-#include "AliAnalysisTaskChargedJetsPA.h"
+#ifndef ALIANALYSISTASKSE_H
+#include <Riostream.h>
+#include <TROOT.h>
+#include <TFile.h>
+#include <TCint.h>
+#include <TChain.h>
+#include <TTree.h>
+#include <TKey.h>
+#include <TProfile.h>
+#include <TProfile2D.h>
+#include <TH1F.h>
+#include <TH2F.h>
+#include <TCanvas.h>
+#include <TList.h>
+#include <TClonesArray.h>
+#include <TObject.h>
+#include <TMath.h>
+#include <TSystem.h>
+#include <TInterpreter.h>
+#include <TH1.h>
+#include "AliAnalysisTask.h"
+#include "AliCentrality.h"
+#include "AliStack.h"
+#include "AliESDEvent.h"
+#include "AliESDInputHandler.h"
+#include "AliAODEvent.h"
+#include "AliAODHandler.h"
+#include "AliAnalysisManager.h"
+#include "AliAnalysisTaskSE.h"
+#endif
+
+#include <time.h>
+#include <TRandom3.h>
+#include "AliGenPythiaEventHeader.h"
+#include "AliAODMCHeader.h"
+#include "AliMCEvent.h"
+#include "AliLog.h"
+#include <AliEmcalJet.h>
+#include <AliPicoTrack.h>
+#include "AliVEventHandler.h"
+#include "AliVParticle.h"
+#include "AliAODMCParticle.h"
+#include "AliAnalysisUtils.h"
+#include "AliRhoParameter.h"
+#include "AliAnalysisTaskChargedJetsPA.h"
+using std::min;
+//TODO: Not accessing the particles when using MC
//TODO: FillHistogram can be done better with virtual TH1(?)
ClassImp(AliAnalysisTaskChargedJetsPA)
void AliAnalysisTaskChargedJetsPA::Init()
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Creating Histograms." << std::endl;
+ AliInfo("Creating histograms.");
#endif
- // NOTE: Track & Cluster & QA histograms
- if (fAnalyzeQA)
- {
-
- AddHistogram1D<TH1D>("hNumberEvents", "Number of events (0 = before, 1 = after vertex cuts)", "", 2, 0, 2, "#Delta z(cm)","N^{Events}/cut");
-
- AddHistogram1D<TH1D>("hAppliedEtaCorrectionFactor", "Applied #eta correction factor for the k_{T} background", "", 500, 0.5, 1.5, "Correction factor","dN^{Jets}/df");
- AddHistogram1D<TH1D>("hAppliedEtaCorrectionFactor2", "Applied #eta correction factor for the k_{T} background 2", "", 500, 0.5, 1.5, "Correction factor","dN^{Jets}/df");
- AddHistogram1D<TH1D>("hVertexZ", "Z distribution of the vertex", "", 400, -40., 40., "#Delta z(cm)","dN^{Events}/dz");
- AddHistogram1D<TH1D>("hVertexR", "R distribution of the vertex", "", 100, 0., 1., "#Delta r(cm)","dN^{Events}/dr");
- AddHistogram1D<TH1D>("hCentrality", "Centrality distribution", "", 5, 0., 100., "Centrality (classes)","dN^{Events}");
+ TH1D* tmpHisto = AddHistogram1D<TH1D>("hNumberEvents", "Number of events (0 = before cuts, 1 = after cuts)", "", 2, 0, 2, "stage","N^{Events}/cut");
+ tmpHisto->GetXaxis()->SetBinLabel(1, "Before cuts");
+ tmpHisto->GetXaxis()->SetBinLabel(2, "After cuts");
- AddHistogram2D<TH2D>("hTrackCountAcc", "Number of tracks in acceptance vs. centrality", "LEGO2", 750, 0., 750., 5, 0, 100, "N tracks","Centrality", "dN^{Events}/dN^{Tracks}");
- AddHistogram2D<TH2D>("hTrackPhiEta", "Track angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -2.5, 2.5, "#phi","#eta","dN^{Tracks}/(d#phi d#eta)");
- AddHistogram1D<TH1D>("hTrackPt", "Tracks p_{T} distribution", "", 20000, 0., 200., "p_{T} (GeV/c)","dN^{Tracks}/dp_{T}");
- AddHistogram1D<TH1D>("hTrackCharge", "Charge", "", 11, -5, 5, "Charge (e)","dN^{Tracks}/dq");
- AddHistogram1D<TH1D>("hTrackEta", "Track #eta distribution", "", 180, -fTrackEtaWindow, +fTrackEtaWindow, "#eta","dN^{Tracks}/d#eta");
+ tmpHisto = AddHistogram1D<TH1D>("hEventAcceptance", "Accepted events (0 = before cuts, 1 = after pile up, 2 = after vertex)", "", 3, 0, 3, "stage","N^{Events}/cut");
+ tmpHisto->GetXaxis()->SetBinLabel(1, "Before cuts");
+ tmpHisto->GetXaxis()->SetBinLabel(2, "After pile up");
+ tmpHisto->GetXaxis()->SetBinLabel(3, "After vertex");
- AddHistogram2D<TH2D>("hClusterCountAcc", "Number of clusters in acceptance vs. centrality", "LEGO2", 750, 0., 750., 5, 0, 100, "N clusters","Centrality", "dN^{Events}/dN^{Clusters}");
- AddHistogram1D<TH1D>("hClusterE", "Clusters energy distribution", "", 20000, 0., 200., "p_{T} (GeV/c)","dN^{Cluster}/dp_{T}");
- }
+ tmpHisto = AddHistogram1D<TH1D>("hTrackAcceptance", "Accepted tracks (0 = before cuts, 1 = after eta, 2 = after pT)", "", 3, 0, 3, "stage","N^{Tracks}/cut");
+ tmpHisto->GetXaxis()->SetBinLabel(1, "Before cuts");
+ tmpHisto->GetXaxis()->SetBinLabel(2, "After eta");
+ tmpHisto->GetXaxis()->SetBinLabel(3, "After pT");
- // NOTE: Pythia histograms
- if (fAnalyzePythia)
- {
- AddHistogram1D<TH1D>("hPythiaPtHard", "Pythia p_{T} hard distribution", "", 2000, 0, 400, "p_{T} hard","dN^{Events}/dp_{T,hard}");
- AddHistogram1D<TProfile>("hPythiaXSection", "Pythia cross section distribution", "", fNumPtHardBins, 0, fNumPtHardBins, "p_{T} hard bin","dN^{Events}/dp_{T,hard}");
- AddHistogram1D<TH1D>("hPythiaNTrials", "Pythia trials (no correction for manual cuts)", "", fNumPtHardBins, 0, fNumPtHardBins, "p_{T} hard bin", "Trials");
- }
+ tmpHisto = AddHistogram1D<TH1D>("hJetAcceptance", "Accepted jets (0 = before cuts, 1 = after eta, 2 = after pT, 3 = after area)", "", 4, 0, 4, "stage","N^{Jets}/cut");
+ tmpHisto->GetXaxis()->SetBinLabel(1, "Before cuts");
+ tmpHisto->GetXaxis()->SetBinLabel(2, "After eta");
+ tmpHisto->GetXaxis()->SetBinLabel(3, "After pT");
+ tmpHisto->GetXaxis()->SetBinLabel(4, "After area");
// NOTE: Jet histograms
if (fAnalyzeJets)
{
// ######## Jet spectra
- AddHistogram1D<TH1D>("hJetPt", "Jets p_{T} distribution", "", 1000, 0., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hJetPtBgrdSubtractedRC", "Jets p_{T} distribution, RC background subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKT", "Jets p_{T} distribution, KT background subtracted, corrected for eta dependence)", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKTNoEtaCorr", "Jets p_{T} distribution, KT background subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKT2", "Jets p_{T} distribution, KT background 2 subtracted, corrected for eta dependence)", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hJetPtBgrdSubtractedKT2NoEtaCorr", "Jets p_{T} distribution, KT background 2 subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram1D<TH1D>("hRawJetPt", "Raw jets p_{T} distribution (before cuts)", "", 500, 0., 250., "p_{T} (GeV/c)", "dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPt", "Jets p_{T} distribution", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTImprovedCMS", "Jets p_{T} distribution, KT background (Improved CMS) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hJetPtBgrdSubtractedTR", "Jets p_{T} distribution, Track background subtracted", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TProfile2D>("hJetPtSubtractedRhoKTImprovedCMS", "Mean subtracted KT (CMS w/o signal) background from jets", "COLZ", 600, 0, 150, fNumberOfCentralityBins, 0, 100, "Jet p_{T}", "Centrality", "#rho mean");
+ AddHistogram2D<TH2D>("hJetPtSubtractedRhoKTImprovedCMS020", "Mean subtracted KT (CMS w/o signal) background from jets, 0-20", "COLZ", 600, 0, 150, 400,0.,40., "Jet p_{T} (GeV/c)", "#rho (GeV/c)", "dN^{Events}/dp_{T}#rho");
+ if(fAnalyzeDeprecatedBackgrounds)
+ {
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedTR", "Jets p_{T} distribution, TR background (Cone R=0.6 around jets excluded) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTPbPb", "Jets p_{T} distribution, KT background (PbPb w/o ghosts) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTPbPbWithGhosts", "Jets p_{T} distribution, KT background (PbPb w/ ghosts) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTCMS", "Jets p_{T} distribution, KT background (CMS) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTMean", "Jets p_{T} distribution, KT background (Mean) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTTrackLike", "Jets p_{T} distribution, KT background (track-like) subtracted", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
+ }
- AddHistogram1D<TH1D>("hJetArea", "Jets area distribution", "", 200, 0., 2., "Area","dN^{Jets}/dA");
- AddHistogram2D<TH2D>("hJetPtArea", "Jets p_{T} distribution", "LEGO2", 1000, 0., 200.,100, 0., 1., "p_{T} (GeV/c)","Area","dN^{Jets}/(dp_{T}dA)");
- AddHistogram1D<TH1D>("hJetDeltaPhi", "Jets combinatorial #Delta #phi", "", 250, 0., TMath::Pi(), "#Delta #phi","dN^{Jets}/d(#Delta #phi)");
- AddHistogram2D<TH2D>("hJetDeltaPhiPt", "Jets combinatorial #Delta #phi vs. p_{T}", "LEGO2", 250, 0., TMath::Pi(), 20, 0.,100., "#Delta #phi","max(p_{T,1},p_{T,2}) (GeV/c)","dN^{Jets}/d(#Delta #phi)dp_{T}");
- AddHistogram1D<TH1D>("hLeadingJetDeltaPhi", "1st and 2nd leading jet #Delta #phi", "", 250, 0., TMath::Pi(), "#Delta #phi","dN^{Jets}/d(#Delta #phi)");
- AddHistogram2D<TH2D>("hLeadingJetDeltaPhiPt", "1st and 2nd leading jet #Delta #phi vs. p_{T}", "LEGO2", 250, 0., TMath::Pi(),20, 0.,100., "#Delta #phi","1st leading p_{T} (GeV/c)","dN^{Jets}/d(#Delta #phi)dp_{T}");
- AddHistogram2D<TH2D>("hJetPtEta", "Jets p_{T} distribution", "LEGO2", 1000, 0., 200.,100, -0.6, 0.6, "p_{T} (GeV/c)","#eta","dN^{Jets}/(dp_{T}d#eta)");
- AddHistogram2D<TH2D>("hJetPtPhi", "Jets p_{T} #phi distribution", "LEGO2", 1000, 0., 200.,100, 0.0, TMath::TwoPi(), "p_{T} (GeV/c)","#phi","dN^{Jets}/(dp_{T}d#phi)");
- AddHistogram2D<TH2D>("hJetPtCentrality", "Jets p_{T} distribution", "LEGO2", 1000, 0., 200.,5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPhiEta", "Jets angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -0.6, 0.6, "#phi","#eta","dN^{Jets}/(d#phi d#eta)");
+ // ######## Jet stuff
+ AddHistogram2D<TH2D>("hJetConstituentPt", "Jet constituents p_{T} distribution", "", 500, -50., 200., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Tracks}/dp_{T}");
AddHistogram1D<TH1D>("hJetCountAll", "Number of Jets", "", 200, 0., 200., "N jets","dN^{Events}/dN^{Jets}");
AddHistogram1D<TH1D>("hJetCountAccepted", "Number of accepted Jets", "", 200, 0., 200., "N jets","dN^{Events}/dN^{Jets}");
+ AddHistogram2D<TH2D>("hJetCount", "Correlation jets/accepted jets", "", 200, 0., 200., 200, 0., 200., "N jets","N jets accepted", "d^{2}N^{Events}/dN^{Jets dN^{Jets, acc}}");
+ AddHistogram1D<TH1D>("hLeadingJetPt", "Leading jet p_{T}", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram1D<TH1D>("hSecondLeadingJetPt", "Second leading jet p_{T}", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram1D<TH1D>("hCorrectedLeadingJetPt", "Corrected leading jet p_{T}", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram1D<TH1D>("hCorrectedSecondLeadingJetPt", "Corrected second leading jet p_{T}", "", 500, -50., 200., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram1D<TH1D>("hJetDeltaPhi", "Jets combinatorial #Delta #phi", "", 250, 0., TMath::Pi(), "#Delta #phi","dN^{Jets}/d(#Delta #phi)");
+ AddHistogram1D<TH1D>("hLeadingJetDeltaPhi", "1st and 2nd leading jet #Delta #phi", "", 250, 0., TMath::Pi(), "#Delta #phi","dN^{Jets}/d(#Delta #phi)");
- AddHistogram1D<TH1D>("hLeadingJetPt", "Leading jet p_{T}", "", 500, 0, 100, "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hSecondLeadingJetPt", "Second Leading jet p_{T}", "", 500, 0, 100, "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
-
- AddHistogram1D<TH1D>("hDijetConstituentsPt", "Dijet constituents p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ // ########## Dijet stuff
AddHistogram1D<TH1D>("hDijetLeadingJetPt", "Dijet leading jet p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
+ AddHistogram1D<TH1D>("hDijetConstituentsPt", "Dijet constituents p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
AddHistogram2D<TH2D>("hDijetPtCorrelation", "Dijet constituents p_{T} correlation", "COLZ", 500, 5., 100., 500, 5., 100., "1st leading jet p_{T} (GeV/c)","2nd leading jet p_{T} (GeV/c)","dN^{Dijets}/d^{2}p_{T}");
-
- AddHistogram1D<TH1D>("hDijet2ConstituentsPt", "Dijet2 constituents p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram1D<TH1D>("hDijet2LeadingJetPt", "Dijet2 leading jet p_{T} distribution", "", 500, 0., 100., "p_{T} (GeV/c)","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hDijet2PtCorrelation", "Dijet2 constituents p_{T} correlation", "COLZ", 500, 5., 100., 500, 5., 100., "1st leading jet p_{T} (GeV/c)","2nd leading jet p_{T} (GeV/c)","dN^{Dijets}/d^{2}p_{T}");
-
}
+
// NOTE: Jet background histograms
if (fAnalyzeBackground)
{
- // ########## Delta Pt
- AddHistogram1D<TH1D>("hDeltaPtKT", "Background fluctuations #delta p_{T} (KT, 0 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtKT1Excl", "Background fluctuations #delta p_{T} (KT, 1 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtKT2Excl", "Background fluctuations #delta p_{T} (KT, 2 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
-
- Double_t dptEtaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * fKTDeltaPtEtaBin;
- Double_t dptEtaMax = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (fKTDeltaPtEtaBin+1);
-
- AddHistogram1D<TH1D>("hDeltaPtKTEta", Form("Background fluctuations #delta p_{T} (KT, 0 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtKTEta1Excl", Form("Background fluctuations #delta p_{T} (KT, 1 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtKTEta2Excl", Form("Background fluctuations #delta p_{T} (KT, 2 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
-
- AddHistogram1D<TH1D>("hDeltaPtKT2Eta2Excl", Form("Background fluctuations #delta p_{T} (KT 2, 2 jets excluded, #eta=%1.3f to %1.3f)", dptEtaMin,dptEtaMax), "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
-
- AddHistogram1D<TH1D>("hDeltaPtRC", "Background fluctuations #delta p_{T} (RC, 0 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtRC1Excl", "Background fluctuations #delta p_{T} (RC, 1 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtRC2Excl", "Background fluctuations #delta p_{T} (RC, 2 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
-
- AddHistogram1D<TH1D>("hDeltaPtTR", "Background fluctuations #delta p_{T} (TR, 0 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtTR1Excl", "Background fluctuations #delta p_{T} (TR, 1 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
- AddHistogram1D<TH1D>("hDeltaPtTR2Excl", "Background fluctuations #delta p_{T} (TR, 2 jets excluded)", "", 500, -20., 80., "#delta p_{T} (GeV/c)","dN^{Jets}/d#delta p_{T}");
-
-
-
- AddHistogram2D<TH2D>("hKTJetPhiEta", "KT Jets angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -0.6, 0.6, "#phi","#eta","dN^{Jets}/(d#phi d#eta)");
- AddHistogram2D<TH2D>("hKTLeadingJetPhiEta", "KT Leading jets angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -0.6, 0.6, "#phi","#eta","dN^{Jets}/(d#phi d#eta)");
-
- AddHistogram1D<TH1D>("hDijetBackground", "Background density (dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram1D<TH1D>("hDijetBackgroundMostCentral", "Background density (0-20 centrality, dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hDijetBackgroundVsCentrality", "Background density vs. centrality (dijets excluded)", "", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
-
- AddHistogram1D<TH1D>("hDijetBackgroundPerpendicular", "Background density (dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram1D<TH1D>("hDijetBackgroundPerpendicularMostCentral", "Background density (0-20 centrality, dijets excluded)", "", 400, 0., 40., "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hDijetBackgroundPerpendicularVsCentrality", "Background density vs. centrality (dijets excluded)", "", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
-
- AddHistogram2D<TH2D>("hRCBackground", "RC background density (2 leading jets excluded, mean(8 RCs))", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
-
- AddHistogram1D<TH1D>("hAccConesInRCBackground", Form("Number of cones used for RC background (|#eta| < %1.1f)", fSignalJetEtaWindow), "", 8, 0, 8, "Used cones", "dN^{Events}/dN^{Cones}");
-
- AddHistogram2D<TH2D>("hRCBackgroundMostCentral", "RC background density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hRCBackgroundMostPeripheral", "RC background density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hRCBackgroundVsCentrality", "RC background density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
-
-
- AddHistogram2D<TH2D>("hKTBackground", "KT background density (2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackgroundMostCentral", "KT background density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackgroundMostPeripheral", "KT background density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackgroundVsCentrality", "KT background density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
-
- AddHistogram2D<TH2D>("hKTBackground2", "KT background 2 density (2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackground2MostCentral", "KT background 2 density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackground2MostPeripheral", "KT background 2 density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackground2VsCentrality", "KT background 2 density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ // ########## Default background estimates
+ AddHistogram2D<TH2D>("hKTBackgroundImprovedCMS", "KT background density (Improved CMS approach)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hKTBackgroundImprovedCMSExternal", "KT background density (Improved CMS approach from external task)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hDeltaPtKTImprovedCMS", "Background fluctuations #delta p_{T} (KT, Improved CMS-like)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTImprovedCMSPartialExclusion", "Background fluctuations #delta p_{T} (KT, Improved CMS-like, partial jet exclusion)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTImprovedCMSPartialExclusion_Signal", "Background fluctuations #delta p_{T} (KT, Improved CMS-like, partial jet exclusion w/ 1/N_{sig} probability)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTImprovedCMSFullExclusion", "Background fluctuations #delta p_{T} (KT, Improved CMS-like, full leading jet exclusion)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtNoBackground", "Background fluctuations #delta p_{T} (No background)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtNoBackgroundNoEmptyCones", "Background fluctuations #delta p_{T} (No background, no empty cones)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+
+ AddHistogram1D<TProfile>("hKTMeanBackgroundImprovedCMS", "KT background mean (Improved CMS approach)", "", 100, 0, 100, "Centrality", "#rho mean");
+
+ AddHistogram2D<TH2D>("hDijetBackground", "Background density (dijets excluded)", "", 200, 0., 20., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hDijetBackgroundPerpendicular", "Background density (dijets excluded)", "", 200, 0., 20., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+
+ if(fAnalyzeDeprecatedBackgrounds)
+ {
+ // ########## Different background estimates
+ AddHistogram2D<TH2D>("hKTBackgroundPbPb", "KT background density (PbPb approach, no ghosts)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hKTBackgroundPbPbWithGhosts", "KT background density (PbPb approach w/ ghosts)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hKTBackgroundCMS", "KT background density (CMS approach)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hKTBackgroundMean", "KT background density (Mean approach)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hKTBackgroundTrackLike", "KT background density (Track-like approach)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+
+ AddHistogram2D<TH2D>("hTRBackgroundNoExcl", "TR background density (No signal excluded)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hTRBackgroundCone02", "TR background density (Cones R=0.2 around signal jets excluded)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hTRBackgroundCone04", "TR background density (Cones R=0.4 around signal jets excluded)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hTRBackgroundCone06", "TR background density (Cones R=0.6 around signal jets excluded)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hTRBackgroundCone08", "TR background density (Cones R=0.8 around signal jets excluded)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ AddHistogram2D<TH2D>("hTRBackgroundExact", "TR background density (signal jets exactly excluded)", "LEGO2", 400, 0., 40., fNumberOfCentralityBins, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+
+ // ########## Delta Pt
+ AddHistogram2D<TH2D>("hDeltaPtKTPbPb", "Background fluctuations #delta p_{T} (KT, PbPb w/o ghosts)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTPbPbWithGhosts", "Background fluctuations #delta p_{T} (KT, PbPb w/ ghosts)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTCMS", "Background fluctuations #delta p_{T} (KT, CMS-like)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTMean", "Background fluctuations #delta p_{T} (KT, Mean)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtKTTrackLike", "Background fluctuations #delta p_{T} (KT, track-like)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+ AddHistogram2D<TH2D>("hDeltaPtTR", "Background fluctuations #delta p_{T} (TR, cone R=0.6)", "", 1201, -40.0, 40.0, fNumberOfCentralityBins, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
+
+ // ########## Profiles for background means vs. centrality
+ AddHistogram1D<TProfile>("hKTMeanBackgroundPbPb", "KT background mean (PbPb approach w/o ghosts)", "", fNumberOfCentralityBins, 0, 100, "Centrality", "#rho mean");
+ AddHistogram1D<TProfile>("hKTMeanBackgroundPbPbWithGhosts", "KT background mean (PbPb approach)", "", fNumberOfCentralityBins, 0, 100, "Centrality", "#rho mean");
+ AddHistogram1D<TProfile>("hKTMeanBackgroundCMS", "KT background mean (CMS approach)", "", fNumberOfCentralityBins, 0, 100, "Centrality", "#rho mean");
+ AddHistogram1D<TProfile>("hKTMeanBackgroundMean", "KT background mean (Mean approach)", "", fNumberOfCentralityBins, 0, 100, "Centrality", "#rho mean");
+ AddHistogram1D<TProfile>("hKTMeanBackgroundTPC", "KT background mean (Track-like approach)", "", fNumberOfCentralityBins, 0, 100, "Centrality", "#rho mean");
+ AddHistogram1D<TProfile>("hTRMeanBackground", "TR background mean", "", fNumberOfCentralityBins, 0, 100, "Centrality", "#rho mean");
+ }
+ }
- AddHistogram2D<TH2D>("hTrackBackground", "Track background density (2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hTrackBackgroundMostCentral", "Track background density (0-20 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hTrackBackgroundMostPeripheral", "Track background density (80-100 centrality, 2 leading jets excluded)", "LEGO2", fBackgroundEtaBins, -(fTrackEtaWindow-fRandConeRadius), +(fTrackEtaWindow-fRandConeRadius), 400, 0., 40., "#eta", "#rho (GeV/c)","dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hTrackBackgroundVsCentrality", "Track background density vs centrality (2 leading jets excluded)", "LEGO2", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
+ // NOTE: Track & Cluster & QA histograms
+ if (fAnalyzeQA)
+ {
+ AddHistogram1D<TH1D>("hVertexX", "X distribution of the vertex", "", 2000, -1., 1., "#Delta x(cm)","dN^{Events}/dx");
+ AddHistogram1D<TH1D>("hVertexY", "Y distribution of the vertex", "", 2000, -1., 1., "#Delta y(cm)","dN^{Events}/dy");
+ AddHistogram2D<TH2D>("hVertexXY", "XY distribution of the vertex", "COLZ", 500, -1., 1., 500, -1., 1.,"#Delta x(cm)", "#Delta y(cm)","dN^{Events}/dxdy");
+ AddHistogram1D<TH1D>("hVertexZ", "Z distribution of the vertex", "", 200, -20., 20., "#Delta z(cm)","dN^{Events}/dz");
+ AddHistogram1D<TH1D>("hVertexR", "R distribution of the vertex", "", 100, 0., 1., "#Delta r(cm)","dN^{Events}/dr");
+ AddHistogram1D<TH1D>("hCentralityV0M", "Centrality distribution V0M", "", fNumberOfCentralityBins, 0., 100., "Centrality","dN^{Events}");
+ AddHistogram1D<TH1D>("hCentralityV0A", "Centrality distribution V0A", "", fNumberOfCentralityBins, 0., 100., "Centrality","dN^{Events}");
+ AddHistogram1D<TH1D>("hCentralityV0C", "Centrality distribution V0C", "", fNumberOfCentralityBins, 0., 100., "Centrality","dN^{Events}");
+
+ AddHistogram2D<TH2D>("hTrackCountAcc", "Number of tracks in acceptance vs. centrality", "LEGO2", 750, 0., 750., fNumberOfCentralityBins, 0, 100, "N tracks","Centrality", "dN^{Events}/dN^{Tracks}");
+ AddHistogram2D<TH2D>("hTrackPt", "Tracks p_{T} distribution", "", 1000, 0., 250., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)", "Centrality", "dN^{Tracks}/dp_{T}");
+ AddHistogram2D<TH2D>("hTrackPtNegEta", "Tracks p_{T} distribution (negative #eta)", "", 1000, 0., 250., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Tracks}/dp_{T}");
+ AddHistogram2D<TH2D>("hTrackPtPosEta", "Tracks p_{T} distribution (positive #eta)", "", 1000, 0., 250., fNumberOfCentralityBins, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Tracks}/dp_{T}");
+ AddHistogram1D<TH1D>("hTrackCharge", "Charge", "", 11, -5, 5, "Charge (e)","dN^{Tracks}/dq");
+ AddHistogram1D<TH1D>("hTrackPhi", "Track #phi distribution", "", 360, 0, TMath::TwoPi(), "#phi","dN^{Tracks}/d#phi");
+ AddHistogram2D<TH2D>("hTrackPhiEta", "Track angular distribution", "LEGO2", 100, 0., 2*TMath::Pi(),100, -2.5, 2.5, "#phi","#eta","dN^{Tracks}/(d#phi d#eta)");
+ AddHistogram2D<TH2D>("hTrackPhiPtCut", "Track #phi distribution for different pT cuts", "LEGO2", 360, 0, TMath::TwoPi(), 20, 0, 20, "#phi", "p_{T} lower cut", "dN^{Tracks}/d#phi dp_{T}");
+ AddHistogram2D<TH2D>("hTrackPhiLabel", "Track #phi distribution for different labels", "LEGO2", 360, 0, TMath::TwoPi(), 3, 0, 3, "#phi", "Label", "dN^{Tracks}/d#phi");
+ AddHistogram2D<TH2D>("hTrackPhiTrackType", "Track #phi distribution for different track types", "LEGO2", 360, 0, TMath::TwoPi(), 3, 0, 3, "#phi", "Label", "dN^{Tracks}/d#phi");
+ AddHistogram1D<TH1D>("hTrackEta", "Track #eta distribution", "", 180, -fTrackEtaWindow, +fTrackEtaWindow, "#eta","dN^{Tracks}/d#eta");
+ if (fAnalyzeJets)
+ {
+ // ######## Jet QA
+ AddHistogram1D<TH1D>("hRawJetArea", "Jets area distribution w/o area cut", "", 200, 0., 2., "Area","dN^{Jets}/dA");
+ AddHistogram1D<TH1D>("hJetArea", "Jets area distribution", "", 200, 0., 2., "Area","dN^{Jets}/dA");
+ AddHistogram2D<TH2D>("hRawJetPhiEta", "Raw Jets angular distribution w/o #eta cut", "LEGO2", 360, 0., 2*TMath::Pi(),100, -1.0, 1.0, "#phi","#eta","dN^{Jets}/(d#phi d#eta)");
+ AddHistogram2D<TH2D>("hJetPhiEta", "Jets angular distribution", "LEGO2", 360, 0., 2*TMath::Pi(),100, -1.0, 1.0, "#phi","#eta","dN^{Jets}/(d#phi d#eta)");
+ AddHistogram2D<TH2D>("hJetPtVsConstituentCount", "Jets number of constituents vs. jet p_{T}", "COLZ", 400, 0., 200., 100, 0., 100., "p_{T}","N^{Tracks}","dN^{Jets}/(dp_{T} dN^{tracks})");
+ }
}
-
+ // NOTE: Pythia histograms
+ if (fAnalyzePythia)
+ {
+ AddHistogram1D<TH1D>("hPythiaPtHard", "Pythia p_{T} hard distribution", "", 2000, 0, 400, "p_{T} hard","dN^{Events}/dp_{T,hard}");
+ }
// register Histograms
for (Int_t i = 0; i < fHistCount; i++)
}
//________________________________________________________________________
-AliAnalysisTaskChargedJetsPA::AliAnalysisTaskChargedJetsPA(const char *name, const char* trackArrayName, const char* clusterArrayName, const char* jetArrayName, const char* backgroundJetArrayName) : AliAnalysisTaskSE(name), fOutputList(0), fAnalyzeQA(1), fAnalyzeJets(1), fAnalyzeBackground(1), fAnalyzePythia(0), fHasTracks(0), fHasClusters(0), fHasJets(0), fHasBackgroundJets(0), fIsMC(0), fJetArray(0), fTrackArray(0), fClusterArray(0), fBackgroundJetArray(0), fJetArrayName(0), fTrackArrayName(0), fClusterArrayName(0), fBackgroundJetArrayName(0), fNumPtHardBins(11), fRandConeRadius(0.4), fSignalJetRadius(0.4), fBackgroundJetRadius(0.4), fKTDeltaPtEtaBin(3), fTrackBackgroundConeRadius(0.4), fNumberRandCones(8), fNumberExcludedJets(2), fDijetMaxAngleDeviation(10.0), fBackgroundEtaBins(5), fJetBgrdCorrectionFactors(0), fSignalJetEtaWindow(0.5), fBackgroundJetEtaWindow(0.5), fTrackEtaWindow(0.9), fClusterEtaWindow(0.7), fVertexWindow(10.0), fVertexMaxR(1.0), fMinVertexContributors(1), fMinTrackPt(0.150), fMinClusterPt(0.300), fMinJetPt(1.0), fMinJetArea(0.4), fMinBackgroundJetPt(0.15), fMinDijetLeadingPt(10.0), fFirstLeadingJet(0), fSecondLeadingJet(0), fNumberSignalJets(0), fCrossSection(0.0), fTrials(0.0), fRandom(0), fInitialized(0), fTaskInstanceCounter(0), fHistList(0), fHistCount(0)
+AliAnalysisTaskChargedJetsPA::AliAnalysisTaskChargedJetsPA(const char *name, const char* trackArrayName, const char* jetArrayName, const char* backgroundJetArrayName) : AliAnalysisTaskSE(name), fOutputList(0), fAnalyzeJets(1), fAnalyzeQA(1), fAnalyzeBackground(1), fAnalyzeDeprecatedBackgrounds(1), fAnalyzePythia(0), fHasTracks(0), fHasJets(0), fHasBackgroundJets(0), fIsKinematics(0), fUseVertexCut(1), fUsePileUpCut(1), fPartialAnalysisNParts(1), fPartialAnalysisIndex(0), fJetArray(0), fTrackArray(0), fBackgroundJetArray(0), fJetArrayName(0), fTrackArrayName(0), fBackgroundJetArrayName(0), fNumPtHardBins(11), fUsePtHardBin(-1), fRhoTaskName(), fNcoll(6.88348), fRandConeRadius(0.4), fSignalJetRadius(0.4), fBackgroundJetRadius(0.4), fTRBackgroundConeRadius(0.6), fNumberRandCones(8), fNumberExcludedJets(-1), fDijetMaxAngleDeviation(10.0), fPhysicalJetRadius(0.6), fSignalJetEtaWindow(0.5), fBackgroundJetEtaWindow(0.5), fTrackEtaWindow(0.9), fMinTrackPt(0.150), fMinJetPt(1.0), fMinJetArea(0.5), fMinBackgroundJetPt(0.0), fMinDijetLeadingPt(10.0), fNumberOfCentralityBins(100), fCentralityType("V0A"), fFirstLeadingJet(0), fSecondLeadingJet(0), fNumberSignalJets(0), fCrossSection(0.0), fTrials(0.0), fRandom(0), fHelperClass(0), fInitialized(0), fTaskInstanceCounter(0), fHistList(0), fHistCount(0), fIsDEBUG(0), fEventCounter(0)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calling Constructor." << std::endl;
+ AliInfo("Calling constructor.");
#endif
- // Constructor
- // Define input and output slots here (never in the dummy constructor)
- // Input slot #0 works with a TChain - it is connected to the default input container
- // Output slot #1 writes into a TH1 container
- // Constructor
-
// Every instance of this task gets his own number
static Int_t instance = 0;
fTaskInstanceCounter = instance;
instance++;
fTrackArrayName = new TString(trackArrayName);
- fClusterArrayName = new TString(clusterArrayName);
- if (strcmp(fTrackArrayName->Data(),"") == 0)
- fAnalyzeQA = kFALSE;
- else
- {
- fAnalyzeQA = kTRUE;
- if (fTrackArrayName->Contains("MCParticles")) //TODO: Hardcoded for now
- fIsMC = kTRUE;
- }
+ if (fTrackArrayName->Contains("MCParticles") || fTrackArrayName->Contains("mcparticles"))
+ fIsKinematics = kTRUE;
fJetArrayName = new TString(jetArrayName);
if (strcmp(fJetArrayName->Data(),"") == 0)
fHistList = new TList();
+ for(Int_t i=0;i<1024;i++)
+ fSignalJets[i] = NULL;
+
+
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calling Constructor DONE." << std::endl;
+ AliInfo("Constructor done.");
#endif
}
return tmpConePt;
}
+
//________________________________________________________________________
inline Double_t AliAnalysisTaskChargedJetsPA::GetPtHard()
{
- Double_t tmpPtHard = -1.0;
+ #ifdef DEBUGMODE
+ AliInfo("Starting GetPtHard.");
+ #endif
+ AliGenPythiaEventHeader* pythiaHeader = dynamic_cast<AliGenPythiaEventHeader*>(MCEvent()->GenEventHeader());
+ if (MCEvent())
+ if (!pythiaHeader)
+ {
+ // Check if AOD
+ AliAODMCHeader* aodMCH = dynamic_cast<AliAODMCHeader*>(InputEvent()->FindListObject(AliAODMCHeader::StdBranchName()));
- if (!MCEvent())
- AliError("MCEvent not accessible although demanded!");
- else
- {
- AliGenPythiaEventHeader* pythiaHeader = dynamic_cast<AliGenPythiaEventHeader*>(MCEvent()->GenEventHeader());
+ if (aodMCH)
+ {
+ for(UInt_t i = 0;i<aodMCH->GetNCocktailHeaders();i++)
+ {
+ pythiaHeader = dynamic_cast<AliGenPythiaEventHeader*>(aodMCH->GetCocktailHeader(i));
+ if (pythiaHeader) break;
+ }
+ }
+ }
+
+ #ifdef DEBUGMODE
+ AliInfo("Ending GetPtHard.");
+ #endif
+ if (pythiaHeader)
+ return pythiaHeader->GetPtHard();
+
+ AliWarning(Form("In task %s: GetPtHard() failed!", GetName()));
+ return -1.0;
+}
+
+
+//________________________________________________________________________
+inline Double_t AliAnalysisTaskChargedJetsPA::GetPythiaTrials()
+{
+ #ifdef DEBUGMODE
+ AliInfo("Starting GetPythiaTrials.");
+ #endif
+ AliGenPythiaEventHeader* pythiaHeader = dynamic_cast<AliGenPythiaEventHeader*>(MCEvent()->GenEventHeader());
+ if (MCEvent())
if (!pythiaHeader)
- AliError("Pythia Header not accessible!");
- else
- tmpPtHard = pythiaHeader->GetPtHard();
- }
- return tmpPtHard;
+ {
+ // Check if AOD
+ AliAODMCHeader* aodMCH = dynamic_cast<AliAODMCHeader*>(InputEvent()->FindListObject(AliAODMCHeader::StdBranchName()));
+
+ if (aodMCH)
+ {
+ for(UInt_t i = 0;i<aodMCH->GetNCocktailHeaders();i++)
+ {
+ pythiaHeader = dynamic_cast<AliGenPythiaEventHeader*>(aodMCH->GetCocktailHeader(i));
+ if (pythiaHeader) break;
+ }
+ }
+ }
+
+ #ifdef DEBUGMODE
+ AliInfo("Ending GetPythiaTrials.");
+ #endif
+ if (pythiaHeader)
+ return pythiaHeader->Trials();
+
+ AliWarning(Form("In task %s: GetPythiaTrials() failed!", GetName()));
+ return -1.0;
}
+
+
//________________________________________________________________________
inline Int_t AliAnalysisTaskChargedJetsPA::GetPtHardBin()
{
+ #ifdef DEBUGMODE
+ AliInfo("Starting GetPtHardBin.");
+ #endif
// ########## PT HARD BIN EDGES
- const Int_t localkPtHardLowerEdges[] = { 0, 5,11,21,36,57, 84,117,152,191,234};
- const Int_t localkPtHardHigherEdges[] = { 5,11,21,36,57,84,117,152,191,234,1000000};
+ const Int_t kPtHardLowerEdges[] = { 0, 5,11,21,36,57, 84,117,152,191,234};
+ const Int_t kPtHardHigherEdges[] = { 5,11,21,36,57,84,117,152,191,234,1000000};
Int_t tmpPtHardBin = 0;
Double_t tmpPtHard = GetPtHard();
for (tmpPtHardBin = 0; tmpPtHardBin <= fNumPtHardBins; tmpPtHardBin++)
- if (tmpPtHard >= localkPtHardLowerEdges[tmpPtHardBin] && tmpPtHard < localkPtHardHigherEdges[tmpPtHardBin])
+ if (tmpPtHard >= kPtHardLowerEdges[tmpPtHardBin] && tmpPtHard < kPtHardHigherEdges[tmpPtHardBin])
break;
+ #ifdef DEBUGMODE
+ AliInfo("Ending GetPtHardBin.");
+ #endif
return tmpPtHardBin;
}
+//________________________________________________________________________
+Double_t AliAnalysisTaskChargedJetsPA::GetExternalRho()
+{
+ // Get rho from event.
+ AliRhoParameter *rho = 0;
+ if (!fRhoTaskName.IsNull()) {
+ rho = dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(fRhoTaskName.Data()));
+ if (!rho) {
+ AliWarning(Form("%s: Could not retrieve rho with name %s!", GetName(), fRhoTaskName.Data()));
+ return 0;
+ }
+ }
+ else
+ return 0;
+
+ return (rho->GetVal());
+}
+
//________________________________________________________________________
inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInCone(AliVTrack* track, Double_t eta, Double_t phi, Double_t radius)
}
//________________________________________________________________________
-inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInAcceptance(AliVParticle* track)
+inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInJet(AliEmcalJet* jet, Int_t trackIndex)
{
- if (track != 0)
- if (TMath::Abs(track->Eta()) <= fTrackEtaWindow)
- if (track->Pt() >= fMinTrackPt)
- return kTRUE;
+ for (Int_t i = 0; i < jet->GetNumberOfTracks(); ++i)
+ {
+ Int_t jetTrack = jet->TrackAt(i);
+ if (jetTrack == trackIndex)
+ return kTRUE;
+ }
+ return kFALSE;
+}
+//________________________________________________________________________
+inline Bool_t AliAnalysisTaskChargedJetsPA::IsJetOverlapping(AliEmcalJet* jet1, AliEmcalJet* jet2)
+{
+ for (Int_t i = 0; i < jet1->GetNumberOfTracks(); ++i)
+ {
+ Int_t jet1Track = jet1->TrackAt(i);
+ for (Int_t j = 0; j < jet2->GetNumberOfTracks(); ++j)
+ {
+ Int_t jet2Track = jet2->TrackAt(j);
+ if (jet1Track == jet2Track)
+ return kTRUE;
+ }
+ }
return kFALSE;
}
//________________________________________________________________________
-inline Bool_t AliAnalysisTaskChargedJetsPA::IsClusterInAcceptance(AliVCluster* cluster)
+inline Bool_t AliAnalysisTaskChargedJetsPA::IsEventInAcceptance(AliVEvent* event)
{
- if (cluster != 0)
- // if (TMath::Abs(cluster->Eta()) <= fClusterEtaWindow)
-// if (cluster->Phi() <= 187.0/360.0 * TMath::TwoPi());
-// if (cluster->Phi() >= 80.0/360.0 * TMath::TwoPi());
- if (cluster->E() >= fMinClusterPt)
- return kTRUE;
+ if (!event)
+ return kFALSE;
- return kFALSE;
+ FillHistogram("hEventAcceptance", 0.5); // number of events before manual cuts
+ if(fUsePileUpCut)
+ if(fHelperClass->IsPileUpEvent(event))
+ return kFALSE;
+
+ FillHistogram("hEventAcceptance", 1.5); // number of events after pileup cuts
+
+ if(fAnalyzeQA)
+ FillHistogram("hVertexZ",event->GetPrimaryVertex()->GetZ());
+
+ if(fUseVertexCut)
+ if(!fHelperClass->IsVertexSelected2013pA(event))
+ return kFALSE;
+ FillHistogram("hEventAcceptance", 2.5); // number of events after vertex cut
+
+ return kTRUE;
}
+//________________________________________________________________________
+inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInAcceptance(AliVParticle* track)
+{
+ FillHistogram("hTrackAcceptance", 0.5);
+ if (track != 0)
+ {
+ if(fIsKinematics)
+ {
+ // TODO: Only working for AOD MC
+ if((!track->Charge()) || (!(static_cast<AliAODMCParticle*>(track))->IsPhysicalPrimary()) )
+ return kFALSE;
+ }
+ if (TMath::Abs(track->Eta()) <= fTrackEtaWindow)
+ {
+ FillHistogram("hTrackAcceptance", 1.5);
+ if (track->Pt() >= fMinTrackPt)
+ {
+ FillHistogram("hTrackAcceptance", 2.5);
+ return kTRUE;
+ }
+ }
+ }
+ return kFALSE;
+}
//________________________________________________________________________
inline Bool_t AliAnalysisTaskChargedJetsPA::IsBackgroundJetInAcceptance(AliEmcalJet *jet)
//________________________________________________________________________
inline Bool_t AliAnalysisTaskChargedJetsPA::IsSignalJetInAcceptance(AliEmcalJet *jet)
{
+ FillHistogram("hJetAcceptance", 0.5);
if (jet != 0)
if (TMath::Abs(jet->Eta()) <= fSignalJetEtaWindow)
+ {
+ FillHistogram("hJetAcceptance", 1.5);
if (jet->Pt() >= fMinJetPt)
+ {
+ FillHistogram("hJetAcceptance", 2.5);
if (jet->Area() >= fMinJetArea)
+ {
+ FillHistogram("hJetAcceptance", 3.5);
return kTRUE;
-
+ }
+ }
+ }
return kFALSE;
}
void AliAnalysisTaskChargedJetsPA::ExecOnce()
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Starting ExecOnce." << std::endl;
+ AliInfo("Starting ExecOnce.");
#endif
fInitialized = kTRUE;
fHasTracks = kTRUE;
if (!fTrackArray)
{
- AliInfo(Form("%s: Could not retrieve tracks %s! This is OK, if tracks are not demanded.", GetName(), fTrackArrayName->Data()));
+ AliWarning(Form("%s: Could not retrieve tracks %s! This is OK, if tracks are not demanded.", GetName(), fTrackArrayName->Data()));
fHasTracks = kFALSE;
}
else
}
}
}
- // Check for cluster array
