#include <TTree.h>
#include <TKey.h>
#include <TProfile.h>
+#include <TProfile2D.h>
#include <TH1F.h>
#include <TH2F.h>
#include <TCanvas.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(?)
AliInfo("Creating histograms.");
#endif
- AddHistogram1D<TH1D>("hNumberEvents", "Number of events (0 = before, 1 = after vertex cuts)", "", 2, 0, 2, "#Delta z(cm)","N^{Events}/cut");
+ 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");
+
+ 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");
+
+ 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");
+
+ 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
- AddHistogram2D<TH2D>("hJetPt", "Jets p_{T} distribution", "", 1000, 0., 200., 5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPtBgrdSubtractedRC", "Jets p_{T} distribution, RC background subtracted", "", 500, -50., 200.,5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKT", "Jets p_{T} distribution, KT background subtracted", "", 500, -50., 200., 5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPtBgrdSubtractedTR", "Jets p_{T} distribution, TR background subtracted", "", 500, -50., 200.,5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPtBgrdSubtractedRCNoEta", "Jets p_{T} distribution, RC background subtracted (no #eta correction)", "", 500, -50., 200.,5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPtBgrdSubtractedKTNoEta", "Jets p_{T} distribution, KT background subtracted (no #eta correction)", "", 500, -50., 200., 5, 0, 100, "p_{T} (GeV/c)","Centrality","dN^{Jets}/dp_{T}");
- AddHistogram2D<TH2D>("hJetPtBgrdSubtractedTRNoEta", "Jets p_{T} distribution, TR background subtracted (no #eta correction)", "", 500, -50., 200.,5, 0, 100, "p_{T} (GeV/c)","Centrality","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}");
+
+ 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}");
+ }
// ######## 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}");
- 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}");
+ 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)");
- }
-
- // NOTE: Jet background histograms
- if (fAnalyzeBackground)
- {
- // ########## Different background estimates
- AddHistogram2D<TH2D>("hRCBackground", "RC background density (2 leading jets excluded)", "LEGO2", 400, 0., 40., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hKTBackground", "KT background density (2 leading jets excluded)", "LEGO2", 400, 0., 40., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hTRBackground", "TR background density (2 leading jets excluded)", "LEGO2", 400, 0., 40., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
-
- // ########## Delta Pt
- AddHistogram2D<TH2D>("hDeltaPtKT", "Background fluctuations #delta p_{T} (KT)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtRC", "Background fluctuations #delta p_{T} (RC)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtTR", "Background fluctuations #delta p_{T} (TR)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtKTNoEta", "Background fluctuations #delta p_{T} (KT, no #eta correction)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtRCNoEta", "Background fluctuations #delta p_{T} (RC, no #eta correction)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtTRNoEta", "Background fluctuations #delta p_{T} (TR, no #eta correction)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtKTNoEtaNoExcl", "Background fluctuations #delta p_{T} (KT, no #eta correction, no leading jet correction)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtRCNoEtaNoExcl", "Background fluctuations #delta p_{T} (RC, no #eta correction, no leading jet correction)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
- AddHistogram2D<TH2D>("hDeltaPtTRNoEtaNoExcl", "Background fluctuations #delta p_{T} (TR, no #eta correction, no leading jet correction)", "", 600, -40., 80., 5, 0, 100, "#delta p_{T} (GeV/c)","Centrality","dN^{Jets}/d#delta p_{T}");
-
- // ########## Min bias background in eta bins
- AddHistogram2D<TH2D>("hRCBackgroundEta", "RC background density (2 leading jets excluded)", "LEGO2", 400, 0., 40., 5, -0.5, +0.5, "#rho (GeV/c)","#eta", "dN^{Events}/d#rho d#eta");
- AddHistogram2D<TH2D>("hKTBackgroundEta", "KT background density (2 leading jets excluded)", "LEGO2", 400, 0., 40., 5, -0.5, +0.5, "#rho (GeV/c)","#eta", "dN^{Events}/d#rho d#eta");
- AddHistogram2D<TH2D>("hTRBackgroundEta", "TR background density (2 leading jets excluded)", "LEGO2", 400, 0., 40., 5, -0.5, +0.5, "#rho (GeV/c)","#eta", "dN^{Events}/d#rho d#eta");
-
- AddHistogram2D<TH2D>("hRCBackgroundEtaCorrected", "RC background density (2 leading jets excluded, #eta-corrected)", "LEGO2", 400, 0., 40., 5, -0.5, +0.5, "#rho (GeV/c)","#eta", "dN^{Events}/d#rho d#eta");
- AddHistogram2D<TH2D>("hKTBackgroundEtaCorrected", "KT background density (2 leading jets excluded, #eta-corrected)", "LEGO2", 400, 0., 40., 5, -0.5, +0.5, "#rho (GeV/c)","#eta", "dN^{Events}/d#rho d#eta");
- AddHistogram2D<TH2D>("hTRBackgroundEtaCorrected", "TR background density (2 leading jets excluded, #eta-corrected)", "LEGO2", 400, 0., 40., 5, -0.5, +0.5, "#rho (GeV/c)","#eta", "dN^{Events}/d#rho d#eta");
// ########## 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}");
- AddHistogram2D<TH2D>("hDijetBackground", "Background density (dijets excluded)", "", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
- AddHistogram2D<TH2D>("hDijetBackgroundPerpendicular", "Background density (dijets excluded)", "", 200, 0., 20., 5, 0, 100, "#rho (GeV/c)","Centrality", "dN^{Events}/d#rho");
}
- // NOTE: Pythia histograms
- if (fAnalyzePythia)
+ // NOTE: Jet background histograms
+ if (fAnalyzeBackground)
{
- 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+2, -1, fNumPtHardBins+1, "p_{T} hard bin","dN^{Events}/dp_{T,hard}");
- AddHistogram1D<TH1D>("hPythiaNTrials", "Pythia trials (no correction for manual cuts)", "", fNumPtHardBins+2, -1, fNumPtHardBins+1, "p_{T} hard bin", "Trials");
+ // ########## 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");
+ }
}
- // Save eta correction histograms to output when available
- if(fJetKTEtaCorrection)
- {
- fHistList->Add(fJetKTEtaCorrection);
- fHistCount++;
- }
- if(fJetRCEtaCorrection)
+
+ // NOTE: Track & Cluster & QA histograms
+ if (fAnalyzeQA)
{
- fHistList->Add(fJetRCEtaCorrection);
- fHistCount++;
+ 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})");
+ }
}
- if(fJetTREtaCorrection)
+
+ // NOTE: Pythia histograms
+ if (fAnalyzePythia)
{
- fHistList->Add(fJetTREtaCorrection);
- fHistCount++;
+ 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() : AliAnalysisTaskSE("AliAnalysisTaskChargedJetsPA"), fOutputList(0), fAnalyzeJets(1), fAnalyzeBackground(1), fAnalyzePythia(0), fHasTracks(0), fHasJets(0), fHasBackgroundJets(0), fIsMC(0), fJetArray(0), fTrackArray(0), fBackgroundJetArray(0), fJetArrayName(0), fTrackArrayName(0), fBackgroundJetArrayName(0), fNumPtHardBins(11), fRandConeRadius(0.4), fSignalJetRadius(0.4), fBackgroundJetRadius(0.4), fTRBackgroundConeRadius(0.4), fNumberRandCones(8), fNumberExcludedJets(2), fDijetMaxAngleDeviation(10.0), fJetKTEtaCorrection(0), fJetRCEtaCorrection(0), fJetTREtaCorrection(0), fSignalJetEtaWindow(0.5), fBackgroundJetEtaWindow(0.5), fTrackEtaWindow(0.9), fVertexWindow(10.0), fVertexMaxR(1.0), fMinTrackPt(0.150), fMinJetPt(1.0), fMinJetArea(0.4), fMinBackgroundJetPt(0.15), fMinDijetLeadingPt(10.0), 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)
-{
-// default constructor
-}
-
-//________________________________________________________________________
-AliAnalysisTaskChargedJetsPA::AliAnalysisTaskChargedJetsPA(const char *name, const char* trackArrayName, const char* jetArrayName, const char* backgroundJetArrayName) : AliAnalysisTaskSE(name), fOutputList(0), fAnalyzeJets(1), fAnalyzeBackground(1), fAnalyzePythia(0), fHasTracks(0), fHasJets(0), fHasBackgroundJets(0), fIsMC(0), fJetArray(0), fTrackArray(0), fBackgroundJetArray(0), fJetArrayName(0), fTrackArrayName(0), fBackgroundJetArrayName(0), fNumPtHardBins(11), fRandConeRadius(0.4), fSignalJetRadius(0.4), fBackgroundJetRadius(0.4), fTRBackgroundConeRadius(0.4), fNumberRandCones(8), fNumberExcludedJets(2), fDijetMaxAngleDeviation(10.0), fJetKTEtaCorrection(0), fJetRCEtaCorrection(0), fJetTREtaCorrection(0), fSignalJetEtaWindow(0.5), fBackgroundJetEtaWindow(0.5), fTrackEtaWindow(0.9), fVertexWindow(10.0), fVertexMaxR(1.0), fMinTrackPt(0.150), fMinJetPt(1.0), fMinJetArea(0.4), fMinBackgroundJetPt(0.15), fMinDijetLeadingPt(10.0), 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)
+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
AliInfo("Calling constructor.");
instance++;
fTrackArrayName = new TString(trackArrayName);
- if (fTrackArrayName->Contains("MCParticles")) //TODO: Not working 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
AliInfo("Constructor done.");
#endif
//________________________________________________________________________
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 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};
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)
return kFALSE;
}
+//________________________________________________________________________
+inline Bool_t AliAnalysisTaskChargedJetsPA::IsTrackInJet(AliEmcalJet* jet, Int_t trackIndex)
+{
+ 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::IsEventInAcceptance(AliVEvent* event)
+{
+ if (!event)
+ 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::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;
}
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
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
fAnalyzeBackground = kFALSE;
}
- // Initialize helper class (for vertex selection)
+ // Initialize helper class (for vertex selection & pile up correction)
fHelperClass = new AliAnalysisUtils();
-
+ fHelperClass->SetCutOnZVertexSPD(kFALSE);
// Histogram init
Init();
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])
+ for (Int_t j = 0; j <= tmpJets.GetEntries(); j++)
{
- maxJetPts[1] = maxJetPts[0];
- jetIDArray[1] = jetIDArray[0];
- maxJetPts[0] = jet->Pt();
- jetIDArray[0] = i;
- }
- else if (jet->Pt() > maxJetPts[1])
- {
- 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::GetBackgroundEtaCorrFactor(EtaCorrectionMode mode, Double_t eta, Double_t background)
-{
- if ((eta>=-0.5) && (eta<-0.3))
- return GetBackgroundEtaBinCorrFactor(mode, 1, background);
- else if ((eta>=-0.3) && (eta<-0.1))
- return GetBackgroundEtaBinCorrFactor(mode, 2, background);
- else if ((eta>=-0.1) && (eta<+0.1))
- return GetBackgroundEtaBinCorrFactor(mode, 3, background);
- else if ((eta>=+0.1) && (eta<+0.3))
- return GetBackgroundEtaBinCorrFactor(mode, 4, background);
- else if ((eta>=+0.3) && (eta<=+0.5))
- return GetBackgroundEtaBinCorrFactor(mode, 5, background);
- else
- AliError(Form("Wrong eta value! Eta=%1.4f", eta));
-
- return 1.0;
-}
-
-//________________________________________________________________________
-Double_t AliAnalysisTaskChargedJetsPA::GetBackgroundEtaBinCorrFactor(EtaCorrectionMode mode, Int_t eta, Double_t background)
-{
- Double_t corrFactor = 1.0;
-
- if((eta < 1) || (eta>5))
- {
- AliError("Wrong eta bin!");
- return corrFactor;
- }
- // if background not valid, do not correct
- if(background<0)
- return corrFactor;
-
- if(mode == kKTEtaCorrection)
- corrFactor = fJetKTEtaCorrection->GetBinContent(eta, fJetKTEtaCorrection->GetYaxis()->FindBin(background));
- else if(mode == kRCEtaCorrection)
- corrFactor = fJetRCEtaCorrection->GetBinContent(eta, fJetRCEtaCorrection->GetYaxis()->FindBin(background));
- else if(mode == kTREtaCorrection)
- corrFactor = fJetTREtaCorrection->GetBinContent(eta, fJetTREtaCorrection->GetYaxis()->FindBin(background));
- else if(mode == kNoEtaCorrection)
- corrFactor = 1.0;
-
- return corrFactor;
-}
//________________________________________________________________________
-Double_t AliAnalysisTaskChargedJetsPA::GetCorrectedJetPt(AliEmcalJet* jet, Double_t background, EtaCorrectionMode mode)
+Double_t AliAnalysisTaskChargedJetsPA::GetCorrectedJetPt(AliEmcalJet* jet, Double_t background)
{
#ifdef DEBUGMODE
AliInfo("Getting corrected jet spectra.");
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 in dependence of jet eta and background density
- Double_t corrfactor = 1.0;
- corrfactor = GetBackgroundEtaCorrFactor(mode, 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
AliInfo("Got corrected jet spectra.");
//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetDeltaPt(Double_t& deltaPt, Double_t rho, EtaCorrectionMode mode, Bool_t leadingJetExclusion)
+Double_t AliAnalysisTaskChargedJetsPA::GetDeltaPt(Double_t rho, Double_t leadingJetExclusionProbability)
{
#ifdef DEBUGMODE
AliInfo("Getting Delta Pt.");
#endif
// Define an invalid delta pt
- deltaPt = -10000.0;
+ Double_t deltaPt = -10000.0;
// Define eta range
Double_t etaMin, etaMax;
// Define random cone
Bool_t coneValid = kTRUE;
- Double_t tmpRandConeEta = 0.0;
- Double_t tmpRandConePhi = 0.0;
- tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin);
- tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi();
+ Double_t tmpRandConeEta = etaMin + fRandom->Rndm()*(etaMax-etaMin);
+ Double_t tmpRandConePhi = fRandom->Rndm()*TMath::TwoPi();
- // Apply eta correction on background if demanded
- rho *= GetBackgroundEtaCorrFactor(mode, tmpRandConeEta, rho);
-
- AliEmcalJet* tmpJet = fFirstLeadingJet;
// if there is a jet, check for overlap if demanded
- if(tmpJet && leadingJetExclusion)
+ if(leadingJetExclusionProbability)
{
- 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)
+ 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)
{
- // Define probability to exclude the RC
- Double_t probability = (fNumberSignalJets-1)/fNumberSignalJets;
+ Double_t excludedJetPhi = tmpLeading->Phi();
+ Double_t excludedJetEta = tmpLeading->Eta();
+ Double_t tmpDeltaPhi = GetDeltaPhi(tmpRandConePhi, excludedJetPhi);
- // Only exclude cone with a given probability
- if (fRandom->Rndm()<=probability)
- coneValid = kFALSE;
+ // 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;
+
+ // 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
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
- AliInfo("Getting KT background density.");
+ 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;
-
+ // 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;
+ }
+ }
+ tmpSummedArea += backgroundJet->Area();
+ if(backgroundJet->Pt() > 0.150)
+ tmpCoveredArea += backgroundJet->Area();
- if (!IsBackgroundJetInAcceptance(jet))
- continue;
- if (!((jet->Eta() >= etaMin) && (jet->Eta() < etaMax)))
+ if (!IsBackgroundJetInAcceptance(backgroundJet))
continue;
-
- tmpRhos[jetCountAccepted] = jet->Pt() / jet->Area();
- tmpAreas[jetCountAccepted] = jet->Area();
- jetCountAccepted++;
+ Double_t tmpRho = 0.0;
+ if(backgroundJet->Area())
+ tmpRho = backgroundJet->Pt() / backgroundJet->Area();
+
+ // PbPb approach (take ghosts into account)
+ if ((i != leadingKTJets[0]) && (i != leadingKTJets[1]))
+ {
+ tmpRhoPbPbWithGhosts[rhoPbPbWithGhostsJetCount] = tmpRho;
+ rhoPbPbWithGhostsJetCount++;
+ }
+
+ if(backgroundJet->Pt() > 0.150)
+ {
+ // CMS approach: don't take ghosts into acount
+ tmpRhoCMS[rhoCMSJetCount] = tmpRho;
+ rhoCMSJetCount++;
+
+ // Improved CMS approach: like CMS but excluding signal
+ if(!isOverlapping)
+ {
+ tmpRhoImprovedCMS[rhoImprovedCMSJetCount] = tmpRho;
+ rhoImprovedCMSJetCount++;
+ }
+
+ // PbPb w/o ghosts approach (just neglect ghosts)
+ if ((i != leadingKTJets[0]) && (i != leadingKTJets[1]))
+ {
+ tmpRhoPbPb[rhoPbPbJetCount] = tmpRho;
+ rhoPbPbJetCount++;
+ }
+ }
+
+ // (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
- AliInfo("Got KT background density.");
+ 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
- AliInfo("Getting RC background density.");
+ 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;
+ AliEmcalJet* backgroundJet = static_cast<AliEmcalJet*>(fBackgroundJetArray->At(i));
- // 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);
-
- 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
- AliInfo("Got RC background density.");
+ AliInfo("Got KT background density.");
#endif
- return numAcceptedRCs;
}
+
//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::GetTRBackgroundDensity(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
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(), fTRBackgroundConeRadius))
- {
- 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(), fTRBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi()) -MCGetOverlapCircleRectancle(fSecondLeadingJet->Eta(), fSecondLeadingJet->Phi(), fTRBackgroundConeRadius, etaMin, etaMax, 0., TMath::TwoPi()));
- else if (numberExcludeLeadingJets == 1)
- tmpArea = tmpArea*(1.0-MCGetOverlapCircleRectancle(fFirstLeadingJet->Eta(), fFirstLeadingJet->Phi(), fTRBackgroundConeRadius, 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
AliInfo("Got 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
#endif
////////////////////// NOTE: initialization & casting
- // Additional cuts
- FillHistogram("hNumberEvents", 0.5); // number of events before manual cuts
+ fEventCounter++;
+
+ // Check, if analysis should be done in pt hard bins
+ if(fUsePtHardBin != -1)
+ if(GetPtHardBin() != fUsePtHardBin)
+ return;
- if(!fHelperClass->IsVertexSelected2013pA(event))
+ // This is to take only every Nth event
+ if((fEventCounter+fPartialAnalysisIndex) % fPartialAnalysisNParts != 0)
return;
- FillHistogram("hNumberEvents", 1.5); // number of events after manual cuts
+ FillHistogram("hNumberEvents",0.5);
+
+ if(!IsEventInAcceptance(event))
+ return;
+
+ FillHistogram("hNumberEvents",1.5);
#ifdef DEBUGMODE
AliInfo("Calculate()::Init done.");
// 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(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 estimates
- Double_t backgroundKTMedian = -1.0;
- Double_t backgroundRCMean = -1.0;
- Double_t backgroundRCMedian = -1.0;
- Double_t backgroundTRMean = -1.0;
- Double_t backgroundKTAreaMean = -1.0;
- Double_t backgroundTRAreaMean = -1.0;
- Double_t dijetBackground = -1.0;
- Double_t dijetBackgroundPerpendicular = -1.0;
+ 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)
{
- GetRCBackgroundDensity (fNumberExcludedJets, backgroundRCMean, backgroundRCMedian);
- GetTRBackgroundDensity (fNumberExcludedJets, backgroundTRMean, backgroundTRAreaMean);
- GetKTBackgroundDensity (fNumberExcludedJets, backgroundKTMedian, backgroundKTAreaMean);
+
+ if(fAnalyzeDeprecatedBackgrounds)
+ GetKTBackgroundDensityAll (fNumberExcludedJets, backgroundKTPbPb, backgroundKTPbPbWithGhosts, backgroundKTCMS, backgroundKTImprovedCMS, backgroundKTMean, backgroundKTTrackLike);
+ else
+ GetKTBackgroundDensity (fNumberExcludedJets, backgroundKTImprovedCMS);
+
+ if(fAnalyzeDeprecatedBackgrounds)
+ GetTRBackgroundDensity (fNumberExcludedJets, backgroundTRNoExcl, backgroundTRCone02, backgroundTRCone04, backgroundTRCone06, backgroundTRCone08, backgroundTRExact);
+
+ backgroundKTImprovedCMSExternal = GetExternalRho();
}
#ifdef DEBUGMODE
AliInfo("Calculate()::Centrality&SignalJets&Background-Calculation done.");
#endif
+ if (fAnalyzeQA)
+ {
+ 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("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("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);
+
+ }
+ #ifdef DEBUGMODE
+ AliInfo("Calculate()::QA done.");
+ #endif
+
////////////////////// NOTE: Jet analysis and calculations
if (fAnalyzeJets)
{
- // ### SIGNAL JET ANALYSIS
- for (Int_t i = 0; i<fNumberSignalJets; i++)
+ for (Int_t i = 0; i<fJetArray->GetEntries(); i++)
{
- AliEmcalJet* tmpJet = fSignalJets[i];
+ AliEmcalJet* tmpJet = static_cast<AliEmcalJet*>(fJetArray->At(i));
+ if (!tmpJet)
+ continue;
- // Jet spectra
- FillHistogram("hJetPt", tmpJet->Pt(), centralityPercentile);
- FillHistogram("hJetPtBgrdSubtractedRC", GetCorrectedJetPt(tmpJet, backgroundRCMean, kRCEtaCorrection), centralityPercentile);
- FillHistogram("hJetPtBgrdSubtractedKT", GetCorrectedJetPt(tmpJet, backgroundKTMedian, kKTEtaCorrection), centralityPercentile);
- FillHistogram("hJetPtBgrdSubtractedTR", GetCorrectedJetPt(tmpJet, backgroundTRMean, kTREtaCorrection), centralityPercentile);
+ 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());
+ }
- FillHistogram("hJetPtBgrdSubtractedRCNoEta", GetCorrectedJetPt(tmpJet, backgroundRCMean, kNoEtaCorrection), centralityPercentile);
- FillHistogram("hJetPtBgrdSubtractedKTNoEta", GetCorrectedJetPt(tmpJet, backgroundKTMedian, kNoEtaCorrection), centralityPercentile);
- FillHistogram("hJetPtBgrdSubtractedTRNoEta", GetCorrectedJetPt(tmpJet, backgroundTRMean, kNoEtaCorrection), centralityPercentile);
+ 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);
- // Signal jet vs. signal jet - "Combinatorial"
- for (Int_t j = i+1; j<fNumberSignalJets; j++)
- FillHistogram("hJetDeltaPhi", GetDeltaPhi(tmpJet->Phi(), fSignalJets[j]->Phi()));
+ 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
FillHistogram("hDijetLeadingJetPt", fFirstLeadingJet->Pt());
FillHistogram("hDijetPtCorrelation", fFirstLeadingJet->Pt(), fSecondLeadingJet->Pt());
Double_t dummyArea = 0;
- GetTRBackgroundDensity (2, dijetBackground, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kFALSE);
- GetTRBackgroundDensity (2, dijetBackgroundPerpendicular, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kTRUE);
+ GetTRBackgroundDensity (2, backgroundDijet, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kFALSE);
+ GetTRBackgroundDensity (2, backgroundDijetPerpendicular, dummyArea, fFirstLeadingJet, fSecondLeadingJet, kTRUE);
}
}
// ### SOME JET PLOTS
FillHistogram("hJetCountAll", fJetArray->GetEntries());
FillHistogram("hJetCountAccepted", fNumberSignalJets);
+ FillHistogram("hJetCount", fJetArray->GetEntries(), fNumberSignalJets);
if (fFirstLeadingJet)
+ {
FillHistogram("hLeadingJetPt", fFirstLeadingJet->Pt());
+ FillHistogram("hCorrectedLeadingJetPt", GetCorrectedJetPt(fFirstLeadingJet,backgroundKTImprovedCMS));
+ }
if (fSecondLeadingJet)
+ {
FillHistogram("hSecondLeadingJetPt", fSecondLeadingJet->Pt());
+ FillHistogram("hCorrectedSecondLeadingJetPt", GetCorrectedJetPt(fSecondLeadingJet,backgroundKTImprovedCMS));
+ }
} //endif AnalyzeJets
if (fAnalyzeBackground)
{
- // Calculate (non-eta corrected) background in centrality classes
- FillHistogram("hRCBackground", backgroundRCMean, centralityPercentile);
- FillHistogram("hTRBackground", backgroundTRMean, centralityPercentile);
- FillHistogram("hKTBackground", backgroundKTMedian, centralityPercentile);
+ // Calculate background in centrality classes
+ FillHistogram("hKTBackgroundImprovedCMS", backgroundKTImprovedCMS, centralityPercentile);
- // Calculate backgrounds in eta bins
- for(Int_t i=0;i<5;i++)
- {
- Double_t dummy = 0.0;
- Double_t tmpKTRho = 0.0;
- Double_t tmpRCRho = 0.0;
- Double_t tmpTRRho = 0.0;
- Double_t tmpKTRhoCorr = 0.0;
- Double_t tmpRCRhoCorr = 0.0;
- Double_t tmpTRRhoCorr = 0.0;
-
- Double_t etaMin = -(fTrackEtaWindow-fSignalJetRadius) + 2*(fTrackEtaWindow-fSignalJetRadius)/5 * i;
- Double_t etaMax = -(fTrackEtaWindow-fSignalJetRadius) + 2*(fTrackEtaWindow-fSignalJetRadius)/5 * (i+1);
-
- // Calculate backgrounds
- GetKTBackgroundDensity (fNumberExcludedJets, tmpKTRho, dummy, etaMin, etaMax);
- GetTRBackgroundDensity (fNumberExcludedJets, tmpTRRho, dummy, etaMin, etaMax);
- GetRCBackgroundDensity (fNumberExcludedJets, tmpRCRho, dummy, etaMin, etaMax);
- // Add eta-correction
- tmpKTRhoCorr = tmpKTRho * GetBackgroundEtaCorrFactor(kKTEtaCorrection, (etaMin+etaMax)/2.0, tmpKTRho);
- tmpTRRhoCorr = tmpTRRho * GetBackgroundEtaCorrFactor(kTREtaCorrection, (etaMin+etaMax)/2.0, tmpTRRho);
- tmpRCRhoCorr = tmpRCRho * GetBackgroundEtaCorrFactor(kRCEtaCorrection, (etaMin+etaMax)/2.0, tmpRCRho);
-
- FillHistogram("hRCBackgroundEta", tmpRCRho, (etaMin+etaMax)/2.0);
- FillHistogram("hTRBackgroundEta", tmpTRRho, (etaMin+etaMax)/2.0);
- FillHistogram("hKTBackgroundEta", tmpKTRho, (etaMin+etaMax)/2.0);
- FillHistogram("hRCBackgroundEtaCorrected", tmpRCRhoCorr, (etaMin+etaMax)/2.0);
- FillHistogram("hTRBackgroundEtaCorrected", tmpTRRhoCorr, (etaMin+etaMax)/2.0);
- FillHistogram("hKTBackgroundEtaCorrected", tmpKTRhoCorr, (etaMin+etaMax)/2.0);
- }
+ FillHistogram("hKTBackgroundImprovedCMSExternal", backgroundKTImprovedCMSExternal, centralityPercentile);
+
+ FillHistogram("hKTMeanBackgroundImprovedCMS", centralityPercentile, backgroundKTImprovedCMS);
// In case of dijets -> look at the background
- if (dijetBackground >= 0)
- FillHistogram("hDijetBackground", dijetBackground, centralityPercentile);
- if (dijetBackgroundPerpendicular >= 0)
- FillHistogram("hDijetBackgroundPerpendicular", dijetBackgroundPerpendicular, centralityPercentile);
+ if (backgroundDijet >= 0)
+ FillHistogram("hDijetBackground", backgroundDijet, centralityPercentile);
+ if (backgroundDijetPerpendicular >= 0)
+ FillHistogram("hDijetBackgroundPerpendicular", backgroundDijetPerpendicular, centralityPercentile);
+
+ if(fAnalyzeDeprecatedBackgrounds)
+ {
+ 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);
+ }
// Calculate the delta pt
- Double_t tmpDeltaPtKT = 0.0;
- Double_t tmpDeltaPtRC = 0.0;
- Double_t tmpDeltaPtTR = 0.0;
- Double_t tmpDeltaPtKTNoEta = 0.0;
- Double_t tmpDeltaPtRCNoEta = 0.0;
- Double_t tmpDeltaPtTRNoEta = 0.0;
- Double_t tmpDeltaPtKTNoEtaNoExcl = 0.0;
- Double_t tmpDeltaPtRCNoEtaNoExcl = 0.0;
- Double_t tmpDeltaPtTRNoEtaNoExcl = 0.0;
- GetDeltaPt(tmpDeltaPtKT, backgroundKTMedian, kKTEtaCorrection);
- GetDeltaPt(tmpDeltaPtRC, backgroundRCMean, kRCEtaCorrection);
- GetDeltaPt(tmpDeltaPtTR, backgroundTRMean, kTREtaCorrection);
- GetDeltaPt(tmpDeltaPtKTNoEta, backgroundKTMedian, kNoEtaCorrection);
- GetDeltaPt(tmpDeltaPtRCNoEta, backgroundRCMean, kNoEtaCorrection);
- GetDeltaPt(tmpDeltaPtTRNoEta, backgroundTRMean, kNoEtaCorrection);
- GetDeltaPt(tmpDeltaPtKTNoEtaNoExcl, backgroundKTMedian, kNoEtaCorrection, kFALSE);
- GetDeltaPt(tmpDeltaPtRCNoEtaNoExcl, backgroundRCMean, kNoEtaCorrection, kFALSE);
- GetDeltaPt(tmpDeltaPtTRNoEtaNoExcl, backgroundTRMean, kNoEtaCorrection, kFALSE);
+ 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)
+ {
+ tmpDeltaPtKTPbPb = GetDeltaPt(backgroundKTPbPb);
+ tmpDeltaPtKTPbPbWithGhosts = GetDeltaPt(backgroundKTPbPbWithGhosts);
+ tmpDeltaPtKTCMS = GetDeltaPt(backgroundKTCMS);
+ tmpDeltaPtKTMean = GetDeltaPt(backgroundKTMean);
+ tmpDeltaPtKTTrackLike = GetDeltaPt(backgroundKTTrackLike);
+ tmpDeltaPtTR = GetDeltaPt(backgroundTRCone06);
+ }
// If valid, fill the delta pt histograms
- if(tmpDeltaPtKT > -10000.0)
- FillHistogram("hDeltaPtKT", tmpDeltaPtKT, centralityPercentile);
- if(tmpDeltaPtRC > -10000.0)
- FillHistogram("hDeltaPtRC", tmpDeltaPtRC, centralityPercentile);
- if(tmpDeltaPtTR > -10000.0)
- FillHistogram("hDeltaPtTR", tmpDeltaPtTR, centralityPercentile);
- if(tmpDeltaPtKTNoEta > -10000.0)
- FillHistogram("hDeltaPtKTNoEta", tmpDeltaPtKTNoEta, centralityPercentile);
- if(tmpDeltaPtRCNoEta > -10000.0)
- FillHistogram("hDeltaPtRCNoEta", tmpDeltaPtRCNoEta, centralityPercentile);
- if(tmpDeltaPtTRNoEta > -10000.0)
- FillHistogram("hDeltaPtTRNoEta", tmpDeltaPtTRNoEta, centralityPercentile);
- if(tmpDeltaPtKTNoEtaNoExcl > -10000.0)
- FillHistogram("hDeltaPtKTNoEtaNoExcl", tmpDeltaPtKTNoEtaNoExcl, centralityPercentile);
- if(tmpDeltaPtRCNoEtaNoExcl > -10000.0)
- FillHistogram("hDeltaPtRCNoEtaNoExcl", tmpDeltaPtRCNoEtaNoExcl, centralityPercentile);
- if(tmpDeltaPtTRNoEtaNoExcl > -10000.0)
- FillHistogram("hDeltaPtTRNoEtaNoExcl", tmpDeltaPtTRNoEtaNoExcl, centralityPercentile);
+ 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)
+ {
+ 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, centralityPercentile);
+ }
}
#ifdef DEBUGMODE
if(fAnalyzePythia)
{
FillHistogram("hPythiaPtHard", GetPtHard());
- FillHistogram("hPythiaNTrials", GetPtHardBin()-0.1, fTrials);
- FillHistogram("hPythiaXSection", GetPtHardBin()-0.1, fCrossSection);
+ FillHistogram("hPythiaNTrials", GetPtHardBin()+0.1, GetPythiaTrials());
+ FillHistogram("hPythiaXSection", GetPtHardBin()+0.1, fCrossSection);
- #ifdef DEBUGMODE
+ #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
- AliInfo("Notify started.");
+ AliInfo("UserNotify started.");
#endif
if(fAnalyzePythia)
fCrossSection = xsection;
fxsec->Close();
}
- #ifdef DEBUGMODE
- AliInfo("Notify ended.");
- #endif
}
+ #ifdef DEBUGMODE
+ AliInfo("UserNotify ended.");
+ #endif
return kTRUE;
}
-//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::SetKTEtaCorrectionFactors(TH2D* histo)
-{
- // COPY given histogram
- fJetKTEtaCorrection = new TH2D(*histo);
-
- if (!fJetKTEtaCorrection)
- AliError(Form("Setting the correction factors with %s (%s) failed! You won't get eta-corrected spectra!", histo->GetName(), histo->IsA()->GetName()));
-
- // Look, if given histogram is compatible with given code
- if (fJetKTEtaCorrection->GetXaxis()->GetNbins() != 5)
- AliError(Form("Setting the correction factors failed, because the given histogram is not compatible! You need nbinX=5 (currently:%d)",fJetKTEtaCorrection->GetXaxis()->GetNbins()));
-}
-
-//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::SetRCEtaCorrectionFactors(TH2D* histo)
-{
- // COPY given histogram
- fJetRCEtaCorrection = new TH2D(*histo);
-
- if (!fJetRCEtaCorrection)
- AliError(Form("Setting the correction factors with %s (%s) failed! You won't get eta-corrected spectra!", histo->GetName(), histo->IsA()->GetName()));
-
- // Look, if given histogram is compatible with given code
- if (fJetRCEtaCorrection->GetXaxis()->GetNbins() != 5)
- AliError(Form("Setting the correction factors failed, because the given histogram is not compatible! You need nbinX=5 (currently:%d)",fJetRCEtaCorrection->GetXaxis()->GetNbins()));
-}
-
-//________________________________________________________________________
-void AliAnalysisTaskChargedJetsPA::SetTREtaCorrectionFactors(TH2D* histo)
-{
- // COPY given histogram
- fJetTREtaCorrection = new TH2D(*histo);
-
- if (!fJetTREtaCorrection)
- AliError(Form("Setting the correction factors with %s (%s) failed! You won't get eta-corrected spectra!", histo->GetName(), histo->IsA()->GetName()));
-
- // Look, if given histogram is compatible with given code
- if (fJetTREtaCorrection->GetXaxis()->GetNbins() != 5)
- AliError(Form("Setting the correction factors failed, because the given histogram is not compatible! You need nbinX=5 (currently:%d)",fJetTREtaCorrection->GetXaxis()->GetNbins()));
-}
//________________________________________________________________________
inline Double_t AliAnalysisTaskChargedJetsPA::EtaToTheta(Double_t arg)
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)
{
- AliWarning(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)
{
- AliWarning(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)
{
- AliWarning(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);
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff