/* $Id$ */
-//____________________________________________________________________
-//
-// AliITSMultReconstructor - find clusters in the pixels (theta and
-// phi) and tracklets.
+//_________________________________________________________________________
//
-// These can be used to extract charged particles multiplcicity from the ITS.
+// Implementation of the ITS-SPD trackleter class
//
-// A tracklet consist of two ITS clusters, one in the first pixel
-// layer and one in the second. The clusters are associates if the
-// differencies in Phi (azimuth) and Zeta (longitudinal) are inside
-// a fiducial volume. In case of multiple candidates it is selected the
-// candidate with minimum distance in Phi.
-// The parameter AssociationChoice allows to control if two clusters
-// in layer 2 can be associated to the same cluster in layer 1 or not.
-// (TRUE means double associations exluded; default = TRUE)
+// Retrieves clusters in the pixels (theta and phi) and tracklets.
+// These can be used to extract charged particle multiplcicity from the ITS.
//
-// Two methods return the number of traklets and the number of clusters
-// in the first SPD layer (GetNTracklets GetNSingleClusters)
+// A tracklet consist of two ITS clusters, one in the first pixel layer and
+// one in the second. The clusters are associates if the differencies in
+// Phi (azimuth) and Theta (polar) are within fiducial values.
+// In case of multiple candidates it is selected the candidate with minimum
+// distance.
//
-// -----------------------------------------------------------------
-//
-// NOTE: The cuts on phi and zeta depend on the interacting system (p-p
-// or Pb-Pb). Please, check the file AliITSMultReconstructor.h and be
-// sure that SetPhiWindow and SetZetaWindow are defined accordingly.
+// Two methods return the number of traklets and the number of unassociated
+// clusters (i.e. not used in any tracklet) in the first SPD layer
+// (GetNTracklets and GetNSingleClusters)
+//
+// The cuts on phi and theta depend on the interacting system (p-p or Pb-Pb)
+// and can be set via AliITSRecoParam class
+// (SetPhiWindow and SetThetaWindow)
//
-// Author : Tiziano Virgili
-//
-// Recent updates (D. Elia, INFN Bari):
-// - multiple association forbidden (fOnlyOneTrackletPerC2 = kTRUE)
+// Origin: Tiziano Virgili
+//
+// Current support and development:
+// Domenico Elia, Maria Nicassio (INFN Bari)
+// Domenico.Elia@ba.infn.it, Maria.Nicassio@ba.infn.it
+//
+// Most recent updates:
+// - multiple association forbidden (fOnlyOneTrackletPerC2 = kTRUE)
// - phi definition changed to ALICE convention (0,2*TMath::pi())
// - cluster coordinates taken with GetGlobalXYZ()
// - fGeometry removed
// - number of fired chips on the two layers
// - option to avoid duplicates in the overlaps (fRemoveClustersFromOverlaps)
// - options and fiducial cuts via AliITSRecoParam
-//
-//____________________________________________________________________
+// - move from DeltaZeta to DeltaTheta cut (M. Nicassio)
+// - update to the new algo (M. Nicassio, J.F.Grosse-Oetringhaus)
+//_________________________________________________________________________
#include <TClonesArray.h>
#include <TH1F.h>
#include <TH2F.h>
#include <TTree.h>
+#include "TArrayI.h"
#include "AliITSMultReconstructor.h"
#include "AliITSReconstructor.h"
#include "AliITSRecPoint.h"
#include "AliITSgeom.h"
#include "AliLog.h"
+//#include "TGeoGlobalMagField.h"
+//#include "AliMagF.h"
//____________________________________________________________________
ClassImp(AliITSMultReconstructor)
fOverlapFlagClustersLay2(0),
fTracklets(0),
fSClusters(0),
-fAssociationFlag(0),
fNClustersLay1(0),
fNClustersLay2(0),
fNTracklets(0),
fNSingleCluster(0),
-fOnlyOneTrackletPerC2(0),
fPhiWindow(0),
-fZetaWindow(0),
+fThetaWindow(0),
fRemoveClustersFromOverlaps(0),
fPhiOverlapCut(0),
fZetaOverlapCut(0),
fHistOn(0),
fhClustersDPhiAcc(0),
fhClustersDThetaAcc(0),
-fhClustersDZetaAcc(0),
fhClustersDPhiAll(0),
fhClustersDThetaAll(0),
-fhClustersDZetaAll(0),
fhDPhiVsDThetaAll(0),
fhDPhiVsDThetaAcc(0),
-fhDPhiVsDZetaAll(0),
-fhDPhiVsDZetaAcc(0),
fhetaTracklets(0),
fhphiTracklets(0),
fhetaClustersLay1(0),
SetHistOn();
if(AliITSReconstructor::GetRecoParam()) {
- SetOnlyOneTrackletPerC2(AliITSReconstructor::GetRecoParam()->GetTrackleterOnlyOneTrackletPerC2());
SetPhiWindow(AliITSReconstructor::GetRecoParam()->GetTrackleterPhiWindow());
- SetZetaWindow(AliITSReconstructor::GetRecoParam()->GetTrackleterZetaWindow());
+ SetThetaWindow(AliITSReconstructor::GetRecoParam()->GetTrackleterThetaWindow());
SetRemoveClustersFromOverlaps(AliITSReconstructor::GetRecoParam()->GetTrackleterRemoveClustersFromOverlaps());
SetPhiOverlapCut(AliITSReconstructor::GetRecoParam()->GetTrackleterPhiOverlapCut());
SetZetaOverlapCut(AliITSReconstructor::GetRecoParam()->GetTrackleterZetaOverlapCut());
} else {
- SetOnlyOneTrackletPerC2();
SetPhiWindow();
- SetZetaWindow();
+ SetThetaWindow();
SetRemoveClustersFromOverlaps();
SetPhiOverlapCut();
SetZetaOverlapCut();
fOverlapFlagClustersLay2 = new Bool_t[300000];
fTracklets = new Float_t*[300000];
fSClusters = new Float_t*[300000];
- fAssociationFlag = new Bool_t[300000];
for(Int_t i=0; i<300000; i++) {
fClustersLay1[i] = new Float_t[6];
fClustersLay2[i] = new Float_t[6];
- fTracklets[i] = new Float_t[5];
+ fTracklets[i] = new Float_t[6];
fSClusters[i] = new Float_t[2];
fOverlapFlagClustersLay1[i] = kFALSE;
fOverlapFlagClustersLay2[i] = kFALSE;
- fAssociationFlag[i] = kFALSE;
}
// definition of histograms
- fhClustersDPhiAcc = new TH1F("dphiacc", "dphi", 100,0.,0.1);
+ fhClustersDPhiAcc = new TH1F("dphiacc", "dphi", 100,-0.1,0.1);
fhClustersDPhiAcc->SetDirectory(0);
fhClustersDThetaAcc = new TH1F("dthetaacc","dtheta",100,-0.1,0.1);
fhClustersDThetaAcc->SetDirectory(0);
- fhClustersDZetaAcc = new TH1F("dzetaacc","dzeta",100,-1.,1.);
- fhClustersDZetaAcc->SetDirectory(0);
- fhDPhiVsDZetaAcc = new TH2F("dphiVsDzetaacc","",100,-1.,1.,100,0.,0.1);
- fhDPhiVsDZetaAcc->SetDirectory(0);
- fhDPhiVsDThetaAcc = new TH2F("dphiVsDthetaAcc","",100,-0.1,0.1,100,0.,0.1);
+ fhDPhiVsDThetaAcc = new TH2F("dphiVsDthetaAcc","",100,-0.1,0.1,100,-0.1,0.1);
fhDPhiVsDThetaAcc->SetDirectory(0);
fhClustersDPhiAll = new TH1F("dphiall", "dphi", 100,0.0,0.5);
fhClustersDPhiAll->SetDirectory(0);
- fhClustersDThetaAll = new TH1F("dthetaall","dtheta",100,-0.5,0.5);
+ fhClustersDThetaAll = new TH1F("dthetaall","dtheta",100,0.0,0.5);
fhClustersDThetaAll->SetDirectory(0);
- fhClustersDZetaAll = new TH1F("dzetaall","dzeta",100,-5.,5.);
- fhClustersDZetaAll->SetDirectory(0);
- fhDPhiVsDZetaAll = new TH2F("dphiVsDzetaall","",100,-5.,5.,100,0.,0.5);
- fhDPhiVsDZetaAll->SetDirectory(0);
- fhDPhiVsDThetaAll = new TH2F("dphiVsDthetaAll","",100,-0.5,0.5,100,0.,0.5);
+ fhDPhiVsDThetaAll = new TH2F("dphiVsDthetaAll","",100,0.,0.5,100,0.,0.5);
fhDPhiVsDThetaAll->SetDirectory(0);
fhetaTracklets = new TH1F("etaTracklets", "eta", 100,-2.,2.);
fOverlapFlagClustersLay2(mr.fOverlapFlagClustersLay2),
fTracklets(mr.fTracklets),
fSClusters(mr.fSClusters),
-fAssociationFlag(mr.fAssociationFlag),
fNClustersLay1(mr.fNClustersLay1),
fNClustersLay2(mr.fNClustersLay2),
fNTracklets(mr.fNTracklets),
fNSingleCluster(mr.fNSingleCluster),
-fOnlyOneTrackletPerC2(mr.fOnlyOneTrackletPerC2),
fPhiWindow(mr.fPhiWindow),
-fZetaWindow(mr.fZetaWindow),
+fThetaWindow(mr.fThetaWindow),
fRemoveClustersFromOverlaps(mr.fRemoveClustersFromOverlaps),
fPhiOverlapCut(mr.fPhiOverlapCut),
fZetaOverlapCut(mr.fZetaOverlapCut),
fHistOn(mr.fHistOn),
fhClustersDPhiAcc(mr.fhClustersDPhiAcc),
fhClustersDThetaAcc(mr.fhClustersDThetaAcc),
-fhClustersDZetaAcc(mr.fhClustersDZetaAcc),
fhClustersDPhiAll(mr.fhClustersDPhiAll),
fhClustersDThetaAll(mr.fhClustersDThetaAll),
-fhClustersDZetaAll(mr.fhClustersDZetaAll),
fhDPhiVsDThetaAll(mr.fhDPhiVsDThetaAll),
fhDPhiVsDThetaAcc(mr.fhDPhiVsDThetaAcc),
-fhDPhiVsDZetaAll(mr.fhDPhiVsDZetaAll),
-fhDPhiVsDZetaAcc(mr.fhDPhiVsDZetaAcc),
fhetaTracklets(mr.fhetaTracklets),
fhphiTracklets(mr.fhphiTracklets),
fhetaClustersLay1(mr.fhetaClustersLay1),
// delete histograms
delete fhClustersDPhiAcc;
delete fhClustersDThetaAcc;
- delete fhClustersDZetaAcc;
delete fhClustersDPhiAll;
delete fhClustersDThetaAll;
- delete fhClustersDZetaAll;
delete fhDPhiVsDThetaAll;
delete fhDPhiVsDThetaAcc;
- delete fhDPhiVsDZetaAll;
- delete fhDPhiVsDZetaAcc;
delete fhetaTracklets;
delete fhphiTracklets;
delete fhetaClustersLay1;
delete [] fOverlapFlagClustersLay2;
delete [] fTracklets;
delete [] fSClusters;
-
- delete [] fAssociationFlag;
}
//____________________________________________________________________
-void
-AliITSMultReconstructor::Reconstruct(TTree* clusterTree, Float_t* vtx, Float_t* /* vtxRes*/) {
+void AliITSMultReconstructor::Reconstruct(TTree* clusterTree, Float_t* vtx, Float_t* /* vtxRes*/) {
//
// - calls LoadClusterArray that finds the position of the clusters
// (in global coord)
// - convert the cluster coordinates to theta, phi (seen from the
- // interaction vertex). The third coordinate is used for ....
+ // interaction vertex).
// - makes an array of tracklets
//
// After this method has been called, the clusters of the two layers
fNClustersLay1 = 0;
fNClustersLay2 = 0;
fNTracklets = 0;
- fNSingleCluster = 0;
+ fNSingleCluster = 0;
+
// loading the clusters
LoadClusterArrays(clusterTree);
+ const Double_t pi = TMath::Pi();
+ Int_t* partners = new Int_t[fNClustersLay2];
+ Float_t* minDists = new Float_t[fNClustersLay2];
+ Int_t* associatedLay1 = new Int_t[fNClustersLay1];
+ TArrayI** blacklist = new TArrayI*[fNClustersLay1];
+
+ for (Int_t i=0; i<fNClustersLay2; i++) {
+ partners[i] = -1;
+ minDists[i] = 2;
+ }
+ for (Int_t i=0; i<fNClustersLay1; i++)
+ associatedLay1[i] = 0;
+ for (Int_t i=0; i<fNClustersLay1; i++)
+ blacklist[i] = 0;
+
// find the tracklets
AliDebug(1,"Looking for tracklets... ");
fClustersLay1[iC1][0] = TMath::ACos(z/r); // Store Theta
fClustersLay1[iC1][1] = TMath::Pi() + TMath::ATan2(-y,-x); // Store Phi
- fClustersLay1[iC1][2] = z/r; // Store scaled z
+
if (fHistOn) {
Float_t eta=fClustersLay1[iC1][0];
eta= TMath::Tan(eta/2.);
fClustersLay2[iC2][0] = TMath::ACos(z/r); // Store Theta
fClustersLay2[iC2][1] = TMath::Pi() + TMath::ATan2(-y,-x); // Store Phi
- fClustersLay2[iC2][2] = z; // Store z
-
- // this only needs to be initialized for the fNClustersLay2 first associations
- fAssociationFlag[iC2] = kFALSE;
}
//###########################################################
- // Loop on layer 1
- for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) {
+ Int_t found = 1;
+ while (found > 0) {
+ //Printf("Iteration...");
+ found = 0;
+
+ // Step1: find all tracklets allowing double assocation
+ // Loop on layer 1
+ for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) {
+
+ // already used or in the overlap ?
+ if (associatedLay1[iC1] != 0 || fOverlapFlagClustersLay1[iC1]) continue;
- // reset of variables for multiple candidates
- Int_t iC2WithBestDist = 0; // reset
- Float_t distmin = 100.; // just to put a huge number!
- Float_t dPhimin = 0.; // Used for histograms only!
- Float_t dThetamin = 0.; // Used for histograms only!
- Float_t dZetamin = 0.; // Used for histograms only!
+ found++;
+
+ // reset of variables for multiple candidates
+ Int_t iC2WithBestDist = -1; // reset
+ Double_t minDist = 2; // reset
- if (fOverlapFlagClustersLay1[iC1]) continue;
-
- // Loop on layer 2
- for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) {
- if (fOverlapFlagClustersLay2[iC2]) continue;
- // The following excludes double associations
- if (!fAssociationFlag[iC2]) {
-
+ // Loop on layer 2
+ for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) {
+
+ // in the overlap ?
+ if (fOverlapFlagClustersLay2[iC2]) continue;
+
+ if (blacklist[iC1]) {
+ Bool_t blacklisted = kFALSE;
+ for (Int_t i=0; i<blacklist[iC1]->GetSize(); i++) {
+ if (blacklist[iC1]->At(i) == iC2) {
+ blacklisted = kTRUE;
+ break;
+ }
+ }
+ if (blacklisted) continue;
+ }
+
// find the difference in angles
- Float_t dTheta = fClustersLay2[iC2][0] - fClustersLay1[iC1][0];
- Float_t dPhi = TMath::Abs(fClustersLay2[iC2][1] - fClustersLay1[iC1][1]);
+ Double_t dTheta = TMath::Abs(fClustersLay2[iC2][0] - fClustersLay1[iC1][0]);
+ Double_t dPhi = TMath::Abs(fClustersLay2[iC2][1] - fClustersLay1[iC1][1]);
// take into account boundary condition
- if (dPhi>TMath::Pi()) dPhi=2.*TMath::Pi()-dPhi;
+ if (dPhi>pi) dPhi=2.*pi-dPhi;
- // find the difference in z (between linear projection from layer 1
- // and the actual point: Dzeta= z1/r1*r2 -z2)
- Float_t r2 = fClustersLay2[iC2][2]/TMath::Cos(fClustersLay2[iC2][0]);
- Float_t dZeta = fClustersLay1[iC1][2]*r2 - fClustersLay2[iC2][2];
+ // Account for B-field shifting dphi ? ...
+ // Double_t pos[3]={0.,0.,0.};
+ // Double_t B[3]={0.,0.,0.};
+ // TGeoGlobalMagField::Instance()->Field(pos,B);
+ // if (B[2]=!0) dPhi-=0.005; // field dependent
if (fHistOn) {
- fhClustersDPhiAll->Fill(dPhi);
+ fhClustersDPhiAll->Fill(dPhi);
fhClustersDThetaAll->Fill(dTheta);
- fhClustersDZetaAll->Fill(dZeta);
fhDPhiVsDThetaAll->Fill(dTheta, dPhi);
- fhDPhiVsDZetaAll->Fill(dZeta, dPhi);
}
- // make "elliptical" cut in Phi and Zeta!
- Float_t d = TMath::Sqrt(TMath::Power(dPhi/fPhiWindow,2) + TMath::Power(dZeta/fZetaWindow,2));
-
- if (d>1) continue;
-
- //look for the minimum distance: the minimum is in iC2WithBestDist
- if (TMath::Sqrt(dZeta*dZeta+(r2*dPhi*r2*dPhi)) < distmin ) {
- distmin=TMath::Sqrt(dZeta*dZeta + (r2*dPhi*r2*dPhi));
- dPhimin = dPhi;
- dThetamin = dTheta;
- dZetamin = dZeta;
+ // make "elliptical" cut in Phi and Theta!
+ Float_t d = TMath::Power(dPhi/fPhiWindow,2) + TMath::Power(dTheta/fThetaWindow,2);
+
+ // look for the minimum distance: the minimum is in iC2WithBestDist
+ if (d<1 && d<minDist ) {
+ minDist=d;
iC2WithBestDist = iC2;
}
- }
- } // end of loop over clusters in layer 2
+ } // end of loop over clusters in layer 2
- if (distmin<100) { // This means that a cluster in layer 2 was found that mathes with iC1
-
- if (fHistOn) {
- fhClustersDPhiAcc->Fill(dPhimin);
- fhClustersDThetaAcc->Fill(dThetamin);
- fhClustersDZetaAcc->Fill(dZetamin);
- fhDPhiVsDThetaAcc->Fill(dThetamin, dPhimin);
- fhDPhiVsDZetaAcc->Fill(dZetamin, dPhimin);
- }
-
- if (fOnlyOneTrackletPerC2) fAssociationFlag[iC2WithBestDist] = kTRUE; // flag the association
-
- // store the tracklet
-
- // use the theta from the clusters in the first layer
- fTracklets[fNTracklets][0] = fClustersLay1[iC1][0];
- // use the phi from the clusters in the first layer
- fTracklets[fNTracklets][1] = fClustersLay1[iC1][1];
- // store the difference between phi1 and phi2
- fTracklets[fNTracklets][2] = fClustersLay1[iC1][1] - fClustersLay2[iC2WithBestDist][1];
-
- // define dphi in the range [0,pi] with proper sign (track charge correlated)
- if (fTracklets[fNTracklets][2] > TMath::Pi())
- fTracklets[fNTracklets][2] = fTracklets[fNTracklets][2]-2.*TMath::Pi();
- if (fTracklets[fNTracklets][2] < -TMath::Pi())
- fTracklets[fNTracklets][2] = fTracklets[fNTracklets][2]+2.*TMath::Pi();
-
- // find label
- // if equal label in both clusters found this label is assigned
- // if no equal label can be found the first labels of the L1 AND L2 cluster are assigned
- Int_t label1 = 0;
- Int_t label2 = 0;
- while (label2 < 3)
- {
- if ((Int_t) fClustersLay1[iC1][3+label1] != -2 && (Int_t) fClustersLay1[iC1][3+label1] == (Int_t) fClustersLay2[iC2WithBestDist][3+label2])
- break;
- label1++;
- if (label1 == 3)
- {
- label1 = 0;
- label2++;
- }
- }
+ if (minDist<1) { // This means that a cluster in layer 2 was found that matches with iC1
+
+ if (minDists[iC2WithBestDist] > minDist) {
+ Int_t oldPartner = partners[iC2WithBestDist];
+ partners[iC2WithBestDist] = iC1;
+ minDists[iC2WithBestDist] = minDist;
+
+ // mark as assigned
+ associatedLay1[iC1] = 1;
+
+ if (oldPartner != -1) {
+ // redo partner search for cluster in L0 (oldPartner), putting this one (best1) on its blacklist
+ if (blacklist[oldPartner] == 0) {
+ blacklist[oldPartner] = new TArrayI(1);
+ } else blacklist[oldPartner]->Set(blacklist[oldPartner]->GetSize()+1);
+
+ blacklist[oldPartner]->AddAt(iC2WithBestDist, blacklist[oldPartner]->GetSize()-1);
+
+ // mark as free
+ associatedLay1[iC1] = 0;
+ }
+ } else {
+ // try again to find a cluster without considering iC2WithBestDist
+ if (blacklist[iC1] == 0) {
+ blacklist[iC1] = new TArrayI(1);
+ }
+ else blacklist[iC1]->Set(blacklist[iC1]->GetSize()+1);
+
+ blacklist[iC1]->AddAt(iC2WithBestDist, blacklist[iC1]->GetSize()-1);
+ }
- if (label2 < 3)
- {
- AliDebug(AliLog::kDebug, Form("Found label %d == %d for tracklet candidate %d\n", (Int_t) fClustersLay1[iC1][3+label1], (Int_t) fClustersLay2[iC2WithBestDist][3+label2], fNTracklets));
- fTracklets[fNTracklets][3] = fClustersLay1[iC1][3+label1];
- fTracklets[fNTracklets][4] = fClustersLay2[iC2WithBestDist][3+label2];
- }
- else
- {
- AliDebug(AliLog::kDebug, Form("Did not find label %d %d %d %d %d %d for tracklet candidate %d\n", (Int_t) fClustersLay1[iC1][3], (Int_t) fClustersLay1[iC1][4], (Int_t) fClustersLay1[iC1][5], (Int_t) fClustersLay2[iC2WithBestDist][3], (Int_t) fClustersLay2[iC2WithBestDist][4], (Int_t) fClustersLay2[iC2WithBestDist][5], fNTracklets));
- fTracklets[fNTracklets][3] = fClustersLay1[iC1][3];
- fTracklets[fNTracklets][4] = fClustersLay2[iC2WithBestDist][3];
- }
+ } else // cluster has no partner; remove
+ associatedLay1[iC1] = 2;
+ } // end of loop over clusters in layer 1
+ }
+
+ // Step2: store tracklets; remove used clusters
+ for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) {
- if (fHistOn) {
- Float_t eta=fTracklets[fNTracklets][0];
- eta= TMath::Tan(eta/2.);
- eta=-TMath::Log(eta);
- fhetaTracklets->Fill(eta);
- fhphiTracklets->Fill(fTracklets[fNTracklets][1]);
- }
-
- AliDebug(1,Form(" Adding tracklet candidate %d ", fNTracklets));
- AliDebug(1,Form(" Cl. %d of Layer 1 and %d of Layer 2", iC1,
- iC2WithBestDist));
- fNTracklets++;
+ if (partners[iC2] == -1) continue;
- if (fRemoveClustersFromOverlaps) FlagClustersInOverlapRegions (iC1,iC2WithBestDist);
+ //Printf("Tracklet7: %d %d %f %d %d %f %f %f", partners[iC2], iC2, minDists[iC2], (Int_t) fClustersLay1[partners[iC2]][3], (Int_t) fClustersLay2[iC2][3], fClustersLay1[partners[iC2]][0], fClustersLay2[iC2][0], fClustersLay1[partners[iC2]][1]);
+
+
+ if (fOverlapFlagClustersLay1[partners[iC2]] || fOverlapFlagClustersLay2[iC2]) continue;
+ if (fRemoveClustersFromOverlaps) FlagClustersInOverlapRegions (partners[iC2],iC2);
+
+ // use the theta from the clusters in the first layer
+ fTracklets[fNTracklets][0] = fClustersLay1[partners[iC2]][0];
+ // use the phi from the clusters in the first layer
+ fTracklets[fNTracklets][1] = fClustersLay1[partners[iC2]][1];
+ // store the difference between phi1 and phi2
+ fTracklets[fNTracklets][2] = fClustersLay1[partners[iC2]][1] - fClustersLay2[iC2][1];
+
+ // define dphi in the range [0,pi] with proper sign (track charge correlated)
+ if (fTracklets[fNTracklets][2] > TMath::Pi())
+ fTracklets[fNTracklets][2] = fTracklets[fNTracklets][2]-2.*TMath::Pi();
+ if (fTracklets[fNTracklets][2] < -TMath::Pi())
+ fTracklets[fNTracklets][2] = fTracklets[fNTracklets][2]+2.*TMath::Pi();
+ // store the difference between theta1 and theta2
+ fTracklets[fNTracklets][3] = fClustersLay1[partners[iC2]][0] - fClustersLay2[iC2][0];
+
+ if (fHistOn) {
+ fhClustersDPhiAcc->Fill(fTracklets[fNTracklets][2]);
+ fhClustersDThetaAcc->Fill(fTracklets[fNTracklets][3]);
+ fhDPhiVsDThetaAcc->Fill(fTracklets[fNTracklets][3],fTracklets[fNTracklets][2]);
}
- // Delete the following else if you do not want to save Clusters!
+ // find label
+ // if equal label in both clusters found this label is assigned
+ // if no equal label can be found the first labels of the L1 AND L2 cluster are assigned
+ Int_t label1 = 0;
+ Int_t label2 = 0;
+ while (label2 < 3) {
+ if ((Int_t) fClustersLay1[partners[iC2]][3+label1] != -2 && (Int_t) fClustersLay1[partners[iC2]][3+label1] == (Int_t) fClustersLay2[iC2][3+label2])
+ break;
+ label1++;
+ if (label1 == 3) {
+ label1 = 0;
+ label2++;
+ }
+ }
+ if (label2 < 3) {
+ AliDebug(AliLog::kDebug, Form("Found label %d == %d for tracklet candidate %d\n", (Int_t) fClustersLay1[partners[iC2]][3+label1], (Int_t) fClustersLay2[iC2][3+label2], fNTracklets));
+ fTracklets[fNTracklets][4] = fClustersLay1[partners[iC2]][3+label1];
+ fTracklets[fNTracklets][5] = fClustersLay2[iC2][3+label2];
+ } else {
+ AliDebug(AliLog::kDebug, Form("Did not find label %d %d %d %d %d %d for tracklet candidate %d\n", (Int_t) fClustersLay1[partners[iC2]][3], (Int_t) fClustersLay1[partners[iC2]][4], (Int_t) fClustersLay1[partners[iC2]][5], (Int_t) fClustersLay2[iC2][3], (Int_t) fClustersLay2[iC2][4], (Int_t) fClustersLay2[iC2][5], fNTracklets));
+ fTracklets[fNTracklets][4] = fClustersLay1[partners[iC2]][3];
+ fTracklets[fNTracklets][5] = fClustersLay2[iC2][3];
+ }
+
+ if (fHistOn) {
+ Float_t eta=fTracklets[fNTracklets][0];
+ eta= TMath::Tan(eta/2.);
+ eta=-TMath::Log(eta);
+ fhetaTracklets->Fill(eta);
+ fhphiTracklets->Fill(fTracklets[fNTracklets][1]);
+ }
- else { // This means that the cluster has not been associated
+ AliDebug(1,Form(" Adding tracklet candidate %d ", fNTracklets));
+ AliDebug(1,Form(" Cl. %d of Layer 1 and %d of Layer 2", partners[iC2], iC2));
+ fNTracklets++;
- // store the cluster
-
+ associatedLay1[partners[iC2]] = 1;
+ }
+
+ // Delete the following else if you do not want to save Clusters!
+ // store the cluster
+ for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) {
+ if (associatedLay1[iC1]==2||associatedLay1[iC1]==0) {
fSClusters[fNSingleCluster][0] = fClustersLay1[iC1][0];
fSClusters[fNSingleCluster][1] = fClustersLay1[iC1][1];
AliDebug(1,Form(" Adding a single cluster %d (cluster %d of layer 1)",
- fNSingleCluster, iC1));
+ fNSingleCluster, iC1));
fNSingleCluster++;
}
+ }
+
+ delete[] partners;
+ delete[] minDists;
+
+ for (Int_t i=0; i<fNClustersLay1; i++)
+ if (blacklist[i])
+ delete blacklist[i];
+ delete[] blacklist;
+
- } // end of loop over clusters in layer 1
-
AliDebug(1,Form("%d tracklets found", fNTracklets));
}
fhClustersDPhiAll->Write();
fhClustersDThetaAll->Write();
- fhClustersDZetaAll->Write();
fhDPhiVsDThetaAll->Write();
- fhDPhiVsDZetaAll->Write();
fhClustersDPhiAcc->Write();
fhClustersDThetaAcc->Write();
- fhClustersDZetaAcc->Write();
fhDPhiVsDThetaAcc->Write();
- fhDPhiVsDZetaAcc->Write();
fhetaTracklets->Write();
fhphiTracklets->Write();