- if (strcmp(fClusterArrayName->Data(), "") != 0)
- {
- fClusterArray = dynamic_cast<TClonesArray*>(InputEvent()->FindListObject(fClusterArrayName->Data()));
- fHasClusters = kTRUE;
- if (!fClusterArray)
- {
- AliInfo(Form("%s: Could not retrieve clusters %s! This is OK, if clusters are not demanded.", GetName(), fClusterArrayName->Data()));
- fHasClusters = kFALSE;
- }
- else
- {
- TClass *cl = fClusterArray->GetClass();
- if (!cl->GetBaseClass("AliVCluster"))
- {
- AliError(Form("%s: Collection %s does not contain AliVCluster objects!", GetName(), fClusterArrayName->Data()));
- fClusterArray = 0;
- fHasClusters = kFALSE;
- }
- }
- }
// Check for jet array
if (strcmp(fJetArrayName->Data(), "") != 0)
if (!fJetArray)
{
- AliInfo(Form("%s: Could not retrieve jets %s! This is OK, if jets are not demanded.", GetName(), fJetArrayName->Data()));
+ AliWarning(Form("%s: Could not retrieve jets %s! This is OK, if jets are not demanded.", GetName(), fJetArrayName->Data()));
fHasJets = kFALSE;
}
else
}
// Look, if initialization is OK
- if ((!fHasTracks && fAnalyzeQA) || (!fHasTracks && fAnalyzeBackground))
+ if (!fHasTracks && fAnalyzeBackground)
{
- AliError(Form("%s: Tracks NOT successfully casted although demanded! Deactivating QA and background analysis",GetName()));
- fAnalyzeQA = kFALSE;
+ AliError(Form("%s: Tracks NOT successfully casted although demanded! Deactivating background analysis",GetName()));
fAnalyzeBackground = kFALSE;
}
if ((!fHasJets && fAnalyzeJets) || (!fHasJets && fAnalyzeBackground))
fAnalyzeBackground = kFALSE;
}
+ // Initialize helper class (for vertex selection & pile up correction)
+ fHelperClass = new AliAnalysisUtils();
+ fHelperClass->SetCutOnZVertexSPD(kFALSE);
// Histogram init
Init();
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": ExecOnce done." << std::endl;
+ AliInfo("ExecOnce done.");
#endif
}
fSecondLeadingJet = NULL;
fNumberSignalJets = 0;
- Float_t maxJetPts[] = {0, 0};
- Int_t jetIDArray[] = {-1, -1};
- Int_t jetCount = fJetArray->GetEntries();
-
- // Go through all jets and save signal jets and the two leading ones
- for (Int_t i = 0; i < jetCount; i++)
+ TList tmpJets;
+ for (Int_t i = 0; i < fJetArray->GetEntries(); i++)
{
AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJetArray->At(i));
if (!jet)
AliError(Form("%s: Could not receive jet %d", GetName(), i));
continue;
}
+ if (!IsSignalJetInAcceptance(jet))
+ continue;
- if (!IsSignalJetInAcceptance(jet)) continue;
-
- if (jet->Pt() > maxJetPts[0])
- {
- maxJetPts[1] = maxJetPts[0];
- jetIDArray[1] = jetIDArray[0];
- maxJetPts[0] = jet->Pt();
- jetIDArray[0] = i;
- }
- else if (jet->Pt() > maxJetPts[1])
+ for (Int_t j = 0; j <= tmpJets.GetEntries(); j++)
{
- maxJetPts[1] = jet->Pt();
- jetIDArray[1] = i;
+ if (j>tmpJets.GetEntries()-1) // When passed last item add the jet at the end
+ {
+ tmpJets.Add(jet);
+ break;
+ }
+
+ AliEmcalJet* listJet = static_cast<AliEmcalJet*>(tmpJets.At(j));
+
+ if(jet->Pt() < listJet->Pt()) // Insert jet before that one in list if pt smaller
+ {
+ tmpJets.AddAt(jet, j);
+ break;
+ }
}
+ }
+
+ for (Int_t i = 0; i < tmpJets.GetEntries(); i++)
+ {
+ AliEmcalJet* jet = static_cast<AliEmcalJet*>(tmpJets.At(i));
fSignalJets[fNumberSignalJets] = jet;
fNumberSignalJets++;
}
if (fNumberSignalJets > 0)
- fFirstLeadingJet = static_cast<AliEmcalJet*>(fJetArray->At(jetIDArray[0]));
+ fFirstLeadingJet = static_cast<AliEmcalJet*>(tmpJets.At(0));
if (fNumberSignalJets > 1)
- fSecondLeadingJet = static_cast<AliEmcalJet*>(fJetArray->At(jetIDArray[1]));
+ fSecondLeadingJet = static_cast<AliEmcalJet*>(tmpJets.At(1));
}
}
return jetCountAccepted;
}
-//________________________________________________________________________
-Double_t AliAnalysisTaskChargedJetsPA::GetJetBackgroundCorrFactor(Double_t eta, Double_t background)
-{
- Double_t tmpCorrFactor = 1.0;
- if(fJetBgrdCorrectionFactors)
- tmpCorrFactor = fJetBgrdCorrectionFactors->GetBinContent
- (
- fJetBgrdCorrectionFactors->GetXaxis()->FindBin(eta),
- fJetBgrdCorrectionFactors->GetYaxis()->FindBin(background)
- );
- return tmpCorrFactor;
-}
//________________________________________________________________________
-Double_t AliAnalysisTaskChargedJetsPA::GetCorrectedJetPt(AliEmcalJet* jet, Double_t background, Bool_t useEtaCorrection)
+Double_t AliAnalysisTaskChargedJetsPA::GetCorrectedJetPt(AliEmcalJet* jet, Double_t background)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting corrected jet spectra." << std::endl;
+ AliInfo("Getting corrected jet spectra.");
#endif
if(!jet)
{
- AliError("Jet pointer passed to GetCorrectedJet() not valid!");
+ AliError("Jet pointer passed to GetCorrectedJetPt() not valid!");
return -1.0;
}
Double_t correctedPt = -1.0;
- // Get correction factor from saved histo or similar in dependence of jet eta and background density
- Double_t corrfactor = 1.0;
- if(useEtaCorrection)
- {
- corrfactor = GetJetBackgroundCorrFactor(jet->Eta(), background);
- }
-
- // Get Eta corrected background
- Double_t tmpCorrectedBackground = background * corrfactor;
+ // if the passed background is not valid, do not subtract it
+ if(background < 0)
+ background = 0;
// Subtract background
- correctedPt = jet->Pt() - tmpCorrectedBackground * jet->Area();
+ correctedPt = jet->Pt() - background * jet->Area();
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got corrected jet spectra." << std::endl;
+ AliInfo("Got corrected jet spectra.");
#endif
return correctedPt;
}
+
//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetDeltaPt(Double_t& deltaPt, Double_t rho, Int_t numberExcludeLeadingJets, Int_t usedEtaBin, Bool_t useEtaCorrection)
+Double_t AliAnalysisTaskChargedJetsPA::GetDeltaPt(Double_t rho, Double_t leadingJetExclusionProbability)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting Delta Pt." << std::endl;
+ AliInfo("Getting Delta Pt.");
#endif
- // Define the tmp delta pt
- deltaPt = -10000.0;
+ // Define an invalid delta pt
+ Double_t deltaPt = -10000.0;
- // Exclude UP TO numberExcludeLeadingJets
- if (fNumberSignalJets < 2)
- numberExcludeLeadingJets = fNumberSignalJets;
-
+ // Define eta range
Double_t etaMin, etaMax;
- if (usedEtaBin==-1)
- {
- etaMin = -(fTrackEtaWindow-fRandConeRadius);
- etaMax = +(fTrackEtaWindow-fRandConeRadius);
- }
- else
- {
- etaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * usedEtaBin;
- etaMax = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (usedEtaBin+1);
- }
-
-
- Double_t tmpRandConeEta = 0.0;
- Double_t tmpRandConePhi = 0.0;
+ etaMin = -(fTrackEtaWindow-fRandConeRadius);
+ etaMax = +(fTrackEtaWindow-fRandConeRadius);
+ // Define random cone
Bool_t coneValid = kTRUE;
+ Double_t tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin);
+ Double_t tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi();
-
- tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin);
- tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi();
-
- // Apply eta correction on demand
- if(useEtaCorrection)
- rho = GetJetBackgroundCorrFactor(tmpRandConeEta, rho)*rho;
-
- // Go through all excluded leading jets and check if there's an overlap
- for(Int_t j=0;j<numberExcludeLeadingJets;j++)
+ // if there is a jet, check for overlap if demanded
+ if(leadingJetExclusionProbability)
{
- AliEmcalJet* tmpJet = NULL;
-
- if (j==0)
- tmpJet = fFirstLeadingJet;
- else if (j==1)
- tmpJet = fSecondLeadingJet;
- else
- AliFatal("Trying to exclude more than 2 jets for delta pt -- not implemented.");
+ AliEmcalJet* tmpLeading = dynamic_cast<AliEmcalJet*>(fJetArray->At(0));
+ // Get leading jet (regardless of pT)
+ for (Int_t i = 1; i<fJetArray->GetEntries(); i++)
+ {
+ AliEmcalJet* tmpJet = static_cast<AliEmcalJet*>(fJetArray->At(i));
+ // if jet is in acceptance and higher, take as new leading
+ if (tmpJet)
+ if ((TMath::Abs(tmpJet->Eta()) <= fSignalJetEtaWindow) && (tmpJet->Area() >= fMinJetArea))
+ if((!tmpLeading) || (tmpJet->Pt() > tmpLeading->Pt()))
+ tmpLeading = tmpJet;
+ }
+ if(tmpLeading)
+ {
+ Double_t excludedJetPhi = tmpLeading->Phi();
+ Double_t excludedJetEta = tmpLeading->Eta();
+ Double_t tmpDeltaPhi = GetDeltaPhi(tmpRandConePhi, excludedJetPhi);
- Double_t excludedJetPhi = tmpJet->Phi();
- Double_t excludedJetEta = tmpJet->Eta();
- Double_t tmpDeltaPhi = GetDeltaPhi(tmpRandConePhi, excludedJetPhi);
+ // Check, if cone has overlap with jet
+ if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(tmpRandConeEta-excludedJetEta)*TMath::Abs(tmpRandConeEta-excludedJetEta) <= fRandConeRadius*fRandConeRadius)
+ {
+ // Define probability to exclude the RC
+ Double_t probability = leadingJetExclusionProbability;
- // Check, if cone has overlap with jet
- if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(tmpRandConeEta-excludedJetEta)*TMath::Abs(tmpRandConeEta-excludedJetEta) <= fRandConeRadius*fRandConeRadius)
- {
- coneValid = kFALSE;
- break;
+ // Only exclude cone with a given probability
+ if (fRandom->Rndm()<=probability)
+ coneValid = kFALSE;
+ }
}
}
+
// Get the cones' pt and calculate delta pt
if (coneValid)
deltaPt = GetConePt(tmpRandConeEta,tmpRandConePhi,fRandConeRadius) - (rho*fRandConeRadius*fRandConeRadius*TMath::Pi());
+
+ return deltaPt;
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got Delta Pt." << std::endl;
+ AliInfo("Got Delta Pt.");
#endif
}
//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetKTBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMedian, Double_t& areaMean, Double_t etaMin, Double_t etaMax)
+void AliAnalysisTaskChargedJetsPA::GetKTBackgroundDensityAll(Int_t numberExcludeLeadingJets, Double_t& rhoPbPb, Double_t& rhoPbPbWithGhosts, Double_t& rhoCMS, Double_t& rhoImprovedCMS, Double_t& rhoMean, Double_t& rhoTrackLike)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting KT background density." << std::endl;
+ AliInfo("Getting ALL KT background density.");
#endif
- // static declaration. Advantage: more speed. Disadvantage: Problematic for events with more than 1024 jets :)
- static Double_t tmpRhos[1024];
- static Double_t tmpAreas[1024];
- Int_t maxJetIds[] = {-1, -1}; // Indices for excludes jets (up to two)
+ static Double_t tmpRhoPbPb[1024];
+ static Double_t tmpRhoPbPbWithGhosts[1024];
+ static Double_t tmpRhoMean[1024];
+ static Double_t tmpRhoCMS[1024];
+ static Double_t tmpRhoImprovedCMS[1024];
+ Double_t tmpCoveredArea = 0.0;
+ Double_t tmpSummedArea = 0.0;
+ Double_t tmpPtTrackLike = 0.0;
+ Double_t tmpAreaTrackLike = 0.0;
// Setting invalid values
- rhoMedian = -1.0;
- areaMean= -1.0;
+ rhoPbPb = 0.0;
+ rhoPbPbWithGhosts = 0.0;
+ rhoCMS = 0.0;
+ rhoImprovedCMS = 0.0;
+ rhoMean = 0.0;
+ rhoTrackLike = 0.0;
- // Exclude UP TO numberExcludeLeadingJets
- Int_t numberBgrdJets = GetLeadingJets(fBackgroundJetArray, &maxJetIds[0], kFALSE);
- if (numberBgrdJets < numberExcludeLeadingJets)
- numberExcludeLeadingJets = numberBgrdJets;
- if ((etaMin == 0) && (etaMax == 0))
- {
- etaMin = -fBackgroundJetEtaWindow;
- etaMax = +fBackgroundJetEtaWindow;
- }
+ Int_t rhoPbPbJetCount = 0;
+ Int_t rhoPbPbWithGhostsJetCount = 0;
+ Int_t rhoCMSJetCount = 0;
+ Int_t rhoImprovedCMSJetCount = 0;
+ Int_t rhoMeanJetCount = 0;
- Int_t jetCountAccepted = 0;
- Int_t jetCount = fBackgroundJetArray->GetEntries();
- for (Int_t i = 0; i < jetCount; i++)
+ // Find 2 leading KT jets for the original PbPb approach
+ Int_t leadingKTJets[] = {-1, -1};
+ GetLeadingJets(fBackgroundJetArray, &leadingKTJets[0], kFALSE);
+
+ // Exclude UP TO numberExcludeLeadingJets
+ if(numberExcludeLeadingJets==-1)
+ numberExcludeLeadingJets = fNumberSignalJets;
+ if (fNumberSignalJets < numberExcludeLeadingJets)
+ numberExcludeLeadingJets = fNumberSignalJets;
+
+ for (Int_t i = 0; i < fBackgroundJetArray->GetEntries(); i++)
{
- AliEmcalJet* jet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i));
- if (!jet)
+ AliEmcalJet* backgroundJet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i));
+
+ if (!backgroundJet)
{
AliError(Form("%s: Could not receive jet %d", GetName(), i));
continue;
}
- // exclude leading jets
- if (numberExcludeLeadingJets > 0)
- if (i == maxJetIds[0])
- continue;
- if (numberExcludeLeadingJets > 1)
- if (i == maxJetIds[1])
- continue;
-
-
-
- if (!IsBackgroundJetInAcceptance(jet))
- continue;
- if (!((jet->Eta() >= etaMin) && (jet->Eta() < etaMax)))
- continue;
-
-
- tmpRhos[jetCountAccepted] = jet->Pt() / jet->Area();
- tmpAreas[jetCountAccepted] = jet->Area();
- jetCountAccepted++;
- }
-
- if (jetCountAccepted > 0)
- {
- rhoMedian = TMath::Median(jetCountAccepted, tmpRhos);
- areaMean = TMath::Mean(jetCountAccepted, tmpAreas);
- }
- #ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got KT background density." << std::endl;
- #endif
-}
-
-//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetKTBackground2Density(Int_t numberExcludeLeadingJets, Double_t& rhoMedian, Double_t& areaMean, Double_t etaMin, Double_t etaMax)
-{
- #ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting KT background 2 density." << std::endl;
- #endif
-
- // static declaration. Advantage: more speed. Disadvantage: Problematic for events with more than 1024 jets :)
- static Double_t tmpRhos[1024];
- static Double_t tmpAreas[1024];
-
- // Setting invalid values
- rhoMedian = -1.0;
- areaMean= -1.0;
-
- if ((etaMin == 0) && (etaMax == 0))
- {
- etaMin = -fBackgroundJetEtaWindow;
- etaMax = +fBackgroundJetEtaWindow;
- }
+ // Search for overlap with signal jets
+ Bool_t isOverlapping = kFALSE;
+ for(Int_t j=0;j<numberExcludeLeadingJets;j++)
+ {
+ AliEmcalJet* signalJet = fSignalJets[j];
+
+ if(IsJetOverlapping(signalJet, backgroundJet))
+ {
+ isOverlapping = kTRUE;
+ break;
+ }
+ }
- Int_t jetCountAccepted = 0;
- Int_t jetCount = fBackgroundJetArray->GetEntries();
+ tmpSummedArea += backgroundJet->Area();
+ if(backgroundJet->Pt() > 0.150)
+ tmpCoveredArea += backgroundJet->Area();
- for (Int_t i = 0; i < jetCount; i++)
- {
- Bool_t jetValid = kTRUE;
- AliEmcalJet* jet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i));
- if (!jet)
- {
- AliError(Form("%s: Could not receive jet %d", GetName(), i));
+ if (!IsBackgroundJetInAcceptance(backgroundJet))
continue;
- }
- if (!((jet->Eta() >= etaMin) && (jet->Eta() < etaMax)))
- continue;
- if (!IsBackgroundJetInAcceptance(jet))
- continue;
+ Double_t tmpRho = 0.0;
+ if(backgroundJet->Area())
+ tmpRho = backgroundJet->Pt() / backgroundJet->Area();
- // Look, if theres an overlap of leading jets/ kT jet. If yes, exclude this jet
- for(Int_t j=0;j<numberExcludeLeadingJets;j++)
+ // PbPb approach (take ghosts into account)
+ if ((i != leadingKTJets[0]) && (i != leadingKTJets[1]))
{
- AliEmcalJet* tmpLeadingJet = NULL;
+ tmpRhoPbPbWithGhosts[rhoPbPbWithGhostsJetCount] = tmpRho;
+ rhoPbPbWithGhostsJetCount++;
+ }
- if (j==0)
- tmpLeadingJet = fFirstLeadingJet;
- else if (j==1)
- tmpLeadingJet = fSecondLeadingJet;
- else
- AliFatal("Trying to exclude more than 2 jets in KT background 2 -- not implemented.");
+ if(backgroundJet->Pt() > 0.150)
+ {
+ // CMS approach: don't take ghosts into acount
+ tmpRhoCMS[rhoCMSJetCount] = tmpRho;
+ rhoCMSJetCount++;
- if (tmpLeadingJet)
+ // Improved CMS approach: like CMS but excluding signal
+ if(!isOverlapping)
{
- Double_t tmpDeltaPhi = GetDeltaPhi(jet->Phi(), tmpLeadingJet->Phi());
- if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(jet->Eta()-tmpLeadingJet->Eta())*TMath::Abs(jet->Eta()-tmpLeadingJet->Eta()) <= fBackgroundJetRadius*fBackgroundJetRadius)
- {
- jetValid = kFALSE;
- break;
- }
+ tmpRhoImprovedCMS[rhoImprovedCMSJetCount] = tmpRho;
+ rhoImprovedCMSJetCount++;
+ }
+
+ // PbPb w/o ghosts approach (just neglect ghosts)
+ if ((i != leadingKTJets[0]) && (i != leadingKTJets[1]))
+ {
+ tmpRhoPbPb[rhoPbPbJetCount] = tmpRho;
+ rhoPbPbJetCount++;
}
}
- if(!jetValid)
- continue;
-
- tmpRhos[jetCountAccepted] = jet->Pt() / jet->Area();
- tmpAreas[jetCountAccepted] = jet->Area();
- jetCountAccepted++;
+ // (no overlap with signal jets)
+ if(!isOverlapping)
+ {
+ // Mean approach
+ tmpRhoMean[rhoMeanJetCount] = tmpRho;
+ rhoMeanJetCount++;
+
+ // Track like approach approach
+ tmpPtTrackLike += backgroundJet->Pt();
+ tmpAreaTrackLike += backgroundJet->Area();
+ }
+
}
- if (jetCountAccepted > 0)
+ if (tmpAreaTrackLike > 0)
+ rhoTrackLike = tmpPtTrackLike/tmpAreaTrackLike;
+ if (rhoPbPbJetCount > 0)
+ rhoPbPb = TMath::Median(rhoPbPbJetCount, tmpRhoPbPb);
+ if (rhoPbPbWithGhostsJetCount > 0)
+ rhoPbPbWithGhosts = TMath::Median(rhoPbPbWithGhostsJetCount, tmpRhoPbPbWithGhosts);
+ if (rhoCMSJetCount > 0)
+ rhoCMS = TMath::Median(rhoCMSJetCount, tmpRhoCMS) * tmpCoveredArea/tmpSummedArea;
+ if (rhoImprovedCMSJetCount > 0)
{
- rhoMedian = TMath::Median(jetCountAccepted, tmpRhos);
- areaMean = TMath::Mean(jetCountAccepted, tmpAreas);
+ rhoImprovedCMS = TMath::Median(rhoImprovedCMSJetCount, tmpRhoImprovedCMS) * tmpCoveredArea/tmpSummedArea;
}
+ if (rhoMeanJetCount > 0)
+ rhoMean = TMath::Mean(rhoMeanJetCount, tmpRhoMean);
+
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got KT background 2 density." << std::endl;
+ AliInfo("Got ALL KT background density.");
#endif
}
-
//________________________________________________________________________
-Int_t AliAnalysisTaskChargedJetsPA::GetRCBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& rhoMedian, Double_t etaMin, Double_t etaMax, Int_t numberRandCones)
+void AliAnalysisTaskChargedJetsPA::GetKTBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoImprovedCMS)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting RC background density." << std::endl;
+ AliInfo("Getting KT background density.");
#endif
- if(numberRandCones == 0)
- numberRandCones = fNumberRandCones;
-
- std::vector<AliEmcalJet> tmpCones(numberRandCones);
+ static Double_t tmpRhoImprovedCMS[1024];
+ Double_t tmpCoveredArea = 0.0;
+ Double_t tmpSummedArea = 0.0;
// Setting invalid values
- rhoMean = -1.0;
- rhoMedian = -1.0;
+ rhoImprovedCMS = 0.0;
+
+ Int_t rhoImprovedCMSJetCount = 0;
// Exclude UP TO numberExcludeLeadingJets
- if (fNumberSignalJets < 2)
+ if(numberExcludeLeadingJets==-1)
+ numberExcludeLeadingJets = fNumberSignalJets;
+ if (fNumberSignalJets < numberExcludeLeadingJets)
numberExcludeLeadingJets = fNumberSignalJets;
- // Search given amount of RCs
- Int_t numAcceptedRCs = 0;
- for(Int_t i=0;i<numberRandCones;i++)
+ for (Int_t i = 0; i < fBackgroundJetArray->GetEntries(); i++)
{
- Double_t tmpRandConeEta = 0.0;
- Double_t tmpRandConePhi = 0.0;
- Double_t excludedJetEta = 0.0;
- Double_t excludedJetPhi = 0.0;
-
- // Search random cone in acceptance with no overlap with already excluded jets (leading jets and random cones)
- Bool_t coneValid = kTRUE;
-
- // Set the random cone position
- if ((etaMin == 0) && (etaMax == 0))
- tmpRandConeEta = (fTrackEtaWindow-fRandConeRadius)*(2.0*fRandom->Rndm()-1.0); // full RC is in acceptance
- else
- tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin);
+ AliEmcalJet* backgroundJet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i));
- tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi();
+ if (!backgroundJet)
+ {
+ AliError(Form("%s: Could not receive jet %d", GetName(), i));
+ continue;
+ }
- // Go through all excluded leading jets and check if there's an overlap
-
+ // Search for overlap with signal jets
+ Bool_t isOverlapping = kFALSE;
for(Int_t j=0;j<numberExcludeLeadingJets;j++)
{
- AliEmcalJet* tmpJet = NULL;
-
- if (j==0)
- tmpJet = fFirstLeadingJet;
- else if (j==1)
- tmpJet = fSecondLeadingJet;
- else
- AliFatal("Trying to exclude more than 2 jets in RC background -- not implemented.");
-
- excludedJetPhi = tmpJet->Phi();
- excludedJetEta = tmpJet->Eta();
- Double_t tmpDeltaPhi = GetDeltaPhi(tmpRandConePhi, excludedJetPhi);
-
- if ( tmpDeltaPhi*tmpDeltaPhi + TMath::Abs(tmpRandConeEta-excludedJetEta)*TMath::Abs(tmpRandConeEta-excludedJetEta) <= fRandConeRadius*fRandConeRadius)
+ AliEmcalJet* signalJet = fSignalJets[j];
+
+ if(IsJetOverlapping(signalJet, backgroundJet))
{
- coneValid = kFALSE;
+ isOverlapping = kTRUE;
break;
}
}
- // RC is accepted, so save it
- if(coneValid)
- {
- AliEmcalJet tmpJet(GetConePt(tmpRandConeEta, tmpRandConePhi, fRandConeRadius), tmpRandConeEta, tmpRandConePhi, 0.0);
- tmpCones[numAcceptedRCs] = tmpJet;
- numAcceptedRCs++;
- }
+ tmpSummedArea += backgroundJet->Area();
+ if(backgroundJet->Pt() > 0.150)
+ tmpCoveredArea += backgroundJet->Area();
+
+ if (!IsBackgroundJetInAcceptance(backgroundJet))
+ continue;
+
+ Double_t tmpRho = backgroundJet->Pt() / backgroundJet->Area();
+
+ if(backgroundJet->Pt() > 0.150)
+ if(!isOverlapping)
+ {
+ tmpRhoImprovedCMS[rhoImprovedCMSJetCount] = tmpRho;
+ rhoImprovedCMSJetCount++;
+ }
}
- // Calculate Rho and the mean from the RCs (no excluded jets are considered!)
- if(numAcceptedRCs > 0)
+ if (rhoImprovedCMSJetCount > 0)
{
- std::vector<Double_t> tmpRho(numAcceptedRCs);
- for (Int_t i=0; i<numAcceptedRCs;i++)
- tmpRho[i] = tmpCones[i].Pt()/(fRandConeRadius*fRandConeRadius*TMath::Pi());
-
- rhoMean = TMath::Mean(tmpRho.begin(), tmpRho.end());
- rhoMedian = 0.0; // NOT IMPLEMENTED because TMath::Median is not working with iterators
+ rhoImprovedCMS = TMath::Median(rhoImprovedCMSJetCount, tmpRhoImprovedCMS) * tmpCoveredArea/tmpSummedArea;
}
-
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got RC background density." << std::endl;
+ AliInfo("Got KT background density.");
#endif
- return numAcceptedRCs;
}
+
//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetTrackBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& area, Double_t etaMin, Double_t etaMax)
+void AliAnalysisTaskChargedJetsPA::GetTRBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoNoExclusion, Double_t& rhoConeExclusion02, Double_t& rhoConeExclusion04, Double_t& rhoConeExclusion06, Double_t& rhoConeExclusion08, Double_t& rhoExactExclusion)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting track background density." << std::endl;
+ AliInfo("Getting TR background density.");
#endif
+ Double_t summedTracksPtCone04 = 0.0;
+ Double_t summedTracksPtCone02 = 0.0;
+ Double_t summedTracksPtCone06 = 0.0;
+ Double_t summedTracksPtCone08 = 0.0;
+ Double_t summedTracksPtWithinJets = 0.0;
Double_t summedTracksPt = 0.0;
-
- if ((etaMin == 0) && (etaMax == 0))
- {
- etaMin = -fTrackEtaWindow;
- etaMax = +fTrackEtaWindow;
- }
-
+
// Setting invalid values
- rhoMean = -1.0;
- area = -1.0;
+ rhoNoExclusion = 0.0;
+ rhoConeExclusion02 = 0.0;
+ rhoConeExclusion04 = 0.0;
+ rhoConeExclusion06 = 0.0;
+ rhoConeExclusion08 = 0.0;
+ rhoExactExclusion = 0.0;
+
// Exclude UP TO numberExcludeLeadingJets
- if (fNumberSignalJets < 2)
+ if(numberExcludeLeadingJets==-1)
+ numberExcludeLeadingJets = fNumberSignalJets;
+ if (fNumberSignalJets < numberExcludeLeadingJets)
numberExcludeLeadingJets = fNumberSignalJets;
-
- Int_t trackCount = fTrackArray->GetEntries();
- Int_t trackCountAccepted = 0;
- for (Int_t i = 0; i < trackCount; i++)
+ for (Int_t i = 0; i < fTrackArray->GetEntries(); i++)
{
- Bool_t trackValid = kTRUE;
AliVTrack* tmpTrack = static_cast<AliVTrack*>(fTrackArray->At(i));
+ Bool_t trackWithinJet = kFALSE; Bool_t trackWithin02Cone = kFALSE; Bool_t trackWithin04Cone = kFALSE; Bool_t trackWithin06Cone = kFALSE; Bool_t trackWithin08Cone = kFALSE;
+
if (IsTrackInAcceptance(tmpTrack))
- if ((tmpTrack->Eta() >= etaMin) && (tmpTrack->Eta() < etaMax))
+ {
+ // Check if tracks overlaps with jet
+ for(Int_t j=0;j<numberExcludeLeadingJets;j++)
{
- for (Int_t j = 0; j < numberExcludeLeadingJets; j++)
+ AliEmcalJet* signalJet = fSignalJets[j];
+
+ // Exact jet exclusion
+ if (IsTrackInJet(signalJet, i))
+ trackWithinJet = kTRUE;
+
+ // Cone exclusions
+ if (IsTrackInCone(tmpTrack, signalJet->Eta(), signalJet->Phi(), 0.2))
+ {
+ trackWithin02Cone = kTRUE;
+ trackWithin04Cone = kTRUE;
+ trackWithin06Cone = kTRUE;
+ trackWithin08Cone = kTRUE;
+ break;
+ }
+ else if (IsTrackInCone(tmpTrack, signalJet->Eta(), signalJet->Phi(), 0.4))
{
- AliEmcalJet* tmpJet = NULL;
- if (j==0)
- tmpJet = fFirstLeadingJet;
- else if (j==1)
- tmpJet = fSecondLeadingJet;
- else
- AliFatal("Trying to exclude more than 2 jets in track background -- not implemented.");
-
- if (IsTrackInCone(tmpTrack, tmpJet->Eta(), tmpJet->Phi(), fTrackBackgroundConeRadius))
- {
- trackValid = kFALSE;
- break;
- }
+ trackWithin04Cone = kTRUE;
+ trackWithin06Cone = kTRUE;
+ trackWithin08Cone = kTRUE;
}
- if (trackValid)
+ else if (IsTrackInCone(tmpTrack, signalJet->Eta(), signalJet->Phi(), 0.6))
{
- // Add track pt to array
- summedTracksPt = summedTracksPt + tmpTrack->Pt();
- trackCountAccepted++;
+ trackWithin06Cone = kTRUE;
+ trackWithin08Cone = kTRUE;
}
+ else if (IsTrackInCone(tmpTrack, signalJet->Eta(), signalJet->Phi(), 0.8))
+ {
+ trackWithin08Cone = kTRUE;
+ }
+ }
+
+ if(!trackWithin08Cone)
+ {
+ summedTracksPtCone08 += tmpTrack->Pt();
}
+ if(!trackWithin06Cone)
+ {
+ summedTracksPtCone06 += tmpTrack->Pt();
+ }
+ if(!trackWithin04Cone)
+ {
+ summedTracksPtCone04 += tmpTrack->Pt();
+ }
+ if(!trackWithin02Cone)
+ {
+ summedTracksPtCone02 += tmpTrack->Pt();
+ }
+ if(!trackWithinJet)
+ {
+ summedTracksPtWithinJets += tmpTrack->Pt();
+ }
+ summedTracksPt += tmpTrack->Pt();
+
+ }
}
- if (trackCountAccepted > 0)
- {
- Double_t tmpArea = 0.0;
+ // Calculate the correct area where the tracks were taking from
- tmpArea = (2.0*fTrackEtaWindow) * TMath::TwoPi() * (etaMax-etaMin)/(2.0*fTrackEtaWindow); // area of the used eta strip
-
- // Now: exclude the part of the leading jet that is in the strip
- if (numberExcludeLeadingJets == 2)
- tmpArea = tmpArea*(1.0-MCGetOverlapCircleRectancle(fFirstLeadingJet->Eta(), fFirstLeadingJet->Phi(), fTrackBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi()) -MCGetOverlapCircleRectancle(fSecondLeadingJet->Eta(), fSecondLeadingJet->Phi(), fTrackBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi()));
- else if (numberExcludeLeadingJets == 1)
- tmpArea = tmpArea*(1.0-MCGetOverlapCircleRectancle(fFirstLeadingJet->Eta(), fFirstLeadingJet->Phi(), fTrackBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi()));
-
- rhoMean = summedTracksPt/tmpArea;
- area = tmpArea;
+ Double_t tmpFullTPCArea = (2.0*fTrackEtaWindow) * TMath::TwoPi();
+ Double_t tmpAreaCone02 = tmpFullTPCArea;
+ Double_t tmpAreaCone04 = tmpFullTPCArea;
+ Double_t tmpAreaCone06 = tmpFullTPCArea;
+ Double_t tmpAreaCone08 = tmpFullTPCArea;
+ Double_t tmpAreaWithinJets = tmpFullTPCArea;
+ std::vector<Double_t> tmpEtas(numberExcludeLeadingJets);
+ std::vector<Double_t> tmpPhis(numberExcludeLeadingJets);
+
+ for(Int_t i=0;i<numberExcludeLeadingJets;i++)
+ {
+ AliEmcalJet* tmpJet = fSignalJets[i];
+ tmpEtas[i] = tmpJet->Eta();
+ tmpPhis[i] = tmpJet->Phi();
+ tmpAreaWithinJets -= tmpJet->Area();
}
+ tmpAreaCone02 -= tmpFullTPCArea * MCGetOverlapMultipleCirclesRectancle(numberExcludeLeadingJets, tmpEtas, tmpPhis, 0.2, -fTrackEtaWindow, +fTrackEtaWindow, 0., TMath::TwoPi());
+ tmpAreaCone04 -= tmpFullTPCArea * MCGetOverlapMultipleCirclesRectancle(numberExcludeLeadingJets, tmpEtas, tmpPhis, 0.4, -fTrackEtaWindow, +fTrackEtaWindow, 0., TMath::TwoPi());
+ tmpAreaCone06 -= tmpFullTPCArea * MCGetOverlapMultipleCirclesRectancle(numberExcludeLeadingJets, tmpEtas, tmpPhis, 0.6, -fTrackEtaWindow, +fTrackEtaWindow, 0., TMath::TwoPi());
+ tmpAreaCone08 -= tmpFullTPCArea * MCGetOverlapMultipleCirclesRectancle(numberExcludeLeadingJets, tmpEtas, tmpPhis, 0.8, -fTrackEtaWindow, +fTrackEtaWindow, 0., TMath::TwoPi());
+
+ rhoConeExclusion02 = summedTracksPtCone02/tmpAreaCone02;
+ rhoConeExclusion04 = summedTracksPtCone04/tmpAreaCone04;
+ rhoConeExclusion06 = summedTracksPtCone06/tmpAreaCone06;
+ rhoConeExclusion08 = summedTracksPtCone08/tmpAreaCone08;
+ rhoExactExclusion = summedTracksPtWithinJets/tmpAreaWithinJets;
+ rhoNoExclusion = summedTracksPt/tmpFullTPCArea;
+
+
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got track background density." << std::endl;
+ AliInfo("Got TR background density.");
#endif
}
//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetTrackBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& area, AliEmcalJet* excludeJet1, AliEmcalJet* excludeJet2, Bool_t doSearchPerpendicular)
+void AliAnalysisTaskChargedJetsPA::GetTRBackgroundDensity(Int_t numberExcludeLeadingJets, Double_t& rhoMean, Double_t& area, AliEmcalJet* excludeJet1, AliEmcalJet* excludeJet2, Bool_t doSearchPerpendicular)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Getting track background density." << std::endl;
+ AliInfo("Getting TR background density.");
#endif
// Setting invalid values
Double_t summedTracksPt = 0.0;
- rhoMean = -1.0;
+ rhoMean = 0.0;
area = -1.0;
Double_t tmpRadius = 0.0;
if (doSearchPerpendicular)
- tmpRadius = 0.5*TMath::Pi(); // exclude 90 degrees around jets
+ tmpRadius = 0.4*TMath::Pi(); // exclude 90 degrees around jets
else
- tmpRadius = fSignalJetRadius;
+ tmpRadius = 0.8;
numberExcludeLeadingJets = 2; // dijet is excluded here in any case
}
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Got track background density." << std::endl;
+ AliInfo("Got TR background density.");
#endif
}
void AliAnalysisTaskChargedJetsPA::Calculate(AliVEvent* event)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Starting Calculate." << std::endl;
+ AliInfo("Starting Calculate().");
#endif
////////////////////// NOTE: initialization & casting
- if (!event) {
- AliError("??? Event pointer == 0 ???");
- return;
- }
-
- if (!fInitialized)
- ExecOnce(); // Get tracks, jets, background from arrays if not already given + Init Histos
-
- // Additional cuts
- FillHistogram("hNumberEvents", 0.5); // number of events before manual cuts
-
- if ((event->GetPrimaryVertex()->GetNContributors() < fMinVertexContributors) || (TMath::Abs(event->GetPrimaryVertex()->GetZ()) > fVertexWindow))
+ fEventCounter++;
+
+ // Check, if analysis should be done in pt hard bins
+ if(fUsePtHardBin != -1)
+ if(GetPtHardBin() != fUsePtHardBin)
+ return;
+
+ // This is to take only every Nth event
+ if((fEventCounter+fPartialAnalysisIndex) % fPartialAnalysisNParts != 0)
return;
- if (TMath::Sqrt(event->GetPrimaryVertex()->GetX()*event->GetPrimaryVertex()->GetX() + event->GetPrimaryVertex()->GetY()*event->GetPrimaryVertex()->GetY()) > fVertexMaxR)
+ FillHistogram("hNumberEvents",0.5);
+
+ if(!IsEventInAcceptance(event))
return;
- FillHistogram("hNumberEvents", 1.5); // number of events after manual cuts
+ FillHistogram("hNumberEvents",1.5);
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calculate:Init done" << std::endl;
+ AliInfo("Calculate()::Init done.");
#endif
////////////////////// NOTE: Get Centrality, (Leading)Signal jets and Background
- // Get centrality (V0A)
+ // Get centrality
AliCentrality* tmpCentrality = NULL;
tmpCentrality = event->GetCentrality();
- Double_t centralityPercentile = 0.0;
+ Double_t centralityPercentile = -1.0;
+ Double_t centralityPercentileV0A = 0.0;
+ Double_t centralityPercentileV0C = 0.0;
+ Double_t centralityPercentileV0M = 0.0;
if (tmpCentrality != NULL)
- centralityPercentile = tmpCentrality->GetCentralityPercentile("V0A");
+ {
+ centralityPercentile = tmpCentrality->GetCentralityPercentile(fCentralityType.Data());
+ centralityPercentileV0A = tmpCentrality->GetCentralityPercentile("V0A");
+ centralityPercentileV0C = tmpCentrality->GetCentralityPercentile("V0C");
+ centralityPercentileV0M = tmpCentrality->GetCentralityPercentile("V0M");
+ }
+ if((centralityPercentile < 0.0) || (centralityPercentile > 100.0))
+ {
+ AliWarning(Form("Centrality value not valid (c=%E), setting to failsafe c=1.0.",centralityPercentile));
+ centralityPercentile = 1.0;
+ }
// Get jets
if (fAnalyzeBackground || fAnalyzeJets)
GetSignalJets();
- // Get background
-
- // Background with N excluded leading jets
- std::vector<Double_t> ktBackgroundRhoMedian(fBackgroundEtaBins+1);
- std::vector<Double_t> ktBackgroundAreaMean(fBackgroundEtaBins+1);
- std::vector<Double_t> ktBackground2RhoMedian(fBackgroundEtaBins+1);
- std::vector<Double_t> ktBackground2AreaMean(fBackgroundEtaBins+1);
- std::vector<Double_t> rcBackgroundRhoMean(fBackgroundEtaBins+1);
- std::vector<Double_t> rcBackgroundRhoMedian(fBackgroundEtaBins+1);
- std::vector<Double_t> trackBackgroundRhoMean(fBackgroundEtaBins+1);
- std::vector<Double_t> trackBackgroundArea(fBackgroundEtaBins+1);
- Double_t dijetBackground = -1.0; // calculation only done in events with dijets I!
- Double_t dijetBackgroundPerpendicular = -1.0; // calculation only done in events with dijets I!
+ // Get background estimates
+ Double_t backgroundKTImprovedCMS = -1.0;
+ Double_t backgroundKTImprovedCMSExternal = -1.0;
+ Double_t backgroundDijet = -1.0;
+ Double_t backgroundDijetPerpendicular = -1.0;
+
+ Double_t backgroundKTPbPb = -1.0;
+ Double_t backgroundKTPbPbWithGhosts = -1.0;
+ Double_t backgroundKTCMS = -1.0;
+ Double_t backgroundKTMean = -1.0;
+ Double_t backgroundKTTrackLike = -1.0;
+ Double_t backgroundTRNoExcl = -1.0;
+ Double_t backgroundTRCone02 = -1.0;
+ Double_t backgroundTRCone04 = -1.0;
+ Double_t backgroundTRCone06 = -1.0;
+ Double_t backgroundTRCone08 = -1.0;
+ Double_t backgroundTRExact = -1.0;
+
+ // Calculate background for different jet exclusions
+
if (fAnalyzeBackground)
{
- // Get backgrounds in bins of eta
- for(Int_t i = 0; i<fBackgroundEtaBins; i++)
- {
- // scheme: etaMin = RangeMin + l*binN; etaMax = RangeMin + l*(binN+1)
-
- Double_t etaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * i;
- Double_t etaMax = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (i+1);
- GetRCBackgroundDensity (fNumberExcludedJets, rcBackgroundRhoMean[i],rcBackgroundRhoMedian[i], etaMin, etaMax);
- GetTrackBackgroundDensity (fNumberExcludedJets, trackBackgroundRhoMean[i], trackBackgroundArea[i], etaMin, etaMax);
- GetKTBackgroundDensity (fNumberExcludedJets, ktBackgroundRhoMedian[i], ktBackgroundAreaMean[i], etaMin, etaMax);
- GetKTBackground2Density (fNumberExcludedJets, ktBackground2RhoMedian[i], ktBackground2AreaMean[i], etaMin, etaMax);
-
- }
- Int_t tmpNRCs = 0;
+ if(fAnalyzeDeprecatedBackgrounds)
+ GetKTBackgroundDensityAll (fNumberExcludedJets, backgroundKTPbPb, backgroundKTPbPbWithGhosts, backgroundKTCMS, backgroundKTImprovedCMS, backgroundKTMean, backgroundKTTrackLike);
+ else
+ GetKTBackgroundDensity (fNumberExcludedJets, backgroundKTImprovedCMS);
- // All eta in one bin
- tmpNRCs = GetRCBackgroundDensity (fNumberExcludedJets, rcBackgroundRhoMean[fBackgroundEtaBins], rcBackgroundRhoMedian[fBackgroundEtaBins]);
- FillHistogram("hAccConesInRCBackground", tmpNRCs);
- GetTrackBackgroundDensity (fNumberExcludedJets, trackBackgroundRhoMean[fBackgroundEtaBins], trackBackgroundArea[fBackgroundEtaBins]);
- GetKTBackgroundDensity (fNumberExcludedJets, ktBackgroundRhoMedian[fBackgroundEtaBins], ktBackgroundAreaMean[fBackgroundEtaBins]);
- GetKTBackground2Density (fNumberExcludedJets, ktBackground2RhoMedian[fBackgroundEtaBins], ktBackground2AreaMean[fBackgroundEtaBins]);
+ if(fAnalyzeDeprecatedBackgrounds)
+ GetTRBackgroundDensity (fNumberExcludedJets, backgroundTRNoExcl, backgroundTRCone02, backgroundTRCone04, backgroundTRCone06, backgroundTRCone08, backgroundTRExact);
+ backgroundKTImprovedCMSExternal = GetExternalRho();
}
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calculate:Centrality&SignalJets&Background-Calculation done" << std::endl;
+ AliInfo("Calculate()::Centrality&SignalJets&Background-Calculation done.");
#endif
- ////////////////////// NOTE: Pythia histograms
- if(fAnalyzePythia)
- {
- FillHistogram("hPythiaPtHard", GetPtHard());
- FillHistogram("hPythiaNTrials", GetPtHardBin()+0.1, fTrials);
- FillHistogram("hPythiaXSection", GetPtHardBin()+0.1, fCrossSection);
-
- #ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calculate:Pythia done" << std::endl;
- #endif
- }
-
- ////////////////////// NOTE: Track & QA histograms
if (fAnalyzeQA)
{
- FillHistogram("hVertexZ",event->GetPrimaryVertex()->GetZ());
+ FillHistogram("hVertexX",event->GetPrimaryVertex()->GetX());
+ FillHistogram("hVertexY",event->GetPrimaryVertex()->GetY());
+ FillHistogram("hVertexXY",event->GetPrimaryVertex()->GetX(), event->GetPrimaryVertex()->GetY());
FillHistogram("hVertexR",TMath::Sqrt(event->GetPrimaryVertex()->GetX()*event->GetPrimaryVertex()->GetX() + event->GetPrimaryVertex()->GetY()*event->GetPrimaryVertex()->GetY()));
- FillHistogram("hCentrality",centralityPercentile);
+ FillHistogram("hCentralityV0M",centralityPercentileV0M);
+ FillHistogram("hCentralityV0A",centralityPercentileV0A);
+ FillHistogram("hCentralityV0C",centralityPercentileV0C);
Int_t trackCountAcc = 0;
Int_t nTracks = fTrackArray->GetEntries();
for (Int_t i = 0; i < nTracks; i++)
{
AliVTrack* track = static_cast<AliVTrack*>(fTrackArray->At(i));
+
+ if (track != 0)
+ if (track->Pt() >= fMinTrackPt)
+ FillHistogram("hTrackPhiEta", track->Phi(),track->Eta(), 1);
+
if (IsTrackInAcceptance(track))
{
- FillHistogram("hTrackPhiEta", track->Phi(),track->Eta(), 1);
- FillHistogram("hTrackPt", track->Pt());
+ FillHistogram("hTrackPt", track->Pt(), centralityPercentile);
+ if(track->Eta() >= 0)
+ FillHistogram("hTrackPtPosEta", track->Pt(), centralityPercentile);
+ else
+ FillHistogram("hTrackPtNegEta", track->Pt(), centralityPercentile);
+
FillHistogram("hTrackEta", track->Eta());
+ FillHistogram("hTrackPhi", track->Phi());
+
+ if(static_cast<AliPicoTrack*>(track))
+ {
+ FillHistogram("hTrackPhiTrackType", track->Phi(), (static_cast<AliPicoTrack*>(track))->GetTrackType());
+ FillHistogram("hTrackPhiLabel", track->Phi(), (static_cast<AliPicoTrack*>(track))->GetLabel());
+ }
+ for(Int_t j=0;j<20;j++)
+ if(track->Pt() > j)
+ FillHistogram("hTrackPhiPtCut", track->Phi(), track->Pt());
+
FillHistogram("hTrackCharge", track->Charge());
trackCountAcc++;
}
}
FillHistogram("hTrackCountAcc", trackCountAcc, centralityPercentile);
- if (fHasClusters)
- {
- Int_t clusterCountAcc = 0;
- Int_t nClusters = fClusterArray->GetEntries();
- for (Int_t i = 0; i < nClusters; i++)
- {
- AliVCluster* cluster = static_cast<AliVCluster*>(fClusterArray->At(i));
- if (IsClusterInAcceptance(cluster))
- {
- FillHistogram("hClusterE", cluster->E());
- clusterCountAcc++;
- }
- }
- FillHistogram("hClusterCountAcc", clusterCountAcc, centralityPercentile);
- }
}
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calculate:QA done" << std::endl;
+ AliInfo("Calculate()::QA done.");
#endif
////////////////////// NOTE: Jet analysis and calculations
if (fAnalyzeJets)
{
- FillHistogram("hJetCountAll", fJetArray->GetEntries());
- FillHistogram("hJetCountAccepted", fNumberSignalJets);
- if (fFirstLeadingJet)
- FillHistogram("hLeadingJetPt", fFirstLeadingJet->Pt());
- if (fSecondLeadingJet)
- FillHistogram("hSecondLeadingJetPt", fSecondLeadingJet->Pt());
+ for (Int_t i = 0; i<fJetArray->GetEntries(); i++)
+ {
+ AliEmcalJet* tmpJet = static_cast<AliEmcalJet*>(fJetArray->At(i));
+ if (!tmpJet)
+ continue;
- // ### Dijets I ###
+ FillHistogram("hRawJetPt", tmpJet->Pt());
+ if (tmpJet->Pt() >= fMinJetPt)
+ {
+ // ### RAW JET ANALYSIS
+ if (tmpJet->Area() >= fMinJetArea)
+ FillHistogram("hRawJetPhiEta", tmpJet->Phi(), tmpJet->Eta());
+ if (TMath::Abs(tmpJet->Eta()) <= fSignalJetEtaWindow)
+ FillHistogram("hRawJetArea", tmpJet->Area());
+ }
+
+ if(IsSignalJetInAcceptance(tmpJet))
+ {
+ // ### SIGNAL JET ANALYSIS
+ // Jet spectra
+ FillHistogram("hJetPt", tmpJet->Pt(), centralityPercentile);
+ FillHistogram("hJetPtBgrdSubtractedKTImprovedCMS", GetCorrectedJetPt(tmpJet, backgroundKTImprovedCMS), centralityPercentile);
+ FillHistogram("hJetPtSubtractedRhoKTImprovedCMS", tmpJet->Pt(), centralityPercentile, backgroundKTImprovedCMS);
+ if(centralityPercentile<=20.0)
+ FillHistogram("hJetPtSubtractedRhoKTImprovedCMS020", tmpJet->Pt(), backgroundKTImprovedCMS);
+
+ if(fAnalyzeDeprecatedBackgrounds)
+ {
+ FillHistogram("hJetPtBgrdSubtractedTR", GetCorrectedJetPt(tmpJet, backgroundTRCone06), centralityPercentile);
+ FillHistogram("hJetPtBgrdSubtractedKTPbPb", GetCorrectedJetPt(tmpJet, backgroundKTPbPb), centralityPercentile);
+ FillHistogram("hJetPtBgrdSubtractedKTPbPbWithGhosts", GetCorrectedJetPt(tmpJet, backgroundKTPbPbWithGhosts), centralityPercentile);
+ FillHistogram("hJetPtBgrdSubtractedKTCMS", GetCorrectedJetPt(tmpJet, backgroundKTCMS), centralityPercentile);
+ FillHistogram("hJetPtBgrdSubtractedKTMean", GetCorrectedJetPt(tmpJet, backgroundKTMean), centralityPercentile);
+ FillHistogram("hJetPtBgrdSubtractedKTTrackLike", GetCorrectedJetPt(tmpJet, backgroundKTTrackLike), centralityPercentile);
+ }
+
+ for(Int_t j=0; j<tmpJet->GetNumberOfTracks(); j++)
+ FillHistogram("hJetConstituentPt", tmpJet->TrackAt(j, fTrackArray)->Pt(), centralityPercentile);
+
+ if(fAnalyzeQA)
+ {
+ FillHistogram("hJetArea", tmpJet->Area());
+ FillHistogram("hJetPtVsConstituentCount", tmpJet->Pt(),tmpJet->GetNumberOfTracks());
+ FillHistogram("hJetPhiEta", tmpJet->Phi(),tmpJet->Eta());
+ }
+ // Signal jet vs. signal jet - "Combinatorial"
+ for (Int_t j = i+1; j<fNumberSignalJets; j++)
+ FillHistogram("hJetDeltaPhi", GetDeltaPhi(tmpJet->Phi(), fSignalJets[j]->Phi()));
+ }
+ }
+
+ // ### DIJETS
if(fNumberSignalJets >= 2)
{
FillHistogram("hLeadingJetDeltaPhi", GetDeltaPhi(fFirstLeadingJet->Phi(), fSecondLeadingJet->Phi()));
- FillHistogram("hLeadingJetDeltaPhiPt", GetDeltaPhi(fFirstLeadingJet->Phi(), fSecondLeadingJet->Phi()), fFirstLeadingJet->Pt());
- if (IsDijet(fFirstLeadingJet, fSecondLeadingJet)) // Gettin' the money
+ if (IsDijet(fFirstLeadingJet, fSecondLeadingJet))
{
- FillHistogram("hDijetConstituentsPt", fFirstLeadingJet->Pt()); FillHistogram("hDijetConstituentsPt", fSecondLeadingJet->Pt());
+ FillHistogram("hDijetConstituentsPt", fFirstLeadingJet->Pt());
+ FillHistogram("hDijetConstituentsPt", fSecondLeadingJet->Pt());
+
FillHistogram("hDijetLeadingJetPt", fFirstLeadingJet->Pt());
FillHistogram("hDijetPtCorrelation", fFirstLeadingJet->Pt(), fSecondLeadingJet->Pt());
Double_t dummyArea = 0;
- GetTrackBackgroundDensity (2, dijetBackground, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kFALSE);
- GetTrackBackgroundDensity (2, dijetBackgroundPerpendicular, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kTRUE);
+ GetTRBackgroundDensity (2, backgroundDijet, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kFALSE);
+ GetTRBackgroundDensity (2, backgroundDijetPerpendicular, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kTRUE);
}
}
- // SIGNAL JET ANALYSIS
- for (Int_t i = 0; i<fNumberSignalJets; i++)
+ // ### SOME JET PLOTS
+ FillHistogram("hJetCountAll", fJetArray->GetEntries());
+ FillHistogram("hJetCountAccepted", fNumberSignalJets);
+ FillHistogram("hJetCount", fJetArray->GetEntries(), fNumberSignalJets);
+ if (fFirstLeadingJet)
{
- AliEmcalJet* tmpJet = fSignalJets[i];
-
- FillHistogram("hJetPtArea", tmpJet->Pt(), tmpJet->Area());
- FillHistogram("hJetPtEta", tmpJet->Pt(), tmpJet->Eta());
- FillHistogram("hJetPtPhi", tmpJet->Pt(), tmpJet->Phi());
- FillHistogram("hJetPtCentrality", tmpJet->Pt(), centralityPercentile);
- FillHistogram("hJetArea", tmpJet->Area());
- FillHistogram("hJetPt", tmpJet->Pt());
- FillHistogram("hJetPhiEta", tmpJet->Phi(),tmpJet->Eta());
-
- // Background subtracted spectra
-
- FillHistogram("hJetPtBgrdSubtractedRC", GetCorrectedJetPt(tmpJet, rcBackgroundRhoMean[fBackgroundEtaBins]));
- FillHistogram("hJetPtBgrdSubtractedKT", GetCorrectedJetPt(tmpJet, ktBackgroundRhoMedian[fBackgroundEtaBins], kTRUE));
- FillHistogram("hJetPtBgrdSubtractedKT2", GetCorrectedJetPt(tmpJet, ktBackground2RhoMedian[fBackgroundEtaBins], kTRUE));
- FillHistogram("hJetPtBgrdSubtractedKTNoEtaCorr", GetCorrectedJetPt(tmpJet, ktBackgroundRhoMedian[fBackgroundEtaBins]));
- FillHistogram("hJetPtBgrdSubtractedKT2NoEtaCorr", GetCorrectedJetPt(tmpJet, ktBackground2RhoMedian[fBackgroundEtaBins]));
- FillHistogram("hJetPtBgrdSubtractedTR", GetCorrectedJetPt(tmpJet, trackBackgroundRhoMean[fBackgroundEtaBins]));
-
-
- Double_t tmpCorrFactor = GetJetBackgroundCorrFactor(tmpJet->Eta(), ktBackgroundRhoMedian[fBackgroundEtaBins]);
- FillHistogram("hAppliedEtaCorrectionFactor", tmpCorrFactor);
- tmpCorrFactor = GetJetBackgroundCorrFactor(tmpJet->Eta(), ktBackground2RhoMedian[fBackgroundEtaBins]);
- FillHistogram("hAppliedEtaCorrectionFactor2", tmpCorrFactor);
-
- // Signal jet vs. signal jet
- for (Int_t j = i+1; j<fNumberSignalJets; j++)
- {
- AliEmcalJet* tmpJet2 = fSignalJets[j];
- FillHistogram("hJetDeltaPhi", GetDeltaPhi(tmpJet->Phi(), tmpJet2->Phi()));
- FillHistogram("hJetDeltaPhiPt", GetDeltaPhi(tmpJet->Phi(), tmpJet2->Phi()), max(tmpJet->Pt(), tmpJet2->Pt()));
-
- // ### Dijets II ###
- if (IsDijet(tmpJet, tmpJet2)) // Gettin' the money
- {
- FillHistogram("hDijet2ConstituentsPt", tmpJet->Pt()); FillHistogram("hDijet2ConstituentsPt", tmpJet2->Pt());
- FillHistogram("hDijet2LeadingJetPt", fFirstLeadingJet->Pt());
- FillHistogram("hDijet2PtCorrelation", tmpJet->Pt(), tmpJet2->Pt());
- }
- }
+ FillHistogram("hLeadingJetPt", fFirstLeadingJet->Pt());
+ FillHistogram("hCorrectedLeadingJetPt", GetCorrectedJetPt(fFirstLeadingJet,backgroundKTImprovedCMS));
}
+ if (fSecondLeadingJet)
+ {
+ FillHistogram("hSecondLeadingJetPt", fSecondLeadingJet->Pt());
+ FillHistogram("hCorrectedSecondLeadingJetPt", GetCorrectedJetPt(fSecondLeadingJet,backgroundKTImprovedCMS));
+ }
+
} //endif AnalyzeJets
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calculate:Jets done" << std::endl;
+ AliInfo("Calculate()::Jets done.");
#endif
////////////////////// NOTE: Background analysis
if (fAnalyzeBackground)
{
+ // Calculate background in centrality classes
+ FillHistogram("hKTBackgroundImprovedCMS", backgroundKTImprovedCMS, centralityPercentile);
- Int_t leadingJetIds[] = {-1, -1};
- GetLeadingJets(fBackgroundJetArray, &leadingJetIds[0], kFALSE);
+ FillHistogram("hKTBackgroundImprovedCMSExternal", backgroundKTImprovedCMSExternal, centralityPercentile);
- for (Int_t i = 0; i < fBackgroundJetArray->GetEntries(); i++)
- {
- AliEmcalJet* jet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i));
- if (!jet)
- {
- AliError(Form("%s: Could not receive kt jet %d", GetName(), i));
- continue;
- }
- if (!IsBackgroundJetInAcceptance(jet))
- continue;
- if (!((jet->Eta() >= -fBackgroundJetEtaWindow) && (jet->Eta() < fBackgroundJetEtaWindow)))
- continue;
-
- FillHistogram("hKTJetPhiEta", jet->Phi(),jet->Eta());
- if(i==leadingJetIds[0])
- FillHistogram("hKTLeadingJetPhiEta", jet->Phi(),jet->Eta());
-
- }
+ FillHistogram("hKTMeanBackgroundImprovedCMS", centralityPercentile, backgroundKTImprovedCMS);
- // ############# RC, Track, and KT background calculations
- Double_t etaMin = 0;
- for (Int_t i=0;i<fBackgroundEtaBins;i++)
+ // In case of dijets -> look at the background
+ if (backgroundDijet >= 0)
+ FillHistogram("hDijetBackground", backgroundDijet, centralityPercentile);
+ if (backgroundDijetPerpendicular >= 0)
+ FillHistogram("hDijetBackgroundPerpendicular", backgroundDijetPerpendicular, centralityPercentile);
+
+ if(fAnalyzeDeprecatedBackgrounds)
{
- etaMin = -(fTrackEtaWindow-fRandConeRadius) + 2*(fTrackEtaWindow-fRandConeRadius)/fBackgroundEtaBins * (i+0.5);
- FillHistogram("hRCBackground", etaMin, rcBackgroundRhoMean[i]);
- FillHistogram("hTrackBackground", etaMin, trackBackgroundRhoMean[i]);
- FillHistogram("hKTBackground", etaMin, ktBackgroundRhoMedian[i]);
- FillHistogram("hKTBackground2", etaMin, ktBackground2RhoMedian[i]);
- if(centralityPercentile <= 20.)
- {
- FillHistogram("hRCBackgroundMostCentral", etaMin, rcBackgroundRhoMean[i]);
- FillHistogram("hTrackBackgroundMostCentral", etaMin, trackBackgroundRhoMean[i]);
- FillHistogram("hKTBackgroundMostCentral", etaMin, ktBackgroundRhoMedian[i]);
- FillHistogram("hKTBackground2MostCentral", etaMin, ktBackground2RhoMedian[i]);
- }
- else if(centralityPercentile >= 80.)
- {
- FillHistogram("hRCBackgroundMostPeripheral", etaMin, rcBackgroundRhoMean[i]);
- FillHistogram("hTrackBackgroundMostPeripheral", etaMin, trackBackgroundRhoMean[i]);
- FillHistogram("hKTBackgroundMostPeripheral", etaMin, ktBackgroundRhoMedian[i]);
- FillHistogram("hKTBackground2MostPeripheral", etaMin, ktBackground2RhoMedian[i]);
- }
+ FillHistogram("hKTBackgroundPbPb", backgroundKTPbPb, centralityPercentile);
+ FillHistogram("hKTBackgroundPbPbWithGhosts", backgroundKTPbPbWithGhosts, centralityPercentile);
+ FillHistogram("hKTBackgroundCMS", backgroundKTCMS, centralityPercentile);
+ FillHistogram("hKTBackgroundMean", backgroundKTMean, centralityPercentile);
+ FillHistogram("hKTBackgroundTrackLike", backgroundKTTrackLike, centralityPercentile);
+
+ FillHistogram("hTRBackgroundNoExcl", backgroundTRNoExcl, centralityPercentile);
+ FillHistogram("hTRBackgroundCone02", backgroundTRCone02, centralityPercentile);
+ FillHistogram("hTRBackgroundCone04", backgroundTRCone04, centralityPercentile);
+ FillHistogram("hTRBackgroundCone06", backgroundTRCone06, centralityPercentile);
+ FillHistogram("hTRBackgroundCone08", backgroundTRCone08, centralityPercentile);
+ FillHistogram("hTRBackgroundExact", backgroundTRExact, centralityPercentile);
+
+ // Calculate background profiles in terms of centrality
+ FillHistogram("hKTMeanBackgroundPbPb", centralityPercentile, backgroundKTPbPb);
+ FillHistogram("hKTMeanBackgroundPbPbWithGhosts", centralityPercentile, backgroundKTPbPbWithGhosts);
+ FillHistogram("hKTMeanBackgroundCMS", centralityPercentile, backgroundKTCMS);
+ FillHistogram("hKTMeanBackgroundMean", centralityPercentile, backgroundKTMean);
+ FillHistogram("hKTMeanBackgroundTPC", centralityPercentile, backgroundKTTrackLike);
+ FillHistogram("hTRMeanBackground", centralityPercentile, backgroundTRCone06);
}
- FillHistogram("hRCBackgroundVsCentrality", rcBackgroundRhoMean[fBackgroundEtaBins], centralityPercentile);
- FillHistogram("hTrackBackgroundVsCentrality", trackBackgroundRhoMean[fBackgroundEtaBins], centralityPercentile);
- FillHistogram("hKTBackgroundVsCentrality", ktBackgroundRhoMedian[fBackgroundEtaBins], centralityPercentile);
- FillHistogram("hKTBackground2VsCentrality", ktBackground2RhoMedian[fBackgroundEtaBins], centralityPercentile);
- if (dijetBackground >= 0)
- {
- // Background in Dijet events
- FillHistogram("hDijetBackground", dijetBackground);
- if(centralityPercentile <= 20.)
- FillHistogram("hDijetBackgroundMostCentral", dijetBackground);
- FillHistogram("hDijetBackgroundVsCentrality", dijetBackground, centralityPercentile);
- }
- if (dijetBackgroundPerpendicular >= 0)
+ // Calculate the delta pt
+ Double_t tmpDeltaPtNoBackground = GetDeltaPt(0.0);
+ Double_t tmpDeltaPtKTImprovedCMS = GetDeltaPt(backgroundKTImprovedCMS);
+
+ Double_t tmpDeltaPtKTImprovedCMSPartialExclusion = 0.0;
+ if(fNcoll)
+ tmpDeltaPtKTImprovedCMSPartialExclusion = GetDeltaPt(backgroundKTImprovedCMS, 1.0/fNcoll);
+ else
+ tmpDeltaPtKTImprovedCMSPartialExclusion = GetDeltaPt(backgroundKTImprovedCMS, 1.0);
+
+ Double_t tmpDeltaPtKTImprovedCMSPartialExclusion_Signal = 0.0;
+ if(fNumberSignalJets)
+ tmpDeltaPtKTImprovedCMSPartialExclusion_Signal = GetDeltaPt(backgroundKTImprovedCMS, 1.0/fNumberSignalJets);
+ else
+ tmpDeltaPtKTImprovedCMSPartialExclusion_Signal = GetDeltaPt(backgroundKTImprovedCMS, 1.0);
+
+ Double_t tmpDeltaPtKTImprovedCMSFullExclusion = GetDeltaPt(backgroundKTImprovedCMS, 1.0);
+
+ Double_t tmpDeltaPtKTPbPb = 0;
+ Double_t tmpDeltaPtKTPbPbWithGhosts = 0;
+ Double_t tmpDeltaPtKTCMS = 0;
+ Double_t tmpDeltaPtKTMean = 0;
+ Double_t tmpDeltaPtKTTrackLike = 0;
+ Double_t tmpDeltaPtTR = 0;
+
+ if(fAnalyzeDeprecatedBackgrounds)
{
- // Background in Dijet events
- FillHistogram("hDijetBackgroundPerpendicular", dijetBackgroundPerpendicular);
- if(centralityPercentile <= 20.)
- FillHistogram("hDijetBackgroundPerpendicularMostCentral", dijetBackgroundPerpendicular);
- FillHistogram("hDijetBackgroundPerpendicularVsCentrality", dijetBackgroundPerpendicular, centralityPercentile);
+ tmpDeltaPtKTPbPb = GetDeltaPt(backgroundKTPbPb);
+ tmpDeltaPtKTPbPbWithGhosts = GetDeltaPt(backgroundKTPbPbWithGhosts);
+ tmpDeltaPtKTCMS = GetDeltaPt(backgroundKTCMS);
+ tmpDeltaPtKTMean = GetDeltaPt(backgroundKTMean);
+ tmpDeltaPtKTTrackLike = GetDeltaPt(backgroundKTTrackLike);
+ tmpDeltaPtTR = GetDeltaPt(backgroundTRCone06);
}
- // ########## Delta pT calculations (most central, kt is eta corrected)
- if (centralityPercentile <= 20.)
+ // If valid, fill the delta pt histograms
+
+ if(tmpDeltaPtKTImprovedCMS > -10000.0)
+ FillHistogram("hDeltaPtKTImprovedCMS", tmpDeltaPtKTImprovedCMS, centralityPercentile);
+ if(tmpDeltaPtKTImprovedCMSPartialExclusion > -10000.0)
+ FillHistogram("hDeltaPtKTImprovedCMSPartialExclusion", tmpDeltaPtKTImprovedCMSPartialExclusion, centralityPercentile);
+ if(tmpDeltaPtKTImprovedCMSPartialExclusion_Signal > -10000.0)
+ FillHistogram("hDeltaPtKTImprovedCMSPartialExclusion_Signal", tmpDeltaPtKTImprovedCMSPartialExclusion_Signal, centralityPercentile);
+ if(tmpDeltaPtKTImprovedCMSFullExclusion > -10000.0)
+ FillHistogram("hDeltaPtKTImprovedCMSFullExclusion", tmpDeltaPtKTImprovedCMSFullExclusion, centralityPercentile);
+
+ if(tmpDeltaPtNoBackground > 0.000001)
+ FillHistogram("hDeltaPtNoBackgroundNoEmptyCones", tmpDeltaPtNoBackground, centralityPercentile);
+ else if(tmpDeltaPtNoBackground > -10000.0)
+ FillHistogram("hDeltaPtNoBackground", tmpDeltaPtNoBackground, centralityPercentile);
+
+
+ if(fAnalyzeDeprecatedBackgrounds)
{
- Double_t tmpDeltaPtKT, tmpDeltaPtKT2Excl, tmpDeltaPtKT1Excl;
- Double_t tmpDeltaPtKTEta, tmpDeltaPtKTEta2Excl, tmpDeltaPtKTEta1Excl, tmpDeltaPtKT2Eta2Excl;
- Double_t tmpDeltaPtRC, tmpDeltaPtRC2Excl, tmpDeltaPtRC1Excl;
- Double_t tmpDeltaPtTR, tmpDeltaPtTR2Excl, tmpDeltaPtTR1Excl;
-
- GetDeltaPt(tmpDeltaPtKT, ktBackgroundRhoMedian[fBackgroundEtaBins], 0, -1, kTRUE);
- GetDeltaPt(tmpDeltaPtKTEta, ktBackgroundRhoMedian[fKTDeltaPtEtaBin], 0, fKTDeltaPtEtaBin);
- GetDeltaPt(tmpDeltaPtRC, rcBackgroundRhoMean[fBackgroundEtaBins], 0);
- GetDeltaPt(tmpDeltaPtTR, trackBackgroundRhoMean[fBackgroundEtaBins], 0);
-
- GetDeltaPt(tmpDeltaPtKT1Excl, ktBackgroundRhoMedian[fBackgroundEtaBins], 1, -1, kTRUE);
- GetDeltaPt(tmpDeltaPtKTEta1Excl, ktBackgroundRhoMedian[fKTDeltaPtEtaBin], 1, fKTDeltaPtEtaBin);
- GetDeltaPt(tmpDeltaPtRC1Excl, rcBackgroundRhoMean[fBackgroundEtaBins], 1);
- GetDeltaPt(tmpDeltaPtTR1Excl, trackBackgroundRhoMean[fBackgroundEtaBins], 1);
-
- GetDeltaPt(tmpDeltaPtKT2Excl, ktBackgroundRhoMedian[fBackgroundEtaBins], 2, -1, kTRUE);
- GetDeltaPt(tmpDeltaPtKTEta2Excl, ktBackgroundRhoMedian[fKTDeltaPtEtaBin], 2, fKTDeltaPtEtaBin);
- GetDeltaPt(tmpDeltaPtRC2Excl, rcBackgroundRhoMean[fBackgroundEtaBins], 2);
- GetDeltaPt(tmpDeltaPtTR2Excl, trackBackgroundRhoMean[fBackgroundEtaBins], 2);
-
- GetDeltaPt(tmpDeltaPtKT2Eta2Excl, ktBackground2RhoMedian[fKTDeltaPtEtaBin], 2, fKTDeltaPtEtaBin);
-
- // kT Background
- if(tmpDeltaPtKT > -10000.0)
- FillHistogram("hDeltaPtKT", tmpDeltaPtKT);
- if(tmpDeltaPtKT1Excl > -10000.0)
- FillHistogram("hDeltaPtKT1Excl", tmpDeltaPtKT1Excl);
- if(tmpDeltaPtKT2Excl > -10000.0)
- FillHistogram("hDeltaPtKT2Excl", tmpDeltaPtKT2Excl);
-
- if(tmpDeltaPtKT > -10000.0)
- FillHistogram("hDeltaPtKTEta", tmpDeltaPtKTEta);
- if(tmpDeltaPtKTEta1Excl > -10000.0)
- FillHistogram("hDeltaPtKTEta1Excl", tmpDeltaPtKTEta1Excl);
- if(tmpDeltaPtKTEta2Excl > -10000.0)
- FillHistogram("hDeltaPtKTEta2Excl", tmpDeltaPtKTEta2Excl);
- if(tmpDeltaPtKT2Eta2Excl > -10000.0)
- FillHistogram("hDeltaPtKT2Eta2Excl", tmpDeltaPtKT2Eta2Excl);
-
- // RC Background
- if(tmpDeltaPtRC > -10000.0)
- FillHistogram("hDeltaPtRC", tmpDeltaPtRC);
- if(tmpDeltaPtRC1Excl > -10000.0)
- FillHistogram("hDeltaPtRC1Excl", tmpDeltaPtRC1Excl);
- if(tmpDeltaPtRC2Excl > -10000.0)
- FillHistogram("hDeltaPtRC2Excl", tmpDeltaPtRC2Excl);
- // TR Background
+ if(tmpDeltaPtKTPbPb > -10000.0)
+ FillHistogram("hDeltaPtKTPbPb", tmpDeltaPtKTPbPb, centralityPercentile);
+ if(tmpDeltaPtKTPbPbWithGhosts > -10000.0)
+ FillHistogram("hDeltaPtKTPbPbWithGhosts", tmpDeltaPtKTPbPbWithGhosts, centralityPercentile);
+ if(tmpDeltaPtKTCMS > -10000.0)
+ FillHistogram("hDeltaPtKTCMS", tmpDeltaPtKTCMS, centralityPercentile);
+ if(tmpDeltaPtKTMean > -10000.0)
+ FillHistogram("hDeltaPtKTMean", tmpDeltaPtKTMean, centralityPercentile);
+ if(tmpDeltaPtKTTrackLike > -10000.0)
+ FillHistogram("hDeltaPtKTTrackLike", tmpDeltaPtKTTrackLike, centralityPercentile);
+
if(tmpDeltaPtTR > -10000.0)
- FillHistogram("hDeltaPtTR", tmpDeltaPtTR);
- if(tmpDeltaPtTR1Excl > -10000.0)
- FillHistogram("hDeltaPtTR1Excl", tmpDeltaPtTR1Excl);
- if(tmpDeltaPtTR2Excl > -10000.0)
- FillHistogram("hDeltaPtTR2Excl", tmpDeltaPtTR2Excl);
+ FillHistogram("hDeltaPtTR", tmpDeltaPtTR, centralityPercentile);
}
}
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Calculate:Bckgrd done" << std::endl;
+ AliInfo("Calculate()::Background done.");
+ #endif
+
+ ////////////////////// NOTE: Pythia histograms
+ if(fAnalyzePythia)
+ {
+ FillHistogram("hPythiaPtHard", GetPtHard());
+ FillHistogram("hPythiaNTrials", GetPtHardBin()+0.1, GetPythiaTrials());
+ FillHistogram("hPythiaXSection", GetPtHardBin()+0.1, fCrossSection);
+
+ #ifdef DEBUGMODE
+ AliInfo("Calculate()::Pythia done.");
+ #endif
+ }
+ #ifdef DEBUGMODE
+ AliInfo("Calculate() done.");
#endif
-}
+}
//________________________________________________________________________
-Bool_t AliAnalysisTaskChargedJetsPA::Notify()
+Bool_t AliAnalysisTaskChargedJetsPA::UserNotify()
{
// Implemented Notify() to read the cross sections
// and number of trials from pyxsec.root
//
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Notify started." << std::endl;
+ AliInfo("UserNotify started.");
#endif
if(fAnalyzePythia)
// not an archive take the basename....
file.ReplaceAll(gSystem->BaseName(file.Data()),"");
}
- #ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Notify::Filename=" << file.Data() << std::endl;
- #endif
-
TFile *fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec.root")); // problem that we cannot really test the existance of a file in a archive so we have to lvie with open error message from root
if(!fxsec){
fCrossSection = xsection;
fxsec->Close();
}
- #ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": Notify::fCrossSection=" << fCrossSection << std::endl;
- std::cout << "Task " << GetName() << ": Notify::fTrials=" << fTrials << std::endl;
- std::cout << "Task " << GetName() << ": Notify ended." << std::endl;
- #endif
}
+ #ifdef DEBUGMODE
+ AliInfo("UserNotify ended.");
+ #endif
return kTRUE;
}
+
+//________________________________________________________________________
+inline Double_t AliAnalysisTaskChargedJetsPA::EtaToTheta(Double_t arg)
+ {return 2.*atan(exp(-arg));}
+//________________________________________________________________________
+inline Double_t AliAnalysisTaskChargedJetsPA::ThetaToEta(Double_t arg)
+{
+ if ((arg > TMath::Pi()) || (arg < 0.0))
+ {
+ AliError(Form("ThetaToEta got wrong input! (%f)", arg));
+ return 0.0;
+ }
+ return -log(tan(arg/2.));
+}
+//________________________________________________________________________
+inline Double_t AliAnalysisTaskChargedJetsPA::GetDeltaPhi(Double_t phi1, Double_t phi2)
+ {return min(TMath::Abs(phi1-phi2),TMath::TwoPi() - TMath::Abs(phi1-phi2));}
+
+//________________________________________________________________________
+Double_t AliAnalysisTaskChargedJetsPA::MCGetOverlapCircleRectancle(Double_t cPosX, Double_t cPosY, Double_t cRadius, Double_t rPosXmin, Double_t rPosXmax, Double_t rPosYmin, Double_t rPosYmax)
+{
+ const Int_t kTests = 1000;
+ Int_t hits = 0;
+ TRandom3 randomGen(0);
+
+ // Loop over kTests-many tests
+ for (Int_t i=0; i<kTests; i++)
+ {
+ //Choose random position in rectangle for the tester
+ Double_t tmpTestX = randomGen.Uniform(rPosXmin, rPosXmax);
+ Double_t tmpTestY = randomGen.Uniform(rPosYmin, rPosYmax);
+
+ //Check, if tester is in circle. If yes, increment circle counter.
+ Double_t tmpDistance = TMath::Sqrt( (tmpTestX - cPosX)*(tmpTestX - cPosX) + (tmpTestY - cPosY)*(tmpTestY - cPosY) );
+ if(tmpDistance < cRadius)
+ hits++;
+ }
+
+ // return ratio
+ return (static_cast<Double_t>(hits)/static_cast<Double_t>(kTests));
+}
+
+//________________________________________________________________________
+Double_t AliAnalysisTaskChargedJetsPA::MCGetOverlapMultipleCirclesRectancle(Int_t numCircles, std::vector<Double_t> cPosX, std::vector<Double_t> cPosY, Double_t cRadius, Double_t rPosXmin, Double_t rPosXmax, Double_t rPosYmin, Double_t rPosYmax)
+{
+
+ const Int_t kTests = 1000;
+ Int_t hits = 0;
+ TRandom3 randomGen(0);
+
+ // Loop over kTests-many tests
+ for (Int_t i=0; i<kTests; i++)
+ {
+ //Choose random position in rectangle for the tester
+ Double_t tmpTestX = randomGen.Uniform(rPosXmin, rPosXmax);
+ Double_t tmpTestY = randomGen.Uniform(rPosYmin, rPosYmax);
+
+ //Check, if tester is in one of the circles. If yes, increment circle counter.
+ for(Int_t j=0; j<numCircles; j++)
+ {
+ Double_t tmpDistance = TMath::Sqrt( (tmpTestX - cPosX[j])*(tmpTestX - cPosX[j]) + (tmpTestY - cPosY[j])*(tmpTestY - cPosY[j]) );
+ if(tmpDistance < cRadius)
+ {
+ hits++;
+ break;
+ }
+ }
+ }
+
+ // return ratio
+ return (static_cast<Double_t>(hits)/static_cast<Double_t>(kTests));
+
+}
+
//________________________________________________________________________
inline void AliAnalysisTaskChargedJetsPA::FillHistogram(const char * key, Double_t x)
{
TH1* tmpHist = static_cast<TH1*>(fOutputList->FindObject(GetHistoName(key)));
if(!tmpHist)
{
- AliInfo(Form("Cannot find histogram <%s> ",key)) ;
+ AliError(Form("Cannot find histogram <%s> ",key)) ;
return;
}
TH1* tmpHist = static_cast<TH1*>(fOutputList->FindObject(GetHistoName(key)));
if(!tmpHist)
{
- AliInfo(Form("Cannot find histogram <%s> ",key));
+ AliError(Form("Cannot find histogram <%s> ",key));
return;
}
TH2* tmpHist = static_cast<TH2*>(fOutputList->FindObject(GetHistoName(key)));
if(!tmpHist)
{
- AliInfo(Form("Cannot find histogram <%s> ",key));
+ AliError(Form("Cannot find histogram <%s> ",key));
return;
}
// Note: Saving to file with e.g. OpenFile(0) is must be before creating other objects.
fRandom = new TRandom3(0);
-
+
+
fOutputList = new TList();
fOutputList->SetOwner(); // otherwise it produces leaks in merging
+ // NOTE: Pythia histograms
+ AddHistogram1D<TProfile>("hPythiaXSection", "Pythia cross section distribution", "", fNumPtHardBins+1, 0, fNumPtHardBins+1, "p_{T} hard bin","dN^{Events}/dp_{T,hard}");
+ AddHistogram1D<TH1D>("hPythiaNTrials", "Pythia trials (no correction for manual cuts)", "", fNumPtHardBins+1, 0, fNumPtHardBins+1, "p_{T} hard bin", "Trials");
+
+
PostData(1, fOutputList);
}
void AliAnalysisTaskChargedJetsPA::UserExec(Option_t *)
{
#ifdef DEBUGMODE
- std::cout << "Task " << GetName() << ": UserExec started." << std::endl;
+ AliInfo("UserExec() started.");
#endif
+ if (!InputEvent())
+ {
+ AliError("??? Event pointer == 0 ???");
+ return;
+ }
+
+ if (!fInitialized)
+ ExecOnce(); // Get tracks, jets, background from arrays if not already given + Init Histos
+
Calculate(InputEvent());
PostData(1, fOutputList);
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff