio(fileNameEtaGap, (iaa != 2) ? 0 : 1, (iaa != 1) ? 3 : 2, j, caseId[0], 0);
+ RemovePointsBelowX(nearSideEtaGapCentral, 3);
+ RemovePointsAboveX(nearSideEtaGapCentral, 10);
+ RemoveXErrors(nearSideEtaGapCentral);
+ nearSideEtaGapCentral->SetMarkerStyle(25);
+ nearSideEtaGapCentral->SetLineColor(1);
+ nearSideEtaGapCentral->SetMarkerColor(1);
+ nearSideEtaGapCentral->Draw("PSAME");
+
+ if (iaa != 1)
+ {
+ nearSideEtaGapPeripheral = GetRatio(fileNameEtaGap, 2, 3, j, caseId[0], 0);
+ RemovePointsBelowX(nearSideEtaGapPeripheral, 3);
+ RemovePointsAboveX(nearSideEtaGapPeripheral, 10);
+ RemoveXErrors(nearSideEtaGapPeripheral);
+ ShiftPoints(nearSideEtaGapPeripheral, 0.2);
+ nearSideEtaGapPeripheral->SetMarkerStyle(26);
+ nearSideEtaGapPeripheral->SetLineColor(2);
+ nearSideEtaGapPeripheral->SetMarkerColor(2);
+ nearSideEtaGapPeripheral->Draw("PSAME");
+ }
+ }
+
+ if (iaa == 2)
+ {
+ // IAA, RHIC, PHENIX
+ // systematic uncertainty stored in graph with _sys appended
+ TFile::Open("rhic/pi0h_graphs.root");
+
+ legend2 = new TLegend(0.5, 0.16, 0.96, 0.27);
+ legend2->SetFillColor(0);
+
+ for (Int_t ptTrigBin=2; ptTrigBin<4; ptTrigBin++)
+ {
+ Bool_t central = kTRUE;
+ for (Int_t i=0; i<3; i+=2)
+ {
+ // gIAA_<ptTrigBin>_<centBin>_<angularRegionBin>
+ rhic_iaa = (TGraphErrors*) gFile->Get(Form("gIAA_%d_%d_%d", ptTrigBin, (central) ? 0 : 1, i));
+ rhic_iaa_sys = (TGraphErrors*) gFile->Get(Form("gIAA_%d_%d_%d_sys", ptTrigBin, (central) ? 0 : 1, i));
+
+ rhic_iaa->SetMarkerStyle((ptTrigBin == 2) ? 20 : 33);
+ rhic_iaa->SetMarkerColor(2);
+ rhic_iaa->SetLineColor(2);
+ rhic_iaa_sys->SetLineColor(2);
+ rhic_iaa_sys->SetMarkerColor(2);
+
+ RemovePointsBelowX(rhic_iaa, 2);
+ RemovePointsBelowX(rhic_iaa_sys, 2);
+
+ Printf("RHIC:");
+ rhic_iaa->Print();
+ rhic_iaa_sys->Print();
+
+ ShiftPoints(rhic_iaa, -0.05 + 0.05 * (ptTrigBin*2-4));
+ ShiftPoints(rhic_iaa_sys, -0.05 + 0.05 * (ptTrigBin*2-4));
+
+ if (i == 0)
+ pad1->cd();
+ else if (i == 2)
+ pad2->cd();
+ rhic_iaa->Draw("PSAME");
+ rhic_iaa_sys->Draw("PSAME");
+
+ if (i == 0)
+ legend->AddEntry(rhic_iaa, Form("PHENIX %s GeV/c < p_{T,trig} < %s GeV/c", (ptTrigBin == 2) ? "7" : "9", (ptTrigBin == 2) ? "9" : "12", (central) ? "0-20" : "20-60"), "P");
+// legend->AddEntry(rhic_iaa, Form("PHENIX %s GeV/c < p_{T,trig} < %s GeV/c %s%% / pp", (ptTrigBin == 2) ? "7" : "9", (ptTrigBin == 2) ? "9" : "12", (central) ? "0-20" : "20-60"), "P");
+ }
+ }
+
+// pad1->cd();
+// legend2->Draw();
+ }
+
+ if (iaa == 0 && showSTAR)
+ {
+ for (Int_t i=0; i<2; i++)
+ {
+ const char* centralityStr = "05";
+ if (i == 1)
+ centralityStr = "4080";
+
+ // IAA, RHIC, STAR
+ // systematic uncertainty stored in graph with _sys appended
+ nearSide = ReadHepdata(Form("rhic/star_iaa_%s_near.txt", centralityStr));
+ awaySide = ReadHepdata(Form("rhic/star_iaa_%s_away.txt", centralityStr));
+
+ nearSide->SetMarkerStyle(20 + i * 13);
+ nearSide->SetMarkerColor(4);
+ nearSide->SetLineColor(4);
+
+ awaySide->SetMarkerStyle(20 + i * 13);
+ awaySide->SetMarkerColor(4);
+ awaySide->SetLineColor(4);
+
+ ShiftPoints(nearSide, -0.1 + 0.2 * i);
+ ShiftPoints(awaySide, -0.1 + 0.2 * i);
+
+ pad1->cd();
+ nearSide->Draw("PSAME");
+ pad2->cd();
+ awaySide->Draw("PSAME");
+
+ legend->AddEntry(nearSide, Form("STAR Au-Au 0.2 TeV %s / dAu", (i == 0) ? "0-5%" : "40-80%"), "P");
+ }
+ }
+
+ // Theory predictions
+ if (showTheory && iaa == 0)
+ {
+ const char* theoryList[] = { "AdS", "ASW", "YaJEM", "YaJEM-D", "XinNian" };
+ Int_t nTheory = 5;
+ Int_t markers[] = { 27, 28, 29, 30, 34 };
+
+ for (Int_t i=0; i<nTheory; i++)
+ {
+ nearSide = ReadHepdata(Form("theory/IAA_near_%s.dat", theoryList[i]));
+ awaySide = ReadHepdata(Form("theory/IAA_away_%s.dat", theoryList[i]));
+
+ nearSide->SetMarkerStyle(markers[i]);
+ awaySide->SetMarkerStyle(markers[i]);
+
+ RemovePointsBelowX(nearSide, 3);
+ RemovePointsBelowX(awaySide, 3);
+
+ Float_t shiftBy = (i % 2 == 0) ? -0.2 : 0.2;
+ ShiftPoints(nearSide, shiftBy);
+ ShiftPoints(awaySide, shiftBy);
+
+ pad1->cd();
+ nearSide->Draw("PSAME");
+
+ pad2->cd();
+ awaySide->Draw("PSAME");
+
+ if (i == 0)
+ theoryList[i] = "AdS/CFT";
+ if (i == 4)
+ theoryList[i] = "X-N Wang";
+ legend->AddEntry(nearSide, theoryList[i], "P");
+ }
+ }
+
+ for (Int_t i=0; i<2; i++)
+ {
+ if (i == 0)
+ pad1->cd();
+ else
+ pad2->cd();
+
+ Float_t xC = 0.05;
+ if (i == 0)
+ xC = 0.17;
+
+ if (iaa == 2)
+ latex = new TLatex(xC, 0.84, "0-20% / pp");
+ else
+ latex = new TLatex(0.35+xC, 0.9, "8 GeV/#font[12]{c} < p_{T,trig} < 15 GeV/#font[12]{c}");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+
+ line = new TLine(1.5, 1, 10.5, 1);
+ line->SetLineStyle(2);
+ line->Draw();
+
+ if (iaa == 1)
+ {
+ latex = new TLatex(xC, 0.84, "0-5% / 60-90%");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+ }
+
+ latex = new TLatex(0.65+xC, 0.90, "ALICE");
+// latex = new TLatex(0.5+xC, 0.90, "-- work in progress --");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 1)
+ latex->Draw();
+
+ latex = new TLatex(0.35+xC, 0.84, "p_{T,assoc} < p_{T,trig}");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+
+ if (iaa == 1 || iaa == 0)
+ {
+ if (iaa == 0 && showSTAR)
+ latex = new TLatex(0.3+xC, 0.90, "|#eta| < 1.0");
+ else
+ latex = new TLatex(xC + 0.65, 0.20, "|#eta| < 1.0");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+ }
+
+ if (iaa == 1 || (iaa == 0 && !showSTAR))
+ {
+ latex = new TLatex(0.5+xC, 0.72, "Pb-Pb 2.76 TeV");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+// latex->Draw();
+ }
+
+ if (iaa == 2)
+ {
+ if (i == 0)
+ latex = new TLatex(0.5, 0.24, "ALICE: Pb-Pb 2.76 TeV |#eta| < 1.0");
+ else
+ latex = new TLatex(xC, 0.6, "ALICE: Pb-Pb 2.76 TeV |#eta| < 1.0");
+ latex->SetTextSize(0.035);
+ latex->SetNDC();
+ latex->Draw();
+
+ if (i == 0)
+ latex = new TLatex(0.5, 0.18, "PHENIX: Au-Au 0.2 TeV |#eta| < 0.35");
+ else
+ latex = new TLatex(xC, 0.54, "PHENIX: Au-Au 0.2 TeV |#eta| < 0.35");
+ latex->SetTextSize(0.035);
+ latex->SetNDC();
+ latex->Draw();
+ }
+
+ if (showTheory && iaa == 0 && i == 1)
+ latex = new TLatex(xC, 0.18, "Points: flat pedestal");
+ else
+ latex = new TLatex(xC + 0.5 * i, 0.26, "Points: flat pedestal");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+
+ latex = new TLatex(xC + 0.5 * i, 0.20, "Line: v_{2} subtracted");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+
+ if (iaa != 1 && i == 1)
+ {
+ legendClone = (TLegend*) legend->DrawClone();
+ if (showTheory && iaa == 0 && i == 0)
+ legendClone->GetListOfPrimitives()->RemoveLast();
+// else
+// legendClone->SetY1(legendClone->GetY1()-0.05);
+
+ legend->SetX1(legend->GetX1()-0.12);
+ legend->SetX2(legend->GetX2()-0.12);
+ }
+
+/* if (i == 0 && iaa != 2)
+ DrawALICELogo(0.83,0.15,0.98,0.30);
+ else
+ DrawALICELogo(0.62 + xC,0.48,0.77 + xC,0.63);*/
+ }
+
+ c->SaveAs(Form("%s.eps", c->GetTitle()));
+ c->SaveAs(Form("%s.png", c->GetTitle()));
+}
+
+void IAAPaper(const char* fileName, Int_t iaa, const char* fileNameEtaGap = 0)
+{
+ // iaa
+ // 0 = IAA LHC
+ // 1 = ICP
+
+ Bool_t showTheory = 0;
+ Bool_t showSTAR = 0;
+
+ if (iaa == 3)
+ {
+ showTheory = kTRUE;
+ iaa = 0;
+ }
+
+ if (iaa == 4)
+ {
+ showSTAR = kTRUE;
+ iaa = 0;
+ }
+
+ if (kPythiaScalingFactor != 1)
+ Printf("Using reference data scaling factor: %f", kPythiaScalingFactor);
+
+ style();
+
+ Int_t j = 1;
+ Int_t caseId[] = { 18, 23 };
+
+ c = new TCanvas((iaa != 1) ? ((iaa == 0) ? "iaa" : "iaarhic") : "icp", (iaa != 1) ? ((iaa == 0) ? "iaa" : "iaarhic") : "icp", 900, 450);
+ c->Range(0, 0, 1, 1);
+
+ TPad* pad1 = new TPad(Form("%s_2", fileName), "", 0, 0, 0.5, 1);
+ pad1->Draw();
+
+ TPad* pad2 = new TPad(Form("%s_1", fileName), "", 0.5, 0, 1, 1);
+ pad2->Draw();
+
+ pad1->cd();
+ gPad->SetRightMargin(0);
+ gPad->SetTopMargin(0.05);
+ gPad->SetLeftMargin(0.13);
+ //gPad->SetGridx();
+// gPad->SetGridy();
+
+ pad2->cd();
+ gPad->SetLeftMargin(0);
+ gPad->SetTopMargin(0.05);
+ gPad->SetRightMargin(0.13);
+ //gPad->SetGridx();
+// gPad->SetGridy();
+
+ pad1->cd();
+// dummy = new TH2F("dummy", Form(";p_{T,assoc} (GeV/c);%s", (iaa != 1) ? "I_{AA,Pythia}" : "I_{CP}"), 100, 1.5, 10.5, 1000, 0, 2.9);
+ dummy = new TH2F("dummy", Form(";#font[12]{p}_{t,assoc} (GeV/#font[12]{c});%s", (iaa != 1) ? "#font[12]{I}_{AA}" : "#font[12]{I}_{CP} (0-5% / 60-90%)"), 100, 1.5, 10.5, 1000, 0, 2.4);
+ dummy->SetStats(0);
+// dummy->GetYaxis()->SetTitleOffset(1.3);
+ dummy->GetXaxis()->SetTitleOffset(1.1);
+ currentDummy = dummy->DrawCopy();
+
+ gStyle->SetTextAlign(13);
+
+ latex = new TLatex(0.17, 0.90, "Near-side_{ }");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.17, /*(iaa == 1) ? 0.78 :*/ 0.84, "#sqrt{#font[12]{s}_{NN}} = 2.76 TeV");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.17, 0.2, (iaa == 1) ? "b)" : "a)");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+// if (iaa != 1)
+// {
+// box = new TBox(2, 0.87, 2.5, 1.13);
+// box->SetFillColor(kGray + 1);
+// box->SetLineColor(kGray + 1);
+// box->Draw();
+//
+// box2 = new TBox(2, 0.87 * 1.5, 2.5, 1.13 * 1.5);
+// box2->SetFillColor(kGray + 1);
+// box2->SetLineColor(kGray + 1);
+// box2->Draw();
+// }
+
+ pad2->cd();
+ currentDummy = dummy->DrawCopy();
+
+/* if (iaa != 1)
+ box->Draw();*/
+
+ latex = new TLatex(0.05, 0.90, "Away-side");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ if (iaa == 1)
+ legend = new TLegend(0.22, 0.60, 0.67, 0.73);
+ else
+ legend = new TLegend(0.12, 0.60, 0.76, 0.79);
+ legend->SetFillColor(0);
+ legend->SetBorderSize(0);
+ legend->SetTextSize((iaa != 2) ? 0.04 : 0.035);
+
+ for (Int_t i=0; i<2; i++)
+ {
+ nearSideCentral = GetRatio(fileName, (iaa != 2) ? 0 : 1, (iaa != 1) ? 3 : 2, j, caseId[i], 0);
+ if (iaa == 0)
+ nearSidePeripheral = GetRatio(fileName, 2, 3, j, caseId[i], 0);
+ awaySideCentral = GetRatio(fileName, (iaa != 2) ? 0 : 1, (iaa != 1) ? 3 : 2, j, caseId[i], 1);
+ if (iaa == 0)
+ awaySidePeripheral = GetRatio(fileName, 2, 3, j, caseId[i], 1);
+
+ RemovePointsBelowX(nearSideCentral, 3);
+ RemovePointsBelowX(awaySideCentral, 3);
+ RemovePointsAboveX(nearSideCentral, 10);
+ RemovePointsAboveX(awaySideCentral, 10);
+
+ ShiftPoints(nearSideCentral, -0.05);
+ ShiftPoints(awaySideCentral, -0.05);
+
+ if (i == 1)
+ {
+ ShiftPoints(nearSideCentral, -0.2);
+ ShiftPoints(awaySideCentral, -0.2);
+
+ if (iaa == 0)
+ {
+ ShiftPoints(nearSidePeripheral, 0.2);
+ ShiftPoints(awaySidePeripheral, 0.2);
+ }
+ }
+
+ RemoveXErrors(nearSideCentral); RemoveXErrors(awaySideCentral);
+
+ if (iaa == 0)
+ {
+ RemovePointsBelowX(nearSidePeripheral, 3);
+ RemovePointsBelowX(awaySidePeripheral, 3);
+ RemovePointsAboveX(nearSidePeripheral, 10);
+ RemovePointsAboveX(awaySidePeripheral, 10);
+ ShiftPoints(nearSidePeripheral, 0.05);
+ ShiftPoints(awaySidePeripheral, 0.05);
+ RemoveXErrors(nearSidePeripheral); RemoveXErrors(awaySidePeripheral);
+ }
+
+ nearSideCentral->SetMarkerStyle((i == 0) ? 25 : 27);
+ nearSideCentral->SetLineColor(1);
+ nearSideCentral->SetMarkerColor(1);
+
+ awaySideCentral->SetMarkerStyle((i == 0) ? 25 : 27);
+ awaySideCentral->SetLineColor(1);
+ awaySideCentral->SetMarkerColor(1);
+
+ if (showTheory)
+ {
+ nearSideCentral->SetLineColor(2);
+ nearSideCentral->SetMarkerColor(2);
+ awaySideCentral->SetLineColor(2);
+ awaySideCentral->SetMarkerColor(2);
+ }
+
+ if (iaa == 0)
+ {
+ nearSidePeripheral->SetMarkerStyle((i == 0) ? 21 : 33);
+ nearSidePeripheral->SetLineColor(2);
+ nearSidePeripheral->SetMarkerColor(2);
+
+ awaySidePeripheral->SetMarkerStyle((i == 0) ? 21 : 33);
+ awaySidePeripheral->SetLineColor(2);
+ awaySidePeripheral->SetMarkerColor(2);
+ }
+
+// if (i == 0)
+ {
+// TString denominatorStr("Pythia");
+ TString denominatorStr("pp");
+ if (iaa == 0)
+ {
+ legend->SetHeader("0-5% Pb-Pb/pp 60-90% Pb-Pb/pp");
+ legend->SetNColumns(2);
+ }
+ legend->AddEntry(nearSideCentral, (i == 0) ? "Flat bkg" : "#font[12]{v}_{2} bkg", "P");
+ if (iaa == 0)
+ legend->AddEntry(nearSidePeripheral, (i == 0) ? "Flat bkg" : "#font[12]{v}_{2} bkg", "P");
+
+// legend->AddEntry(nearSideCentral, Form("%s0-5% / %s", (showSTAR) ? "ALICE Pb-Pb 2.76 TeV " : "", denominatorStr.Data()), "P");
+// if (!showTheory)
+// legend->AddEntry(nearSidePeripheral, Form("%s60-90% / %s", (showSTAR) ? "ALICE Pb-Pb 2.76 TeV " : "", denominatorStr.Data()), "P");
+ if (iaa == 2)
+ {
+// legend->AddEntry(nearSideCentral, Form("0-20% / %s", denominatorStr.Data()), "P");
+ legend->AddEntry(nearSideCentral, Form("ALICE 8 GeV/#font[12]{c} < p_{T,trig} < 15 GeV/#font[12]{c}", denominatorStr.Data()), "P");
+ }
+ }
+
+
+ const char* style = "PSAME";
+// if (i == 1)
+// style = "LSAMEX";
+
+ pad1->cd();
+// if (i == 0)
+ DrawSystUnc(nearSideCentral, (iaa == 1), 0, iaa, kTRUE, -0.05 - 0.2 * i);
+ nearSideCentral->DrawClone(style);
+ if (iaa == 0 && !showTheory)
+ {
+// if (i == 0)
+ DrawSystUnc(nearSidePeripheral, (iaa == 1), 0, iaa, kFALSE, 0.05 + ((iaa == 0) ? i * 0.2 : 0));
+ nearSidePeripheral->DrawClone(style);
+ }
+
+ pad2->cd();
+// if (i == 0)
+ DrawSystUnc(awaySideCentral, (iaa == 1), 1, iaa, kTRUE, -0.05 - 0.2 * i);
+ awaySideCentral->DrawClone(style);
+ if (iaa == 0 && !showTheory)
+ {
+// if (i == 0)
+ DrawSystUnc(awaySidePeripheral, (iaa == 1), 1, iaa, kFALSE, 0.05 + ((iaa == 0) ? i * 0.2 : 0));
+ awaySidePeripheral->DrawClone(style);
+ }
+ }
+
+ if (fileNameEtaGap)
+ {
+ pad1->cd();
+
+ nearSideEtaGapCentral = GetRatio(fileNameEtaGap, (iaa != 2) ? 0 : 1, (iaa != 1) ? 3 : 2, j, caseId[0], 0);
+ RemovePointsBelowX(nearSideEtaGapCentral, 3);
+ RemovePointsAboveX(nearSideEtaGapCentral, 10);
+ RemoveXErrors(nearSideEtaGapCentral);
+ nearSideEtaGapCentral->SetMarkerStyle(24);
+ nearSideEtaGapCentral->SetLineColor(1);
+ nearSideEtaGapCentral->SetMarkerColor(1);
+ ShiftPoints(nearSideEtaGapCentral, -0.45);
+ DrawSystUnc(nearSideEtaGapCentral, (iaa == 1), 0, iaa, kTRUE, -0.45);
+ nearSideEtaGapCentral->Draw("PSAME");
+
+ legend->AddEntry(nearSideEtaGapCentral, "#font[12]{#eta}-gap", "P");
+
+
+ if (iaa != 1)
+ {
+ nearSideEtaGapPeripheral = GetRatio(fileNameEtaGap, 2, 3, j, caseId[0], 0);
+ RemovePointsBelowX(nearSideEtaGapPeripheral, 3);
+ RemovePointsAboveX(nearSideEtaGapPeripheral, 10);
+ RemoveXErrors(nearSideEtaGapPeripheral);
+ nearSideEtaGapPeripheral->SetMarkerStyle(20);
+ nearSideEtaGapPeripheral->SetLineColor(2);
+ nearSideEtaGapPeripheral->SetMarkerColor(2);
+ ShiftPoints(nearSideEtaGapPeripheral, 0.45);
+ DrawSystUnc(nearSideEtaGapPeripheral, (iaa == 1), 0, iaa, kFALSE, 0.45);
+ nearSideEtaGapPeripheral->Draw("PSAME");
+
+ legend->AddEntry(nearSideEtaGapPeripheral, "#font[12]{#eta}-gap", "P");
+ }
+ }
+
+ if (0 && iaa == 0)
+ {
+ // add pythia line showing gluon filtering
+ // from Jan Rak, by mail, 22.09.11
+ // pp CF calculated without any adjustment
+ // AA CF also no adjustment. Particles (h+-) in acceptance are identified with their parent string parton (status 71)
+ // and the flavor of parent hard outgoing parton (status 23) which is the parent of string parton 71 is checked.
+ // If it is a gluon the particle is ignored.
+
+ Float_t xVal[] = { 3.5, 4.5, 5.5, 7, 9};
+ Float_t yVal[] = { 0.779418, 0.794234, 0.82759, 0.856457, 0.880526 };
+ gluonfiltering = new TGraph(5, xVal, yVal);
+ pad1->cd();
+ gluonfiltering->Draw("L");
+
+ legend3 = new TLegend(0.38, 0.15, 0.58, 0.25);
+ legend3->SetFillColor(0);
+ legend3->SetBorderSize(0);
+ legend3->SetTextSize(0.04);
+ legend3->AddEntry(gluonfiltering, "PYTHIA quark-only fragmentation", "L");
+ legend3->Draw();
+ }
+
+ if (iaa == 2)
+ {
+ // IAA, RHIC, PHENIX
+ // systematic uncertainty stored in graph with _sys appended
+ TFile::Open("rhic/pi0h_graphs.root");
+
+ legend2 = new TLegend(0.5, 0.16, 0.96, 0.27);
+ legend2->SetFillColor(0);
+
+ for (Int_t ptTrigBin=2; ptTrigBin<4; ptTrigBin++)
+ {
+ Bool_t central = kTRUE;
+ for (Int_t i=0; i<3; i+=2)
+ {
+ // gIAA_<ptTrigBin>_<centBin>_<angularRegionBin>
+ rhic_iaa = (TGraphErrors*) gFile->Get(Form("gIAA_%d_%d_%d", ptTrigBin, (central) ? 0 : 1, i));
+ rhic_iaa_sys = (TGraphErrors*) gFile->Get(Form("gIAA_%d_%d_%d_sys", ptTrigBin, (central) ? 0 : 1, i));
+
+ rhic_iaa->SetMarkerStyle((ptTrigBin == 2) ? 20 : 33);
+ rhic_iaa->SetMarkerColor(2);
+ rhic_iaa->SetLineColor(2);
+ rhic_iaa_sys->SetLineColor(2);
+ rhic_iaa_sys->SetMarkerColor(2);
+
+ ShiftPoints(rhic_iaa, -0.05 + 0.05 * (ptTrigBin*2-4));
+ ShiftPoints(rhic_iaa_sys, -0.05 + 0.05 * (ptTrigBin*2-4));
+
+ if (i == 0)
+ pad1->cd();
+ else if (i == 2)
+ pad2->cd();
+ rhic_iaa->Draw("PSAME");
+ rhic_iaa_sys->Draw("PSAME");
+
+ if (i == 0)
+ legend->AddEntry(rhic_iaa, Form("PHENIX %s GeV/c < p_{T,trig} < %s GeV/c", (ptTrigBin == 2) ? "7" : "9", (ptTrigBin == 2) ? "9" : "12", (central) ? "0-20" : "20-60"), "P");
+// legend->AddEntry(rhic_iaa, Form("PHENIX %s GeV/c < p_{T,trig} < %s GeV/c %s%% / pp", (ptTrigBin == 2) ? "7" : "9", (ptTrigBin == 2) ? "9" : "12", (central) ? "0-20" : "20-60"), "P");
+ }
+ }
+
+// pad1->cd();
+// legend2->Draw();
+ }
+
+ if (iaa == 0 && showSTAR)
+ {
+ for (Int_t i=0; i<2; i++)
+ {
+ const char* centralityStr = "05";
+ if (i == 1)
+ centralityStr = "4080";
+
+ // IAA, RHIC, STAR
+ // systematic uncertainty stored in graph with _sys appended
+ nearSide = ReadHepdata(Form("rhic/star_iaa_%s_near.txt", centralityStr));
+ awaySide = ReadHepdata(Form("rhic/star_iaa_%s_away.txt", centralityStr));
+
+ nearSide->SetMarkerStyle(20 + i * 13);
+ nearSide->SetMarkerColor(4);
+ nearSide->SetLineColor(4);
+
+ awaySide->SetMarkerStyle(20 + i * 13);
+ awaySide->SetMarkerColor(4);
+ awaySide->SetLineColor(4);
+
+ ShiftPoints(nearSide, -0.1 + 0.2 * i);
+ ShiftPoints(awaySide, -0.1 + 0.2 * i);
+
+ pad1->cd();
+ nearSide->Draw("PSAME");
+ pad2->cd();
+ awaySide->Draw("PSAME");
+
+ legend->AddEntry(nearSide, Form("STAR Au-Au 0.2 TeV %s / dAu", (i == 0) ? "0-5%" : "40-80%"), "P");
+ }
+ }
+
+ // Theory predictions
+ if (showTheory && iaa == 0)
+ {
+ const char* theoryList[] = { "AdS", "ASW", "YaJEM", "YaJEM-D", "XinNian" };
+ Int_t nTheory = 5;
+ Int_t markers[] = { 27, 28, 29, 30, 34 };
+
+ for (Int_t i=0; i<nTheory; i++)
+ {
+ nearSide = ReadHepdata(Form("theory/IAA_near_%s.dat", theoryList[i]));
+ awaySide = ReadHepdata(Form("theory/IAA_away_%s.dat", theoryList[i]));
+
+ nearSide->SetMarkerStyle(markers[i]);
+ awaySide->SetMarkerStyle(markers[i]);
+
+ RemovePointsBelowX(nearSide, 3);
+ RemovePointsBelowX(awaySide, 3);
+
+ Float_t shiftBy = (i % 2 == 0) ? -0.2 : 0.2;
+ ShiftPoints(nearSide, shiftBy);
+ ShiftPoints(awaySide, shiftBy);
+
+ pad1->cd();
+ nearSide->Draw("PSAME");
+
+ pad2->cd();
+ awaySide->Draw("PSAME");
+
+ if (i == 0)
+ theoryList[i] = "AdS/CFT";
+ if (i == 4)
+ theoryList[i] = "X-N Wang";
+ legend->AddEntry(nearSide, theoryList[i], "P");
+ }
+ }
+
+ for (Int_t i=0; i<2; i++)
+ {
+ if (i == 0)
+ pad1->cd();
+ else
+ pad2->cd();
+
+ Float_t xC = 0.05;
+ if (i == 0)
+ xC = 0.17;
+
+ if (iaa == 2)
+ latex = new TLatex(xC, 0.84, "0-20% / pp");
+ else
+ latex = new TLatex(0.35+xC, 0.9, "8 GeV/#font[12]{c} < #font[12]{p}_{t,trig} < 15 GeV/#font[12]{c}");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+
+ line = new TLine(1.5, 1, 10.5, 1);
+ line->SetLineStyle(2);
+ line->Draw();
+
+// if (iaa == 1 && i == 0)
+// {
+// latex = new TLatex(xC, 0.84, "0-5% / 60-90%");
+// latex->SetTextSize(0.04);
+// latex->SetNDC();
+// latex->Draw();
+// }
+
+ latex = new TLatex(0.65+xC, 0.90, "ALICE");
+// latex = new TLatex(0.5+xC, 0.90, "-- work in progress --");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 1)
+ latex->Draw();
+
+ latex = new TLatex(0.35+xC, 0.84, "#font[12]{p}_{t,assoc} < #font[12]{p}_{t,trig}");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+
+ if (iaa == 1 || iaa == 0)
+ {
+ if (iaa == 0 && showSTAR)
+ latex = new TLatex(0.3+xC, 0.90, "|#font[12]{#eta}| < 1.0");
+ else
+ latex = new TLatex(0.82, 0.84, "|#font[12]{#eta}| < 1.0");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ if (i == 0)
+ latex->Draw();
+ }
+
+ if (iaa == 1 || (iaa == 0 && !showSTAR))
+ {
+ latex = new TLatex(0.5+xC, 0.72, "Pb-Pb 2.76 TeV");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+// latex->Draw();
+ }
+
+ if (iaa == 2)
+ {
+ if (i == 0)
+ latex = new TLatex(0.5, 0.24, "ALICE: Pb-Pb 2.76 TeV |#eta| < 1.0");
+ else
+ latex = new TLatex(xC, 0.6, "ALICE: Pb-Pb 2.76 TeV |#eta| < 1.0");
+ latex->SetTextSize(0.035);
+ latex->SetNDC();
+ latex->Draw();
+
+ if (i == 0)
+ latex = new TLatex(0.5, 0.18, "PHENIX: Au-Au 0.2 TeV |#eta| < 0.35");
+ else
+ latex = new TLatex(xC, 0.54, "PHENIX: Au-Au 0.2 TeV |#eta| < 0.35");
+ latex->SetTextSize(0.035);
+ latex->SetNDC();
+ latex->Draw();
+ }
+
+ if (i == 1)
+ {
+ legendClone = (TLegend*) legend->DrawClone();
+ if (showTheory && iaa == 0 && i == 0)
+ legendClone->GetListOfPrimitives()->RemoveLast();
+// else
+// legendClone->SetY1(legendClone->GetY1()-0.05);
+
+ legend->SetX1(legend->GetX1()-0.12);
+ legend->SetX2(legend->GetX2()-0.12);
+ }
+
+
+
+/* if (i == 0 && iaa != 2)
+ DrawALICELogo(0.83,0.15,0.98,0.30);
+ else
+ DrawALICELogo(0.62 + xC,0.48,0.77 + xC,0.63);*/
+ }
+
+ c->SaveAs(Form("%s.eps", c->GetTitle()));
+ c->SaveAs(Form("%s.png", c->GetTitle()));
+}
+
+
+void DrawALICELogo(Float_t x1, Float_t y1, Float_t x2, Float_t y2, Bool_t debug = kFALSE)
+{
+ DrawALICELogo(kTRUE, x1, y1, x2, y2, debug);
+}
+
+void DrawALICELogo(Bool_t prel, Float_t x1, Float_t y1, Float_t x2, Float_t y2, Bool_t debug = kFALSE)
+{
+ // correct for aspect ratio of figure plus aspect ratio of pad (coordinates are NDC!)
+// Printf("%d %f %d %f", gPad->GetCanvas()->GetWindowHeight(), gPad->GetHNDC(), gPad->GetCanvas()->GetWindowWidth(), gPad->GetWNDC());
+ //x2 = x1 + (y2 - y1) * 0.891 * gPad->GetCanvas()->GetWindowHeight() * gPad->GetHNDC() / (gPad->GetWNDC() * gPad->GetCanvas()->GetWindowWidth());
+ x2 = x1 + (y2 - y1) * (466. / 523) * gPad->GetWh() * gPad->GetHNDC() / (gPad->GetWNDC() * gPad->GetWw());
+// Printf("%f %f %f %f", x1, x2, y1, y2);
+
+ if (!prel)
+ DrawLatex((x1+x2)/2, y1, 1, "09.05.12", 0.03)->SetTextAlign(23);
+ TPad *myPadLogo = new TPad("myPadLogo", "Pad for ALICE Logo", x1, y1, x2, y2);
+ if (debug)
+ myPadLogo->SetFillColor(2); // color to first figure out where is the pad then comment !
+ myPadLogo->SetLeftMargin(0);
+ myPadLogo->SetTopMargin(0);
+ myPadLogo->SetRightMargin(0);
+ myPadLogo->SetBottomMargin(0);
+ myPadLogo->Draw();
+ myPadLogo->cd();
+// TASImage *myAliceLogo = new TASImage("~/alice_logo_transparent.png");
+ TASImage *myAliceLogo = new TASImage((prel) ? "~/alice_logo_preliminary.eps" : "~/alice_logo_performance.eps");
+ myAliceLogo->Draw();
+}
+
+void RemoveXErrors(TGraphErrors* graph)
+{
+ for (Int_t i=0; i<graph->GetN(); i++)
+ graph->GetEX()[i] = 0;
+}
+
+void RemovePointsBelowX(TGraphErrors* graph, Float_t minX)
+{
+ Int_t i=0;
+ while (i<graph->GetN())
+ {
+ if (graph->GetX()[i] < minX)
+ graph->RemovePoint(i);
+ else
+ i++;
+ }
+}
+
+void RemovePointsAboveX(TGraphErrors* graph, Float_t maxX)
+{
+ Int_t i=0;
+ while (i<graph->GetN())
+ {
+ if (graph->GetX()[i] > maxX)
+ graph->RemovePoint(i);
+ else
+ i++;
+ }
+}
+
+void ShiftPoints(TGraphErrors* graph, Float_t dx)
+{
+ Int_t i=0;
+ while (i<graph->GetN())
+ {
+ graph->GetX()[i] += dx;
+ i++;
+ }
+}
+
+void DivideGraphs(TGraphErrors* graph1, TGraphErrors* graph2)
+{
+ graph1->Print();
+ graph2->Print();
+
+ for (Int_t bin1 = 0; bin1 < graph1->GetN(); bin1++)
+ {
+ Float_t x = graph1->GetX()[bin1];
+
+ Int_t bin2 = 0;
+ for (bin2 = 0; bin2<graph2->GetN(); bin2++)
+ if (graph2->GetX()[bin2] >= x)
+ break;
+
+ if (bin2 == graph2->GetN())
+ bin2--;
+
+ if (bin2 > 0)
+ if (TMath::Abs(graph2->GetX()[bin2-1] - x) < TMath::Abs(graph2->GetX()[bin2] - x))
+ bin2--;
+
+ if (graph1->GetY()[bin1] == 0 || graph2->GetY()[bin2] == 0 || bin2 == graph2->GetN())
+ {
+ Printf("%d %d removed", bin1, bin2);
+ graph1->RemovePoint(bin1--);
+ continue;
+ }
+
+ Float_t graph2Extrapolated = graph2->GetY()[bin2];
+ if (TMath::Abs(x - graph2->GetX()[bin2]) > 0.0001)
+ {
+ Printf("%f %f %d %d not found", x, graph2->GetX()[bin2], bin1, bin2);
+ graph1->RemovePoint(bin1--);
+ continue;
+ }
+
+ Float_t value = graph1->GetY()[bin1] / graph2Extrapolated;
+ Float_t error = value * TMath::Sqrt(TMath::Power(graph1->GetEY()[bin1] / graph1->GetY()[bin1], 2) + TMath::Power(graph2->GetEY()[bin2] / graph2->GetY()[bin2], 2));
+
+ graph1->GetY()[bin1] = value;
+ graph1->GetEY()[bin1] = error;
+
+ Printf("%d %d %f %f %f %f", bin1, bin2, x, graph2Extrapolated, value, error);
+ }
+}
+
+Float_t ExtractYields(TH1* hist, Int_t trigId, Int_t centralityId, Float_t ptA, Float_t ptW, Int_t caseId, Double_t normUnc)
+{
+ CreateYieldStructure();
+
+ Float_t width = 0.69;
+// Float_t width = 0.5; Printf("WARNING. Using integration width 0.5");
+// Float_t width = 0.85; Printf("WARNING. Using integration width 0.85");
+
+ //new TCanvas; hist->DrawCopy();
+
+ Int_t binBegin = hist->FindBin(-width);
+ Int_t binEnd = hist->FindBin(width);
+ Double_t nearSideError = 0;
+ Float_t nearSideYield = hist->IntegralAndError(binBegin, binEnd, nearSideError);
+ nearSideYield *= hist->GetXaxis()->GetBinWidth(1);
+ nearSideError *= hist->GetXaxis()->GetBinWidth(1);
+
+ Int_t binBegin = hist->FindBin(TMath::Pi() - width);
+ Int_t binEnd = hist->FindBin(TMath::Pi() + width);
+ Double_t awaySideError = 0;
+ Float_t awaySideYield = hist->IntegralAndError(binBegin, binEnd, awaySideError);
+ awaySideYield *= hist->GetXaxis()->GetBinWidth(1);
+ awaySideError *= hist->GetXaxis()->GetBinWidth(1);
+
+ Printf("%d %d %f %d: %f+-%f %f+-%f (%f)", trigId, centralityId, ptA, caseId, nearSideYield, nearSideError, awaySideYield, awaySideError, normUnc);
+
+ FillYield(trigId, centralityId, ptA, ptW, caseId, nearSideYield, TMath::Sqrt(nearSideError * nearSideError + normUnc * normUnc), awaySideYield, TMath::Sqrt(awaySideError * awaySideError + normUnc * normUnc));
+
+ // store normUnc for error propagation later
+ TGraphErrors** tmp = yields[2][trigId][centralityId];
+ tmp[caseId]->SetPoint(tmp[caseId]->GetN(), ptA, normUnc);
+
+ return awaySideYield;
+}
+
+void FillYield(Int_t trigId, Int_t centralityId, Float_t ptA, Float_t ptW, Int_t caseId, Double_t nearSideYield, Double_t nearSideError, Double_t awaySideYield, Double_t awaySideError)
+{
+ // CINT limitation here
+ TGraphErrors** tmp = yields[0][trigId][centralityId];
+ tmp[caseId]->SetPoint(tmp[caseId]->GetN(), ptA, nearSideYield);
+ tmp[caseId]->SetPointError(tmp[caseId]->GetN()-1, ptW, nearSideError);
+ //tmp[caseId]->Print();
+
+ tmp = yields[1][trigId][centralityId];
+ tmp[caseId]->SetPoint(tmp[caseId]->GetN(), ptA, awaySideYield);
+ tmp[caseId]->SetPointError(tmp[caseId]->GetN()-1, ptW, awaySideError);
+}
+
+Double_t hypgeo(Double_t a, Double_t b, Double_t c, Double_t z)
+{
+ // ROOT::Math::hyperg is only defined for |z| < 1
+ if (z > -1)
+ return ROOT::Math::hyperg(a, b, c, z);
+
+ // for z < -1 we can use an identity from http://en.wikipedia.org/wiki/Hypergeometric_function
+ return TMath::Power(1-z, -b) * ROOT::Math::hyperg(c-a, b, c, z / (z-1));
+}
+
+Double_t hypgeoder2(Double_t a, Double_t b, Double_t c, Double_t z)
+{
+ // derivate of hypgeo with parameter b: d/db hypgeo
+
+ static TF1* func = 0;
+ if (!func)
+ func = new TF1("hypgeoder2_func", "hypgeo([0], x, [1], [2])");
+
+ func->SetParameters(a, c, z);
+ return func->Derivative(b);
+}
+
+void TsallisYieldUncertainty(Double_t n, Double_t q, Double_t beta, TMatrixDSym covMatrix, Int_t offset, Double_t& yield, Double_t& unc)
+{
+ gSystem->Load("libMathMore");
+
+ TF1 tsallis("tsallis", "[0] * (1-[2]*(1-[1])*x*x)**(1/(1-[1]))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+
+ // Integrate[N (1 - b (1 - q) x^2)^(1/(1 - q)), x] --> N x Hypergeometric2F1[1/2, 1/(-1 + q), 3/2, -b (-1 + q) x^2]
+ // [0] = n, [1] = q, [2] = beta
+ TF1 tsallisIntegral("tsallisIntegral", "[0]*x*hypgeo(0.5, 1/([1]-1), 1.5, -[2]*([1]-1)*x*x)");
+ TF1 tsallisIntegralDerN("tsallisIntegralDerN", "x*hypgeo(0.5, 1/([1]-1), 1.5, -[2]*([1]-1)*x*x)");
+
+ TF1 tsallisIntegralDerq("tsallisIntegralDerq", "[0]*x*(((1+[2]*([1]-1)*x*x)**(-1/([1]-1))-hypgeo(0.5, 1/([1]-1), 1.5, -[2]*([1]-1)*x*x))/2/([1]-1) - hypgeoder2(0.5, 1/([1]-1), 1.5, -[2]*([1]-1)*x*x)/([1]-1)**2)");
+
+ TF1 tsallisIntegralDerbeta("tsallisIntegralDerbeta", "[0]*x*((1+[2]*([1]-1)*x*x)**(-1/([1]-1))-hypgeo(0.5, 1/([1]-1), 1.5, -[2]*([1]-1)*x*x))/2/[2]");
+
+ const Float_t width = 0.7;
+
+ TF1* derivates[4];
+ derivates[0] = new TF1("const", "1");
+ derivates[1] = &tsallisIntegralDerN;
+ derivates[2] = &tsallisIntegralDerq;
+ derivates[3] = &tsallisIntegralDerbeta;
+
+ Printf("%f %f %f", n, q, beta);
+
+ tsallis.SetParameters(n, q, beta);
+ tsallisIntegral.SetParameters(n, q, beta);
+ for (Int_t i=1; i<4; i++)
+ derivates[i]->SetParameters(n, q, beta);
+
+ yield = tsallisIntegral.Eval(width) - tsallisIntegral.Eval(-width);
+ Double_t yield2 = tsallis.Integral(-width, width);
+
+ unc = 0;
+ for (Int_t i=0; i<4; i++)
+ for (Int_t j=0; j<4; j++)
+ {
+ Int_t covI = i;
+ Int_t covJ = j;
+ if (i > 0)
+ covI += offset;
+ if (j > 0)
+ covJ += offset;
+
+ Double_t der1 = (derivates[i]->Eval(width) - derivates[i]->Eval(-width));
+ Double_t der2 = (derivates[j]->Eval(width) - derivates[j]->Eval(-width));
+
+ unc += der1 * der2 * covMatrix(covI, covJ);
+
+ Printf("%d %d % .3e % .3e % .3e % .3e", i, j, der1, der2, covMatrix(covI, covJ), unc);
+ }
+
+ unc = TMath::Sqrt(unc);
+
+ yield /= width * 2;
+ yield2 /= width * 2;
+ unc /= width * 2;
+
+ Printf("%f (%f) +- %f", yield, yield2, unc);
+}
+
+double NLowestBinAverage(TH1 &h, int N)
+{
+ // Returns mean content of N lowest bins in h.
+
+ double avg = 0;
+ int counter = 0;
+ std::list<double> content;
+ std::list<double>::iterator i;
+
+ for (int jbin=1; jbin<=h.GetNbinsX(); jbin++) {
+ content.push_back(h.GetBinContent(jbin));
+ }
+ content.sort();
+
+ for (i = content.begin(); i != content.end(); ++i) {
+
+ if (counter == N)
+ break;
+
+ avg += *i/N;
+ counter++;
+ }
+
+ if (counter < N)
+ Warning("NLowestBinAverage()",
+ "Avg. of %d bins requested, %d used", N, counter);
+
+ return avg;
+}
+
+void DrawFlow(Float_t v2, TH1* hist, Float_t ptT, Float_t ptA, TH1* histMixed, Int_t trigId, Int_t centralityId, Int_t caseOffset, Float_t ptACenter, Float_t ptAWidth, Bool_t flatBaseLine = kFALSE, Int_t baseLineDetermination = 0, Float_t* vn = 0)
+{
+ // caseOffsets
+ // 0 same with v2 (14 tsallis for baseline [28/29 tsallis params]; 15 yield from tsallis function)
+ // [disabled] 1 same/mixed with v2 (15 tsallis for baseline)
+ // 2 same no v2 (16 tsallis for baseline; 17 yield from tsallis function)
+ // 4 same no v2 (18 flat fit 1)
+ // 5 same no v2 (19 flat fit 2)
+ // 6 same no v2 (20 flat avg over 4)
+ // 7 same no v2 (21 flat avg over 8)
+ // 8 same no v2 (22 flat avg over 16)
+ // 9 same with v2 (23 flat fit 1)
+ // 10 same with v2 (24 flat fit 2)
+ // 11 same with v2 (25 flat avg over 4)
+ // 12 same with v2 (26 flat avg over 8)
+ // 13 same with v2 (27 flat avg over 16)
+
+ // 30 gaussian fit width
+
+ // same stuff for same/mixed
+ if (0 && caseOffset == 0 && histMixed)
+ {
+ TH1* clone = (TH1*) hist->Clone();
+ clone->Divide(histMixed);
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 1, ptACenter, ptAWidth, kFALSE, 0, vn);
+ }
+
+ // same for other baseline subtractions
+ if (caseOffset == 0)
+ {
+ file = TFile::Open("dphi_corr.root", "UPDATE");
+ hist->Write();
+ file->Close();
+
+ TH1* clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 2, ptACenter, ptAWidth, kTRUE, 0, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 4, ptACenter, ptAWidth, kTRUE, 1, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 5, ptACenter, ptAWidth, kTRUE, 2, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 6, ptACenter, ptAWidth, kTRUE, 3, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 7, ptACenter, ptAWidth, kTRUE, 4, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 8, ptACenter, ptAWidth, kTRUE, 5, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 9, ptACenter, ptAWidth, kFALSE, 1, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 10, ptACenter, ptAWidth, kFALSE, 2, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 11, ptACenter, ptAWidth, kFALSE, 3, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 12, ptACenter, ptAWidth, kFALSE, 4, vn);
+
+ clone = (TH1*) hist->Clone();
+ DrawFlow(v2, clone, ptT, ptA, histMixed, trigId, centralityId, 13, ptACenter, ptAWidth, kFALSE, 5, vn);
+ }
+
+ Float_t awaySideYield = ExtractYields(hist, trigId, centralityId, ptACenter, ptAWidth, 0 + caseOffset, 0);
+
+ if (flatBaseLine)
+ {
+ v2 = 0;
+ vn = 0;
+ }
+
+/* Float_t v2Trig = flowGraph->Eval(ptT);
+ Float_t v2Assoc = flowGraph->Eval(ptA);
+ Float_t v2 = v2Trig * v2Assoc;
+ Printf("%f %f: %.2f %.2f --> %.4f", ptT, ptA, v2Trig, v2Assoc, v2);*/
+
+ TF1* flowFunc = new TF1("flowFunc", "[0] * (1+2*[1]*cos(2*x)+2*[2]*cos(3*x)+2*[3]*cos(4*x)+2*[4]*cos(5*x))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+
+ // find minimum
+ if (0)
+ {
+ Float_t minBin = hist->FindBin(0.6);
+ for (Int_t bin=hist->FindBin(0.6); bin<=hist->FindBin(1.8); bin++)
+ if (hist->GetBinContent(bin) < hist->GetBinContent(minBin))
+ minBin = bin;
+
+ Float_t norm = hist->GetBinContent(minBin) / (1 + 2 * v2 * cos(2 * hist->GetBinCenter(minBin)));
+ Double_t normUnc = 0;
+ }
+ else
+ {
+ if (baseLineDetermination == 0)
+ {
+ return;
+ /*
+ if (centralityId == 0)
+ hist->Fit("pol0", "0", "", 0.8., 1.2);
+ else
+ hist->Fit("pol0", "0", "", 1.2, 1.6);
+ */
+ //tsallis = new TF1("tsallis", "(1-[1]*(1-[0])*x*x)**(1/(1-[0]))", 0, 10)
+ // (1-b(1-q)x*x)**(1/(1-q))
+
+ // combination of two tsallis functions
+ total = new TF1("total", "[0] + [1] * (1-[3]*(1-[2])*x*x)**(1/(1-[2])) + [4] * (1-[6]*(1-[5])*(x-TMath::Pi())*(x-TMath::Pi()))**(1/(1-[5]))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ //total = new TF1("total", "[0] + [1] * (1-[3]*(1-[2])*x*x)**(1/(1-[2])) + [4] * (1-[6]*(1-[5])*(x-TMath::Pi())*(x-TMath::Pi()))**(1/(1-[5])) + [1] * (1-[3]*(1-[2])*(x-TMath::TwoPi())*(x-TMath::TwoPi()))**(1/(1-[2])) + [4] * (1-[6]*(1-[5])*(x+TMath::Pi())*(x+TMath::Pi()))**(1/(1-[5]))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ // the latter is the correct function, but a very wide tsallis on the away side can fake a baseline, and then the baseline is significantly off
+ total->SetParLimits(0, 0, 10000);
+ total->SetParLimits(1, 0, 10000);
+ total->SetParLimits(4, 0, 10000);
+
+ total->SetParLimits(2, 1.0000001, 5);
+ total->SetParLimits(5, 1.0000001, 5);
+
+ total->SetParLimits(3, 0.1, 1000);
+ total->SetParLimits(6, 0.1, 1000);
+
+ total->SetParameters(1, 1, 1.5, 3, 1, 1.5, 1.1);
+
+ // limit q>1
+ hist->Fit(total, "0RI");
+ fitResult = hist->Fit(total, "0RSI");
+
+ if (0 && fitResult->CovMatrixStatus() > 0)
+ {
+ TMatrixDSym cov(fitResult->GetCovarianceMatrix());
+ cov.Print();
+
+ Double_t nearSideYield, nearSideError;
+ TsallisYieldUncertainty(total->GetParameter(1), total->GetParameter(2), total->GetParameter(3), cov, 0, nearSideYield, nearSideError);
+
+ Double_t awaySideYield2, awaySideError;
+ TsallisYieldUncertainty(total->GetParameter(4), total->GetParameter(5), total->GetParameter(6), cov, 3, awaySideYield2, awaySideError);
+
+ FillYield(trigId, centralityId, ptACenter, ptAWidth, 14 + caseOffset + 1, nearSideYield, nearSideError, awaySideYield2, awaySideError);
+
+ Printf("Chi2 %f / ndf %d = %f", total->GetChisquare(), total->GetNDF(), (total->GetNDF() > 0) ? total->GetChisquare() / total->GetNDF() : -1);
+
+ total->SetLineColor(hist->GetLineColor());
+ total->SetLineWidth(1);
+ if (caseOffset == 2)
+ {
+ if (0)
+ total->DrawCopy("SAME");
+ //total->SetParameter(5, total->GetParameter(5) - TMath::Sqrt(cov[5][5]));
+ //total->DrawCopy("SAME");
+ //total->SetParameter(5, total->GetParameter(5) + 2 * TMath::Sqrt(cov[5][5]));
+ //Printf("%f", total->Integral(-0.7,0.7));
+ //total->DrawCopy("SAME");
+ }
+
+ if (caseOffset == 0)
+ {
+ // store fit parameters
+
+ // q
+ FillYield(trigId, centralityId, ptACenter, ptAWidth, 28, total->GetParameter(2), total->GetParError(2), total->GetParameter(5), total->GetParError(5));
+ // beta
+ FillYield(trigId, centralityId, ptACenter, ptAWidth, 29, total->GetParameter(3), total->GetParError(3), total->GetParameter(6), total->GetParError(6));
+
+ if (0)
+ {
+ // two Gauss fits
+ gausFit = new TF1("gausFit", "[0] + gaus(1) + gaus(4)", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ gausFit->SetParameters(1, 1, 0, 1, 1, TMath::Pi(), 0);
+ gausFit->SetParLimits(0, 0, 10000);
+ gausFit->SetParLimits(1, 0, 10000);
+ gausFit->FixParameter(2, 0);
+ gausFit->SetParLimits(3, 0.01, 10);
+ gausFit->SetParLimits(4, 0, 10000);
+ gausFit->FixParameter(5, TMath::Pi());
+ gausFit->SetParLimits(6, 0.01, 10);
+
+ hist->Fit(gausFit, "0RI");
+ gausFit->SetLineWidth(1);
+ gausFit->DrawCopy("SAME");
+
+ FillYield(trigId, centralityId, ptACenter, ptAWidth, 30, gausFit->GetParameter(3), total->GetParError(3), total->GetParameter(6), total->GetParError(6));
+ }
+ }
+
+ if (0 && cov[0][0] > 0)
+ {
+ for (Int_t i=0; i<cov.GetNcols(); i++)
+ for (Int_t j=0; j<cov.GetNrows(); j++)
+ cov[j][i] /= TMath::Sqrt(cov[i][i]) * TMath::Sqrt(cov[j][j]);
+ cov.Print();
+ }
+ }
+
+ func = total;
+ Float_t norm = func->GetParameter(0) / (1 - 2 * v2);
+ Double_t normUnc = func->GetParError(0) / (1 - 2 * v2);
+ //return;
+ }
+ else if (baseLineDetermination <= 2)
+ {
+ Float_t values[3];
+ Float_t errors[3];
+
+ if (baseLineDetermination == 1)
+ {
+ Float_t regionBegin[3] = { -TMath::Pi() / 2, TMath::Pi() / 2 - 0.4, 1.5 * TMath::Pi() - 0.4 };
+ Float_t regionEnd[3] = { -TMath::Pi() / 2 + 0.4, TMath::Pi() / 2 + 0.4, 1.5 * TMath::Pi() };
+ }
+ else if (baseLineDetermination == 2)
+ {
+ Float_t regionBegin[3] = { -TMath::Pi() / 2, TMath::Pi() / 2 - 0.4 - 0.2, 1.5 * TMath::Pi() - 0.4 - 0.2};
+ Float_t regionEnd[3] = { -TMath::Pi() / 2 + 0.4 - 0.2, TMath::Pi() / 2 + 0.4 - 0.2, 1.5 * TMath::Pi() };
+ }
+
+ // weighted mean
+ Float_t sum = 0;
+ Float_t weight = 0;
+ for (Int_t i=0; i<3; i++)
+ {
+ hist->Fit("pol0", "0Q", "", regionBegin[i], regionEnd[i]);
+ func = hist->GetFunction("pol0");
+ if (!func)
+ continue;
+ sum += func->GetParameter(0) / func->GetParError(0) / func->GetParError(0);
+ weight += 1. / func->GetParError(0) / func->GetParError(0);
+ }
+
+ if (weight == 0)
+ return;
+
+ sum /= weight;
+ weight = TMath::Sqrt(1. / weight);
+
+ Float_t norm = sum / (1 - 2 * v2);
+ Double_t normUnc = weight / (1 - 2 * v2);
+ }
+ else
+ {
+ Int_t bins = 2;
+ if (baseLineDetermination == 4)
+ bins = 4;
+ if (baseLineDetermination == 5)
+ bins = 8;
+ Float_t norm = NLowestBinAverage(*hist, bins);
+ Double_t normUnc = 0;
+
+ Printf("NLowestBinAverage %d --> %f", bins, norm);
+
+ norm /= (1 - 2 * v2);
+ }
+
+ Printf("Baseline: %f +- %f", norm, normUnc);
+ }
+
+ if (caseOffset == 0)
+ {
+ Float_t awaySideYieldNoBaseline = awaySideYield - norm * (1 - 2 * v2);
+ Float_t v2YieldNoBaseline = norm * 2 * v2 * (1 + 1.4) / 1.4;
+ Printf("Relative v2 contribution at centrality = %d, pT,t = %.1f, pT,a = %.1f: %.1f%% (%f %f)", centralityId, ptT, ptA, 100.0 * v2YieldNoBaseline / awaySideYieldNoBaseline, awaySideYieldNoBaseline, v2YieldNoBaseline);
+ }
+
+ //flowFunc->SetParameters(hist->GetBinContent(hist->FindBin(1.4)) / (1.0 - 2.0 * v2), v2);
+ flowFunc->SetParameters(norm, v2, 0, 0, 0);
+ if (vn)
+ flowFunc->SetParameters(norm, vn[1], vn[2], vn[3], vn[4]);
+ flowFunc->SetLineWidth(2);
+ if (caseOffset >= 4 && caseOffset <= 9 && caseOffset != 6 && caseOffset != 7)
+ {
+ if (caseOffset != 4 && caseOffset != 9)
+ flowFunc->SetLineStyle(2);
+ flowFunc->DrawCopy("SAME"); //->SetLineColor(caseOffset - 3);
+ if (vn)
+ {
+ flowFuncTmp = (TF1*) flowFunc->Clone("flowFuncTmp");
+ for (Int_t i=1; i<=4; i++)
+ {
+ flowFuncTmp->SetParameters(flowFuncTmp->GetParameter(0), 0, 0, 0, 0);
+ flowFuncTmp->SetParameter(i, vn[i]);
+ flowFuncTmp->SetLineStyle(2);
+ flowFuncTmp->Print();
+ flowFuncTmp->DrawCopy("SAME");
+ }
+ }
+ }
+
+ hist->Add(flowFunc, -1);
+ if (caseOffset == 0)
+ {
+ file = TFile::Open("dphi_corr.root", "UPDATE");
+ hist->SetName(TString(hist->GetName()) + "_tsallis_v2");
+ hist->Write();
+ file->Close();
+ // hist->DrawCopy("SAME");
+ }
+ if (caseOffset == 2 && flatBaseLine)
+ {
+ file = TFile::Open("dphi_corr.root", "UPDATE");
+ hist->SetName(TString(hist->GetName()) + "_tsallis_flat");
+ hist->Write();
+ file->Close();
+ // hist->DrawCopy("SAME");
+ }
+ if (caseOffset == 4 && flatBaseLine)
+ {
+ file = TFile::Open("dphi_corr.root", "UPDATE");
+ hist->SetName(TString(hist->GetName()) + "_fit_flat");
+ hist->Write();
+ file->Close();
+ // hist->DrawCopy("SAME");
+ }
+ if (caseOffset == 9)
+ {
+ file = TFile::Open("dphi_corr.root", "UPDATE");
+ hist->SetName(TString(hist->GetName()) + "_fit_v2");
+ hist->Write();
+ file->Close();
+ // hist->DrawCopy("SAME");
+ }
+
+ ExtractYields(hist, trigId, centralityId, ptACenter, ptAWidth, 14 + caseOffset, normUnc);
+
+ if (0 && histMixed)
+ {
+ Printf("%f", histMixed->Integral() / histMixed->GetNbinsX());
+ flowFunc->SetParameters(histMixed->Integral() / histMixed->GetNbinsX(), v2);
+ flowFunc->SetLineColor(2);
+ //if (caseOffset == 0)
+ // flowFunc->DrawCopy("SAME");
+ }
+}
+
+void RemoveBaseLine(TH1* hist)
+{
+ if (!hist)
+ return;
+
+ //hist->Rebin(2);
+ //hist->Scale(0.5);
+
+ hist->Fit("pol0", "0", "", 1.07, 2.07);
+
+ if (!hist->GetFunction("pol0"))
+ return;
+
+ Float_t zyam = hist->GetFunction("pol0")->GetParameter(0);
+
+ if (zyam <= 0)
+ return;
+
+ return;
+
+ for (Int_t i=1; i<=hist->GetNbinsX(); i++)
+ hist->SetBinContent(i, hist->GetBinContent(i) - zyam);
+}
+
+void* cacheIds[10];
+TH2* cacheMixed[10];
+
+Int_t gHistCount = 0;
+void GetDistAndFlow(void* hVoid, void* hMixedVoid, TH1** hist, Float_t* v2, Int_t step, Int_t centralityBegin, Int_t centralityEnd, Float_t ptBegin, Float_t ptEnd, Int_t twoD = 0, Bool_t equivMixedBin = kFALSE, Float_t* vn = 0, Bool_t scaleToPairs = kTRUE, Int_t stepMixed = -1)
+{
+ h = (AliUEHistograms*) hVoid;
+ hMixed = (AliUEHistograms*) hMixedVoid;
+
+ if (stepMixed < 0)
+ stepMixed = step;
+
+ Int_t centralityBeginBin = 0;
+ Int_t centralityEndBin = -1;
+
+ if (centralityEnd >= centralityBegin)
+ {
+ centralityBeginBin = h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(0.01 + centralityBegin);
+ centralityEndBin = h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(-0.01 + centralityEnd);
+ }
+
+ // 2d same and mixed event
+ TH2* sameTwoD = h->GetUEHist(2)->GetUEHist(step, 0, ptBegin, ptEnd, centralityBeginBin, centralityEndBin, 1, kFALSE);
+
+ if (hMixed)
+ {
+ if (!equivMixedBin)
+ {
+ // No centrality, nor pT associated dep of the mixed event observed. Use a larger range to get more statistics
+
+ Int_t cacheId = -1;
+
+ for (Int_t i=0; i<10; i++)
+ if (cacheIds[i] == hMixed)
+ {
+ cacheId = i;
+ break;
+ }
+
+ // not found
+ if (cacheId == -1)
+ for (Int_t i=0; i<10; i++)
+ if (cacheIds[i] == 0)
+ {
+ cacheId = i;
+ break;
+ }
+
+ if (!cacheIds[cacheId])
+ {
+ hMixed->SetPtRange(3.0, 10);
+ cacheMixed[cacheId] = (TH2*) hMixed->GetUEHist(2)->GetUEHist(stepMixed, 0, 3.0, 10.0, centralityBeginBin, centralityEndBin, 1, kFALSE);
+ cacheIds[cacheId] = hMixed;
+ Printf("GetDistAndFlow: Cached for %p on slot %d", hMixed, cacheId);
+ }
+
+ TH2* mixedTwoD = cacheMixed[cacheId];
+ }
+ else
+ {
+ // use same bin for mixing
+
+ TH2* mixedTwoD = (TH2*) hMixed->GetUEHist(2)->GetUEHist(stepMixed, 0, ptBegin, ptEnd, centralityBeginBin, centralityEndBin, 1, kFALSE);
+ }
+
+ if (0)
+ {
+ // asssume flat in dphi, gain in statistics
+ Printf("NOTE: Assuming flat acceptance in phi!");
+
+ TH1* histMixedproj = mixedTwoD->ProjectionY();
+ histMixedproj->Scale(1.0 / mixedTwoD->GetNbinsX());
+
+ for (Int_t x=1; x<=mixedTwoD->GetNbinsX(); x++)
+ for (Int_t y=1; y<=mixedTwoD->GetNbinsY(); y++)
+ mixedTwoD->SetBinContent(x, y, histMixedproj->GetBinContent(y));
+ }
+
+ // get mixed event normalization by assuming full acceptance at deta of 0 (only works for flat dphi)
+ if (scaleToPairs)
+ {
+ Double_t mixedNorm = mixedTwoD->Integral(1, mixedTwoD->GetNbinsX(), mixedTwoD->GetYaxis()->FindBin(-0.01), mixedTwoD->GetYaxis()->FindBin(0.01));
+ mixedNorm /= mixedTwoD->GetNbinsX() * (mixedTwoD->GetYaxis()->FindBin(0.01) - mixedTwoD->GetYaxis()->FindBin(-0.01) + 1);
+ }
+ else
+ Double_t mixedNorm = mixedTwoD->Integral() / sameTwoD->Integral();
+
+ // divide and scale
+ sameTwoD->Divide(mixedTwoD);
+ sameTwoD->Scale(mixedNorm);
+
+/* new TCanvas;
+ sameTwoD->Draw("SURF1");
+ dfdsafd;*/
+ }
+
+ TString histName;
+ histName.Form("GetDistAndFlow%d", gHistCount++);
+
+ // extract dphi distribution if requested
+ if (twoD == 1)
+ {
+ *hist = sameTwoD;
+ }
+
+ // Float_t etaLimit = 0.8;
+ Float_t etaLimit = 1.0;
+
+ // 20: return corr in |delta eta| < 1 from which 1 < |delta eta| < 2 is subtracted
+ if (twoD == 0 || twoD == 10 || twoD == 20)
+ {
+ Int_t etaBegin = 1;
+ Int_t etaEnd = sameTwoD->GetNbinsY();
+
+ if (twoD == 10 || twoD == 20)
+ {
+ etaBegin = sameTwoD->GetYaxis()->FindBin(-etaLimit + 0.01);
+ etaEnd = sameTwoD->GetYaxis()->FindBin(etaLimit - 0.01);
+ }
+
+ *hist = sameTwoD->ProjectionX(histName, etaBegin, etaEnd);
+
+ if (!scaleToPairs)
+ (*hist)->Scale(1.0 / (etaEnd - etaBegin + 1));
+ }
+
+ if (twoD == 11 || twoD == 20)
+ {
+ // errors --> are ok
+
+// Float_t outerLimit = 2.0;
+ Float_t outerLimit = 1.8;
+ Printf("Phi dist: Using outer limit %.2f", outerLimit);
+// Float_t outerLimit = etaLimit * 2;
+
+ histTmp = sameTwoD->ProjectionX(histName + "1", TMath::Max(1, sameTwoD->GetYaxis()->FindBin(-outerLimit + 0.01)), sameTwoD->GetYaxis()->FindBin(-etaLimit - 0.01));
+ Int_t etaBins = sameTwoD->GetYaxis()->FindBin(-etaLimit - 0.01) - TMath::Max(1, sameTwoD->GetYaxis()->FindBin(-outerLimit + 0.01)) + 1;
+
+ TH1D* tracksTmp = sameTwoD->ProjectionX(histName + "2", sameTwoD->GetYaxis()->FindBin(etaLimit + 0.01), TMath::Min(sameTwoD->GetYaxis()->GetNbins(), sameTwoD->GetYaxis()->FindBin(outerLimit - 0.01)));
+ etaBins += TMath::Min(sameTwoD->GetYaxis()->GetNbins(), sameTwoD->GetYaxis()->FindBin(outerLimit - 0.01)) - sameTwoD->GetYaxis()->FindBin(etaLimit + 0.01) + 1;
+
+// printf("%f +- %f %f +- %f ", (*hist)->GetBinContent(1), (*hist)->GetBinError(1), tracksTmp->GetBinContent(1), tracksTmp->GetBinError(1));
+ histTmp->Add(tracksTmp);
+// Printf(" --> %f +- %f", (*hist)->GetBinContent(1), (*hist)->GetBinError(1));
+
+ if (!scaleToPairs)
+ histTmp->Scale(1.0 / etaBins);
+
+ if (twoD == 11)
+ *hist = histTmp;
+ else if (twoD == 20)
+ {
+ // calculate acc with 2 * (deta - 0.5 * deta*deta / 1.6)
+ if (!hMixedVoid)
+ histTmp->Scale(0.75 / 0.25);
+
+ histTmp->Scale(1.0 / 0.8);
+
+ (*hist)->Add(histTmp, -1);
+ }
+ }
+
+// (*hist)->Rebin(2); (*hist)->Scale(0.5);
+
+ //*hist = h->GetUEHist(2)->GetUEHist(step, 0, ptBegin, ptEnd, h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(0.01 + centralityBegin), h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(-0.01 + centralityEnd), twoD);
+
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", ptBegin - 0.01, ptEnd + 0.01);
+
+ TString str2;
+ str2.Form("%.2f < p_{T,assoc} < %.2f", gpTMin - 0.01, gpTMax + 0.01);
+
+ TString newTitle;
+ newTitle.Form("%s - %s - %d-%d%%", str.Data(), str2.Data(), centralityBegin, centralityEnd);
+ (*hist)->SetTitle(newTitle);
+
+ if (0 && hMixed)
+ {
+ histMixed = hMixed->GetUEHist(2)->GetUEHist(step, 0, ptBegin, ptEnd, hMixed->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(0.01 + centralityBegin), hMixed->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(-0.01 + centralityEnd));
+
+ //new TCanvas; (*hist)->DrawCopy(); histMixed->DrawCopy("SAME")->SetLineColor(2);
+
+ Float_t totalPairs = (*hist)->Integral();
+
+ (*hist)->Divide(histMixed);
+ (*hist)->Scale(totalPairs / (*hist)->Integral());
+
+ //(*hist)->DrawCopy("SAME")->SetLineColor(4);
+ }
+
+ if (v2 || vn)
+ {
+ // calculate v2trigger
+ h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + centralityBegin, -0.01 + centralityEnd);
+ ptDist = h->GetUEHist(2)->GetEventHist()->Project(step, 0);
+ Float_t vTrig[5];
+ for (Int_t i=2; i<=((vn) ? 5 : 2); i++)
+ vTrig[i-1] = CalculateFlow(ptDist, ptBegin, ptEnd, i, centralityBegin, centralityEnd);
+ delete ptDist;
+
+ // calculate v2 assoc
+ cont = h->GetUEHist(2)->GetTrackHist(0);
+ h->GetUEHist(2)->GetTrackHist(0)->GetGrid(step)->GetGrid()->GetAxis(3)->SetRangeUser(0.01 + centralityBegin, -0.01 + centralityEnd);
+ h->GetUEHist(2)->GetTrackHist(0)->GetGrid(step)->GetGrid()->GetAxis(2)->SetRangeUser(ptBegin, ptEnd);
+ ptDist = h->GetUEHist(2)->GetTrackHist(0)->Project(step, 1);
+ Float_t vAssoc[5];
+ for (Int_t i=2; i<=((vn) ? 5 : 2); i++)
+ vAssoc[i-1] = CalculateFlow(ptDist, gpTMin, gpTMax, i, centralityBegin, centralityEnd);
+ delete ptDist;
+
+ if (v2)
+ *v2 = vTrig[2-1] * vAssoc[2-1];
+ if (vn)
+ for (Int_t i=2; i<=5; i++)
+ vn[i-1] = vTrig[i-1] * vAssoc[i-1];
+ }
+}
+
+void CompareNtrDist(const char* fileName1, const char* fileNameCentrality1)
+{
+ loadlibs();
+ Int_t step = 8;
+
+ TCanvas *c1 = new TCanvas("c1", "", 1400, 1100);
+ TCanvas *c2 = new TCanvas("c2", "", 1400, 1100);
+
+ dndpt_central = ReadHepdata("/home/mkofarag/work/Project/2010/raa_dndpt_central.txt", kFALSE, 3);
+ AliUEHistograms* h1 = (AliUEHistograms*) GetUEHistogram(fileName1);
+ AliUEHistograms* hc1 = (AliUEHistograms*) GetUEHistogram(fileNameCentrality1);
+
+ h1->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + 0, -0.01 + 5);
+ ptDist1 = h1->GetUEHist(2)->GetEventHist()->Project(step, 0);
+ ptDist1->Scale(1.0/1.8/TMath::TwoPi()/hc1->GetCentralityDistribution()->Integral(hc1->GetCentralityDistribution()->FindBin(0.01), hc1->GetCentralityDistribution()->FindBin(4.99)));
+ for (Int_t i=1; i<=ptDist1->GetNbinsX(); i++)
+ {
+ ptDist1->SetBinContent(i, ptDist1->GetBinContent(i)/ptDist1->GetBinWidth(i));
+ }
+ for (Int_t i=0; i<dndpt_central->GetN();i++)
+ {
+ Double_t x = dndpt_central->GetX()[i];
+ Double_t y = dndpt_central->GetY()[i]*x;
+ dndpt_central->SetPoint(i,x,y);
+ }
+ ptDist2 = (TH1*) ptDist1->Clone("ptDist2");
+ ptDist2->Reset();
+ for (Int_t i=0; i<dndpt_central->GetN(); i++)
+ {
+ Float_t width = 0;
+ if (i > 0)
+ width += (dndpt_central->GetX()[i] - dndpt_central->GetX()[i-1]) / 2;
+ if (i < dndpt_central->GetN()-1)
+ width += (dndpt_central->GetX()[i+1] - dndpt_central->GetX()[i]) / 2;
+ if (i == 0 || i == dndpt_central->GetN() - 1)
+ width *= 2;
+ ptDist2->Fill(dndpt_central->GetX()[i],dndpt_central->GetY()[i]*width);
+ }
+ for (Int_t i=1; i<=ptDist2->GetNbinsX(); i++)
+ {
+ ptDist2->SetBinContent(i, ptDist2->GetBinContent(i)/ptDist2->GetBinWidth(i));
+ ptDist2->SetBinError(i,0);
+ }
+/* for (Int_t i=1; i<=ptDist1->GetNbinsX(); i++)
+ {
+ ptDist1->SetBinError(i,0);
+ }
+*/
+ c1->cd();
+ c1->SetLogy();
+ ptDist1->SetMarkerStyle(3);
+ ptDist2->SetMarkerStyle(2);
+ ptDist1->SetMarkerColor(2);
+ ptDist2->SetMarkerColor(3);
+ ptDist1->SetLineColor(2);
+ ptDist2->SetLineColor(3);
+ ptDist1->DrawCopy("EP");
+ ptDist2->Draw("EPSAME");
+ ptDist1->Divide(ptDist1,ptDist2);
+ c2->cd();
+ ptDist1->Draw("EP");
+
+}
+
+void FitNtrDist(const char* fileName1, const char* fileNameCentrality1)
+{
+ loadlibs();
+ Int_t step = 8;
+
+ TCanvas *c1 = new TCanvas("c1", "", 1400, 1100);
+ TCanvas *c2 = new TCanvas("c2", "", 1400, 1100);
+ TCanvas *c3 = new TCanvas("c3", "", 1400, 1100);
+
+ dndpt_central = ReadHepdata("/home/mkofarag/work/Project/2010/raa_dndpt_central.txt", kFALSE, 3);
+ TF1* func1 = new TF1("func1", "[0]*x/TMath::Sqrt(0.1396*0.1396+x*x)*TMath::Power(1+x/[1],-1*[2])",0.5,5);
+ TF1* func2 = new TF1("func2", "[0]*TMath::Power(x,-1*[1])",5,20);
+
+ func1->SetParLimits(0, 2000, 5000);
+ func1->SetParLimits(1, 1, 6);
+ func1->SetParLimits(2, 7, 20);
+ dndpt_central->Fit(func1,"RB","",0.5,5);
+
+ func2->SetParLimits(0, 0, 1000);
+ func2->SetParLimits(1, 4, 8);
+ dndpt_central->Fit(func2,"RB","",5,20);
+
+ c1->cd();
+ c1->SetLogy();
+ c1->SetLogx();
+ dndpt_central->Draw("AP");
+ func1->Draw("SAME");
+ func2->Draw("SAME");
+
+ TF1* func3 = new TF1("func3", "[0]*x*x/TMath::Sqrt(0.1396*0.1396+x*x)*TMath::Power(1+x/[1],-1*[2])",0.5,5);
+ TF1* func4 = new TF1("func4", "[0]*x*TMath::Power(x,-1*[1])",5,20);
+
+ func3->FixParameter(0,func1->GetParameter(0));
+ func3->FixParameter(1,func1->GetParameter(1));
+ func3->FixParameter(2,func1->GetParameter(2));
+ func4->FixParameter(0,func2->GetParameter(0));
+ func4->FixParameter(1,func2->GetParameter(1));
+
+ AliUEHistograms* h1 = (AliUEHistograms*) GetUEHistogram(fileName1);
+ AliUEHistograms* hc1 = (AliUEHistograms*) GetUEHistogram(fileNameCentrality1);
+
+ h1->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + 0, -0.01 + 5);
+ ptDist1 = h1->GetUEHist(2)->GetEventHist()->Project(step, 0);
+ ptDist1->Scale(1.0/1.8/TMath::TwoPi()/hc1->GetCentralityDistribution()->Integral(hc1->GetCentralityDistribution()->FindBin(0.01), hc1->GetCentralityDistribution()->FindBin(4.99)));
+ ptDist2 = (TH1*) ptDist1->Clone("ptDist2");
+ ptDist2->Reset();
+ for (Int_t i=1; i<=ptDist1->GetNbinsX(); i++)
+ {
+ ptDist1->SetBinContent(i, ptDist1->GetBinContent(i)/ptDist1->GetBinWidth(i));
+ if (ptDist1->GetBinLowEdge(i)<5) ptDist2->SetBinContent(i, func3->Integral(ptDist1->GetBinLowEdge(i),ptDist1->GetBinLowEdge(i+1)));
+ else ptDist2->SetBinContent(i, func4->Integral(ptDist1->GetBinLowEdge(i),ptDist1->GetBinLowEdge(i+1)));
+ }
+
+ for (Int_t i=1; i<=ptDist2->GetNbinsX(); i++)
+ {
+ ptDist2->SetBinContent(i, ptDist2->GetBinContent(i)/ptDist2->GetBinWidth(i));
+ }
+ c2->cd();
+ c2->SetLogy();
+ ptDist1->SetMarkerStyle(3);
+ ptDist2->SetMarkerStyle(2);
+ ptDist1->SetMarkerColor(2);
+ ptDist2->SetMarkerColor(3);
+ ptDist1->SetLineColor(2);
+ ptDist2->SetLineColor(3);
+ ptDist1->DrawCopy("EP");
+ ptDist2->Draw("EPSAME");
+
+ ptDist1->Divide(ptDist1,ptDist2);
+ c3->cd();
+ ptDist1->Draw("EP");
+}
+
+void DrawNtrDist(const char* fileName1, const char* fileName2, const char* fileNameCentrality1, const char* fileNameCentrality2)
+{
+ loadlibs();
+
+ Int_t step = 8;
+
+ new TCanvas("c", "", 1400, 1100);
+ AliUEHistograms* h1 = (AliUEHistograms*) GetUEHistogram(fileName1);
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+ AliUEHistograms* hc1 = (AliUEHistograms*) GetUEHistogram(fileNameCentrality1);
+ AliUEHistograms* hc2 = (AliUEHistograms*) GetUEHistogram(fileNameCentrality2);
+ h1->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + 0, -0.01 + 10);
+ h2->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + 0, -0.01 + 10);
+ ptDist1 = h1->GetUEHist(2)->GetEventHist()->Project(step, 0);
+ ptDist2 = h2->GetUEHist(2)->GetEventHist()->Project(step, 0);
+ ptDist1->Scale(1/hc1->GetCentralityDistribution()->Integral(hc1->GetCentralityDistribution()->FindBin(0.01), hc1->GetCentralityDistribution()->FindBin(9.99)));
+ ptDist2->Scale(1/hc2->GetCentralityDistribution()->Integral(hc2->GetCentralityDistribution()->FindBin(0.01), hc2->GetCentralityDistribution()->FindBin(9.99)));
+ ptDist1->Divide(ptDist1,ptDist2);
+ ptDist1->SetMarkerStyle(3);
+ ptDist1->Draw();
+}
+
+void GetSumOfRatios(void* hVoid, void* hMixedVoid, TH1** hist, Int_t step, Int_t centralityBegin, Int_t centralityEnd, Float_t ptBegin, Float_t ptEnd, Bool_t normalizePerTrigger = kTRUE, Bool_t useCentralityBinsDirectly = kFALSE)
+{
+ Printf("GetSumOfRatios | step %d | %d-%d%% | %.1f - %.1f GeV/c | %.1f - %.1f GeV/c", step, centralityBegin, centralityEnd, gpTMin, gpTMax, ptBegin, ptEnd);
+
+ h = (AliUEHistograms*) hVoid;
+ hMixed = (AliUEHistograms*) hMixedVoid;
+
+ Int_t centralityBeginBin = 0;
+ Int_t centralityEndBin = -1;
+
+ if (!useCentralityBinsDirectly && centralityEnd >= centralityBegin)
+ {
+ centralityBeginBin = h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(0.01 + centralityBegin);
+ centralityEndBin = h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(-0.01 + centralityEnd);
+ }
+ else if (useCentralityBinsDirectly)
+ {
+ centralityBeginBin = centralityBegin;
+ centralityEndBin = centralityEnd;
+ }
+
+ *hist = h->GetUEHist(2)->GetSumOfRatios2(hMixed->GetUEHist(2), step, 0, ptBegin, ptEnd, centralityBeginBin, centralityEndBin, normalizePerTrigger);
+
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", ptBegin - 0.01, ptEnd + 0.01);
+
+ TString str2;
+ str2.Form("%.2f < p_{T,assoc} < %.2f", gpTMin - 0.01, gpTMax + 0.01);
+
+ TString newTitle;
+ newTitle.Form("%s - %s - %d-%d", str.Data(), str2.Data(), centralityBegin, centralityEnd);
+ if (!useCentralityBinsDirectly)
+ newTitle += "%";
+ if ((*hist))
+ (*hist)->SetTitle(newTitle);
+}
+
+void PlotDeltaPhiDistributions(const char* fileName1, const char* fileName2, Float_t yMax = 0.1, Int_t twoD = 0, Int_t centrBegin = 1, Int_t centrEnd = 1)
+{
+ loadlibs();
+
+ Bool_t veryCentral = 0;
+ Bool_t flowComparison = 0;
+ Bool_t rhicOverlay = 0;
+ Bool_t highStatBinning = 0;
+
+ file = TFile::Open("dphi_corr.root", "RECREATE");
+ file->Close();
+
+ Int_t leadingPtOffset = 1;
+
+ if (veryCentral || flowComparison)
+ {
+ Int_t maxLeadingPt = 2;
+ Int_t maxAssocPt = 2;
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 10.0, 20.0, 40.0 };
+ //Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 4.0, 6.0, 10.0, 20.0, 40.0 };
+ Float_t assocPtArr[] = { 1.0, 2.0, 3.0, 6.0, 10.0, 20.0, 40.0 };
+ }
+ else if (rhicOverlay) // RHIC binning
+ {
+ Int_t maxLeadingPt = 4;
+ Int_t maxAssocPt = 5;
+ Float_t leadingPtArr[] = { 4.0, 5.0, 7.0, 9.0, 12.0 };
+ Float_t assocPtArr[] = { 0.5, 1.0, 2.0, 3.0, 5.0, 7.0 };
+ }
+ else if (highStatBinning)
+ {
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 2;
+ Float_t leadingPtArr[] = { 4.0, 6.0, 8.0, 15.0 };
+ Float_t assocPtArr[] = { 1.0, 4.0, 10.0 };
+ }
+ else // ALICE binning
+ {
+ if (1) // binning from preliminaries
+ {
+ Int_t maxLeadingPt = 2;
+ Int_t maxAssocPt = 7;
+// Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 10.0, 15.0 };
+ Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 15.0 };
+ Float_t assocPtArr[] = { 0.5, 1.5, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ leadingPtOffset = 2;
+ }
+ else if (0)
+ {
+ Int_t maxLeadingPt = 1;
+ Int_t maxAssocPt = 4;
+ Float_t leadingPtArr[] = { 8.0, 10.0, 15.0, 15.0 };
+ Float_t assocPtArr[] = { 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ leadingPtOffset = 2;
+ }
+ else
+ {
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 3;
+ Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ leadingPtOffset = 2;
+ }
+ }
+
+ Int_t nCentralityBins = 5;
+ Int_t centralityBins[] = { 1, 7, 9, 11, 13, 16 };
+ //Int_t centralityBins[] = { 1, 3, 5, 7, 9, 13 };
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1);
+
+// h->SetZVtxRange(-0.5, 0.5);
+// h->SetZVtxRange(1.5, 2.5);
+
+ AliUEHistograms* hMixed = 0;
+ AliUEHistograms* hMixed2 = 0; // GetUEHistogram(fileName2, 0, kTRUE);
+
+ if (twoD)
+ {
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName1, 0, kTRUE);
+ hMixed2 = (AliUEHistograms*) GetUEHistogram(fileName2, 0, kTRUE);
+ }
+
+
+ if (veryCentral)
+ {
+ Printf("WARNING: Reading mixed event from preliminaries/corrected_110317.root");
+ hMixed = (AliUEHistograms*) GetUEHistogram("preliminaries/corrected_110317.root", 0, kTRUE);
+ }
+
+ AliUEHistograms* h2 = 0;
+ if (!twoD)
+ h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+
+
+ TCanvas* canvas = new TCanvas("DeltaPhi", "DeltaPhi", 1000, 700);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+ TCanvas* canvas2 = new TCanvas("Centrality", "Centrality", 800, 600);
+ centralityHist = (TH1*) h->GetCentralityDistribution();
+ NormalizeToBinWidth(centralityHist);
+ centralityHist->Draw();
+ gPad->SetLogy();
+
+ TLegend* legend = new TLegend(0.2, 0.5, 0.95, 0.90);
+ TLegend* legend2 = new TLegend(0.5, 0.63, 0.95, 0.90);
+ legend2->SetFillColor(0);
+ legend2->SetTextSize(0.04);
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", leadingPtArr[i], leadingPtArr[i+leadingPtOffset]);
+
+ if (j == 0)
+ {
+ canvas2->cd();
+ h->GetUEHist(2)->GetEventHist()->GetGrid(6)->SetRangeUser(0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01);
+ centralityHist = h->GetUEHist(2)->GetEventHist()->ShowProjection(1, 6);
+ centralityHist->SetLineColor(i+2);
+ NormalizeToBinWidth(centralityHist);
+ centralityHist->DrawCopy("SAME");
+ h->GetUEHist(2)->GetEventHist()->GetGrid(6)->SetRangeUser(0, 0, -1);
+ legend2->AddEntry(centralityHist, str);
+ }
+
+ canvas->cd(j+1 + i * maxAssocPt);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ if (i == 0 && j == 3)
+ legend->Draw();
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+ TString str2;
+ str2.Form("%.1f < p_{T,assoc} < %.1f", gpTMin - 0.01, gpTMax + 0.01);
+
+ SetupRanges(h);
+
+ if (h2)
+ {
+ SetupRanges(h2); // SetEtaRange(0, 0) does not need to be called for the leading track result
+ }
+
+ if (hMixed)
+ {
+ SetupRanges(hMixed);
+ }
+
+ // delta phi
+ if (!twoD)
+ {
+ if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
+ continue;
+
+ // 0-5% --> 1, 5
+ // 0-10% --> 1, 6
+ // 0-20% --> 1, 8
+ // 20-40% --> 9, 10
+ // 40-80% --> 11, 14
+ // > 40% --> 11, 16
+
+ TString hist1Str, hist2Str, hist2bStr;
+
+ Float_t v2[3];
+ for (Int_t k=0; k<3; k++)
+ v2[k] = 0;
+ Float_t vn[3][3];
+
+ if (veryCentral)
+ {
+ Int_t step = 0;
+ TH1* hist1 = 0;
+ TH1* hist2 = 0;
+ TH1* hist2b = 0;
+ TH1* hist3 = 0;
+
+ GetDistAndFlow(h, hMixed, &hist1, v2, step, 0, 2, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01); hist1Str = "0-2%";
+// GetDistAndFlow(h, hMixed, &hist2, v2, step, 1, 3, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01); hist2Str = "1-3%";
+ GetDistAndFlow(h, hMixed, &hist2b, v2+2, step, 30, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01); hist2bStr = "30-40%";
+
+ //TH1* hist1 = h->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 1, 2); hist1Str = "0-2%";
+ //TH1* hist2 = h->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 2, 3); hist2Str = "2-3%";
+ //TH1* hist2b = h->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 10, 10); hist2bStr = "30-40%";
+ }
+ else if (flowComparison)
+ {
+ TH1* hist1 = h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 1, 5); hist1Str = "0-5%";
+ TH1* hist2 = h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 9, 10); hist2Str = "20-40%";
+ TH1* hist2b = h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 10, 10); hist2bStr = "30-40%";
+ TH1* hist3 = 0; // h2->GetUEHist(2)->GetUEHist(0, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01);
+ }
+ else if (rhicOverlay)
+ {
+ TH1* hist1 = h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 1, 8); hist1Str = "0-20%";
+ TH1* hist2 = h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 9, 12); hist2Str = "20-60%";
+ TH1* hist2b = h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 13, 15);hist2bStr = "60-90%";
+ TH1* hist3 = h2->GetUEHist(2)->GetUEHist(0, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01);
+ }
+ else
+ {
+ Int_t step = 6;
+ TH1* hist1 = 0;
+ TH1* hist2 = 0;
+ TH1* hist2b = 0;
+
+ Bool_t equivMixedBin = 1;
+ Int_t histType = 0;
+// histType = 20; Printf("WARNING: Using histogram type 20");
+
+// GetDistAndFlow(h, hMixed, &hist1, v2, step, 0, 2, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, vn[0]); hist1Str = "0-2%";
+// GetDistAndFlow(h, hMixed, &hist1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, vn[0]); hist1Str = "0-5%";
+ GetDistAndFlow(h, hMixed, &hist1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin); hist1Str = "0-5%";
+
+ /*
+ new TCanvas;
+ hist1->Draw();
+
+ TH1* histTmp1 = 0;
+ GetDistAndFlow(h, hMixed, &histTmp1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 10, equivMixedBin); hist1Str = "0-5%";
+ histTmp1->SetLineColor(2);
+ histTmp1->Draw("SAME");
+ histTmp1->Scale(1 / 0.75);
+
+ histTmp1 = 0;
+ GetDistAndFlow(h, hMixed, &histTmp1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 20, equivMixedBin); hist1Str = "0-5%";
+ histTmp1->SetLineColor(4);
+ histTmp1->Draw("SAME");
+ histTmp1->Scale(1 / 0.75);
+
+ histTmp1 = 0;
+ GetDistAndFlow(h, hMixed, &histTmp1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 11, equivMixedBin); hist1Str = "0-5%";
+ histTmp1->SetLineColor(3);
+ histTmp1->Draw("SAME");
+ histTmp1->Scale(1 / 0.25);
+
+ return;
+ */
+
+ GetDistAndFlow(h, hMixed, &hist2, v2+1, step, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin); hist2Str = "0-20%";
+// GetDistAndFlow(h, hMixed, &hist2b, v2[2], step, 60, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 0, equivMixedBin); hist2bStr = "60-80%";
+ GetDistAndFlow(h, hMixed, &hist2b, v2+2, step, 60, 90, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin); hist2bStr = "60-90%";
+
+ Printf("%f %f %f", v2[0], v2[1], v2[2]);
+// Printf("%f %f %f", vn[0][1], vn[0][2], vn[0][3]);
+
+// TH1* hist1 = h->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 1, 8); hist1Str = "0-20%";
+// TH1* hist2 = h->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 9, 12); hist2Str = "20-60%";
+// TH1* hist2b = h->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 13, 15); hist2bStr = "60-90%";
+
+ step = 6;
+// TH1* hist3Old = h2->GetUEHist(2)->GetUEHist(step, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01);
+ TH1* hist3 = 0;
+ GetDistAndFlow(h2, hMixed2, &hist3, 0, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin);
+// hist3->Rebin(2); hist3->Scale(0.5);
+
+/* new TCanvas;
+ hist3->Draw();
+ hist3Old->DrawCopy("SAME")->SetLineColor(2); */
+ }
+
+ /*
+ RemoveBaseLine(hist1);
+ RemoveBaseLine(hist2);
+ RemoveBaseLine(hist2b);
+ RemoveBaseLine(hist3);
+ */
+
+ TString newTitle;
+ newTitle.Form("%s - %s", str.Data(), str2.Data());
+ if (hist1)
+ {
+ hist1->SetName(Form("dphi_%d_%d_%d", i, j, 0));
+ hist1->SetTitle(newTitle + " - " + hist1Str);
+ }
+ if (hist2)
+ {
+ hist2->SetName(Form("dphi_%d_%d_%d", i, j, 1));
+ hist2->SetTitle(newTitle + " - " + hist2Str);
+ }
+ if (hist2b)
+ {
+ hist2b->SetName(Form("dphi_%d_%d_%d", i, j, 2));
+ hist2b->SetTitle(newTitle + " - " + hist2bStr);
+ }
+ if (hist3)
+ {
+ hist3->SetName(Form("dphi_%d_%d_%d", i, j, 3));
+ hist3->SetTitle(newTitle + " - pp");
+ }
+
+ if (0)
+ {
+ hist1->Scale(1.0 / hist1->Integral());
+ hist2->Scale(1.0 / hist2->Integral());
+ hist3->Scale(1.0 / hist3->Integral());
+ }
+
+ if (i == 0 && j == 0)
+ {
+ legend->SetFillColor(0);
+ legend->AddEntry(hist1, "Pb+Pb 0-5%");
+ if (hist2)
+ legend->AddEntry(hist2, "Pb+Pb 20-40%");
+ if (hist2b)
+ legend->AddEntry(hist2b, "Pb+Pb 60-90%");
+ if (hist3)
+ legend->AddEntry(hist3, "p+p 7 TeV");
+ legend->SetTextSize(0.08);
+ }
+
+ Prepare1DPlot(hist1);
+ Prepare1DPlot(hist2);
+ Prepare1DPlot(hist2b);
+ Prepare1DPlot(hist3);
+
+ Double_t yMin = 0.01;
+ Double_t yMax2 = yMax;
+
+ if (yMax < 0)
+ {
+ yMin = -0.01; //TMath::Min(hist1->GetMinimum(), hist2->GetMinimum()) * 0.97;
+ yMax2 = TMath::Max((hist3) ? hist3->GetMaximum() : 0.0, TMath::Max(hist1->GetMaximum(), (hist2) ? hist2->GetMaximum() : 0.0)) * 1.03;
+ }
+
+ yMax2 *= 1.4;
+
+ TH2F* dummy = new TH2F("dummy", "", 100, hist1->GetXaxis()->GetBinLowEdge(1), hist1->GetXaxis()->GetBinUpEdge(hist1->GetNbinsX()), 1000, yMin, yMax2); //TMath::Max(hist1->GetMaximum(), hist2->GetMaximum()) * 1.1);
+ dummy->SetStats(kFALSE);
+ dummy->SetXTitle(hist1->GetXaxis()->GetTitle());
+ dummy->SetYTitle(hist1->GetYaxis()->GetTitle());
+ dummy->SetYTitle("1/N_{trig} dN/d#Delta#phi");
+ Prepare1DPlot(dummy);
+
+ dummy->GetYaxis()->SetTitleOffset(0.8);
+
+ dummy->GetXaxis()->SetLabelSize(0.08);
+ dummy->GetYaxis()->SetLabelSize(0.08);
+ dummy->GetXaxis()->SetTitleSize(0.08);
+ dummy->GetYaxis()->SetTitleSize(0.08);
+ /*
+ dummy->GetYaxis()->SetTitleOffset(0.8);
+ */
+
+ dummyTmp = dummy->DrawCopy();
+
+ hist1->DrawCopy("SAME");
+
+ if (hMixed)
+ {
+ SetupRanges(hMixed);
+ // for HI file do not set range in eta anymore after it was changed to delta eta axis
+ hMixed->SetEtaRange(0, 0);
+ }
+ TH1* hist1Mixed = 0; //hMixed->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 1, 5);
+ //DrawFlow(v2[0], hist1, leadingPtArr[i], assocPtArr[j], hist1Mixed, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2, kFALSE, 0, vn[0]);
+ DrawFlow(v2[0], hist1, leadingPtArr[i], assocPtArr[j], hist1Mixed, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2, kFALSE, 0);
+
+ //hist1Mixed->Draw("SAME");
+ if (hist2)
+ {
+ hist2->SetLineColor(2);
+ hist2->DrawCopy("SAME");
+
+ TH1* hist2Mixed = 0; //hMixed->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 9, 10);
+ //hist2Mixed->SetLineColor(2);
+ //hist2Mixed->Draw("SAME");
+
+ DrawFlow(v2[1], hist2, leadingPtArr[i], assocPtArr[j], hist2Mixed, i, 1, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+ //DrawFlow(GetFlow05(), hist2, leadingPtArr[i], assocPtArr[j], hist2Mixed);
+ }
+ if (hist2b)
+ {
+ hist2b->SetLineColor(3);
+ hist2b->DrawCopy("SAME");
+
+ TH1* hist2bMixed = 0; //hMixed->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 13, 15);
+ DrawFlow(v2[2], hist2b, leadingPtArr[i], assocPtArr[j], hist2bMixed, i, 2, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+ //DrawFlow(GetFlow05(), hist2b, leadingPtArr[i], assocPtArr[j], hist2bMixed);
+ }
+ if (hist3)
+ {
+ hist3->SetLineColor(4);
+ hist3->DrawCopy("SAME");
+
+ DrawFlow(0, hist3, leadingPtArr[i], assocPtArr[j], 0, i, 3, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+ }
+ //dummyTmp->GetYaxis()->SetRangeUser(0, 1.1 * TMath::Max(TMath::Max(hist1->GetMaximum(), hist2->GetMaximum()), hist2b->GetMaximum()));
+ }
+ else // delta eta delta phi
+ {
+ if (twoD == 1)
+ {
+ if (assocPtArr[j] > leadingPtArr[i])
+ continue;
+ }
+ else
+ {
+ Int_t jRef = 1;
+
+ if (assocPtArr[jRef] > leadingPtArr[i])
+ continue;
+
+ // fix pt assoc
+ gpTMin = assocPtArr[jRef] + 0.01;
+ gpTMax = assocPtArr[jRef+1] - 0.01;
+
+ str2.Form("%.1f < p_{T,assoc} < %.1f", gpTMin - 0.01, gpTMax + 0.01);
+
+ // use j for centrality
+ if (j >= nCentralityBins)
+ continue;
+
+ centrBegin = centralityBins[j];
+ centrEnd = centralityBins[j+1] - 1;
+ }
+
+ SetupRanges(h);
+ // for HI file do not set range in eta anymore after it was changed to delta eta axis
+ h->SetEtaRange(0, 0);
+
+ SetupRanges(hMixed);
+ // for HI file do not set range in eta anymore after it was changed to delta eta axis
+ hMixed->SetEtaRange(0, 0);
+
+ TH2* histSame = (TH2*) h->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, centrBegin, centrEnd, kTRUE);
+ TH2* histMixed = (TH2*) hMixed->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, centrBegin, centrEnd, kTRUE);
+
+ // rebin
+ histSame->Rebin2D(2, 2);
+ histMixed->Rebin2D(2, 2);
+
+ if (1)
+ {
+ // fit delta eta, assuming no dependence on dphi
+
+ //new TCanvas; histMixed->DrawCopy("SURF1");
+
+ histMixedproj = histMixed->ProjectionY();
+ histMixedproj->Scale(1.0 / histMixed->GetNbinsX());
+
+ for (Int_t x=1; x<=histMixed->GetNbinsX(); x++)
+ for (Int_t y=1; y<=histMixed->GetNbinsY(); y++)
+ histMixed->SetBinContent(x, y, histMixedproj->GetBinContent(y));
+
+ //new TCanvas; histMixed->DrawCopy("SURF1");
+ }
+
+ histSame->SetStats(0);
+ histSame->GetYaxis()->SetRangeUser(-1.5, 1.5);
+ histSame->SetTitle("");
+ histSame->Divide(histMixed);
+ histSame->DrawCopy("SURF1");
+
+ TString str3;
+ str3.Form("%d-%d%%", (Int_t) h->GetCentralityDistribution()->GetXaxis()->GetBinLowEdge(centrBegin), (Int_t) h->GetCentralityDistribution()->GetXaxis()->GetBinUpEdge(centrEnd));
+ latex = new TLatex(0.15, 0.95, str3);
+ latex->SetNDC();
+ latex->SetTextSize(0.08);
+ latex->Draw();
+ }
+
+ latex = new TLatex(0.55, 0.8, str);
+ latex->SetNDC();
+ latex->SetTextSize(0.06);
+ latex->Draw();
+
+ latex = new TLatex(0.55, 0.88, str2);
+ latex->SetNDC();
+ latex->SetTextSize(0.06);
+ latex->Draw();
+
+// if (i == 0) return;
+ }
+
+ canvas->SaveAs(Form("DeltaPhi_%.2f.png", yMax));
+
+ canvas2->cd();
+ legend2->Draw();
+
+ //TString name;
+ //name.Form("%s_%.2f_%.2f_%.2f_%.2f.png", TString(gSystem->BaseName(fileName1)).Tokenize(".")->First()->GetName(), leadingPtArr[i], leadingPtArr[i+1], assocPtArr[j], assocPtArr[j+1]);
+}
+
+void ExamplePhiEtaGap(const char* fileNamePbPb, const char* fileNamePbPbMix)
+{
+ loadlibs();
+
+ if (!fileNamePbPbMix)
+ fileNamePbPbMix = fileNamePbPb;
+
+ Int_t leadingPtOffset = 1;
+
+ Int_t maxLeadingPt = 4;
+ Int_t maxAssocPt = 5;
+ Float_t leadingPtArr[] = { 2.0, 3.0, 6.0, 6.0, 8.0, 10.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ leadingPtOffset = 1;
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileNamePbPb);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPbMix, 0, kTRUE);
+
+ Int_t i=1;
+ Int_t j=2;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
+ continue;
+
+ TString hist1Str, hist2Str, hist2bStr;
+
+ Int_t step = 6;
+ TH1* hist1 = 0;
+ TH1* hist2 = 0;
+ TH1* hist3 = 0;
+
+ Float_t v2[3];
+
+ Bool_t equivMixedBin = kTRUE;
+
+ Int_t centralityBegin = 20;
+ Int_t centralityEnd = 30;
+
+ GetDistAndFlow(h, hMixed, &hist1, 0, step, centralityBegin, centralityEnd, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 20, equivMixedBin);
+
+ GetDistAndFlow(h, hMixed, &hist2, 0, step, centralityBegin, centralityEnd, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 10, equivMixedBin);
+// hist2->Scale(1.0 / 0.8);
+
+ GetDistAndFlow(h, hMixed, &hist3, 0, step, centralityBegin, centralityEnd, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 11, equivMixedBin);
+ hist3->Scale(1.0 / 0.8);
+
+ hist1->Draw();
+ hist2->SetLineColor(2);
+ hist2->Draw("SAME");
+ hist3->SetLineColor(4);
+ hist3->Draw("SAME");
+}
+
+void ExampleDEtaDPhi(const char* fileNamePbPb, const char* fileNamePbPbMix)
+{
+ loadlibs();
+
+ if (!fileNamePbPbMix)
+ fileNamePbPbMix = fileNamePbPb;
+
+ Int_t leadingPtOffset = 1;
+
+ Int_t maxLeadingPt = 4;
+ Int_t maxAssocPt = 5;
+ Float_t leadingPtArr[] = { 1.0, 2.0, 3.0, 6.0, 6.0, 8.0, 10.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 1.5, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ leadingPtOffset = 1;
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileNamePbPb);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPbMix, 0, kTRUE);
+
+ Int_t i=1;
+ Int_t j=3;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ Int_t step = 6;
+ TH1* hist1 = 0;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+
+ hist1->Draw("SURF1");
+}
+
+Double_t GetEtaCut(TTree* analysisSettings)
+{
+ Double_t etaCut = 0;
+ if (analysisSettings)
+ {
+ analysisSettings->GetBranch("fTrackEtaCut")->SetAddress(&etaCut);
+ analysisSettings->GetEntry(0);
+ }
+ return etaCut;
+}
+
+void PlotDeltaPhiEtaGap(const char* fileNamePbPb, const char* fileNamePbPbMix = 0, const char* fileNamepp = 0, const char* fileNamepp2 = 0, const char* outputFile = "dphi_corr.root")
+{
+ loadlibs();
+
+ if (!fileNamePbPbMix)
+ fileNamePbPbMix = fileNamePbPb;
+
+ file = TFile::Open(outputFile, "RECREATE");
+ file->Close();
+
+ Int_t leadingPtOffset = 1;
+
+ Bool_t symmetrizePt = kFALSE;
+ Int_t maxLeadingPt = 4;
+ Int_t maxAssocPt = 7;
+ if (0)
+ {
+ //PbPb, NS peak shapes
+// Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0 };
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 8.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ }
+ else if (1)
+ {
+ //Example for the Hadrons_Example wagon
+ maxLeadingPt = 3;
+ maxAssocPt = 6;
+ Float_t leadingPtArr[] = { 3.0, 5.0, 8.0, 16.0 };
+ Float_t assocPtArr[] = {0.15, 0.3, 50.0, 0.5, 50.0, 1.0, 50.0 };
+ }
+ else if (0)
+ {
+ //pA, trigger from all pT
+ maxLeadingPt = 1;
+ maxAssocPt = 10;
+ Float_t leadingPtArr[] = { 0.5, 4.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 0.5, 4.0 };
+// symmetrizePt = kTRUE;
+ }
+ else if (0)
+ {
+ //pA, associated from all pT
+ maxLeadingPt = 6;
+ maxAssocPt = 2;
+ Float_t leadingPtArr[] = { 0.5, 1.0, 2.0, 3.0, 4.0, 0.5, 4.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 4.0 };
+// symmetrizePt = kTRUE;
+ }
+ else if (0)
+ {
+ //pA
+ maxLeadingPt = 5;
+ maxAssocPt = 6;
+ Float_t leadingPtArr[] = { 0.5, 1.0, 1.5, 2.0, 2.5, 4.0, 8.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 1.5, 2.0, 2.5, 4.0, 8.0, 10.0, 12.0 };
+ }
+ else if (1)
+ {
+ //pA, fine
+ maxLeadingPt = 6;
+ maxAssocPt = 7;
+ Float_t leadingPtArr[] = { 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 0.5, 4.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 0.5, 4.0, 12.0 };
+ }
+ else if (0)
+ {
+ //pA, v3
+ maxLeadingPt = 3;
+ maxAssocPt = 4;
+ Float_t leadingPtArr[] = { 0.5, 1.5, 2.5, 4.0, 5.0, 8.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.5, 2.5, 4.0, 5.0, 8.0, 10.0, 12.0 };
+ }
+ else if (0)
+ {
+ //pA 2012; MC validation (also PbPb)
+ maxLeadingPt = 3;
+ maxAssocPt = 4;
+ Float_t leadingPtArr[] = { 0.5, 1.0, 2.0, 4.0, 8.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 4.0, 8.0, 10.0, 12.0 };
+ }
+ else if (0)
+ {
+ // pA, CMS ridge comparison
+ maxLeadingPt = 4;
+ maxAssocPt = 5;
+ Float_t leadingPtArr[] = { 0.5, 1.0, 2.0, 3.0, 4.0, 8.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ }
+ else if (0)
+ {
+ maxLeadingPt = 1;
+ maxAssocPt = 3;
+ Float_t leadingPtArr[] = { 2.0, 3.0};
+ Float_t assocPtArr[] = {0.15, 0.5, 1.0, 2.0};
+ }
+ else if (0) //Comparison to STAR (p_T,t)
+ {
+ maxLeadingPt = 4;
+ maxAssocPt = 3;
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 5.0, 6.0};
+ Float_t assocPtArr[] = {0.15, 0.5, 1.5, 6.0};
+ }
+ else if (0) //Comparison to STAR (p_T,a)
+ {
+ maxLeadingPt = 1;
+ maxAssocPt = 6;
+ Float_t leadingPtArr[] = { 3.0, 6.0};
+ Float_t assocPtArr[] = {0.15, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0};
+ }
+ else if (0)
+ {
+ maxLeadingPt = 4;
+ maxAssocPt = 4;
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 8.0, 15.0 };
+ Float_t assocPtArr[] = {0.15, 0.5, 1.0, 1.5, 2.0};
+ }
+
+ TList* list = 0;
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileNamePbPb, &list);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPbMix, 0, kTRUE);
+// hMixed3 = (AliUEHistograms*) hMixed->Clone();
+
+ if (symmetrizePt)
+ {
+ h->GetUEHist(2)->SymmetrizepTBins();
+ hMixed->GetUEHist(2)->SymmetrizepTBins();
+ }
+
+ TList* list2 = 0;
+ AliUEHistograms* h2 = 0;
+ AliUEHistograms* hMixed2 = 0;
+ if (fileNamepp)
+ {
+ h2 = (AliUEHistograms*) GetUEHistogram(fileNamepp, &list2);
+ hMixed2 = (AliUEHistograms*) GetUEHistogram(fileNamepp, 0, kTRUE);
+ }
+
+ TList* list3 = 0;
+ AliUEHistograms* h3 = 0;
+ AliUEHistograms* hMixed3 = 0;
+ if (fileNamepp2)
+ {
+ h3 = (AliUEHistograms*) GetUEHistogram(fileNamepp2, &list3);
+ hMixed3 = (AliUEHistograms*) GetUEHistogram(fileNamepp2, 0, kTRUE);
+ }
+
+// h->GetUEHist(2)->SetGetMultCache();
+// hMixed->GetUEHist(2)->SetGetMultCache();
+
+ TH2* refMultRaw = (TH2*) list->FindObject("referenceMultiplicity");
+ if (refMultRaw)
+ {
+// new TCanvas; refMultRaw->Draw("COLZ");
+ Int_t nCentrBins = 4;
+ Double_t centrBins[] = { 0., 20., 40., 60., 100. };
+// Double_t centrBins[] = { 0., 3., 10., 50., 100. };
+ TH1* refMult = new TH1F("refMult", ";centrality;<Nch>", nCentrBins, centrBins);
+ for (Int_t i=0; i<nCentrBins; i++)
+ {
+ TH1* proj = refMultRaw->ProjectionY(Form("proj%d", i), refMultRaw->GetXaxis()->FindBin(centrBins[i] + 0.1), refMultRaw->GetXaxis()->FindBin(centrBins[i+1] - 0.1));
+// new TCanvas; proj->DrawClone();
+ refMult->SetBinContent(refMult->GetXaxis()->FindBin(centrBins[i] + 0.1), proj->GetMean());
+ refMult->SetBinError(refMult->GetXaxis()->FindBin(centrBins[i] + 0.1), proj->GetMeanError());
+ Printf("Ref multiplicity for centrality %f to %f: %f", centrBins[i], centrBins[i+1], proj->GetMean());
+ }
+// new TCanvas; refMult->Draw();
+ file = TFile::Open(outputFile, "UPDATE");
+ refMult->Write();
+ file->Close();
+// return;
+ }
+
+ tree = (TTree*) list->FindObject("UEAnalysisSettings");
+ Double_t etaCut = GetEtaCut(tree);
+ Printf("Setting eta cut to %f", etaCut);
+ h->SetTrackEtaCut(etaCut);
+
+ if (list2)
+ {
+ tree = (TTree*) list2->FindObject("UEAnalysisSettings");
+ if (tree)
+ {
+ Double_t etaCut = GetEtaCut(tree);
+ Printf("Setting eta cut to %f", etaCut);
+ h2->SetTrackEtaCut(etaCut);
+ }
+ else
+ {
+ Double_t etaCut = 0.9;
+ Printf("WARNING: Setting eta cut to %f without checking", etaCut);
+ h2->SetTrackEtaCut(etaCut);
+ }
+ }
+
+ if (list3)
+ {
+ tree = (TTree*) list3->FindObject("UEAnalysisSettings");
+ if (tree)
+ {
+ Double_t etaCut = GetEtaCut(tree);
+ Printf("Setting eta cut to %f", etaCut);
+ h3->SetTrackEtaCut(etaCut);
+ }
+ else
+ {
+ Double_t etaCut = 0.9;
+ Printf("WARNING: Setting eta cut to %f without checking", etaCut);
+ h3->SetTrackEtaCut(etaCut);
+ }
+ }
+
+ // return;
+
+ if (0)
+ {
+ h->SetZVtxRange(-0.99, 0.99);
+ hMixed->SetZVtxRange(-0.99, 0.99);
+ h2->SetZVtxRange(-0.99, 0.99);
+ hMixed2->SetZVtxRange(-0.99, 0.99);
+ }
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=1; j<maxAssocPt; j++)
+ {
+ if(0){
+ if(j!=(i+1))continue;
+ Printf("\nOnly symmetric pt bins selected, leading pt: %f - %f associated pt: %f - %f",leadingPtArr[i],leadingPtArr[i+leadingPtOffset],assocPtArr[j],assocPtArr[j+1]);
+ }
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+ if(gpTMin >= gpTMax)continue;
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+ SetupRanges(h2);
+ SetupRanges(hMixed2);
+ SetupRanges(h3);
+ SetupRanges(hMixed3);
+// SetupRanges(hMixed3);
+
+ if(0)if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
+ continue;
+
+ TH1* hist1 = 0;
+ TH1* hist2 = 0;
+ TH1* hist3 = 0;
+ TH1* hist4 = 0;
+ TH1* hist5 = 0;
+ TH1* hist6 = 0;
+ TH1* hist7 = 0;
+ TH1* hist8 = 0;
+
+ Bool_t equivMixedBin = 1; //kFALSE; // TODO ?
+ Bool_t scaleToPairs = kTRUE;
+
+ Int_t histType = 1;
+
+ if (0)
+ {
+ // PbPb
+ Int_t step = 8;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+// new TCanvas; hist1->DrawClone("SURF1");
+// return;
+
+/* GetDistAndFlow(h, hMixed, &hist2, 0, step, 0, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ new TCanvas; hist2->DrawClone("SURF1");
+
+ hist1->Divide(hist2);
+ new TCanvas; hist1->DrawClone("SURF1");
+
+ return;*/
+
+// new TCanvas; hist1->Draw("SURF1"); return;
+
+ GetSumOfRatios(h, hMixed, &hist5, step, 10, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist6, step, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 60, 70, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ step = 8;
+ if (h2)
+ GetSumOfRatios(h2, hMixed2, &hist3, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+// new TCanvas; hist3->Draw("SURF1"); return;
+ }
+ else if (0)
+ {
+ // pA, fine binning
+ Int_t step = 8;
+// Int_t step = 0;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, step, 60, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+// GetSumOfRatios(h, hMixed, &hist7, step, 70, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+// GetSumOfRatios(h, hMixed, &hist8, step, 80, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+
+ if (h2)
+ GetSumOfRatios(h2, hMixed2, &hist3, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+
+ if (h3)
+ GetSumOfRatios(h3, hMixed3, &hist6, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+ else if (1)
+ {
+ // pp, MB
+ Int_t step = 8;
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE, kTRUE);
+ }
+ else if (0)
+ {
+ // pp
+ Int_t step = 8;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 4, 4, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 3, 3, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 2, 2, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, step, 1, 1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE, kTRUE);
+ }
+ else if (0)
+ {
+ // pA, course binning
+ Int_t step = 8;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 0, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 40, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+
+ GetDistAndFlow(h, hMixed, &hist5, 0, step, 0, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+
+ GetSumOfRatios(h2, hMixed2, &hist3, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+ else if (0)
+ {
+ // pA, CMS ridge paper comparison
+ Int_t step = 8;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 3, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 3, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 10, 50, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, step, 50, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist7, step, 80, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+ else if (0)
+ {
+ // pA, MC, validation binning
+ GetSumOfRatios(h, hMixed, &hist1, 0, 0, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, 10, 0, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+ else if (0)
+ {
+ // pA, MC, validation binning
+ GetSumOfRatios(h, hMixed, &hist1, 0, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, 0, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist3, 0, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, 0, 60, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, 10, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist6, 10, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist7, 10, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist8, 10, 60, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+ else if (1)
+ {
+ // pA, MC, validation binning, without vertex axis
+ GetDistAndFlow(h, hMixed, &hist1, 0, 0, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist2, 0, 0, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist3, 0, 0, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist4, 0, 0, 60, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist5, 0, 10, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist6, 0, 10, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist7, 0, 10, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist8, 0, 10, 60, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ }
+ else if (1)
+ {
+ Int_t step = 0;
+
+ Printf(">>>>>>>> Not using GetSumOfRatios!!!");
+ GetDistAndFlow(h, hMixed, &hist1, 0, step, 0, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+// Printf("integral: %f", ((TH2*) hist1)->Integral(1, 36, 5, 36));
+// return;
+
+ GetDistAndFlow(h, hMixed, &hist5, 0, step, 10, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist4, 0, step, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist6, 0, step, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ GetDistAndFlow(h, hMixed, &hist2, 0, step, 60, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+// step = 6;
+ GetDistAndFlow(h2, hMixed2, &hist3, 0, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+// new TCanvas; hist3->DrawClone("SURF1");
+// GetDistAndFlow(hMixed2, 0, &hist3, 0, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+// new TCanvas; hist3->DrawClone("SURF1");
+// Printf("integral: %f", ((TH2*) hist3)->Integral(1, 36, 5, 36));
+// return;
+
+ //MC closure test in pA and PbPb with PID
+ // GetDistAndFlow(h, hMixed, &hist1, 0, step, 0, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ // GetDistAndFlow(h, hMixed, &hist2, 0, step, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ // GetDistAndFlow(h, hMixed, &hist4, 0, step, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ // GetDistAndFlow(h, hMixed, &hist5, 0, step, 60, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ // GetDistAndFlow(h, hMixed, &hist7, 0, step, 80, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ // GetDistAndFlow(h, hMixed, &hist8, 0, step, 0, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ }
+ else if (0)
+ {
+ Int_t step = 8;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 60, 70, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 70, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist3, step, 80, 90, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+ else if (1)
+ {
+ Int_t step = 8;
+
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 1, 3, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 3, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, step, 5, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist6, step, 10, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
+ }
+
+ file = TFile::Open(outputFile, "UPDATE");
+
+ if (hist1)
+ {
+ hist1->SetName(Form("dphi_%d_%d_%d", i, j, 0));
+ hist1->Write();
+ }
+
+ if (hist2)
+ {
+ hist2->SetName(Form("dphi_%d_%d_%d", i, j, 1));
+ hist2->Write();
+ }
+
+ if (hist4)
+ {
+ hist4->SetName(Form("dphi_%d_%d_%d", i, j, 3));
+ hist4->Write();
+ }
+
+ if (hist5)
+ {
+ hist5->SetName(Form("dphi_%d_%d_%d", i, j, 4));
+ hist5->Write();
+ }
+
+ if (hist7)
+ {
+ hist7->SetName(Form("dphi_%d_%d_%d", i, j, 6));
+ hist7->Write();
+ }
+
+ if (hist8)
+ {
+ hist8->SetName(Form("dphi_%d_%d_%d", i, j, 7));
+ hist8->Write();
+ }
+
+ if (hist6)
+ {
+ hist6->SetName(Form("dphi_%d_%d_%d", i, j, 5));
+ TString title(hist6->GetTitle());
+ title.ReplaceAll("0--1%", "pp");
+ hist6->SetTitle(title);
+ hist6->Write();
+ }
+
+ if (hist3)
+ {
+ hist3->SetName(Form("dphi_%d_%d_%d", i, j, 2));
+ TString title(hist3->GetTitle());
+ title.ReplaceAll("0--1%", "pp");
+ hist3->SetTitle(title);
+ hist3->Write();
+ }
+
+ file->Close();
+
+ delete hist1;
+ delete hist2;
+ delete hist3;
+ delete hist4;
+ delete hist5;
+ delete hist6;
+ delete hist7;
+ delete hist8;
+
+// return;
+ }
+
+ delete h;
+ delete hMixed;
+}
+
+void ExtractMiniJetHistograms(const char* fileNamePbPb, Bool_t useMixed = kTRUE, const char* outputFile = "dphi_corr.root")
+{
+ loadlibs();
+
+ file = TFile::Open(outputFile, "RECREATE");
+ file->Close();
+
+ Int_t leadingPtOffset = 1;
+
+ if (1)
+ {
+ // minijets
+ Int_t maxLeadingPt = 1;
+ Int_t maxAssocPt = 1;
+ Float_t leadingPtArr[] = { 0.7, 5.0 };
+ Float_t assocPtArr[] = { 0.7, 5.0 };
+ }
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileNamePbPb);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileNamePbPb, 0, kTRUE);
+
+ Int_t step = 8;
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ {
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+// i = 3; j = 6;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
+ continue;
+
+ if (1)
+ {
+ // pA, minijets, very fine binning
+
+ for (Int_t centr=0; centr<20; centr++)
+ {
+ TH1* hist1 = 0;
+ if (useMixed)
+ GetSumOfRatios(h, hMixed, &hist1, step, 5*centr, 5*centr+5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kFALSE);
+ else
+ GetDistAndFlow(h, 0, &hist1, 0, step, 5*centr, 5*centr+5, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, 1, 1, 0, kTRUE);
+
+ if (!hist1)
+ continue;
+
+ file = TFile::Open(outputFile, "UPDATE");
+ hist1->SetName(Form("dphi_%d_%d_%d", i, j, centr));
+ hist1->Write();
+ file->Close();
+
+ delete hist1;
+ }
+ }
+ }
+
+ TH1* triggers = h->GetUEHist(2)->GetTriggersAsFunctionOfMultiplicity(step, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01);
+ triggers->SetName(Form("triggers_%d", i));
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", leadingPtArr[i], leadingPtArr[i+leadingPtOffset]);
+ triggers->SetTitle(str);
+
+ file = TFile::Open(outputFile, "UPDATE");
+ triggers->Write();
+ file->Close();
+ }
+
+ TH1* events = h->GetEventCount()->ProjectionY("events", h->GetEventCount()->GetXaxis()->FindBin(step), h->GetEventCount()->GetXaxis()->FindBin(step));
+ file = TFile::Open(outputFile, "UPDATE");
+ events->Write("events");
+ file->Close();
+}
+
+TLatex* DrawLatex(Float_t x, Float_t y, Int_t color, const char* text, Float_t fontSize = 0.06)
+{
+ latex = new TLatex(x, y, text);
+ latex->SetNDC();
+ latex->SetTextSize(fontSize);
+ latex->SetTextColor(color);
+ latex->Draw();
+ return latex;
+}
+
+void DrawChi2NDF(TF1* func, TH1* hist, Float_t x, Float_t y, Int_t color = 1)
+{
+ Float_t chi2 = 0;
+ Int_t ndf = 0;
+ for (Int_t i=hist->GetXaxis()->FindBin(-0.8); i<=hist->GetXaxis()->FindBin(0.8); i++)
+ {
+ chi2 += TMath::Power((hist->GetBinContent(i) - func->Integral(hist->GetXaxis()->GetBinLowEdge(i), hist->GetXaxis()->GetBinUpEdge(i)) / (hist->GetXaxis()->GetBinUpEdge(i) - hist->GetXaxis()->GetBinLowEdge(i))) / hist->GetBinError(i), 2);
+ ndf++;
+ }
+ ndf -= func->GetNumberFreeParameters();
+
+ printf("#chi^{2}/ndf = %.1f/%d = %.1f ", func->GetChisquare(), func->GetNDF(), func->GetChisquare() / func->GetNDF());
+ Printf("#chi^{2}/ndf = %.1f/%d = %.1f", chi2, ndf, chi2 / ndf);
+
+ DrawLatex(x, y, color, Form("#chi^{2}/ndf = %.1f/%d = %.1f", func->GetChisquare(), func->GetNDF(), func->GetChisquare() / func->GetNDF()));
+ DrawLatex(x, y - 0.05, color, Form("#chi^{2}/ndf = %.1f/%d = %.1f", chi2, ndf, chi2 / ndf));
+}
+
+void FitDeltaPhiEtaGap(TH1* hist, Int_t color, TGraphErrors* graph, Float_t x, Float_t yPosChi2)
+{
+ hist->SetLineColor(color);
+ hist->DrawCopy("SAME");
+
+ Bool_t twoGauss = kFALSE;
+
+ if (!twoGauss)
+ func = new TF1("func", "[0]+gaus(1)");
+ else
+ {
+ func = new TF1("func", "[0]+gaus(1)+gaus(4)");
+ func->FixParameter(5, 0);
+ func->SetParLimits(3, 0.1, 10);
+ func->SetParLimits(6, 0.1, 10);
+ func->SetParLimits(1, 0, 10);
+ func->SetParLimits(4, 0, 10);
+ }
+
+ func->SetParameters(0, 1, 0, 0.3, 1, 0, 1);
+ func->FixParameter(2, 0);
+ func->SetLineColor(color);
+
+ hist->Fit(func, "", "SAME");
+// hist->Fit(func, "IM", "SAME");
+
+ if (twoGauss)
+ {
+ func2 = new TF1("func2", "[0]+gaus(1)", -1.5, 4.5);
+ func2->SetParameters(func->GetParameter(0), func->GetParameter(1), func->GetParameter(2), func->GetParameter(3));
+ func2->SetLineColor(color);
+ func2->SetLineWidth(1);
+ func2->SetLineStyle(2);
+ func2->Draw("SAME");
+
+ func2 = new TF1("func2", "[0]+gaus(1)", -1.5, 4.5);
+ func2->SetParameters(func->GetParameter(0), func->GetParameter(4), func->GetParameter(5), func->GetParameter(6));
+ func2->SetLineColor(color);
+ func2->SetLineWidth(1);
+ func2->SetLineStyle(2);
+ func2->Draw("SAME");
+ }
+
+ if (twoGauss)
+ {
+ Bool_t firstIsMin = func->GetParameter(3) < func->GetParameter(6);
+
+ Bool_t onlyOne = kFALSE;
+ if (func->GetParameter(1) / func->GetParameter(4) < 0.1)
+ {
+ firstIsMin = kFALSE;
+ onlyOne = kTRUE;
+ }
+ if (func->GetParameter(1) / func->GetParameter(4) > 10)
+ {
+ firstIsMin = kTRUE;
+ onlyOne = kTRUE;
+ }
+
+ graph->SetPoint(graph->GetN(), x - 0.1, func->GetParameter((firstIsMin) ? 3 : 6));
+ graph->SetPointError(graph->GetN()-1, 0, func->GetParError((firstIsMin) ? 3 : 6));
+
+ if (!onlyOne)
+ {
+ graph->SetPoint(graph->GetN(), x + 0.1, TMath::Abs(func->GetParameter((!firstIsMin) ? 3 : 6)));
+ graph->SetPointError(graph->GetN()-1, 0, func->GetParError((!firstIsMin) ? 3 : 6));
+ }
+ }
+ else
+ {
+ graph->SetPoint(graph->GetN(), x, TMath::Abs(func->GetParameter(3)));
+ graph->SetPointError(graph->GetN()-1, 0, func->GetParError(3));
+ }
+
+ DrawChi2NDF(func, hist, 0.5, yPosChi2, color);
+}
+
+void AnalyzeDeltaPhiEtaGap(const char* fileName)
+{
+ TFile::Open(fileName);
+
+ Int_t maxLeadingPt = 5;
+ Int_t maxAssocPt = 6;
+
+ TCanvas* canvas = new TCanvas("DeltaPhi", "DeltaPhi", 1000, 700);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+ TGraphErrors* width1 = new TGraphErrors;
+ TGraphErrors* width2 = new TGraphErrors;
+ TGraphErrors* width3 = new TGraphErrors;
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ canvas->cd(j+1 + i * maxAssocPt);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ hist1 = (TH1*) gFile->Get(Form("dphi_%d_%d_%d", i, j, 0));
+ hist2 = (TH1*) gFile->Get(Form("dphi_%d_%d_%d", i, j, 1));
+ hist3 = (TH1*) gFile->Get(Form("dphi_%d_%d_%d", i, j, 2));
+
+ if (!hist1)
+ continue;
+
+ TString tmpStr(hist1->GetTitle());
+ tmpStr.ReplaceAll(" - ", "#");
+ tokens = tmpStr.Tokenize("#");
+ TString str(tokens->At(0)->GetName());
+ TString str2(tokens->At(1)->GetName());
+
+ Prepare1DPlot(hist1);
+ Prepare1DPlot(hist2);
+ Prepare1DPlot(hist3);
+
+ // remove baseline
+ hist1->Fit("pol0", "0", "", 1, 4);
+ if (!hist1->GetFunction("pol0"))
+ continue;
+ hist1->GetFunction("pol0")->SetRange(-10, 10);
+ hist1->Add(hist1->GetFunction("pol0"), -1);
+
+ hist3->Fit("pol0", "0", "", 1, 4);
+ hist3->GetFunction("pol0")->SetRange(-10, 10);
+ hist3->Add(hist3->GetFunction("pol0"), -1);
+
+ Double_t yMin = 0.01;
+ Double_t yMax = -1;
+
+ if (yMax < 0)
+ {
+ yMin = TMath::Min(hist1->GetMinimum(), hist2->GetMinimum()) * 0.97;
+ yMax = TMath::Max(hist1->GetMaximum(), (hist2) ? hist2->GetMaximum() : 0.0) * 1.1;
+ }
+
+// yMin = hist1->GetMinimum() * 0.9;
+ yMax *= 1.5;
+
+ TH2F* dummy = new TH2F("dummy", "", 100, hist1->GetXaxis()->GetBinLowEdge(1), hist1->GetXaxis()->GetBinUpEdge(hist1->GetNbinsX()), 1000, yMin, yMax);
+ dummy->SetStats(kFALSE);
+ dummy->SetXTitle(hist1->GetXaxis()->GetTitle());
+ dummy->SetYTitle(hist1->GetYaxis()->GetTitle());
+ dummy->SetYTitle("1/N_{trig} dN/d#Delta#phi");
+ Prepare1DPlot(dummy);
+
+ dummy->GetYaxis()->SetTitleOffset(0.8);
+
+ dummy->GetXaxis()->SetLabelSize(0.08);
+ dummy->GetYaxis()->SetLabelSize(0.08);
+ dummy->GetXaxis()->SetTitleSize(0.08);
+ dummy->GetYaxis()->SetTitleSize(0.08);
+ /*
+ dummy->GetYaxis()->SetTitleOffset(0.8);
+ */
+
+ dummyTmp = dummy->DrawCopy();
+
+ // TODO plot yield? baseline problematic?
+
+ Float_t xPos = width1->GetN();
+ xPos = j*7+i;
+
+ FitDeltaPhiEtaGap(hist1, 1, width1, xPos, 0.7);
+ FitDeltaPhiEtaGap(hist2, 4, width2, xPos, 0.5);
+ FitDeltaPhiEtaGap(hist3, 2, width3, xPos, 0.6);
+
+ latex = new TLatex(0.3, 0.8, str);
+ latex->SetNDC();
+ latex->SetTextSize(0.06);
+ latex->Draw();
+
+ latex = new TLatex(0.3, 0.88, str2);
+ latex->SetNDC();
+ latex->SetTextSize(0.06);
+ latex->Draw();
+
+ DrawLatex(0.8, 0.9, 1, "0-5%");
+ DrawLatex(0.8, 0.85, 2, "60-90%");
+ DrawLatex(0.8, 0.8, 4, "pp");
+
+// return;
+// i = 10; j = 10;
+ }
+
+ new TCanvas;
+ width1->SetMarkerStyle(20);
+ width1->Draw("AP");
+
+ width2->SetMarkerStyle(24);
+ width2->SetMarkerColor(4);
+ width2->Draw("P SAME");
+
+ width3->SetMarkerStyle(25);
+ width3->SetMarkerColor(2);
+ width3->Draw("P SAME");
+}
+
+void CheckWing(const char* fileName)
+{
+ TFile::Open(fileName);
+
+ Int_t maxLeadingPt = 4;
+ Int_t maxAssocPt = 5;
+
+ TCanvas* canvas = new TCanvas("DeltaPhi", "DeltaPhi", 1000, 700);
+ canvas->Divide(maxAssocPt-1, maxLeadingPt);
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=1; j<maxAssocPt; j++)
+ {
+ canvas->cd(j + i * (maxAssocPt - 1));
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+// gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ hist1 = (TH1*) gFile->Get(Form("dphi_%d_%d_%d", i, j+1, 0));
+
+ if (!hist1)
+ continue;
+
+// hist1->Draw("COLZ");
+
+ Float_t width = 0.25;
+
+ proj = ((TH2*) hist1)->ProjectionY(Form("%s_projx", hist1->GetName()), hist1->GetXaxis()->FindBin(TMath::Pi() - width),hist1->GetXaxis()->FindBin(TMath::Pi() + width));
+
+ proj->GetXaxis()->SetRangeUser(-1.79, 1.79);
+ proj->SetStats(kFALSE);
+ proj->Draw();
+
+ proj2 = ((TH2*) hist1)->ProjectionY(Form("%s_proj2x", hist1->GetName()), hist1->GetXaxis()->FindBin(TMath::Pi() / 2 - width),hist1->GetXaxis()->FindBin(TMath::Pi() / 2 + width));
+
+ proj2->GetXaxis()->SetRangeUser(-1.79, 1.79);
+ proj2->SetLineColor(2);
+ proj2->Draw("SAME");
+
+ proj->SetMinimum(0.999 * proj2->GetMinimum());
+ }
+}
+
+void CheckWing()
+{
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 3;
+
+ TCanvas* canvas = new TCanvas("DeltaPhi", "DeltaPhi", 1000, 700);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+// const char* fileNames[] = { "dphi_corr_allpt_zcentral_01.root", "dphi_corr_allpt_01.root" };
+// const char* fileNames[] = { "dphi_corr_allpt_zcentral.root", "dphi_corr_allpt.root" };
+// const char* fileNames[] = { "dphi_corr_allpt_zcentral.root", "dphi_corr.root" };
+// const char* fileNames[] = { "dphi_corr_allpt_01_zcentral.root", "dphi_corr_allpt_01_zsumofratios.root" };
+// const char* fileNames[] = { "dphi_corr_allpt_cfct_01_zcentral.root", "dphi_corr_allpt_cfct_01_zsumofratios.root" };
+// const char* fileNames[] = { "dphi_corr_2d.root", "dphi_corr.root" };
+// const char* fileNames[] = { "dphi_corr_2d_01.root", "dphi_corr.root" };
+// const char* fileNames[] = { "dphi_corr_2d.root", "dphi_corr_2d_vtxzcentral.root" };
+// const char* fileNames[] = { "dphi_corr_2d_01.root", , "dphi_corr_2d_01centr_zvtxcentral.root" };
+// const char* fileNames[] = { "dphi_corr_10k.root", "dphi_corr_50k.root" };
+// const char* fileNames[] = { "wing1.root", "wing2.root" };
+ const char* fileNames[] = { "dphi_corr_2d_120112.root", "dphi_corr_2d_p2_111105.root" };
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ canvas->cd(j+1 + i * maxAssocPt);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+// gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ TH1* first = 0;
+ for (Int_t fileId = 0; fileId < 2; fileId++)
+ {
+ TFile::Open(fileNames[fileId]);
+
+ hist1 = (TH1*) gFile->Get(Form("dphi_%d_%d_%d", i, j, 3));
+
+ if (!hist1)
+ continue;
+
+ // hist1->Draw("COLZ");
+
+ Float_t width = 0.5;
+
+ for (Int_t areaId = 0; areaId < 3; areaId++)
+ {
+ Float_t center = TMath::Pi() / 2 * areaId;
+ proj = ((TH2*) hist1)->ProjectionY(Form("%s_%d_%d_projx", hist1->GetName(), fileId, areaId), hist1->GetXaxis()->FindBin(center - width), hist1->GetXaxis()->FindBin(center + width));
+ // proj->Rebin(2); proj->Scale(0.5);
+
+ proj->GetXaxis()->SetRangeUser(-1.79, 1.79);
+ proj->SetStats(kFALSE);
+ proj->SetLineColor(fileId + 1 + areaId * 2);
+ proj->Draw((fileId == 0 && areaId == 0) ? "" : "SAME");
+ if (!first)
+ first = proj;
+
+ proj->Scale(1. / 12);
+
+ first->SetMinimum(0.999 * TMath::Min(first->GetMinimum() / 0.999, proj->GetMinimum()));
+ first->SetMaximum(1.001 * TMath::Max(first->GetMaximum() / 1.001, proj->GetMaximum()));
+ }
+ }
+ }
+}
+/*
+void FitDeltaPhiEtaGap2D(TH2* hist, Bool_t scale, TVirtualPad* pad1, TVirtualPad* pad2, TVirtualPad* pad3, TGraphErrors* width1, TGraphErrors* width2, Float_t x, Float_t yPosChi2)
+{
+ Float_t etaLimit = 1.0;
+ Float_t outerLimit = 1.8;
+
+ TString histName(hist->GetName());
+
+ TH1D* etaGap = hist->ProjectionX(histName + "_1", TMath::Max(1, hist->GetYaxis()->FindBin(-outerLimit + 0.01)), hist->GetYaxis()->FindBin(-etaLimit - 0.01));
+ Int_t etaBins = hist->GetYaxis()->FindBin(-etaLimit - 0.01) - TMath::Max(1, hist->GetYaxis()->FindBin(-outerLimit + 0.01)) + 1;
+
+ TH1D* tracksTmp = hist->ProjectionX(histName + "_2", hist->GetYaxis()->FindBin(etaLimit + 0.01), TMath::Min(hist->GetYaxis()->GetNbins(), hist->GetYaxis()->FindBin(outerLimit - 0.01)));
+ etaBins += TMath::Min(hist->GetYaxis()->GetNbins(), hist->GetYaxis()->FindBin(outerLimit - 0.01)) - hist->GetYaxis()->FindBin(etaLimit + 0.01) + 1;
+
+ etaGap->Add(tracksTmp);
+
+ // get per bin result
+ etaGap->Scale(1.0 / etaBins);
+
+// new TCanvas; etaGap->DrawCopy();
+
+ histTmp2D = (TH2*) hist->Clone("histTmp2D");
+ histTmp2D->Reset();
+
+ for (Int_t xbin=1; xbin<=histTmp2D->GetNbinsX(); xbin++)
+ for (Int_t y=1; y<=histTmp2D->GetNbinsY(); y++)
+ histTmp2D->SetBinContent(xbin, y, etaGap->GetBinContent(xbin));
+
+ if (scale)
+ {
+ // mixed event does not reproduce away-side perfectly
+ // --> extract scaling factor on the away-side from ratios of eta gap and central region
+ TH1D* centralRegion = hist->ProjectionX(histName + "_3", hist->GetYaxis()->FindBin(-etaLimit + 0.01), hist->GetYaxis()->FindBin(etaLimit - 0.01));
+ etaBins = hist->GetYaxis()->FindBin(etaLimit - 0.01) - hist->GetYaxis()->FindBin(-etaLimit + 0.01) + 1;
+ centralRegion->Scale(1.0 / etaBins);
+
+// new TCanvas; centralRegion->DrawCopy(); etaGap->SetLineColor(2); etaGap->DrawCopy("SAME");
+ centralRegion->Divide(etaGap);
+// new TCanvas; centralRegion->Draw();
+ centralRegion->Fit("pol0", "0", "", TMath::Pi() - 1, TMath::Pi() + 1);
+ Float_t scalingFactor = centralRegion->GetFunction("pol0")->GetParameter(0);
+ Printf(" scalingFactor = %f", scalingFactor);
+ histTmp2D->Scale(scalingFactor);
+ }
+
+// new TCanvas; hist->DrawCopy("SURF1");
+
+ hist->Add(histTmp2D, -1);
+
+// new TCanvas; hist->DrawCopy("SURF1");
+
+ hist->GetYaxis()->SetRangeUser(-1.59, 1.59);
+
+ pad1->cd();
+ hist->SetStats(0);
+ hist->DrawCopy("SURF1");
+
+ Float_t min = hist->GetMinimum();
+ Float_t max = hist->GetMaximum();
+
+ // ranges are to exclude eta gap region from fit
+ func = new TF2("func", "[0]+[1]*exp(-0.5*((x/[2])**2+(y/[3])**2))", -5, 5, -1, 1);
+ func->SetParameters(0, 1, 0.3, 0.3);
+ func->SetParLimits(1, 0, 10);
+ func->SetParLimits(2, 0.1, 10);
+ func->SetParLimits(3, 0.1, 10);
+
+ hist->Fit(func, "0R", "");
+// hist->Fit(func, "IM", "SAME");
+
+ pad2->cd();
+ funcHist = (TH2*) hist->Clone("funcHist");
+ funcHist->Reset();
+ funcHist->Add(func);
+ funcHist->SetMinimum(min);
+ funcHist->SetMaximum(max);
+ funcHist->Draw("SURF1");
+
+ pad3->cd();
+ hist->Add(func, -1);
+ hist->SetMinimum(min);
+ hist->SetMaximum(max);
+ hist->DrawCopy("SURF1");
+
+ width1->SetPoint(width1->GetN(), x, TMath::Abs(func->GetParameter(2)));
+ width1->SetPointError(width1->GetN()-1, 0, func->GetParError(2));
+
+ width2->SetPoint(width2->GetN(), x, TMath::Abs(func->GetParameter(3)));
+ width2->SetPointError(width2->GetN()-1, 0, func->GetParError(3));
+
+ Float_t chi2 = 0;
+ Int_t ndf = 0;
+ for (Int_t i=hist->GetXaxis()->FindBin(-0.8); i<=hist->GetXaxis()->FindBin(0.8); i++)
+ for (Int_t j=hist->GetYaxis()->FindBin(-0.8); j<=hist->GetYaxis()->FindBin(0.8); j++)
+ {
+ if (hist->GetBinError(i, j) > 0)
+ {
+ chi2 += TMath::Power(hist->GetBinContent(i, j) / hist->GetBinError(i, j), 2);
+ ndf++;
+ }
+ }
+ ndf -= func->GetNumberFreeParameters();
+
+ printf("#chi^{2}/ndf = %.1f/%d = %.1f ", func->GetChisquare(), func->GetNDF(), func->GetChisquare() / func->GetNDF());
+ Printf("#chi^{2}/ndf = %.1f/%d = %.1f", chi2, ndf, chi2 / ndf);
+
+ DrawLatex(0.5, yPosChi2, 1, Form("#chi^{2}/ndf = %.1f/%d = %.1f", func->GetChisquare(), func->GetNDF(), func->GetChisquare() / func->GetNDF()));
+ DrawLatex(0.5, yPosChi2 - 0.05, 1, Form("#chi^{2}/ndf = %.1f/%d = %.1f", chi2, ndf, chi2 / ndf));
+}
+
+Double_t DeltaPhiWidth2DFitFunction(Double_t *x, Double_t *par)
+{
+ // params: 0: gaussian amplitude, 1: phi width, 2: eta width
+ // 3..bins+2 constants as fct of eta
+
+ Int_t etaBin = (Int_t) ((x[1] + 2.0) / 0.1);
+
+ return par[3+etaBin]+par[0]*TMath::Exp(-0.5*((x[0]/par[1])**2+(x[1]/par[2])**2));
+}
+
+void FitDeltaPhi2DOneFunction(TH2* hist, TVirtualPad* pad1, TVirtualPad* pad2, TVirtualPad* pad3, TGraphErrors* width1, TGraphErrors* width2, Float_t x, Float_t yPosChi2)
+{
+ Float_t outerLimit = 1.8;
+
+ hist->GetYaxis()->SetRangeUser(-1.59, 1.59);
+
+ pad1->cd();
+ hist->SetStats(0);
+ hist->DrawCopy("SURF1");
+
+ Float_t min = hist->GetMinimum();
+ Float_t max = hist->GetMaximum();
+
+ Int_t bins = hist->GetNbinsX();
+
+ // ranges are to exclude eta gap region from fit
+ func = new TF2("func", DeltaPhiWidth2DFitFunction, -5, 5, -outerLimit, outerLimit, bins+3);
+ func->SetParameters(1, 0.3, 0.3);
+ for (Int_t i=3; i<bins+3; i++)
+ func->SetParameter(i, 0);
+
+ func->SetParLimits(0, 0, 10);
+ func->SetParLimits(1, 0.1, 10);
+ func->SetParLimits(2, 0.1, 10);
+
+ hist->Fit(func, "0R", "");
+// hist->Fit(func, "IM", "SAME");
+
+ pad2->cd();
+ funcHist = (TH2*) hist->Clone("funcHist");
+ funcHist->Reset();
+ funcHist->Add(func);
+ funcHist->SetMinimum(min);
+ funcHist->SetMaximum(max);
+ funcHist->Draw("SURF1");
+
+ pad3->cd();
+ hist->Add(func, -1);
+ hist->SetMinimum(min);
+ hist->SetMaximum(max);
+ hist->DrawCopy("SURF1");
+
+ width1->SetPoint(width1->GetN(), x, TMath::Abs(func->GetParameter(1)));
+ width1->SetPointError(width1->GetN()-1, 0, func->GetParError(1));
+
+ width2->SetPoint(width2->GetN(), x, TMath::Abs(func->GetParameter(2)));
+ width2->SetPointError(width2->GetN()-1, 0, func->GetParError(2));
+
+ Float_t chi2 = 0;
+ Int_t ndf = 0;
+ for (Int_t i=hist->GetXaxis()->FindBin(-0.8); i<=hist->GetXaxis()->FindBin(0.8); i++)
+ for (Int_t j=hist->GetYaxis()->FindBin(-0.8); j<=hist->GetYaxis()->FindBin(0.8); j++)
+ {
+ if (hist->GetBinError(i, j) > 0)
+ {
+ chi2 += TMath::Power(hist->GetBinContent(i, j) / hist->GetBinError(i, j), 2);
+ ndf++;
+ }
+ }
+ ndf -= func->GetNumberFreeParameters();
+
+ printf("#chi^{2}/ndf = %.1f/%d = %.1f ", func->GetChisquare(), func->GetNDF(), func->GetChisquare() / func->GetNDF());
+ Printf("#chi^{2}/ndf = %.1f/%d = %.1f", chi2, ndf, chi2 / ndf);
+
+ DrawLatex(0.5, yPosChi2, 1, Form("#chi^{2}/ndf = %.1f/%d = %.1f", func->GetChisquare(), func->GetNDF(), func->GetChisquare() / func->GetNDF()));
+ DrawLatex(0.5, yPosChi2 - 0.05, 1, Form("#chi^{2}/ndf = %.1f/%d = %.1f", chi2, ndf, chi2 / ndf));
+}
+
+void AnalyzeDeltaPhiEtaGap2D(const char* fileName, Int_t method)
+{
+ TFile::Open(fileName);
+
+ Int_t maxLeadingPt = 5;
+ Int_t maxAssocPt = 6;
+
+ TGraphErrors* width1[4];
+ TGraphErrors* width2[4];
+
+ Int_t nHists = 4;
+ for (Int_t histId = 0; histId < nHists; histId++)
+ {
+ width1[histId] = new TGraphErrors;
+ width2[histId] = new TGraphErrors;
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ {
+ TCanvas* canvas = new TCanvas(Form("DeltaPhi_%d_%d", histId, i), Form("DeltaPhi_%d_%d", histId, i), 1000, 1000);
+ canvas->Divide(3, maxAssocPt);
+
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ for (Int_t k=1; k<=3; k++)
+ {
+ canvas->cd(3 * j + k);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+ }
+
+// if (i != 1 || j != 2)
+// continue;
+
+ hist1 = (TH1*) gFile->Get(Form("dphi_%d_%d_%d", i, j, histId));
+ if (!hist1)
+ continue;
+
+ Float_t xPos = j*8+i;
+
+ if (method == 0)
+ FitDeltaPhiEtaGap2D((TH2*) hist1, kFALSE, canvas->cd(3 * j + 1), canvas->cd(3 * j + 2), canvas->cd(3 * j + 3), width1[histId], width2[histId], xPos, 0.9);
+ else
+ FitDeltaPhi2DOneFunction((TH2*) hist1, canvas->cd(3 * j + 1), canvas->cd(3 * j + 2), canvas->cd(3 * j + 3), width1[histId], width2[histId], xPos, 0.9);
+
+ break;
+ }
+
+ break;
+ }
+
+ break;
+ }
+
+ return;
+
+ Int_t marker[] = { 20, 24, 25, 26 };
+ Int_t colors[] = { 2, 2, 4, 6 };
+ const char* labels[] = { "0-5%", "60-90%", "pp", "30-40%" };
+
+ Bool_t found = kTRUE;
+ c1 = (TCanvas*) gROOT->GetListOfCanvases()->FindObject("width_phi");
+ if (!c1)
+ {
+ c1 = new TCanvas("width_phi", "width_phi", 800, 600);
+ colors[0] = 1;
+ found = kFALSE;
+ }
+ c1->cd();
+
+ for (Int_t histId = 0; histId < nHists; histId++)
+ {
+ width1[histId]->SetMarkerStyle(marker[histId]);
+ width1[histId]->SetMarkerColor(colors[histId]);
+ width1[histId]->Draw((histId == 0 && !found) ? "AP" : "PSAME");
+ DrawLatex(0.7, 0.8 - 0.05 * histId, colors[histId], labels[histId]);
+ }
+
+ found = kTRUE;
+ c1 = (TCanvas*) gROOT->GetListOfCanvases()->FindObject("width_eta");
+ if (!c1)
+ {
+ c1 = new TCanvas("width_eta", "width_eta", 800, 600);
+ colors[0] = 1;
+ found = kFALSE;
+ }
+ c1->cd();
+ for (Int_t histId = 0; histId < nHists; histId++)
+ {
+ width2[histId]->SetMarkerStyle(marker[histId]);
+ width2[histId]->SetMarkerColor(colors[histId]);
+ width2[histId]->Draw((histId == 0 && !found) ? "AP" : "PSAME");
+ DrawLatex(0.7, 0.8 - 0.05 * histId, colors[histId], labels[histId]);
+ }
+}
+*/
+
+void RemoveWing(const char* fileName, const char* outputFile)
+{
+ // remove wing by flattening using the ratio of a flat line to the corr fct at phi = pi/2 +- 0.25 as fct of delta eta
+
+ file = TFile::Open(fileName);
+ file2 = TFile::Open(outputFile, "RECREATE");
+ file2->Close();
+
+ Int_t maxLeadingPt = 10;
+ Int_t maxAssocPt = 11;
+
+ Int_t nHists = 6;
+ for (Int_t histId = 0; histId < nHists; histId++)
+ {
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ {
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ hist = (TH2*) file->Get(Form("dphi_%d_%d_%d", i, j, histId));
+ if (!hist)
+ continue;
+
+ Float_t width = 1.5;
+ TH1* proj = hist->ProjectionY(Form("projx", hist->GetName()), hist->GetXaxis()->FindBin(TMath::Pi() - width), hist->GetXaxis()->FindBin(TMath::Pi()+ width));
+ proj->Fit("pol0", "0");
+ //new TCanvas; proj->DrawCopy();
+ proj->Divide(proj->GetFunction("pol0"));
+ //new TCanvas; proj->DrawCopy();
+ //new TCanvas; hist->DrawCopy("SURF1");
+ for (Int_t x=1; x<=hist->GetNbinsX(); x++)
+ for (Int_t y=1; y<=hist->GetNbinsY(); y++)
+ {
+ if (proj->GetBinContent(y) <= 0)
+ continue;
+ hist->SetBinContent(x, y, hist->GetBinContent(x, y) / proj->GetBinContent(y));
+ hist->SetBinError(x, y, hist->GetBinError(x, y) / proj->GetBinContent(y));
+ }
+ //new TCanvas; hist->DrawCopy("SURF1");
+
+ file2 = TFile::Open(outputFile, "UPDATE");
+ hist->Write();
+ file2->Close();
+ }
+ }
+ }
+}
+
+void RemoveWingAllSpecies()
+{
+ const char* suffix[] = { "Hadrons", "Pions", "Kaons", "Protons" };
+ TString baseName = "dphi_corr_LHC13bc_20130604_";
+
+ for (Int_t i=0; i<4; i++)
+ RemoveWing(baseName + suffix[i] + ".root", baseName + suffix[i] + "_wingremoved.root");
+}
+
+void PlotPtDistributions(const char* fileName1, Int_t centrBegin = 1, Int_t centrEnd = 2)
+{
+ loadlibs();
+
+ Int_t maxLeadingPt = 3;
+ Float_t leadingPtArr[] = { 1.0, 10.0, 20.0, 40.0 };
+
+ Int_t nCentralityBins = 5;
+ Int_t centralityBins[] = { 1, 7, 9, 11, 13, 16 };
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1);
+
+ TCanvas* canvas = new TCanvas("Pt", "Pt", 1000, 1000);
+ canvas->Divide(2, maxLeadingPt+2);
+
+ TLegend* legend = new TLegend(0.2, 0.2, 0.95, 0.90);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.08);
+
+ TLegend* legendB = new TLegend(0.2, 0.2, 0.95, 0.90);
+ legendB->SetFillColor(0);
+ legendB->SetTextSize(0.08);
+
+ TLegend* legend2 = new TLegend(0.2, 0.2, 0.95, 0.90);
+ legend2->SetFillColor(0);
+ legend2->SetTextSize(0.08);
+
+ Int_t colors[] = { 1, 2, 4, 6 };
+ Int_t markers[] = { 20, 21, 22, 23, 24, 25 };
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ {
+ Double_t ptMin = leadingPtArr[i] + 0.01;
+ //Double_t ptMax = leadingPtArr[i+1] - 0.01;
+ Double_t ptMax = 39.99;
+
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", ptMin - 0.01, ptMax + 0.01);
+
+ canvas->cd(2*i+1+2);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+ gPad->SetLogy();
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ TH2F* dummy = new TH2F("dummy", "", 100, 1, 40, 100, 1e-5, 1e3);
+ dummy->SetStats(kFALSE);
+ dummy->SetXTitle("p_{T,assoc}");
+ dummy->SetYTitle("");
+ dummy->GetYaxis()->SetTitleOffset(1);
+ Prepare1DPlot(dummy);
+
+ dummy->GetXaxis()->SetLabelSize(0.06);
+ dummy->GetYaxis()->SetLabelSize(0.06);
+ dummy->GetXaxis()->SetTitleSize(0.06);
+ dummy->GetYaxis()->SetTitleSize(0.06);
+ dummy->DrawCopy();
+
+ Float_t phiRange[] = { 0, TMath::Pi() / 2, TMath::Pi() };
+ const char* phiLabels[] = { "Towards", "Transverse", "Away" };
+
+ for (Int_t j=0; j<3; j++)
+ {
+ TH1* centralEta = 0;
+ TH1* sideEta1 = 0;
+
+ if (j == 0)
+ {
+ centralEta = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[j] - TMath::Pi() / 4, phiRange[j] + TMath::Pi() / 4, -0.69, 0.69);
+ sideEta1 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[j] - TMath::Pi() / 4, phiRange[j] + TMath::Pi() / 4, -1.39, -0.71);
+ TH1* sideEta2 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[j] - TMath::Pi() / 4, phiRange[j] + TMath::Pi() / 4, 0.71, 1.39);
+ sideEta1->Add(sideEta2); // TODO can be done smarter? what about the errors?
+
+ Prepare1DPlot(sideEta1);
+ Prepare1DPlot(centralEta);
+
+ centralEta->SetLineColor(colors[j]);
+ sideEta1->SetLineColor(colors[j+1]);
+
+ if (i == 0)
+ {
+ legend->AddEntry(centralEta->Clone(), Form("Jet, %s: |#eta| < 0.7, #phi ~ %.1f", phiLabels[j], phiRange[j]));
+ legend->AddEntry(sideEta1->Clone(), Form("Ridge, %s: 0.7 < |#eta| < 1.4, #phi ~ %.1f", phiLabels[j], phiRange[j]));
+ }
+ }
+ else
+ {
+ centralEta = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[j] - TMath::Pi() / 4, phiRange[j] + TMath::Pi() / 4, -1.39, 1.39);
+ centralEta->Scale(0.5);
+ centralEta->SetLineColor(colors[j+1]);
+
+ Prepare1DPlot(centralEta);
+
+ if (i == 0)
+ legend->AddEntry(centralEta->Clone(), Form("%s: |#eta| < 1.4, #phi ~ %.1f", phiLabels[j], phiRange[j]));
+ }
+
+ canvas->cd(2*i+1+2);
+ centralEta->DrawCopy("SAME");
+ if (sideEta1)
+ sideEta1->DrawCopy("SAME");
+
+ centralEta->SetLineColor(colors[i]);
+ centralEta->Scale(100.0 / centralEta->Integral());
+ if (sideEta1)
+ {
+ sideEta1->SetLineColor(colors[i]);
+ sideEta1->Scale(100.0 / sideEta1->Integral());
+ }
+
+ if (j < 2)
+ canvas->cd(j*4+4);
+ else
+ canvas->cd(j*4+2);
+ if (i == 0)
+ {
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ dummy->DrawCopy();
+
+ gPad->SetLogy();
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ TString str3;
+ if (j == 0)
+ str3.Form("Jet, %s: |#eta| < 0.7, #phi ~ %.1f", phiLabels[j], phiRange[j]);
+ else
+ str3.Form("%s: |#eta| < 1.4, #phi ~ %.1f", phiLabels[j], phiRange[j]);
+ latex = new TLatex(0.2, 0.3, str3);
+ latex->SetNDC();
+ latex->SetTextSize(0.08);
+ latex->Draw();
+ }
+
+ if (j == 0)
+ legend2->AddEntry(centralEta->Clone(), str);
+
+ centralEta->DrawCopy("SAME");
+
+ if (sideEta1)
+ {
+ canvas->cd(j*4+4+2);
+ if (i == 0)
+ {
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ dummy->DrawCopy();
+
+ gPad->SetLogy();
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ TString str3;
+ if (j == 0)
+ str3.Form("Ridge, %s: 0.7 < |#eta| < 1.4, #phi ~ %.1f", phiLabels[j], phiRange[j]);
+ else
+ str3.Form("%s: |#eta| < 1.4, #phi ~ %.1f", phiLabels[j], phiRange[j]);
+ latex = new TLatex(0.2, 0.3, str3);
+ latex->SetNDC();
+ latex->SetTextSize(0.08);
+ latex->Draw();
+ }
+
+ sideEta1->DrawCopy("SAME");
+ }
+ }
+
+ TString str3;
+ str3.Form("%d-%d%%", (Int_t) h->GetCentralityDistribution()->GetXaxis()->GetBinLowEdge(centrBegin), (Int_t) h->GetCentralityDistribution()->GetXaxis()->GetBinUpEdge(centrEnd));
+ latex = new TLatex(0.2, 0.3, str3);
+ latex->SetNDC();
+ latex->SetTextSize(0.08);
+
+ latex2 = new TLatex(0.55, 0.8, str);
+ latex2->SetNDC();
+ latex2->SetTextSize(0.06);
+
+ canvas->cd(2*i+1+2);
+ latex->Draw();
+ latex2->Draw();
+
+ //break;
+ }
+
+ canvas->cd(1);
+ legend->Draw();
+
+ canvas->cd(2);
+ legend2->Draw();
+}
+
+TH1* GetNonSubtractedRHICYield(Int_t ptT, Int_t ptA, Int_t centrality)
+{
+ rhicFile = TFile::Open("rhic/postcorr_AuAu_iter6_ppg106final.root");
+
+ corrFunc = (TH1*) rhicFile->Get(Form("pi0hdphi_%d_%d_%d_2", ptT, ptA, centrality));
+ //corrFunc->Draw();
+
+ // integral
+ corrFunc->Scale(1.0 / corrFunc->Integral());
+ // bin width
+ corrFunc->Scale(TMath::TwoPi() / corrFunc->GetBinWidth(1));
+
+ same = (TH1*) rhicFile->Get(Form("pi0hdphi_%d_%d_%d_0", ptT, ptA, centrality));
+ Float_t nPairs = same->Integral();
+
+ triggers = (TH1*) rhicFile->Get(Form("pi0pt_%d_%d", ptT, centrality));
+ Float_t nTrigs = triggers->Integral();
+
+ graph = (TGraph*) rhicFile->Get(Form("gS_%d_%d", ptT, centrality));
+
+ Printf("%f %f %f %f", nPairs, nTrigs, nPairs / nTrigs, graph->GetY()[ptA]);
+
+ corrFunc->Scale(nPairs / nTrigs);
+
+ //corrFunc->Add(new TF1("func", "1", -5, 5), -1. / 3 * (corrFunc->GetBinContent(corrFunc->FindBin(1.5)) + corrFunc->GetBinContent(corrFunc->FindBin(1.2)) + corrFunc->GetBinContent(corrFunc->FindBin(1.0))));
+
+ Float_t values[3];
+ Float_t errors[3];
+
+ Float_t regionBegin[3] = { -TMath::Pi() / 2, TMath::Pi() / 2 - 0.4, 1.5 * TMath::Pi() - 0.4 };
+ Float_t regionEnd[3] = { -TMath::Pi() / 2 + 0.4, TMath::Pi() / 2 + 0.4, 1.5 * TMath::Pi() };
+
+ // weighted mean
+ Float_t sum = 0;
+ Float_t weight = 0;
+ for (Int_t i=0; i<3; i++)
+ {
+ corrFunc->Fit("pol0", "0Q", "", regionBegin[i], regionEnd[i]);
+ func = corrFunc->GetFunction("pol0");
+ if (!func)
+ continue;
+ sum += func->GetParameter(0) / func->GetParError(0) / func->GetParError(0);
+ weight += 1. / func->GetParError(0) / func->GetParError(0);
+ }
+
+ if (weight == 0)
+ return 0;
+
+ sum /= weight;
+ weight = TMath::Sqrt(1. / weight);
+
+ corrFunc->Add(new TF1("func", "1", -5, 5), -sum);
+
+ return corrFunc;
+
+ new TCanvas;
+ corrFunc->Draw();
+ compHist = (TH1*) rhicFile->Get(Form("ptyMSMP_0_%d%d%d", ptT, ptA, centrality));
+ compHist->DrawCopy("SAME");
+
+ //compHist->Add((TF1*) compHist->GetListOfFunctions()->First());
+ //compHist->DrawCopy("SAME");
+}
+
+void DeltaPhiVsRHIC(Int_t rhicCentrality = 0, Int_t aliceCentrality = 0, Bool_t reduced = kFALSE)
+{
+ aliceFile = TFile::Open("alice_dphi_corr_rhicbinning.root");
+ rhicFile = TFile::Open("rhic/postcorr_AuAu_iter6_ppg106final.root");
+
+ Int_t maxLeadingPt = 4;
+ Int_t maxAssocPt = 5;
+
+ if (reduced)
+ {
+ Int_t maxSelected = 4;
+ Int_t selectedLead[] = { 0, 0, 2, 2 };
+ Int_t selectedAssoc[] = { 1, 2, 3, 4 };
+
+ maxLeadingPt = TMath::Sqrt(maxSelected);
+ maxAssocPt = TMath::Sqrt(maxSelected);
+ }
+
+ TCanvas* canvas = new TCanvas("DeltaPhi", "DeltaPhi", 1000, 700);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ Printf("%d %d", i, j);
+
+ canvas->cd(j+1 + i * maxAssocPt);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ //gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ Int_t iSel = i;
+ Int_t jSel = j;
+
+ if (reduced)
+ {
+ iSel = selectedLead[j + i * maxAssocPt];
+ jSel = selectedAssoc[j + i * maxAssocPt];
+ }
+
+ //rhic = (TH1*) rhicFile->Get(Form("VptyMSMP_0_%d%d%d", iSel, jSel, rhicCentrality));
+ rhic = GetNonSubtractedRHICYield(iSel, jSel, rhicCentrality);
+ if (!rhic)
+ continue;
+ rhic->SetLineColor(2);
+ rhic->SetMarkerStyle(1);
+
+ alice = (TH1*) aliceFile->Get(Form("dphi_%d_%d_%d_fit_flat", iSel, jSel, aliceCentrality));
+ if (!alice)
+ continue;
+
+ // match near side yield
+ if (1)
+ {
+ Float_t factor = 0.5 * alice->Integral(alice->FindBin(-0.1), alice->FindBin(0.1)) / rhic->Integral(rhic->FindBin(-0.1), rhic->FindBin(0.1));
+
+ Printf("%f", factor);
+ rhic->Scale(factor);
+ }
+
+ alice->SetLineColor(1);
+
+ //alice->Rebin(36); rhic->Rebin(30);
+
+ clone = alice->DrawCopy("");
+ rhic->DrawCopy("SAME");
+
+ //Printf("chi2 test: chi2/ndf = %f", alice->Chi2Test(rhic, "WW CHI2/NDF"));
+ Float_t chi2 = 0;
+ Float_t n = 0;
+ for (Int_t k=1; k<=rhic->GetNbinsX(); k++)
+ {
+ chi2 += TMath::Power(rhic->GetBinContent(k) - alice->Interpolate(rhic->GetBinCenter(k)), 2) / (TMath::Power(rhic->GetBinError(k), 2) + TMath::Power(alice->GetBinError(alice->FindBin(rhic->GetBinCenter(k))), 2));
+ n++;
+ }
+
+ chi2 /= n;
+ Printf("chi2 test: chi2/ndf = %f", chi2);
+
+ clone->GetYaxis()->SetRangeUser(TMath::Min(alice->GetMinimum(), rhic->GetMinimum()) * 1.1, TMath::Max(alice->GetMaximum(), rhic->GetMaximum()) * 1.1);
+
+ for (Int_t bin=1; bin<=rhic->GetNbinsX(); bin++)
+ {
+ Double_t aliceValue = alice->GetBinContent(alice->FindBin(rhic->GetXaxis()->GetBinCenter(bin)));
+ if (aliceValue == 0)
+ continue;
+ rhic->SetBinContent(bin, rhic->GetBinContent(bin) / aliceValue);
+ rhic->SetBinError(bin, 0);
+ }
+
+ rhic->Rebin(2);
+ rhic->Scale(0.5);
+
+ rhic->SetLineColor(3);
+ //rhic->DrawCopy("SAME");
+
+ //return;
+ }
+
+ canvas->SaveAs("yield_comparison.png");
+}
+
+void DeltaPhi(const char* fileName, const char* fileName2 = 0, Bool_t reduced = kFALSE, Bool_t ppComparison = kFALSE, Int_t mode = 0, const char* dataTag = "", const char* histName = "_fit_flat")
+{
+ // DeltaPhi("high_stat_binning_pp7_pt8.root", "high_stat_binning_pp7_pythia_pt8.root", 0, 1, 0, "pp 7 TeV uncorrected")
+ // DeltaPhi("high_stat_binning_pp900_pt8.root", "high_stat_binning_pp900_pythia_pt8.root", 0, 1, 0, "pp 0.9 TeV uncorrected")
+
+ style(2);
+
+ aliceFile = TFile::Open(fileName);
+ if (fileName2)
+ secondFile = TFile::Open(fileName2);
+
+ if (1)
+ {
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 3;
+ }
+ else
+ {
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 7;
+ }
+
+ if (reduced)
+ {
+ Int_t maxSelected = 4;
+ Int_t selectedLead[] = { 1, 1, 1, 1 };
+ Int_t selectedAssoc[] = { 2, 3, 4, 5 };
+
+ maxLeadingPt = TMath::Sqrt(maxSelected);
+ maxAssocPt = TMath::Sqrt(maxSelected);
+ }
+
+ factorGraph = new TGraphErrors;
+
+// TCanvas* canvas = new TCanvas(Form("%s_%s", fileName, fileName2 ? fileName2 : ""), Form("%s_%s", fileName, fileName2 ? fileName2 : ""), 600, 900);
+ TCanvas* canvas = new TCanvas(Form("%s_%s", fileName, fileName2 ? fileName2 : ""), Form("%s_%s", fileName, fileName2 ? fileName2 : ""), 1000, 1000);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ TH1* first = 0;
+ TH1* peripheral = 0;
+ for (Int_t aliceCentrality=0; aliceCentrality<4; aliceCentrality++)
+ {
+ Printf("%d %d %d", i, j, aliceCentrality);
+
+ if (aliceCentrality == 1)
+ continue;
+
+ canvas->cd(j+1 + i * maxAssocPt);
+
+ Int_t iSel = i;
+ Int_t jSel = j;
+ Int_t centralitySel = aliceCentrality;
+ currentFile = aliceFile;
+
+ if (reduced)
+ {
+ iSel = selectedLead[j + i * maxAssocPt];
+ jSel = selectedAssoc[j + i * maxAssocPt];
+ }
+
+ if (fileName2)
+ {
+ if (ppComparison)
+ {
+ centralitySel = 3;
+ if (aliceCentrality == 1)
+ currentFile = secondFile;
+ else if (aliceCentrality == 2)
+ break;
+ }
+ else
+ if (aliceCentrality == 3)
+ currentFile = secondFile;
+ }
+
+ //alice = (TH1*) currentFile->Get(Form("dphi_%d_%d_%d%s", iSel, jSel, centralitySel, (centralitySel < 3) ? "_tsallis_flat" : ((flatOrTsallis) ? "" : "_fit_flat")));
+ alice = (TH1*) currentFile->Get(Form("dphi_%d_%d_%d%s", iSel, jSel, centralitySel, histName));
+ if (!alice)
+ continue;
+
+ if (0)
+ {
+ Printf("WARNING: Applying some scaling and rebinning! Only for 2.76 data-MC comparison!");
+ if (aliceCentrality == 0)
+ {
+ alice->Rebin(2); alice->Scale(0.5);
+ alice->Scale(1.0 / 1.6);
+ }
+// else
+// alice->Scale(1.6);
+ }
+
+ alice->Rebin(2); alice->Scale(0.5);
+// alice->Scale(1.0 / 1.6);
+
+ // match near side yield to peripheral
+ if (1 && centralitySel == 3 && peripheral)
+ {
+ if (mode == 0 || mode == 1)
+ {
+ Double_t width = 0.5;
+ Double_t error1, error2;
+ Double_t integral1 = peripheral->IntegralAndError(peripheral->FindBin(-width), peripheral->FindBin(width), error1);
+ Double_t integral2 = alice->IntegralAndError(alice->FindBin(-width), alice->FindBin(width), error2);
+ if (mode == 1)
+ {
+ Double_t tmpErr = 0;
+ integral1 += peripheral->IntegralAndError(peripheral->FindBin(TMath::Pi() - width), peripheral->FindBin(TMath::Pi() + width), tmpErr);
+ error1 = TMath::Sqrt(error1 * error1 + tmpErr * tmpErr);
+
+ integral2 += alice->IntegralAndError(alice->FindBin(TMath::Pi() - width), alice->FindBin(TMath::Pi() + width), tmpErr);
+ error2 = TMath::Sqrt(error2 * error2 + tmpErr * tmpErr);
+ }
+ }
+ else if (mode == 2)
+ {
+ Double_t error1, error2;
+ Double_t integral1 = peripheral->IntegralAndError(1, peripheral->GetNbinsX(), error1);
+ Double_t integral2 = alice->IntegralAndError(1, alice->GetNbinsX(), error2);
+ }
+ else if (mode == 3)
+ {
+ Double_t width = 1.0;
+ Double_t error1, error2;
+ Double_t integral1 = peripheral->IntegralAndError(peripheral->FindBin(TMath::Pi() - width), peripheral->FindBin(TMath::Pi() + width), error1);
+ Double_t integral2 = alice->IntegralAndError(alice->FindBin(TMath::Pi() - width), alice->FindBin(TMath::Pi() + width), error2);
+ }
+
+ Double_t factor = integral1 / integral2;
+
+ //factor = 0.804 * 0.9;
+ Printf("%f", factor);
+// alice->Scale(factor);
+ factorGraph->SetPoint(factorGraph->GetN(), factorGraph->GetN(), factor);
+ factorGraph->SetPointError(factorGraph->GetN() - 1, 0, factor * TMath::Sqrt(TMath::Power(error1 / integral1, 2) + TMath::Power(error2 / integral2, 2)));
+ }
+
+ if (ppComparison && aliceCentrality == 0)
+ peripheral = alice;
+ else if (aliceCentrality == 2)
+ peripheral = alice;
+
+// alice->SetYTitle("1/(N_{trig} #Delta#eta) dN_{assoc}/d#Delta#phi (1/rad)");
+ alice->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#phi (1/rad)");
+ alice->SetXTitle("#Delta#phi (rad)");
+ alice->SetLineColor(aliceCentrality+1);
+ alice->SetLineWidth(2);
+ alice->SetMarkerColor(aliceCentrality+1);
+ alice->GetYaxis()->SetTitleOffset(1.7);
+ clone = alice->DrawCopy((aliceCentrality > 0) ? "SAME" : "");
+ clone->SetTitle("");
+
+ TString str(alice->GetTitle());
+ str.ReplaceAll(" - ", "#");
+ tokens = str.Tokenize("#");
+
+ if (aliceCentrality == 0)
+ {
+ for (Int_t k=0; k<2; k++)
+ {
+ TString str(tokens->At(k)->GetName());
+ str.ReplaceAll(".0", "");
+ str.ReplaceAll("< p", "GeV/c < p");
+ str += " GeV/c";
+ latex = new TLatex(0.48, 0.92-k*0.06, str);
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+ }
+
+ }
+
+ if (!first)
+ first = clone;
+ else
+ first->GetYaxis()->SetRangeUser(TMath::Min(first->GetMinimum(), clone->GetMinimum()), TMath::Max(first->GetMaximum(), clone->GetMaximum()));
+
+
+
+ //return;
+ }
+ if (first)
+ //first->GetYaxis()->SetRangeUser(first->GetMinimum(), first->GetMaximum() * 1.2);
+ first->GetYaxis()->SetRangeUser(first->GetMinimum(), first->GetMaximum() * 1.5);
+ }
+
+ if (0)
+ {
+ for (Int_t i=1; i<=6; i++)
+ {
+ canvas->cd(i);
+
+ latex = new TLatex(0.58, 0.8, "ALICE preliminary");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.58, 0.74, Form("%s", dataTag));
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.58, 0.68, "Stat. uncertainties only");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.58, 0.62, "|#eta| < 0.8");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ if (ppComparison)
+ {
+ legend = new TLegend(0.3, 0.8, 0.47, 0.95);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.04);
+ legend->AddEntry(peripheral, "Data");
+ legend->AddEntry(alice, "Pythia");
+ legend->Draw();
+ }
+
+ DrawALICELogo(0.75, 0.47, 0.95, 0.6);
+ }
+ }
+
+ canvas->SaveAs(Form("%s.eps", canvas->GetName()));
+ canvas->SaveAs(Form("%s.png", canvas->GetName()));
+
+ new TCanvas;
+ peripheral->Divide(alice);
+ peripheral->DrawCopy();
+ //alice->DrawCopy("SAME");
+
+
+ graphCanvas = (TCanvas*) gROOT->GetListOfCanvases()->FindObject("graphCanvas");
+ factorGraph->SetMarkerStyle(20);
+ if (!graphCanvas)
+ {
+ graphCanvas = new TCanvas("graphCanvas", "graphCanvas", 800, 600);
+ factorGraph->Draw("AP");
+ }
+ else
+ {
+ graphCanvas->cd();
+ factorGraph->SetLineColor(2);
+ factorGraph->SetMarkerColor(2);
+ factorGraph->Draw("SAMEP");
+ }
+ factorGraph->GetYaxis()->SetRangeUser(0.6, 1.4);
+
+ factorGraph->Print();
+}
+
+void ComparePPYields(const char* histName = "_fit_flat")
+{
+ const char* files[] = { "high_stat_binning_pp900_pt8.root", "high_stat_binning_pp900_pythia_pt8.root", "high_stat_binning_pp276_pythia_pt8.root", "high_stat_binning_pp7_pythia_pt8.root", "high_stat_binning_pp7_pt8.root" };
+ const char* titles[] = { "0.9 data", "0.9 Pythia", "2.76 Pythia", "7 Pythia", "7 data" };
+
+ Int_t colors[] = { 1, 2, 3, 4, 6 };
+
+ Int_t maxLeadingPt = 3;
+ Int_t maxAssocPt = 2;
+
+ TCanvas* canvas = new TCanvas("ComparePPYields", "ComparePPYields", 600, 900);
+ canvas->Divide(maxAssocPt, maxLeadingPt);
+
+ legend = new TLegend(0.5, 0.5, 0.8, 0.8);
+ legend->SetFillColor(0);
+
+ TGraphErrors** graphs = new TGraphErrors*[5];
+ TGraphErrors** graphs2 = new TGraphErrors*[5];
+
+ for (Int_t nFiles = 0; nFiles < 5; nFiles++)
+ {
+ graphs[nFiles] = new TGraphErrors;
+ graphs2[nFiles] = new TGraphErrors;
+ }
+
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ canvas->cd(j+1 + i * maxAssocPt);
+ gPad->SetLeftMargin(0.18);
+ gPad->SetBottomMargin(0.1);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ TH1* first = 0;
+
+ for (Int_t nFiles = 0; nFiles < 5; nFiles++)
+ {
+ currentFile = TFile::Open(files[nFiles]);
+
+ Int_t aliceCentrality = 3;
+
+ Printf("%d %d %d", i, j, nFiles);
+
+ alice = (TH1*) currentFile->Get(Form("dphi_%d_%d_%d%s", i, j, aliceCentrality, histName));
+ if (!alice)
+ continue;
+
+ alice->SetYTitle("1/N_{trig} dN/dp_{T,assoc}");
+ alice->SetLineColor(colors[nFiles]);
+ alice->SetMarkerColor(colors[nFiles]);
+ alice->GetYaxis()->SetTitleOffset(1.7);
+ clone = alice->DrawCopy((nFiles > 0) ? "SAME" : "");
+ clone->SetTitle("");
+
+ Double_t width = 0.7;
+ Double_t error, error2;
+ Double_t integral = alice->IntegralAndError(alice->FindBin(-width), alice->FindBin(width), error);
+ Double_t integral2 = alice->IntegralAndError(alice->FindBin(TMath::Pi() - width), alice->FindBin(TMath::Pi() + width), error2);
+
+ graphs[nFiles]->SetPoint(graphs[nFiles]->GetN(), j + i * maxAssocPt - 0.2, integral);
+ graphs[nFiles]->SetPointError(graphs[nFiles]->GetN()-1, 0, error);
+
+ graphs2[nFiles]->SetPoint(graphs2[nFiles]->GetN(), j + i * maxAssocPt + 0.2, integral2);
+ graphs2[nFiles]->SetPointError(graphs2[nFiles]->GetN()-1, 0, error2);
+
+ if (!first)
+ first = clone;
+ else
+ first->GetYaxis()->SetRangeUser(TMath::Min(first->GetMinimum(), clone->GetMinimum()), TMath::Max(first->GetMaximum(), clone->GetMaximum()));
+
+ if (nFiles == 0)
+ {
+ TString str(alice->GetTitle());
+ str.ReplaceAll(" - ", "#");
+ tokens = str.Tokenize("#");
+
+ for (Int_t k=0; k<2; k++)
+ {
+ latex = new TLatex(0.6, 0.88-k*0.07, tokens->At(k)->GetName());
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+ }
+ }
+
+ if (i == 0 && j == 0)
+ legend->AddEntry(clone, titles[nFiles]);
+ }
+ if (first)
+ first->GetYaxis()->SetRangeUser(first->GetMinimum(), first->GetMaximum() * 1.1);
+ }
+
+ canvas->cd(1);
+
+ legend->Draw();
+
+ new TCanvas;
+ for (Int_t nFiles = 0; nFiles < 5; nFiles++)
+ {
+ graphs[nFiles]->SetMarkerStyle(25);
+ graphs[nFiles]->SetLineColor(colors[nFiles]);
+ graphs[nFiles]->SetMarkerColor(colors[nFiles]);
+ clone2 = (TGraphErrors*) graphs[nFiles]->DrawClone((nFiles == 0) ? "AP" : "PSAME");
+ clone2->GetYaxis()->SetRangeUser(0, 5);
+
+ graphs2[nFiles]->SetMarkerStyle(26);
+ graphs2[nFiles]->SetLineColor(colors[nFiles]);
+ graphs2[nFiles]->SetMarkerColor(colors[nFiles]);
+ graphs2[nFiles]->DrawClone("PSAME");
+ }
+
+ new TCanvas;
+ for (Int_t nFiles = 0; nFiles < 5; nFiles++)
+ {
+ DivideGraphs(graphs[nFiles], graphs[4]);
+ DivideGraphs(graphs2[nFiles], graphs2[4]);
+
+ graphs[nFiles]->SetMarkerStyle(25);
+ graphs[nFiles]->SetLineColor(colors[nFiles]);
+ graphs[nFiles]->SetMarkerColor(colors[nFiles]);
+ clone2 = (TGraphErrors*) graphs[nFiles]->DrawClone((nFiles == 0) ? "AP" : "PSAME");
+ clone2->GetYaxis()->SetRangeUser(0, 1.5);
+
+ graphs2[nFiles]->SetMarkerStyle(26);
+ graphs2[nFiles]->SetLineColor(colors[nFiles]);
+ graphs2[nFiles]->SetMarkerColor(colors[nFiles]);
+ graphs2[nFiles]->DrawClone("PSAME");
+ }
+}
+
+void DeltaPhiPreliminary(const char* fileName, const char* histName)
+{
+ style(2);
+
+ currentFile = TFile::Open(fileName);
+
+ TCanvas* canvas = new TCanvas(Form("dphi%s", histName), "dphi", 800, 800);
+ canvas->Divide(2, 2);
+
+ TLegend* legend = new TLegend(0.55, 0.47, 0.85, 0.65);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.04);
+
+ Int_t colors[] = { 1, 2, 4, 6 };
+
+ Int_t pad = 1;
+ for (Int_t i=1; i<2; i++)
+ for (Int_t j=2; j<6; j++)
+ {
+ canvas->cd(pad++);
+
+ for (Int_t aliceCentrality=0; aliceCentrality<3; aliceCentrality+=2)
+ {
+ Printf("%d %d %d", i, j, aliceCentrality);
+
+ hist = (TH1*) currentFile->Get(Form("dphi_%d_%d_%d%s", i, j, aliceCentrality, histName));
+ if (!hist)
+ continue;
+
+ if (aliceCentrality == 3)
+ hist->Scale(kPythiaScalingFactor);
+
+ hist->GetYaxis()->SetTitleOffset(1.9);
+ hist->SetLineColor(colors[aliceCentrality]);
+ hist->SetMarkerColor(colors[aliceCentrality]);
+ hist->SetLineWidth(2);
+ hist->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#phi");
+ hist->SetXTitle("#Delta#phi (rad)");
+
+ clone = hist->DrawCopy((aliceCentrality > 0) ? "SAME" : "");
+ clone->SetTitle("");
+
+ TString str(hist->GetTitle());
+ str.ReplaceAll(" - ", "#");
+ tokens = str.Tokenize("#");
+ hist->SetTitle("");
+
+ if (aliceCentrality == 0)
+ {
+ for (Int_t k=0; k<2; k++)
+ {
+ TString str(tokens->At(k)->GetName());
+ str.ReplaceAll(".0", "");
+ str.ReplaceAll("< p", "GeV/c < p");
+ str += " GeV/c";
+
+ latex = new TLatex(0.5, 0.88-k*0.06, str);
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+ }
+
+ latex = new TLatex(0.5, 0.76, "ALICE preliminary");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.70, "Stat. uncertainties only");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ clone->GetYaxis()->SetRangeUser(0, clone->GetMaximum() * 1.2);
+ }
+
+ if (pad == 2)
+ {
+ if (aliceCentrality == 3)
+ legend->AddEntry(hist, "Pythia");
+ else
+ legend->AddEntry(hist, tokens->At(2)->GetName());
+ }
+
+ legend->Draw();
+
+ }
+ }
+
+ canvas->cd(3);
+
+ canvas->SaveAs(Form("%s.eps", canvas->GetName()));
+ canvas->SaveAs(Form("%s.png", canvas->GetName()));
+}
+
+void DeltaPhiBaseLinePreliminary(const char* fileName)
+{
+ style(2);
+
+ loadlibs();
+
+ Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 15.0 };
+ Float_t assocPtArr[] = { 0.5, 1.5, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Int_t i = 1;
+ Int_t j = 3;
+ Int_t step = 0;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+ SetupRanges(h);
+
+ TString str;
+ str.Form("%.0f GeV/c < p_{T,trig} < %.0f GeV/c", leadingPtArr[i], leadingPtArr[i+2]);
+
+ TString str2;
+ str2.Form("%.0f GeV/c < p_{T,assoc} < %.0f GeV/c", gpTMin - 0.01, gpTMax + 0.01);
+
+ Float_t v2[3];
+ TH1* hist1 = 0;
+ TH1* hist2b = 0;
+
+ GetDistAndFlow(h, 0, &hist1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01);
+ GetDistAndFlow(h, 0, &hist2b, v2+2, step, 60, 90, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01);
+
+ hist1->SetLineWidth(2);
+ hist2b->SetLineWidth(2);
+
+ canvas = new TCanvas("dphi_baseline", "dphi_baseline", 1200, 1200);
+ canvas->Divide(2, 2);
+
+ canvas->cd(1);
+// gPad->SetLeftMargin(0.20);
+
+ hist1->GetYaxis()->SetTitleOffset(1.9);
+ hist1->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#phi");
+ hist1->SetXTitle("#Delta#phi (rad)");
+ hist1->SetTitle("");
+ hist1->DrawCopy()->GetYaxis()->SetRangeUser(0, 0.59);
+
+ DrawFlow(v2[0], (TH1*) hist1->Clone(), leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex = new TLatex(0.5, 0.78, "0-5%");
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ if (1)
+ {
+ canvas->cd(2);
+ // gPad->SetLeftMargin(0.20);
+
+ hist1->DrawCopy()->GetYaxis()->SetRangeUser(0.18, 0.295);
+ DrawFlow(v2[0], hist1, leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex->Draw();
+
+ canvas->cd(3);
+ // gPad->SetLeftMargin(0.20);
+
+ hist2b->GetYaxis()->SetTitleOffset(1.9);
+ hist2b->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#phi");
+ hist2b->SetXTitle("#Delta#phi (rad)");
+ hist2b->SetTitle("");
+ hist2b->DrawCopy();
+
+ DrawFlow(v2[2], (TH1*) hist2b->Clone(), leadingPtArr[i], assocPtArr[j], 0, i, 2, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex = new TLatex(0.5, 0.78, "60-90%");
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ canvas->cd(4);
+ // gPad->SetLeftMargin(0.20);
+
+ hist2b->DrawCopy()->GetYaxis()->SetRangeUser(0.01, 0.13);
+ DrawFlow(v2[2], hist2b, leadingPtArr[i], assocPtArr[j], 0, i, 2, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex->Draw();
+ }
+
+ for (Int_t i=1; i<=4; i++)
+ {
+ canvas->cd(i);
+
+ latex = new TLatex(0.5, 0.84, str);
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.90, str2);
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.72, "ALICE preliminary");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.66, "Stat. uncertainties only");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+ }
+
+ canvas->SaveAs(Form("%s.eps", canvas->GetName()));
+ canvas->SaveAs(Form("%s.png", canvas->GetName()));
+}
+
+/*
+void DeltaPhiBaseLinePaperPlot(const char* fileName, const char* yieldFile)
+{
+ style(2);
+
+ Float_t fontSize = 0.08;
+ Float_t titleOffset = 0.85;
+
+ gStyle->SetTextSize(fontSize);
+ gStyle->SetLabelSize(fontSize, "xy");
+ gStyle->SetTitleSize(fontSize, "xy");
+ gStyle->SetTitleOffset(titleOffset, "y");
+ gStyle->SetHistLineWidth(2);
+ gROOT->ForceStyle();
+
+ loadlibs();
+
+ Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 15.0 };
+ Float_t assocPtArr[] = { 0.5, 1.5, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Int_t i = 1;
+ Int_t j = 3;
+ Int_t step = 0;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+ SetupRanges(h);
+
+ TString str;
+ str.Form("%.0f GeV/#font[12]{c} < p_{t,trig} < %.0f GeV/#font[12]{c}", leadingPtArr[i], leadingPtArr[i+2]);
+
+ TString str2;
+ str2.Form("%.0f GeV/#font[12]{c} < p_{t,assoc} < %.0f GeV/#font[12]{c}", gpTMin - 0.01, gpTMax + 0.01);
+
+ Float_t v2[3];
+ TH1* hist1 = 0;
+ TH1* hist2b = 0;
+
+ GetDistAndFlow(h, 0, &hist1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01);
+
+ hist1->SetLineWidth(2);
+
+ canvas = new TCanvas("dphi_baseline", "dphi_baseline", 600, 840);
+ canvas->Range(0, 0, 1, 1);
+
+ pad1 = new TPad("pad1", "pad1", 0, 0.69, 1, 1);
+ pad1->Draw();
+
+ pad2 = new TPad("pad2", "pad2", 0, 0.38, 1, 0.69);
+ pad2->Draw();
+
+ pad3 = new TPad("pad3", "pad3", 0, 0 , 1, 0.38);
+ pad3->Draw();
+
+ pad1->cd();
+ gPad->SetMargin(0.15, 0.02, 0, 0.01);
+
+// hist1->GetYaxis()->SetTitleOffset(0.85);
+ hist1->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#varphi");
+ hist1->SetXTitle("#Delta#varphi (rad)");
+ hist1->SetTitle("");
+
+ hist1->SetLabelSize(fontSize * 0.38 / 0.31, "xy");
+ hist1->SetTitleSize(fontSize * 0.38 / 0.31, "xy");
+ hist1->SetTitleOffset(titleOffset / 0.38 * 0.31, "y");
+
+ hist1->DrawCopy(); //->GetYaxis()->SetRangeUser(0, 0.59);
+
+ //DrawFlow(v2[0], (TH1*) hist1->Clone(), leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ pad2->cd();
+ gPad->SetMargin(0.15, 0.02, 0, 0);
+
+ hist1->DrawCopy()->GetYaxis()->SetRangeUser(0.381, 0.457);
+ DrawFlow(v2[0], hist1, leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ pad3->cd();
+ gPad->SetMargin(0.15, 0.02, 0.2, 0);
+
+ // get zero subtracted plots
+ TFile::Open(yieldFile);
+ hist1sub = (TH1*) gFile->Get(Form("dphi_%d_%d_%d_fit_flat", i, j, 0));
+ hist1sub->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#varphi");
+ hist1sub->SetXTitle("#Delta#varphi (rad)");
+ hist1sub->SetTitle("");
+ hist1sub->DrawCopy();
+
+ hist2sub = (TH1*) gFile->Get(Form("dphi_%d_%d_%d_fit_flat", i, j, 2));
+ hist2sub->SetMarkerStyle(24);
+ hist2sub->SetLineColor(2);
+ hist2sub->SetMarkerColor(2);
+// hist2sub->SetMarkerSize(0.8);
+ hist2sub->DrawCopy("SAMEP E X0");
+
+ hist3sub = (TH1*) gFile->Get(Form("dphi_%d_%d_%d_fit_flat", i, j, 3));
+ hist3sub->SetMarkerStyle(25);
+ hist3sub->SetLineColor(4);
+ hist3sub->SetMarkerColor(4);
+// hist3sub->SetMarkerSize(0.8);
+ hist3sub->DrawCopy("SAMEP E X0");
+
+ legend = new TLegend(0.4, 0.55, 0.9, 0.9);
+ legend->SetFillColor(0);
+ legend->SetBorderSize(0);
+ legend->SetTextSize(0.08);
+ legend->AddEntry(hist1sub, "Pb-Pb 0-5% centrality", "L");
+ legend->AddEntry(hist2sub, "Pb-Pb 60-90% centrality", "P");
+ legend->AddEntry(hist3sub, "pp", "P");
+ legend->Draw();
+
+ pad1->cd();
+
+ latex = new TLatex(0.47, 0.85, str);
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.47, 0.73, str2);
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.42, "0-5% centrality");
+ latex->SetNDC();
+// latex->Draw();
+
+ latex = new TLatex(0.45, 0.62, "Stat. uncertainties only");
+ latex->SetNDC();
+// latex->Draw();
+
+ canvas->SaveAs(Form("%s.eps", canvas->GetName()));
+ canvas->SaveAs(Form("%s.png", canvas->GetName()));
+}
+*/
+
+void DeltaPhiBaseLinePaperPlot(const char* fileName, const char* yieldFile)
+{
+ style(2);
+
+ Float_t fontSize = 0.08;
+ Float_t titleOffset = 0.85;
+
+ gStyle->SetTextSize(fontSize);
+ gStyle->SetLabelSize(fontSize, "xy");
+ gStyle->SetTitleSize(fontSize, "xy");
+ gStyle->SetTitleOffset(titleOffset, "y");
+ gStyle->SetHistLineWidth(2);
+ gROOT->ForceStyle();
+
+ loadlibs();
+
+ Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 15.0 };
+ Float_t assocPtArr[] = { 0.5, 1.5, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Int_t i = 1;
+ Int_t j = 3;
+ Int_t step = 0;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+ SetupRanges(h);
+
+ TString str;
+ str.Form("%.0f < #font[12]{p}_{T,trig} < %.0f GeV/#font[12]{c}", leadingPtArr[i], leadingPtArr[i+2]);
+
+ TString str2;
+ str2.Form("%.0f < #font[12]{p}_{T,assoc} < %.0f GeV/#font[12]{c}", gpTMin - 0.01, gpTMax + 0.01);
+
+ Float_t v2[3];
+ TH1* hist1 = 0;
+ TH1* hist2b = 0;
+
+ GetDistAndFlow(h, 0, &hist1, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01);
+
+ hist1->SetLineWidth(2);
+
+ canvas = new TCanvas("dphi_baseline", "dphi_baseline", 600, 840);
+ canvas->Range(0, 0, 1, 1);
+
+ pad1 = new TPad("pad1", "pad1", 0, 0.69, 1, 1);
+ pad1->Draw();
+
+ pad2 = new TPad("pad2", "pad2", 0, 0.38, 1, 0.69);
+ pad2->Draw();
+
+ pad3 = new TPad("pad3", "pad3", 0, 0 , 1, 0.38);
+ pad3->Draw();
+
+ pad1->cd();
+ gPad->SetMargin(0.15, 0.02, 0, 0.01);
+
+// hist1->GetYaxis()->SetTitleOffset(0.85);
+ hist1->SetYTitle("");
+ hist1->SetXTitle("#Delta#font[12]{#varphi} (rad)");
+ hist1->SetTitle("");
+
+ hist1->SetLabelSize(fontSize * 0.38 / 0.31, "xy");
+ hist1->SetTitleSize(fontSize * 0.38 / 0.31, "xy");
+ hist1->SetTitleOffset(titleOffset / 0.38 * 0.31, "y");
+
+ hist1->DrawCopy("HISTE"); //->GetYaxis()->SetRangeUser(0, 0.59);
+
+ //DrawFlow(v2[0], (TH1*) hist1->Clone(), leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ pad2->cd();
+ gPad->SetMargin(0.15, 0.02, 0, 0);
+
+ hist1->SetYTitle("1/#font[12]{N}_{trig} d#font[12]{N}_{assoc}/d#Delta#font[12]{#varphi} (rad^{-1})");
+ hist1->DrawCopy("HISTE")->GetYaxis()->SetRangeUser(0.381, 0.457);
+ DrawFlow(v2[0], hist1, leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ pad3->cd();
+ gPad->SetMargin(0.15, 0.02, 0.2, 0);
+
+ // get zero subtracted plots
+ TFile::Open(yieldFile);
+
+ hist1sub = (TH1*) gFile->Get(Form("dphi_%d_%d_%d_fit_flat", i, j, 0));
+ hist1sub->SetYTitle("");
+ hist1sub->SetXTitle("#Delta#varphi (rad)");
+ hist1sub->SetTitle("");
+// hist1sub->SetMarkerStyle(25);
+// hist1sub->SetLineColor(4);
+// hist1sub->SetMarkerColor(4);
+ hist1sub->SetMaximum(0.79);
+ hist1sub->DrawCopy("HIST E");
+
+ hist3sub = (TH1*) gFile->Get(Form("dphi_%d_%d_%d_fit_flat", i, j, 3));
+// hist3sub->SetFillColor(4);
+// hist3sub->SetFillStyle(3354);
+// hist3sub->SetLineWidth(0);
+// hist3sub->SetLineColor(0);
+ hist3sub->SetMarkerStyle(25);
+ hist3sub->SetLineColor(4);
+ hist3sub->SetMarkerColor(4);
+ hist3sub->DrawCopy("SAME E X0");
+
+ hist1sub->DrawCopy("SAME HIST E");
+
+ hist2sub = (TH1*) gFile->Get(Form("dphi_%d_%d_%d_fit_flat", i, j, 2));
+ hist2sub->SetMarkerStyle(24);
+ hist2sub->SetLineColor(2);
+ hist2sub->SetMarkerColor(2);
+ hist2sub->DrawCopy("SAMEP E X0");
+
+ legend = new TLegend(0.4, 0.45, 0.9, 0.8);
+ legend->SetFillColor(0);
+ legend->SetBorderSize(0);
+ legend->SetTextSize(fontSize);
+ legend->AddEntry(hist1sub, "Pb-Pb 0-5% centrality", "L");
+ legend->AddEntry(hist2sub, "Pb-Pb 60-90% centrality", "P");
+ legend->AddEntry(hist3sub, "pp", "P");
+ legend->Draw();
+
+ pad1->cd();
+
+ latex = new TLatex(0.59, 0.70, str);
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.59, 0.58, str2);
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.59, 0.46, "#sqrt{#font[12]{s}_{NN}} = 2.76 TeV");
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.43, 0.90, "a) not background subtracted");
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.42, "0-5% centrality");
+ latex->SetNDC();
+// latex->Draw();
+
+ latex = new TLatex(0.45, 0.62, "Stat. uncertainties only");
+ latex->SetNDC();
+// latex->Draw();
+
+ pad2->cd();
+
+ latex = new TLatex(0.43, 0.90, "b) zoomed");
+ latex->SetTextSize(fontSize * 0.38 / 0.31);
+ latex->SetNDC();
+ latex->Draw();
+
+ pad3->cd();
+
+ latex = new TLatex(0.43, 0.90, "c) background subtracted");
+ latex->SetNDC();
+ latex->Draw();
+
+
+ canvas->SaveAs(Form("%s.eps", canvas->GetName()));
+ canvas->SaveAs(Form("%s.png", canvas->GetName()));
+}
+
+
+void DeltaPhiRidgePreliminary(const char* fileName)
+{
+ style();
+
+ loadlibs();
+
+ Float_t leadingPtArr[] = { 2.0, 2.0, 3.0, 4.0, 10.0, 20.0, 40.0 };
+ Float_t assocPtArr[] = { 1.0, 2.0, 3.0, 6.0, 10.0, 20.0, 40.0 };
+// Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 15.0 };
+// Float_t assocPtArr[] = { 0.5, 1.5, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, 0, kFALSE);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+// Int_t i = 1;
+// Int_t j = 3;
+ Int_t i = 0;
+ Int_t j = 0;
+ Int_t step = 6;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", leadingPtArr[i], leadingPtArr[i+2]);
+
+ TString str2;
+ str2.Form("%.1f < p_{T,assoc} < %.1f", gpTMin - 0.01, gpTMax + 0.01);
+
+ Float_t v2[3];
+ TH1* hist1 = 0;
+ TH1* hist2b = 0;
+ TH1* hist1Peak = 0;
+ TH1* hist2bPeak = 0;
+ TH1* hist1Ridge = 0;
+ TH1* hist2bRidge = 0;
+
+ TH1* hist2d = 0;
+ TH1* hist2dMixed = 0;
+
+// GetDistAndFlow(h, 0, &hist2d, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01, 1);
+// GetDistAndFlow(hMixed, 0, &hist2dMixed, v2, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01, 1);
+// new TCanvas;
+// //hist2d->Divide(hist2dMixed);
+// hist2dMixed->Draw("SURF1");
+
+ GetDistAndFlow(h, hMixed, &hist1, 0, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01);
+// GetDistAndFlow(h, 0, &hist2b, v2[2], step, 60, 90, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01);
+ GetDistAndFlow(h, hMixed, &hist1Peak, 0, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01, 10);
+
+ GetDistAndFlow(h, hMixed, &hist1Ridge, 0, step, 0, 5, leadingPtArr[i] + 0.01, leadingPtArr[i+2] - 0.01, 11);
+
+ // TODO normalize
+
+ canvas = new TCanvas("dphi_baseline", "dphi_baseline", 800, 800);
+ canvas->Divide(2, 2);
+
+ canvas->cd(1);
+ gPad->SetLeftMargin(0.20);
+
+ hist1->GetYaxis()->SetTitleOffset(1.9);
+ hist1->SetYTitle("1/N_{trig} dN/dp_{T,assoc}");
+ hist1->SetTitle("");
+ hist1->DrawCopy();
+
+ hist1Peak->SetLineColor(2);
+ hist1Peak->DrawCopy("SAME");
+
+ hist1Ridge->SetLineColor(4);
+ hist1Ridge->DrawCopy("SAME");
+
+// hist1Peak->Add(hist1Ridge);
+// hist1Peak->DrawCopy("SAME")->SetLineColor(3);
+
+ return;
+
+ DrawFlow(v2[0], (TH1*) hist1->Clone(), leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex = new TLatex(0.65, 0.84, str);
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ latex = new TLatex(0.65, 0.90, str2);
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ latex = new TLatex(0.84, 0.78, "0-5%");
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ canvas->cd(2);
+ gPad->SetLeftMargin(0.20);
+
+ hist1->DrawCopy()->GetYaxis()->SetRangeUser(0.18, 0.28);
+ DrawFlow(v2[0], hist1, leadingPtArr[i], assocPtArr[j], 0, i, 0, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.90, "ALICE preliminary");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ latex = new TLatex(0.5, 0.84, "Statistical uncertainties only");
+ latex->SetTextSize(0.04);
+ latex->SetNDC();
+ latex->Draw();
+
+ canvas->cd(3);
+ gPad->SetLeftMargin(0.20);
+
+ hist2b->GetYaxis()->SetTitleOffset(1.9);
+ hist2b->SetYTitle("1/N_{trig} dN/dp_{T,assoc}");
+ hist2b->SetTitle("");
+ hist2b->DrawCopy();
+
+ DrawFlow(v2[2], (TH1*) hist2b->Clone(), leadingPtArr[i], assocPtArr[j], 0, i, 2, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex = new TLatex(0.84, 0.78, "60-90%");
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+
+ canvas->cd(4);
+ gPad->SetLeftMargin(0.20);
+
+ hist2b->DrawCopy()->GetYaxis()->SetRangeUser(0.01, 0.1);
+ DrawFlow(v2[2], hist2b, leadingPtArr[i], assocPtArr[j], 0, i, 2, 0, (assocPtArr[j] + assocPtArr[j+1]) / 2, (assocPtArr[j+1] - assocPtArr[j]) / 2);
+
+ latex->Draw();
+
+ canvas->SaveAs(Form("%s.eps", canvas->GetName()));
+ canvas->SaveAs(Form("%s.png", canvas->GetName()));
+}
+
+void MCScalingFactor(Int_t caseId)
+{
+ // 900 GeV
+ // x[5]=5, y[5]=0.813743, ex[5]=0, ey[5]=0.158446
+ // x[5]=5, y[5]=1.09804, ex[5]=0, ey[5]=0.265434
+ // 7 TeV
+ // x[5]=5, y[5]=1.02276, ex[5]=0, ey[5]=0.0199991
+ // x[5]=5, y[5]=0.870247, ex[5]=0, ey[5]=0.0294444
+
+ Float_t factors[] = { 0.814, 1.098, 1.022, 0.870 };
+ Float_t errors[] = { 0.158, 0.265, 0.020, 0.029 };
+
+ Float_t avgs[2];
+
+ for (Int_t i=0; i<2; i++)
+ {
+ switch (caseId)
+ {
+ case 0:
+ avgs[i] = factors[2*i] / errors[2*i] / errors[2*i] + factors[2*i+1] / errors[2*i+1] / errors[2*i+1];
+ avgs[i] /= 1. / errors[2*i] / errors[2*i] + 1. / errors[2*i+1] / errors[2*i+1];
+ break;
+
+ case 1:
+ avgs[i] = factors[2*i];
+ break;
+
+ case 2:
+ avgs[i] = factors[2*i+1];
+ break;
+
+ case 3:
+ avgs[0] = factors[0];
+ avgs[1] = factors[3];
+ break;
+
+ case 4:
+ avgs[0] = factors[1];
+ avgs[1] = factors[2];
+ break;
+ }
+ }
+
+ Float_t a = avgs[0];
+ Float_t b = avgs[1];
+
+ Printf("%f %f", a, b);
+
+ Float_t linEx = a + (b-a)/(7.-0.9) * (2.76-0.9);
+ Float_t logEx = a + (b-a)/(log(7.)-log(0.9)) * (log(2.76)-log(0.9));
+
+ Printf("%f %f", linEx, logEx);
+}
+
+void CompareDeltaPhi(const char* fileName1, const char* fileName2, Int_t centralityID, const char* dist = "_fit_flat", Bool_t reduced = kFALSE)
+{
+ firstFile = TFile::Open(fileName1);
+ secondFile = TFile::Open(fileName2);
+
+ Int_t maxLeadingPt = 2;
+ Int_t maxAssocPt = 7;
+ Int_t minLeadingPt = 0;
+ Int_t minAssocPt = 0;
+
+ if (reduced)
+ {
+ maxLeadingPt = 2;
+ maxAssocPt = 5;
+ minLeadingPt = 1;
+ minAssocPt = 2;
+ }
+
+ TCanvas* canvas = new TCanvas(Form("%s %s", fileName1, fileName2 ? fileName2 : ""), Form("%s %s", fileName1, fileName2 ? fileName2 : ""), 1000, 700);
+ canvas->Divide(maxAssocPt-minAssocPt, maxLeadingPt-minLeadingPt);
+
+ for (Int_t i=minLeadingPt; i<maxLeadingPt; i++)
+ for (Int_t j=minAssocPt; j<maxAssocPt; j++)
+ {
+ Printf("%d %d", i, j);
+
+ canvas->cd(j+1-minAssocPt + (i-minLeadingPt) * maxAssocPt);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ //gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+
+ hist1 = (TH1*) firstFile->Get(Form("dphi_%d_%d_%d%s", i, j, centralityID, dist));
+ hist2 = (TH1*) secondFile->Get(Form("dphi_%d_%d_%d%s", i, j, centralityID, dist));
+
+ if (!hist1)
+ continue;
+
+/* hist1->Rebin(2); hist1->Scale(0.5);
+ hist2->Rebin(2); hist2->Scale(0.5); */
+// hist1->Scale(1.6);
+
+ hist1->SetLineColor(1);
+ hist2->SetLineColor(2);
+
+ hist1->DrawCopy()->GetYaxis()->SetRangeUser(hist1->GetMinimum(), hist1->GetMaximum() * 1.2);
+ hist2->DrawCopy("SAME");
+
+/* if (strlen(dist) == 0)
+ Printf("chi2 test: %f", hist1->Chi2Test(hist2, "UU NORM CHI2/NDF"));*/
+
+ //DrawRatio(hist1, hist2, hist1->GetTitle());
+
+ //return;
+ }
+}
+
+TH1* MACHCone(const char* fileName, Int_t centrality, const char* drawingOption, Bool_t plotContributions, Int_t twoD, TF1** flowFuncP = 0)
+{
+ if (0)
+ {
+ TFile::Open("machcone_input.root");
+
+ switch (centrality)
+ {
+ case 0:
+ hist = (TH1*) gFile->Get("dphi_0_0_0");
+ break;
+
+ case 1:
+ hist = (TH1*) gFile->Get("dphi_1_1_0");
+ break;
+
+ case 2:
+ hist = (TH1*) gFile->Get("dphi_0_0_2");
+ break;
+
+ case 3:
+ hist = (TH1*) gFile->Get("dphi_1_1_2");
+ break;
+ }
+ }
+ else
+ {
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 10.0, 20.0, 40.0 };
+ Float_t assocPtArr[] = { 1.0, 2.0, 3.0, 6.0, 10.0, 20.0, 40.0 };
+// Float_t assocPtArr[] = { 2.0, 3.0, 6.0, 10.0, 20.0, 40.0 };
+
+ Int_t i = centrality % 2;
+ Int_t step = 6;
+
+ Int_t j = 0;
+
+ gpTMin = assocPtArr[i] + 0.01;
+ gpTMax = assocPtArr[i+1] - 0.01;
+
+ Int_t centralityBegin = 0;
+ Int_t centralityEnd = 1;
+
+ if (centrality >= 2)
+ {
+ centralityBegin = 30;
+ centralityEnd = 40;
+ }
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist = 0;
+ Float_t vn[5];
+ vn[0] = 0;
+ vn[1] = 0;
+ vn[2] = 0;
+ vn[3] = 0;
+ vn[4] = 0;
+
+ Bool_t scaleToPairs = 0;
+
+ GetDistAndFlow(h, hMixed, &hist, 0, step, centralityBegin, centralityEnd, leadingPtArr[j] + 0.01, leadingPtArr[j+1] - 0.01, twoD, kTRUE, vn, scaleToPairs);
+ if (scaleToPairs && twoD == 11)
+ hist->Scale(2);
+
+ Printf("%f %f %f", vn[2], vn[3], vn[4]);
+
+ // mirror delta phi to improve stats
+ if (1)
+ {
+ for (Int_t bin=1; bin<=hist->GetNbinsX(); bin++)
+ {
+ if (hist->GetBinCenter(bin) < 0 || hist->GetBinCenter(bin) > TMath::Pi())
+ {
+ if (hist->GetBinCenter(bin) < 0)
+ Int_t bin2 = hist->FindBin(-1.0 * hist->GetBinCenter(bin));
+ else
+ Int_t bin2 = hist->FindBin(TMath::TwoPi() - hist->GetBinCenter(bin));
+
+ Float_t combValue = hist->GetBinContent(bin) / hist->GetBinError(bin) / hist->GetBinError(bin) + hist->GetBinContent(bin2) / hist->GetBinError(bin2) / hist->GetBinError(bin2);
+
+ Float_t weight = 1. / hist->GetBinError(bin) / hist->GetBinError(bin) + 1. / hist->GetBinError(bin2) / hist->GetBinError(bin2);
+ combValue /= weight;
+
+ Float_t combError = TMath::Sqrt(1.0 / weight);
+
+ hist->SetBinContent(bin2, combValue);
+ hist->SetBinError(bin2, combError);
+
+ hist->SetBinContent(bin, combValue);
+ hist->SetBinError(bin, combError);
+
+ Printf("%d %d %f %f", bin, bin2, combValue, combError);
+ }
+ }
+ }
+ }
+
+ TString str(hist->GetTitle());
+ str.ReplaceAll(" - ", "#");
+ tokens = str.Tokenize("#");
+ hist->SetTitle("");
+
+ hist->SetLineColor(1);
+ hist->SetYTitle("1/N_{trig} dN_{assoc}/d#Delta#phi");
+ hist->SetXTitle("#Delta#phi (rad)");
+ hist = (TH1*) hist->Clone();
+ if (!drawingOption)
+ return hist;
+
+ hist = hist->DrawCopy(drawingOption);
+
+ for (Int_t i=0; i<tokens->GetEntries()-1; i++)
+ {
+ if (centrality == 1)
+ latex = new TLatex(0.6, 0.9 - i*0.05 - gPad->GetTopMargin(), tokens->At(i)->GetName());
+ else
+ latex = new TLatex(0.6, 0.12 - i*0.05, tokens->At(i)->GetName());
+
+ latex->SetNDC();
+ latex->SetTextSize(0.04);
+ latex->Draw();
+ }
+
+ TF1* flowFunc = new TF1("flowFunc", "[0] * (1+2*[1]*cos(2*x)+2*[2]*cos(3*x)+2*[3]*cos(4*x)+2*[4]*cos(5*x))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ //flowFunc->SetLineWidth(1);
+ flowFunc->SetLineColor(2);
+ flowFunc->SetLineStyle(2);
+ for (Int_t i=0; i<4; i++)
+ flowFunc->FixParameter(i+1, vn[i+1]);
+ //flowFunc->SetParameter(0, 84.95); flowFunc->DrawClone("SAME");
+
+ //flowFunc->SetParameter(0, 85.4); flowFunc->DrawClone("SAME");
+ //flowFunc->SetParameter(0, 85.6); flowFunc->DrawClone("SAME");
+
+// hist->Fit(flowFunc, "", "SAME", 1.8, 4.5);
+ hist->Fit(flowFunc, "N", "", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ hist->GetYaxis()->SetRangeUser(hist->GetMinimum() * 0.95, hist->GetMaximum() * 1.05);
+ flowFunc->SetRange(-0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ flowFunc->Draw("SAME");
+
+ if (flowFuncP)
+ *flowFuncP = flowFunc;
+
+ //hist->GetYaxis()->SetRangeUser(84, 89);
+ //flowFunc->SetParameter(4, 1);
+
+ Float_t chi2 = 0;
+ Int_t n=0;
+ for (Int_t bin=hist->FindBin(1.8); bin<=hist->FindBin(4.5); bin++)
+ {
+ chi2 += TMath::Power((hist->GetBinContent(bin) - flowFunc->Eval(hist->GetBinCenter(bin))) / hist->GetBinError(bin), 2);
+ n++;
+ //Printf("%f", TMath::Power((hist->GetBinContent(bin) - flowFunc->Eval(hist->GetBinCenter(bin))) / hist->GetBinError(bin), 2));
+ }
+
+ chi2 /= n;
+
+ Printf("chi2/ndf = %f", chi2);
+
+ if (!plotContributions)
+ return hist;
+
+ for (Int_t n=1; n<=5; n++)
+ {
+ flowFuncPart = new TF1("flowFuncPart", "[0] * (1+2*[1]*cos([2]*x))", -0.5 * TMath::Pi(), 1.5 * TMath::Pi());
+ flowFuncPart->SetParameters(flowFunc->GetParameter(0), vn[n-1], n);
+ flowFuncPart->SetLineWidth(1);
+ flowFuncPart->SetLineStyle(n);
+ flowFuncPart->Draw("SAME");
+ }
+
+ return hist;
+}
+
+void MACHConeAll(const char* fileName)
+{
+ loadlibs();
+
+ SetFlowStyle();
+
+ c = new TCanvas("c", "c", 300, 800);
+ c->SetTopMargin(0);
+ c->SetLeftMargin(0);
+ c->SetRightMargin(0);
+ c->SetBottomMargin(0);
+ c->Divide(1, 2, 0, 0);
+
+ Float_t rangesMin[] = { 136.1, 17.45, 18, 2.4 };
+ Float_t rangesMax[] = { 139.4, 18.95, 23.5, 3.6 };
+
+ for (Int_t i=0; i<2; i++)
+ {
+ c->cd(i+1);
+
+ gPad->SetRightMargin(0.05);
+ gPad->SetLeftMargin(0.20);
+ gPad->SetTopMargin(0.15);
+ gPad->SetBottomMargin(0.15);
+
+ if (i == 0)
+ {
+ gPad->SetBottomMargin(0.01);
+ }
+ else if (i == 1)
+ {
+ gPad->SetTopMargin(0.01);
+ gPad->SetBottomMargin(0.7);
+ }
+ }
+
+ Int_t i = 0;
+
+ TF1* flowFunc = 0;
+
+ c->cd(i+1);
+// hist = MACHCone(fileName, i, "", kTRUE, 0, &flowFunc);
+ hist = (TH1*) MACHCone(fileName, i, 0, kFALSE, 0)->Clone("hist");
+ hist->GetYaxis()->SetRangeUser(rangesMin[i], rangesMax[i]);
+ hist->GetYaxis()->SetTitleOffset(1.7);
+ hist->Draw();
+// continue;
+
+ c->cd(i+1);
+ //c->cd(i+2);
+// hist2 = MACHCone(fileName, i, 0, kFALSE, 11);
+ hist2 = MACHCone(fileName, i, "SAME", kTRUE, 11, &flowFunc);
+ //hist2->GetYaxis()->SetRangeUser(rangesMin[i], rangesMax[i]);
+// hist2->Scale(2);
+ hist2->SetLineColor(4);
+ //hist2->Draw("SAME");
+// return;
+
+ // sample flowFunc with same binning
+ flowFuncHist = (TH1*) hist->Clone("flowFuncHist");
+ flowFuncHist->Reset();
+
+ for (Int_t i=1; i<=flowFuncHist->GetNbinsX(); i++)
+ {
+ flowFuncHist->SetBinContent(i, flowFunc->Integral(flowFuncHist->GetXaxis()->GetBinLowEdge(i), flowFuncHist->GetXaxis()->GetBinUpEdge(i)));
+ flowFuncHist->SetBinError(i, 0);
+ }
+
+ i = 0;
+
+ flowFuncHist->Scale(1.0 / flowFuncHist->GetBinWidth(1));
+
+// new TCanvas;
+// flowFuncHist->Draw();
+// flowFunc->Draw("SAME");
+// return;
+
+ // residuals
+ residuals = (TH1*) hist->Clone("res1");
+ residuals->SetYTitle("Residuals");
+ residuals->Divide(flowFuncHist);
+ c->cd(i+2);
+ residuals->Draw();
+ residuals->GetYaxis()->SetNdivisions(505);
+ residuals->GetYaxis()->SetRangeUser(0.995, 1.005);
+
+ residuals = (TH1*) hist2->Clone("res2");
+ residuals->Divide(flowFuncHist);
+ c->cd(i+2);
+ residuals->SetLineColor(4);
+ residuals->Draw("SAME");
+
+ gPad->SetGridy();
+
+ if (i == 0)
+ {
+ legend = new TLegend(0.43, 0.66, 0.91, 0.82);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.034);
+ legend->SetTextAlign(22);
+
+ legend->SetHeader("Centrality 0-1%");
+ legend->AddEntry(hist, "|#eta| < 0.8 & All #Delta#eta", "L");
+ legend->AddEntry(hist2, "|#eta| < 0.8 & |#Delta#eta| > 0.8 (2x)", "L");
+
+ c->cd(i+1);
+ legend->Draw();
+ }
+
+ c->SaveAs(Form("machcone_%d.png", 0));
+ c->SaveAs(Form("machcone_%d.eps", 0));
+ c->SaveAs(Form("machcone_%d.C", 0));
+
+ return;
+
+ c->cd(1);
+ MACHCone(3, "", kTRUE)->SetTitle("");
+
+ c->cd(2);
+ hist1 = MACHCone(0, "", kFALSE);
+ hist2 = MACHCone(1, "SAME", kFALSE);
+ hist3 = MACHCone(2, "SAME", kFALSE);
+
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(1, 7);
+}
+
+void SetFlowStyle()
+{
+ // Set style which will affect all plots.
+
+ gStyle->Reset();
+ // gStyle->SetOptitle(0);
+ // gStyle->SetOptStat(0);
+ //gStyle->SetOptDate(1);
+ // gStyle->SetPalette(8,0); // (1,0)
+ gStyle->SetPalette(1); // (1,0)
+ gStyle->SetDrawBorder(0);
+ // gStyle->SetFillColor(0); // kills palete ???
+ gStyle->SetCanvasColor(0);
+ gStyle->SetPadColor(0);
+ // gStyle->SetFillColor(0); // otherwize it affects Fill colors later
+ gStyle->SetFrameFillColor(0);
+ gStyle->SetCanvasBorderMode(0);
+ gStyle->SetFrameLineWidth(2);
+ // gStyle->SetFrameFillStyle(4000);
+ gStyle->SetPadBorderMode(0);
+ gStyle->SetPadTickX(1);
+ gStyle->SetPadTickY(1);
+ gStyle->SetPadBottomMargin(0.15);
+ gStyle->SetPadLeftMargin(0.15);
+ gStyle->SetHistLineWidth(2);
+ gStyle->SetFuncWidth(2);
+ gStyle->SetLineWidth(2);
+ gStyle->SetLabelSize(0.05,"xyz");
+ gStyle->SetLabelOffset(0.01,"y");
+ gStyle->SetLabelColor(kBlack,"xyz");
+ gStyle->SetTitleSize(0.06,"xyz");
+ gStyle->SetTitleOffset(1.3,"y");
+ gStyle->SetTitleFillColor(0);
+ gStyle->SetLineWidth(2);
+ gStyle->SetHistLineColor(1);
+ gStyle->SetTextColor(1);
+ gStyle->SetTitleTextColor(1);
+ TGaxis::SetMaxDigits(4);
+ gStyle->SetOptStat(0); // removes stat. box from all histos
+ gROOT->ForceStyle();
+
+} // end of void SetFlowStyle()
+
+void PlotPtDistributionsSubtracted(const char* fileName1, Int_t centrBegin = 1, Int_t centrEnd = 6, Int_t fit = 0)
+{
+ loadlibs();
+
+ Int_t nCentralityBins = 5;
+ Int_t centralityBins[] = { 1, 7, 9, 11, 13, 16 };
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1);
+
+ TCanvas* canvas = new TCanvas("Pt", "Pt", 1000, 1000);
+ canvas->Divide(2, 2);
+
+ TLegend* legend = new TLegend(0.3, 0.8, 0.99, 0.99);
+ legend->SetFillColor(0);
+
+ Int_t colors[] = { 1, 2, 4, 6, 3, 5 };
+ Int_t markers[] = { 20, 21, 22, 23, 24, 25 };
+
+ Double_t ptMin = 10.01;
+ Double_t ptMax = 39.99;
+
+ TString str;
+ str.Form("%.1f < p_{T,trig} < %.1f", ptMin - 0.01, ptMax + 0.01);
+
+ canvas->cd(1);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+ gPad->SetLogy();
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ TH2F* dummy = new TH2F("dummy", "", 100, 1, 40, 100, 1e-5, 1e3);
+ dummy->SetStats(kFALSE);
+ dummy->SetXTitle("p_{T,assoc}");
+ dummy->SetYTitle("1/N_{trig} dN/dp_{T,assoc}");
+ dummy->GetYaxis()->SetTitleOffset(1);
+ Prepare1DPlot(dummy);
+
+ dummy->GetXaxis()->SetLabelSize(0.05);
+ dummy->GetYaxis()->SetLabelSize(0.05);
+ dummy->GetXaxis()->SetTitleSize(0.05);
+ dummy->GetYaxis()->SetTitleSize(0.05);
+ dummy->DrawCopy();
+
+ canvas->cd(2);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+ gPad->SetLogy();
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+ dummy->DrawCopy();
+
+ canvas->cd(3);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ dummy = new TH2F("dummy2", "", 100, 1, 40, 100, 0, 100);
+ dummy->SetStats(kFALSE);
+ dummy->SetXTitle("p_{T,assoc}");
+ dummy->SetYTitle("Ratio: Distribution / Inclusive");
+ dummy->GetYaxis()->SetTitleOffset(1);
+ Prepare1DPlot(dummy);
+ dummy->GetXaxis()->SetLabelSize(0.05);
+ dummy->GetYaxis()->SetLabelSize(0.05);
+ dummy->GetXaxis()->SetTitleSize(0.05);
+ dummy->GetYaxis()->SetTitleSize(0.05);
+ dummy->DrawCopy();
+
+ canvas->cd(4);
+ gPad->SetLeftMargin(0.15);
+ gPad->SetBottomMargin(0.2);
+ gPad->SetTopMargin(0.01);
+ gPad->SetRightMargin(0.01);
+ gPad->SetLogx();
+ gPad->SetGridx();
+ gPad->SetGridy();
+ dummy->DrawCopy();
+
+
+ // see GetAcceptanceScalingFactor
+ Float_t scalingFactor = 0.328396; // 0.8
+ //Float_t scalingFactor = 0.433268; // 0.7
+ //Float_t scalingFactor = 0.895593; // 0.5 --> 1.6
+
+ Float_t phiRange[] = { 0, TMath::Pi() / 2, TMath::Pi() };
+ const char* phiLabels[] = { "Towards", "Transverse", "Away" };
+
+ //Float_t phiSizeTowards = TMath::Pi() / 3;
+ Float_t phiSizeTowards = 0.75;
+ //Float_t etaLimit = 0.5;
+ Float_t etaLimit = 0.8;
+
+ towardsCentralEta = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[0] - phiSizeTowards, phiRange[0] + phiSizeTowards, -etaLimit + 0.01, etaLimit - 0.01);
+ towardsSideEta1 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[0] - phiSizeTowards, phiRange[0] + phiSizeTowards, -1.59, -etaLimit - 0.01);
+ TH1* towardsSideEta2 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[0] - phiSizeTowards, phiRange[0] + phiSizeTowards, etaLimit + 0.01, 1.59);
+ towardsSideEta1->Add(towardsSideEta2); // TODO can be done smarter? what about the errors?
+
+ Prepare1DPlot(towardsSideEta1);
+ Prepare1DPlot(towardsCentralEta);
+
+ towardsCentralEta->SetLineColor(colors[0]);
+ towardsSideEta1->SetLineColor(colors[3]);
+ //towardsSideEta1->SetLineStyle(2);
+
+ legend->AddEntry(towardsCentralEta->Clone(), Form("Jet, %s: |#Delta#eta| < 0.8, #phi ~ %.1f", phiLabels[0], phiRange[0]));
+ legend->AddEntry(towardsSideEta1->Clone(), Form("Ridge, %s: 0.8 < |#Delta#eta| < 1.6, #phi ~ %.1f", phiLabels[0], phiRange[0]));
+
+ // TODO update when data with new phi binning is available
+ transverse = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[1] - TMath::Pi() / 3, phiRange[1] + TMath::Pi() / 3, -1.59, 1.59);
+ /*
+ transverse2 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, -0.5 * TMath::Pi(), -TMath::Pi() / 3, -1.59, 1.59, kTRUE);
+ transverse3 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, TMath::Pi() + TMath::Pi() / 3, 1.5 * TMath::Pi(), -1.59, 1.59, kTRUE);
+ transverse->Add(transverse2);
+ transverse->Add(transverse3);
+ transverse->Scale(1.0 / (2.0 / 3 * TMath::Pi()));
+ */
+
+ //transverseSideEta1 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[1] - TMath::Pi() / 4, phiRange[1] + TMath::Pi() / 4, -1.59, -0.81);
+ //TH1* transverseSideEta2 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[1] - TMath::Pi() / 4, phiRange[1] + TMath::Pi() / 4, 0.81, 1.59);
+ //transverseSideEta1->Add(transverseSideEta2); // TODO can be done smarter? what about the errors?
+
+ transverse->SetLineColor(colors[2]);
+ //transverseSideEta1->SetLineColor(colors[2]);
+ //transverseSideEta1->SetLineStyle(2);
+
+ Prepare1DPlot(transverse);
+ //Prepare1DPlot(transverseSideEta1);
+ legend->AddEntry(transverse->Clone(), Form("%s: |#Delta#eta| < 1.6, #phi ~ %.1f", phiLabels[1], phiRange[1]));
+ //legend->AddEntry(transverseSideEta1->Clone(), Form("%s: 0.8 < |#Delta #eta| < 1.6, #phi ~ %.1f", phiLabels[1], phiRange[1]));
+
+ away = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[2] - TMath::Pi() / 3, phiRange[2] + TMath::Pi() / 3, -1.59, 1.59);
+
+ /*
+ away2 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[2] - TMath::Pi() / 4, phiRange[2] + TMath::Pi() / 4, -0.79, 0.79);
+ away3 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[2] - TMath::Pi() / 4, phiRange[2] + TMath::Pi() / 4, -1.59, -0.81);
+ away4 = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, phiRange[2] - TMath::Pi() / 4, phiRange[2] + TMath::Pi() / 4, 0.81, 1.59);
+ away3->Add(away4);
+ */
+
+ away->SetLineColor(colors[1]);
+ //away3->SetLineColor(colors[1]);
+ //away3->SetLineStyle(2);
+
+ Prepare1DPlot(away);
+ legend->AddEntry(away->Clone(), Form("%s: |#Delta#eta| < 1.6, #phi ~ %.1f", phiLabels[2], phiRange[2]));
+
+ //inclusive = h->GetUEHist(2)->GetPtHist(6, 0, ptMin, ptMax, centrBegin, centrEnd, -0.5 * TMath::Pi(), 1.5 * TMath::Pi(), -1.59, 1.59);
+
+ /*
+ h->GetUEHist(2)->GetEventHist()->GetGrid(6)->GetGrid()->GetAxis(1)->SetRange(centrBegin, centrEnd);
+ inclusive = h->GetUEHist(2)->GetEventHist()->ShowProjection(0, 6);
+ h->GetUEHist(2)->GetEventHist()->GetGrid(6)->GetGrid()->GetAxis(1)->SetRange(0, -1);
+ */
+
+ axis = h->GetUEHist(2)->GetEventHist()->GetGrid(6)->GetGrid()->GetAxis(1);
+
+ inclusiveTmp = h->GetCorrelationpT()->ProjectionY("inclusiveTmp", h->GetCorrelationpT()->GetXaxis()->FindBin(axis->GetBinLowEdge(centrBegin) + 0.01), h->GetCorrelationpT()->GetXaxis()->FindBin(axis->GetBinUpEdge(centrEnd) - 0.01));
+
+ //rebin to match other histograms
+ //inclusive2 = inclusive->Rebin(away->GetNbinsX(), "inclusive2", away->GetXaxis()->GetXbins()->GetArray());
+
+ // manually, as usual the ROOT function makes a SEGV
+ inclusive = (TH1*) away->Clone("inclusive");
+ inclusive->Reset();
+ inclusive->Sumw2();
+ for (Int_t bin=1; bin<=inclusiveTmp->GetNbinsX(); bin++)
+ inclusive->Fill(inclusiveTmp->GetBinCenter(bin), inclusiveTmp->GetBinContent(bin));
+
+ for (Int_t bin=1; bin<=inclusive->GetNbinsX(); bin++)
+ inclusive->SetBinError(bin, TMath::Sqrt(inclusive->GetBinContent(bin)));
+
+ // normalization: events, phase space
+ inclusive->Scale(1.0 / h->GetCentralityDistribution()->Integral(centrBegin, centrEnd));
+ inclusive->Scale(1.0 / (TMath::TwoPi() * 0.8 * 2));
+
+ // bin width
+ for (Int_t i=1; i<=inclusive->GetNbinsX(); i++)
+ {
+ inclusive->SetBinContent(i, inclusive->GetBinContent(i) / inclusive->GetXaxis()->GetBinWidth(i));
+ inclusive->SetBinError (i, inclusive->GetBinError(i) / inclusive->GetXaxis()->GetBinWidth(i));
+ }
+
+ Prepare1DPlot(inclusive);
+ inclusive->SetLineColor(colors[4]);
+ legend->AddEntry(inclusive->Clone(), "Inclusive");
+
+ //Prepare1DPlot(away3);
+ //legend->AddEntry(away3->Clone(), Form("%s: 0.8 < |#Delta #eta| < 1.6, #phi ~ %.1f", phiLabels[2], phiRange[2]));
+
+ // scale for acceptance to match acceptance of towardsCentralEta
+ towardsSideEta1->Scale(1.0 / scalingFactor); // contains only "side-eta"
+ transverse->Scale(1.0 / (1.0 + scalingFactor)); // full eta
+ away->Scale(1.0 / (1.0 + scalingFactor)); // full eta
+ inclusive->Scale(1.0 / (1.0 + scalingFactor)); // full eta (phi scaling implicit)
+
+ canvas->cd(1);
+ towardsCentralEtaClone = towardsCentralEta->DrawCopy("SAME");
+ towardsSideEta1Clone = towardsSideEta1->DrawCopy("SAME");
+ transverseClone = transverse->DrawCopy("SAME");
+ //transverseSideEta1->DrawCopy("SAME");
+ awayClone = away->DrawCopy("SAME");
+ inclusiveClone = inclusive->DrawCopy("SAME");
+ //inclusive2->DrawCopy("SAME");
+ //away3->DrawCopy("SAME");
+
+ canvas->cd(3);
+
+ towardsCentralEtaR = (TH1*) towardsCentralEta->Clone("towardsCentralEtaR");
+ towardsSideEta1R = (TH1*) towardsSideEta1->Clone("towardsSideEta1R");
+ transverseR = (TH1*) transverse->Clone("transverseR");
+ awayR = (TH1*) away->Clone("awayR");
+
+ towardsCentralEtaR->Divide(inclusive);
+ towardsSideEta1R->Divide(inclusive);
+ transverseR->Divide(inclusive);
+ awayR->Divide(inclusive);
+
+ towardsCentralEtaR->DrawCopy("SAME");
+ towardsSideEta1R->DrawCopy("SAME");
+ transverseR->DrawCopy("SAME");
+ awayR->DrawCopy("SAME");
+
+ if (fit == 1)
+ {
+ canvas->cd(1);
+
+ awayClone->Fit("expo", "", "SAME", 1.1, 2.9);
+ awayClone->GetFunction("expo")->SetRange(1, 10);
+ gPad->SetLogx(0);
+ }
+ else if (fit == 2)
+ {
+ canvas->cd(1);
+
+ func = new TF1("func", "[0] * x**[1]");
+ func->SetParameters(1, 1);
+
+ Float_t limitLow = 2.1;
+ Float_t limitHigh = 4.9;
+
+ func2 = (TF1*) func->Clone();
+ towardsCentralEtaClone->Fit(func2, "", "SAME", limitLow, limitHigh);
+ towardsCentralEtaClone->GetFunction("func")->SetRange(1, 10);
+ towardsCentralEtaClone->GetFunction("func")->SetLineColor(towardsCentralEtaClone->GetLineColor());
+
+ func2 = (TF1*) func->Clone();
+ towardsSideEta1Clone->Fit(func2, "", "SAME", limitLow, limitHigh);
+ towardsSideEta1Clone->GetFunction("func")->SetRange(1, 10);
+ towardsSideEta1Clone->GetFunction("func")->SetLineColor(towardsSideEta1Clone->GetLineColor());
+
+ func2 = (TF1*) func->Clone();
+ transverseClone->Fit(func2, "", "SAME", limitLow, limitHigh);
+ transverseClone->GetFunction("func")->SetRange(1, 10);
+ transverseClone->GetFunction("func")->SetLineColor(transverseClone->GetLineColor());
+
+ func2 = (TF1*) func->Clone();
+ awayClone->Fit(func2, "", "SAME", limitLow, limitHigh);
+ awayClone->GetFunction("func")->SetRange(1, 10);
+ awayClone->GetFunction("func")->SetLineColor(awayClone->GetLineColor());
+
+ func2 = (TF1*) func->Clone();
+ inclusiveClone->Fit(func2, "", "SAME", limitLow, limitHigh);
+ inclusiveClone->GetFunction("func")->SetRange(1, 10);
+ inclusiveClone->GetFunction("func")->SetLineColor(inclusiveClone->GetLineColor());
+ }
+
+ // subtract transverse part
+ away->Add(transverse, -1);
+ //away3->Add(transverseSideEta1, -1);
+ towardsCentralEta->Add(transverse, -1);
+ towardsSideEta1->Add(transverse, -1);
+ //inclusive->Add(transverse, -1);
+
+ canvas->cd(2);
+ towardsCentralEta->DrawCopy("SAME");
+ towardsSideEta1->DrawCopy("SAME");
+ away->DrawCopy("SAME");
+ inclusive->DrawCopy("SAME");
+ //away3->DrawCopy("SAME");
+
+ canvas->cd(4);
+
+ towardsCentralEtaR = (TH1*) towardsCentralEta->Clone("towardsCentralEtaR2");
+ towardsSideEta1R = (TH1*) towardsSideEta1->Clone("towardsSideEta1R2");
+ awayR = (TH1*) away->Clone("awayR2");
+
+ towardsCentralEtaR->Divide(inclusive);
+ towardsSideEta1R->Divide(inclusive);
+ awayR->Divide(inclusive);
+
+ towardsCentralEtaR->DrawCopy("SAME");
+ towardsSideEta1R->DrawCopy("SAME");
+ awayR->DrawCopy("SAME");
+
+ if (fit == 1)
+ {
+ canvas->cd(2);
+
+ away->Fit("expo", "", "SAME", 1.1, 2.9);
+ away->GetFunction("expo")->SetRange(1, 10);
+ gPad->SetLogx(0);
+ }
+ else if (fit == 2)
+ {
+ canvas->cd(2);
+
+ func = new TF1("func", "[0] * x**[1]");
+ func->SetParameters(1, 1);
+
+ func2 = (TF1*) func->Clone();
+ towardsCentralEta->Fit(func2, "", "SAME", limitLow, limitHigh);
+ func2->SetRange(1, 10);
+
+ func2 = (TF1*) func->Clone();
+ towardsSideEta1->Fit(func2, "", "SAME", limitLow, limitHigh);
+ func2->SetRange(1, 10);
+
+ func2 = (TF1*) func->Clone();
+ away->Fit(func2, "", "SAME", limitLow, limitHigh);
+ func2->SetRange(1, 10);
+
+ func2 = (TF1*) func->Clone();
+ inclusive->Fit(func2, "", "SAME", limitLow, limitHigh);
+ func2->SetRange(1, 10);
+ }
+
+ for (Int_t i=1; i<=2; i++)
+ {
+ canvas->cd(i);
+
+ TString str3;
+ str3.Form("%d-%d%%", (Int_t) h->GetCentralityDistribution()->GetXaxis()->GetBinLowEdge(centrBegin), (Int_t) h->GetCentralityDistribution()->GetXaxis()->GetBinUpEdge(centrEnd));
+ latex = new TLatex(0.2, 0.3, str3);
+ latex->SetNDC();
+ latex->SetTextSize(0.06);
+
+ latex2 = new TLatex(0.55, 0.6, str);
+ latex2->SetNDC();
+ latex2->SetTextSize(0.06);
+
+ latex->Draw();
+ latex2->Draw();
+
+ legend->Draw();
+ }
+}
+
+void CombineDeltaPhiWithWeighting()
+{
+ // From Hermes:
+ // For LHC11a2a:
+ // xsection: 11.879829, ntrials: 8132994.000000
+ //
+ // For LHC11a2b:
+ // xsection: 0.623421, ntrials: 2293420.000000
+ //
+ // For LHC11a2c:
+ // xsection: 0.043815, ntrials: 1314525.375000
+
+ // TODO is merging only same event distribution at present
+
+ loadlibs();
+
+ Int_t nInput = 3;
+ const char* inputList[] = { "mergejob/LHC11a2a_110124.root", "mergejob/LHC11a2b_110131.root", "mergejob/LHC11a2c_110131.root" };
+
+ Float_t xSections[] = { 11.879829 * 1e6 / 8132994, 0.623421 * 1e6 / 2293420, 0.043815 * 1e6 / 1314525 };
+ xSections[2] /= xSections[0];
+ xSections[1] /= xSections[0];
+ xSections[0] /= xSections[0];
+
+ AliUEHistograms* files[3];
+ TList* finalList = 0;
+ for (Int_t i=0; i<nInput; i++)
+ {
+ files[i] = (AliUEHistograms*) GetUEHistogram(inputList[i], (i == 0) ? &finalList : 0);
+ if (i > 0)
+ {
+ files[i]->Scale(xSections[i]);
+
+ TList* list2 = new TList;
+ list2->Add(files[i]);
+ files[0]->Merge(list2);
+ }
+ }
+
+ TFile* file3 = TFile::Open("out.root", "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ finalList->Write(0, TObject::kSingleKey);
+ file3->Close();
+}
+
+void NormalizeToBinWidth(TH1* hist)
+{
+ //
+ // normalizes a 1-d histogram to its bin width
+ //
+
+ if (hist->GetDimension() == 1)
+ {
+ for (Int_t i=1; i<=hist->GetNbinsX(); ++i)
+ {
+ hist->SetBinContent(i, hist->GetBinContent(i) / hist->GetBinWidth(i));
+ hist->SetBinError(i, hist->GetBinError(i) / hist->GetBinWidth(i));
+ }
+ }
+ else if (hist->GetDimension() == 2)
+ {
+ for (Int_t i=1; i<=hist->GetNbinsX(); ++i)
+ {
+ for (Int_t j=1; j<=hist->GetNbinsY(); ++j)
+ {
+ hist->SetBinContent(i, j, hist->GetBinContent(i, j) / hist->GetXaxis()->GetBinWidth(i) / hist->GetYaxis()->GetBinWidth(j));
+ hist->SetBinError(i, j, hist->GetBinError(i) / hist->GetXaxis()->GetBinWidth(i) / hist->GetYaxis()->GetBinWidth(j));
+ }
+ }
+ }
+}
+
+void GetAcceptanceScalingFactor(const char* fileName1, Float_t eta1 = 0.8, Float_t eta2 = 1.6)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName1, 0, kTRUE);
+ h->SetPtRange(1.01, 39.99);
+
+ new TCanvas;
+ mixed = ((TH2*)h->GetUEHist(2)->GetUEHist(6, 0, 1.01, 39.99, 0, 16, kTRUE))->ProjectionY();
+ mixed->DrawCopy();
+
+ Float_t left = mixed->Integral(mixed->FindBin(-eta2 + 0.01), mixed->FindBin(-eta1 - 0.01));
+ Float_t center = mixed->Integral(mixed->FindBin(-eta1 + 0.01), mixed->FindBin(eta1 - 0.01));
+ Float_t right = mixed->Integral(mixed->FindBin(eta1 + 0.01), mixed->FindBin(eta2 - 0.01));
+
+ Printf("%f %f %f", left, center, right);
+ Printf("%f", (left + right) / center);
+}
+
+void TrackingEfficiencyCentralityDependence(const char* fileName, Int_t step1 = 2, Int_t step2 = 4)
+{
+ Int_t nCentralityBins = 3;
+ Float_t centralityBins[] = { 0, 20, 40, 90 };
+
+ Int_t colors[] = { 1, 2, 4, 6 };
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ new TCanvas;
+ dummy = new TH2F("dummy", ";p_{T};tracking efficiency", 100, 0, 20, 100, 0.7, 1.3);
+ dummy->SetStats(0);
+ dummy->Draw();
+
+ legend = new TLegend(0.13, 0.67, 0.31, 0.87);
+ legend->SetTextSize(0.04);
+ legend->SetFillColor(0);
+
+ for (Int_t i=0; i<nCentralityBins; i++)
+ {
+ eventHist = h->GetUEHist(2)->GetEventHist();
+
+ eventHist->GetGrid(step1)->SetRangeUser(1, centralityBins[i] + 0.1, centralityBins[i+1] - 0.1);
+ eventHist->GetGrid(step2)->SetRangeUser(1, centralityBins[i] + 0.1, centralityBins[i+1] - 0.1);
+
+ TH1* hist1 = eventHist->ShowProjection(0, step1);
+ TH1* hist2 = eventHist->ShowProjection(0, step2);
+
+ hist2->Divide(hist1);
+
+ hist2->SetLineColor(colors[i]);
+ hist2->GetYaxis()->SetTitle("tracking efficiency");
+ hist2->Draw("SAME");
+
+ legend->AddEntry(hist2, Form("%.0f-%.0f%%", centralityBins[i], centralityBins[i+1]));
+ }
+
+ legend->Draw();
+}
+
+
+TGraphErrors* ReadHepdata(const char* fileName, Bool_t errorsAreAdded = kFALSE, Int_t skipYErrors = 0, Int_t skipXerrors = 1)
+{
+ // expected format: x [x2] y [ye] [ye2] [xe]
+ //
+ // skipYErrors: 0 --> ye present
+ // 1 --> no errors ye
+ // 2 --> y and ye are lower and upper error, i.e. y' = (y + ye) / 2 and ye = (ye - y) / 2
+ // 3 --> ye and ye2 are stat and syst error, will be added in quadrature
+ //
+ // skipXerrors: 0 --> xe present
+ // 1 --> no errors xe
+ // 2 --> x2 present, xe not present and is calculated from x2 - x
+
+ ifstream fin(fileName);
+
+ graph = new TGraphErrors(0);
+
+ Double_t sum = 0;
+
+ while (fin.good())
+ {
+ char buffer[2000];
+ if (fin.peek() == '#')
+ {
+ fin.getline(buffer, 2000);
+ continue;
+ }
+
+ Double_t x = -1;
+ Double_t x2 = -1;
+ Double_t y = -1;
+ Double_t ye = 0;
+ Double_t xe = 0;
+
+ fin >> x;
+
+ if (skipXerrors == 2)
+ {
+ fin >> x2;
+ xe = (x2 - x + 1) / 2;
+ x = x + (x2 - x) / 2;
+ }
+
+ fin >> y;
+
+ if (y == -1)
+ continue;
+
+ if (skipYErrors == 0)
+ {
+ ye = -1;
+ fin >> ye;
+ if (ye == -1)
+ continue;
+ }
+ else if (skipYErrors == 2)
+ {
+ ye = -1;
+ fin >> ye;
+ if (ye == -1)
+ continue;
+
+ Double_t newy = (y + ye) / 2;
+ ye = (ye - y) / 2;
+ y = newy;
+ }
+ else if (skipYErrors == 3)
+ {
+ ye = -1;
+ fin >> ye;
+ if (ye == -1)
+ continue;
+
+ Double_t ye2 = -1;
+ fin >> ye2;
+ if (ye2 == -1)
+ continue;
+
+ ye = TMath::Sqrt(ye*ye + ye2*ye2);
+ }
+
+ if (skipXerrors == 0)
+ {
+ xe = -1;
+ fin >> xe;
+ if (xe == -1)
+ continue;
+ }
+
+ //Printf("%f %f %f %f", x, y, xe, ye);
+
+ if (errorsAreAdded)
+ ye -= y;
+
+ graph->SetPoint(graph->GetN(), x, y);
+ graph->SetPointError(graph->GetN()-1, xe, ye);
+
+ sum += y;
+
+ // read rest until end of line...
+ fin.getline(buffer, 2000);
+ }
+ fin.close();
+
+ Printf("%s: %f", fileName, sum);
+
+ return graph;
+}
+
+void EvaluateParticleEfficiency(const char* fileName)
+{
+ Int_t centralityBegin = 1;
+ Int_t centralityEnd = 15;
+
+ if (1)
+ {
+ Int_t step1 = 4;
+ Int_t step2 = 5;
+ }
+ else
+ {
+ Int_t step1 = 2;
+ Int_t step2 = 4;
+ }
+
+ Float_t ptTriggerBegin = 4.01;
+ Float_t ptTriggerEnd = 19.99;
+
+ Bool_t verbose = 1;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHist* cont = h->GetUEHist(2);
+
+ cont->GetEventHist()->GetGrid(step1)->GetGrid()->GetAxis(1)->SetRange(centralityBegin, centralityEnd);
+ cont->GetEventHist()->GetGrid(step2)->GetGrid()->GetAxis(1)->SetRange(centralityBegin, centralityEnd);
+
+ Int_t stepEff1 = step1 - (Int_t) AliUEHist::kCFStepAnaTopology;
+ if (stepEff1 == -1)
+ stepEff1 = 0;
+ Int_t stepEff2 = step2 - (Int_t) AliUEHist::kCFStepAnaTopology;
+ if (stepEff2 == -1)
+ stepEff2 = 0;
+
+ cont->GetTrackHistEfficiency()->GetGrid(stepEff1)->GetGrid()->GetAxis(3)->SetRange(centralityBegin, centralityEnd);
+ cont->GetTrackHistEfficiency()->GetGrid(stepEff2)->GetGrid()->GetAxis(3)->SetRange(centralityBegin, centralityEnd);
+
+ TH1* triggerParticle = cont->GetEventHist()->Project(step2, 0);
+ triggerParticle->Divide(cont->GetEventHist()->Project(step1, 0));
+
+ TH1* singleParticle = cont->GetTrackHistEfficiency()->Project(stepEff2, 1);
+ singleParticle->Divide(cont->GetTrackHistEfficiency()->Project(stepEff1, 1));
+
+ //singleParticle = singleParticle->Rebin(triggerParticle->GetNbinsX(), "singleRebin", triggerParticle->GetXaxis()->GetXbins()->GetArray());
+
+ TGraphErrors* effectiveEffect = new TGraphErrors;
+ TGraphErrors* triggerCorrelatedEffect = new TGraphErrors;
+ TGraphErrors* afterBaseLine = new TGraphErrors;
+ TGraphErrors* triggerCorrelatedEffect2D = new TGraphErrors;
+
+ //TVirtualFitter::SetDefaultFitter("Linear");
+
+ for (Int_t bin=3; bin<=triggerParticle->GetNbinsX(); bin++)
+ {
+ if (triggerParticle->GetBinCenter(bin) > 10)
+ continue;
+
+ cont->SetPtRange(triggerParticle->GetXaxis()->GetBinLowEdge(bin) + 0.01, triggerParticle->GetXaxis()->GetBinUpEdge(bin) - 0.01);
+
+ TH1* hist1 = cont->GetUEHist(step1, 0, ptTriggerBegin, ptTriggerEnd, centralityBegin, centralityEnd);
+ TH1* hist2 = cont->GetUEHist(step2, 0, ptTriggerBegin, ptTriggerEnd, centralityBegin, centralityEnd);
+
+ // TODO the uncertainties on the ratios should be properly calculated! (if that helps ;))
+ clone = (TH1*) hist2->Clone("clone");
+ clone->Divide(hist1);
+
+ //func = new TF1("func", "[0]", -10, 10);
+
+ if ((Int_t) clone->Fit("pol0", "0", "", -10, 10) == 0)
+ {
+ func = clone->GetFunction("pol0");
+ effectiveEffect->SetPoint(effectiveEffect->GetN(), triggerParticle->GetBinCenter(bin) - 0.2, func->GetParameter(0));
+ effectiveEffect->SetPointError(effectiveEffect->GetN()-1, 0, func->GetParError(0));
+
+ if (verbose)
+ {
+ new TCanvas;
+ clone->GetYaxis()->SetRangeUser(0.9, 1.3);
+ clone->Draw();
+ func->DrawClone("SAME");
+ }
+ }
+
+ if ((Int_t) clone->Fit("pol0", "0", "", -0.3, 0.3) == 0)
+ {
+ func = clone->GetFunction("pol0");
+ triggerCorrelatedEffect->SetPoint(triggerCorrelatedEffect->GetN(), triggerParticle->GetBinCenter(bin) - 0.1, func->GetParameter(0));
+ triggerCorrelatedEffect->SetPointError(triggerCorrelatedEffect->GetN()-1, 0, func->GetParError(0));
+
+ if (verbose)
+ {
+ func->SetLineColor(2);
+ func->DrawClone("SAME");
+ }
+ }
+
+ if ((Int_t) hist2->Fit("pol0", "0", "", 1, 2) == 0)
+ {
+ func = hist2->GetFunction("pol0");
+ func->SetRange(-10, 10);
+ hist2->Add(func, -1);
+
+ if ((Int_t) hist1->Fit("pol0", "0", "", 1, 2) == 0)
+ {
+ func = hist1->GetFunction("pol0");
+ func->SetRange(-10, 10);
+ hist1->Add(func, -1);
+
+ //new TCanvas; hist1->DrawCopy();
+
+ hist2->Divide(hist1);
+
+ if ((Int_t) hist2->Fit("pol0", "0", "", -0.3, 0.3) == 0)
+ {
+ func = hist2->GetFunction("pol0");
+ afterBaseLine->SetPoint(afterBaseLine->GetN(), triggerParticle->GetBinCenter(bin) + 0.2, func->GetParameter(0));
+ afterBaseLine->SetPointError(afterBaseLine->GetN()-1, 0, func->GetParError(0));
+
+ if (verbose)
+ {
+ new TCanvas;
+ hist2->GetYaxis()->SetRangeUser(0.9, 1.3);
+ hist2->DrawCopy();
+ func->SetLineColor(4);
+ func->DrawClone("SAME");
+ }
+ }
+ }
+ }
+
+ // 2d
+ TH2* hist1_2D = cont->GetUEHist(step1, 0, ptTriggerBegin, ptTriggerEnd, centralityBegin, centralityEnd, 1);
+ TH2* hist2_2D = cont->GetUEHist(step2, 0, ptTriggerBegin, ptTriggerEnd, centralityBegin, centralityEnd, 1);
+
+ //((TH2*)hist1)->Rebin2D(2, 2); ((TH2*)hist2)->Rebin2D(2, 2);
+
+ hist2_2D->Divide(hist1_2D);
+
+ if (verbose)
+ {
+ new TCanvas;
+ hist2_2D->Draw("COLZ");
+ }
+
+ //Printf("%d %d %d %d", hist2_2D->GetXaxis()->FindBin(-0.01), hist2_2D->GetXaxis()->FindBin(0.01), hist2_2D->GetYaxis()->FindBin(-0.01), hist2_2D->GetYaxis()->FindBin(0.01));
+
+ Double_t error;
+ Float_t integral = hist2_2D->IntegralAndError(hist2_2D->GetXaxis()->FindBin(-0.01), hist2_2D->GetXaxis()->FindBin(0.01), hist2_2D->GetYaxis()->FindBin(-0.01), hist2_2D->GetYaxis()->FindBin(0.01), error);
+
+ integral /= hist2_2D->GetXaxis()->FindBin(0.01) - hist2_2D->GetXaxis()->FindBin(-0.01) + 1;
+ integral /= hist2_2D->GetYaxis()->FindBin(0.01) - hist2_2D->GetYaxis()->FindBin(-0.01) + 1;
+
+ error /= hist2_2D->GetXaxis()->FindBin(0.01) - hist2_2D->GetXaxis()->FindBin(-0.01) + 1;
+ error /= hist2_2D->GetYaxis()->FindBin(0.01) - hist2_2D->GetYaxis()->FindBin(-0.01) + 1;
+
+ triggerCorrelatedEffect2D->SetPoint(triggerCorrelatedEffect2D->GetN(), triggerParticle->GetBinCenter(bin) + 0.1, integral);
+ triggerCorrelatedEffect2D->SetPointError(triggerCorrelatedEffect2D->GetN()-1, 0, error);
+
+ if (verbose)
+ break;
+ }
+
+ new TCanvas;
+ triggerParticle->Draw();
+ triggerParticle->GetXaxis()->SetRangeUser(0, 9.9);
+
+ singleParticle->SetLineColor(2);
+ //singleParticle->Draw("SAME");
+
+ effectiveEffect->SetMarkerStyle(24);
+ effectiveEffect->Draw("PSAME");
+
+ triggerCorrelatedEffect->SetMarkerStyle(25);
+ triggerCorrelatedEffect->SetMarkerColor(2);
+ triggerCorrelatedEffect->SetLineColor(2);
+ triggerCorrelatedEffect->Draw("PSAME");
+
+ triggerCorrelatedEffect2D->SetMarkerStyle(27);
+ triggerCorrelatedEffect2D->SetMarkerColor(3);
+ triggerCorrelatedEffect2D->SetLineColor(3);
+ triggerCorrelatedEffect2D->Draw("PSAME");
+
+ afterBaseLine->SetMarkerStyle(26);
+ afterBaseLine->SetMarkerColor(4);
+ afterBaseLine->SetLineColor(4);
+ afterBaseLine->Draw("PSAME");
+
+ legend = new TLegend(0.66, 0.15, 0.88, 0.38);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.04);
+ legend->AddEntry(triggerParticle, "trigger", "L");
+ //legend->AddEntry(singleParticle, "single", "L");
+ legend->AddEntry(effectiveEffect, "effective", "P");
+ legend->AddEntry(triggerCorrelatedEffect, "at 0", "P");
+ legend->AddEntry(triggerCorrelatedEffect2D, "at 0 (2d)", "P");
+ legend->AddEntry(afterBaseLine, "baseline", "P");
+ legend->Draw();
+}
+
+void EvaluateParticleEfficiency2D(const char* fileName)
+{
+ Int_t centralityBegin = 1;
+ Int_t centralityEnd = 15;
+
+ if (1)
+ {
+ Int_t step1 = 4;
+ Int_t step2 = 5;
+ }
+ else
+ {
+ Int_t step1 = 2;
+ Int_t step2 = 4;
+ }
+
+ Bool_t verbose = 0;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHist* cont = h->GetUEHist(2);
+
+ cont->GetEventHist()->GetGrid(step1)->GetGrid()->GetAxis(1)->SetRange(centralityBegin, centralityEnd);
+ cont->GetEventHist()->GetGrid(step2)->GetGrid()->GetAxis(1)->SetRange(centralityBegin, centralityEnd);
+
+ Int_t stepEff1 = step1 - (Int_t) AliUEHist::kCFStepAnaTopology;
+ if (stepEff1 == -1)
+ stepEff1 = 0;
+ Int_t stepEff2 = step2 - (Int_t) AliUEHist::kCFStepAnaTopology;
+ if (stepEff2 == -1)
+ stepEff2 = 0;
+
+ cont->GetTrackHistEfficiency()->GetGrid(stepEff1)->GetGrid()->GetAxis(3)->SetRange(centralityBegin, centralityEnd);
+ cont->GetTrackHistEfficiency()->GetGrid(stepEff2)->GetGrid()->GetAxis(3)->SetRange(centralityBegin, centralityEnd);
+
+ TH1* triggerParticle = cont->GetEventHist()->Project(step2, 0);
+ triggerParticle->Divide(cont->GetEventHist()->Project(step1, 0));
+
+ TH1* singleParticle = cont->GetTrackHistEfficiency()->Project(stepEff2, 1);
+ singleParticle->Divide(cont->GetTrackHistEfficiency()->Project(stepEff1, 1));
+
+ cont->GetTrackHist(0)->GetGrid(step1)->SetRangeUser(0, -0.01, 0.01); // delta eta
+ cont->GetTrackHist(0)->GetGrid(step1)->SetRangeUser(4, -0.01, 0.01); // delta phi
+ TH2* tracksStep1 = (TH2*) cont->GetTrackHist(0)->Project(step1, 1, 2);
+
+ cont->GetTrackHist(0)->GetGrid(step2)->SetRangeUser(0, -0.01, 0.01); // delta eta
+ cont->GetTrackHist(0)->GetGrid(step2)->SetRangeUser(4, -0.01, 0.01); // delta phi
+ TH2* tracksStep2 = (TH2*) cont->GetTrackHist(0)->Project(step2, 1, 2);
+
+ tracksStep2->Divide(tracksStep1);
+
+ TH1* triggersStep1 = cont->GetEventHist()->Project(step1, 0);
+ TH1* triggersStep2 = cont->GetEventHist()->Project(step2, 0);
+
+ for (Int_t x=1; x<=tracksStep2->GetNbinsX(); x++)
+ for (Int_t y=1; y<=tracksStep2->GetNbinsY(); y++)
+ if (singleParticle->GetBinContent(x) > 0)
+ tracksStep2->SetBinContent(x, y, tracksStep2->GetBinContent(x, y) / triggersStep2->GetBinContent(y) * triggersStep1->GetBinContent(y) / singleParticle->GetBinContent(x));
+ else
+ tracksStep2->SetBinContent(x, y, 0);
+
+ new TCanvas;
+ tracksStep2->Draw("COLZ");
+
+ TGraphErrors** triggerCorrelatedEffect2D = new TGraphErrors*[triggerParticle->GetNbinsX()+1];
+ TGraphErrors** triggerCorrelatedEffect2DSub = new TGraphErrors*[triggerParticle->GetNbinsX()+1];
+
+ for (Int_t bin1=0; bin1<=triggerParticle->GetNbinsX(); bin1++)
+ {
+ triggerCorrelatedEffect2D[bin1] = 0;
+ triggerCorrelatedEffect2DSub[bin1] = 0;
+ }
+
+ for (Int_t bin1=5; bin1<=triggerParticle->GetNbinsX(); bin1++)
+ {
+ if (triggerParticle->GetBinCenter(bin1) > 10)
+ continue;
+
+ Float_t ptTriggerBegin = triggerParticle->GetXaxis()->GetBinLowEdge(bin1) + 0.01;
+ Float_t ptTriggerEnd = triggerParticle->GetXaxis()->GetBinUpEdge(bin1) - 0.01;
+
+ for (Int_t bin2=3; bin2<=triggerParticle->GetNbinsX(); bin2++)
+ {
+ if (triggerParticle->GetBinCenter(bin2) > 8)
+ continue;
+
+ if (bin2 > bin1)
+ continue;
+
+ cont->SetPtRange(triggerParticle->GetXaxis()->GetBinLowEdge(bin2) + 0.01, triggerParticle->GetXaxis()->GetBinUpEdge(bin2) - 0.01);
+
+ // 2d
+ TH2* hist1_2D = cont->GetUEHist(step1, 0, ptTriggerBegin, ptTriggerEnd, centralityBegin, centralityEnd, 1);
+ TH2* hist2_2D = cont->GetUEHist(step2, 0, ptTriggerBegin, ptTriggerEnd, centralityBegin, centralityEnd, 1);
+
+ //((TH2*)hist1)->Rebin2D(2, 2); ((TH2*)hist2)->Rebin2D(2, 2);
+
+ hist2_2D->Divide(hist1_2D);
+
+ if (verbose)
+ {
+ new TCanvas;
+ hist2_2D->Draw("COLZ");
+ }
+
+ //Printf("%d %d %d %d", hist2_2D->GetXaxis()->FindBin(-0.01), hist2_2D->GetXaxis()->FindBin(0.01), hist2_2D->GetYaxis()->FindBin(-0.01), hist2_2D->GetYaxis()->FindBin(0.01));
+
+ Double_t error;
+ Float_t integral = hist2_2D->IntegralAndError(hist2_2D->GetXaxis()->FindBin(-0.01), hist2_2D->GetXaxis()->FindBin(0.01), hist2_2D->GetYaxis()->FindBin(-0.01), hist2_2D->GetYaxis()->FindBin(0.01), error);
+
+ integral /= hist2_2D->GetXaxis()->FindBin(0.01) - hist2_2D->GetXaxis()->FindBin(-0.01) + 1;
+ integral /= hist2_2D->GetYaxis()->FindBin(0.01) - hist2_2D->GetYaxis()->FindBin(-0.01) + 1;
+
+ error /= hist2_2D->GetXaxis()->FindBin(0.01) - hist2_2D->GetXaxis()->FindBin(-0.01) + 1;
+ error /= hist2_2D->GetYaxis()->FindBin(0.01) - hist2_2D->GetYaxis()->FindBin(-0.01) + 1;
+
+ if (integral <= 0)
+ continue;
+
+ if (!triggerCorrelatedEffect2D[bin1])
+ triggerCorrelatedEffect2D[bin1] = new TGraphErrors;
+
+ triggerCorrelatedEffect2D[bin1]->SetPoint(triggerCorrelatedEffect2D[bin1]->GetN(), triggerParticle->GetBinCenter(bin2) - 0.5 + 0.1 * bin1, integral);
+ triggerCorrelatedEffect2D[bin1]->SetPointError(triggerCorrelatedEffect2D[bin1]->GetN()-1, 0, error);
+
+ if (!triggerCorrelatedEffect2DSub[bin1])
+ triggerCorrelatedEffect2DSub[bin1] = new TGraphErrors;
+
+ triggerCorrelatedEffect2DSub[bin1]->SetPoint(triggerCorrelatedEffect2DSub[bin1]->GetN(), triggerParticle->GetBinCenter(bin2) - 0.5 + 0.1 * bin1, integral / triggerParticle->GetBinContent(bin2));
+ triggerCorrelatedEffect2DSub[bin1]->SetPointError(triggerCorrelatedEffect2DSub[bin1]->GetN()-1, 0, error / triggerParticle->GetBinContent(bin2));
+
+ if (verbose)
+ break;
+ }
+
+ if (verbose)
+ break;
+ }
+
+ new TCanvas;
+ triggerParticle->Draw();
+ triggerParticle->GetXaxis()->SetRangeUser(0, 9.9);
+
+ legend = new TLegend(0.66, 0.15, 0.88, 0.38);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.04);
+ legend->AddEntry(triggerParticle, "trigger", "L");
+
+ Int_t marker = 20;
+ Int_t color = 1;
+
+ for (Int_t bin1=3; bin1<=triggerParticle->GetNbinsX(); bin1++)
+ if (triggerCorrelatedEffect2D[bin1])
+ {
+ triggerCorrelatedEffect2D[bin1]->SetMarkerStyle(marker++);
+ triggerCorrelatedEffect2D[bin1]->SetMarkerColor(color);
+ triggerCorrelatedEffect2D[bin1]->SetLineColor(color++);
+ triggerCorrelatedEffect2D[bin1]->Draw("PSAME");
+ legend->AddEntry(triggerCorrelatedEffect2D[bin1], Form("pt %.2f", triggerParticle->GetBinCenter(bin1)), "P");
+ }
+
+ legend->Draw();
+
+ new TCanvas;
+ triggerParticle->Draw();
+ triggerParticle->GetXaxis()->SetRangeUser(0, 9.9);
+
+ marker = 20;
+ color = 1;
+
+ for (Int_t bin1=3; bin1<=triggerParticle->GetNbinsX(); bin1++)
+ if (triggerCorrelatedEffect2DSub[bin1])
+ {
+ triggerCorrelatedEffect2DSub[bin1]->SetMarkerStyle(marker++);
+ triggerCorrelatedEffect2DSub[bin1]->SetMarkerColor(color);
+ triggerCorrelatedEffect2DSub[bin1]->SetLineColor(color++);
+ triggerCorrelatedEffect2DSub[bin1]->Draw("PSAME");
+ }
+
+ legend->Draw();
+}
+
+void DrawEventCount(const char* fileName, Int_t step = 8)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ h->GetEventCount()->Draw("TEXT");
+
+ eventCount = h->GetEventCount();
+ Float_t events = eventCount->Integral(eventCount->GetXaxis()->FindBin(step), eventCount->GetXaxis()->FindBin(step), eventCount->GetYaxis()->FindBin(0.01 + 1), eventCount->GetYaxis()->FindBin(-0.01 + 10));
+ Printf("Events: %f", events);
+}
+
+void FitDCADistributions(const char* fileName1)
+{
+ loadlibs();
+
+ TFile::Open(fileName1);
+ list = (TList*) gFile->Get("histosPhiCorrelationsQA");
+ prim = (TH2*) list->FindObject("fDCAPrimaries");
+ sec = (TH2*) list->FindObject("fDCASecondaries");
+
+ Float_t zCut = 0.5;
+
+ TH2* histList[] = { prim, sec };
+
+ TH1* primProj = 0;
+ TH1* secProj = 0;
+
+ for (Int_t i=0; i<2; i++)
+ {
+ new TCanvas;
+ gPad->SetGridx();
+ gPad->SetGridy();
+ gPad->SetLogy();
+
+// hist = histList[i]->ProjectionX("proj", prim->GetYaxis()->FindBin(-zCut), prim->GetYaxis()->FindBin(zCut))->DrawCopy("");
+ hist = histList[i]->ProjectionY("proj", prim->GetXaxis()->FindBin(-zCut), prim->GetXaxis()->FindBin(zCut))->DrawCopy("");
+ hist->SetStats(0);
+
+ func = new TF1("func", "gaus(0)+gaus(3)");
+ func->SetParameters(1e6, 0, 0.02, 1e3, 0, 2);
+ func->FixParameter(1, 0);
+ func->FixParameter(4, 0);
+ func->SetParLimits(2, 0, 0.1);
+ func->SetParLimits(5, 1, 3);
+
+ hist->Fit(func, "", "", -2, 2);
+
+ func2 = new TF1("func2", "gaus(0)");
+ func2->SetParameters(1e3, 0, 2);
+ func2->FixParameter(1, 0);
+ func2->SetParLimits(2, 0.5, 5);
+
+ hist->Fit(func2, "+", "", -2, -1);
+ func2->SetRange(-3, 3);
+ func2->Draw("SAME");
+
+// break;
+ }
+}
+
+void CompareDCADistributions(const char* fileName1, const char* fileName2)
+{
+ TFile::Open(fileName1);
+ list = (TList*) gFile->Get("histosPhiCorrelationsQA");
+ prim = (TH2*) list->FindObject("fDCAPrimaries");
+ sec = (TH2*) list->FindObject("fDCASecondaries");
+
+ TFile::Open(fileName2);
+ list = (TList*) gFile->Get("histosPhiCorrelationsQA");
+ all = (TH2*) list->FindObject("fDCAPrimaries");
+
+ Float_t zCut = 3.2;
+
+ TH2* histList[] = { prim, sec, all };
+
+ Float_t count = 0;
+
+ TH1* primProj = 0;
+ TH1* secProj = 0;
+
+ new TCanvas;
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ for (Int_t i=0; i<3; i++)
+ {
+ hist = histList[i]->ProjectionX("proj", prim->GetYaxis()->FindBin(-zCut), prim->GetYaxis()->FindBin(zCut))->DrawCopy(i>0?"SAME":"");
+ hist->SetStats(0);
+ //hist = histList[i]->ProjectionY("proj", prim->GetXaxis()->FindBin(-zCut), prim->GetXaxis()->FindBin(zCut))->DrawCopy(i>0?"SAME":"");
+ hist->SetLineColor(i+1);
+ if (i == 0)
+ primProj = hist;
+ if (i == 1)
+ secProj = hist;
+ if (i == 2)
+ hist->Scale(1.0 / hist->Integral(hist->GetXaxis()->FindBin(-0.5), hist->GetXaxis()->FindBin(0.5)) * count);
+ else
+ count += hist->Integral(hist->GetXaxis()->FindBin(-0.5), hist->GetXaxis()->FindBin(0.5));
+ }
+
+ gPad->SetLogy();
+
+ ratio = (TH1*) hist->Clone("ratio");
+ ratio->Add(primProj, -1);
+
+/* for (Int_t i=hist->GetXaxis()->FindBin(-0.1); i<=hist->GetXaxis()->FindBin(0.1); i++)
+ ratio->SetBinContent(i, 0);*/
+
+ for (Int_t i=1; i<=hist->GetNbinsX(); i++)
+ ratio->SetBinError(i, 0);
+
+ ratio->SetLineColor(4);
+ ratio->DrawCopy("SAME E");
+
+ new TCanvas;
+ gPad->SetGridx();
+ gPad->SetGridy();
+
+ ratio->Rebin(4);
+ secProj = (TH1*) secProj->Clone();
+ secProj->Rebin(4);
+
+ ratio->Divide(secProj);
+
+/* for (Int_t i=1; i<=hist->GetNbinsX(); i++)
+ ratio->SetBinError(i, 0);*/
+
+ ratio->Draw("HIST");
+ ratio->GetYaxis()->SetRangeUser(0.7, 1.3);
+
+ ratio->Fit("pol0", "0+", "", -5, -1);
+ ratio->Fit("pol0", "0+", "", 1, 5);
+}
+
+void TrackCuts_CompareParameters(const char* fileName1, const char* fileName2, const char* histName, const char* cutFolder = "cuts_quality_only")
+{
+ // plotWhich: 0 = only before
+ // 1 = both
+ // 2 = only after
+ //
+ // mirror: kTRUE --> project negative values on the positive side
+
+ Int_t plotWhich = 0;
+ Bool_t mirror = kFALSE;
+
+ TFile* files[2];
+ files[0] = TFile::Open(fileName1);
+ files[1] = TFile::Open(fileName2);
+
+ Int_t count = 0;
+ Int_t colors[] = { 1, 2, 3, 4, 5, 6 };
+
+ TLegend* legend = new TLegend(0.7, 0.85, 0.93, 0.98);
+ legend->SetTextSize(0.04);
+ legend->SetFillColor(0);
+
+ TCanvas* c1 = new TCanvas(histName, histName, 1200, 600);
+ c1->Divide(2, 1);
+ //TCanvas* c2 = new TCanvas("c2", "c2", 800, 600);
+ //TCanvas* c3 = new TCanvas("c3", "c3", 800, 600);
+
+ const char* folders2[] = { "before_cuts", "after_cuts" };
+ const char* names[] = { "MC", "Data" };
+ Bool_t first = kTRUE;
+ for (Int_t j = ((plotWhich < 2) ? 0 : 1); j < ((plotWhich > 0) ? 2 : 1); j++)
+ {
+ TH1* base = 0;
+ TH1* base2 = 0;
+ for (Int_t i = 0; i < 2; i++)
+ {
+ Printf("%d %d", j, i);
+ TString folder;
+ folder.Form("%s/%s/%s", cutFolder, folders2[j], histName);
+ TH1* hist = (TH1*) files[i]->Get(folder);
+
+ if (mirror)
+ {
+ for (Int_t bin=1; bin<=hist->GetXaxis()->FindBin(-0.0001); bin++)
+ {
+ Int_t newBin = hist->GetXaxis()->FindBin(-hist->GetXaxis()->GetBinCenter(bin));
+ if (bin != newBin)
+ {
+ hist->Fill(-hist->GetXaxis()->GetBinCenter(bin), hist->GetBinContent(bin));
+ hist->SetBinContent(bin, 0);
+ }
+ }
+ }
+
+ legend->AddEntry(hist, Form("%s %s", names[i], (plotWhich == 1) ? folders2[j] : " "));
+
+ c1->cd(1);
+ hist->SetLineColor(colors[count]);
+ hist->Scale(1.0 / hist->Integral());
+ hist->SetStats(0);
+ hist->DrawCopy((count == 0) ? "" : "SAME");
+
+ switch (i)
+ {
+ case 0: base = hist; break;
+ case 1: base2 = hist; break;
+ }
+
+ count++;
+ }
+
+ TH1* ratio = base;
+ ratio->Divide(base2);
+
+ ratio->GetYaxis()->SetRangeUser(0, 2);
+
+ c1->cd(2);
+ ratio->DrawCopy((first) ? "" : "SAME");
+ first = kFALSE;
+ }
+
+ c1->cd(1)->SetLogy();
+ c1->cd(1)->SetGridx();
+ c1->cd(1)->SetGridy();
+ legend->Draw();
+
+ c1->cd(2)->SetGridx();
+ c1->cd(2)->SetGridy();
+
+ c1->SaveAs(Form("%s.png", histName));
+}
+
+void PlotQA(const char* fileName, const char* tag = "")
+{
+ loadlibs();
+
+ if (!gGrid && TString(fileName).BeginsWith("alien://"))
+ TGrid::Connect("alien://");
+
+ TFile::Open(fileName);
+
+ // phys sel
+ Int_t runNumber = 0;
+ list = (TList*) gFile->Get("PhysSel");
+ if (list)
+ {
+ physSel = (AliPhysicsSelection*) list->FindObject("AliPhysicsSelection");
+// runNumber = physSel->GetCurrentRun();
+ }
+
+ TString tmp(fileName);
+ tmp.ReplaceAll("alien:///alice/cern.ch/user/j/jgrosseo/gridjob/dir_", "");
+ tmp.ReplaceAll(".root", ".png");
+ tmp.ReplaceAll("/", "-");
+ TString title;
+ title.Form("QA_%d_%s", runNumber, tmp.Data());
+ c = new TCanvas(title, title, 1200, 800);
+ c->Divide(3, 3);
+
+ // QA task
+ list = (TList*) gFile->Get("histosPhiCorrelationsQA");
+ if (list)
+ {
+ prim = (TH2*) list->FindObject("fDCAPrimaries");
+ dcaxy = prim->ProjectionX("dcaxy", prim->GetYaxis()->FindBin(-3.2), prim->GetYaxis()->FindBin(3.2));
+ dcaz = prim->ProjectionY("dcaz", prim->GetXaxis()->FindBin(-2.4), prim->GetXaxis()->FindBin(2.4));
+ centrCorr = (TH2*) list->FindObject("fCentralityCorrelation");
+
+ c->cd(1); dcaxy->Draw(); dcaz->SetLineColor(2); dcaz->Draw("SAME"); gPad->SetLogy();
+ c->cd(6); centrCorr->Draw("COLZ"); gPad->SetLogz();
+
+ cuts = (AliESDtrackCuts*) list->FindObject("cuts_quality_dca");
+ if (cuts)
+ {
+ cluster = cuts->GetNClustersTPC(1);
+ c->cd(3); cluster->Draw();
+
+ ptall = (TH1F*) cuts->GetPtHist(1)->Clone("ptall");
+ if (ptall->Integral() > 0)
+ ptall->Scale(1.0 / ptall->Integral());
+
+ c->cd(7);
+ ptall->Draw();
+
+ TH1* ptIts = 0;
+ check_its = (AliESDtrackCuts*) list->FindObject("check_its");
+ if (check_its)
+ {
+ ptIts = (TH1F*) check_its->GetPtHist(1)->Clone("ptIts");
+ if (ptIts->Integral() > 0)
+ ptIts->Scale(1.0 / ptIts->Integral());
+ }
+
+ TH1* ptItsAcc = 0;
+ global_cuts = (AliESDtrackCuts*) list->FindObject("global_cuts");
+ if (global_cuts)
+ {
+ ptItsAcc = (TH1*) global_cuts->GetPtHist(1)->Clone("ptItsAcc");
+ if (ptItsAcc->Integral() > 0)
+ ptItsAcc->Scale(1.0 / ptItsAcc->Integral());
+ }
+
+ if (ptIts)
+ {
+ ptIts->SetLineColor(2);
+ ptIts->Draw("SAME");
+ }
+
+ if (ptItsAcc)
+ {
+ ptItsAcc->SetLineColor(4);
+ ptItsAcc->Draw("SAME");
+ }
+
+ gPad->SetLogy();
+ }
+ }
+
+ // centrality task
+ list = (TList*) gFile->Get("CentralityStat");
+ TH1* centrQuality = 0;
+ if (list)
+ {
+ centrQuality = (TH1*) list->FindObject("fHOutQuality");
+
+ c->cd(4); if (centrQuality) centrQuality->Draw();
+ }
+
+ // phi corr task
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, 0, kFALSE, tag);
+
+ if (h->GetUEHist(2)->GetTrackHist(0)->GetGrid(6)->GetGrid()->GetNbins() == 0)
+ {
+ Printf("We have %d axes", ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0)->GetNVar()));
+
+// ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->ReduceAxis();
+ ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->FillParent();
+ ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->DeleteContainers();
+ }
+ centr = h->GetCentralityDistribution();
+ NormalizeToBinWidth(centr);
+ Int_t events = (Int_t) h->GetEventCount()->ProjectionX()->GetBinContent(3);
+ Int_t mergeCount = h->GetMergeCount();
+
+ h->SetPtRange(1.01, 3.99);
+ dphi_corr = h->GetUEHist(2)->GetUEHist(AliUEHist::kCFStepReconstructed, 0, 1.01, 14.99, 1, 8);
+ if (dphi_corr->GetEntries() == 0)
+ dphi_corr = h->GetUEHist(2)->GetUEHist(AliUEHist::kCFStepReconstructed+2, 0, 1.01, 14.99, 1, 8);
+ if (dphi_corr->GetEntries() == 0)
+ dphi_corr = h->GetUEHist(2)->GetUEHist(AliUEHist::kCFStepAll, 0, 1.01, 14.99, 1, 8);
+
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE, tag);
+ if (hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(6)->GetGrid()->GetNbins() == 0)
+ {
+// ((AliTHn*) hMixed->GetUEHist(2)->GetTrackHist(0))->ReduceAxis();
+ ((AliTHn*) hMixed->GetUEHist(2)->GetTrackHist(0))->FillParent();
+ }
+
+ Float_t ptMin = 0.51;
+ hMixed->SetPtRange(ptMin, 3.99);
+ dphi_corr_mixed = hMixed->GetUEHist(2)->GetUEHist(AliUEHist::kCFStepReconstructed, 0, ptMin, 14.99, 1, 8);
+ if (dphi_corr_mixed->GetEntries() == 0)
+ dphi_corr_mixed = hMixed->GetUEHist(2)->GetUEHist(AliUEHist::kCFStepReconstructed+2, 0, ptMin, 14.99, 1, 8);
+ if (dphi_corr_mixed->GetEntries() == 0)
+ dphi_corr_mixed = hMixed->GetUEHist(2)->GetUEHist(AliUEHist::kCFStepAll, 0, ptMin, 14.99, 1, 8);
+
+ if (runNumber != 0 && runNumber != h->GetRunNumber())
+ AliFatal("Run numbers inconsistent");
+
+ Printf("%d", h->GetRunNumber());
+ if (runNumber == 0)
+ runNumber = h->GetRunNumber();
+
+ c->cd(2); dphi_corr->Draw(); dphi_corr->GetYaxis()->SetRangeUser(dphi_corr->GetMinimum() * 0.9, dphi_corr->GetMaximum() * 1.1); dphi_corr_mixed->SetLineColor(2); dphi_corr_mixed->Draw("SAME");
+ c->cd(5); centr->Draw("HIST");
+
+ c->cd(1);
+ latex = new TLatex(0.15, 0.8, Form("%d events, %d merged objects", events, mergeCount));
+ latex->SetTextSize(0.075);
+ latex->SetNDC();
+ latex->Draw();
+
+ c->cd(8);
+ h->GetEventCount()->Draw("TEXT");
+
+ title.Form("QA_%d_%s", runNumber, tmp.Data());
+ c->SetTitle(title);
+
+ gpTMin = 1.0;
+ gpTMax = 1.99;
+ h->SetPtRange(gpTMin, gpTMax);
+ hMixed->SetPtRange(gpTMin, gpTMax);
+
+ TH2* hist1 = 0;
+
+ c->cd(3);
+ GetDistAndFlow(h, 0, &hist1, 0, 6, 0, 20, 1.01, 4.99, 1);
+ hist1->DrawCopy("SURF1");
+
+ c->cd(6);
+ GetDistAndFlow(hMixed, 0, &hist1, 0, 6, 0, 20, 1.01, 4.99, 1);
+ hist1->DrawCopy("SURF1");
+
+ c->cd(9);
+ GetSumOfRatios(h, hMixed, &hist1, 6, 0, 20, 1.01, 4.99, kTRUE);
+ if (hist1)
+ hist1->DrawCopy("SURF1");
+
+ c->SaveAs(Form("qa/%s", c->GetTitle()));
+}
+
+void GetEventNumber(const char* fileName)
+{
+ loadlibs();
+
+ new TCanvas("c1", "", 800, 600);
+
+ Int_t nEvent = 0;
+
+ TFile::Open(fileName);
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ centr = h->GetCentralityDistribution();
+ nEvent = h->GetCentralityDistribution()->Integral(h->GetCentralityDistribution()->FindBin(0.01), h->GetCentralityDistribution()->FindBin(59.99));
+
+ cout << "Number of events: " << nEvent << endl;
+ centr->Draw("HIST");
+}
+void CompareStepsOnePlot(const char* fileName, Int_t caseId)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Int_t stepList[] = { 0, 1, 2, 4, 5, 6 };
+ Int_t stepListNames[] = { 0, 1, 2, 3, 4, 5 };
+ Int_t nSteps = 6;
+ //const char* names[] = { "All", "PhysSel+Vertex", "Reco Primaries", "Reco "
+// //Int_t stepList[] = { 2, 4, 5, 6 };
+//
+//
+// TH1* hist1 = h->GetUEHist(2)->GetUEHist(0, 0, 6.01, 9.99, 6, 14);
+// TH1* hist2 = h->GetUEHist(2)->GetUEHist(0, 0, 6.01, 7.99, 6, 14);
+// TH1* hist3 = h->GetUEHist(2)->GetUEHist(0, 0, 8.01, 9.99, 6, 14);
+//
+// hist1->Draw();
+// hist2->SetLineColor(2);
+// hist2->Draw("SAME");
+// hist3->SetLineColor(4);
+// hist3->Draw("SAME");
+// return;
+//
+
+ legend = new TLegend(0.65, 0.45, 0.85, 0.85);
+ legend->SetTextSize(0.04);
+ legend->SetFillColor(0);
+
+ TH1* histList[10];
+
+ for (Int_t i=0; i<nSteps; i++)
+ {
+ //TH1* hist1 = h->GetUEHist(2)->GetEventHist()->Project(stepList[i], 0);
+
+/* h->GetUEHist(2)->GetTrackHist(0)->GetGrid(stepList[i])->GetGrid()->GetAxis(1)->SetRangeUser(1.01, 3.99);
+ h->GetUEHist(2)->GetTrackHist(0)->GetGrid(stepList[i])->GetGrid()->GetAxis(2)->SetRangeUser(4.01, 19.99);
+ TH1* hist1 = h->GetUEHist(2)->GetTrackHist(0)->Project(stepList[i], 4);*/
+
+ if (caseId == 0)
+ TH1* hist1 = h->GetUEHist(2)->GetUEHist(stepList[i], 0, 1.01, 19.99);
+ else if (caseId == 1)
+ TH1* hist1 = h->GetUEHist(2)->GetEventHist()->Project(stepList[i], 0);
+
+ //hist1->Rebin(2);
+ //hist1->Rebin(4);
+ hist1->SetMarkerStyle(24+i);
+ hist1->SetTitle("");
+ hist1->SetStats(0);
+ hist1->DrawCopy((i==0)?"":"SAME");
+ hist1->Fit("pol0", "0");
+ //hist1->Fit("pol0");
+ histList[i] = hist1;
+ legend->AddEntry(hist1, Form("Step %d", stepListNames[i]), "P");
+ }
+
+ legend->Draw();
+
+ new TCanvas;
+ legend = new TLegend(0.65, 0.45, 0.85, 0.85);
+ legend->SetTextSize(0.04);
+ legend->SetFillColor(0);
+
+ for (Int_t i=1; i<nSteps; i++)
+ {
+ histList[i]->DrawCopy((i==1)?"":"SAME")->Divide(histList[i-1]);
+ legend->AddEntry(histList[i], Form("Step %d/%d", stepListNames[i], stepListNames[i-1]), "P");
+ }
+
+ legend->Draw();
+
+ new TCanvas;
+ for (Int_t i=0; i<nSteps; i++)
+ {
+ hist1 = histList[i];
+ func = new TF1("func", "[0]", -10, 10);
+ hist1->Fit(func, "0", "", 1, 2);
+ hist1->Add(func, -1);
+ hist1->DrawCopy((i==0)?"":"SAME");
+ }
+
+ legend->Draw();
+
+ new TCanvas;
+ for (Int_t i=1; i<nSteps; i++)
+ {
+ histList[i]->DrawCopy((i==1)?"":"SAME")->Divide(histList[i-1]);
+ }
+
+ legend->Draw();
+}
+
+void PtShift(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ new TCanvas;
+ gPad->SetLogy();
+
+ ptHist3 = h->GetCorrelationpT()->ProjectionY();
+ ptHist3->GetXaxis()->SetRangeUser(0, 20);
+ //ptHist3->Sumw2();
+
+ /*
+ func = new TF1("func", "[0]+[1]*x**[2]", 4, 20);
+ func->SetParLimits(2, -10, -1);
+ func->SetParameters(0, 1, -4);
+ ptHist3->Fit(func, "", "", 4, 20);
+
+ return;
+ */
+
+ ptHist3Shifted = (TH1*) ptHist3->Clone("ptHist3Shifted");
+ for (Int_t i=1; i<ptHist3Shifted->GetNbinsX(); i++)
+ //ptHist3Shifted->SetBinContent(i, ptHist3Shifted->GetBinContent(i+3));
+ ptHist3Shifted->SetBinContent(i, ptHist3Shifted->GetBinContent(1.1*i));
+
+ // 10% or 750 MeV
+
+ ptHist3Shifted->SetLineColor(2);
+
+ ptHist3->Rebin(2);
+ ptHist3Shifted->Rebin(2);
+
+ ptHist3->DrawCopy();
+ ptHist3Shifted->DrawCopy("SAME");
+
+ new TCanvas;
+ ptHist3->Divide(ptHist3Shifted);
+ ptHist3->Draw();
+
+ //ptHist3->Rebin(2); ptHist3->Scale(1.0 / 2);
+
+ gPad->SetGridx();
+ gPad->SetGridy();
+}
+
+void RAA(const char* fileName, const char* fileName2)
+{
+ loadlibs();
+
+ TH1* hist[2];
+
+ for (Int_t j=0; j<2; j++)
+ {
+ if (j == 0)
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ else
+ {
+ if (!fileName2)
+ break;
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName2);
+ }
+
+ ptHist3 = h->GetCorrelationpT()->ProjectionY(Form("proj1_%d", j), 1, 5);
+ ptHist3->GetXaxis()->SetRangeUser(0, 20);
+
+ //h->GetCentralityDistribution()->Draw(); new TCanvas;
+
+ Int_t nEvents = h->GetCentralityDistribution()->Integral(h->GetCentralityDistribution()->FindBin(0.01), h->GetCentralityDistribution()->FindBin(4.99));
+ Printf("%d", nEvents);
+ ptHist3->Scale(1.0 / 1.6 / TMath::TwoPi() / nEvents / ptHist3->GetBinWidth(1));
+
+ hist[j] = ptHist3;
+ }
+
+ new TCanvas;
+ hist[0]->DrawCopy("");
+ hist[1]->DrawCopy("SAME")->SetLineColor(2);
+ gPad->SetLogy();
+
+ new TCanvas;
+ hist[1]->Divide(hist[0]);
+ hist[1]->DrawCopy();
+
+ raa_central = ReadHepdata("raa_alice_central.txt", kFALSE, 3);
+ raa_central->SetMarkerStyle(20);
+ raa_central->Draw("PSAME");
+}
+
+void PtComparison(const char* fileName, const char* fileName2 = 0)
+{
+ loadlibs();
+
+ c = new TCanvas;
+ c2 = new TCanvas;
+
+ for (Int_t j=0; j<2; j++)
+ {
+ if (j == 0)
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ else
+ {
+ if (!fileName2)
+ break;
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName2);
+ }
+
+ //new TCanvas; h->GetCorrelationpT()->Draw("COLZ");
+
+ ptHist3 = h->GetCorrelationpT()->ProjectionY(Form("proj1_%d", j), 1, 5);
+ ptHist3->GetXaxis()->SetRangeUser(0, 20);
+
+ //h->GetCentralityDistribution()->Draw(); new TCanvas;
+
+ Int_t nEvents = h->GetCentralityDistribution()->Integral(h->GetCentralityDistribution()->FindBin(0.01), h->GetCentralityDistribution()->FindBin(4.99));
+ Printf("%d", nEvents);
+ ptHist3->Scale(1.0 / 1.6 / TMath::TwoPi() / nEvents / ptHist3->GetBinWidth(1));
+
+ //ptHist3->Scale(1690);
+ //ptHist3->Scale(1.0 / ptHist3->Integral(ptHist3->GetXaxis()->FindBin(1.01), ptHist3->GetNbinsX()) / 3 / 0.6);
+
+ for (Int_t i=2; i<ptHist3->GetNbinsX(); i++)
+ ptHist3->SetBinContent(i, ptHist3->GetBinContent(i) / ptHist3->GetBinCenter(i));
+ //ptHist3->SetBinContent(i, ptHist3->GetBinContent(i) / ptHist3->GetBinLowEdge(i));
+
+ //AliPWG0Helper::NormalizeToBinWidth(ptHist3);
+
+ c->cd();
+ ptHist3->SetLineStyle(j+1);
+ ptHist3->DrawCopy((j == 0) ? "HIST" : "HISTSAME")->SetLineColor(1);
+
+ centralPt = (TH1*) ptHist3->Clone();;
+
+ if (1)
+ {
+ ptHist3 = h->GetCorrelationpT()->ProjectionY(Form("proj2_%d", j), 71, 80);
+ ptHist3->GetXaxis()->SetRangeUser(0, 20);
+
+ Int_t nEvents = h->GetCentralityDistribution()->Integral(h->GetCentralityDistribution()->FindBin(70.01), h->GetCentralityDistribution()->FindBin(79.99));
+ ptHist3->Scale(1.0 / 1.6 / TMath::TwoPi() / nEvents / ptHist3->GetBinWidth(1));
+ //ptHist3->Scale(10.0 / ptHist3->Integral(ptHist3->GetXaxis()->FindBin(1.01), ptHist3->GetNbinsX()) / 3 / 0.6);
+ Printf("%d", nEvents);
+
+ for (Int_t i=2; i<ptHist3->GetNbinsX(); i++)
+ ptHist3->SetBinContent(i, ptHist3->GetBinContent(i) / ptHist3->GetBinCenter(i));
+ //ptHist3->SetBinContent(i, ptHist3->GetBinContent(i) / ptHist3->GetBinLowEdge(i));
+ }
+
+ ptHist3->SetLineStyle(j+1);
+ ptHist3->DrawCopy("HISTSAME")->SetLineColor(2);
+
+ dndpt_central = ReadHepdata("raa_dndpt_central.txt", kFALSE, 3);
+ dndpt_peripheral = ReadHepdata("raa_dndpt_peripheral.txt", kFALSE, 3);
+
+// RemovePointsBelowX(dndpt_central, 1);
+// RemovePointsBelowX(dndpt_peripheral, 1);
+//
+// NormalizeTo(dndpt_central, 1);
+// NormalizeTo(dndpt_peripheral, 10);
+
+ dndpt_central->Draw("*SAME");
+ dndpt_peripheral->SetLineColor(2);
+ dndpt_peripheral->SetMarkerColor(2);
+ dndpt_peripheral->Draw("*SAME");
+
+ gPad->SetLogy();
+
+ c2->cd();
+
+ for (Int_t i=1; i<ptHist3->GetNbinsX(); i++)
+ ptHist3->SetBinContent(i, ptHist3->GetBinContent(i) / dndpt_peripheral->Eval(ptHist3->GetBinCenter(i)));
+
+ for (Int_t i=1; i<centralPt->GetNbinsX(); i++)
+ centralPt->SetBinContent(i, centralPt->GetBinContent(i) / dndpt_central->Eval(centralPt->GetBinCenter(i)));
+
+ ptHist3->Rebin(2); ptHist3->Scale(0.5);
+ centralPt->Rebin(2); centralPt->Scale(0.5);
+
+ ptHist3->DrawCopy((j == 0) ? "" : "SAME")->SetLineColor(2);
+ centralPt->DrawCopy("SAME")->SetLineColor(1);
+ }
+
+ return;
+
+ ReadYields("preliminaries/yields_110303.root");
+
+ ptHist3->Scale(100);
+
+ TGraphErrors** tmp = yields[0][1][0];
+ nearSide = tmp[18];
+ nearSide->Draw("* SAME");
+
+ TGraphErrors** tmp = yields[1][1][0];
+ awaySide = tmp[18];
+ awaySide->SetLineColor(2);
+ awaySide->SetMarkerColor(2);
+ awaySide->Draw("* SAME");
+
+}
+
+void style(Int_t styleId = 1)
+{
+ gStyle->SetPalette(1);
+ gStyle->SetCanvasColor(10);
+ gStyle->SetHistFillColor(10);
+ gStyle->SetHistFillStyle(0);
+ gStyle->SetOptStat(0);
+ gStyle->SetPadTickX(1);
+ gStyle->SetPadTickY(1);
+ gStyle->SetAxisColor(1, "X");
+ gStyle->SetAxisColor(1, "Y");
+ gStyle->SetAxisColor(1, "Z");
+ gStyle->SetLabelColor(1, "X");
+ gStyle->SetLabelColor(1, "Y");
+ gStyle->SetLabelColor(1, "Z");
+ gStyle->SetTickLength(0.03, "X");
+ gStyle->SetTickLength(0.03, "Y");
+ gStyle->SetTickLength(0.03, "Z");
+ gStyle->SetTitleXSize(0.05);
+ gStyle->SetTitleYSize(0.05);
+ gStyle->SetNdivisions(506, "X");
+ gStyle->SetNdivisions(506, "Y");
+ gStyle->SetNdivisions(506, "Z");
+
+ //gStyle->SetPadGridX(1);
+ //gStyle->SetPadGridY(1);
+
+ //gStyle->SetLabelOffset(0.02, "X");
+ //gStyle->SetLabelOffset(0.02, "Y");
+ //gStyle->SetLabelOffset(0.02, "Z");
+ gStyle->SetLabelSize(0.05, "X");
+ gStyle->SetLabelSize(0.05, "Y");
+ gStyle->SetLabelSize(0.05, "Z");
+
+ gStyle->SetPadLeftMargin(0.12);
+ gStyle->SetPadRightMargin(0.02);
+ gStyle->SetPadBottomMargin(0.13);
+ gStyle->SetPadTopMargin(0.02);
+
+ gStyle->SetMarkerSize(1.4); // CKB
+
+ const int iFont = 42; // type * 10 + prec 6: helvetica bold 13: times normal 2: times bold
+
+/* italic weigth
+*-* 1 : times-medium-i-normal "Times New Roman" 1 4
+*-* 2 : times-bold-r-normal "Times New Roman" 0 7
+*-* 3 : times-bold-i-normal "Times New Roman" 1 7
+*-* 4 : helvetica-medium-r-normal "Arial" 0 4
+*-* 5 : helvetica-medium-o-normal "Arial" 1 4
+*-* 6 : helvetica-bold-r-normal "Arial" 0 7
+*-* 7 : helvetica-bold-o-normal "Arial" 1 7
+*-* 8 : courier-medium-r-normal "Courier New" 0 4
+*-* 9 : courier-medium-o-normal "Courier New" 1 4
+*-* 10 : courier-bold-r-normal "Courier New" 0 7
+*-* 11 : courier-bold-o-normal "Courier New" 1 7
+*-* 12 : symbol-medium-r-normal "Symbol" 0 6
+*-* 13 : times-medium-r-normal "Times New Roman" 0 4
+*-* 14 : "Wingdings" 0 4
+*/
+
+ //gStyle->SetTitleXOffset(1); // 1.1
+ //gStyle->SetTitleYOffset(1); // 1-4
+
+ gStyle->SetLabelFont(iFont, "xyz");
+ gStyle->SetStatFont(iFont);
+ gStyle->SetTitleFont(iFont, "xyz");
+ gStyle->SetTextFont(iFont);
+
+ if (styleId == 2)
+ {
+ gStyle->SetLabelSize(0.07, "X");
+ gStyle->SetLabelSize(0.07, "Y");
+ gStyle->SetLabelSize(0.07, "Z");
+ gStyle->SetTitleXSize(0.07);
+ gStyle->SetTitleYSize(0.07);
+
+ gStyle->SetPadLeftMargin(0.26);
+ gStyle->SetPadRightMargin(0.01);
+ gStyle->SetPadBottomMargin(0.15);
+ gStyle->SetPadTopMargin(0.01);
+ }
+
+ //gStyle->SetEndErrorSize(0.0);
+
+ gROOT->ForceStyle();
+
+}
+
+void NormalizeTo(TGraphErrors* graph, Float_t normalizeTo)
+{
+ Float_t sum = 0;
+ for (Int_t i=0; i<graph->GetN(); i++)
+ sum += graph->GetY()[i];
+
+ if (normalizeTo > 0 && sum > 0)
+ {
+ sum /= normalizeTo;
+ for (Int_t i=0; i<graph->GetN(); i++)
+ {
+ graph->SetPoint(i, graph->GetX()[i], graph->GetY()[i] / sum);
+ graph->SetPointError(i, graph->GetEX()[i], graph->GetEY()[i] / sum);
+ }
+ }
+}
+
+void CompareMixedEvent(const char* fileName)
+{
+ loadlibs();
+
+ Float_t leadingPtArr[] = { 6.0, 8.0, 10.0, 15.0, 15.0 };
+ Float_t assocPtArr[] = { 0.5, 1.5, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ Int_t leadingPtOffset = 2;
+ Int_t centralityBins[] = { 0, 0, 1, 6, 9, 16 };
+
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ Int_t i = 1;
+ for (Int_t j=2; j<5; j++)
+ {
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+ gpTMin = 3.0;
+ gpTMax = 6.0;
+
+ SetupRanges(hMixed);
+
+ TH2* mixed = hMixed->GetUEHist(2)->GetUEHist(6, 0, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, centralityBins[j], centralityBins[j+1]-1, 1);
+
+ // compare deta
+
+ TH1* histMixedproj = mixed->ProjectionY();
+ histMixedproj->Scale(1.0 / mixed->GetNbinsX());
+
+ for (Int_t x=1; x<=mixed->GetNbinsX(); x++)
+ for (Int_t y=1; y<=mixed->GetNbinsY(); y++)
+ mixed->SetBinContent(x, y, histMixedproj->GetBinContent(y));
+
+ histMixedproj->Scale(1.0 / (0.5 * (histMixedproj->GetBinContent(histMixedproj->GetXaxis()->FindBin(-0.01)) + histMixedproj->GetBinContent(histMixedproj->GetXaxis()->FindBin(0.01)))));
+
+ histMixedproj->DrawCopy((j == 2) ? "" : "SAME")->SetLineColor(j-1);
+ }
+}
+
+void FillParentTHnSparse(const char* fileName, Bool_t reduce = kFALSE, const char* tag = "")
+{
+ if (TString(fileName).BeginsWith("alien:"))
+ TGrid::Connect("alien:");
+
+ loadlibs();
+
+ TList* list = 0;
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, &list, kFALSE, tag);
+ Printf("We have %d axes", ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0)->GetNVar()));
+
+ if (reduce)
+ ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->ReduceAxis();
+ ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->FillParent();
+ ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->DeleteContainers();
+
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE, tag);
+ if (reduce)
+ ((AliTHn*) hMixed->GetUEHist(2)->GetTrackHist(0))->ReduceAxis();
+ ((AliTHn*) hMixed->GetUEHist(2)->GetTrackHist(0))->FillParent();
+ ((AliTHn*) hMixed->GetUEHist(2)->GetTrackHist(0))->DeleteContainers();
+
+ TString newFileName(fileName);
+
+ if (TString(fileName).BeginsWith("alien:"))
+ newFileName = gSystem->BaseName(newFileName);
+
+ newFileName.ReplaceAll(".root", "");
+ if (reduce)
+ newFileName += "_.root";
+ else
+ newFileName += "_zvtx.root";
+
+ file3 = TFile::Open(newFileName, "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+}
+
+void CompareZVertex(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ axis = h->GetUEHist(2)->GetEventHist()->GetAxis(2, 6);
+
+ gpTMin = 2.01;
+ gpTMax = 7.99;
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TFile::Open("test.root", "RECREATE");
+
+ for (Int_t i=0; i<=axis->GetNbins(); i++)
+ {
+ TH1* hist = 0;
+ if (i > 0)
+ {
+ Printf("%d %f %f", i, axis->GetBinLowEdge(i) + 0.01, axis->GetBinUpEdge(i) - 0.01);
+ h->SetZVtxRange(axis->GetBinLowEdge(i) + 0.01, axis->GetBinUpEdge(i) - 0.01);
+ hMixed->SetZVtxRange(axis->GetBinLowEdge(i) + 0.01, axis->GetBinUpEdge(i) - 0.01);
+ }
+
+ GetDistAndFlow(h, hMixed, &hist, 0, 6, 0, 10, 2.01, 14.99, 1, kTRUE, 0, kFALSE);
+
+ new TCanvas;
+ hist->DrawCopy("SURF1");
+
+ hist->Write(Form("detadphi_%d", i));
+
+// if (i == 0) break;
+
+ continue;
+
+ hist->SetLineColor(i+1);
+ hist->Scale(1.0 / hist->Integral() / hist->GetBinWidth(1));
+ hist->Draw((i == 0) ? "" : "SAME");
+ }
+
+ gFile->Close();
+}
+
+void DrawZRanges(Float_t min, Float_t max)
+{
+ legend = new TLegend(0.5, 0.5, 0.8, 0.8);
+
+ TFile::Open("test.root");
+
+ for (Int_t i=0; i<8; i++)
+ {
+ if (i == 1 || i == 7)
+ continue;
+
+ hist = (TH2*) gFile->Get(Form("detadphi_%d", i));
+ hist->Rebin2D(2, 2);
+ hist->Scale(0.25);
+
+ proj = hist->ProjectionY("proj", hist->GetXaxis()->FindBin(min), hist->GetXaxis()->FindBin(max));
+ proj->Scale(1.0 / (hist->GetXaxis()->FindBin(max) - hist->GetXaxis()->FindBin(min) + 1));
+
+ proj->SetLineColor(i+1);
+ proj->DrawCopy((i == 0) ? "" : "SAME HIST");
+
+ legend->AddEntry(proj->Clone(), Form("%d", i));
+ }
+
+ legend->Draw();
+}
+
+void PlotTrackingEfficiency(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ c = new TCanvas("c", "c", 600, 600);
+ gPad->SetLeftMargin(0.15);
+
+ h->SetEtaRange(-0.89, 0.89);
+
+ Float_t centralityBins[] = { 0, 10, 20, 40, 60, 100 };
+ Int_t nCentralityBins = 5;
+
+ legend = new TLegend(0.2, 0.15, 0.46, 0.42);
+ legend->SetFillColor(0);
+
+ Int_t colors[] = { 1, 2, 3, 4, 6 };
+
+ for (Int_t i=0; i<nCentralityBins; i++)
+ {
+ h->GetUEHist(2)->SetCentralityRange(centralityBins[i] + 0.1, centralityBins[i+1] - 0.1);
+ proj = h->GetUEHist(2)->GetTrackingEfficiency(1);
+ proj->GetYaxis()->SetRangeUser(0.7, 0.9);
+ proj->GetXaxis()->SetRangeUser(0.5, 9.9);
+ proj->GetYaxis()->SetTitleOffset(1.5);
+ proj->SetTitle("");
+ proj->GetYaxis()->SetTitle("Tracking efficiency");
+ proj->SetMarkerColor(colors[i]);
+ proj->SetLineColor(colors[i]);
+ proj->SetStats(0);
+ projClone = proj->DrawClone((i == 0) ? "" : "SAME");
+
+ legend->AddEntry(projClone, Form("%.0f-%.0f%%", centralityBins[i], centralityBins[i+1]));
+ }
+
+ legend->Draw();
+// DrawLatex(0.58, 0.85, 1, "HIJING Pb-Pb 2.76 TeV", 0.03);
+// DrawLatex(0.58, 0.81, 1, "|#eta| < 0.9", 0.03);
+//
+// DrawALICELogo(kFALSE, 0.7, 0.2, 0.9, 0.4);
+
+ c->SaveAs("correction_tracking.eps");
+
+ c = new TCanvas("c2", "c2", 600, 600);
+ gPad->SetLeftMargin(0.15);
+
+ proj = (TH1D*) h->GetUEHist(2)->GetTrackEfficiency(AliUEHist::kCFStepTracked, AliUEHist::kCFStepTrackedOnlyPrim, 1);
+ proj->GetYaxis()->SetRangeUser(0.8, 1.0);
+ proj->GetXaxis()->SetRangeUser(0.5, 9.9);
+ proj->GetYaxis()->SetTitleOffset(1.5);
+ proj->SetTitle("");
+ proj->GetYaxis()->SetTitle("contamination correction");
+ proj->SetStats(0);
+ projClone = proj->DrawClone("");
+
+// DrawLatex(0.58, 0.85, 1, "HIJING Pb-Pb 2.76 TeV", 0.03);
+// DrawLatex(0.58, 0.81, 1, "|#eta| < 0.9", 0.03);
+// DrawALICELogo(kFALSE, 0.7, 0.2, 0.9, 0.4);
+
+ c->SaveAs("correction_contamination.eps");
+
+ c = new TCanvas("c3", "c3", 600, 600);
+ gPad->SetLeftMargin(0.15);
+
+ proj = (TH1D*) h->GetUEHist(2)->GetTrackEfficiency(AliUEHist::kCFStepTrackedOnlyPrim, AliUEHist::kCFStepTracked, 1);
+ proj->GetYaxis()->SetRangeUser(0.95, 1.15);
+ proj->GetXaxis()->SetRangeUser(0.5, 9.9);
+ proj->GetYaxis()->SetTitleOffset(1.5);
+ proj->SetTitle("");
+ proj->GetYaxis()->SetTitle("contamination");
+ proj->SetStats(0);
+ projClone = proj->DrawClone("");
+
+// DrawLatex(0.58, 0.85, 1, "HIJING Pb-Pb 2.76 TeV", 0.03);
+// DrawLatex(0.58, 0.81, 1, "|#eta| < 0.9", 0.03);
+// DrawALICELogo(kFALSE, 0.7, 0.2, 0.9, 0.4);
+
+ c->SaveAs("contamination.eps");
+}
+
+void PlotCorrections(const char* fileName, const char* tag = "")
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, 0, kFALSE, tag);
+
+ c = new TCanvas("c", "c", 1200, 800);
+ c->Divide(3, 3);
+
+ c2 = new TCanvas("c2", "c2", 800, 600);
+ c2->Divide(2, 2);
+
+ h->SetEtaRange(-0.89, 0.89);
+// h->SetEtaRange(-1.19, 1.19);
+
+ Float_t centrBins[] = { 0, 20, 40, 60, 100.1 };
+
+ for (Int_t i=0; i<4; i++)
+ {
+ h->GetUEHist(2)->SetCentralityRange(centrBins[i] + 0.1, centrBins[i+1] - 0.1);
+ c->cd(i+1);
+ h->GetUEHist(2)->GetTrackingEfficiency()->DrawClone("COLZ");
+
+ c2->cd(1);
+ proj = h->GetUEHist(2)->GetTrackingEfficiency(1);
+ proj->SetTitle(""); proj->SetStats(0);
+ proj->GetYaxis()->SetTitle("tracking efficiency");
+ proj->SetLineColor(i+1);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+
+ c2->cd(2);
+ proj = h->GetUEHist(2)->GetTrackingEfficiency(0);
+ proj->GetYaxis()->SetTitle("tracking efficiency");
+ proj->SetTitle(""); proj->SetStats(0);
+ proj->GetXaxis()->SetTitle("#eta");
+ proj->SetLineColor(i+1);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+
+ c2->cd(3);
+ proj = h->GetUEHist(2)->GetTrackingContamination(1);
+ proj->GetYaxis()->SetTitle("contamination correction");
+ proj->SetTitle(""); proj->SetStats(0);
+ proj->SetLineColor(i+1);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+// return;
+ }
+
+ h->GetUEHist(2)->SetCentralityRange(0, -1);
+ for (Int_t i=0; i<10; i++)
+ {
+ c2->cd(4);
+ h->SetZVtxRange(-10.0 + 2 * i, -8.0 + 2 * i);
+ proj = h->GetUEHist(2)->GetTrackingEfficiency(0);
+ proj->GetYaxis()->SetTitle("tracking efficiency");
+ proj->SetTitle(""); proj->SetStats(0);
+ proj->GetXaxis()->SetTitle("#eta");
+ proj->SetLineColor(i+1);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+ }
+
+ h->SetZVtxRange(0, -1);
+
+/* c->cd(9);
+ h->GetUEHist(2)->GetTrackingContamination()->Draw("COLZ");*/
+
+ proj2 = h->GetUEHist(2)->GetTrackingEfficiency(1);
+// proj2 = h->GetUEHist(2)->GetTrackEfficiency(AliUEHist::kCFStepAnaTopology, (AliUEHist::CFStep) (AliUEHist::kCFStepTrackedOnlyPrim+2), 1);
+ new TCanvas;
+ proj2->Draw();
+
+ return;
+
+ new TCanvas;
+ hist = h->GetUEHist(2)->GetCorrelatedContamination();
+// if (hist->GetEntries() > 0)
+// hist->Draw("COLZ");
+}
+
+void SaveEfficiencyCorrection(const char* fileName, const char* tag = "", Bool_t condenseCentrality = kTRUE, Bool_t extrapolateHighpT = kFALSE, Int_t partSpecies=-1, Int_t icharge=0, Bool_t ApplyGFCorrection=0, Int_t year=2013)
+{
+ // partSpecies= -1 No PID, 0: Pions, 1: Kaons, 2: Hadrons
+ // icharge is needed because GF correction applies only to negative particles, 0:Positive 1:negative
+ // ApplyGFCorrection, for Geant3 version >= v1.14 this correction is not needed anymore for antiprotons
+ // the number of TRD modules installed depends on the year
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, 0, kFALSE, tag);
+
+ if(partSpecies!=-1){
+ Double_t epsilon=0.001;
+ h->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(0)->GetGrid()->GetAxis(2)->SetRangeUser(partSpecies-epsilon,partSpecies+epsilon);
+ h->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(4)->GetGrid()->GetAxis(2)->SetRangeUser(partSpecies-epsilon,partSpecies+epsilon);
+ }
+
+ Int_t dimensions[] = { 0, 1, 3, 4 }; // eta, pT, centrality, vertex
+ THnBase* generated = h->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(0)->GetGrid()->ProjectionND(4, dimensions);
+ THnBase* measured = h->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid((partSpecies==-1)?2:4)->GetGrid()->ProjectionND(4, dimensions); //for ID particle the matched+identified are taken
+
+ // new TCanvas; measured->Projection(0, 1, 3)->Draw();
+
+ Printf("%f %f", generated->GetEntries(), measured->GetEntries());
+
+ Int_t nBins[] = { generated->GetAxis(0)->GetNbins(), generated->GetAxis(1)->GetNbins(), 1, generated->GetAxis(3)->GetNbins() };
+
+ if (condenseCentrality)
+ {
+ Double_t centrAxis[] = { 0, 101 };
+ }
+ else
+ {
+ Double_t centrAxis[] = { 0, 10, 20, 40, 60, 101 };
+ nBins[2] = 5;
+ }
+
+ generated_new = new THnF("generated_new", "", 4, nBins, 0, 0);
+
+ generated_new->SetBinEdges(0, generated->GetAxis(0)->GetXbins()->GetArray()); //eta
+ generated_new->SetBinEdges(1, generated->GetAxis(1)->GetXbins()->GetArray()); //pT
+ generated_new->SetBinEdges(2, centrAxis); //centrality
+ generated_new->SetBinEdges(3, generated->GetAxis(3)->GetXbins()->GetArray()); //vertex
+
+ for (Int_t i=0; i<4; i++)
+ generated_new->GetAxis(i)->SetTitle(generated->GetAxis(i)->GetTitle());
+
+ measured_new = (THnF*) generated_new->Clone("measured_new");
+ effCorr = (THnF*) generated_new->Clone("correction");
+
+ generated_new->RebinnedAdd(generated);
+ measured_new->RebinnedAdd(measured);
+
+// new TCanvas; measured_new->Projection(0, 1, 3)->Draw();
+
+// return;
+
+ Printf("%f %f", generated_new->GetEntries(), measured_new->GetEntries());
+
+ effCorr->Divide(generated_new, measured_new, 1, 1, "B");
+// effCorr->Divide(measured_new);
+
+ if(ApplyGFCorrection && partSpecies!=-1){//define the functions for the GF correction
+ TF1 *fGFTracking;
+ TF1 *fGFMatching;
+ Int_t ntrd=7;
+ if(year==2011)ntrd=10;
+ if(year>=2012)ntrd=13;
+ Printf("Number of TRD module in %d : %d",year,ntrd);
+ Printf("Applying GF correction for particle specie %d %s",partSpecies,Sign[icharge].Data());
+ Int_t partSpeciesAliPID=partSpecies+2; //in AliPID 2: Pions 3:Kaons 4:protons
+ fGFTracking = TrackingEff_geantflukaCorrection(partSpeciesAliPID,(icharge==0)?kPositive:kNegative);
+ fGFMatching = TOFmatchMC_geantflukaCorrection(partSpeciesAliPID,(icharge==0)?kPositive:kNegative,ntrd);
+ TCanvas *cGF=new TCanvas("cGF","cGF");
+ fGFTracking->SetLineColor(1);
+ fGFTracking->DrawClone();
+ fGFMatching->DrawClone("same");
+ gPad->BuildLegend();
+ }
+
+ Double_t maxEffValue=5;
+ for (Int_t bin0 = 1; bin0<=effCorr->GetAxis(0)->GetNbins(); bin0++)
+ for (Int_t bin1 = 1; bin1<=effCorr->GetAxis(1)->GetNbins(); bin1++)
+ for (Int_t bin2 = 1; bin2<=effCorr->GetAxis(2)->GetNbins(); bin2++)
+ for (Int_t bin3 = 1; bin3<=effCorr->GetAxis(3)->GetNbins(); bin3++)
+ {
+ nBins[0] = bin0;
+ nBins[1] = bin1;
+ nBins[2] = bin2;
+ nBins[3] = bin3;
+
+// Printf("%d %d %d %d %.2f %.2f %.2f %.2f is %f", bin0, bin1, bin2, bin3, effCorr->GetAxis(0)->GetBinCenter(bin0), effCorr->GetAxis(1)->GetBinCenter(bin1), effCorr->GetAxis(2)->GetBinCenter(bin2), effCorr->GetAxis(3)->GetBinCenter(bin3), effCorr->GetBinContent(nBins));
+ if(ApplyGFCorrection && partSpecies!=-1)
+ {
+ if(effCorr->GetBinContent(nBins) > 0)
+ {
+ Double_t pt=effCorr->GetAxis(1)->GetBinCenter(bin1);
+ Double_t GFTracking=fGFTracking->Eval(pt);
+ Double_t GFMatching=fGFMatching->Eval(pt);
+ //printf("pt: %.3f GFCorrectionTracking: %f GFCorrectionMatching: %f",pt,GFTracking,GFMatching);
+ //printf(" Eff before: %f",effCorr->GetBinContent(nBins));
+ effCorr->SetBinContent(nBins,effCorr->GetBinContent(nBins)*GFTracking*GFMatching);
+ //Printf(" Eff after: %f",effCorr->GetBinContent(nBins));
+ }
+ }
+
+ if (effCorr->GetBinContent(nBins) > maxEffValue)
+ {
+ Printf("Nulling %d %d %d %d %.2f %.2f %.2f %.2f which was %f", bin0, bin1, bin2, bin3, effCorr->GetAxis(0)->GetBinCenter(bin0), effCorr->GetAxis(1)->GetBinCenter(bin1), effCorr->GetAxis(2)->GetBinCenter(bin2), effCorr->GetAxis(3)->GetBinCenter(bin3), effCorr->GetBinContent(nBins));
+ effCorr->SetBinContent(nBins, 0);
+ }
+
+
+ }
+
+ const Float_t fitRangeBegin = 5.01;
+ const Float_t fitRangeEnd = 14.99;
+ const Float_t extendRangeBegin = 8.01;
+ Bool_t verbose = kTRUE;
+
+ if (extrapolateHighpT)
+ {
+ Printf("Extrapolating high pT...");
+
+ for (Int_t bin0 = 1; bin0<=effCorr->GetAxis(0)->GetNbins(); bin0++)
+ for (Int_t bin2 = 1; bin2<=effCorr->GetAxis(2)->GetNbins(); bin2++)
+ for (Int_t bin3 = 1; bin3<=effCorr->GetAxis(3)->GetNbins(); bin3++)
+ {
+ effCorr->GetAxis(0)->SetRange(bin0, bin0);
+ effCorr->GetAxis(2)->SetRange(bin2, bin2);
+ effCorr->GetAxis(3)->SetRange(bin3, bin3);
+
+ if (gRandom->Uniform() < 0.02) verbose = kTRUE;
+
+ proj = effCorr->Projection(1);
+
+ if (proj->Integral(proj->FindBin(fitRangeBegin), proj->FindBin(fitRangeEnd)) <= 0)
+ continue;
+
+// Printf("%d %d %d %d %f", bin0, bin1, bin2, bin3, proj->Integral(proj->FindBin(fitRangeBegin), proj->FindBin(fitRangeEnd)));
+
+ if (verbose)
+ {
+ new TCanvas;
+ proj->Draw();
+ }
+
+ proj->Fit("pol0", (verbose) ? "+" : "Q0+", "SAME", fitRangeBegin, fitRangeEnd);
+
+ if (!proj->GetFunction("pol0"))
+ continue;
+
+ Float_t trackingEff = proj->GetFunction("pol0")->GetParameter(0);
+
+ for (Int_t bin1 = 1; bin1<=effCorr->GetAxis(1)->GetNbins(); bin1++)
+ {
+ if (effCorr->GetAxis(1)->GetBinCenter(bin1) < extendRangeBegin)
+ continue;
+
+ nBins[0] = bin0;
+ nBins[1] = bin1;
+ nBins[2] = bin2;
+ nBins[3] = bin3;
+
+// Printf("Setting %d %d %d %d %.2f %.2f %.2f %.2f to %f which was %f", bin0, bin1, bin2, bin3, effCorr->GetAxis(0)->GetBinCenter(bin0), effCorr->GetAxis(1)->GetBinCenter(bin1), effCorr->GetAxis(2)->GetBinCenter(bin2), effCorr->GetAxis(3)->GetBinCenter(bin3), trackingEff, effCorr->GetBinContent(nBins));
+ effCorr->SetBinContent(nBins, trackingEff);
+ }
+
+ if (verbose)
+ verbose = kFALSE;
+ }
+
+ effCorr->GetAxis(0)->UnZoom();
+ effCorr->GetAxis(1)->UnZoom();
+ effCorr->GetAxis(2)->UnZoom();
+ effCorr->GetAxis(3)->UnZoom();
+ }
+
+ Printf("%f", effCorr->GetEntries());
+
+ TObjString tag2(Form("corrections from file %s", fileName));
+
+ file = TFile::Open("correction.root", "RECREATE");
+ effCorr->Write();
+ tag2.Write();
+ file->Close();
+
+ new TCanvas;
+ effCorr->GetAxis(0)->SetRangeUser(-0.49, 0.49);
+ effCorr->GetAxis(2)->SetRangeUser(65, 65);
+ effCorr->GetAxis(3)->SetRangeUser(0.01, 0.01);
+ effCorr->Projection(1)->Draw();
+}
+
+void CompareEfficiencyCorrection(const char* fileName1, const char* fileName2, Int_t axis1, Int_t axis2)
+{
+ if (TString(fileName1).BeginsWith("alien") || TString(fileName2).BeginsWith("alien"))
+ TGrid::Connect("alien:");
+
+ file1 = TFile::Open(fileName1);
+ corr1 = (THnBase*) file1->Get("correction");
+
+ file2 = TFile::Open(fileName2);
+ corr2 = (THnBase*) file2->Get("correction");
+
+ corr1->GetAxis(0)->SetRangeUser(-1.19, 1.19);
+ corr2->GetAxis(0)->SetRangeUser(-1.19, 1.19);
+ corr1->GetAxis(1)->SetRangeUser(0.51, 3.99);
+ corr2->GetAxis(1)->SetRangeUser(0.51, 3.99);
+ corr1->GetAxis(3)->SetRangeUser(0.01, 0.01);
+ corr2->GetAxis(3)->SetRangeUser(0.01, 0.01);
+
+ proj1 = (TH1*) corr1->Projection(axis1, axis2)->Clone("proj1");
+ new TCanvas; proj1->DrawCopy("COLZ");
+
+ proj2 = (TH1*) corr2->Projection(axis1, axis2)->Clone("proj2");
+ new TCanvas; proj2->DrawCopy("COLZ");
+
+ proj1->Divide(proj2);
+ new TCanvas; proj1->DrawCopy("COLZ");
+
+ corr1->GetAxis(0)->SetRangeUser(-0.49, 0.49);
+ corr2->GetAxis(0)->SetRangeUser(-0.49, 0.49);
+
+ proj1 = (TH1*) corr1->Projection(axis2)->Clone("proj3");
+ new TCanvas; proj1->DrawCopy();
+
+ proj2 = (TH1*) corr2->Projection(axis2)->Clone("proj4");
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ proj1->Divide(proj2);
+ new TCanvas; proj1->DrawCopy();
+
+}
+
+
+void PlotFake(const char* fileName, const char* fileName2 = 0)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ if (fileName2) AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+
+ TLegend* legend = new TLegend(0.7, 0.8, 0.95, 0.95);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.03);
+ const char* title[] = {"0-20%", "20-40%", "40-60%", "60-80%", "80-100%"};
+ TLegend* legend2 = new TLegend(0.7, 0.8, 0.95, 0.95);
+ legend2->SetFillColor(0);
+ legend2->SetTextSize(0.03);
+
+ c1 = new TCanvas("c1", "Ratio of fakes", 1200, 800);
+ c1->Divide(2, 3);
+ c2 = new TCanvas("c2", "pTrec vs pT", 1200, 800);
+ c2->Divide(2, 3);
+ c3 = new TCanvas("c3", "pTrec pT ratio", 1200, 800);
+ c3->Divide(2, 3);
+
+ h->SetEtaRange(-0.79, 0.79);
+
+ for (Int_t i=0; i<5; i++)
+ {
+// h->GetUEHist(2)->SetCentralityRange(100.0/5*i + 0.1, 100.0/5*(i+1) - 0.1);
+ h->GetUEHist(2)->SetCentralityRange(0, 100);
+ c1->cd(i+1);
+ h->GetUEHist(2)->GetFakeRate()->DrawClone("COLZ");
+ c1->cd(6);
+ proj = h->GetUEHist(2)->GetFakeRate(1);
+ proj->GetYaxis()->SetRangeUser(0,150);
+ proj->SetLineColor((i==4) ? 6 : i+1);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+ legend->AddEntry(proj, title[i] , "PL");
+ }
+
+ legend->Draw();
+
+ c2->cd(1);
+ h->GetUEHist(2)->GetMCRecoPtCorrelation()->GetXaxis()->SetTitle("p_{T,rec}");
+ h->GetUEHist(2)->GetMCRecoPtCorrelation()->GetYaxis()->SetTitle("p_{T}");
+ h->GetUEHist(2)->GetMCRecoPtCorrelation()->GetZaxis()->SetTitle("Centrality");
+ h->GetUEHist(2)->GetMCRecoPtCorrelation()->DrawCopy();
+
+ Float_t difference = 0.05;
+
+ for (Int_t i=0; i<5; i++)
+ {
+ c2->cd(i+2);
+ h->GetUEHist(2)->GetMCRecoPtCorrelation()->GetZaxis()->SetRangeUser(100.0/5*i + 0.1,100.0/5*(i+1) - 0.1);
+ hist = h->GetUEHist(2)->GetMCRecoPtCorrelation()->Project3D("yx");
+ hist->DrawClone("COLZ");
+ c2->cd(i+2)->SetLogz();
+ c3->cd(i+1);
+ TH1* MisreconstructedPtRate = h->GetUEHist(2)->GetMCRecoPtCorrelation()->ProjectionX("MisreconstructedPtRate");
+ MisreconstructedPtRate->Reset();
+ MisreconstructedPtRate->GetYaxis()->SetRangeUser(0,1);
+
+ for (Int_t x=0; x<=hist->GetNbinsX(); x++)
+ {
+ Float_t ptRec = hist->GetXaxis()->GetBinCenter(x);
+ Float_t Misreconstructed = 0;
+ Float_t Reconstructed = 0;
+ for (Int_t y=0; y<=hist->GetNbinsY(); y++)
+ {
+ Float_t pt = hist->GetYaxis()->GetBinCenter(y);
+ Reconstructed += hist->GetBinContent(x,y);
+ if (TMath::Abs(ptRec-pt)/pt > difference)
+ Misreconstructed += hist->GetBinContent(x,y);
+ }
+ if (Reconstructed!=0) MisreconstructedPtRate->Fill(ptRec,Misreconstructed/Reconstructed);
+ }
+ MisreconstructedPtRate->SetLineColor((i==4) ? 6 : i+1);
+ MisreconstructedPtRate->DrawClone();
+ if (i==0) legend2->AddEntry(MisreconstructedPtRate, "2010" , "L");
+ c3->cd(6);
+ MisreconstructedPtRate->DrawClone((i == 0) ? "" : "SAME");
+ if (fileName2)
+ {
+ h2->GetUEHist(2)->GetMCRecoPtCorrelation()->GetZaxis()->SetRangeUser(100.0/5*i + 0.1,100.0/5*(i+1) - 0.1);
+ hist = h2->GetUEHist(2)->GetMCRecoPtCorrelation()->Project3D("yx");
+ TH1* MisreconstructedPtRate2 = h2->GetUEHist(2)->GetMCRecoPtCorrelation()->ProjectionX("MisreconstructedPtRate2");
+ MisreconstructedPtRate2->Reset();
+ MisreconstructedPtRate2->GetYaxis()->SetRangeUser(0,1);
+ for (Int_t x=0; x<=hist->GetNbinsX(); x++)
+ {
+ Float_t ptRec = hist->GetXaxis()->GetBinCenter(x);
+ Float_t Misreconstructed = 0;
+ Float_t Reconstructed = 0;
+ for (Int_t y=0; y<=hist->GetNbinsY(); y++)
+ {
+ Float_t pt = hist->GetYaxis()->GetBinCenter(y);
+ Reconstructed += hist->GetBinContent(x,y);
+ if (TMath::Abs(ptRec-pt)/pt > difference)
+ Misreconstructed += hist->GetBinContent(x,y);
+ }
+ if (Reconstructed!=0) MisreconstructedPtRate2->Fill(ptRec,Misreconstructed/Reconstructed);
+ }
+ c3->cd(i+1);
+ MisreconstructedPtRate2->SetLineColor((i==2) ? 12 : i+8);
+ MisreconstructedPtRate2->DrawClone("SAME");
+ if (i==0) legend2->AddEntry(MisreconstructedPtRate2, "2011" , "L");
+ legend2->DrawClone();
+ }
+ }
+ c3->cd(6);
+ legend->Draw();
+}
+
+void CompareCorrections(const char* fileName1, const char* fileName2)
+{
+ loadlibs();
+
+ AliUEHistograms* h1 = (AliUEHistograms*) GetUEHistogram(fileName1);
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+
+ c = new TCanvas("c", "c", 1200, 800);
+
+ TLegend* legend = new TLegend(0.7, 0.8, 0.95, 0.95);
+ legend->SetFillColor(0);
+ legend->SetTextSize(0.03);
+
+ h1->SetEtaRange(-0.89, 0.89);
+ h2->SetEtaRange(-0.89, 0.89);
+
+
+// const char* title1[] = {"2010, 0-10%", "2010, 10-20%", "2010, 20-30%", "2010, 30-40%", "2010, 40-50%"};
+ const char* title1[] = {"FullTPC, 0-10%", "FullTPC, 10-20%", "FullTPC, 20-30%", "FullTPC, 30-40%", "FullTPC, 40-50%"};
+ const char* title1[] = {"FullTPC, 0-10%", "FullTPC, 10-20%", "FullTPC, 20-30%", "FullTPC, 30-40%", "FullTPC, 40-50%"};
+// const char* title2[] = {"2011, 0-10%", "2011, 10-20%", "2011, 20-30%", "2011, 30-40%", "2011, 40-50%"};
+ const char* title2[] = {"NotFullTPC, 0-10%", "NotFullTPC, 10-20%", "NotFullTPC, 20-30%", "NotFullTPC, 30-40%", "NotFullTPC, 40-50%"};
+
+ Int_t colors[16] = { 1, 3, 2, 6, 4, 7, 8, 9, 11, 12, 28, 30, 36, 40, 46 };
+ Int_t markers[16] = { 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 2, 5};
+
+ for (Int_t i=0; i<5; i++)
+ {
+ h1->GetUEHist(2)->SetCentralityRange(100.0/10*i + 0.1, 100.0/10*(i+1) - 0.1);
+ h2->GetUEHist(2)->SetCentralityRange(100.0/10*i + 0.1, 100.0/10*(i+1) - 0.1);
+
+ c->cd(1);
+ proj = h1->GetUEHist(2)->GetTrackingEfficiency(1);
+ proj->SetLineColor(colors[6]);
+ proj->SetMarkerColor(colors[6]);
+ proj->SetMarkerStyle(markers[i]);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+ legend->AddEntry(proj, title1[i] , "PL");
+
+ proj = h2->GetUEHist(2)->GetTrackingEfficiency(1);
+ proj->SetLineColor(colors[2]);
+ proj->SetMarkerColor(colors[2]);
+ proj->SetMarkerStyle(markers[i+5]);
+ proj->SetMarkerStyle(markers[i]);
+ proj->DrawClone("SAME");
+ legend->AddEntry(proj, title2[i] , "PL");
+ }
+
+ legend->Draw();
+}
+
+void ComparePPHIMixedEvent(const char* ppFile, const char* pbpbFile)
+{
+ loadlibs();
+
+ AliUEHistograms* hpp = (AliUEHistograms*) GetUEHistogram(ppFile);
+ AliUEHistograms* hpbpb = (AliUEHistograms*) GetUEHistogram(pbpbFile);
+
+ new TCanvas;
+ hpp->SetPtRange(2, 10);
+ ppEff = hpp->GetUEHist(2)->GetTrackingEfficiency(0);
+ ppEff->Draw();
+
+ hpbpb->SetPtRange(2, 10);
+ pbpbEff = hpbpb->GetUEHist(2)->GetTrackingEfficiency(0);
+ pbpbEff->DrawCopy("SAME")->SetLineColor(2);
+
+ new TCanvas;
+ ppEff2 = hpp->GetUEHist(2)->GetTrackingEfficiency(1);
+ ppEff2->Draw();
+
+ pbpbEff2 = hpbpb->GetUEHist(2)->GetTrackingEfficiency(1);
+ pbpbEff2->DrawCopy("SAME")->SetLineColor(2);
+
+ mixed = ComparePPHIMixedEventGetMixed(ppEff);
+ mixed2 = ComparePPHIMixedEventGetMixed(pbpbEff);
+
+ new TCanvas;
+ mixed->DrawCopy();
+ mixed2->DrawCopy("SAME")->SetLineColor(2);
+
+ new TCanvas;
+ mixed->Divide(mixed2);
+ mixed->Draw();
+}
+
+TH1* ComparePPHIMixedEventGetMixed(TH1* eff)
+{
+ eff->Fit("pol0", "0W");
+ Float_t avgEff = eff->GetFunction("pol0")->GetParameter(0);
+
+ eff->Fit("pol0", "0W", "", -0.89, 0.89);
+ Float_t avgEffCenter = eff->GetFunction("pol0")->GetParameter(0);
+ Printf("Avg is %f and avg in center is %f", avgEff, avgEffCenter);
+
+ TH1* mixed = new TH1F("mixed", "", 100, -2, 2);
+
+ Float_t etaLimit = 1.0;
+
+ Int_t n = 10000;
+ Int_t n2 = 100;
+ for (Int_t i=0; i<n; i++)
+ {
+ Float_t etaTrig = gRandom->Uniform(-etaLimit, etaLimit);
+
+ for (Int_t j=0; j<n2; j++)
+ {
+ Float_t etaAssoc = gRandom->Uniform(-etaLimit, etaLimit);
+
+ if (gRandom->Uniform(0, 1) > eff->GetBinContent(eff->FindBin(etaAssoc)))
+ continue;
+
+ mixed->Fill(etaTrig - etaAssoc);
+ }
+ }
+
+// mixed->Scale(1.0 / avgEffCenter);
+ mixed->Scale(1.0 / avgEff);
+
+ Printf("We have %f pairs and put in %d", mixed->Integral(), n*n2);
+
+ return mixed;
+}
+
+void MACHConeEvolution(const char* fileName, const char* fileNameMixed = 0)
+{
+ loadlibs();
+
+ if (!fileNameMixed)
+ fileNameMixed = fileName;
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileNameMixed, 0, kTRUE);
+
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 10.0, 20.0, 40.0 };
+ Float_t assocPtArr[] = { 1.0, 2.0, 3.0, 6.0, 10.0, 20.0, 40.0 };
+
+ Int_t i = 1;
+ Int_t step = 6;
+ Int_t j = 0;
+
+ gpTMin = assocPtArr[i] + 0.01;
+ gpTMax = assocPtArr[i+1] - 0.01;
+
+ for (Int_t centrBin = 0; centrBin < 5; centrBin++)
+ {
+ Int_t centralityBegin = centrBin;
+ Int_t centralityEnd = centrBin+1;
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist = 0;
+
+ Bool_t scaleToPairs = 0;
+
+ GetDistAndFlow(h, hMixed, &hist, 0, step, centralityBegin, centralityEnd, leadingPtArr[j] + 0.01, leadingPtArr[j+1] - 0.01, 11, kTRUE, 0, scaleToPairs);
+ hist->Rebin(2); hist->Scale(0.5);
+
+ copy = hist->DrawCopy((centrBin == 0) ? "" : "SAME");
+ copy->SetLineColor(centrBin+1);
+ }
+}
+
+void PlotTwoTrackEfficiencyControlPlots(const char* fileName)
+{
+ loadlibs();
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Float_t ptRange[] = { 0.0, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0 };
+
+ graph = new TGraphErrors;
+
+ for (Int_t ptID = 0; ptID < 7; ptID++)
+ {
+ c = new TCanvas(Form("c%d", ptID), Form("%.0f < pT < %.0f", ptRange[ptID], ptRange[ptID+1]), 800, 400);
+ c->Divide(2, 1);
+
+ for (Int_t i=0; i<2; i++)
+ {
+ c->cd(i+1);
+ h->GetTwoTrackDistance(i)->GetZaxis()->SetRangeUser(ptRange[ptID] + 0.01, ptRange[ptID+1] - 0.01);
+ p = h->GetTwoTrackDistance(i)->Project3D(Form("yx_%d_%d", i, ptID));
+// if (ptID == 0)
+ p->SetStats(0);
+
+ pc = (TH2*) p->Clone("pc");
+ pc->Reset();
+
+ p->DrawCopy("COLZ");
+
+ continue;
+
+ // reduce to one quadrant
+ for (Int_t x=1; x<=p->GetNbinsX(); x++)
+ for (Int_t y=1; y<=p->GetNbinsY(); y++)
+ pc->Fill(TMath::Abs(p->GetXaxis()->GetBinCenter(x)), TMath::Abs(p->GetYaxis()->GetBinCenter(y)), p->GetBinContent(x, y));
+
+ c->cd(i+2);
+ copy = pc->DrawCopy("COLZ");
+ copy->GetXaxis()->SetRangeUser(0, 10);
+ copy->GetYaxis()->SetRangeUser(0.00101, 10);
+
+ // extract excess
+ if (1)
+ {
+ Float_t center = pc->Integral(pc->GetXaxis()->FindBin(0), pc->GetXaxis()->FindBin(0.009999), 1, pc->GetNbinsY());
+ Float_t outside = pc->Integral(pc->GetXaxis()->FindBin(0.01001), pc->GetXaxis()->FindBin(0.04999), 1, pc->GetNbinsY());
+
+ Float_t excess1 = center - outside / 4;
+
+ Float_t center = pc->Integral(pc->GetXaxis()->FindBin(0), pc->GetXaxis()->FindBin(0.001999), 1, pc->GetNbinsY());
+ Float_t outside = pc->Integral(pc->GetXaxis()->FindBin(0.002001), pc->GetXaxis()->FindBin(0.00999), 1, pc->GetNbinsY());
+
+ Float_t excess2 = center - outside / 4;
+
+ Printf("%d %f %f", ptID, excess1, excess2);
+ }
+
+ // fit
+ if (0 && i == 0)
+ {
+ p2 = ((TH2*)pc)->ProjectionX("p2", 52, 52+4);
+// p3 = ((TH2*)p)->ProjectionX("p3", 49-4, 49);
+ //p2->Add(p3);
+ //new TCanvas; p2->Draw();
+ //return;
+ p2->Fit("pol0", "0");
+ Float_t avg = p2->GetFunction("pol0")->GetParameter(0);
+ p2->Fit("pol0", "0", "", -0.002, 0.002);
+ Float_t min = p2->GetFunction("pol0")->GetParameter(0);
+ Float_t mine = p2->GetFunction("pol0")->GetParError(0);
+
+ if (avg > 0)
+ {
+ graph->SetPoint(graph->GetN(), ptRange[ptID], min / avg);
+ graph->SetPointError(graph->GetN()-1, 0, mine / avg);
+ }
+ }
+
+ }
+
+ c->SaveAs(Form("twotrack_pt_%d_%d.png", (Int_t) ptRange[ptID], (Int_t) ptRange[ptID+1]));
+ c->SaveAs(Form("twotrack_pt_%d_%d.eps", (Int_t) ptRange[ptID], (Int_t) ptRange[ptID+1]));
+ }
+
+ new TCanvas;
+ graph->Print();
+ graph->Draw("A*");
+}
+
+void PlotTwoTrackEfficiencyControlPlots2(const char* fileName)
+{
+ loadlibs();
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Float_t ptRange[] = { 0.0, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0 };
+
+ graph = new TGraphErrors;
+
+ for (Int_t ptID = 0; ptID < 5; ptID++)
+ {
+ c = new TCanvas(Form("c%d", ptID), Form("%.0f < pT < %.0f", ptRange[ptID], ptRange[ptID+1]), 1200, 400);
+ c->Divide(3, 1);
+
+ TH2* proj[2];
+
+ for (Int_t i=0; i<3; i++)
+ {
+ c->cd(i+1);
+ gPad->SetRightMargin(0.2);
+
+ if (i < 2)
+ {
+ h->GetTwoTrackDistance(i)->GetZaxis()->SetRangeUser(ptRange[ptID] + 0.01, ptRange[ptID+1] - 0.01);
+ p = (TH2*) h->GetTwoTrackDistance(i)->Project3D(Form("yx_%d_%d", i, ptID));
+
+ if (1)
+ {
+ // reduce to one quadrant
+ pc = (TH2*) p->Clone(Form("%s_pc", p->GetName()));
+ pc->Reset();
+ pc->Rebin2D(2, 2);
+ for (Int_t x=1; x<=p->GetNbinsX(); x++)
+ for (Int_t y=1; y<=p->GetNbinsY(); y++)
+ pc->Fill(TMath::Abs(p->GetXaxis()->GetBinCenter(x)), TMath::Abs(p->GetYaxis()->GetBinCenter(y)), p->GetBinContent(x, y));
+ pc->GetXaxis()->SetRangeUser(0, 100);
+ pc->GetYaxis()->SetRangeUser(0, 100);
+ p = pc;
+ }
+
+ if (ptID == 0)
+ p->SetStats(0);
+
+ p->DrawCopy("COLZ");
+
+ proj[i] = p;
+ }
+ else
+ {
+ proj[0]->Divide(proj[1]);
+ proj[0]->SetStats(0);
+
+// Float_t scale = proj[1]->Integral(0, proj[1]->GetNbinsX()+1, 0, proj[1]->GetNbinsY()+1) / proj[0]->Integral(0, proj[1]->GetNbinsX()+1, 0, proj[1]->GetNbinsY()+1);
+ Float_t scale = proj[0]->Integral(1, proj[1]->GetNbinsX(), 1, proj[1]->GetNbinsY()) / proj[1]->GetNbinsX() / proj[1]->GetNbinsY();
+ proj[0]->Scale(1./ scale / 4);
+ proj[0]->DrawCopy("COLZ");
+ }
+ }
+ }
+}
+
+void PlotTwoTrackEfficiencyControlPlots3(const char* fileName, Int_t histID = 0)
+{
+ loadlibs();
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ Float_t ptRange[] = { 0.0, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0 };
+
+ graph = new TGraphErrors;
+
+ for (Int_t ptID = 0; ptID < 5; ptID++)
+ {
+ c = new TCanvas(Form("c%d", ptID), Form("%.0f < pT < %.0f", ptRange[ptID], ptRange[ptID+1]), 1200, 400);
+ c->Divide(3, 1);
+
+ TH2* proj[2];
+
+ for (Int_t i=0; i<3; i++)
+ {
+ c->cd(i+1);
+ gPad->SetRightMargin(0.2);
+
+ if (i < 2)
+ {
+ AliUEHistograms* input = ((i == 0) ? h : hMixed);
+ input->GetTwoTrackDistance(histID)->GetZaxis()->SetRangeUser(ptRange[ptID] + 0.01, ptRange[ptID+1] - 0.01);
+ p = (TH2*) input->GetTwoTrackDistance(histID)->Project3D(Form("yx_%d_%d", i, ptID));
+
+ if (0)
+ {
+ // reduce to one quadrant
+ pc = (TH2*) p->Clone(Form("%s_pc", p->GetName()));
+ pc->Reset();
+// pc->Rebin2D(2, 2);
+ for (Int_t x=1; x<=p->GetNbinsX(); x++)
+ for (Int_t y=1; y<=p->GetNbinsY(); y++)
+ pc->Fill(TMath::Abs(p->GetXaxis()->GetBinCenter(x)), TMath::Abs(p->GetYaxis()->GetBinCenter(y)), p->GetBinContent(x, y));
+ pc->GetXaxis()->SetRangeUser(0, 100);
+ pc->GetYaxis()->SetRangeUser(0, 100);
+ p = pc;
+ }
+
+// if (ptID == 0)
+ p->SetStats(0);
+
+ p->DrawCopy("COLZ");
+
+ proj[i] = p;
+ }
+ else
+ {
+ Float_t scale = proj[0]->Integral() / proj[1]->Integral();
+ proj[0]->Divide(proj[1]);
+ proj[0]->SetStats(0);
+
+// Float_t scale = proj[1]->Integral(0, proj[1]->GetNbinsX()+1, 0, proj[1]->GetNbinsY()+1) / proj[0]->Integral(0, proj[1]->GetNbinsX()+1, 0, proj[1]->GetNbinsY()+1);
+// Float_t scale = proj[0]->Integral(1, proj[1]->GetNbinsX(), 1, proj[1]->GetNbinsY()) / proj[1]->GetNbinsX() / proj[1]->GetNbinsY();
+ proj[0]->Scale(1./ scale);
+// proj[0]->Scale(1./ scale / 4);
+ proj[0]->DrawCopy("COLZ");
+ }
+ }
+
+ break;
+ }
+}
+
+void SystematicpTResolution(const char* inputYield, Int_t caseId = 18, Int_t triggerId = 1)
+{
+ // Study by Jacek comparing TPC only tracks with global tracks for new cuts (crossed rows) (Fwd by Andrew, 07.07.11)
+ // Resolution from tpc only tracks twice as worse than global tracks
+ // Parameterization for tpc-only tracks:
+ // f(pT) = a * pT * sqrt(1+b/(pT^abs(c)))
+ // a = 0.003; b = 2.08; c = 7.07e-7
+ Float_t a = 0.003; Float_t b = 2.08; Float_t c = 7.07e-7;
+ res = new TF1("res", "[0] * x * sqrt(1+[1]/(x**abs([2])))", 0, 15);
+ res->SetParameters(a, b, c);
+// res->Draw(); return;
+
+ ReadYields(inputYield);
+
+ for (Int_t side = 0; side < 2; side++)
+ {
+ for (Int_t centrality = 0; centrality < 4; centrality++)
+ {
+ TGraphErrors** tmp = yields[side][triggerId][centrality];
+ graph = tmp[caseId];
+
+// graph->DrawClone("A*");
+
+ Float_t axisLimits[20];
+ for (Int_t i=0; i<graph->GetN(); i++)
+ {
+ axisLimits[i] = graph->GetX()[i] - graph->GetEX()[i];
+ axisLimits[i+1] = graph->GetX()[i] + graph->GetEX()[i];
+ }
+
+ hist = new TH1F("hist", "", graph->GetN(), axisLimits);
+
+ for (Int_t i=0; i<graph->GetN(); i++)
+ {
+ gaus = new TF1("gaus", "gaus(0)", 0, 15);
+ Float_t sigma = graph->GetX()[i] * res->Eval(graph->GetX()[i]);
+ Float_t norm = graph->GetY()[i] / TMath::Sqrt(2 * TMath::Pi()) / sigma;
+ gaus->SetParameters(norm, graph->GetX()[i], sigma);
+// gaus->Draw("SAME");
+// Printf("%f %f", graph->GetY()[i], gaus->Integral(0, 20));
+
+ // fill histogram
+ for (Int_t j=1; j<=hist->GetNbinsX(); j++)
+ hist->SetBinContent(j, hist->GetBinContent(j) + gaus->Integral(hist->GetBinLowEdge(j), hist->GetXaxis()->GetBinUpEdge(j)));
+ }
+
+// hist->Draw("SAME"); return;
+
+ for (Int_t i=0; i<graph->GetN(); i++)
+ graph->GetY()[i] = hist->GetBinContent(i+1);
+
+// graph->SetMarkerColor(2); graph->DrawClone("*SAME");
+ }
+ }
+}
+
+void DrawProcessIDPlot(const char* fileName)
+{
+ if (gFile)
+ gFile->Close();
+ TFile::Open(fileName);
+ list = (TList*) gFile->Get("PWG4_PhiCorrelations/histosPhiCorrelations");
+ ((TH1*) list->FindObject("processIDs"))->Draw();
+}
+
+void GetExampleDphi(const char* fileName)
+{
+ loadlibs();
+
+ Int_t leadingPtOffset = 1;
+
+ Int_t maxLeadingPt = 5;
+ Int_t maxAssocPt = 6;
+ if (1)
+ {
+ Float_t leadingPtArr[] = { 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0 };
+ Float_t assocPtArr[] = { 0.15, 0.5, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10.0, 12.0 };
+ }
+ else
+ {
+ Float_t leadingPtArr[] = { 0.15, 10.0 };
+ Float_t assocPtArr[] = { 0.15, 10.0 };
+ }
+ leadingPtOffset = 1;
+
+// AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ if (1)
+ {
+// h->SetZVtxRange(-0.99, 0.99);
+ hMixed->SetZVtxRange(-0.99, 0.99);
+ }
+
+ Int_t i=0;
+ Int_t j=2;
+
+ gpTMin = assocPtArr[j] + 0.01;
+ gpTMax = assocPtArr[j+1] - 0.01;
+
+// SetupRanges(h);
+ SetupRanges(hMixed);
+
+ Int_t bin[6];
+ bin[0] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(0)->FindBin(0.01);
+ bin[1] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(1)->FindBin(1.1);
+ bin[2] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(2)->FindBin(2.1);
+ bin[3] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(3)->FindBin(5.5);
+ bin[4] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(4)->FindBin(0);
+ if (hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(5))
+ bin[5] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(5)->FindBin(0);
+ Printf("tracks: %f +- %f", hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(6)->GetGrid()->GetBinContent(bin), hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(6)->GetGrid()->GetBinError(bin));
+
+ bin[0] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(2)->FindBin(2.1);
+ bin[1] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(3)->FindBin(5.5);
+ if (hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(5))
+ bin[2] = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(0)->GetGrid()->GetAxis(5)->FindBin(0);
+ Printf("events: %f +- %f", hMixed->GetUEHist(2)->GetEventHist()->GetGrid(6)->GetGrid()->GetBinContent(bin), hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(6)->GetGrid()->GetBinError(bin));
+
+ return;
+
+ Int_t stepMixed = 6;
+ TH2* mixedTwoD = (TH2*) hMixed->GetUEHist(2)->GetUEHist(stepMixed, 0, leadingPtArr[i+leadingPtOffset], leadingPtArr[i+1+leadingPtOffset], 12, 13, 1, kFALSE);
+
+ TH1* proj = mixedTwoD->ProjectionX("px", 11, 30);
+ proj->Draw();
+}
+
+void GaussToyFit()
+{
+ func = new TF1("func", "gaus(0)", -2, 2);
+ func->SetParameters(1, 0, 0.5);
+
+ hist = new TH1F("hist", "", 100, -2, 2);
+ hist->FillRandom("func", 10000);
+
+ func = new TF1("func", "gaus(0)", -2, 2);
+ func->SetParLimits(2, 0, 10);
+ func->FixParameter(1, 0);
+ func->SetParameters(2, 0, 0.1);
+ hist->Fit(func, "", "", -1, 1);
+ hist->DrawCopy();
+
+ func2 = new TF1("func2", "gaus(0)+[3]", -2, 2);
+ func2->SetParLimits(2, 0, 10);
+ func2->FixParameter(1, 0);
+ func2->SetParameters(2, 0, 0.1, 0);
+ func2->SetLineColor(2);
+ hist->Fit(func2, "+", "", -1, 1);
+
+ return;
+
+ new TCanvas;
+ constant = new TF1("constant", "1", -2, 2);
+ hist->Add(constant, -30);
+ func->SetParameters(2, 0, 0.1);
+ hist->Fit(func, "", "", -1, 1);
+}
+
+void GaussToyFit2()
+{
+ func = new TF2("func", "[0]*exp(-0.5*((x/[1])**2+(y/[2])**2))", -2, 2, -2, 2);
+ func->SetParameters(1, 0.4, 0.6);
+
+ hist = new TH2F("hist", "", 100, -2, 2, 100, -2, 2);
+ hist->FillRandom("func", 100000);
+
+ func = new TF2("func", "[0]*exp(-0.5*((x/[1])**2+(y/[2])**2))", -2, 2, -2, 2);
+ func->SetParameters(1, 0.2, 0.2);
+ hist->Fit(func, "", "");
+ hist->DrawCopy();
+
+ new TCanvas;
+ hist->ProjectionX()->Fit("gaus");
+
+ new TCanvas;
+ hist->ProjectionY()->Fit("gaus");
+}
+
+void AcceptanceToy()
+{
+ // study a la Jan Rak presented in Corr PAG on 06.03.12
+
+ hist = new TH1F("hist", "", 200, -1.5, 1.5);
+
+ Float_t sigma = 0.3;
+ for (Int_t i=0; i<1000000; i++)
+ {
+ // randomize mean
+ Float_t mean = gRandom->Uniform(-5, 5);
+
+ Float_t trig = gRandom->Gaus(mean, sigma);
+ Float_t assoc = gRandom->Gaus(mean, sigma);
+
+// Float_t trig = gRandom->Uniform(-5, 5);
+// Float_t assoc = gRandom->Uniform(-5, 5);
+
+/* if (trig < 0 && assoc < trig)
+ continue;
+ if (trig > 0 && assoc > trig)
+ continue;*/
+
+ if (TMath::Abs(trig) < 1 && TMath::Abs(assoc) < 1)
+// hist->Fill(trig - assoc);
+ hist->Fill(trig - assoc, 1.0 / (1.0 - TMath::Abs(trig-assoc) / 2));
+ }
+
+ hist->Draw();
+ hist->Fit("gaus", "", "", -1.5, 1.5);
+ Printf("%f %f %f", sigma, hist->GetFunction("gaus")->GetParameter(2), hist->GetFunction("gaus")->GetParameter(2) / TMath::Sqrt(2));
+ hist->GetFunction("gaus")->SetLineColor(2);
+}
+
+void DrawEfficiency(const char* fileName, Int_t step1, Int_t step2)
+{
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist1 = 0;
+ TH1* hist2 = 0;
+
+ GetDistAndFlow(h, hMixed, &hist1, 0, step1, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+ GetDistAndFlow(h, hMixed, &hist2, 0, step2, 0, 10, 2.01, 3.99, 1, kTRUE, 0, kTRUE);
+
+ ((TH2*)hist1)->Rebin2D(2, 2);
+ ((TH2*)hist2)->Rebin2D(2, 2);
+
+ new TCanvas("c", "c", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->SetTitle("");
+ hist1->GetYaxis()->SetRangeUser(-1.39, 1.39);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+
+ new TCanvas("c2", "c2", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist2->SetTitle("");
+ hist2->GetYaxis()->SetRangeUser(-1.39, 1.39);
+ hist2->GetXaxis()->SetTitleOffset(1.5);
+ hist2->GetYaxis()->SetTitleOffset(2);
+ hist2->SetStats(kFALSE);
+ hist2->DrawCopy("SURF1");
+
+ hist2->Divide(hist1);
+
+ new TCanvas("c3", "c3", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist2->SetTitle("");
+ hist2->GetYaxis()->SetRangeUser(-1.39, 1.39);
+ hist2->GetXaxis()->SetTitleOffset(1.5);
+ hist2->GetYaxis()->SetTitleOffset(2);
+ hist2->SetStats(kFALSE);
+ hist2->Draw("SURF1");
+}
+
+void RewriteObjects(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ Int_t nAxes = ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0)->GetNVar());
+ Printf("We have %d axes", nAxes);
+
+ TString histId; histId.Form("%dR", nAxes-1);
+ Printf("%s", histId.Data());
+
+ AliUEHistograms* hNew = new AliUEHistograms(h->GetName(), histId);
+ hNew->DeepCopy(h);
+ delete h;
+
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+ AliUEHistograms* hMixedNew = new AliUEHistograms(hMixed->GetName(), histId);
+ hMixedNew->DeepCopy(hMixed);
+ delete hMixed;
+
+ TString newFileName(fileName);
+ newFileName.ReplaceAll(".root", "");
+ newFileName += "_rebinned.root";
+
+ list = new TList;
+ list->Add(hNew);
+ list->Add(hMixedNew);
+
+ file3 = TFile::Open(newFileName, "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+}
+
+void CondenseCentrality(const char* fileName, Float_t targetValue, Int_t step = 0, Float_t from = 0, Float_t to = -1)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ h->GetUEHist(2)->CondenseBin(step, 3, 1, targetValue, from, to);
+ hMixed->GetUEHist(2)->CondenseBin(step, 3, 1, targetValue, from, to);
+
+ TString newFileName(fileName);
+ newFileName.ReplaceAll(".root", "");
+ newFileName += "_condensed.root";
+
+ list = new TList;
+ list->Add(h);
+ list->Add(hMixed);
+
+ file3 = TFile::Open(newFileName, "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+}
+
+void SymmetrizepTBins(const char* fileName)
+{
+ // copy pt,a < pt,t bins to pt,a > pt,t
+
+ loadlibs();
+
+ TList* list = 0;
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, &list);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ h->GetUEHist(2)->SymmetrizepTBins();
+ hMixed->GetUEHist(2)->SymmetrizepTBins();
+
+ TString newFileName(fileName);
+ newFileName.ReplaceAll(".root", "");
+ newFileName += "_symmetrized.root";
+
+ file3 = TFile::Open(newFileName, "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+}
+
+void PtDistributions(Int_t step = 8, Float_t centralityBegin = 1, Float_t centralityEnd = 10)
+{
+ loadlibs();
+
+// const char* fileNames[] = { "LHC10h_AOD086_120411_zvtx_rebinned_corrected.root", "LHC10h_AOD086_120411_hybrid_zvtx_rebinned_corrected.root", "LHC10h_AOD086_120430_raacuts_zvtx_rebinned_corrected.root" };
+
+// const char* fileNames[] = { "LHC10h_AOD086_120411_zvtx_rebinned.root", "LHC10h_AOD086_120411_hybrid_zvtx_rebinned.root", "LHC10h_AOD086_120430_raacuts_zvtx_rebinned.root" };
+ const char* fileNames[] = { "pt_pos.root", "pt_neg.root" };
+// const char* fileNames[] = { "LHC11a10a_bis_AOD090_120406_zvtx.root" };
+
+// Float_t eventCount[] = { 1098234., 1034306., 1369707. };
+// Float_t eventCount[] = { 987360.000000, 930278.000000, 1231806.000000 };
+ Float_t eventCount[] = { 1., 1. };
+
+ TH1* pt[3];
+
+ new TCanvas;
+ for (Int_t i=0; i<2; i++)
+ {
+/* AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileNames[i]);
+
+ h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(0.01 + centralityBegin, -0.01 + centralityEnd);
+ ptDist = h->GetUEHist(2)->GetEventHist()->Project(step, 0);*/
+
+/* eventCount = h->GetEventCount();
+ Float_t events = eventCount->Integral(eventCount->GetXaxis()->FindBin(step), eventCount->GetXaxis()->FindBin(step), eventCount->GetYaxis()->FindBin(0.01 + centralityBegin), eventCount->GetYaxis()->FindBin(-0.01 + centralityEnd));*/
+ Float_t events = eventCount[i];
+
+ TFile::Open(fileNames[i]);
+ ptDist = (TH2*) gFile->Get("ptDist");
+
+ ptDistProj = ptDist->ProjectionX(Form("ptDistProj_%d", i), ptDist->GetYaxis()->FindBin(0.01 + centralityBegin), ptDist->GetYaxis()->FindBin(-0.01 + centralityEnd));
+
+// new TCanvas; ptDistProj->Draw(); gPad->SetLogy();
+
+
+ ptDistProj->Scale(1.0 / events);
+
+ ptDistProj->SetLineColor(i+1);
+ ptDistProj->DrawCopy((i == 0) ? "" : "SAME");
+
+ pt[i] = (TH1*) ptDistProj->Clone(Form("clone_%d", i));
+ }
+ gPad->SetLogy();
+
+ new TCanvas;
+ for (Int_t i=1; i<2; i++)
+ {
+ pt[i]->Divide(pt[0]);
+ pt[i]->DrawCopy((i == 1) ? "" : "SAME");
+ }
+}
+
+void test(const char* fileNameESD)
+{
+ Int_t step = 8;
+
+ loadlibs();
+ AliUEHistograms* esd = (AliUEHistograms*) GetUEHistogram(fileNameESD);
+
+ SetupRanges(esd);
+
+ ptDist = (TH2*) esd->GetUEHist(2)->GetEventHist()->Project(step, 0, 1);
+
+ Printf("%f", ptDist->Integral());
+}
+
+void CorrectPtDistribution(const char* fileNameCorrections, const char* fileNameESD, const char* outputFile)
+{
+ Int_t step = 8;
+
+ loadlibs();
+
+ AliUEHistograms* corr = (AliUEHistograms*) GetUEHistogram(fileNameCorrections);
+
+ TList* list = 0;
+ AliUEHistograms* esd = (AliUEHistograms*) GetUEHistogram(fileNameESD, &list);
+
+ SetupRanges(corr);
+ SetupRanges(esd);
+
+ corr->SetEtaRange(-0.89, 0.89);
+ corr->ExtendTrackingEfficiency(0);
+
+ eff = corr->GetUEHist(2)->GetTrackingEfficiencyCorrectionCentrality();
+ new TCanvas; eff->Draw("COLZ");
+
+ cont = corr->GetUEHist(2)->GetTrackingContaminationCentrality();
+ new TCanvas; cont->Draw("COLZ");
+
+ ptDist = (TH2*) esd->GetUEHist(2)->GetEventHist()->Project(step, 0, 1);
+ ptDist->SetStats(0);
+ new TCanvas; ptDist->DrawCopy("COLZ");
+
+ for (Int_t x=1; x<=ptDist->GetNbinsX(); x++)
+ for (Int_t y=1; y<=ptDist->GetNbinsY(); y++)
+ {
+ Float_t factor = eff->GetBinContent(eff->GetXaxis()->FindBin(ptDist->GetXaxis()->GetBinCenter(x)), eff->GetYaxis()->FindBin(ptDist->GetYaxis()->GetBinCenter(y)));
+ Float_t contFactor = cont->GetBinContent(cont->GetXaxis()->FindBin(ptDist->GetXaxis()->GetBinCenter(x)), cont->GetYaxis()->FindBin(ptDist->GetYaxis()->GetBinCenter(y)));
+
+ printf("%f", contFactor);
+ if (contFactor > 0)
+ contFactor = 1.0 + 1.1 * (contFactor - 1.0);
+ printf(" --> %f\n", contFactor);
+
+ factor *= contFactor;
+
+ ptDist->SetBinContent(x, y, ptDist->GetBinContent(x, y) * factor);
+ ptDist->SetBinError(x, y, ptDist->GetBinError(x, y) * factor);
+ }
+
+ new TCanvas; ptDist->DrawCopy("COLZ");
+
+ file3 = TFile::Open(outputFile, "RECREATE");
+ ptDist->Write("ptDist");
+ file3->Write();
+ file3->Close();
+
+ delete corr;
+ delete esd;
+}
+
+void CorrectPtDistributionAll()
+{
+ CorrectPtDistribution("LHC11a10a_bis_AOD090_120406.root", "LHC10h_AOD086_120411_zvtx_rebinned.root", "ptdist1.root");
+ CorrectPtDistribution("LHC11a10a_bis_AOD090_120505_zvtx_hybrid.root", "LHC10h_AOD086_120411_hybrid_zvtx_rebinned.root", "ptdist2.root");
+ CorrectPtDistribution("LHC11a10a_bis_AOD090_120505_zvtx_raa.root", "LHC10h_AOD086_120430_raacuts_zvtx_rebinned.root", "ptdist3.root");
+}
+
+void CreateNormalizationTestObject(Bool_t addRidge = kFALSE)
+{
+ loadlibs();
+ gSystem->Load("libPWGCFCorrelationsDPhi");
+
+ AliUEHistograms* hNew = new AliUEHistograms("AliUEHistogramsSame", "5RC");
+
+ // fill 1000 particles in one bin
+ TObjArray* particles = new TObjArray;
+ particles->Add(new AliDPhiBasicParticle(0, 0, 3.5, 1));
+ for (Int_t i=0; i<2000; i++)
+ particles->Add(new AliDPhiBasicParticle(gRandom->Gaus(0, 0.3), gRandom->Gaus(0, 0.3), 1.75, 1));
+
+ hNew->FillCorrelations(61, 0, 8, particles);
+
+ if (addRidge)
+ {
+ for (Int_t i=0; i<10000; i++)
+ particles->Add(new AliDPhiBasicParticle(gRandom->Uniform(-2, 2), gRandom->Gaus(0, 0.5), 1.75, 1));
+ }
+
+ hNew->FillCorrelations(0.5, 0, 8, particles);
+
+ // fill flat mixed event
+ AliUEHistograms* hMixedNew = new AliUEHistograms("AliUEHistogramsMixed", "5RC");
+ THnSparse* sparse = hMixedNew->GetUEHist(2)->GetTrackHist(0)->GetGrid(8)->GetGrid();
+ for (Int_t x=1; x<=sparse->GetAxis(0)->GetNbins(); x++)
+ for (Int_t y=1; y<=sparse->GetAxis(4)->GetNbins(); y++)
+ {
+ Double_t bin[6];
+ bin[0] = sparse->GetAxis(0)->GetBinCenter(x);
+ bin[4] = sparse->GetAxis(4)->GetBinCenter(y);
+ bin[1] = 1.75;
+ bin[2] = 3.5;
+ bin[3] = 0.5;
+ bin[5] = 0;
+ sparse->Fill(bin);
+
+ bin[3] = 61;
+ sparse->Fill(bin);
+
+ bin[3] = 0.5;
+ bin[2] = 1.75;
+ sparse->Fill(bin);
+
+ bin[3] = 61;
+ sparse->Fill(bin);
+ }
+
+ Double_t bin[6];
+ bin[0] = 3.5;
+ bin[1] = 0.5;
+ bin[2] = 0;
+ hMixedNew->GetUEHist(2)->GetEventHist()->GetGrid(8)->GetGrid()->Fill(bin);
+
+ bin[1] = 61;
+ hMixedNew->GetUEHist(2)->GetEventHist()->GetGrid(8)->GetGrid()->Fill(bin);
+
+ bin[1] = 0.5;
+ bin[0] = 1.75;
+ hMixedNew->GetUEHist(2)->GetEventHist()->GetGrid(8)->GetGrid()->Fill(bin);
+
+ bin[1] = 61;
+ hMixedNew->GetUEHist(2)->GetEventHist()->GetGrid(8)->GetGrid()->Fill(bin);
+
+ ((AliTHn*) hNew->GetUEHist(2)->GetTrackHist(0))->FillParent();
+ ((AliTHn*) hNew->GetUEHist(2)->GetTrackHist(0))->DeleteContainers();
+
+ ((AliTHn*) hMixedNew->GetUEHist(2)->GetTrackHist(0))->FillParent();
+ ((AliTHn*) hMixedNew->GetUEHist(2)->GetTrackHist(0))->DeleteContainers();
+
+ list = new TList;
+ list->Add(hNew);
+ list->Add(hMixedNew);
+
+ file3 = TFile::Open("norm.root", "RECREATE");
+ file3->mkdir("PWG4_PhiCorrelations");
+ file3->cd("PWG4_PhiCorrelations");
+ list->Write("histosPhiCorrelations", TObject::kSingleKey);
+ file3->Close();
+}
+
+void CompareSumOfRatiosAndDefault(const char* fileName, Int_t bin, Int_t step)
+{
+ loadlibs();
+
+ Int_t centralityFrom = 0;
+ Int_t centralityTo = 20;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ Float_t ptTrigBegin = 2.01;
+ Float_t ptTrigEnd = 3.99;
+
+ if (bin == 1)
+ {
+ ptTrigBegin = 1.01;
+ ptTrigEnd = 1.99;
+ }
+ else if (bin == 2)
+ {
+ gpTMin = 0.49;
+ gpTMax = 0.99;
+ ptTrigBegin = 0.49;
+ ptTrigEnd = 0.99;
+ }
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH2* hist1 = 0;
+ TH2* hist2 = 0;
+ GetSumOfRatios(h, hMixed, &hist1, step, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, kTRUE);
+ GetDistAndFlow(h, hMixed, &hist2, 0, step, centralityFrom, centralityTo, ptTrigBegin, ptTrigEnd, 1, kTRUE, 0, kTRUE);
+
+ hist1->Rebin2D(2, 2); hist1->Scale(0.25);
+ hist2->Rebin2D(2, 2); hist2->Scale(0.25);
+
+ c = new TCanvas("c", "c", 1000, 1000);
+ c->Divide(2, 3);
+
+ c->cd(1);
+ hist1->DrawCopy("SURF1");
+
+ c->cd(2);
+ hist2->DrawCopy("SURF1");
+
+ c->cd(4);
+ proj1 = ((TH2*) hist1)->ProjectionY("proj1", hist1->GetXaxis()->FindBin(-0.99), hist1->GetXaxis()->FindBin(0.99));
+ proj1->DrawCopy();
+ proj2 = ((TH2*) hist2)->ProjectionY("proj2", hist2->GetXaxis()->FindBin(-0.99), hist2->GetXaxis()->FindBin(0.99));
+ proj2->SetLineColor(2);
+ proj2->DrawCopy("SAME");
+
+ c->cd(5);
+ proj1->Divide(proj1, proj2, 1, 1, "B");
+ proj1->DrawCopy();
+
+ c->cd(3);
+ hist1->Divide(hist2);
+ hist1->DrawCopy("SURF1");
+}
+
+void PtDistribution(const char* fileName, Int_t step, Int_t bin = 0)
+{
+ Int_t centralityFrom = 0;
+ Int_t centralityTo = 80;
+
+ Float_t ptTrigBegin = 2.01;
+ Float_t ptTrigEnd = 3.99;
+
+ if (bin == 1)
+ {
+ ptTrigBegin = 1.01;
+ ptTrigEnd = 1.99;
+ }
+ else if (bin == 2)
+ {
+ ptTrigBegin = 0.51;
+ ptTrigEnd = 0.99;
+ }
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ Int_t centralityBeginBin = 0;
+ Int_t centralityEndBin = -1;
+
+ if (centralityTo >= centralityFrom)
+ {
+ centralityBeginBin = h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(0.01 + centralityFrom);
+ centralityEndBin = h->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->FindBin(-0.01 + centralityTo);
+ }
+
+ pt1 = h->GetUEHist(2)->GetPtHist(step, 0, ptTrigBegin, ptTrigEnd, centralityBeginBin, centralityEndBin, TMath::Pi()/2 - 0.2, TMath::Pi()/2 + 0.2, -1.99, 1.99);
+ pt2 = h->GetUEHist(2)->GetPtHist(step, 0, ptTrigBegin, ptTrigEnd, centralityBeginBin, centralityEndBin, -0.5, 0.5, -1.99, 1.99);
+
+ new TCanvas;
+ pt1->DrawCopy();
+ pt2->SetLineColor(2);
+ pt2->DrawCopy("SAME");
+ gPad->SetLogy();
+
+ // TODO proper subtraction, to get the pT distribution in the peak
+}
+
+void GetRefMultiplicity(const char* fileNameESD, const char* tag = "")
+{
+ Int_t step = 8;
+
+ loadlibs();
+
+ AliUEHistograms* esd = (AliUEHistograms*) GetUEHistogram(fileNameESD, 0, kFALSE, tag);
+
+ Float_t centrBins[] = { 0, 20, 40, 60, 100 };
+// Float_t centrBins[] = { 0, 100 };
+
+ // NOTE Run it on data with limited zvtx range so that there are no empty bins in the corrections!
+
+ for (Int_t i=0; i<4; i++)
+ {
+ Float_t centrBegin = centrBins[i] + 0.1;
+ Float_t centrEnd = centrBins[i+1] - 0.1;
+ esd->GetUEHist(2)->GetEventHist()->GetGrid(step)->GetGrid()->GetAxis(1)->SetRangeUser(centrBegin, centrEnd);
+
+ ptDist = (TH2*) esd->GetUEHist(2)->GetEventHist()->Project(step, 0);
+
+ centrDist = esd->GetCentralityDistribution();
+
+ if (1)
+ {
+ // add syst from R_pA
+ for (Int_t j=1; j<=ptDist->GetNbinsX(); j++)
+ ptDist->SetBinError(j, TMath::Sqrt(ptDist->GetBinError(j) * ptDist->GetBinError(j) + 0.052 * 0.052 * ptDist->GetBinContent(j) * ptDist->GetBinContent(j)));
+ }
+
+ Float_t events = centrDist->Integral(centrDist->FindBin(centrBegin), centrDist->FindBin(centrEnd));
+ Double_t error = 0;
+// Float_t integral = ptDist->IntegralAndError(ptDist->FindBin(0.51), ptDist->FindBin(3.99), error);
+ Float_t integral = ptDist->IntegralAndError(ptDist->FindBin(0.51), ptDist->FindBin(7.99), error);
+ Printf("%d: %f +- %f %f --> %f +- %F", i, integral, error, events, integral / events, error / events);
+
+ ptDist->Scale(1.0 / events);
+// ptDist->Scale(1.0 / integral);
+
+// ptDist->Rebin(2);
+
+ NormalizeToBinWidth(ptDist);
+ ptDist->SetLineColor(i + 1);
+ ptDist->DrawCopy((i == 0) ? "" : "SAME");
+ }
+ gPad->SetLogy();
+
+ TFile::Open("dNdPt_pPb_lab_MinBias_NEW.root");
+ comparison = (TH1*) gFile->Get("dNdPt_pPb_eta08_stat");
+ comparison->Scale(1.6); // normalize to my eta range
+ comparison->SetLineColor(2);
+ comparison->DrawCopy("SAME");
+
+ //rebin
+ for (Int_t i=1; i<=comparison->GetNbinsX(); i++)
+ {
+ // multiply by bin width
+ comparison->SetBinContent(i, comparison->GetBinContent(i) * comparison->GetBinWidth(i));
+ comparison->SetBinError(i, comparison->GetBinError(i) * comparison->GetBinWidth(i));
+ }
+
+ Float_t integral = comparison->IntegralAndError(comparison->FindBin(0.51), comparison->FindBin(7.99), error);
+ Float_t integral2 = comparison->IntegralAndError(comparison->FindBin(0.51), comparison->FindBin(19.99), error);
+ Printf("%f %f", integral, integral2);
+
+ Float_t integral = comparison->IntegralAndError(comparison->FindBin(0.51), comparison->FindBin(7.99), error);
+ Float_t integral2 = comparison->IntegralAndError(comparison->FindBin(0.61), comparison->FindBin(7.99), error);
+ Printf("%f %f", integral, integral2);
+
+ rebinned = comparison->Rebin(ptDist->GetNbinsX(), "rebinned", ptDist->GetXaxis()->GetXbins()->GetArray());
+
+
+ NormalizeToBinWidth(rebinned);
+ rebinned->Draw("SAME");
+
+ new TCanvas;
+ ptDist->Divide(rebinned);
+ ptDist->Draw();
+
+ return;
+
+ new TCanvas;
+ syst = (TH1*) gFile->Get("dNdPt_pPb_eta08_syst");
+ syst->DrawCopy();
+
+ new TCanvas;
+ for (Int_t i=1; i<=syst->GetNbinsX(); i++)
+ {
+ if (syst->GetBinContent(i) > 0)
+ syst->SetBinContent(i, syst->GetBinError(i) / syst->GetBinContent(i));
+ syst->SetBinError(i, 0);
+ }
+ syst->Draw();
+}
+
+void CheckBin(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ sparse = h->GetUEHist(2)->GetTrackHist(0)->GetGrid(8)->GetGrid();
+ sparse->GetAxis(1)->SetRangeUser(5, 5.1);
+ sparse->GetAxis(2)->SetRangeUser(7, 7.1);
+ sparse->GetAxis(3)->SetRangeUser(90, 91);
+ sparse->GetAxis(4)->SetRangeUser(9, 9.1);
+
+ new TCanvas;
+ sparse->Projection(0, 4)->Draw("colz");
+
+ sparse = hMixed->GetUEHist(2)->GetTrackHist(0)->GetGrid(8)->GetGrid();
+ sparse->GetAxis(1)->SetRangeUser(5, 5.1);
+ sparse->GetAxis(2)->SetRangeUser(7, 7.1);
+ sparse->GetAxis(3)->SetRangeUser(90, 91);
+ sparse->GetAxis(4)->SetRangeUser(9, 9.1);
+
+ new TCanvas;
+ sparse->Projection(0, 4)->Draw("colz");
+}
+
+void GetCorrectedYields(const char* fileName, const char* correctionFile)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+
+ // centrality, pT, eta
+ yieldsUncorr = h->GetYield();
+ new TCanvas; yieldsUncorr->DrawCopy();
+// new TCanvas; yieldsUncorr->ProjectionX("x1")->DrawCopy();
+
+ // normalize per event
+ centrDist = h->GetCentralityCorrelation()->ProjectionX();
+ new TCanvas; centrDist->Draw();
+
+ for (Int_t x=1; x<=yieldsUncorr->GetNbinsX(); x++)
+ {
+ Double_t factor = centrDist->GetBinContent(centrDist->FindBin(yieldsUncorr->GetXaxis()->GetBinCenter(x)));
+// Printf("%d %f %d %f", x, yieldsUncorr->GetXaxis()->GetBinCenter(x), centrDist->FindBin(yieldsUncorr->GetXaxis()->GetBinCenter(x)), factor);
+ if (factor <= 0)
+ continue;
+
+ for (Int_t y=0; y<=yieldsUncorr->GetNbinsY()+1; y++)
+ for (Int_t z=0; z<=yieldsUncorr->GetNbinsZ()+1; z++)
+ {
+ if (yieldsUncorr->GetBinContent(x, y, z) <= 0)
+ continue;
+ yieldsUncorr->SetBinContent(x, y, z, yieldsUncorr->GetBinContent(x, y, z) / factor);
+ yieldsUncorr->SetBinError(x, y, z, yieldsUncorr->GetBinError(x, y, z) / factor);
+ }
+ }
+
+// new TCanvas; yieldsUncorr->ProjectionX("x2")->DrawCopy(); return;
+
+ AliUEHistograms* hCorr = (AliUEHistograms*) GetUEHistogram(correctionFile);
+
+ hCorr->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(0)->GetGrid()->GetAxis(4)->SetRangeUser(-1.9, 1.9);
+ hCorr->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(2)->GetGrid()->GetAxis(4)->SetRangeUser(-1.9, 1.9);
+
+ // eta, pT
+ TH2* generated = hCorr->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(0)->GetGrid()->Projection(1, 0);
+ TH2* measured = hCorr->GetUEHist(2)->GetTrackHistEfficiency()->GetGrid(2)->GetGrid()->Projection(1, 0);
+
+ Printf("%f %f", generated->GetEntries(), measured->GetEntries());
+
+ new TCanvas; generated->Draw("COLZ");
+ new TCanvas; measured->Draw("COLZ");
+
+ effCorr = (TH2*) generated->Clone("correction");
+ effCorr->Divide(generated, measured, 1, 1, "B");
+
+ new TCanvas; effCorr->Draw("COLZ");
+
+// return;
+
+ yieldsCorr = (TH3F*) yieldsUncorr->Clone("fYieldsCorr");
+ yieldsCorr->Reset();
+
+ for (Int_t x=1; x<=yieldsUncorr->GetNbinsX(); x++)
+ for (Int_t y=1; y<=yieldsUncorr->GetNbinsY(); y++)
+ for (Int_t z=1; z<=yieldsUncorr->GetNbinsZ(); z++)
+ {
+ Double_t factor = effCorr->GetBinContent(effCorr->GetXaxis()->FindBin(yieldsUncorr->GetZaxis()->GetBinCenter(z)), effCorr->GetYaxis()->FindBin(yieldsUncorr->GetYaxis()->GetBinCenter(y)));
+ yieldsCorr->SetBinContent(x, y, z, yieldsUncorr->GetBinContent(x, y, z) * factor);
+ yieldsCorr->SetBinError(x, y, z, yieldsUncorr->GetBinError(x, y, z) * factor);
+ }
+
+ new TCanvas; yieldsCorr->DrawCopy();
+
+ TFile::Open("corr_yield.root", "RECREATE");
+ yieldsCorr->Write();
+ gFile->Close();
+
+ yieldsUncorr->GetXaxis()->SetRangeUser(1, yieldsUncorr->GetNbinsX());
+
+ new TCanvas; yieldsUncorr->Project3D("z1")->DrawCopy()->SetLineColor(1); yieldsCorr->Project3D("z2")->DrawCopy("SAME")->SetLineColor(2);
+
+ yieldsUncorr->GetXaxis()->SetRangeUser(0.1, 9.9);
+ yieldsCorr->GetXaxis()->SetRangeUser(0.1, 9.9);
+ new TCanvas; yieldsUncorr->Project3D("z3")->DrawCopy()->SetLineColor(1); yieldsCorr->Project3D("z4")->DrawCopy("SAME")->SetLineColor(2);
+ yieldsUncorr->GetXaxis()->SetRangeUser(60.1, 99.9);
+ yieldsCorr->GetXaxis()->SetRangeUser(60.1, 99.9);
+ yieldsUncorr->Project3D("z5")->DrawCopy("SAME")->SetLineColor(3); yieldsCorr->Project3D("z6")->DrawCopy("SAME")->SetLineColor(4);
+}
+
+void PlotPtCentrality()
+{
+ TFile::Open("corr_yield.root");
+ yieldsCorr = (TH3F*) gFile->Get("fYieldsCorr");
+
+ yieldsCorr->GetZaxis()->SetRangeUser(-0.4999, 0.4999);
+ yieldsProj = (TH2*) yieldsCorr->Project3D("yx");
+ Printf("%f", yieldsProj->Integral());
+
+ Float_t ptMin[] = { 0.5001, 1.0001, 2.0001 };
+ Float_t ptMax = 10;
+
+ for (Int_t i=0; i<3; i++)
+ {
+ profile = yieldsProj->ProjectionX(Form("x%d", i), yieldsProj->GetYaxis()->FindBin(ptMin[i]), yieldsProj->GetYaxis()->FindBin(ptMax));
+ profile->SetLineColor(i+1);
+ profile->Draw((i > 0) ? "SAME" : "");
+ }
+}
+
+void ExtractForAllSpecies()
+{
+ TString baseName = "LHC13b2_fix_1_Train";
+ const char* suffix[] = { "55_Hadrons_symmetrized", "63_Pions", "63_Kaons", "63_Protons" };
+ TString baseNameOutput = "dphi_corr_mc_130531_allpt_";
+
+ for (Int_t i=0; i<4; i++)
+ PlotDeltaPhiEtaGap(baseName + suffix[i] + ".root", 0, 0, 0, baseNameOutput + suffix[i] + ".root");
+}
+
+void Compare2D(const char* fileName, const char* fileName2)
+{
+ Int_t step = 8;
+
+ gpTMin = 1.01;
+ gpTMax = 1.99;
+
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ AliUEHistograms* h2 = (AliUEHistograms*) GetUEHistogram(fileName2);
+ hMixed2 = (AliUEHistograms*) GetUEHistogram(fileName2, 0, kTRUE);
+
+ SetupRanges(h);
+ SetupRanges(hMixed);
+ SetupRanges(h2);
+ SetupRanges(hMixed2);
+
+// h->SetZVtxRange(0.1, 0.5);
+// hMixed->SetZVtxRange(0.1, 0.5);
+// h2->SetZVtxRange(0.1, 0.5);
+// hMixed2->SetZVtxRange(0.1, 0.5);
+
+ TH1* hist1 = 0;
+ GetDistAndFlow(h, 0, &hist1, 0, step, 0, 20, 1.01, 1.99, 1, kTRUE, 0, kTRUE);
+
+ TH1* hist2 = 0;
+ GetDistAndFlow(h2, 0, &hist2, 0, step, 0, 20, 1.01, 1.99, 1, kTRUE, 0, kTRUE);
+
+ c = new TCanvas("c", "c", 1600, 800);
+ c->Divide(2, 1);
+ c->cd(1);
+ gPad->SetLeftMargin(0.15);
+
+ hist1->DrawCopy("SURF1");
+
+ c->cd(2);
+ gPad->SetLeftMargin(0.15);
+
+ hist2->DrawCopy("SURF1");
+
+ Printf("%f %f", hist1->Integral(), hist2->Integral());
+
+ new TCanvas("c3", "c3", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist2->Divide(hist1);
+ hist2->DrawCopy("COLZ");
+}
+
+//Geant3/Fluka correction for tracking from the spectra analysis
+TF1 *
+TrackingEff_geantflukaCorrection(Int_t ipart, Int_t icharge)
+{
+
+ if (ipart == 3 && icharge == kNegative) {
+ TF1 *f = new TF1(Form("fGeantFluka_%s_%s", AliPID::ParticleName(ipart), Sign[icharge]), "TrackingPtGeantFlukaCorrectionKaMinus(x);p_{T};GF correction", 0., 5.);
+ return f;
+ }
+ else if (ipart == 4 && icharge == kNegative) {
+ TF1 *f = new TF1(Form("fGeantFluka_%s_%s", AliPID::ParticleName(ipart), Sign[icharge]), "TrackingPtGeantFlukaCorrectionPrMinus(x);p_{T};GF correction", 0., 5.);
+ }
+ else
+ TF1 *f = new TF1(Form("fGeantFluka_%s_%s", AliPID::ParticleName(ipart), Sign[icharge]), "TrackingPtGeantFlukaCorrectionNull(x);p_{T};GF correction", 0., 5.);
+
+ return f;
+}
+
+Double_t
+TrackingPtGeantFlukaCorrectionNull(Double_t pTmc)
+{
+ return 1.;
+}
+
+Double_t
+TrackingPtGeantFlukaCorrectionPrMinus(Double_t pTmc)
+{
+ return (1 - 0.129758 *TMath::Exp(-pTmc*0.679612));
+}
+
+Double_t
+TrackingPtGeantFlukaCorrectionKaMinus(Double_t pTmc)
+{
+ return TMath::Min((0.972865 + 0.0117093*pTmc), 1.);
+}
+
+//Geant3/Fluka correction for matching from the spectra analysis
+TF1 *
+TOFmatchMC_geantflukaCorrection(Int_t ipart, Int_t icharge,Int_t ntrd)
+{
+ if (ipart == 3 && icharge == kNegative) {
+ TF1 *f = new TF1(Form("fGeantFluka_%s_%s", AliPID::ParticleName(ipart), Sign[icharge]),Form("MatchingPtGeantFlukaCorrectionKaMinus(x,%d);p_{T};GF correction",ntrd), 0., 5.);
+ return f;
+ }
+ else if (ipart == 4 && icharge == kNegative) {
+ TF1 *f = new TF1(Form("fGeantFluka_%s_%s", AliPID::ParticleName(ipart), Sign[icharge]),Form("MatchingPtGeantFlukaCorrectionPrMinus(x,%d);p_{T};GF correction",ntrd), 0., 5.);
+ }
+ else
+ TF1 *f = new TF1(Form("fGeantFluka_%s_%s", AliPID::ParticleName(ipart), Sign[icharge]), "MatchingPtGeantFlukaCorrectionNull(x);p_{T};GF correction", 0., 5.);
+
+ return f;
+}
+
+
+Double_t
+MatchingPtGeantFlukaCorrectionNull(Double_t pTmc)
+{
+ return 1.;
+}
+Double_t
+MatchingPtGeantFlukaCorrectionKaMinus(Double_t pTmc, Int_t ntrd = 7)//ntrd is 7 in 2010, 10 in 2011, 13 in 2012+2013
+{
+ Float_t ptTPCoutK=pTmc*(1- 3.37297e-03/pTmc/pTmc - 3.26544e-03/pTmc);
+ Float_t scale = (ntrd * 0.14638485 + (18 - ntrd) * 0.02406) / 18.;
+ return TMath::Min((TMath::Power(0.972865 + 0.0117093*ptTPCoutK,scale/0.03471)), 1.);
+}
+Double_t
+MatchingPtGeantFlukaCorrectionPrMinus(Double_t pTmc, Int_t ntrd = 7)//ntrd is 7 in 2010, 10 in 2011, 13 in 2012+2013
+{
+ Float_t ptTPCoutP =pTmc*(1-6.81059e-01*TMath::Exp(-pTmc*4.20094));
+ Float_t scale = (ntrd * 0.14638485 + (18 - ntrd) * 0.02406) / 18.;
+ return (TMath::Power(1 - 0.129758*TMath::Exp(-ptTPCoutP*0.679612),scale/0.03471));
+}
git://git.uio.no / u / mrichter / AliRoot.git / commitdiff