/************************************************************************** * Copyright(c) 2007-2009, ALICE Experiment at CERN, All rights reserved. * * * * Author: The ALICE Off-line Project. * * Contributors are mentioned in the code where appropriate. * * * * Permission to use, copy, modify and distribute this software and its * * documentation strictly for non-commercial purposes is hereby granted * * without fee, provided that the above copyright notice appears in all * * copies and that both the copyright notice and this permission notice * * appear in the supporting documentation. The authors make no claims * * about the suitability of this software for any purpose. It is * * provided "as is" without express or implied warranty. * **************************************************************************/ //____________________________________________________________________ // // AliITSTrackleterSPDEff - find SPD chips efficiencies by using tracklets. // // This class has been developed from AliITSMultReconstructor (see // it for more details). It is the class for the Trackleter used to estimate // SPD plane efficiency. // The trackleter prediction is built using the vertex and 1 cluster. // // // Author : Giuseppe Eugenio Bruno, based on the skeleton of Reconstruct method provided by Tiziano Virgili // email: giuseppe.bruno@ba.infn.it // //____________________________________________________________________ /* $Id$ */ #include <TFile.h> #include <TTree.h> #include <TParticle.h> #include <TParticlePDG.h> #include <TSystem.h> #include <Riostream.h> #include <TClonesArray.h> #include "AliTracker.h" #include "AliITSTrackleterSPDEff.h" #include "AliITSgeomTGeo.h" #include "AliLog.h" #include "AliITSPlaneEffSPD.h" #include "AliStack.h" #include "AliTrackReference.h" #include "AliRunLoader.h" #include "AliITSReconstructor.h" #include "AliITSRecPoint.h" #include "AliESDEvent.h" #include "AliESDVertex.h" //____________________________________________________________________ using std::ofstream; using std::ios; using std::ifstream; ClassImp(AliITSTrackleterSPDEff) //____________________________________________________________________ AliITSTrackleterSPDEff::AliITSTrackleterSPDEff(): AliTracker(), // fClustersLay1(0), fClustersLay2(0), fTracklets(0), fAssociationFlag(0), fNClustersLay1(0), fNClustersLay2(0), fNTracklets(0), fOnlyOneTrackletPerC2(0), fPhiWindowL2(0), fZetaWindowL2(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), fhphiClustersLay1(0), // fAssociationFlag1(0), fChipPredOnLay2(0), fChipPredOnLay1(0), fNTracklets1(0), fPhiWindowL1(0), fZetaWindowL1(0), fOnlyOneTrackletPerC1(0), fUpdateOncePerEventPlaneEff(0), fMinContVtx(0), fChipUpdatedInEvent(0), fPlaneEffSPD(0), fPlaneEffBkg(0), fReflectClusterAroundZAxisForLayer0(kFALSE), fReflectClusterAroundZAxisForLayer1(kFALSE), fLightBkgStudyInParallel(kFALSE), fMC(0), fUseOnlyPrimaryForPred(0), fUseOnlySecondaryForPred(0), fUseOnlySameParticle(0), fUseOnlyDifferentParticle(0), fUseOnlyStableParticle(1), fPredictionPrimary(0), fPredictionSecondary(0), fClusterPrimary(0), fClusterSecondary(0), fSuccessPP(0), fSuccessTT(0), fSuccessS(0), fSuccessP(0), fFailureS(0), fFailureP(0), fRecons(0), fNonRecons(0), fhClustersDPhiInterpAcc(0), fhClustersDThetaInterpAcc(0), fhClustersDZetaInterpAcc(0), fhClustersDPhiInterpAll(0), fhClustersDThetaInterpAll(0), fhClustersDZetaInterpAll(0), fhDPhiVsDThetaInterpAll(0), fhDPhiVsDThetaInterpAcc(0), fhDPhiVsDZetaInterpAll(0), fhDPhiVsDZetaInterpAcc(0), fhetaClustersLay2(0), fhphiClustersLay2(0), fhClustersInChip(0), fhClustersInModuleLay1(0), fhClustersInModuleLay2(0) { // default constructor // from AliITSMultReconstructor Init(); } //______________________________________________________________________ void AliITSTrackleterSPDEff::Init() { SetPhiWindowL2(); SetZetaWindowL2(); SetOnlyOneTrackletPerC2(); fClustersLay1 = new Float_t*[300000]; fClustersLay2 = new Float_t*[300000]; fTracklets = new Float_t*[300000]; fAssociationFlag = new Bool_t[300000]; // SetPhiWindowL1(); SetZetaWindowL1(); SetOnlyOneTrackletPerC1(); fAssociationFlag1 = new Bool_t[300000]; fChipPredOnLay2 = new UInt_t[300000]; fChipPredOnLay1 = new UInt_t[300000]; fChipUpdatedInEvent = new Bool_t[1200]; for(Int_t i=0; i<300000; i++) { // from AliITSMultReconstructor fClustersLay1[i] = new Float_t[6]; fClustersLay2[i] = new Float_t[6]; fTracklets[i] = new Float_t[5]; fAssociationFlag[i] = kFALSE; // fAssociationFlag1[i] = kFALSE; } for(Int_t i=0;i<1200; i++) fChipUpdatedInEvent[i] = kFALSE; if (GetHistOn()) BookHistos(); fPlaneEffSPD = new AliITSPlaneEffSPD(); SetLightBkgStudyInParallel(); } //______________________________________________________________________ AliITSTrackleterSPDEff::AliITSTrackleterSPDEff(const AliITSTrackleterSPDEff &mr) : AliTracker(mr), // from AliITSMultReconstructor fClustersLay1(mr.fClustersLay1), fClustersLay2(mr.fClustersLay2), fTracklets(mr.fTracklets), fAssociationFlag(mr.fAssociationFlag), fNClustersLay1(mr.fNClustersLay1), fNClustersLay2(mr.fNClustersLay2), fNTracklets(mr.fNTracklets), fOnlyOneTrackletPerC2(mr.fOnlyOneTrackletPerC2), fPhiWindowL2(mr.fPhiWindowL2), fZetaWindowL2(mr.fZetaWindowL2), 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), fhphiClustersLay1(mr.fhphiClustersLay1), // fAssociationFlag1(mr.fAssociationFlag1), fChipPredOnLay2(mr.fChipPredOnLay2), fChipPredOnLay1(mr.fChipPredOnLay1), fNTracklets1(mr.fNTracklets1), fPhiWindowL1(mr.fPhiWindowL1), fZetaWindowL1(mr.fZetaWindowL1), fOnlyOneTrackletPerC1(mr.fOnlyOneTrackletPerC1), fUpdateOncePerEventPlaneEff(mr.fUpdateOncePerEventPlaneEff), fMinContVtx(mr.fMinContVtx), fChipUpdatedInEvent(mr.fChipUpdatedInEvent), fPlaneEffSPD(mr.fPlaneEffSPD), fPlaneEffBkg(mr.fPlaneEffBkg), fReflectClusterAroundZAxisForLayer0(mr.fReflectClusterAroundZAxisForLayer0), fReflectClusterAroundZAxisForLayer1(mr.fReflectClusterAroundZAxisForLayer1), fLightBkgStudyInParallel(mr.fLightBkgStudyInParallel), fMC(mr.fMC), fUseOnlyPrimaryForPred(mr.fUseOnlyPrimaryForPred), fUseOnlySecondaryForPred(mr.fUseOnlySecondaryForPred), fUseOnlySameParticle(mr.fUseOnlySameParticle), fUseOnlyDifferentParticle(mr.fUseOnlyDifferentParticle), fUseOnlyStableParticle(mr.fUseOnlyStableParticle), fPredictionPrimary(mr.fPredictionPrimary), fPredictionSecondary(mr.fPredictionSecondary), fClusterPrimary(mr.fClusterPrimary), fClusterSecondary(mr.fClusterSecondary), fSuccessPP(mr.fSuccessPP), fSuccessTT(mr.fSuccessTT), fSuccessS(mr.fSuccessS), fSuccessP(mr.fSuccessP), fFailureS(mr.fFailureS), fFailureP(mr.fFailureP), fRecons(mr.fRecons), fNonRecons(mr.fNonRecons), fhClustersDPhiInterpAcc(mr.fhClustersDPhiInterpAcc), fhClustersDThetaInterpAcc(mr.fhClustersDThetaInterpAcc), fhClustersDZetaInterpAcc(mr.fhClustersDZetaInterpAcc), fhClustersDPhiInterpAll(mr.fhClustersDPhiInterpAll), fhClustersDThetaInterpAll(mr.fhClustersDThetaInterpAll), fhClustersDZetaInterpAll(mr.fhClustersDZetaInterpAll), fhDPhiVsDThetaInterpAll(mr.fhDPhiVsDThetaInterpAll), fhDPhiVsDThetaInterpAcc(mr.fhDPhiVsDThetaInterpAcc), fhDPhiVsDZetaInterpAll(mr.fhDPhiVsDZetaInterpAll), fhDPhiVsDZetaInterpAcc(mr.fhDPhiVsDZetaInterpAcc), fhetaClustersLay2(mr.fhetaClustersLay2), fhphiClustersLay2(mr.fhphiClustersLay2), fhClustersInChip(mr.fhClustersInChip), fhClustersInModuleLay1(mr.fhClustersInModuleLay1), fhClustersInModuleLay2(mr.fhClustersInModuleLay2) { // Copy constructor } //______________________________________________________________________ AliITSTrackleterSPDEff& AliITSTrackleterSPDEff::operator=(const AliITSTrackleterSPDEff& mr){ // Assignment operator this->~AliITSTrackleterSPDEff(); new(this) AliITSTrackleterSPDEff(mr); return *this; } //______________________________________________________________________ AliITSTrackleterSPDEff::~AliITSTrackleterSPDEff(){ // Destructor // from AliITSMultReconstructor // delete arrays for(Int_t i=0; i<300000; i++) { delete [] fClustersLay1[i]; delete [] fClustersLay2[i]; delete [] fTracklets[i]; } delete [] fClustersLay1; delete [] fClustersLay2; delete [] fTracklets; delete [] fAssociationFlag; // // delete histograms DeleteHistos(); delete [] fAssociationFlag1; delete [] fChipPredOnLay2; delete [] fChipPredOnLay1; delete [] fChipUpdatedInEvent; delete [] fPredictionPrimary; delete [] fPredictionSecondary; delete [] fClusterPrimary; delete [] fClusterSecondary; delete [] fSuccessPP; delete [] fSuccessTT; delete [] fSuccessS; delete [] fSuccessP; delete [] fFailureS; delete [] fFailureP; delete [] fRecons; delete [] fNonRecons; // delete PlaneEff delete fPlaneEffSPD; fPlaneEffSPD=0; if(fPlaneEffBkg) { delete fPlaneEffBkg; fPlaneEffBkg=0; } } //____________________________________________________________________ void AliITSTrackleterSPDEff::Reconstruct(AliStack *pStack, TTree *tRef, Bool_t lbkg) { // // - you have to take care of the following, before of using Reconstruct // 1) call LoadClusters(TTree* cl) that finds the position of the clusters (in global coord) // and convert the cluster coordinates to theta, phi (seen from the // interaction vertex). // 2) call SetVertex(vtxPos, vtxErr) which set the position of the vertex // - Find the extrapolation/interpolation point. // - Find the chip corresponding to that // - Check if there is a cluster near that point // // reset counters if(lbkg && !GetLightBkgStudyInParallel()) { AliError("You asked for lightBackground in the Reconstruction without proper call to SetLightBkgStudyInParallel(1)"); return; } AliITSPlaneEffSPD *pe; if(lbkg) { pe=fPlaneEffBkg; } else { pe=fPlaneEffSPD; } fNTracklets = 0; // retrieve the vertex position Float_t vtx[3]; vtx[0]=(Float_t)GetX(); vtx[1]=(Float_t)GetY(); vtx[2]=(Float_t)GetZ(); // to study residual background (i.e. contribution from TT' to measured efficiency) if(fReflectClusterAroundZAxisForLayer0 && !lbkg) ReflectClusterAroundZAxisForLayer(0); if(fReflectClusterAroundZAxisForLayer1 && !lbkg) ReflectClusterAroundZAxisForLayer(1); // if(fMC && !pStack && !lbkg) {AliError("You asked for MC infos but AliStack not properly loaded"); return;} if(fMC && !tRef && !lbkg) {AliError("You asked for MC infos but TrackRef Tree not properly loaded"); return;} Bool_t found; Int_t nfTraPred1=0; Int_t ntTraPred1=0; Int_t nfTraPred2=0; Int_t ntTraPred2=0; Int_t nfClu1=0; Int_t ntClu1=0; Int_t nfClu2=0; Int_t ntClu2=0; // Set fChipUpdatedInEvent=kFALSE for all the chips (none of the chip efficiency already updated // for this new event) for(Int_t i=0;i<1200;i++) fChipUpdatedInEvent[i] = kFALSE; // find the tracklets AliDebug(1,"Looking for tracklets... "); AliDebug(1,Form("Reconstruct: vtx[0] = %f, vtx[1] = %f, vtx[2] = %f",vtx[0],vtx[1],vtx[2])); //########################################################### // Loop on layer 1 : finding theta, phi and z UInt_t key; for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) { Float_t x = fClustersLay1[iC1][0] - vtx[0]; Float_t y = fClustersLay1[iC1][1] - vtx[1]; Float_t z = fClustersLay1[iC1][2] - vtx[2]; Float_t r = TMath::Sqrt(x*x + y*y +z*z); fClustersLay1[iC1][0] = TMath::ACos(z/r); // Store Theta fClustersLay1[iC1][1] = TMath::Pi() + TMath::ATan2(-y,-x); // Store Phi fClustersLay1[iC1][2] = z; // Store z // find the Radius and the chip corresponding to the extrapolation point found=FindChip(key, 1, vtx, fClustersLay1[iC1][0],fClustersLay1[iC1][1]); if (!found) { AliDebug(1,Form("Reconstruct: cannot find chip prediction on outer layer for cluster %d on the inner layer",iC1)); key=999999; // also some other actions should be taken if not Found } nfTraPred2+=(Int_t)found; // this for debugging purpose ntTraPred2++; // to check efficiency of the method FindChip fChipPredOnLay2[iC1] = key; fAssociationFlag1[iC1] = kFALSE; if (fHistOn && !lbkg) { Float_t eta=fClustersLay1[iC1][0]; eta= TMath::Tan(eta/2.); eta=-TMath::Log(eta); fhetaClustersLay1->Fill(eta); fhphiClustersLay1->Fill(fClustersLay1[iC1][1]); fhClustersInChip->Fill(fhClustersInChip->GetBinCenter(key+1)); // if found=kFALSE -> overflow } } // Loop on layer 2 : finding theta, phi and r for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) { Float_t x = fClustersLay2[iC2][0] - vtx[0]; Float_t y = fClustersLay2[iC2][1] - vtx[1]; Float_t z = fClustersLay2[iC2][2] - vtx[2]; Float_t r = TMath::Sqrt(x*x + y*y +z*z); fClustersLay2[iC2][0] = TMath::ACos(z/r); // Store Theta fClustersLay2[iC2][1] = TMath::Pi() + TMath::ATan2(-y,-x); // Store Phi (done properly in the range [0,2pi]) fClustersLay2[iC2][2] = z; // Store z // find the Radius and the chip corresponding to the extrapolation point found=FindChip(key, 0, vtx, fClustersLay2[iC2][0],fClustersLay2[iC2][1]); if (!found) { AliDebug(1,Form("Reconstruct: cannot find chip prediction on inner layer for cluster %d on the outer layer",iC2)); key=999999; } nfTraPred1+=(Int_t)found; // this for debugging purpose ntTraPred1++; // to check efficiency of the method FindChip fChipPredOnLay1[iC2] = key; fAssociationFlag[iC2] = kFALSE; if (fHistOn && !lbkg) { Float_t eta=fClustersLay2[iC2][0]; eta= TMath::Tan(eta/2.); eta=-TMath::Log(eta); fhetaClustersLay2->Fill(eta); fhphiClustersLay2->Fill(fClustersLay2[iC2][1]); fhClustersInChip->Fill(fhClustersInChip->GetBinCenter(key+1)); // if found=kFALSE -> overflow } } //########################################################### // First part : Extrapolation to Layer 2 // Loop on layer 1 for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) { // here the control to check whether the efficiency of the chip traversed by this tracklet // prediction has already been updated in this event using another tracklet prediction if(fUpdateOncePerEventPlaneEff && fChipPredOnLay2[iC1]<1200 && fChipUpdatedInEvent[fChipPredOnLay2[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! // in any case, if MC has been required, store statistics of primaries and secondaries Bool_t primary=kFALSE; Bool_t secondary=kFALSE; // it is better to have both since chip might not be found if (fMC && !lbkg) { Int_t lab1=(Int_t)fClustersLay1[iC1][3]; Int_t lab2=(Int_t)fClustersLay1[iC1][4]; Int_t lab3=(Int_t)fClustersLay1[iC1][5]; // do it always as a function of the chip number used to built the prediction found=FindChip(key,0,vtx,fClustersLay1[iC1][0],fClustersLay1[iC1][1],fClustersLay1[iC1][2]); if (!found) {AliDebug(1, Form("Reconstruct MC: cannot find chip on inner layer for cluster %d",iC1)); } else { if((lab1 != -2 && PrimaryTrackChecker(lab1,pStack) ) || (lab2 != -2 && PrimaryTrackChecker(lab2,pStack) ) || (lab3 != -2 && PrimaryTrackChecker(lab3,pStack))) { // this cluster is from a primary particle fClusterPrimary[key]++; primary=kTRUE; if(fUseOnlySecondaryForPred) continue; // skip this tracklet built with a primary track } else { // this cluster is from a secondary particle fClusterSecondary[key]++; secondary=kTRUE; if(fUseOnlyPrimaryForPred) continue; // skip this tracklet built with a secondary track } } // do it as a function of the chip number where you exspect the cluster (i.e. tracklet prediction) // (in case the prediction is reliable) if( fChipPredOnLay2[iC1]<1200) { if((lab1 != -2 && PrimaryTrackChecker(lab1,pStack) ) || (lab2 != -2 && PrimaryTrackChecker(lab2,pStack) ) || (lab3 != -2 && PrimaryTrackChecker(lab3,pStack))) fPredictionPrimary[fChipPredOnLay2[iC1]]++; else fPredictionSecondary[fChipPredOnLay2[iC1]]++; if((lab1 != -2 && IsReconstructableAt(1,iC1,lab1,vtx,pStack,tRef)) || (lab2 != -2 && IsReconstructableAt(1,iC1,lab2,vtx,pStack,tRef)) || (lab3 != -2 && IsReconstructableAt(1,iC1,lab3,vtx,pStack,tRef))) fRecons[fChipPredOnLay2[iC1]]++; else fNonRecons[fChipPredOnLay2[iC1]]++; } } // Loop on layer 2 for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) { // The following excludes double associations if (!fAssociationFlag[iC2]) { // 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]); // take into account boundary condition if (dPhi>TMath::Pi()) dPhi=2.*TMath::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 = TMath::Cos(fClustersLay1[iC1][0])*r2 - fClustersLay2[iC2][2]; if (fHistOn && !lbkg) { 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(dPhi*dPhi/fPhiWindowL2/fPhiWindowL2 + dZeta*dZeta/fZetaWindowL2/fZetaWindowL2); 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; iC2WithBestDist = iC2; } } } // end of loop over clusters in layer 2 if (distmin<100) { // This means that a cluster in layer 2 was found that matches with iC1 if (fHistOn && !lbkg) { 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]; // find labels 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 (label2 < 3) { fTracklets[fNTracklets][3] = fClustersLay1[iC1][3+label1]; } else { fTracklets[fNTracklets][3] = -2; } if (fHistOn && !lbkg) { Float_t eta=fTracklets[fNTracklets][0]; eta= TMath::Tan(eta/2.); eta=-TMath::Log(eta); fhetaTracklets->Fill(eta); fhphiTracklets->Fill(fTracklets[fNTracklets][1]); } // Check that this cluster is still in the same chip (here you pass also Zvtx for better computation) found=FindChip(key,1,vtx,fClustersLay2[iC2WithBestDist][0],fClustersLay2[iC2WithBestDist][1],fClustersLay2[iC2WithBestDist][2]); if(!found){ AliDebug(1, Form("Reconstruct: cannot find chip on outer layer for cluster %d",iC2WithBestDist)); key=999999; } nfClu2+=(Int_t)found; // this for debugging purpose ntClu2++; // to check efficiency of the method FindChip if(key<1200) { // the Chip has been found if(fMC && !lbkg) { // this part only for MC // Int_t labc1=(Int_t)fClustersLay2[iC2WithBestDist][3]; // Int_t labc2=(Int_t)fClustersLay2[iC2WithBestDist][4]; // Int_t labc3=(Int_t)fClustersLay2[iC2WithBestDist][5]; if (label2 < 3) { fSuccessTT[key]++; if(primary) fSuccessPP[key]++; } if (fUseOnlyDifferentParticle && label2 < 3) continue; // same label (reject it) if (fUseOnlySameParticle && label2 == 3) continue; // different label (reject it) } if (key==fChipPredOnLay2[iC1]) { // this control seems too loose: has to be checked ! // OK, success pe->UpDatePlaneEff(kTRUE,key); // success fChipUpdatedInEvent[key]=kTRUE; if(fMC && !lbkg) { if(primary) fSuccessP[key]++; if(secondary) fSuccessS[key]++; } } else { pe->UpDatePlaneEff(kTRUE,key); // this should not be a failure fChipUpdatedInEvent[key]=kTRUE; // (might be in the tracking tollerance) if(fMC && !lbkg) { if(primary) fSuccessP[key]++; if(secondary) fSuccessS[key]++; } } } fNTracklets++; } // if any cluster found --> increment statistics by 1 failure (provided you have chip prediction) else if (fChipPredOnLay2[iC1]<1200) { pe->UpDatePlaneEff(kFALSE,fChipPredOnLay2[iC1]); fChipUpdatedInEvent[fChipPredOnLay2[iC1]]=kTRUE; if(fMC && !lbkg) { if(primary) fFailureP[fChipPredOnLay2[iC1]]++; if(secondary) fFailureS[fChipPredOnLay2[iC1]]++; } } } // end of loop over clusters in layer 1 fNTracklets1=fNTracklets; //################################################################### // Second part : Interpolation to Layer 1 // Loop on layer 2 for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) { // here the control to check whether the efficiency of the chip traversed by this tracklet // prediction has already been updated in this event using another tracklet prediction if(fUpdateOncePerEventPlaneEff && fChipPredOnLay1[iC2]<1200 && fChipUpdatedInEvent[fChipPredOnLay1[iC2]]) continue; // reset of variables for multiple candidates Int_t iC1WithBestDist = 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! // in any case, if MC has been required, store statistics of primaries and secondaries Bool_t primary=kFALSE; Bool_t secondary=kFALSE; if (fMC && !lbkg) { Int_t lab1=(Int_t)fClustersLay2[iC2][3]; Int_t lab2=(Int_t)fClustersLay2[iC2][4]; Int_t lab3=(Int_t)fClustersLay2[iC2][5]; // do it always as a function of the chip number used to built the prediction found=FindChip(key,1,vtx,fClustersLay2[iC2][0],fClustersLay2[iC2][1],fClustersLay2[iC2][2]); if (!found) {AliDebug(1, Form("Reconstruct MC: cannot find chip on outer layer for cluster %d",iC2)); } else { if((lab1 != -2 && PrimaryTrackChecker(lab1,pStack) ) || (lab2 != -2 && PrimaryTrackChecker(lab2,pStack) ) || (lab3 != -2 && PrimaryTrackChecker(lab3,pStack))) { // this cluster is from a primary particle fClusterPrimary[key]++; primary=kTRUE; if(fUseOnlySecondaryForPred) continue; // skip this tracklet built with a primary track } else { // this cluster is from a secondary particle fClusterSecondary[key]++; secondary=kTRUE; if(fUseOnlyPrimaryForPred) continue; // skip this tracklet built with a secondary track } } // do it as a function of the chip number where you exspect the cluster (i.e. tracklet prediction) // (in case the prediction is reliable) if( fChipPredOnLay1[iC2]<1200) { if((lab1 != -2 && PrimaryTrackChecker(lab1,pStack) ) || (lab2 != -2 && PrimaryTrackChecker(lab2,pStack) ) || (lab3 != -2 && PrimaryTrackChecker(lab3,pStack))) fPredictionPrimary[fChipPredOnLay1[iC2]]++; else fPredictionSecondary[fChipPredOnLay1[iC2]]++; if((lab1 != -2 && IsReconstructableAt(0,iC2,lab1,vtx,pStack,tRef)) || (lab2 != -2 && IsReconstructableAt(0,iC2,lab2,vtx,pStack,tRef)) || (lab3 != -2 && IsReconstructableAt(0,iC2,lab3,vtx,pStack,tRef))) fRecons[fChipPredOnLay1[iC2]]++; else fNonRecons[fChipPredOnLay1[iC2]]++; } } // Loop on layer 1 for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) { // The following excludes double associations if (!fAssociationFlag1[iC1]) { // 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]); // take into account boundary condition if (dPhi>TMath::Pi()) dPhi=2.*TMath::Pi()-dPhi; // find the difference in z (between linear projection from layer 2 // and the actual point: Dzeta= z2/r2*r1 -z1) Float_t r1 = fClustersLay1[iC1][2]/TMath::Cos(fClustersLay1[iC1][0]); Float_t dZeta = TMath::Cos(fClustersLay2[iC2][0])*r1 - fClustersLay1[iC1][2]; if (fHistOn && !lbkg) { fhClustersDPhiInterpAll->Fill(dPhi); fhClustersDThetaInterpAll->Fill(dTheta); fhClustersDZetaInterpAll->Fill(dZeta); fhDPhiVsDThetaInterpAll->Fill(dTheta, dPhi); fhDPhiVsDZetaInterpAll->Fill(dZeta, dPhi); } // make "elliptical" cut in Phi and Zeta! Float_t d = TMath::Sqrt(dPhi*dPhi/fPhiWindowL1/fPhiWindowL1 + dZeta*dZeta/fZetaWindowL1/fZetaWindowL1); if (d>1) continue; //look for the minimum distance: the minimum is in iC1WithBestDist if (TMath::Sqrt(dZeta*dZeta+(r1*dPhi*r1*dPhi)) < distmin ) { distmin=TMath::Sqrt(dZeta*dZeta + (r1*dPhi*r1*dPhi)); dPhimin = dPhi; dThetamin = dTheta; dZetamin = dZeta; iC1WithBestDist = iC1; } } } // end of loop over clusters in layer 1 if (distmin<100) { // This means that a cluster in layer 1 was found that matches with iC2 if (fHistOn && !lbkg) { fhClustersDPhiInterpAcc->Fill(dPhimin); fhClustersDThetaInterpAcc->Fill(dThetamin); fhClustersDZetaInterpAcc->Fill(dZetamin); fhDPhiVsDThetaInterpAcc->Fill(dThetamin, dPhimin); fhDPhiVsDZetaInterpAcc->Fill(dZetamin, dPhimin); } if (fOnlyOneTrackletPerC1) fAssociationFlag1[iC1WithBestDist] = kTRUE; // flag the association // flag the association // store the tracklet // use the theta from the clusters in the first layer fTracklets[fNTracklets][0] = fClustersLay2[iC2][0]; // use the phi from the clusters in the first layer fTracklets[fNTracklets][1] = fClustersLay2[iC2][1]; // Store the difference between phi1 and phi2 fTracklets[fNTracklets][2] = fClustersLay2[iC2][1] - fClustersLay1[iC1WithBestDist][1]; // find labels Int_t label1 = 0; Int_t label2 = 0; while (label2 < 3) { if ((Int_t) fClustersLay2[iC2][3+label1] != -2 && (Int_t) fClustersLay2[iC2][3+label1] == (Int_t) fClustersLay1[iC1WithBestDist][3+label2]) break; label1++; if (label1 == 3) { label1 = 0; label2++; } } if (label2 < 3) { fTracklets[fNTracklets][3] = fClustersLay2[iC2][3+label1]; } else { fTracklets[fNTracklets][3] = -2; } // Check that this cluster is still in the same chip (here you pass also Zvtx for better computation) found=FindChip(key,0,vtx,fClustersLay1[iC1WithBestDist][0],fClustersLay1[iC1WithBestDist][1],fClustersLay1[iC1WithBestDist][2]); if(!found){ AliDebug(1, Form("Reconstruct: cannot find chip on inner layer for cluster %d",iC1WithBestDist)); key=999999; } nfClu1+=(Int_t)found; // this for debugging purpose ntClu1++; // to check efficiency of the method FindChip if(key<1200) { if(fMC && !lbkg) { // this part only for MC // Int_t labc1=(Int_t)fClustersLay1[iC1WithBestDist][3]; // Int_t labc2=(Int_t)fClustersLay1[iC1WithBestDist][4]; // Int_t labc3=(Int_t)fClustersLay1[iC1WithBestDist][5]; if (label2 < 3) { // same label fSuccessTT[key]++; if(primary) fSuccessPP[key]++; } if (fUseOnlyDifferentParticle && label2 < 3) continue; // same label (reject it) if (fUseOnlySameParticle && label2 == 3) continue; // different label (reject it) } if (key==fChipPredOnLay1[iC2]) { // this control seems too loose: has to be checked ! // OK, success pe->UpDatePlaneEff(kTRUE,key); // success fChipUpdatedInEvent[key]=kTRUE; if(fMC && !lbkg) { if(primary) fSuccessP[key]++; if(secondary) fSuccessS[key]++; } } else { pe->UpDatePlaneEff(kTRUE,key); // this should not be a failure fChipUpdatedInEvent[key]=kTRUE; // (might be in the tracking tollerance) if(fMC && !lbkg) { if(primary) fSuccessP[key]++; if(secondary) fSuccessS[key]++; } } } fNTracklets++; } // if no cluster found --> increment statistics by 1 failure (provided you have chip prediction) else if (fChipPredOnLay1[iC2]<1200) { pe->UpDatePlaneEff(kFALSE,fChipPredOnLay1[iC2]); fChipUpdatedInEvent[fChipPredOnLay1[iC2]]=kTRUE; if(fMC && !lbkg) { if(primary) fFailureP[fChipPredOnLay1[iC2]]++; if(secondary) fFailureS[fChipPredOnLay1[iC2]]++; } } } // end of loop over clusters in layer 2 AliDebug(1,Form("%d tracklets found", fNTracklets)); AliDebug(1,Form(("Eff. of method FindChip for Track pred. on lay 1 = %d / %d"),nfTraPred1,ntTraPred1)); AliDebug(1,Form(("Eff. of method FindChip for Track pred. on lay 2 = %d / %d"),nfTraPred2,ntTraPred2)); AliDebug(1,Form(("Eff. of method FindChip for Cluster on lay 1 = %d / %d"),nfClu1,ntClu1)); AliDebug(1,Form(("Eff. of method FindChip for Cluster on lay 2 = %d / %d"),nfClu2,ntClu2)); } //____________________________________________________________________ Bool_t AliITSTrackleterSPDEff::FindChip(UInt_t &key, Int_t layer,const Float_t* vtx, Float_t thetaVtx, Float_t phiVtx, Float_t zVtx) { // // Input: a) layer number in the range [0,1] // b) vtx[3]: actual vertex // c) zVtx \ z of the cluster (-999 for tracklet) computed with respect to vtx // d) thetaVtx > theta and phi of the cluster/tracklet computed with respect to vtx // e) phiVtx / // Output: Unique key to locate a chip // return: kTRUE if succesfull if(layer<0 || layer >1) {AliWarning("Wrong layer: should be 0 or 1!"); return kFALSE;} Double_t r=GetRLayer(layer); //AliInfo(Form("Radius on layer %d is %f cm",layer,r)); // set phiVtx in the range [0,2pi] if(!SetAngleRange02Pi(phiVtx)) return kFALSE ; Double_t zAbs,phiAbs; // those are the polar coordinate, in the Absolute ALICE Reference // of the intersection of the tracklet with the pixel layer. if (TMath::Abs(zVtx)<100) zAbs=zVtx + vtx[2]; // this is fine only for the cluster, not for the track prediction else { if(TMath::Abs(thetaVtx)<1E-6) return kFALSE; zAbs=r/TMath::Tan(thetaVtx) + vtx[2]; // this is the only way to do for the tracklet prediction } AliDebug(1,Form("FindChip: vtx[0] = %f, vtx[1] = %f, vtx[2] = %f",vtx[0],vtx[1],vtx[2])); Double_t vtxy[2]={vtx[0],vtx[1]}; if (vtxy[0]*vtxy[1]+vtxy[1]*vtxy[1]>0) { // this method holds only for displaced vertices // this method gives you two interceptions if (!FindIntersectionPolar(vtxy,(Double_t)phiVtx,r,phiAbs)) return kFALSE; // set phiAbs in the range [0,2pi] if(!SetAngleRange02Pi(phiAbs)) return kFALSE; // since Vtx is very close to the ALICE origin, then phiVtx and phiAbs are very close; // therofore you can select the right intersection (among phiAbs1 and phiAbs2) by // taking the closest one to phiVtx AliDebug(1,Form("PhiVtx= %f, PhiAbs= %f",phiVtx,phiAbs)); } else phiAbs=phiVtx; Int_t idet=FindDetectorIndex(layer,phiAbs,zAbs); // this is the detector number // now you need to locate the chip within the idet detector, // starting from the local coordinates in such a detector Float_t locx; // local Cartesian coordinate (to be determined) corresponding to Float_t locz; // the Global Cilindrica coordinate (r,phiAbs,zAbs) . if(!FromGloCilToLocCart(layer,idet,r,phiAbs,zAbs, locx, locz)) return kFALSE; key=fPlaneEffSPD->GetKeyFromDetLocCoord(layer,idet,locx,locz); return kTRUE; } //______________________________________________________________________________ Double_t AliITSTrackleterSPDEff::GetRLayer(Int_t layer) { // // Return the average radius of a layer from Geometry // if(layer<0 || layer >1) {AliWarning("Wrong layer: should be 0 or 1!"); return -999.;} Int_t i=layer+1; // in AliITSgeomTGeo you count from 1 to 6 ! Double_t xyz[3], &x=xyz[0], &y=xyz[1]; AliITSgeomTGeo::GetOrigTranslation(i,1,1,xyz); Double_t r=TMath::Sqrt(x*x + y*y); AliITSgeomTGeo::GetOrigTranslation(i,1,2,xyz); r += TMath::Sqrt(x*x + y*y); AliITSgeomTGeo::GetOrigTranslation(i,2,1,xyz); r += TMath::Sqrt(x*x + y*y); AliITSgeomTGeo::GetOrigTranslation(i,2,2,xyz); r += TMath::Sqrt(x*x + y*y); r*=0.25; return r; } //______________________________________________________________________________ Bool_t AliITSTrackleterSPDEff::FromGloCilToLocCart(Int_t ilayer,Int_t idet, Double_t r, Double_t phi, Double_t z, Float_t &xloc, Float_t &zloc) { // this method transform Global Cilindrical coordinates into local (i.e. module) // cartesian coordinates // //Compute Cartesian Global Coordinate Double_t xyzGlob[3],xyzLoc[3]; xyzGlob[2]=z; xyzGlob[0]=r*TMath::Cos(phi); xyzGlob[1]=r*TMath::Sin(phi); xloc=0.; zloc=0.; if(idet<0) return kFALSE; Int_t ndet=AliITSgeomTGeo::GetNDetectors(ilayer+1); // layers from 1 to 6 Int_t lad = Int_t(idet/ndet) + 1; Int_t det = idet - (lad-1)*ndet + 1; AliITSgeomTGeo::GlobalToLocal(ilayer+1,lad,det,xyzGlob,xyzLoc); xloc = (Float_t)xyzLoc[0]; zloc = (Float_t)xyzLoc[2]; return kTRUE; } //______________________________________________________________________________ Int_t AliITSTrackleterSPDEff::FindDetectorIndex(Int_t layer, Double_t phi, Double_t z) { //-------------------------------------------------------------------- // This function finds the detector crossed by the track // Input: layer in range [0,1] // phi in ALICE absolute reference system // z " " " " " //-------------------------------------------------------------------- if(layer<0 || layer >1) {AliWarning("Wrong layer: should be 0 or 1!"); return -1;} Int_t i=layer+1; // in AliITSgeomTGeo you count from 1 to 6 ! Int_t nladders=AliITSgeomTGeo::GetNLadders(i); Int_t ndetectors=AliITSgeomTGeo::GetNDetectors(i); Double_t xyz[3], &x=xyz[0], &y=xyz[1], &z2=xyz[2]; AliITSgeomTGeo::GetOrigTranslation(i,1,1,xyz); Double_t phiOffset=TMath::ATan2(y,x); Double_t zOffset=z2; Double_t dphi; if (zOffset<0) // old geometry dphi = -(phi-phiOffset); else // new geometry dphi = phi-phiOffset; if (dphi < 0) dphi += 2*TMath::Pi(); else if (dphi >= 2*TMath::Pi()) dphi -= 2*TMath::Pi(); Int_t np=Int_t(dphi*nladders*0.5/TMath::Pi()+0.5); if (np>=nladders) np-=nladders; if (np<0) np+=nladders; Double_t dz=zOffset-z; Double_t nnz = dz*(ndetectors-1)*0.5/zOffset+0.5; Int_t nz = (nnz<0 ? -1 : (Int_t)nnz); if (nz>=ndetectors) {AliDebug(1,Form("too long: nz =%d",nz)); return -1;} if (nz<0) {AliDebug(1,Form("too short: nz =%d",nz)); return -1;} return np*ndetectors + nz; } //____________________________________________________________ Bool_t AliITSTrackleterSPDEff::FindIntersectionPolar(Double_t vtx[2],Double_t phiVtx, Double_t R,Double_t &phi) { // this method find the intersection in xy between a tracklet (straight line) and // a circonference (r=R), using polar coordinates. /* Input: - vtx[2]: actual vertex w.r.t. ALICE reference system - phiVtx: phi angle of the line (tracklet) computed w.r.t. vtx - R: radius of the circle Output: - phi : phi angle of the unique interception in the ALICE Global ref. system Correct method below: you have the equation of a circle (in polar coordinate) w.r.t. Actual vtx: r^2-2*r*r0*cos(phi-phi0) + r0^2 = R^2 , where (r0,phi0) is the centre of the circle In the same system, the equation of a semi-line is: phi=phiVtx; Hence you get one interception only: P=(r,phiVtx) Finally you want P in the ABSOLUTE ALICE reference system. */ Double_t rO=TMath::Sqrt(vtx[0]*vtx[0]+vtx[1]*vtx[1]); // polar coordinates of the ALICE origin Double_t phiO=TMath::ATan2(-vtx[1],-vtx[0]); // in the system with vtx[2] as origin Double_t bB=-2.*rO*TMath::Cos(phiVtx-phiO); Double_t cC=rO*rO-R*R; Double_t dDelta=bB*bB-4*cC; if(dDelta<0) return kFALSE; Double_t r1,r2; r1=(-bB-TMath::Sqrt(dDelta))/2; r2=(-bB+TMath::Sqrt(dDelta))/2; if(r1*r2>0) { printf("allora non hai capito nulla \n"); return kFALSE;} Double_t r=TMath::Max(r1,r2); // take the positive Double_t pvtx[2]; // Cartesian coordinates of the interception w.r.t. vtx Double_t pP[2]; // Cartesian coordinates of the interception w.r.t. ALICE origin pvtx[0]=r*TMath::Cos(phiVtx); pvtx[1]=r*TMath::Sin(phiVtx); pP[0]=vtx[0]+pvtx[0]; pP[1]=vtx[1]+pvtx[1]; phi=TMath::ATan2(pP[1],pP[0]); return kTRUE; } //___________________________________________________________ Bool_t AliITSTrackleterSPDEff::SetAngleRange02Pi(Double_t &angle) const { // // simple method to reduce all angles (in rad) // in range [0,2pi[ // // while(angle >=2*TMath::Pi() || angle<0) { if(angle >= 2*TMath::Pi()) angle-=2*TMath::Pi(); if(angle < 0) angle+=2*TMath::Pi(); } return kTRUE; } //___________________________________________________________ Bool_t AliITSTrackleterSPDEff::PrimaryTrackChecker(Int_t ipart,AliStack* stack) { // // This method check if a particle is primary; i.e. // it comes from the main vertex and it is a "stable" particle, according to // AliStack::IsPhysicalPrimary() (note that there also Sigma0 are considered as // a stable particle: it has no effect on this analysis). // This method can be called only for MC events, where Kinematics is available. // if fUseOnlyStableParticle is kTRUE (via SetUseOnlyStableParticle) then it // returns kTRUE if also AliITSTrackleterSPDEff::DecayingTrackChecker() return 0. // The latter (see below) try to verify if a primary particle is also "detectable". // if(!fMC) {AliError("This method works only if SetMC() has been called"); return kFALSE;} if(!stack) {AliError("null pointer to MC stack"); return kFALSE;} if(ipart >= stack->GetNtrack()) {AliError("this track label is not in MC stack"); return kFALSE;} // return stack->IsPhysicalPrimary(ipart); // looking at AliStack.cxx this does not seem to be complete (e.g. Pi0 Dalitz) if(!stack->IsPhysicalPrimary(ipart)) return kFALSE; // like below: as in the correction for Multiplicity (i.e. by hand in macro) TParticle* part = stack->Particle(ipart); TParticle* part0 = stack->Particle(0); // first primary TParticle* partl = stack->Particle(stack->GetNprimary()-1); //last primary if (part0->Vx()-partl->Vx()>0) AliDebug(1,Form("Difference in vtx position between 1th and last primaries %f %f %f", part0->Vx()-partl->Vx(),part0->Vy()-partl->Vy(), part0->Vz()-partl->Vz() )); if (!part || strcmp(part->GetName(),"XXX")==0) {AliWarning("String , not particle ??") ;return kFALSE; } TParticlePDG* pdgPart = part->GetPDG(); if (TMath::Abs(pdgPart->Charge()) < 3) {AliWarning("This seems a quark"); return kFALSE;} Double_t distx = part->Vx() - part0->Vx(); Double_t disty = part->Vy() - part0->Vy(); Double_t distz = part->Vz() - part0->Vz(); Double_t distR=TMath::Sqrt(distx*distx + disty*disty + distz*distz); if (distR > 0.05) {AliDebug(1,Form("True vertex should be %f %f, this particle from %f %f ", part0->Vx(),part0->Vy(),part->Vx(),part->Vy())); return kFALSE; }// primary if within 500 microns from true Vertex if(fUseOnlyStableParticle && DecayingTrackChecker(ipart,stack)>0) return kFALSE; return kTRUE; } //_____________________________________________________________________________________________ Int_t AliITSTrackleterSPDEff::DecayingTrackChecker(Int_t ipart,AliStack* stack) { // // This private method can be applied on MC particles (if stack is available), // provided they have been identified as "primary" from PrimaryTrackChecker() (see above). // // It define "detectable" a primary particle according to the following criteria: // // - if no decay products can be found in the stack (note that this does not // means it is stable, since a particle is stored in stack if it has at least 1 hit in a // sensitive detector) // - if it has at least one decay daughter produced outside or just on the outer pixel layer // - if the last decay particle is an electron (or a muon) which is not produced in-between // the two pixel layers (this is likely to be a kink). if(!fMC) {AliError("This method works only if SetMC() has been called"); return 0;} if(!stack) {AliError("null pointer to MC stack"); return 0;} if(ipart >= stack->GetNtrack()) {AliError("this track label is not in MC stack"); return 0;} TParticle* part = stack->Particle(ipart); //TParticle* part0 = stack->Particle(0); // first primary Int_t nret=0; TParticle* dau = 0; // Int_t nDau = 0; Int_t pdgDau; Int_t firstDau = part->GetFirstDaughter(); // if no daugther stored then no way to understand i // its real fate ! But you have to take it ! if (firstDau > 0) { // if it has daugther(s) try to infer if it is "detectable" as a tracklet Int_t lastDau = part->GetLastDaughter(); // nDau = lastDau - firstDau + 1; Double_t distMax=0.; Int_t jmax=0; for(Int_t j=firstDau; j<=lastDau; j++) { dau = stack->Particle(j); Double_t distx = dau->Vx(); Double_t disty = dau->Vy(); //Double_t distz = dau->Vz(); Double_t distR = TMath::Sqrt(distx*distx+disty*disty); if(distR<distMax) continue; // considere only the daughter produced at largest radius distMax=distR; jmax=j; } dau = stack->Particle(jmax); pdgDau=dau->GetPdgCode(); if (pdgDau == 11 || pdgDau == 13 ) { if(distMax < GetRLayer(1)-0.25 && distMax > GetRLayer(0)+0.27) nret=1; // can be a kink (reject it) else nret =0; // delta-ray emission in material (keep it) } else {// not ele or muon if (distMax < GetRLayer(1)-0.25 ) nret= 1;} // decay before the second pixel layer (reject it) } return nret; } //_________________________________________________________________ void AliITSTrackleterSPDEff::InitPredictionMC() { // // this method allocate memory for the MC related informations // all the counters are set to 0 // // if(!fMC) {AliError("This method works only if SetMC() has been called"); return;} fPredictionPrimary = new Int_t[1200]; fPredictionSecondary = new Int_t[1200]; fClusterPrimary = new Int_t[1200]; fClusterSecondary = new Int_t[1200]; fSuccessPP = new Int_t[1200]; fSuccessTT = new Int_t[1200]; fSuccessS = new Int_t[1200]; fSuccessP = new Int_t[1200]; fFailureS = new Int_t[1200]; fFailureP = new Int_t[1200]; fRecons = new Int_t[1200]; fNonRecons = new Int_t[1200]; for(Int_t i=0; i<1200; i++) { fPredictionPrimary[i]=0; fPredictionSecondary[i]=0; fPredictionSecondary[i]=0; fClusterSecondary[i]=0; fSuccessPP[i]=0; fSuccessTT[i]=0; fSuccessS[i]=0; fSuccessP[i]=0; fFailureS[i]=0; fFailureP[i]=0; fRecons[i]=0; fNonRecons[i]=0; } return; } //_________________________________________________________________ void AliITSTrackleterSPDEff::DeletePredictionMC() { // // this method deallocate memory for the MC related informations // all the counters are set to 0 // // if(fMC) {AliInfo("This method works only if fMC=kTRUE"); return;} if(fPredictionPrimary) { delete fPredictionPrimary; fPredictionPrimary=0; } if(fPredictionSecondary) { delete fPredictionSecondary; fPredictionSecondary=0; } if(fClusterPrimary) { delete fClusterPrimary; fClusterPrimary=0; } if(fClusterSecondary) { delete fClusterSecondary; fClusterSecondary=0; } if(fSuccessPP) { delete fSuccessPP; fSuccessPP=0; } if(fSuccessTT) { delete fSuccessTT; fSuccessTT=0; } if(fSuccessS) { delete fSuccessS; fSuccessS=0; } if(fSuccessP) { delete fSuccessP; fSuccessP=0; } if(fFailureS) { delete fFailureS; fFailureS=0; } if(fFailureP) { delete fFailureP; fFailureP=0; } if(fRecons) { delete fRecons; fRecons=0; } if(fNonRecons) { delete fNonRecons; fNonRecons=0; } return; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetPredictionPrimary(const UInt_t key) const { // // This method return the Data menmber fPredictionPrimary [1200]. // You can call it only for MC events. // fPredictionPrimary[key] contains the number of tracklet predictions on the // given chip key built using a cluster on the other layer produced (at least) // from a primary particle. // Key refers to the chip crossed by the prediction // // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fPredictionPrimary[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetPredictionSecondary(const UInt_t key) const { // // This method return the Data menmber fPredictionSecondary [1200]. // You can call it only for MC events. // fPredictionSecondary[key] contains the number of tracklet predictions on the // given chip key built using a cluster on the other layer produced (only) // from a secondary particle // Key refers to the chip crossed by the prediction // // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fPredictionSecondary[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetClusterPrimary(const UInt_t key) const { // // This method return the Data menmber fClusterPrimary [1200]. // You can call it only for MC events. // fClusterPrimary[key] contains the number of tracklet predictions // built using a cluster on that layer produced (only) // from a primary particle // Key refers to the chip used to build the prediction // // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fClusterPrimary[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetClusterSecondary(const UInt_t key) const { // // This method return the Data menmber fClusterSecondary [1200]. // You can call it only for MC events. // fClusterSecondary[key] contains the number of tracklet predictions // built using a cluster on that layer produced (only) // from a secondary particle // Key refers to the chip used to build the prediction // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fClusterSecondary[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetSuccessPP(const UInt_t key) const { // // This method return the Data menmber fSuccessPP [1200]. // You can call it only for MC events. // fSuccessPP[key] contains the number of successes (i.e. a tracklet prediction matching // with a cluster on the other layer) built by using the same primary particle // the unique chip key refers to the chip which get updated its efficiency // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fSuccessPP[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetSuccessTT(const UInt_t key) const { // // This method return the Data menmber fSuccessTT [1200]. // You can call it only for MC events. // fSuccessTT[key] contains the number of successes (i.e. a tracklet prediction matching // with a cluster on the other layer) built by using the same particle (whatever) // the unique chip key refers to the chip which get updated its efficiency // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fSuccessTT[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetSuccessS(const UInt_t key) const { // // This method return the Data menmber fSuccessS [1200]. // You can call it only for MC events. // fSuccessS[key] contains the number of successes (i.e. a tracklet prediction matching // with a cluster on the other layer) built by using a secondary particle // the unique chip key refers to the chip which get updated its efficiency // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fSuccessS[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetSuccessP(const UInt_t key) const { // // This method return the Data menmber fSuccessP [1200]. // You can call it only for MC events. // fSuccessP[key] contains the number of successes (i.e. a tracklet prediction matching // with a cluster on the other layer) built by using a primary particle // the unique chip key refers to the chip which get updated its efficiency // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fSuccessP[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetFailureS(const UInt_t key) const { // // This method return the Data menmber fFailureS [1200]. // You can call it only for MC events. // fFailureS[key] contains the number of failures (i.e. a tracklet prediction not matching // with a cluster on the other layer) built by using a secondary particle // the unique chip key refers to the chip which get updated its efficiency // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fFailureS[(Int_t)key]; } //______________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetFailureP(const UInt_t key) const { // // This method return the Data menmber fFailureP [1200]. // You can call it only for MC events. // fFailureP[key] contains the number of failures (i.e. a tracklet prediction not matching // with a cluster on the other layer) built by using a primary particle // the unique chip key refers to the chip which get updated its efficiency // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fFailureP[(Int_t)key]; } //_____________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetRecons(const UInt_t key) const { // // This method return the Data menmber fRecons [1200]. // You can call it only for MC events. // fRecons[key] contains the number of reconstractable tracklets (i.e. a tracklet prediction which // has an hit in the detector) // the unique chip key refers to the chip where fall the prediction // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fRecons[(Int_t)key]; } //_____________________________________________________________________ Int_t AliITSTrackleterSPDEff::GetNonRecons(const UInt_t key) const { // // This method return the Data menmber fNonRecons [1200]. // You can call it only for MC events. // fRecons[key] contains the number of unreconstractable tracklets (i.e. a tracklet prediction which // has not any hit in the detector) // the unique chip key refers to the chip where fall the prediction // if (!fMC) {CallWarningMC(); return 0;} if (key>=1200) {AliWarning("You asked for a non existing chip"); return -999;} return fNonRecons[(Int_t)key]; } //______________________________________________________________________ void AliITSTrackleterSPDEff::PrintAscii(ostream *os)const{ // Print out some class data values in Ascii Form to output stream // Inputs: // ostream *os Output stream where Ascii data is to be writen // Outputs: // none. // Return: // none. *os << fPhiWindowL1 <<" "<< fZetaWindowL1 << " " << fPhiWindowL2 <<" "<< fZetaWindowL2 << " " << fOnlyOneTrackletPerC1 << " " << fOnlyOneTrackletPerC2 << " " << fUpdateOncePerEventPlaneEff << " " << fMinContVtx << " " << fReflectClusterAroundZAxisForLayer0 << " " << fReflectClusterAroundZAxisForLayer1; *os << " " << fMC; if(!fMC) {AliInfo("Writing only cuts, no MC info"); return;} *os << " " << fUseOnlyPrimaryForPred << " " << fUseOnlySecondaryForPred << " " << fUseOnlySameParticle << " " << fUseOnlyDifferentParticle << " " << fUseOnlyStableParticle ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetPredictionPrimary(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetPredictionSecondary(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetClusterPrimary(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetClusterSecondary(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetSuccessPP(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetSuccessTT(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetSuccessS(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetSuccessP(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetFailureS(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetFailureP(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetRecons(i) ; for(Int_t i=0;i<1200;i++) *os <<" "<< GetNonRecons(i) ; return; } //______________________________________________________________________ void AliITSTrackleterSPDEff::ReadAscii(istream *is){ // Read in some class data values in Ascii Form to output stream // Inputs: // istream *is Input stream where Ascii data is to be read in from // Outputs: // none. // Return: // none. Bool_t tmp= fMC; *is >> fPhiWindowL1 >> fZetaWindowL1 >> fPhiWindowL2 >> fZetaWindowL2 >> fOnlyOneTrackletPerC1 >> fOnlyOneTrackletPerC2 >> fUpdateOncePerEventPlaneEff >> fMinContVtx >> fReflectClusterAroundZAxisForLayer0 >> fReflectClusterAroundZAxisForLayer1; //if(!fMC) {AliInfo("Reading only cuts, no MC info available");return;} *is >> fMC; if(!fMC) {AliInfo("Reading only cuts, no MC info"); if(tmp) SetMC(kFALSE); } else { if(!tmp) {AliInfo("Calling SetMC() to read this file wtih MC info"); SetMC();} *is >> fUseOnlyPrimaryForPred >> fUseOnlySecondaryForPred >> fUseOnlySameParticle >> fUseOnlyDifferentParticle >> fUseOnlyStableParticle; for(Int_t i=0;i<1200;i++) *is >> fPredictionPrimary[i] ; for(Int_t i=0;i<1200;i++) *is >> fPredictionSecondary[i] ; for(Int_t i=0;i<1200;i++) *is >> fClusterPrimary[i] ; for(Int_t i=0;i<1200;i++) *is >> fClusterSecondary[i] ; for(Int_t i=0;i<1200;i++) *is >> fSuccessPP[i] ; for(Int_t i=0;i<1200;i++) *is >> fSuccessTT[i] ; for(Int_t i=0;i<1200;i++) *is >> fSuccessS[i] ; for(Int_t i=0;i<1200;i++) *is >> fSuccessP[i] ; for(Int_t i=0;i<1200;i++) *is >> fFailureS[i] ; for(Int_t i=0;i<1200;i++) *is >> fFailureP[i] ; for(Int_t i=0;i<1200;i++) *is >> fRecons[i] ; for(Int_t i=0;i<1200;i++) *is >> fNonRecons[i] ; } return; } //______________________________________________________________________ ostream &operator<<(ostream &os,const AliITSTrackleterSPDEff &s){ // Standard output streaming function // Inputs: // ostream &os output steam // AliITSTrackleterSPDEff &s class to be streamed. // Output: // none. // Return: // ostream &os The stream pointer s.PrintAscii(&os); return os; } //______________________________________________________________________ istream &operator>>(istream &is,AliITSTrackleterSPDEff &s){ // Standard inputput streaming function // Inputs: // istream &is input steam // AliITSTrackleterSPDEff &s class to be streamed. // Output: // none. // Return: // ostream &os The stream pointer //printf("prova %d \n", (Int_t)s.GetMC()); s.ReadAscii(&is); return is; } //______________________________________________________________________ void AliITSTrackleterSPDEff::SavePredictionMC(TString filename) const { // // This Method write into an either asci or root file // the used cuts and the statistics of the MC related quantities // The method SetMC() has to be called before // Input TString filename: name of file for output (it deletes already existing // file) // Output: none // // //if(!fMC) {CallWarningMC(); return;} if (!filename.Contains(".root")) { ofstream out(filename.Data(),ios::out | ios::binary); out << *this; out.close(); return; } else { TFile* mcfile = TFile::Open(filename, "RECREATE"); TH1F* cuts = new TH1F("cuts", "list of cuts", 11, 0, 11); // TH1I containing cuts cuts->SetBinContent(1,fPhiWindowL1); cuts->SetBinContent(2,fZetaWindowL1); cuts->SetBinContent(3,fPhiWindowL2); cuts->SetBinContent(4,fZetaWindowL2); cuts->SetBinContent(5,fOnlyOneTrackletPerC1); cuts->SetBinContent(6,fOnlyOneTrackletPerC2); cuts->SetBinContent(7,fUpdateOncePerEventPlaneEff); cuts->SetBinContent(8,fMinContVtx); cuts->SetBinContent(9,fReflectClusterAroundZAxisForLayer0); cuts->SetBinContent(10,fReflectClusterAroundZAxisForLayer1); cuts->SetBinContent(11,fMC); cuts->Write(); delete cuts; if(!fMC) {AliInfo("Writing only cuts, no MC info");} else { TH1C* mc0 = new TH1C("mc0", "mc cuts", 5, 0, 5); mc0->SetBinContent(1,fUseOnlyPrimaryForPred); mc0->SetBinContent(2,fUseOnlySecondaryForPred); mc0->SetBinContent(3,fUseOnlySameParticle); mc0->SetBinContent(4,fUseOnlyDifferentParticle); mc0->SetBinContent(5,fUseOnlyStableParticle); mc0->Write(); delete mc0; TH1I *mc1; mc1 = new TH1I("mc1", "mc info PredictionPrimary", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetPredictionPrimary(i)) ; mc1->Write(); mc1 = new TH1I("mc2", "mc info PredictionSecondary", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetPredictionSecondary(i)) ; mc1->Write(); mc1 = new TH1I("mc3", "mc info ClusterPrimary", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetClusterPrimary(i)) ; mc1->Write(); mc1 = new TH1I("mc4", "mc info ClusterSecondary", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetClusterSecondary(i)) ; mc1->Write(); mc1 = new TH1I("mc5", "mc info SuccessPP", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetSuccessPP(i)) ; mc1->Write(); mc1 = new TH1I("mc6", "mc info SuccessTT", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetSuccessTT(i)) ; mc1->Write(); mc1 = new TH1I("mc7", "mc info SuccessS", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetSuccessS(i)) ; mc1->Write(); mc1 = new TH1I("mc8", "mc info SuccessP", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetSuccessP(i)) ; mc1->Write(); mc1 = new TH1I("mc9", "mc info FailureS", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetFailureS(i)) ; mc1->Write(); mc1 = new TH1I("mc10", "mc info FailureP", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetFailureP(i)) ; mc1->Write(); mc1 = new TH1I("mc11", "mc info Recons", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetRecons(i)) ; mc1->Write(); mc1 = new TH1I("mc12", "mc info NonRecons", 1200, 0, 1200); for(Int_t i=0;i<1200;i++) mc1->SetBinContent(i+1,GetNonRecons(i)) ; mc1->Write(); delete mc1; } mcfile->Close(); } return; } //____________________________________________________________________ void AliITSTrackleterSPDEff::ReadPredictionMC(TString filename) { // // This Method read from an asci file (do not know why binary does not work) // the cuts to be used and the statistics of the MC related quantities // Input TString filename: name of input file for output // The method SetMC() has to be called before // Output: none // // //if(!fMC) {CallWarningMC(); return;} if( gSystem->AccessPathName( filename.Data() ) ) { AliError( Form( "file (%s) not found", filename.Data() ) ); return; } if (!filename.Contains(".root")) { ifstream in(filename.Data(),ios::in | ios::binary); in >> *this; in.close(); return; } else { Bool_t tmp= fMC; TFile *mcfile = TFile::Open(filename); TH1F *cuts = (TH1F*)mcfile->Get("cuts"); fPhiWindowL1=(Float_t)cuts->GetBinContent(1); fZetaWindowL1=(Float_t)cuts->GetBinContent(2); fPhiWindowL2=(Float_t)cuts->GetBinContent(3); fZetaWindowL2=(Float_t)cuts->GetBinContent(4); fOnlyOneTrackletPerC1=(Bool_t)cuts->GetBinContent(5); fOnlyOneTrackletPerC2=(Bool_t)cuts->GetBinContent(6); fUpdateOncePerEventPlaneEff=(Bool_t)cuts->GetBinContent(7); fMinContVtx=(Int_t)cuts->GetBinContent(8); fReflectClusterAroundZAxisForLayer0=(Bool_t)cuts->GetBinContent(9); fReflectClusterAroundZAxisForLayer1=(Bool_t)cuts->GetBinContent(10); fMC=(Bool_t)cuts->GetBinContent(11); if(!fMC) {AliInfo("Reading only cuts, no MC info"); if(tmp) SetMC(kFALSE); } else { // only if file with MC predictions if(!tmp) {AliInfo("Calling SetMC() to read this file wtih MC info"); SetMC();} TH1C *mc0 = (TH1C*)mcfile->Get("mc0"); fUseOnlyPrimaryForPred=(Bool_t)mc0->GetBinContent(1); fUseOnlySecondaryForPred=(Bool_t)mc0->GetBinContent(2); fUseOnlySameParticle=(Bool_t)mc0->GetBinContent(3); fUseOnlyDifferentParticle=(Bool_t)mc0->GetBinContent(4); fUseOnlyStableParticle=(Bool_t)mc0->GetBinContent(5); TH1I *mc1; mc1 =(TH1I*)mcfile->Get("mc1"); for(Int_t i=0;i<1200;i++) fPredictionPrimary[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc2"); for(Int_t i=0;i<1200;i++) fPredictionSecondary[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc3"); for(Int_t i=0;i<1200;i++) fClusterPrimary[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc4"); for(Int_t i=0;i<1200;i++) fClusterSecondary[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc5"); for(Int_t i=0;i<1200;i++) fSuccessPP[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc6"); for(Int_t i=0;i<1200;i++) fSuccessTT[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc7"); for(Int_t i=0;i<1200;i++) fSuccessS[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc8"); for(Int_t i=0;i<1200;i++) fSuccessP[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc9"); for(Int_t i=0;i<1200;i++) fFailureS[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc10"); for(Int_t i=0;i<1200;i++) fFailureP[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc11"); for(Int_t i=0;i<1200;i++) fRecons[i]=(Int_t)mc1->GetBinContent(i+1) ; mc1 =(TH1I*)mcfile->Get("mc12"); for(Int_t i=0;i<1200;i++) fNonRecons[i]=(Int_t)mc1->GetBinContent(i+1) ; } mcfile->Close(); } return; } //____________________________________________________________________ Bool_t AliITSTrackleterSPDEff::SaveHists() { // This (private) method save the histograms on the output file // (only if fHistOn is TRUE). // Also the histograms from the base class are saved through the // AliITSMultReconstructor::SaveHists() call if (!GetHistOn()) return kFALSE; // AliITSMultReconstructor::SaveHists(); // this save the histograms of the base class fhClustersDPhiAll->Write(); fhClustersDThetaAll->Write(); fhClustersDZetaAll->Write(); fhDPhiVsDThetaAll->Write(); fhDPhiVsDZetaAll->Write(); fhClustersDPhiAcc->Write(); fhClustersDThetaAcc->Write(); fhClustersDZetaAcc->Write(); fhDPhiVsDThetaAcc->Write(); fhDPhiVsDZetaAcc->Write(); fhetaTracklets->Write(); fhphiTracklets->Write(); fhetaClustersLay1->Write(); fhphiClustersLay1->Write(); fhClustersDPhiInterpAll->Write(); fhClustersDThetaInterpAll->Write(); fhClustersDZetaInterpAll->Write(); fhDPhiVsDThetaInterpAll->Write(); fhDPhiVsDZetaInterpAll->Write(); fhClustersDPhiInterpAcc->Write(); fhClustersDThetaInterpAcc->Write(); fhClustersDZetaInterpAcc->Write(); fhDPhiVsDThetaInterpAcc->Write(); fhDPhiVsDZetaInterpAcc->Write(); fhetaClustersLay2->Write(); fhphiClustersLay2->Write(); fhClustersInChip->Write(); for (Int_t nhist=0;nhist<80;nhist++){ fhClustersInModuleLay1[nhist]->Write(); } for (Int_t nhist=0;nhist<160;nhist++){ fhClustersInModuleLay2[nhist]->Write(); } return kTRUE; } //__________________________________________________________ Bool_t AliITSTrackleterSPDEff::WriteHistosToFile(TString filename, Option_t* option) { // // Saves the histograms into a tree and saves the trees into a file // Also the histograms from the base class are saved // if (!GetHistOn()) return kFALSE; if (!strcmp(filename.Data(),"")) { AliWarning("WriteHistosToFile: null output filename!"); return kFALSE; } TFile *hFile=new TFile(filename.Data(),option, "The File containing the histos for SPD efficiency studies with tracklets"); if(!SaveHists()) return kFALSE; hFile->Write(); hFile->Close(); return kTRUE; } //____________________________________________________________ void AliITSTrackleterSPDEff::BookHistos() { // // This method books addtitional histograms // w.r.t. those of the base class. // In particular, the differences of cluster coordinate between the two SPD // layers are computed in the interpolation phase // if (! GetHistOn()) { AliInfo("Call SetHistOn(kTRUE) first"); return;} // fhClustersDPhiAcc = new TH1F("dphiacc", "dphi", 100,0.,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->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->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->SetDirectory(0); fhetaTracklets = new TH1F("etaTracklets", "eta", 100,-2.,2.); fhetaTracklets->SetDirectory(0); fhphiTracklets = new TH1F("phiTracklets", "phi", 100, 0., 2*TMath::Pi()); fhphiTracklets->SetDirectory(0); fhetaClustersLay1 = new TH1F("etaClustersLay1", "etaCl1", 100,-2.,2.); fhetaClustersLay1->SetDirectory(0); fhphiClustersLay1 = new TH1F("phiClustersLay1", "phiCl1", 100, 0., 2*TMath::Pi()); fhphiClustersLay1->SetDirectory(0); // fhClustersDPhiInterpAcc = new TH1F("dphiaccInterp", "dphi Interpolation phase", 100,0.,0.1); fhClustersDPhiInterpAcc->SetDirectory(0); fhClustersDThetaInterpAcc = new TH1F("dthetaaccInterp","dtheta Interpolation phase",100,-0.1,0.1); fhClustersDThetaInterpAcc->SetDirectory(0); fhClustersDZetaInterpAcc = new TH1F("dzetaaccInterp","dzeta Interpolation phase",100,-1.,1.); fhClustersDZetaInterpAcc->SetDirectory(0); fhDPhiVsDZetaInterpAcc = new TH2F("dphiVsDzetaaccInterp","dphiVsDzeta Interpolation phase",100,-1.,1.,100,0.,0.1); fhDPhiVsDZetaInterpAcc->SetDirectory(0); fhDPhiVsDThetaInterpAcc = new TH2F("dphiVsDthetaAccInterp","dphiVsDtheta Interpolation phase",100,-0.1,0.1,100,0.,0.1); fhDPhiVsDThetaInterpAcc->SetDirectory(0); fhClustersDPhiInterpAll = new TH1F("dphiallInterp", "dphi Interpolation phase", 100,0.0,0.5); fhClustersDPhiInterpAll->SetDirectory(0); fhClustersDThetaInterpAll = new TH1F("dthetaallInterp","dtheta Interpolation phase",100,-0.5,0.5); fhClustersDThetaInterpAll->SetDirectory(0); fhClustersDZetaInterpAll = new TH1F("dzetaallInterp","dzeta Interpolation phase",100,-5.,5.); fhClustersDZetaInterpAll->SetDirectory(0); fhDPhiVsDZetaInterpAll = new TH2F("dphiVsDzetaallInterp","dphiVsDzeta Interpolation phase",100,-5.,5.,100,0.,0.5); fhDPhiVsDZetaInterpAll->SetDirectory(0); fhDPhiVsDThetaInterpAll = new TH2F("dphiVsDthetaAllInterp","dphiVsDtheta Interpolation phase",100,-0.5,0.5,100,0.,0.5); fhDPhiVsDThetaInterpAll->SetDirectory(0); fhetaClustersLay2 = new TH1F("etaClustersLay2", "etaCl2", 100,-2.,2.); fhetaClustersLay2->SetDirectory(0); fhphiClustersLay2 = new TH1F("phiClustersLay2", "phiCl2", 100, 0., 2*TMath::Pi()); fhphiClustersLay2->SetDirectory(0); fhClustersInChip = new TH1F("fhClustersInChip", "ClustersPerChip", 1200, -0.5, 1199.5); fhClustersInChip->SetDirectory(0); // each chip is divided 8(z) x 4(y), i.e. in 32 squares, each containing 4 columns and 64 rows. Float_t bz[160]; const Float_t kconv = 1.0E-04; // converts microns to cm. for(Int_t i=0;i<160;i++) bz[i] = 425.0; // most are 425 microns except below bz[ 31] = bz[ 32] = 625.0; // first chip boundry bz[ 63] = bz[ 64] = 625.0; // first chip boundry bz[ 95] = bz[ 96] = 625.0; // first chip boundry bz[127] = bz[128] = 625.0; // first chip boundry Double_t xbins[41]; // each bin in x (Z loc coordinate) includes 4 columns //xbins[0]=0; Float_t xmn,xmx,zmn,zmx; if(!fPlaneEffSPD->GetBlockBoundaries(0,xmn,xmx,zmn,zmx)) AliWarning("Could not book histo properly"); xbins[0]=(Double_t)zmn; for(Int_t i=0;i<40;i++) { xbins[i+1]=xbins[i] + (bz[4*i]+bz[4*i+1]+bz[4*i+2]+bz[4*i+3])*kconv; } TString histname="ClustersLay1_mod_",aux; fhClustersInModuleLay1 =new TH2F*[80]; for (Int_t nhist=0;nhist<80;nhist++){ aux=histname; aux+=nhist; // fhClustersInModuleLay1[nhist]=new TH2F("histname","histname",40,xbins,4,(Double_t)xmn,(Double_t)xmx); fhClustersInModuleLay1[nhist]->SetName(aux.Data()); fhClustersInModuleLay1[nhist]->SetTitle(aux.Data()); fhClustersInModuleLay1[nhist]->SetDirectory(0); } histname="ClustersLay2_mod_"; fhClustersInModuleLay2 =new TH2F*[160]; for (Int_t nhist=0;nhist<160;nhist++){ aux=histname; aux+=nhist; fhClustersInModuleLay2[nhist]=new TH2F("histname","histname",40,xbins,4,(Double_t)xmn,(Double_t)xmx); fhClustersInModuleLay2[nhist]->SetName(aux.Data()); fhClustersInModuleLay2[nhist]->SetTitle(aux.Data()); fhClustersInModuleLay2[nhist]->SetDirectory(0); } // return; } //____________________________________________________________ void AliITSTrackleterSPDEff::DeleteHistos() { // // Private method to delete Histograms from memory // it is called. e.g., by the destructor. // // form AliITSMultReconstructor if(fhClustersDPhiAcc) {delete fhClustersDPhiAcc; fhClustersDPhiAcc=0;} if(fhClustersDThetaAcc) {delete fhClustersDThetaAcc; fhClustersDThetaAcc=0;} if(fhClustersDZetaAcc) {delete fhClustersDZetaAcc; fhClustersDZetaAcc=0;} if(fhClustersDPhiAll) {delete fhClustersDPhiAll; fhClustersDPhiAll=0;} if(fhClustersDThetaAll) {delete fhClustersDThetaAll; fhClustersDThetaAll=0;} if(fhClustersDZetaAll) {delete fhClustersDZetaAll; fhClustersDZetaAll=0;} if(fhDPhiVsDThetaAll) {delete fhDPhiVsDThetaAll; fhDPhiVsDThetaAll=0;} if(fhDPhiVsDThetaAcc) {delete fhDPhiVsDThetaAcc; fhDPhiVsDThetaAcc=0;} if(fhDPhiVsDZetaAll) {delete fhDPhiVsDZetaAll; fhDPhiVsDZetaAll=0;} if(fhDPhiVsDZetaAcc) {delete fhDPhiVsDZetaAcc; fhDPhiVsDZetaAcc=0;} if(fhetaTracklets) {delete fhetaTracklets; fhetaTracklets=0;} if(fhphiTracklets) {delete fhphiTracklets; fhphiTracklets=0;} if(fhetaClustersLay1) {delete fhetaClustersLay1; fhetaClustersLay1=0;} if(fhphiClustersLay1) {delete fhphiClustersLay1; fhphiClustersLay1=0;} // if(fhClustersDPhiInterpAcc) {delete fhClustersDPhiInterpAcc; fhClustersDPhiInterpAcc=0;} if(fhClustersDThetaInterpAcc) {delete fhClustersDThetaInterpAcc; fhClustersDThetaInterpAcc=0;} if(fhClustersDZetaInterpAcc) {delete fhClustersDZetaInterpAcc; fhClustersDZetaInterpAcc=0;} if(fhClustersDPhiInterpAll) {delete fhClustersDPhiInterpAll; fhClustersDPhiInterpAll=0;} if(fhClustersDThetaInterpAll) {delete fhClustersDThetaInterpAll; fhClustersDThetaInterpAll=0;} if(fhClustersDZetaInterpAll) {delete fhClustersDZetaInterpAll; fhClustersDZetaInterpAll=0;} if(fhDPhiVsDThetaInterpAll) {delete fhDPhiVsDThetaInterpAll; fhDPhiVsDThetaInterpAll=0;} if(fhDPhiVsDThetaInterpAcc) {delete fhDPhiVsDThetaInterpAcc; fhDPhiVsDThetaInterpAcc=0;} if(fhDPhiVsDZetaInterpAll) {delete fhDPhiVsDZetaInterpAll; fhDPhiVsDZetaInterpAll=0;} if(fhDPhiVsDZetaInterpAcc) {delete fhDPhiVsDZetaInterpAcc; fhDPhiVsDZetaInterpAcc=0;} if(fhetaClustersLay2) {delete fhetaClustersLay2; fhetaClustersLay2=0;} if(fhphiClustersLay2) {delete fhphiClustersLay2; fhphiClustersLay2=0;} if(fhClustersInChip) {delete fhClustersInChip; fhClustersInChip=0;} if(fhClustersInModuleLay1) { for (Int_t i=0; i<80; i++ ) delete fhClustersInModuleLay1[i]; delete [] fhClustersInModuleLay1; fhClustersInModuleLay1=0; } if(fhClustersInModuleLay2) { for (Int_t i=0; i<160; i++ ) delete fhClustersInModuleLay2[i]; delete [] fhClustersInModuleLay2; fhClustersInModuleLay2=0; } } //_______________________________________________________________ Bool_t AliITSTrackleterSPDEff::IsReconstructableAt(Int_t layer,Int_t iC,Int_t ipart, const Float_t* vtx, const AliStack *stack, TTree *ref) { // This (private) method can be used only for MC events, where both AliStack and the TrackReference // are available. // It is used to asses whether a tracklet prediction is reconstructable or not at the other layer // Input: // - Int_t layer (either 0 or 1): layer which you want to check if the tracklete can be // reconstructed at // - Int_t iC : cluster index used to build the tracklet prediction // if layer=0 ==> iC=iC2 ; elseif layer=1 ==> iC=iC1 // - Float_t* vtx: actual event vertex // - stack: pointer to Stack // - ref: pointer to TTRee of TrackReference Bool_t ret=kFALSE; // returned value Float_t trefLayExtr[3]; // equivalent to fClustersLay1/fClustersLay2 but for the track reference if(!fMC) {AliError("This method works only if SetMC() has been called"); return ret;} if(!stack) {AliError("null pointer to MC stack"); return ret;} if(!ref) {AliError("null pointer to TrackReference Tree"); return ret;} if(ipart >= stack->GetNtrack()) {AliError("this track label is not in MC stack"); return ret;} if(layer<0 || layer>1) {AliError("You can extrapolate either at lay 0 or at lay 1"); return ret;} AliTrackReference *tref=0x0; Int_t imatch=-100; // index of the track in TrackReference which matches with ipart Int_t nentries = (Int_t)ref->GetEntries(); TClonesArray *tcaRef = new TClonesArray("AliTrackReference"); TBranch *br = ref->GetBranch("TrackReferences"); br->SetAddress(&tcaRef); for(Int_t itrack=0;itrack<nentries;itrack++) { // loop over all Tracks in TrackReference to match the ipart one br->GetEntry(itrack); Int_t nref=tcaRef->GetEntriesFast(); if(nref>0) { //it is enough to look at the first one tref=(AliTrackReference*)tcaRef->At(0); // it is enough to look at the first one if(tref->GetTrack()==ipart) {imatch=itrack; break;} } } if(imatch<0) {AliWarning(Form("Could not find AliTrackReference for particle %d",ipart)); return kFALSE;} br->GetEntry(imatch); // redundant, nevertheless ... Int_t nref=tcaRef->GetEntriesFast(); for(Int_t iref=0;iref<nref;iref++) { // loop over all the refs of the matching track tref=(AliTrackReference*)tcaRef->At(iref); if(tref->R()>10) continue; // not SPD ref if(layer==0 && tref->R()>5) continue; // ref on SPD outer layer if(layer==1 && tref->R()<5) continue; // ref on SPD inner layer // compute the proper quantities for this tref, as was done for fClustersLay1/2 Float_t x = tref->X() - vtx[0]; Float_t y = tref->Y() - vtx[1]; Float_t z = tref->Z() - vtx[2]; Float_t r = TMath::Sqrt(x*x + y*y +z*z); trefLayExtr[0] = TMath::ACos(z/r); // Store Theta trefLayExtr[1] = TMath::Pi() + TMath::ATan2(-y,-x); // Store Phi trefLayExtr[2] = z; // Store z if(layer==1) { // try to see if it is reconstructable at the outer layer // find the difference in angles Float_t dPhi = TMath::Abs(trefLayExtr[1] - fClustersLay1[iC][1]); // take into account boundary condition if (dPhi>TMath::Pi()) dPhi=2.*TMath::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 = trefLayExtr[2]/TMath::Cos(trefLayExtr[0]); Float_t dZeta = TMath::Cos(fClustersLay1[iC][0])*r2 - trefLayExtr[2]; // make "elliptical" cut in Phi and Zeta! Float_t d = TMath::Sqrt(dPhi*dPhi/fPhiWindowL2/fPhiWindowL2 + dZeta*dZeta/fZetaWindowL2/fZetaWindowL2); if (d<1) {ret=kTRUE; break;} } if(layer==0) { // try to see if it is reconstructable at the inner layer // find the difference in angles Float_t dPhi = TMath::Abs(fClustersLay2[iC][1] - trefLayExtr[1]); // take into account boundary condition if (dPhi>TMath::Pi()) dPhi=2.*TMath::Pi()-dPhi; // find the difference in z (between linear projection from layer 2 // and the actual point: Dzeta= z2/r2*r1 -z1) Float_t r1 = trefLayExtr[2]/TMath::Cos(trefLayExtr[0]); Float_t dZeta = TMath::Cos(fClustersLay2[iC][0])*r1 - trefLayExtr[2]; // make "elliptical" cut in Phi and Zeta! Float_t d = TMath::Sqrt(dPhi*dPhi/fPhiWindowL1/fPhiWindowL1 + dZeta*dZeta/fZetaWindowL1/fZetaWindowL1); if (d<1) {ret=kTRUE; break;}; } } delete tcaRef; return ret; } //_________________________________________________________________________ void AliITSTrackleterSPDEff::ReflectClusterAroundZAxisForLayer(Int_t ilayer){ // // this method apply a rotation by 180 degree around the Z (beam) axis to all // the RecPoints in a given layer to be used to build tracklets. // **************** VERY IMPORTANT:: *************** // It must be called just after LoadClusterArrays, since afterwards the datamember // fClustersLay1[iC1][0] and fClustersLay1[iC1][1] are redefined using polar coordinate // instead of Cartesian // if(ilayer<0 || ilayer>1) {AliInfo("Input argument (ilayer) should be either 0 or 1: nothing done"); return ;} AliDebug(3,Form("Applying a rotation by 180 degree around z axiz to all clusters on layer %d",ilayer)); if(ilayer==0) { for (Int_t iC1=0; iC1<fNClustersLay1; iC1++) { fClustersLay1[iC1][0]*=-1; fClustersLay1[iC1][1]*=-1; } } if(ilayer==1) { for (Int_t iC2=0; iC2<fNClustersLay2; iC2++) { fClustersLay2[iC2][0]*=-1; fClustersLay2[iC2][1]*=-1; } } return; } //____________________________________________________________________________ Int_t AliITSTrackleterSPDEff::Clusters2Tracks(AliESDEvent *esd){ // This method is used to find the tracklets. // It is called from AliReconstruction // The vertex is supposed to be associated to the Tracker (i.e. to this) already // The cluster is supposed to be associated to the Tracker already // In case Monte Carlo is required, the appropriate linking to Stack and TrackRef is attempted // Int_t rc=1; // apply cuts on the vertex quality const AliESDVertex *vertex = esd->GetVertex(); if(vertex->GetNContributors()<fMinContVtx) return 0; // AliRunLoader* runLoader = AliRunLoader::Instance(); if (!runLoader) { Error("Clusters2Tracks", "no run loader found"); return rc; } AliStack *pStack=0x0; TTree *tRefTree=0x0; if(GetMC()) { runLoader->LoadKinematics("read"); runLoader->LoadTrackRefs("read"); pStack= runLoader->Stack(); tRefTree= runLoader->TreeTR(); } Reconstruct(pStack,tRefTree); if (GetLightBkgStudyInParallel()) { AliStack *dummy1=0x0; TTree *dummy2=0x0; ReflectClusterAroundZAxisForLayer(1); Reconstruct(dummy1,dummy2,kTRUE); } return 0; } //____________________________________________________________________________ Int_t AliITSTrackleterSPDEff::PostProcess(AliESDEvent *){ // // It is called from AliReconstruction // // // // Int_t rc=0; if(GetMC()) SavePredictionMC("TrackletsMCpred.root"); if(GetHistOn()) rc=(Int_t)WriteHistosToFile(); if(GetLightBkgStudyInParallel()) { TString name="AliITSPlaneEffSPDtrackletBkg.root"; TFile* pefile = TFile::Open(name, "RECREATE"); rc*=fPlaneEffBkg->Write(); pefile->Close(); } return rc; } //____________________________________________________________________ void AliITSTrackleterSPDEff::LoadClusterArrays(TTree* itsClusterTree) { // This method // - gets the clusters from the cluster tree // - convert them into global coordinates // - store them in the internal arrays // - count the number of cluster-fired chips //AliDebug(1,"Loading clusters and cluster-fired chips ..."); fNClustersLay1 = 0; fNClustersLay2 = 0; TClonesArray* itsClusters = new TClonesArray("AliITSRecPoint"); TBranch* itsClusterBranch=itsClusterTree->GetBranch("ITSRecPoints"); itsClusterBranch->SetAddress(&itsClusters); Int_t nItsSubs = (Int_t)itsClusterTree->GetEntries(); Float_t cluGlo[3]={0.,0.,0.}; // loop over the its subdetectors for (Int_t iIts=0; iIts < nItsSubs; iIts++) { if (!itsClusterTree->GetEvent(iIts)) continue; Int_t nClusters = itsClusters->GetEntriesFast(); // number of clusters in each chip of the current module Int_t layer = 0; // loop over clusters while(nClusters--) { AliITSRecPoint* cluster = (AliITSRecPoint*)itsClusters->UncheckedAt(nClusters); layer = cluster->GetLayer(); if (layer>1) continue; cluster->GetGlobalXYZ(cluGlo); Float_t x = cluGlo[0]; Float_t y = cluGlo[1]; Float_t z = cluGlo[2]; if (layer==0) { fClustersLay1[fNClustersLay1][0] = x; fClustersLay1[fNClustersLay1][1] = y; fClustersLay1[fNClustersLay1][2] = z; for (Int_t i=0; i<3; i++) fClustersLay1[fNClustersLay1][3+i] = cluster->GetLabel(i); fNClustersLay1++; if(fHistOn) { Int_t det=cluster->GetDetectorIndex(); if(det<0 || det>79) {AliError("Cluster with det. index out of boundaries"); return;} fhClustersInModuleLay1[det]->Fill((Double_t)cluster->GetDetLocalZ(),(Double_t)cluster->GetDetLocalX()); } } if (layer==1) { fClustersLay2[fNClustersLay2][0] = x; fClustersLay2[fNClustersLay2][1] = y; fClustersLay2[fNClustersLay2][2] = z; for (Int_t i=0; i<3; i++) fClustersLay2[fNClustersLay2][3+i] = cluster->GetLabel(i); fNClustersLay2++; if(fHistOn) { Int_t det=cluster->GetDetectorIndex(); if(det<0 || det>159) {AliError("Cluster with det. index out of boundaries"); return;} fhClustersInModuleLay2[det]->Fill((Double_t)cluster->GetDetLocalZ(),(Double_t)cluster->GetDetLocalX()); } } }// end of cluster loop } // end of its "subdetector" loop if (itsClusters) { itsClusters->Delete(); delete itsClusters; itsClusters = 0; } AliDebug(1,Form("(clusters in layer 1 : %d, layer 2: %d)",fNClustersLay1,fNClustersLay2)); } //_________________________________________________________________________ void AliITSTrackleterSPDEff::SetLightBkgStudyInParallel(Bool_t b) { // This method: // - set Bool_t fLightBackgroundStudyInParallel = b // a) if you set this kTRUE, then the estimation of the // SPD efficiency is done as usual for data, but in // parallel a light (i.e. without control histograms, etc.) // evaluation of combinatorial background is performed // with the usual ReflectClusterAroundZAxisForLayer method. // b) if you set this kFALSE, then you would not have a second // container for PlaneEfficiency statistics to be used for background // (fPlaneEffBkg=0). If you want to have a full evaluation of the // background (with all control histograms and additional data // members referring to the background) then you have to call the // method SetReflectClusterAroundZAxisForLayer(kTRUE) esplicitily fLightBkgStudyInParallel=b; if(fLightBkgStudyInParallel) { if(!fPlaneEffBkg) fPlaneEffBkg = new AliITSPlaneEffSPD(); } else { delete fPlaneEffBkg; fPlaneEffBkg=0; } } //______________________________________________________________ void AliITSTrackleterSPDEff::SetReflectClusterAroundZAxisForLayer(Int_t ilayer,Bool_t b){ // // method to study residual background: // Input b= KTRUE --> reflect the clusters // ilayer (either 0 or 1) --> which SPD layers should be reflected // if(b) {AliInfo(Form("All clusters on layer %d will be rotated by 180 deg around z",ilayer)); SetLightBkgStudyInParallel(kFALSE);} if(ilayer==0) fReflectClusterAroundZAxisForLayer0=b; // a rotation by 180degree around the Z axis else if(ilayer==1) fReflectClusterAroundZAxisForLayer1=b; // (x->-x; y->-y) to all RecPoints on a else AliInfo("Nothing done: input argument (ilayer) either 0 or 1"); // given layer is applied. In such a way }
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