TH1* hist1 = h->GetUEHist(id)->GetEventHist()->ShowProjection(var, step);
TH1* hist2 = h2->GetUEHist(id)->GetEventHist()->ShowProjection(var, step);
+
+// hist1 = hist1->Rebin(hist2->GetNbinsX(), "new", hist2->GetXaxis()->GetXbins()->GetArray());
+
+// hist2 = hist2->Rebin(hist1->GetNbinsX(), "new", hist1->GetXaxis()->GetXbins()->GetArray());
DrawRatio(hist1, hist2, "compare");
}
DrawALICELogo(0.75, 0.75, 0.9, 0.9);
}
+void DrawExample2(const char* fileName)
+{
+ loadlibs();
+
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName);
+ hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE);
+
+ gpTMin = 0.51;
+ gpTMax = 0.99;
+ SetupRanges(h);
+ SetupRanges(hMixed);
+
+ TH1* hist1 = 0;
+ GetSumOfRatios(h, hMixed, &hist1, 8, 0, 5, 0.51, 0.99);
+
+ new TCanvas("c", "c", 800, 800);
+ gPad->SetLeftMargin(0.15);
+ hist1->GetYaxis()->SetRangeUser(-1.79, 1.79);
+ hist1->GetXaxis()->SetTitleOffset(1.5);
+ hist1->GetYaxis()->SetTitleOffset(2);
+ hist1->SetStats(kFALSE);
+ hist1->DrawCopy("SURF1");
+}
+
+void CompareZVtxWeighting(const char* fileName, Int_t step = 8)
+{
+ 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, step, 0, 10, 5.01, 9.99, 1, kTRUE, 0, kTRUE);
+ hist1->Scale(1.0 / 0.972222);
+
+ TH1* hist2 = 0;
+ GetSumOfRatios(h, hMixed, &hist2, step, 0, 10, 5.01, 9.99, kTRUE);
+
+ c = new TCanvas("c", "c", 1200, 400);
+ c->Divide(3, 1);
+
+ c->cd(1); hist1->DrawCopy("SURF1");
+ c->cd(2); hist2->DrawCopy("SURF1");
+
+ hist1->SetStats(0);
+ hist1->Divide(hist2);
+
+ c->cd(3); hist1->DrawCopy("COLZ");
+}
+
void DrawSameMixed(const char* fileName, const char* fileNamePbPbMix = 0, Int_t step = 6)
{
if (!fileNamePbPbMix)
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);
Printf("Largest deviation in region %d is %f", i, largestDeviation[i]);
}
-void MergeList(const char* prefix = "")
+void MergeList(const char* prefix = "", Bool_t copy = kFALSE)
{
loadlibs();
gSystem->Load("libPWGflowBase");
ifstream in;
in.open("list");
- TFileMerger m(0);
+ TFileMerger m(copy);
TString line;
while (in.good())
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)
+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, Bool_t useCentralityBinsDirectly = kFALSE)
{
h = (AliUEHistograms*) hVoid;
hMixed = (AliUEHistograms*) hMixedVoid;
Int_t centralityBeginBin = 0;
Int_t centralityEndBin = -1;
- if (centralityEnd >= centralityBegin)
+ 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;
+ }
// 2d same and mixed event
TH2* sameTwoD = h->GetUEHist(2)->GetUEHist(step, 0, ptBegin, ptEnd, centralityBeginBin, centralityEndBin, 1, kFALSE);
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);
+ newTitle.Form("%s - %s - %d-%d", str.Data(), str2.Data(), centralityBegin, centralityEnd);
+ if (!useCentralityBinsDirectly)
+ newTitle += "%";
(*hist)->SetTitle(newTitle);
if (0 && hMixed)
Bool_t symmetrizePt = kFALSE;
Int_t maxLeadingPt = 4;
- Int_t maxAssocPt = 7;
- if (0)
+ Int_t maxAssocPt = 6;
+ if (1)
{
//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 };
+ Float_t leadingPtArr[] = { 1.0, 2.0, 3.0, 4.0, 8.0, 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, 8.0, 10.0, 12.0 };
}
- else if (1)
+ else if (0)
{
//Example for the Hadrons_Example wagon
maxLeadingPt = 3;
//pA, trigger from all pT
maxLeadingPt = 1;
maxAssocPt = 10;
- Float_t leadingPtArr[] = { 0.5, 4.0 };
+ Float_t leadingPtArr[] = { 0.3, 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;
}
}
for (Int_t i=0; i<maxLeadingPt; i++)
+ {
for (Int_t j=1; j<maxAssocPt; j++)
{
if(0){
SetupRanges(hMixed3);
// SetupRanges(hMixed3);
- if(0)if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
+ if(1) if (assocPtArr[j] >= leadingPtArr[i+leadingPtOffset])
continue;
TH1* hist1 = 0;
Int_t histType = 1;
- if (0)
+ if (1)
{
// PbPb
Int_t step = 8;
+ Bool_t normalizePerTrigger = kFALSE; // don't do if histograms are to be merged -> Use MergeDPhiFiles below
- GetSumOfRatios(h, hMixed, &hist1, step, 0, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
-// new TCanvas; hist1->DrawClone("SURF1");
-// return;
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 10, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
+ GetSumOfRatios(h, hMixed, &hist5, step, 10, 20, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
+ GetSumOfRatios(h, hMixed, &hist4, step, 20, 40, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
+ GetSumOfRatios(h, hMixed, &hist6, step, 40, 60, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
+ GetSumOfRatios(h, hMixed, &hist2, step, 60, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
+// GetSumOfRatios(h, hMixed, &hist7, step, 70, 80, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
+// GetSumOfRatios(h, hMixed, &hist8, step, 80, 90, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, normalizePerTrigger);
-/* 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)
{
if (h3)
GetSumOfRatios(h3, hMixed3, &hist6, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
}
- else if (1)
+ else if (0)
+ {
+ // pA, V0 as trigger particle detector
+ Int_t step = 6;
+
+ h->GetUEHist(2)->SetSkipScaleMixedEvent(kTRUE);
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 20, 1.01, 1.99, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist2, step, 20, 40, 1.01, 1.99, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist4, step, 40, 60, 1.01, 1.99, kTRUE);
+ GetSumOfRatios(h, hMixed, &hist5, step, 60, 100, 1.01, 1.99, 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 (0)
{
// pp, MB
Int_t step = 8;
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)
+ else if (0)
{
// pp, MB
Int_t step = 8;
GetSumOfRatios(h, hMixed, &hist1, step, 0, 100, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, kTRUE);
}
- else if (1)
+ else if (0)
{
// 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);
}
else if (1)
{
+ // PbPb, MC, impact parameter binning
+ Int_t step = 0;
+
+ Printf(">>>>>>>> Not using GetSumOfRatios!!!");
+
+ GetDistAndFlow(h, hMixed, &hist1, 0, step, 1, 6, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs, -1, kTRUE);
+ GetDistAndFlow(h, hMixed, &hist5, 0, step, 7, 7, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs, -1, kTRUE);
+ GetDistAndFlow(h, hMixed, &hist4, 0, step, 8, 9, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs, -1, kTRUE);
+ GetDistAndFlow(h, hMixed, &hist6, 0, step, 10, 11, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs, -1, kTRUE);
+ GetDistAndFlow(h, hMixed, &hist2, 0, step, 12, 13, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs, -1, kTRUE);
+
+ if (h2)
+ GetDistAndFlow(h2, hMixed2, &hist3, 0, step, 0, -1, leadingPtArr[i] + 0.01, leadingPtArr[i+leadingPtOffset] - 0.01, histType, equivMixedBin, 0, scaleToPairs);
+ }
+ else if (1)
+ {
+ // PbPb, MC
Int_t step = 0;
Printf(">>>>>>>> Not using GetSumOfRatios!!!");
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);
+ if (h2)
+ 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");
// return;
}
+ 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();
+ }
+
delete h;
delete hMixed;
}
+void MergeDPhiFiles(const char* fileName, const char* fileName2, const char* target)
+{
+ // merges the dphi histograms (except the pp histogram at index "2") as well as the triggers
+ // then divides the dphi histograms by the respective number of triggers
+
+ file = TFile::Open(fileName);
+ file2 = TFile::Open(fileName2);
+
+ fileTarget = TFile::Open(target, "RECREATE");
+ fileTarget->Close();
+
+ Int_t maxLeadingPt = 10;
+ Int_t maxAssocPt = 11;
+
+ Int_t nHists = 8;
+ for (Int_t i=0; i<maxLeadingPt; i++)
+ {
+ TH1* triggers = (TH1*) file->Get(Form("triggers_%d", i));
+ if (!triggers)
+ continue;
+
+ TH1* triggers2 = (TH1*) ((file2) ? file2->Get(Form("triggers_%d", i)) : 0);
+ if (!triggers2)
+ Printf("WARNING: trigger %d missing", i);
+
+ for (Int_t j=0; j<maxAssocPt; j++)
+ {
+ for (Int_t histId = 0; histId < nHists; histId++)
+ {
+ TH2* hist = (TH2*) file->Get(Form("dphi_%d_%d_%d", i, j, histId));
+ if (!hist)
+ {
+ TH2* hist2 = (TH2*) ((file2) ? file2->Get(Form("dphi_%d_%d_%d", i, j, histId)) : 0);
+ if (hist2)
+ Printf("WARNING: %d %d %d exists only in file2, not copied!");
+ continue;
+ }
+
+ if (histId != 2) // don't merge pp
+ {
+ TString title(hist->GetTitle());
+ title.ReplaceAll("%", "");
+ tokens = title.Tokenize("-");
+
+ Float_t centralityBegin = ((TObjString*) tokens->At(2))->String().Atoi();
+ Float_t centralityEnd = ((TObjString*) tokens->At(3))->String().Atoi();
+
+ Double_t nTriggers = triggers->Integral(triggers->FindBin(centralityBegin + 0.001), triggers->FindBin(centralityEnd - 0.001));
+ Double_t nTriggers2 = 0;
+
+ TH2* hist2 = (TH2*) ((file2) ? file2->Get(Form("dphi_%d_%d_%d", i, j, histId)) : 0);
+ if (hist2 && triggers2)
+ {
+ if (histId != 1 && histId != 5) // don't merge 60-80% and 40-60%
+ {
+ hist->Add(hist2);
+ nTriggers2 = triggers2->Integral(triggers2->FindBin(centralityBegin + 0.001), triggers2->FindBin(centralityEnd - 0.001));
+ }
+ }
+ else
+ Printf("WARNING: %d %d %d missing", i, j, histId);
+
+ if (nTriggers + nTriggers2 > 0)
+ hist->Scale(1.0 / (nTriggers + nTriggers2));
+
+ Printf("%s %f %f %f %f", hist->GetTitle(), centralityBegin, centralityEnd, nTriggers, nTriggers2);
+ }
+
+ fileTarget = TFile::Open(target, "UPDATE");
+ hist->Write();
+ fileTarget->Close();
+ }
+ }
+ }
+}
+
void ExtractMiniJetHistograms(const char* fileNamePbPb, Bool_t useMixed = kTRUE, const char* outputFile = "dphi_corr.root")
{
loadlibs();
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
+ // remove wing by flattening using the ratio of a flat line to the corr fct at phi = pi +- 1.5 as fct of delta eta
file = TFile::Open(fileName);
file2 = TFile::Open(outputFile, "RECREATE");
title.Form("QA_%d_%s", runNumber, tmp.Data());
c->SetTitle(title);
- gpTMin = 1.0;
+ gpTMin = 1.01;
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");
+ //h->GetUEHist(2)->SetSkipScaleMixedEvent(kTRUE);
- c->cd(9);
- GetSumOfRatios(h, hMixed, &hist1, 6, 0, 20, 1.01, 4.99, kTRUE);
- if (hist1)
- hist1->DrawCopy("SURF1");
+ if (h->GetUEHist(2)->GetTrackHist(0)->GetNVar() > 5)
+ {
+ Int_t step = 8;
+
+ c->cd(3);
+ GetDistAndFlow(h, 0, &hist1, 0, step, 0, 20, 2.01, 2.99, 1);
+ hist1->DrawCopy("SURF1");
+
+ c->cd(6);
+ GetDistAndFlow(hMixed, 0, &hist1, 0, step, 0, 20, 2.01, 2.99, 1);
+ hist1->DrawCopy("SURF1");
+
+ c->cd(9);
+ GetSumOfRatios(h, hMixed, &hist1, step, 0, 20, 2.01, 2.99, kTRUE);
+ if (hist1)
+ hist1->DrawCopy("SURF1");
+ }
c->SaveAs(Form("qa/%s", c->GetTitle()));
}
void FillParentTHnSparse(const char* fileName, Bool_t reduce = kFALSE, const char* tag = "")
{
- if (TString(fileName).BeginsWith("alien:"))
+ TString fileNameStr(fileName);
+
+ if (fileNameStr.BeginsWith("/alice"))
+ {
+ fileNameStr = Form("alien://%s", fileNameStr.Data());
+ if (fileNameStr.EndsWith("merge"))
+ fileNameStr += "/AnalysisResults.root";
+ }
+
+ if (fileNameStr.BeginsWith("alien:"))
TGrid::Connect("alien:");
loadlibs();
TList* list = 0;
- AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileName, &list, kFALSE, tag);
+ AliUEHistograms* h = (AliUEHistograms*) GetUEHistogram(fileNameStr, &list, kFALSE, tag);
Printf("We have %d axes", ((AliTHn*) h->GetUEHist(2)->GetTrackHist(0)->GetNVar()));
if (reduce)
((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->FillParent();
((AliTHn*) h->GetUEHist(2)->GetTrackHist(0))->DeleteContainers();
- AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileName, 0, kTRUE, tag);
+ AliUEHistograms* hMixed = (AliUEHistograms*) GetUEHistogram(fileNameStr, 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);
+ TString newFileName(fileNameStr);
- if (TString(fileName).BeginsWith("alien:"))
+ if (fileNameStr.BeginsWith("alien:"))
newFileName = gSystem->BaseName(newFileName);
newFileName.ReplaceAll(".root", "");
c = new TCanvas("c", "c", 1200, 800);
c->Divide(3, 3);
- c2 = new TCanvas("c2", "c2", 800, 600);
- c2->Divide(2, 2);
+ c2 = new TCanvas("c2", "c2", 800, 900);
+ c2->Divide(2, 3);
h->SetEtaRange(-0.89, 0.89);
// h->SetEtaRange(-1.19, 1.19);
h->SetZVtxRange(0, -1);
+ for (Int_t i=0; i<4; i++)
+ {
+ c2->cd(5);
+ h->SetPartSpecies(i);
+ proj = h->GetUEHist(2)->GetTrackingEfficiency(1);
+ proj->GetYaxis()->SetTitle("tracking efficiency");
+ proj->SetTitle(""); proj->SetStats(0);
+// proj->GetXaxis()->SetTitle("#eta");
+ proj->SetLineColor(i+1);
+ proj->DrawClone((i == 0) ? "" : "SAME");
+ }
+
+ return;
+
/* c->cd(9);
h->GetUEHist(2)->GetTrackingContamination()->Draw("COLZ");*/
new TCanvas;
proj2->Draw();
- return;
-
new TCanvas;
hist = h->GetUEHist(2)->GetCorrelatedContamination();
// if (hist->GetEntries() > 0)
Printf("%f", effCorr->GetEntries());
- TObjString tag2(Form("corrections from file %s", fileName));
+ TObjString tag2(Form("corrections from file %s with tag %s", fileName, tag));
file = TFile::Open("correction.root", "RECREATE");
effCorr->Write();
h->GetUEHist(2)->CondenseBin(step, 3, 1, targetValue, from, to);
hMixed->GetUEHist(2)->CondenseBin(step, 3, 1, targetValue, from, to);
+ Float_t events = h->GetCentralityDistribution()->Integral();
+ h->GetCentralityDistribution()->Reset();
+ h->GetCentralityDistribution()->Fill(targetValue, events);
+
+ events = hMixed->GetCentralityDistribution()->Integral();
+ hMixed->GetCentralityDistribution()->Reset();
+ hMixed->GetCentralityDistribution()->Fill(targetValue, events);
+
TString newFileName(fileName);
newFileName.ReplaceAll(".root", "");
newFileName += "_condensed.root";
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));
}
+
+void Browse(const char* fileName)
+{
+ loadlibs();
+
+ if (!gGrid && TString(fileName).BeginsWith("alien://"))
+ TGrid::Connect("alien://");
+
+ TFile::Open(fileName);
+
+ new TBrowser;
+}
+
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff