#include "AliESDtrackCuts.h"
#include <AliESDtrack.h>
-#include <AliESD.h>
+#include <AliESDVertex.h>
#include <AliESDEvent.h>
#include <AliLog.h>
#include <TTree.h>
#include <TCanvas.h>
#include <TDirectory.h>
+#include <TH2F.h>
+#include <TF1.h>
//____________________________________________________________________
ClassImp(AliESDtrackCuts)
// Cut names
const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = {
"require TPC refit",
+ "require TPC standalone",
"require ITS refit",
"n clusters TPC",
"n clusters ITS",
- "#Chi^{2}/clusters TPC",
- "#Chi^{2}/clusters ITS",
+ "#Chi^{2}/cluster TPC",
+ "#Chi^{2}/cluster ITS",
"cov 11",
"cov 22",
"cov 33",
"p_{x}",
"p_{y}",
"p_{z}",
+ "eta",
"y",
- "eta"
+ "trk-to-vtx max dca 2D absolute",
+ "trk-to-vtx max dca xy absolute",
+ "trk-to-vtx max dca z absolute",
+ "trk-to-vtx min dca 2D absolute",
+ "trk-to-vtx min dca xy absolute",
+ "trk-to-vtx min dca z absolute",
+ "SPD cluster requirement",
+ "SDD cluster requirement",
+ "SSD cluster requirement",
+ "require ITS stand-alone",
+ "rel 1/pt uncertainty",
+ "require ITS Pid"
};
//____________________________________________________________________
fCutMaxC33(0),
fCutMaxC44(0),
fCutMaxC55(0),
+ fCutMaxRel1PtUncertainty(0),
fCutAcceptKinkDaughters(0),
+ fCutAcceptSharedTPCClusters(0),
+ fCutMaxFractionSharedTPCClusters(0),
fCutRequireTPCRefit(0),
- fCutRequireITSRefit(0),
+ fCutRequireTPCStandAlone(0),
+ fCutRequireITSRefit(0),
+ fCutRequireITSPid(0),
+ fCutRequireITSStandAlone(0),
+ fCutRequireITSpureSA(0),
fCutNsigmaToVertex(0),
fCutSigmaToVertexRequired(0),
+ fCutMaxDCAToVertexXY(0),
+ fCutMaxDCAToVertexZ(0),
+ fCutMinDCAToVertexXY(0),
+ fCutMinDCAToVertexZ(0),
+ fCutMaxDCAToVertexXYPtDep(""),
+ fCutMaxDCAToVertexZPtDep(""),
+ fCutMinDCAToVertexXYPtDep(""),
+ fCutMinDCAToVertexZPtDep(""),
+ f1CutMaxDCAToVertexXYPtDep(0x0),
+ f1CutMaxDCAToVertexZPtDep(0x0),
+ f1CutMinDCAToVertexXYPtDep(0x0),
+ f1CutMinDCAToVertexZPtDep(0x0),
+ fCutDCAToVertex2D(0),
fPMin(0),
fPMax(0),
fPtMin(0),
SetMinNClustersITS();
SetMaxChi2PerClusterTPC();
SetMaxChi2PerClusterITS();
- SetMaxCovDiagonalElements();
+ SetMaxCovDiagonalElements();
+ SetMaxRel1PtUncertainty();
SetRequireTPCRefit();
+ SetRequireTPCStandAlone();
SetRequireITSRefit();
- SetAcceptKingDaughters();
- SetMinNsigmaToVertex();
- SetRequireSigmaToVertex();
+ SetRequireITSPid(kFALSE);
+ SetRequireITSStandAlone(kFALSE);
+ SetRequireITSPureStandAlone(kFALSE);
+ SetAcceptKinkDaughters();
+ SetMaxNsigmaToVertex();
+ SetMaxDCAToVertexXY();
+ SetMaxDCAToVertexZ();
+ SetDCAToVertex2D();
+ SetMinDCAToVertexXY();
+ SetMinDCAToVertexZ();
SetPRange();
SetPtRange();
SetPxRange();
SetPzRange();
SetEtaRange();
SetRapRange();
+ SetClusterRequirementITS(kSPD);
+ SetClusterRequirementITS(kSDD);
+ SetClusterRequirementITS(kSSD);
SetHistogramsOn();
}
fCutMaxC33(0),
fCutMaxC44(0),
fCutMaxC55(0),
+ fCutMaxRel1PtUncertainty(0),
fCutAcceptKinkDaughters(0),
+ fCutAcceptSharedTPCClusters(0),
+ fCutMaxFractionSharedTPCClusters(0),
fCutRequireTPCRefit(0),
+ fCutRequireTPCStandAlone(0),
fCutRequireITSRefit(0),
+ fCutRequireITSPid(0),
+ fCutRequireITSStandAlone(0),
+ fCutRequireITSpureSA(0),
fCutNsigmaToVertex(0),
fCutSigmaToVertexRequired(0),
+ fCutMaxDCAToVertexXY(0),
+ fCutMaxDCAToVertexZ(0),
+ fCutMinDCAToVertexXY(0),
+ fCutMinDCAToVertexZ(0),
+ fCutMaxDCAToVertexXYPtDep(""),
+ fCutMaxDCAToVertexZPtDep(""),
+ fCutMinDCAToVertexXYPtDep(""),
+ fCutMinDCAToVertexZPtDep(""),
+ f1CutMaxDCAToVertexXYPtDep(0x0),
+ f1CutMaxDCAToVertexZPtDep(0x0),
+ f1CutMinDCAToVertexXYPtDep(0x0),
+ f1CutMinDCAToVertexZPtDep(0x0),
+ fCutDCAToVertex2D(0),
fPMin(0),
fPMax(0),
fPtMin(0),
if (fhC44[i])
delete fhC44[i];
if (fhC55[i])
- delete fhC55[i];
+ delete fhC55[i];
+
+ if (fhRel1PtUncertainty[i])
+ delete fhRel1PtUncertainty[i];
if (fhDXY[i])
delete fhDXY[i];
if (fhDZ[i])
- delete fhDZ[i];
+ delete fhDZ[i];
+ if (fhDXYDZ[i])
+ delete fhDXYDZ[i];
if (fhDXYvsDZ[i])
- delete fhDXYvsDZ[i];
-
+ delete fhDXYvsDZ[i];
+
if (fhDXYNormalized[i])
delete fhDXYNormalized[i];
if (fhDZNormalized[i])
delete fhDZNormalized[i];
if (fhDXYvsDZNormalized[i])
- delete fhDXYvsDZNormalized[i];
+ delete fhDXYvsDZNormalized[i];
if (fhNSigmaToVertex[i])
delete fhNSigmaToVertex[i];
if (fhPt[i])
delete fhEta[i];
}
+ if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep;
+ f1CutMaxDCAToVertexXYPtDep = 0;
+ if( f1CutMaxDCAToVertexZPtDep) delete f1CutMaxDCAToVertexZPtDep;
+ f1CutMaxDCAToVertexZPtDep = 0;
+ if( f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep;
+ f1CutMinDCAToVertexXYPtDep = 0;
+ if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep;
+ f1CutMinDCAToVertexZPtDep = 0;
+
+
if (ffDTheoretical)
delete ffDTheoretical;
fCutMaxChi2PerClusterTPC = 0;
fCutMaxChi2PerClusterITS = 0;
+
+ for (Int_t i = 0; i < 3; i++)
+ fCutClusterRequirementITS[i] = kOff;
fCutMaxC11 = 0;
fCutMaxC22 = 0;
fCutMaxC33 = 0;
fCutMaxC44 = 0;
fCutMaxC55 = 0;
+
+ fCutMaxRel1PtUncertainty = 0;
fCutAcceptKinkDaughters = 0;
+ fCutAcceptSharedTPCClusters = 0;
+ fCutMaxFractionSharedTPCClusters = 0;
fCutRequireTPCRefit = 0;
+ fCutRequireTPCStandAlone = 0;
fCutRequireITSRefit = 0;
+ fCutRequireITSPid = 0;
+ fCutRequireITSStandAlone = 0;
+ fCutRequireITSpureSA = 0;
fCutNsigmaToVertex = 0;
fCutSigmaToVertexRequired = 0;
+ fCutMaxDCAToVertexXY = 0;
+ fCutMaxDCAToVertexZ = 0;
+ fCutDCAToVertex2D = 0;
+ fCutMinDCAToVertexXY = 0;
+ fCutMinDCAToVertexZ = 0;
+ fCutMaxDCAToVertexXYPtDep = "";
+ fCutMaxDCAToVertexZPtDep = "";
+ fCutMinDCAToVertexXYPtDep = "";
+ fCutMinDCAToVertexZPtDep = "";
+
+ if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep;
+ f1CutMaxDCAToVertexXYPtDep = 0;
+ if( f1CutMaxDCAToVertexXYPtDep) delete f1CutMaxDCAToVertexXYPtDep;
+ f1CutMaxDCAToVertexXYPtDep = 0;
+ if( f1CutMaxDCAToVertexZPtDep) delete f1CutMaxDCAToVertexZPtDep;
+ f1CutMaxDCAToVertexZPtDep = 0;
+ if( f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep;
+ f1CutMinDCAToVertexXYPtDep = 0;
+ if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep;
+ f1CutMinDCAToVertexZPtDep = 0;
+
fPMin = 0;
fPMax = 0;
fPtMin = 0;
fhC44[i] = 0;
fhC55[i] = 0;
+ fhRel1PtUncertainty[i] = 0;
+
fhDXY[i] = 0;
fhDZ[i] = 0;
+ fhDXYDZ[i] = 0;
fhDXYvsDZ[i] = 0;
fhDXYNormalized[i] = 0;
target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC;
target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS;
+ for (Int_t i = 0; i < 3; i++)
+ target.fCutClusterRequirementITS[i] = fCutClusterRequirementITS[i];
+
target.fCutMaxC11 = fCutMaxC11;
target.fCutMaxC22 = fCutMaxC22;
target.fCutMaxC33 = fCutMaxC33;
target.fCutMaxC44 = fCutMaxC44;
target.fCutMaxC55 = fCutMaxC55;
+ target.fCutMaxRel1PtUncertainty = fCutMaxRel1PtUncertainty;
+
target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters;
+ target.fCutAcceptSharedTPCClusters = fCutAcceptSharedTPCClusters;
+ target.fCutMaxFractionSharedTPCClusters = fCutMaxFractionSharedTPCClusters;
target.fCutRequireTPCRefit = fCutRequireTPCRefit;
+ target.fCutRequireTPCStandAlone = fCutRequireTPCStandAlone;
target.fCutRequireITSRefit = fCutRequireITSRefit;
+ target.fCutRequireITSPid = fCutRequireITSPid;
+ target.fCutRequireITSStandAlone = fCutRequireITSStandAlone;
+ target.fCutRequireITSpureSA = fCutRequireITSpureSA;
target.fCutNsigmaToVertex = fCutNsigmaToVertex;
target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired;
+ target.fCutMaxDCAToVertexXY = fCutMaxDCAToVertexXY;
+ target.fCutMaxDCAToVertexZ = fCutMaxDCAToVertexZ;
+ target.fCutDCAToVertex2D = fCutDCAToVertex2D;
+ target.fCutMinDCAToVertexXY = fCutMinDCAToVertexXY;
+ target.fCutMinDCAToVertexZ = fCutMinDCAToVertexZ;
+
+ target.fCutMaxDCAToVertexXYPtDep = fCutMaxDCAToVertexXYPtDep;
+ target.SetMaxDCAToVertexXYPtDep(fCutMaxDCAToVertexXYPtDep.Data());
+
+ target.fCutMaxDCAToVertexZPtDep = fCutMaxDCAToVertexZPtDep;
+ target.SetMaxDCAToVertexZPtDep(fCutMaxDCAToVertexZPtDep.Data());
+
+ target.fCutMinDCAToVertexXYPtDep = fCutMinDCAToVertexXYPtDep;
+ target.SetMinDCAToVertexXYPtDep(fCutMinDCAToVertexXYPtDep.Data());
+
+ target.fCutMinDCAToVertexZPtDep = fCutMinDCAToVertexZPtDep;
+ target.SetMinDCAToVertexZPtDep(fCutMinDCAToVertexZPtDep.Data());
target.fPMin = fPMin;
target.fPMax = fPMax;
if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone();
if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone();
+ if (fhRel1PtUncertainty[i]) target.fhRel1PtUncertainty[i] = (TH1F*) fhRel1PtUncertainty[i]->Clone();
+
if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone();
if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone();
+ if (fhDXYDZ[i]) target.fhDXYDZ[i] = (TH1F*) fhDXYDZ[i]->Clone();
if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone();
if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone();
TIterator* iter = list->MakeIterator();
TObject* obj;
-
// collection of measured and generated histograms
Int_t count = 0;
while ((obj = iter->Next())) {
if (!entry->fHistogramsOn)
continue;
-
+
for (Int_t i=0; i<2; i++) {
fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] );
fhC22[i] ->Add(entry->fhC22[i] );
fhC33[i] ->Add(entry->fhC33[i] );
fhC44[i] ->Add(entry->fhC44[i] );
- fhC55[i] ->Add(entry->fhC55[i] );
+ fhC55[i] ->Add(entry->fhC55[i] );
+
+ fhRel1PtUncertainty[i] ->Add(entry->fhRel1PtUncertainty[i]);
fhDXY[i] ->Add(entry->fhDXY[i] );
fhDZ[i] ->Add(entry->fhDZ[i] );
- fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] );
-
- fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] );
+ fhDXYDZ[i] ->Add(entry->fhDXYDZ[i] );
+ fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] );
+
+ fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] );
fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] );
- fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]);
+ fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]);
fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]);
fhPt[i] ->Add(entry->fhPt[i]);
return count+1;
}
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardTPCOnlyTrackCuts()
+{
+ // creates an AliESDtrackCuts object and fills it with standard (pre data-taking) values for TPC-only cuts
+
+ Printf("AliESDtrackCuts::GetStandardTPCOnlyTrackCuts: Creating track cuts for TPC-only.");
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+
+ esdTrackCuts->SetMinNClustersTPC(50);
+ esdTrackCuts->SetMaxChi2PerClusterTPC(4);
+ esdTrackCuts->SetAcceptKinkDaughters(kFALSE);
+
+ esdTrackCuts->SetMaxDCAToVertexZ(3.2);
+ esdTrackCuts->SetMaxDCAToVertexXY(2.4);
+ esdTrackCuts->SetDCAToVertex2D(kTRUE);
+
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardITSTPCTrackCuts2009(Bool_t selPrimaries)
+{
+ // creates an AliESDtrackCuts object and fills it with standard values for ITS-TPC cuts for pp 2009 data
+
+ Printf("AliESDtrackCuts::GetStandardITSTPCTrackCuts: Creating track cuts for ITS+TPC.");
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+
+ // TPC
+ esdTrackCuts->SetRequireTPCStandAlone(kTRUE); // to get chi2 and ncls of kTPCin
+ esdTrackCuts->SetMinNClustersTPC(70);
+ esdTrackCuts->SetMaxChi2PerClusterTPC(4);
+ esdTrackCuts->SetAcceptKinkDaughters(kFALSE);
+ esdTrackCuts->SetRequireTPCRefit(kTRUE);
+ // ITS
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ if(selPrimaries) {
+ // 7*(0.0050+0.0060/pt^0.9)
+ esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0350+0.0420/pt^0.9");
+ }
+ esdTrackCuts->SetMaxDCAToVertexZ(1.e6);
+ esdTrackCuts->SetDCAToVertex2D(kFALSE);
+ esdTrackCuts->SetRequireSigmaToVertex(kFALSE);
+ //esdTrackCuts->SetEtaRange(-0.8,+0.8);
+
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardITSTPCTrackCuts2010(Bool_t selPrimaries)
+{
+ // creates an AliESDtrackCuts object and fills it with standard values for ITS-TPC cuts for pp 2010 data
+
+ Printf("AliESDtrackCuts::GetStandardITSTPCTrackCuts: Creating track cuts for ITS+TPC.");
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+
+ // TPC
+ esdTrackCuts->SetMinNClustersTPC(70);
+ esdTrackCuts->SetMaxChi2PerClusterTPC(4);
+ esdTrackCuts->SetAcceptKinkDaughters(kFALSE);
+ esdTrackCuts->SetRequireTPCRefit(kTRUE);
+ // ITS
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ if(selPrimaries) {
+ // 7*(0.0026+0.0050/pt^1.01)
+ esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0182+0.0350/pt^1.01");
+ }
+ esdTrackCuts->SetMaxDCAToVertexZ(2);
+ esdTrackCuts->SetDCAToVertex2D(kFALSE);
+ esdTrackCuts->SetRequireSigmaToVertex(kFALSE);
+
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardITSPureSATrackCuts2009(Bool_t selPrimaries, Bool_t useForPid)
+{
+ // creates an AliESDtrackCuts object and fills it with standard values for ITS pure SA tracks
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+ esdTrackCuts->SetRequireITSPureStandAlone(kTRUE);
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetMinNClustersITS(4);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ esdTrackCuts->SetMaxChi2PerClusterITS(1.);
+
+ if(selPrimaries) {
+ // 7*(0.0085+0.0026/pt^1.55)
+ esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0595+0.0182/pt^1.55");
+ }
+ if(useForPid){
+ esdTrackCuts->SetRequireITSPid(kTRUE);
+ }
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardITSPureSATrackCuts2010(Bool_t selPrimaries, Bool_t useForPid)
+{
+ // creates an AliESDtrackCuts object and fills it with standard values for ITS pure SA tracks - pp 2010
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+ esdTrackCuts->SetRequireITSPureStandAlone(kTRUE);
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetMinNClustersITS(4);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ esdTrackCuts->SetMaxChi2PerClusterITS(2.5);
+
+ if(selPrimaries) {
+ // 7*(0.0033+0.0045/pt^1.3)
+ esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0231+0.0315/pt^1.3");
+ }
+ if(useForPid){
+ esdTrackCuts->SetRequireITSPid(kTRUE);
+ }
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardITSSATrackCuts2009(Bool_t selPrimaries, Bool_t useForPid)
+{
+ // creates an AliESDtrackCuts object and fills it with standard values for ITS pure SA tracks
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+ esdTrackCuts->SetRequireITSStandAlone(kTRUE);
+ esdTrackCuts->SetRequireITSPureStandAlone(kFALSE);
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetMinNClustersITS(4);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ esdTrackCuts->SetMaxChi2PerClusterITS(1.);
+
+ if(selPrimaries) {
+ // 7*(0.0085+0.0026/pt^1.55)
+ esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0595+0.0182/pt^1.55");
+ }
+ if(useForPid){
+ esdTrackCuts->SetRequireITSPid(kTRUE);
+ }
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+AliESDtrackCuts* AliESDtrackCuts::GetStandardITSSATrackCuts2010(Bool_t selPrimaries, Bool_t useForPid)
+{
+ // creates an AliESDtrackCuts object and fills it with standard values for ITS pure SA tracks --pp 2010
+
+ AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts;
+ esdTrackCuts->SetRequireITSStandAlone(kTRUE);
+ esdTrackCuts->SetRequireITSPureStandAlone(kFALSE);
+ esdTrackCuts->SetRequireITSRefit(kTRUE);
+ esdTrackCuts->SetMinNClustersITS(4);
+ esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD,
+ AliESDtrackCuts::kAny);
+ esdTrackCuts->SetMaxChi2PerClusterITS(2.5);
+
+ if(selPrimaries) {
+ // 7*(0.0033+0.0045/pt^1.3)
+ esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0231+0.0315/pt^1.3");
+ }
+ if(useForPid){
+ esdTrackCuts->SetRequireITSPid(kTRUE);
+ }
+ return esdTrackCuts;
+}
+
+//____________________________________________________________________
+Int_t AliESDtrackCuts::GetReferenceMultiplicity(AliESDEvent* esd, Bool_t tpcOnly)
+{
+ // Gets reference multiplicity following the standard cuts and a defined fiducial volume
+ // tpcOnly = kTRUE -> consider TPC-only tracks
+ // = kFALSE -> consider global tracks
+
+ if (!tpcOnly)
+ {
+ Printf("AliESDtrackCuts::GetReferenceMultiplicity: Not implemented for global tracks!");
+ return -1;
+ }
+
+ static AliESDtrackCuts* esdTrackCuts = 0;
+ if (!esdTrackCuts)
+ {
+ esdTrackCuts = GetStandardTPCOnlyTrackCuts();
+ esdTrackCuts->SetEtaRange(-0.8, 0.8);
+ esdTrackCuts->SetPtRange(0.15);
+ }
+
+ Int_t nTracks = esdTrackCuts->CountAcceptedTracks(esd);
+
+ return nTracks;
+}
//____________________________________________________________________
Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack)
esdTrack->GetImpactParameters(b,bCov);
if (bCov[0]<=0 || bCov[2]<=0) {
- AliDebug(1, "Estimated b resolution lower or equal zero!");
+ AliDebugClass(1, "Estimated b resolution lower or equal zero!");
bCov[0]=0; bCov[2]=0;
}
bRes[0] = TMath::Sqrt(bCov[0]);
// -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma)
// -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma)
//
- // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-x**2)/2)
+ // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-d**2)/2)
// Can this be expressed in a different way?
if (bRes[0] == 0 || bRes[1] ==0)
Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
- // stupid rounding problem screws up everything:
+ // work around precision problem
// if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :(
- if (TMath::Exp(-d * d / 2) < 1e-10)
+ // 1e-15 corresponds to nsigma ~ 7.7
+ if (TMath::Exp(-d * d / 2) < 1e-15)
return 1000;
- d = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2);
- return d;
+ Float_t nSigma = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2);
+ return nSigma;
}
void AliESDtrackCuts::EnableNeededBranches(TTree* tree)
}
//____________________________________________________________________
-Bool_t
-AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) {
+Bool_t AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack)
+{
//
// figure out if the tracks survives all the track cuts defined
//
// fTracks.fP //GetMass
// fTracks.fKinkIndexes
-
UInt_t status = esdTrack->GetStatus();
- // dummy array
- Int_t fIdxInt[200];
-
// getting quality parameters from the ESD track
- Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt);
- Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
-
+ Int_t nClustersITS = esdTrack->GetITSclusters(0);
+ Int_t nClustersTPC = -1;
+ if(fCutRequireTPCStandAlone) {
+ nClustersTPC = esdTrack->GetTPCNclsIter1();
+ }
+ else {
+ nClustersTPC = esdTrack->GetTPCclusters(0);
+ }
+
+ Int_t nClustersTPCShared = esdTrack->GetTPCnclsS();
+ Float_t fracClustersTPCShared = -1.;
+
Float_t chi2PerClusterITS = -1;
Float_t chi2PerClusterTPC = -1;
if (nClustersITS!=0)
chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS);
- if (nClustersTPC!=0)
- chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
+ if (nClustersTPC!=0) {
+ if(fCutRequireTPCStandAlone) {
+ chi2PerClusterTPC = esdTrack->GetTPCchi2Iter1()/Float_t(nClustersTPC);
+ } else {
+ chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
+ }
+ fracClustersTPCShared = Float_t(nClustersTPCShared)/Float_t(nClustersTPC);
+ }
+
Double_t extCov[15];
esdTrack->GetExternalCovariance(extCov);
// getting the track to vertex parameters
Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack);
+
+ Float_t b[2];
+ Float_t bCov[3];
+ esdTrack->GetImpactParameters(b,bCov);
+ if (bCov[0]<=0 || bCov[2]<=0) {
+ AliDebug(1, "Estimated b resolution lower or equal zero!");
+ bCov[0]=0; bCov[2]=0;
+ }
+
+
+ // set pt-dependent DCA cuts, if requested
+ SetPtDepDCACuts(esdTrack->Pt());
+
+ Float_t dcaToVertexXY = b[0];
+ Float_t dcaToVertexZ = b[1];
+
+ Float_t dcaToVertex = -1;
+
+ if (fCutDCAToVertex2D)
+ {
+ dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY/fCutMaxDCAToVertexXY/fCutMaxDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMaxDCAToVertexZ/fCutMaxDCAToVertexZ);
+ }
+ else
+ dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY + dcaToVertexZ*dcaToVertexZ);
+
// getting the kinematic variables of the track
// (assuming the mass is known)
Double_t p[3];
Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2));
Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2));
-
//y-eta related calculations
Float_t eta = -100.;
Float_t y = -100.;
eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2]));
if((energy != TMath::Abs(p[2]))&&(momentum != 0))
y = 0.5*TMath::Log((energy + p[2])/(energy - p[2]));
-
+
+ if (extCov[14] < 0)
+ {
+ Printf("AliESDtrackCuts::AcceptTrack: WARNING: GetSigma1Pt2() returns negative value for external covariance matrix element fC[14]: %f. Corrupted track information, track will not be accepted!", extCov[14]);
+ return kFALSE;
+ }
+ Float_t relUncertainty1Pt = TMath::Sqrt(extCov[14])*pt;
//########################################################################
// cut the track?
// track quality cuts
if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0)
cuts[0]=kTRUE;
- if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
+ if (fCutRequireTPCStandAlone && (status&AliESDtrack::kTPCin)==0)
cuts[1]=kTRUE;
- if (nClustersTPC<fCutMinNClusterTPC)
+ if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
cuts[2]=kTRUE;
- if (nClustersITS<fCutMinNClusterITS)
+ if (nClustersTPC<fCutMinNClusterTPC)
cuts[3]=kTRUE;
+ if (nClustersITS<fCutMinNClusterITS)
+ cuts[4]=kTRUE;
if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC)
- cuts[4]=kTRUE;
+ cuts[5]=kTRUE;
if (chi2PerClusterITS>fCutMaxChi2PerClusterITS)
- cuts[5]=kTRUE;
+ cuts[6]=kTRUE;
if (extCov[0] > fCutMaxC11)
- cuts[6]=kTRUE;
- if (extCov[2] > fCutMaxC22)
cuts[7]=kTRUE;
- if (extCov[5] > fCutMaxC33)
+ if (extCov[2] > fCutMaxC22)
cuts[8]=kTRUE;
- if (extCov[9] > fCutMaxC44)
+ if (extCov[5] > fCutMaxC33)
cuts[9]=kTRUE;
- if (extCov[14] > fCutMaxC55)
+ if (extCov[9] > fCutMaxC44)
cuts[10]=kTRUE;
+ if (extCov[14] > fCutMaxC55)
+ cuts[11]=kTRUE;
if (nSigmaToVertex > fCutNsigmaToVertex && fCutSigmaToVertexRequired)
- cuts[11] = kTRUE;
+ cuts[12] = kTRUE;
// if n sigma could not be calculated
if (nSigmaToVertex<0 && fCutSigmaToVertexRequired)
- cuts[12]=kTRUE;
- if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
cuts[13]=kTRUE;
+ if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
+ cuts[14]=kTRUE;
// track kinematics cut
if((momentum < fPMin) || (momentum > fPMax))
- cuts[14]=kTRUE;
+ cuts[15]=kTRUE;
if((pt < fPtMin) || (pt > fPtMax))
- cuts[15] = kTRUE;
- if((p[0] < fPxMin) || (p[0] > fPxMax))
cuts[16] = kTRUE;
- if((p[1] < fPyMin) || (p[1] > fPyMax))
+ if((p[0] < fPxMin) || (p[0] > fPxMax))
cuts[17] = kTRUE;
- if((p[2] < fPzMin) || (p[2] > fPzMax))
+ if((p[1] < fPyMin) || (p[1] > fPyMax))
cuts[18] = kTRUE;
- if((eta < fEtaMin) || (eta > fEtaMax))
+ if((p[2] < fPzMin) || (p[2] > fPzMax))
cuts[19] = kTRUE;
- if((y < fRapMin) || (y > fRapMax))
+ if((eta < fEtaMin) || (eta > fEtaMax))
cuts[20] = kTRUE;
+ if((y < fRapMin) || (y > fRapMax))
+ cuts[21] = kTRUE;
+ if (fCutDCAToVertex2D && dcaToVertex > 1)
+ cuts[22] = kTRUE;
+ if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) > fCutMaxDCAToVertexXY)
+ cuts[23] = kTRUE;
+ if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) > fCutMaxDCAToVertexZ)
+ cuts[24] = kTRUE;
+ if (fCutDCAToVertex2D && fCutMinDCAToVertexXY > 0 && fCutMinDCAToVertexZ > 0 && dcaToVertexXY*dcaToVertexXY/fCutMinDCAToVertexXY/fCutMinDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMinDCAToVertexZ/fCutMinDCAToVertexZ < 1)
+ cuts[25] = kTRUE;
+ if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) < fCutMinDCAToVertexXY)
+ cuts[26] = kTRUE;
+ if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) < fCutMinDCAToVertexZ)
+ cuts[27] = kTRUE;
+
+ for (Int_t i = 0; i < 3; i++)
+ cuts[28+i] = !CheckITSClusterRequirement(fCutClusterRequirementITS[i], esdTrack->HasPointOnITSLayer(i*2), esdTrack->HasPointOnITSLayer(i*2+1));
+
+ if(fCutRequireITSStandAlone || fCutRequireITSpureSA){
+ if ((status & AliESDtrack::kITSin) == 0 || (status & AliESDtrack::kTPCin)){
+ // TPC tracks
+ cuts[31] = kTRUE;
+ }else{
+ // ITS standalone tracks
+ if(fCutRequireITSStandAlone && !fCutRequireITSpureSA){
+ if(status & AliESDtrack::kITSpureSA) cuts[31] = kTRUE;
+ }else if(fCutRequireITSpureSA){
+ if(!(status & AliESDtrack::kITSpureSA)) cuts[31] = kTRUE;
+ }
+ }
+ }
+
+ if (relUncertainty1Pt > fCutMaxRel1PtUncertainty)
+ cuts[32] = kTRUE;
+
+ if (!fCutAcceptSharedTPCClusters && nClustersTPCShared!=0)
+ cuts[33] = kTRUE;
+
+ if (fracClustersTPCShared > fCutMaxFractionSharedTPCClusters)
+ cuts[34] = kTRUE;
+
+ if(fCutRequireITSPid){
+ UChar_t clumap=esdTrack->GetITSClusterMap();
+ Int_t nPointsForPid=0;
+ for(Int_t i=2; i<6; i++){
+ if(clumap&(1<<i)) ++nPointsForPid;
+ }
+ if(nPointsForPid<3) cuts[35] = kTRUE;
+ }
Bool_t cut=kFALSE;
for (Int_t i=0; i<kNCuts; i++)
- if (cuts[i]) cut = kTRUE;
-
+ if (cuts[i]) {cut = kTRUE;}
+
+
//########################################################################
// filling histograms
if (fHistogramsOn) {
for (Int_t i=0; i<kNCuts; i++) {
if (cuts[i])
- fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i])));
-
+ fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i])));
+
for (Int_t j=i; j<kNCuts; j++) {
- if (cuts[i] && cuts[j]) {
- Float_t xC = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i]));
- Float_t yC = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j]));
- fhCutCorrelation->Fill(xC, yC);
- }
+ if (cuts[i] && cuts[j]) {
+ Float_t xC = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i]));
+ Float_t yC = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j]));
+ fhCutCorrelation->Fill(xC, yC);
+ }
}
}
-
- fhNClustersITS[0]->Fill(nClustersITS);
- fhNClustersTPC[0]->Fill(nClustersTPC);
- fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
- fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
-
- fhC11[0]->Fill(extCov[0]);
- fhC22[0]->Fill(extCov[2]);
- fhC33[0]->Fill(extCov[5]);
- fhC44[0]->Fill(extCov[9]);
- fhC55[0]->Fill(extCov[14]);
-
- fhPt[0]->Fill(pt);
- fhEta[0]->Fill(eta);
-
- Float_t b[2];
- Float_t bRes[2];
- Float_t bCov[3];
- esdTrack->GetImpactParameters(b,bCov);
-
- if (bCov[0]<=0 || bCov[2]<=0) {
- AliDebug(1, "Estimated b resolution lower or equal zero!");
- bCov[0]=0; bCov[2]=0;
- }
- bRes[0] = TMath::Sqrt(bCov[0]);
- bRes[1] = TMath::Sqrt(bCov[2]);
-
- fhDZ[0]->Fill(b[1]);
- fhDXY[0]->Fill(b[0]);
- fhDXYvsDZ[0]->Fill(b[1],b[0]);
-
- if (bRes[0]!=0 && bRes[1]!=0) {
- fhDZNormalized[0]->Fill(b[1]/bRes[1]);
- fhDXYNormalized[0]->Fill(b[0]/bRes[0]);
- fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
- fhNSigmaToVertex[0]->Fill(nSigmaToVertex);
- }
}
- //########################################################################
- // cut the track!
- if (cut) return kFALSE;
+ // now we loop over the filling of the histograms twice: once "before" the cut, once "after"
+ // the code is not in a function due to too many local variables that would need to be passed
- //########################################################################
- // filling histograms after cut
- if (fHistogramsOn) {
- fhNClustersITS[1]->Fill(nClustersITS);
- fhNClustersTPC[1]->Fill(nClustersTPC);
- fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
- fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
-
- fhC11[1]->Fill(extCov[0]);
- fhC22[1]->Fill(extCov[2]);
- fhC33[1]->Fill(extCov[5]);
- fhC44[1]->Fill(extCov[9]);
- fhC55[1]->Fill(extCov[14]);
-
- fhPt[1]->Fill(pt);
- fhEta[1]->Fill(eta);
-
- Float_t b[2];
- Float_t bRes[2];
- Float_t bCov[3];
- esdTrack->GetImpactParameters(b,bCov);
- if (bCov[0]<=0 || bCov[2]<=0) {
- AliDebug(1, "Estimated b resolution lower or equal zero!");
- bCov[0]=0; bCov[2]=0;
- }
- bRes[0] = TMath::Sqrt(bCov[0]);
- bRes[1] = TMath::Sqrt(bCov[2]);
-
- fhDZ[1]->Fill(b[1]);
- fhDXY[1]->Fill(b[0]);
- fhDXYvsDZ[1]->Fill(b[1],b[0]);
+ for (Int_t id = 0; id < 2; id++)
+ {
+ // id = 0 --> before cut
+ // id = 1 --> after cut
- if (bRes[0]!=0 && bRes[1]!=0)
+ if (fHistogramsOn)
{
- fhDZNormalized[1]->Fill(b[1]/bRes[1]);
- fhDXYNormalized[1]->Fill(b[0]/bRes[0]);
- fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
- fhNSigmaToVertex[1]->Fill(nSigmaToVertex);
+ fhNClustersITS[id]->Fill(nClustersITS);
+ fhNClustersTPC[id]->Fill(nClustersTPC);
+ fhChi2PerClusterITS[id]->Fill(chi2PerClusterITS);
+ fhChi2PerClusterTPC[id]->Fill(chi2PerClusterTPC);
+
+ fhC11[id]->Fill(extCov[0]);
+ fhC22[id]->Fill(extCov[2]);
+ fhC33[id]->Fill(extCov[5]);
+ fhC44[id]->Fill(extCov[9]);
+ fhC55[id]->Fill(extCov[14]);
+
+ fhRel1PtUncertainty[id]->Fill(relUncertainty1Pt);
+
+ fhPt[id]->Fill(pt);
+ fhEta[id]->Fill(eta);
+
+ Float_t bRes[2];
+ bRes[0] = TMath::Sqrt(bCov[0]);
+ bRes[1] = TMath::Sqrt(bCov[2]);
+
+ fhDZ[id]->Fill(b[1]);
+ fhDXY[id]->Fill(b[0]);
+ fhDXYDZ[id]->Fill(dcaToVertex);
+ fhDXYvsDZ[id]->Fill(b[1],b[0]);
+
+ if (bRes[0]!=0 && bRes[1]!=0) {
+ fhDZNormalized[id]->Fill(b[1]/bRes[1]);
+ fhDXYNormalized[id]->Fill(b[0]/bRes[0]);
+ fhDXYvsDZNormalized[id]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
+ fhNSigmaToVertex[id]->Fill(nSigmaToVertex);
+ }
}
+
+ // cut the track
+ if (cut)
+ return kFALSE;
}
return kTRUE;
}
//____________________________________________________________________
-TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESD* esd)
+Bool_t AliESDtrackCuts::CheckITSClusterRequirement(ITSClusterRequirement req, Bool_t clusterL1, Bool_t clusterL2)
{
- //
- // returns an array of all tracks that pass the cuts
- //
-
- TObjArray* acceptedTracks = new TObjArray();
-
-
- // loop over esd tracks
- for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
- AliESDtrack* track = esd->GetTrack(iTrack);
- if (AcceptTrack(track))
- acceptedTracks->Add(track);
+ // checks if the cluster requirement is fullfilled (in this case: return kTRUE)
+
+ switch (req)
+ {
+ case kOff: return kTRUE;
+ case kNone: return !clusterL1 && !clusterL2;
+ case kAny: return clusterL1 || clusterL2;
+ case kFirst: return clusterL1;
+ case kOnlyFirst: return clusterL1 && !clusterL2;
+ case kSecond: return clusterL2;
+ case kOnlySecond: return clusterL2 && !clusterL1;
+ case kBoth: return clusterL1 && clusterL2;
}
- return acceptedTracks;
+
+ return kFALSE;
}
-
//____________________________________________________________________
-Int_t AliESDtrackCuts::CountAcceptedTracks(AliESD* esd)
+AliESDtrack* AliESDtrackCuts::GetTPCOnlyTrack(AliESDEvent* esd, Int_t iTrack)
{
+
+ // Utility function to
+ // create a TPC only track from the given esd track
+ //
+ // IMPORTANT: The track has to be deleted by the user
//
- // returns an the number of tracks that pass the cuts
+ // NB. most of the functionality to get a TPC only track from an ESD track is in AliESDtrack, where it should be
+ // there are only missing propagations here that are needed for old data
+ // this function will therefore become obsolete
//
+ // adapted from code provided by CKB
- Int_t count = 0;
+ if (!esd->GetPrimaryVertexTPC())
+ return 0; // No TPC vertex no TPC tracks
- // loop over esd tracks
- for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
- AliESDtrack* track = esd->GetTrack(iTrack);
+ if(!esd->GetPrimaryVertexTPC()->GetStatus())
+ return 0; // TPC Vertex is created by default in AliESDEvent, do not use in this case
- if (AcceptTrack(track))
- count++;
+ AliESDtrack* track = esd->GetTrack(iTrack);
+ if (!track)
+ return 0;
+
+ AliESDtrack *tpcTrack = new AliESDtrack();
+
+ // only true if we have a tpc track
+ if (!track->FillTPCOnlyTrack(*tpcTrack))
+ {
+ delete tpcTrack;
+ return 0;
}
- return count;
+ // propagate to Vertex
+ // not needed for normal reconstructed ESDs...
+ // Double_t pTPC[2],covTPC[3];
+ // tpcTrack->PropagateToDCA(esd->GetPrimaryVertexTPC(), esd->GetMagneticField(), 10000, pTPC, covTPC);
+
+ return tpcTrack;
}
//____________________________________________________________________
// loop over esd tracks
for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
- AliESDtrack* track = esd->GetTrack(iTrack);
-
if(bTPC){
if(!esd->GetPrimaryVertexTPC())return acceptedTracks; // No TPC vertex no TPC tracks
+ if(!esd->GetPrimaryVertexTPC()->GetStatus())return acceptedTracks; // No proper TPC vertex, only the default
- AliESDtrack *tpcTrack = new AliESDtrack();
- bool bAdd = false;
- Double_t pTPC[2],covTPC[3];
- // This should have been done during the reconstruction
- // fixed by Juri in r26675
- // but recalculate for older data CKB
- Float_t p[2],cov[3];
- track->GetImpactParametersTPC(p,cov);
- if(p[0]==0&&p[1]==0){
- track->RelateToVertexTPC(esd->GetPrimaryVertexTPC(),esd->GetMagneticField(),kVeryBig);
- }
- // BKC
-
- if(track->FillTPCOnlyTrack(*tpcTrack)){ // only true if we have a tpc track
- // propagate to Vertex
- // not needed for normal reconstructed ESDs...
- // if(tpcTrack->PropagateToDCA(esd->GetPrimaryVertexTPC(), esd->GetMagneticField(), 10000, pTPC, covTPC))
- if(AcceptTrack(tpcTrack)){
- acceptedTracks->Add(tpcTrack);
- bAdd = true;
- }
+ AliESDtrack *tpcTrack = GetTPCOnlyTrack(esd, iTrack);
+ if (!tpcTrack)
+ continue;
+
+ if (AcceptTrack(tpcTrack)) {
+ acceptedTracks->Add(tpcTrack);
}
- if(!bAdd)delete tpcTrack;
+ else
+ delete tpcTrack;
+ }
+ else
+ {
+ AliESDtrack* track = esd->GetTrack(iTrack);
+ if(AcceptTrack(track))
+ acceptedTracks->Add(track);
}
- else if(AcceptTrack(track)){// we cut by passing the original track
- // default case
- acceptedTracks->Add(track);
- }
}
if(bTPC)acceptedTracks->SetOwner(kTRUE);
return acceptedTracks;
fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]);
fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]);
fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]);
- }
+ }
fhCutStatistics ->SetLineColor(color);
fhCutCorrelation ->SetLineColor(color);
fhCutStatistics ->SetLineWidth(2);
fhCutCorrelation ->SetLineWidth(2);
- Char_t str[256];
for (Int_t i=0; i<2; i++) {
- if (i==0) sprintf(str," ");
- else sprintf(str,"_cut");
+ fhNClustersITS[i] = new TH1F("nClustersITS" ,"",8,-0.5,7.5);
+ fhNClustersTPC[i] = new TH1F("nClustersTPC" ,"",165,-0.5,164.5);
+ fhChi2PerClusterITS[i] = new TH1F("chi2PerClusterITS","",500,0,10);
+ fhChi2PerClusterTPC[i] = new TH1F("chi2PerClusterTPC","",500,0,10);
- fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str) ,"",8,-0.5,7.5);
- fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str) ,"",165,-0.5,164.5);
- fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10);
- fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10);
+ fhC11[i] = new TH1F("covMatrixDiagonal11","",2000,0,20);
+ fhC22[i] = new TH1F("covMatrixDiagonal22","",2000,0,20);
+ fhC33[i] = new TH1F("covMatrixDiagonal33","",1000,0,0.1);
+ fhC44[i] = new TH1F("covMatrixDiagonal44","",1000,0,0.1);
+ fhC55[i] = new TH1F("covMatrixDiagonal55","",1000,0,5);
- fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",2000,0,20);
- fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",2000,0,20);
- fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,1);
- fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
- fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
+ fhRel1PtUncertainty[i] = new TH1F("rel1PtUncertainty","",1000,0,5);
- fhDXY[i] = new TH1F(Form("dXY%s",str) ,"",500,-10,10);
- fhDZ[i] = new TH1F(Form("dZ%s",str) ,"",500,-10,10);
- fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10);
+ fhDXY[i] = new TH1F("dXY" ,"",500,-10,10);
+ fhDZ[i] = new TH1F("dZ" ,"",500,-10,10);
+ fhDXYDZ[i] = new TH1F("dXYDZ" ,"",500,0,10);
+ fhDXYvsDZ[i] = new TH2F("dXYvsDZ","",200,-10,10,200,-10,10);
- fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str) ,"",500,-10,10);
- fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str) ,"",500,-10,10);
- fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10);
+ fhDXYNormalized[i] = new TH1F("dXYNormalized" ,"",500,-10,10);
+ fhDZNormalized[i] = new TH1F("dZNormalized" ,"",500,-10,10);
+ fhDXYvsDZNormalized[i] = new TH2F("dXYvsDZNormalized","",200,-10,10,200,-10,10);
- fhNSigmaToVertex[i] = new TH1F(Form("nSigmaToVertex%s",str),"",500,0,50);
+ fhNSigmaToVertex[i] = new TH1F("nSigmaToVertex","",500,0,10);
- fhPt[i] = new TH1F(Form("pt%s",str) ,"p_{T} distribution;p_{T} (GeV/c)",500,0.0,100.0);
- fhEta[i] = new TH1F(Form("eta%s",str) ,"#eta distribution;#eta",40,-2.0,2.0);
+ fhPt[i] = new TH1F("pt" ,"p_{T} distribution;p_{T} (GeV/c)", 800, 0.0, 10.0);
+ fhEta[i] = new TH1F("eta" ,"#eta distribution;#eta",40,-2.0,2.0);
fhNClustersITS[i]->SetTitle("n ITS clusters");
fhNClustersTPC[i]->SetTitle("n TPC clusters");
fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]");
- fhDXY[i]->SetTitle("transverse impact parameter");
- fhDZ[i]->SetTitle("longitudinal impact parameter");
- fhDXYvsDZ[i]->SetTitle("longitudinal impact parameter");
- fhDXYvsDZ[i]->SetYTitle("transverse impact parameter");
+ fhRel1PtUncertainty[i]->SetTitle("rel. uncertainty of 1/p_{T}");
- fhDXYNormalized[i]->SetTitle("normalized trans impact par");
- fhDZNormalized[i]->SetTitle("normalized long impact par");
- fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par");
- fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par");
+ fhDXY[i]->SetXTitle("transverse impact parameter (cm)");
+ fhDZ[i]->SetXTitle("longitudinal impact parameter (cm)");
+ fhDXYDZ[i]->SetTitle("absolute impact parameter;sqrt(dXY**2 + dZ**2) (cm)");
+ fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter (cm)");
+ fhDXYvsDZ[i]->SetYTitle("transverse impact parameter (cm)");
+
+ fhDXYNormalized[i]->SetTitle("normalized trans impact par (n#sigma)");
+ fhDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)");
+ fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)");
+ fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par (n#sigma)");
fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex");
fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2);
fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2);
fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2);
+ fhRel1PtUncertainty[i]->SetLineColor(color); fhRel1PtUncertainty[i]->SetLineWidth(2);
+
fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2);
- fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2);
+ fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2);
+ fhDXYDZ[i]->SetLineColor(color); fhDXYDZ[i]->SetLineWidth(2);
fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2);
fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2);
// The number of sigmas to the vertex is per definition gaussian
ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50);
ffDTheoretical->SetParameter(0,1);
-
+
TH1::AddDirectory(oldStatus);
}
fhCutStatistics = dynamic_cast<TH1F*> (gDirectory->Get("cut_statistics"));
fhCutCorrelation = dynamic_cast<TH2F*> (gDirectory->Get("cut_correlation"));
- Char_t str[5];
for (Int_t i=0; i<2; i++) {
if (i==0)
{
gDirectory->cd("before_cuts");
- str[0] = 0;
}
else
- {
gDirectory->cd("after_cuts");
- sprintf(str,"_cut");
- }
- fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("nClustersITS%s",str) ));
- fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("nClustersTPC%s",str) ));
- fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("chi2PerClusterITS%s",str)));
- fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("chi2PerClusterTPC%s",str)));
+ fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersITS" ));
+ fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersTPC" ));
+ fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterITS"));
+ fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterTPC"));
+
+ fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal11"));
+ fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal22"));
+ fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal33"));
+ fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal44"));
+ fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal55"));
- fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal11%s",str)));
- fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal22%s",str)));
- fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal33%s",str)));
- fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal44%s",str)));
- fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal55%s",str)));
+ fhRel1PtUncertainty[i] = dynamic_cast<TH1F*> (gDirectory->Get("rel1PtUncertainty"));
- fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dXY%s",str) ));
- fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dZ%s",str) ));
- fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get(Form("dXYvsDZ%s",str)));
+ fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXY" ));
+ fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZ" ));
+ fhDXYDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYDZ"));
+ fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZ"));
- fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dXYNormalized%s",str) ));
- fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dZNormalized%s",str) ));
- fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get(Form("dXYvsDZNormalized%s",str)));
- fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("nSigmaToVertex%s",str)));
+ fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYNormalized" ));
+ fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZNormalized" ));
+ fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZNormalized"));
+ fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get("nSigmaToVertex"));
- fhPt[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("pt%s",str)));
- fhEta[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("eta%s",str)));
+ fhPt[i] = dynamic_cast<TH1F*> (gDirectory->Get("pt"));
+ fhEta[i] = dynamic_cast<TH1F*> (gDirectory->Get("eta"));
gDirectory->cd("../");
}
fhC44[i] ->Write();
fhC55[i] ->Write();
+ fhRel1PtUncertainty[i] ->Write();
+
fhDXY[i] ->Write();
fhDZ[i] ->Write();
+ fhDXYDZ[i] ->Write();
fhDXYvsDZ[i] ->Write();
fhDXYNormalized[i] ->Write();
gPad->SetLogy();
fhC55[0]->Draw();
+ canvas2->cd(6);
+ fhRel1PtUncertainty[0]->SetStats(kFALSE);
+ gPad->SetLogy();
+ fhRel1PtUncertainty[0]->Draw();
+
canvas2->SaveAs(Form("%s_%s.gif", GetName(), canvas2->GetName()));
TCanvas* canvas3 = new TCanvas(Form("%s_3", GetName()), "Track Quality Results3", 1200, 800);
fhChi2PerClusterTPC[1]->SetLineColor(2);
fhChi2PerClusterTPC[1]->DrawCopy("SAME");*/
}
+//--------------------------------------------------------------------------
+void AliESDtrackCuts::SetPtDepDCACuts(Double_t pt) {
+ //
+ // set the pt-dependent DCA cuts
+ //
+
+ if(f1CutMaxDCAToVertexXYPtDep) {
+ fCutMaxDCAToVertexXY=f1CutMaxDCAToVertexXYPtDep->Eval(pt);
+ }
+
+ if(f1CutMaxDCAToVertexZPtDep) {
+ fCutMaxDCAToVertexZ=f1CutMaxDCAToVertexZPtDep->Eval(pt);
+ }
+
+ if(f1CutMinDCAToVertexXYPtDep) {
+ fCutMinDCAToVertexXY=f1CutMinDCAToVertexXYPtDep->Eval(pt);
+ }
+ if(f1CutMinDCAToVertexZPtDep) {
+ fCutMinDCAToVertexZ=f1CutMinDCAToVertexZPtDep->Eval(pt);
+ }
+
+
+ return;
+}
+
+
+
+//--------------------------------------------------------------------------
+Bool_t AliESDtrackCuts::CheckPtDepDCA(TString dist,Bool_t print) const {
+ //
+ // Check the correctness of the string syntax
+ //
+ Bool_t retval=kTRUE;
+
+ if(!dist.Contains("pt")) {
+ if(print) printf("AliESDtrackCuts::CheckPtDepDCA(): string must contain \"pt\"\n");
+ retval= kFALSE;
+ }
+ return retval;
+}
+
+ void AliESDtrackCuts::SetMaxDCAToVertexXYPtDep(const char *dist){
+
+ if(f1CutMaxDCAToVertexXYPtDep){
+ delete f1CutMaxDCAToVertexXYPtDep;
+ // resetiing both
+ f1CutMaxDCAToVertexXYPtDep = 0;
+ fCutMaxDCAToVertexXYPtDep = "";
+ }
+ if(!CheckPtDepDCA(dist,kTRUE)){
+ return;
+ }
+ fCutMaxDCAToVertexXYPtDep = dist;
+ TString tmp(dist);
+ tmp.ReplaceAll("pt","x");
+ f1CutMaxDCAToVertexXYPtDep = new TFormula("f1CutMaxDCAToVertexXYPtDep",tmp.Data());
+
+}
+
+ void AliESDtrackCuts::SetMaxDCAToVertexZPtDep(const char *dist){
+
+
+ if(f1CutMaxDCAToVertexZPtDep){
+ delete f1CutMaxDCAToVertexZPtDep;
+ // resetiing both
+ f1CutMaxDCAToVertexZPtDep = 0;
+ fCutMaxDCAToVertexZPtDep = "";
+ }
+ if(!CheckPtDepDCA(dist,kTRUE))return;
+
+ fCutMaxDCAToVertexZPtDep = dist;
+ TString tmp(dist);
+ tmp.ReplaceAll("pt","x");
+ f1CutMaxDCAToVertexZPtDep = new TFormula("f1CutMaxDCAToVertexZPtDep",tmp.Data());
+
+
+}
+
+
+ void AliESDtrackCuts::SetMinDCAToVertexXYPtDep(const char *dist){
+
+
+ if(f1CutMinDCAToVertexXYPtDep){
+ delete f1CutMinDCAToVertexXYPtDep;
+ // resetiing both
+ f1CutMinDCAToVertexXYPtDep = 0;
+ fCutMinDCAToVertexXYPtDep = "";
+ }
+ if(!CheckPtDepDCA(dist,kTRUE))return;
+
+ fCutMinDCAToVertexXYPtDep = dist;
+ TString tmp(dist);
+ tmp.ReplaceAll("pt","x");
+ f1CutMinDCAToVertexXYPtDep = new TFormula("f1CutMinDCAToVertexXYPtDep",tmp.Data());
+
+}
+
+
+ void AliESDtrackCuts::SetMinDCAToVertexZPtDep(const char *dist){
+
+
+
+ if(f1CutMinDCAToVertexZPtDep){
+ delete f1CutMinDCAToVertexZPtDep;
+ // resetiing both
+ f1CutMinDCAToVertexZPtDep = 0;
+ fCutMinDCAToVertexZPtDep = "";
+ }
+ if(!CheckPtDepDCA(dist,kTRUE))return;
+ fCutMinDCAToVertexZPtDep = dist;
+ TString tmp(dist);
+ tmp.ReplaceAll("pt","x");
+ f1CutMinDCAToVertexZPtDep = new TFormula("f1CutMinDCAToVertexZPtDep",tmp.Data());
+}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff