/************************************************************************** * Copyright(c) 1998-1999, 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. * **************************************************************************/ /* $Id$ */ //----------------------------------------------------------------------------- /// \class AliMUONTrackReconstructorK /// /// MUON track reconstructor using the kalman method /// /// This class contains as data: /// - the parameters for the track reconstruction /// /// It contains as methods, among others: /// - MakeTracks to build the tracks /// //----------------------------------------------------------------------------- #include "AliMUONTrackReconstructorK.h" #include "AliMUONConstants.h" #include "AliMUONVCluster.h" #include "AliMUONVClusterServer.h" #include "AliMUONVClusterStore.h" #include "AliMUONTrack.h" #include "AliMUONTrackParam.h" #include "AliMUONTrackExtrap.h" #include "AliMUONRecoParam.h" #include "AliMpArea.h" #include "AliLog.h" #include #include #include /// \cond CLASSIMP ClassImp(AliMUONTrackReconstructorK) // Class implementation in ROOT context /// \endcond //__________________________________________________________________________ AliMUONTrackReconstructorK::AliMUONTrackReconstructorK(const AliMUONRecoParam* recoParam, AliMUONVClusterServer* clusterServer) : AliMUONVTrackReconstructor(recoParam, clusterServer) { /// Constructor } //__________________________________________________________________________ AliMUONTrackReconstructorK::~AliMUONTrackReconstructorK() { /// Destructor } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::MakeTrackCandidates(AliMUONVClusterStore& clusterStore) { /// To make track candidates (assuming linear propagation if AliMUONRecoParam::MakeTrackCandidatesFast() return kTRUE): /// Start with segments station(1..) 4 or 5 then follow track in station 5 or 4. /// Good candidates are made of at least three clusters if both stations are requested (two otherwise). /// Keep only best candidates or all of them according to the flag AliMUONRecoParam::TrackAllTracks(). TClonesArray *segments; AliMUONObjectPair *segment; AliMUONTrack *track; Int_t iCandidate = 0; Bool_t clusterFound; AliDebug(1,"Enter MakeTrackCandidates"); // Unless we're doing combined tracking, we'll clusterize all stations at once Int_t firstChamber(0); Int_t lastChamber(9); if (GetRecoParam()->CombineClusterTrackReco()) { // ... Here's the exception : ask the clustering to reconstruct // clusters *only* in station 4 and 5 for combined tracking firstChamber = 6; } for (Int_t i = firstChamber; i <= lastChamber; ++i ) { if (fClusterServer && GetRecoParam()->UseChamber(i)) fClusterServer->Clusterize(i, clusterStore, AliMpArea(), GetRecoParam()); } // Loop over stations(1..) 5 and 4 and make track candidates for (Int_t istat=4; istat>=3; istat--) { // Make segments in the station segments = MakeSegmentsBetweenChambers(clusterStore, 2*istat, 2*istat+1); // Loop over segments for (Int_t iSegment=0; iSegmentGetEntriesFast(); iSegment++) { AliDebug(1,Form("Making primary candidate(1..) %d",++iCandidate)); segment = (AliMUONObjectPair*) segments->UncheckedAt(iSegment); // Transform segments to tracks and put them at the end of fRecTracksPtr track = new ((*fRecTracksPtr)[fRecTracksPtr->GetLast()+1]) AliMUONTrack(segment,GetRecoParam()->GetBendingVertexDispersion()); fNRecTracks++; // Look for compatible cluster(s) in the other station if (GetRecoParam()->MakeTrackCandidatesFast()) clusterFound = FollowLinearTrackInStation(*track, clusterStore, 7-istat); else clusterFound = FollowTrackInStation(*track, clusterStore, 7-istat); // Remove track if no cluster found on a requested station // or abort tracking if there are too many candidates if (GetRecoParam()->RequestStation(7-istat)) { if (!clusterFound) { fRecTracksPtr->Remove(track); fNRecTracks--; } else if (fNRecTracks > GetRecoParam()->GetMaxTrackCandidates()) { AliError(Form("Too many track candidates (%d tracks). Stop tracking.", fNRecTracks)); delete segments; return kFALSE; } } else { if ((fNRecTracks + segments->GetEntriesFast() - iSegment - 1) > GetRecoParam()->GetMaxTrackCandidates()) { AliError(Form("Too many track candidates (%d tracks). Stop tracking.", fNRecTracks + segments->GetEntriesFast() - iSegment - 1)); delete segments; return kFALSE; } } } // delete the array of segments delete segments; } // Keep all different tracks if required if (GetRecoParam()->TrackAllTracks()) RemoveIdenticalTracks(); // Retrace tracks using Kalman filter and select them if needed Int_t nCurrentTracks = fRecTracksPtr->GetLast()+1; for (Int_t iRecTrack = 0; iRecTrack < nCurrentTracks; iRecTrack++) { track = (AliMUONTrack*) fRecTracksPtr->UncheckedAt(iRecTrack); // skip empty slots if(!track) continue; // retrace tracks using Kalman filter and remove the ones for which extrap failed or that are out of limits if (!RetraceTrack(*track,kTRUE) || !IsAcceptable(*((AliMUONTrackParam*)track->GetTrackParamAtCluster()->First()))) { fRecTracksPtr->Remove(track); fNRecTracks--; } } // Keep only the best tracks if required if (!GetRecoParam()->TrackAllTracks()) RemoveDoubleTracks(); else fRecTracksPtr->Compress(); AliDebug(1,Form("Number of good candidates = %d",fNRecTracks)); return kTRUE; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::MakeMoreTrackCandidates(AliMUONVClusterStore& clusterStore) { /// To make extra track candidates assuming linear propagation: /// clustering is supposed to be already done /// Start with segments made of 1 cluster in each of the stations 4 and 5 then follow track in remaining chambers. /// Good candidates are made of at least three clusters if both stations are requested (two otherwise). /// Keep only best candidates or all of them according to the flag fgkTrackAllTracks. TClonesArray *segments; AliMUONObjectPair *segment; AliMUONTrack *track; Int_t iCandidate = 0, iCurrentTrack, nCurrentTracks; Int_t initialNRecTracks = fNRecTracks; Bool_t clusterFound; AliDebug(1,"Enter MakeMoreTrackCandidates"); // Double loop over chambers in stations(1..) 4 and 5 to make track candidates for (Int_t ich1 = 6; ich1 <= 7; ich1++) { for (Int_t ich2 = 8; ich2 <= 9; ich2++) { // Make segments between ch1 and ch2 segments = MakeSegmentsBetweenChambers(clusterStore, ich1, ich2); /// Remove segments already attached to a track RemoveUsedSegments(*segments); // Loop over segments for (Int_t iSegment=0; iSegmentGetEntriesFast(); iSegment++) { AliDebug(1,Form("Making primary candidate(1..) %d",++iCandidate)); segment = (AliMUONObjectPair*) segments->UncheckedAt(iSegment); // Transform segments to tracks and put them at the end of fRecTracksPtr iCurrentTrack = fRecTracksPtr->GetLast()+1; track = new ((*fRecTracksPtr)[iCurrentTrack]) AliMUONTrack(segment,GetRecoParam()->GetBendingVertexDispersion()); fNRecTracks++; // Look for compatible cluster(s) in the second chamber of station 5 clusterFound = FollowLinearTrackInChamber(*track, clusterStore, 17-ich2); // skip the original track in case it has been removed if (GetRecoParam()->TrackAllTracks() && clusterFound) iCurrentTrack++; // loop over every new tracks nCurrentTracks = fRecTracksPtr->GetLast()+1; while (iCurrentTrack < nCurrentTracks) { track = (AliMUONTrack*) fRecTracksPtr->UncheckedAt(iCurrentTrack); // Look for compatible cluster(s) in the second chamber of station 4 FollowLinearTrackInChamber(*track, clusterStore, 13-ich1); iCurrentTrack++; } // abort tracking if there are too many candidates if ((fNRecTracks + segments->GetEntriesFast() - iSegment - 1) > GetRecoParam()->GetMaxTrackCandidates()) { AliError(Form("Too many track candidates (%d tracks). Stop tracking.", fNRecTracks + segments->GetEntriesFast() - iSegment - 1)); delete segments; return kFALSE; } } // delete the array of segments delete segments; } } // Retrace tracks using Kalman filter (also compute track chi2) and select them nCurrentTracks = fRecTracksPtr->GetLast()+1; for (Int_t iRecTrack = initialNRecTracks; iRecTrack < nCurrentTracks; iRecTrack++) { track = (AliMUONTrack*) fRecTracksPtr->UncheckedAt(iRecTrack); // skip empty slots if(!track) continue; // retrace tracks using Kalman filter and remove the ones for which extrap failed or that are out of limits if (!RetraceTrack(*track,kTRUE) || !IsAcceptable(*((AliMUONTrackParam*)track->GetTrackParamAtCluster()->First()))) { fRecTracksPtr->Remove(track); fNRecTracks--; } } // Keep only the best tracks if required if (!GetRecoParam()->TrackAllTracks()) RemoveDoubleTracks(); else fRecTracksPtr->Compress(); AliDebug(1,Form("Number of good candidates = %d",fNRecTracks)); return kTRUE; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::RetraceTrack(AliMUONTrack &trackCandidate, Bool_t resetSeed) { /// Re-run the kalman filter from the most downstream cluster to the most uptream one /// Return kFALSE in case of failure (i.e. extrapolation problem) AliDebug(1,"Enter RetraceTrack"); AliMUONTrackParam* lastTrackParam = (AliMUONTrackParam*) trackCandidate.GetTrackParamAtCluster()->Last(); // Reset the "seed" (= track parameters and their covariances at last cluster) if required if (resetSeed) { // parameters at last cluster AliMUONVCluster* cluster2 = lastTrackParam->GetClusterPtr(); Double_t x2 = cluster2->GetX(); Double_t y2 = cluster2->GetY(); Double_t z2 = cluster2->GetZ(); // parameters at last but one cluster AliMUONTrackParam* previousTrackParam = (AliMUONTrackParam*) trackCandidate.GetTrackParamAtCluster()->Before(lastTrackParam); AliMUONVCluster* cluster1 = previousTrackParam->GetClusterPtr(); // make sure it is on the previous chamber (can have 2 clusters in the same chamber after "ComplementTrack") if (cluster2->GetChamberId() == cluster1->GetChamberId()) { previousTrackParam = (AliMUONTrackParam*) trackCandidate.GetTrackParamAtCluster()->Before(previousTrackParam); cluster1 = previousTrackParam->GetClusterPtr(); } Double_t x1 = cluster1->GetX(); Double_t y1 = cluster1->GetY(); Double_t z1 = cluster1->GetZ(); // reset track parameters Double_t dZ = z1 - z2; lastTrackParam->SetNonBendingCoor(x2); lastTrackParam->SetBendingCoor(y2); lastTrackParam->SetZ(z2); lastTrackParam->SetNonBendingSlope((x1 - x2) / dZ); lastTrackParam->SetBendingSlope((y1 - y2) / dZ); Double_t bendingImpact = y2 - z2 * lastTrackParam->GetBendingSlope(); Double_t inverseBendingMomentum = 1. / AliMUONTrackExtrap::GetBendingMomentumFromImpactParam(bendingImpact); lastTrackParam->SetInverseBendingMomentum(inverseBendingMomentum); // => Reset track parameter covariances at last cluster (as if the other clusters did not exist) TMatrixD lastParamCov(5,5); lastParamCov.Zero(); // Non bending plane lastParamCov(0,0) = cluster2->GetErrX2(); lastParamCov(0,1) = - cluster2->GetErrX2() / dZ; lastParamCov(1,0) = lastParamCov(0,1); lastParamCov(1,1) = ( 1000. * cluster1->GetErrX2() + cluster2->GetErrX2() ) / dZ / dZ; // Bending plane lastParamCov(2,2) = cluster2->GetErrY2(); lastParamCov(2,3) = - cluster2->GetErrY2() / dZ; lastParamCov(3,2) = lastParamCov(2,3); lastParamCov(3,3) = ( 1000. * cluster1->GetErrY2() + cluster2->GetErrY2() ) / dZ / dZ; // Inverse bending momentum (vertex resolution + bending slope resolution + 10% error on dipole parameters+field) if (AliMUONTrackExtrap::IsFieldON()) { lastParamCov(4,4) = ((GetRecoParam()->GetBendingVertexDispersion() * GetRecoParam()->GetBendingVertexDispersion() + (z1 * z1 * cluster2->GetErrY2() + z2 * z2 * 1000. * cluster1->GetErrY2()) / dZ / dZ) / bendingImpact / bendingImpact + 0.1 * 0.1) * inverseBendingMomentum * inverseBendingMomentum; lastParamCov(2,4) = z1 * cluster2->GetErrY2() * inverseBendingMomentum / bendingImpact / dZ; lastParamCov(4,2) = lastParamCov(2,4); lastParamCov(3,4) = - (z1 * cluster2->GetErrY2() + z2 * 1000. * cluster1->GetErrY2()) * inverseBendingMomentum / bendingImpact / dZ / dZ; lastParamCov(4,3) = lastParamCov(3,4); } else lastParamCov(4,4) = inverseBendingMomentum*inverseBendingMomentum; lastTrackParam->SetCovariances(lastParamCov); // Reset the track chi2 lastTrackParam->SetTrackChi2(0.); } // Redo the tracking return RetracePartialTrack(trackCandidate, lastTrackParam); } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::RetracePartialTrack(AliMUONTrack &trackCandidate, const AliMUONTrackParam* startingTrackParam) { /// Re-run the kalman filter from the cluster attached to startingTrackParam to the most uptream cluster /// Return kFALSE in case of failure (i.e. extrapolation problem) AliDebug(1,"Enter RetracePartialTrack"); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "RetracePartialTrack: track chi2 before re-tracking: " << trackCandidate.GetGlobalChi2() << endl; } // Reset the track chi2 trackCandidate.SetGlobalChi2(startingTrackParam->GetTrackChi2()); // loop over attached clusters until the first one and recompute track parameters and covariances using kalman filter Bool_t extrapStatus = kTRUE; Int_t expectedChamber = startingTrackParam->GetClusterPtr()->GetChamberId() - 1; Int_t currentChamber; Double_t addChi2TrackAtCluster; AliMUONTrackParam* trackParamAtCluster = (AliMUONTrackParam*) trackCandidate.GetTrackParamAtCluster()->Before(startingTrackParam); while (trackParamAtCluster) { // reset track parameters and their covariances trackParamAtCluster->SetParameters(startingTrackParam->GetParameters()); trackParamAtCluster->SetZ(startingTrackParam->GetZ()); trackParamAtCluster->SetCovariances(startingTrackParam->GetCovariances()); // add MCS effect AliMUONTrackExtrap::AddMCSEffect(trackParamAtCluster,AliMUONConstants::ChamberThicknessInX0(expectedChamber+1),-1.); // reset propagator for smoother if (GetRecoParam()->UseSmoother()) trackParamAtCluster->ResetPropagator(); // add MCS in missing chambers if any currentChamber = trackParamAtCluster->GetClusterPtr()->GetChamberId(); while (currentChamber < expectedChamber) { // extrapolation to the missing chamber (update the propagator) if (!AliMUONTrackExtrap::ExtrapToZCov(trackParamAtCluster, AliMUONConstants::DefaultChamberZ(expectedChamber), GetRecoParam()->UseSmoother())) extrapStatus = kFALSE; // add MCS effect AliMUONTrackExtrap::AddMCSEffect(trackParamAtCluster,AliMUONConstants::ChamberThicknessInX0(expectedChamber),-1.); expectedChamber--; } // extrapolation to the plane of the cluster attached to the current trackParamAtCluster (update the propagator) if (!AliMUONTrackExtrap::ExtrapToZCov(trackParamAtCluster, trackParamAtCluster->GetClusterPtr()->GetZ(), GetRecoParam()->UseSmoother())) extrapStatus = kFALSE; if (GetRecoParam()->UseSmoother()) { // save extrapolated parameters for smoother trackParamAtCluster->SetExtrapParameters(trackParamAtCluster->GetParameters()); // save extrapolated covariance matrix for smoother trackParamAtCluster->SetExtrapCovariances(trackParamAtCluster->GetCovariances()); } // Compute new track parameters using kalman filter addChi2TrackAtCluster = RunKalmanFilter(*trackParamAtCluster); // Update the track chi2 trackCandidate.SetGlobalChi2(trackCandidate.GetGlobalChi2() + addChi2TrackAtCluster); trackParamAtCluster->SetTrackChi2(trackCandidate.GetGlobalChi2()); // prepare next step expectedChamber = currentChamber - 1; startingTrackParam = trackParamAtCluster; trackParamAtCluster = (AliMUONTrackParam*) (trackCandidate.GetTrackParamAtCluster()->Before(startingTrackParam)); } // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "RetracePartialTrack: track chi2 after re-tracking: " << trackCandidate.GetGlobalChi2() << endl; } // set global chi2 to max value in case of problem during track extrapolation if (!extrapStatus) trackCandidate.SetGlobalChi2(2.*AliMUONTrack::MaxChi2()); return extrapStatus; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::FollowTracks(AliMUONVClusterStore& clusterStore) { /// Follow tracks in stations(1..) 3, 2 and 1 AliDebug(1,"Enter FollowTracks"); AliMUONTrack *track; Int_t currentNRecTracks; for (Int_t station = 2; station >= 0; station--) { // Save the actual number of reconstructed track in case of // tracks are added or suppressed during the tracking procedure // !! Do not compress fRecTracksPtr until the end of the loop over tracks !! currentNRecTracks = fNRecTracks; for (Int_t iRecTrack = 0; iRecTrack UncheckedAt(iRecTrack); // Look for compatible cluster(s) in station(0..) "station" if (!FollowTrackInStation(*track, clusterStore, station)) { // Try to recover track if required if (GetRecoParam()->RecoverTracks()) { // work on a copy of the track if this station is not required // to keep the case where no cluster is reconstructed as a possible candidate if (!GetRecoParam()->RequestStation(station)) { track = new ((*fRecTracksPtr)[fRecTracksPtr->GetLast()+1]) AliMUONTrack(*track); fNRecTracks++; } // try to recover if (!RecoverTrack(*track, clusterStore, station)) { // remove track if no cluster found fRecTracksPtr->Remove(track); fNRecTracks--; } } else if (GetRecoParam()->RequestStation(station)) { // remove track if no cluster found fRecTracksPtr->Remove(track); fNRecTracks--; } } // abort tracking if there are too many candidates if (GetRecoParam()->RequestStation(station)) { if (fNRecTracks > GetRecoParam()->GetMaxTrackCandidates()) { AliError(Form("Too many track candidates (%d tracks). Stop tracking.", fNRecTracks)); return kFALSE; } } else { if ((fNRecTracks + currentNRecTracks - iRecTrack - 1) > GetRecoParam()->GetMaxTrackCandidates()) { AliError(Form("Too many track candidates (%d tracks). Stop tracking.", fNRecTracks + currentNRecTracks - iRecTrack - 1)); return kFALSE; } } } fRecTracksPtr->Compress(); // this is essential before checking tracks // Keep only the best tracks if required if (!GetRecoParam()->TrackAllTracks()) RemoveDoubleTracks(); } return kTRUE; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::FollowTrackInChamber(AliMUONTrack &trackCandidate, AliMUONVClusterStore& clusterStore, Int_t nextChamber) { /// Follow trackCandidate in chamber(0..) nextChamber and search for compatible cluster(s) /// Keep all possibilities or only the best one(s) according to the flag fgkTrackAllTracks: /// kTRUE: duplicate "trackCandidate" if there are several possibilities and add the new tracks at the end of /// fRecTracksPtr to avoid conficts with other track candidates at this current stage of the tracking procedure. /// Remove the obsolete "trackCandidate" at the end. /// kFALSE: add only the best cluster(s) to the "trackCandidate". Try to add a couple of clusters in priority. /// return kTRUE if new cluster(s) have been found (otherwise return kFALSE) AliDebug(1,Form("Enter FollowTrackInChamber(1..) %d", nextChamber+1)); Double_t chi2OfCluster; Double_t maxChi2OfCluster = 2. * GetRecoParam()->GetSigmaCutForTracking() * GetRecoParam()->GetSigmaCutForTracking(); // 2 because 2 quantities in chi2 Double_t addChi2TrackAtCluster; Double_t bestAddChi2TrackAtCluster = AliMUONTrack::MaxChi2(); Bool_t foundOneCluster = kFALSE; AliMUONTrack *newTrack = 0x0; AliMUONVCluster *cluster; AliMUONTrackParam extrapTrackParamAtCh; AliMUONTrackParam extrapTrackParamAtCluster; AliMUONTrackParam bestTrackParamAtCluster; // Get track parameters according to the propagation direction if (nextChamber > 7) extrapTrackParamAtCh = *(AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->Last(); else extrapTrackParamAtCh = *(AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->First(); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 2) || (AliLog::GetGlobalDebugLevel() >= 2)) { cout<GetChamberId(); AliMUONTrackExtrap::AddMCSEffect(&extrapTrackParamAtCh,AliMUONConstants::ChamberThicknessInX0(currentChamber),-1.); // reset propagator for smoother if (GetRecoParam()->UseSmoother()) extrapTrackParamAtCh.ResetPropagator(); // Add MCS in the missing chamber(s) if any while (currentChamber > nextChamber + 1) { // extrapolation to the missing chamber currentChamber--; if (!AliMUONTrackExtrap::ExtrapToZCov(&extrapTrackParamAtCh, AliMUONConstants::DefaultChamberZ(currentChamber), GetRecoParam()->UseSmoother())) return kFALSE; // add MCS effect AliMUONTrackExtrap::AddMCSEffect(&extrapTrackParamAtCh,AliMUONConstants::ChamberThicknessInX0(currentChamber),-1.); } //Extrapolate trackCandidate to chamber if (!AliMUONTrackExtrap::ExtrapToZCov(&extrapTrackParamAtCh, AliMUONConstants::DefaultChamberZ(nextChamber), GetRecoParam()->UseSmoother())) return kFALSE; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 2) || (AliLog::GetGlobalDebugLevel() >= 2)) { cout<= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInChamber: look for clusters in chamber(1..): " << nextChamber+1 << endl; } // Ask the clustering to reconstruct new clusters around the track position in the current chamber // except for station 4 and 5 that are already entirely clusterized if (GetRecoParam()->CombineClusterTrackReco()) { if (nextChamber < 6) AskForNewClustersInChamber(extrapTrackParamAtCh, clusterStore, nextChamber); } // Create iterators to loop over clusters in both chambers TIter next(clusterStore.CreateChamberIterator(nextChamber,nextChamber)); // look for candidates in chamber while ( ( cluster = static_cast(next()) ) ) { // try to add the current cluster fast if (!TryOneClusterFast(extrapTrackParamAtCh, cluster)) continue; // try to add the current cluster accuratly chi2OfCluster = TryOneCluster(extrapTrackParamAtCh, cluster, extrapTrackParamAtCluster, GetRecoParam()->UseSmoother()); // if good chi2 then consider to add cluster if (chi2OfCluster < maxChi2OfCluster) { if (GetRecoParam()->UseSmoother()) { // save extrapolated parameters for smoother extrapTrackParamAtCluster.SetExtrapParameters(extrapTrackParamAtCluster.GetParameters()); // save extrapolated covariance matrix for smoother extrapTrackParamAtCluster.SetExtrapCovariances(extrapTrackParamAtCluster.GetCovariances()); } // Compute new track parameters including new cluster using kalman filter addChi2TrackAtCluster = RunKalmanFilter(extrapTrackParamAtCluster); // skip track out of limits if (!IsAcceptable(extrapTrackParamAtCluster)) continue; // remember a cluster was found foundOneCluster = kTRUE; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInChamber: found one cluster in chamber(1..): " << nextChamber+1 << " (Chi2 = " << chi2OfCluster << ")" << endl; cluster->Print(); } if (GetRecoParam()->TrackAllTracks()) { // copy trackCandidate into a new track put at the end of fRecTracksPtr and add the new cluster newTrack = new ((*fRecTracksPtr)[fRecTracksPtr->GetLast()+1]) AliMUONTrack(trackCandidate); UpdateTrack(*newTrack,extrapTrackParamAtCluster,addChi2TrackAtCluster); fNRecTracks++; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInChamber: added one cluster in chamber(1..): " << nextChamber+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else if (addChi2TrackAtCluster < bestAddChi2TrackAtCluster) { // keep track of the best cluster bestAddChi2TrackAtCluster = addChi2TrackAtCluster; bestTrackParamAtCluster = extrapTrackParamAtCluster; } } } // fill out the best track if required else clean up the fRecTracksPtr array if (!GetRecoParam()->TrackAllTracks()) { if (foundOneCluster) { UpdateTrack(trackCandidate,bestTrackParamAtCluster,bestAddChi2TrackAtCluster); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInChamber: added the best cluster in chamber(1..): " << bestTrackParamAtCluster.GetClusterPtr()->GetChamberId()+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else return kFALSE; } else if (foundOneCluster) { // remove obsolete track fRecTracksPtr->Remove(&trackCandidate); fNRecTracks--; } else return kFALSE; return kTRUE; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::FollowTrackInStation(AliMUONTrack &trackCandidate, AliMUONVClusterStore& clusterStore, Int_t nextStation) { /// Follow trackCandidate in station(0..) nextStation and search for compatible cluster(s) /// Keep all possibilities or only the best one(s) according to the flag fgkTrackAllTracks: /// kTRUE: duplicate "trackCandidate" if there are several possibilities and add the new tracks at the end of /// fRecTracksPtr to avoid conficts with other track candidates at this current stage of the tracking procedure. /// Remove the obsolete "trackCandidate" at the end. /// kFALSE: add only the best cluster(s) to the "trackCandidate". Try to add a couple of clusters in priority. /// return kTRUE if new cluster(s) have been found (otherwise return kFALSE) AliDebug(1,Form("Enter FollowTrackInStation(1..) %d", nextStation+1)); // Order the chamber according to the propagation direction (tracking starts with chamber 2): // - nextStation == station(1...) 5 => forward propagation // - nextStation < station(1...) 5 => backward propagation Int_t ch1, ch2; if (nextStation==4) { ch1 = 2*nextStation+1; ch2 = 2*nextStation; } else { ch1 = 2*nextStation; ch2 = 2*nextStation+1; } Double_t chi2OfCluster; Double_t maxChi2OfCluster = 2. * GetRecoParam()->GetSigmaCutForTracking() * GetRecoParam()->GetSigmaCutForTracking(); // 2 because 2 quantities in chi2 Double_t addChi2TrackAtCluster1; Double_t addChi2TrackAtCluster2; Double_t bestAddChi2TrackAtCluster1 = AliMUONTrack::MaxChi2(); Double_t bestAddChi2TrackAtCluster2 = AliMUONTrack::MaxChi2(); Bool_t foundOneCluster = kFALSE; Bool_t foundTwoClusters = kFALSE; AliMUONTrack *newTrack = 0x0; AliMUONVCluster *clusterCh1, *clusterCh2; AliMUONTrackParam extrapTrackParam; AliMUONTrackParam extrapTrackParamAtCh; AliMUONTrackParam extrapTrackParamAtCluster1; AliMUONTrackParam extrapTrackParamAtCluster2; AliMUONTrackParam bestTrackParamAtCluster1; AliMUONTrackParam bestTrackParamAtCluster2; // Get track parameters according to the propagation direction if (nextStation==4) extrapTrackParamAtCh = *(AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->Last(); else extrapTrackParamAtCh = *(AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->First(); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 2) || (AliLog::GetGlobalDebugLevel() >= 2)) { cout<GetChamberId(); AliMUONTrackExtrap::AddMCSEffect(&extrapTrackParamAtCh,AliMUONConstants::ChamberThicknessInX0(currentChamber),-1.); // reset propagator for smoother if (GetRecoParam()->UseSmoother()) extrapTrackParamAtCh.ResetPropagator(); // Add MCS in the missing chamber(s) if any while (ch1 < ch2 && currentChamber > ch2 + 1) { // extrapolation to the missing chamber currentChamber--; if (!AliMUONTrackExtrap::ExtrapToZCov(&extrapTrackParamAtCh, AliMUONConstants::DefaultChamberZ(currentChamber), GetRecoParam()->UseSmoother())) return kFALSE; // add MCS effect AliMUONTrackExtrap::AddMCSEffect(&extrapTrackParamAtCh,AliMUONConstants::ChamberThicknessInX0(currentChamber),-1.); } //Extrapolate trackCandidate to chamber "ch2" if (!AliMUONTrackExtrap::ExtrapToZCov(&extrapTrackParamAtCh, AliMUONConstants::DefaultChamberZ(ch2), GetRecoParam()->UseSmoother())) return kFALSE; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 2) || (AliLog::GetGlobalDebugLevel() >= 2)) { cout<= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: look for clusters in chamber(1..): " << ch2+1 << endl; } // Ask the clustering to reconstruct new clusters around the track position in the current station // except for station 4 and 5 that are already entirely clusterized if (GetRecoParam()->CombineClusterTrackReco()) { if (nextStation < 3) AskForNewClustersInStation(extrapTrackParamAtCh, clusterStore, nextStation); } Int_t nClusters = clusterStore.GetSize(); Bool_t *clusterCh1Used = new Bool_t[nClusters]; for (Int_t i = 0; i < nClusters; i++) clusterCh1Used[i] = kFALSE; Int_t iCluster1; // Create iterators to loop over clusters in both chambers TIter nextInCh1(clusterStore.CreateChamberIterator(ch1,ch1)); TIter nextInCh2(clusterStore.CreateChamberIterator(ch2,ch2)); // look for candidates in chamber 2 while ( ( clusterCh2 = static_cast(nextInCh2()) ) ) { // try to add the current cluster fast if (!TryOneClusterFast(extrapTrackParamAtCh, clusterCh2)) continue; // try to add the current cluster accuratly chi2OfCluster = TryOneCluster(extrapTrackParamAtCh, clusterCh2, extrapTrackParamAtCluster2, GetRecoParam()->UseSmoother()); // if good chi2 then try to attach a cluster in the other chamber too if (chi2OfCluster < maxChi2OfCluster) { if (GetRecoParam()->UseSmoother()) { // save extrapolated parameters for smoother extrapTrackParamAtCluster2.SetExtrapParameters(extrapTrackParamAtCluster2.GetParameters()); // save extrapolated covariance matrix for smoother extrapTrackParamAtCluster2.SetExtrapCovariances(extrapTrackParamAtCluster2.GetCovariances()); } // Compute new track parameters including "clusterCh2" using kalman filter addChi2TrackAtCluster2 = RunKalmanFilter(extrapTrackParamAtCluster2); // skip track out of limits if (!IsAcceptable(extrapTrackParamAtCluster2)) continue; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: found one cluster in chamber(1..): " << ch2+1 << " (Chi2 = " << chi2OfCluster << ")" << endl; clusterCh2->Print(); cout << " look for second clusters in chamber(1..): " << ch1+1 << " ..." << endl; } // copy new track parameters for next step extrapTrackParam = extrapTrackParamAtCluster2; // add MCS effect AliMUONTrackExtrap::AddMCSEffect(&extrapTrackParam,AliMUONConstants::ChamberThicknessInX0(ch2),-1.); // reset propagator for smoother if (GetRecoParam()->UseSmoother()) extrapTrackParam.ResetPropagator(); //Extrapolate track parameters to chamber "ch1" Bool_t normalExtrap = AliMUONTrackExtrap::ExtrapToZCov(&extrapTrackParam, AliMUONConstants::DefaultChamberZ(ch1), GetRecoParam()->UseSmoother()); // reset cluster iterator of chamber 1 nextInCh1.Reset(); iCluster1 = -1; // look for second candidates in chamber 1 Bool_t foundSecondCluster = kFALSE; if (normalExtrap) while ( ( clusterCh1 = static_cast(nextInCh1()) ) ) { iCluster1++; // try to add the current cluster fast if (!TryOneClusterFast(extrapTrackParam, clusterCh1)) continue; // try to add the current cluster accuratly chi2OfCluster = TryOneCluster(extrapTrackParam, clusterCh1, extrapTrackParamAtCluster1, GetRecoParam()->UseSmoother()); // if good chi2 then consider to add the 2 clusters to the "trackCandidate" if (chi2OfCluster < maxChi2OfCluster) { if (GetRecoParam()->UseSmoother()) { // save extrapolated parameters for smoother extrapTrackParamAtCluster1.SetExtrapParameters(extrapTrackParamAtCluster1.GetParameters()); // save extrapolated covariance matrix for smoother extrapTrackParamAtCluster1.SetExtrapCovariances(extrapTrackParamAtCluster1.GetCovariances()); } // Compute new track parameters including "clusterCh1" using kalman filter addChi2TrackAtCluster1 = RunKalmanFilter(extrapTrackParamAtCluster1); // skip track out of limits if (!IsAcceptable(extrapTrackParamAtCluster1)) continue; // remember a second cluster was found foundSecondCluster = kTRUE; foundTwoClusters = kTRUE; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: found one cluster in chamber(1..): " << ch1+1 << " (Chi2 = " << chi2OfCluster << ")" << endl; clusterCh1->Print(); } if (GetRecoParam()->TrackAllTracks()) { // copy trackCandidate into a new track put at the end of fRecTracksPtr and add the new clusters newTrack = new ((*fRecTracksPtr)[fRecTracksPtr->GetLast()+1]) AliMUONTrack(trackCandidate); UpdateTrack(*newTrack,extrapTrackParamAtCluster1,extrapTrackParamAtCluster2,addChi2TrackAtCluster1,addChi2TrackAtCluster2); fNRecTracks++; // Tag clusterCh1 as used clusterCh1Used[iCluster1] = kTRUE; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: added two clusters in station(1..): " << nextStation+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else if (addChi2TrackAtCluster1+addChi2TrackAtCluster2 < bestAddChi2TrackAtCluster1+bestAddChi2TrackAtCluster2) { // keep track of the best couple of clusters bestAddChi2TrackAtCluster1 = addChi2TrackAtCluster1; bestAddChi2TrackAtCluster2 = addChi2TrackAtCluster2; bestTrackParamAtCluster1 = extrapTrackParamAtCluster1; bestTrackParamAtCluster2 = extrapTrackParamAtCluster2; } } } // if no clusterCh1 found then consider to add clusterCh2 only if (!foundSecondCluster) { // remember a cluster was found foundOneCluster = kTRUE; if (GetRecoParam()->TrackAllTracks()) { // copy trackCandidate into a new track put at the end of fRecTracksPtr and add the new cluster newTrack = new ((*fRecTracksPtr)[fRecTracksPtr->GetLast()+1]) AliMUONTrack(trackCandidate); UpdateTrack(*newTrack,extrapTrackParamAtCluster2,addChi2TrackAtCluster2); fNRecTracks++; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: added one cluster in chamber(1..): " << ch2+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else if (!foundTwoClusters && addChi2TrackAtCluster2 < bestAddChi2TrackAtCluster1) { // keep track of the best single cluster except if a couple of clusters has already been found bestAddChi2TrackAtCluster1 = addChi2TrackAtCluster2; bestTrackParamAtCluster1 = extrapTrackParamAtCluster2; } } } } // look for candidates in chamber 1 not already attached to a track // if we want to keep all possible tracks or if no good couple of clusters has been found if (GetRecoParam()->TrackAllTracks() || !foundTwoClusters) { // add MCS effect for next step AliMUONTrackExtrap::AddMCSEffect(&extrapTrackParamAtCh,AliMUONConstants::ChamberThicknessInX0(ch2),-1.); //Extrapolate trackCandidate to chamber "ch1" Bool_t normalExtrap = AliMUONTrackExtrap::ExtrapToZCov(&extrapTrackParamAtCh, AliMUONConstants::DefaultChamberZ(ch1), GetRecoParam()->UseSmoother()); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 2) || (AliLog::GetGlobalDebugLevel() >= 2)) { cout<= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: look for single clusters in chamber(1..): " << ch1+1 << endl; } // reset cluster iterator of chamber 1 nextInCh1.Reset(); iCluster1 = -1; // look for second candidates in chamber 1 if (normalExtrap) while ( ( clusterCh1 = static_cast(nextInCh1()) ) ) { iCluster1++; if (clusterCh1Used[iCluster1]) continue; // Skip clusters already used // try to add the current cluster fast if (!TryOneClusterFast(extrapTrackParamAtCh, clusterCh1)) continue; // try to add the current cluster accuratly chi2OfCluster = TryOneCluster(extrapTrackParamAtCh, clusterCh1, extrapTrackParamAtCluster1, GetRecoParam()->UseSmoother()); // if good chi2 then consider to add clusterCh1 // We do not try to attach a cluster in the other chamber too since it has already been done above if (chi2OfCluster < maxChi2OfCluster) { if (GetRecoParam()->UseSmoother()) { // save extrapolated parameters for smoother extrapTrackParamAtCluster1.SetExtrapParameters(extrapTrackParamAtCluster1.GetParameters()); // save extrapolated covariance matrix for smoother extrapTrackParamAtCluster1.SetExtrapCovariances(extrapTrackParamAtCluster1.GetCovariances()); } // Compute new track parameters including "clusterCh1" using kalman filter addChi2TrackAtCluster1 = RunKalmanFilter(extrapTrackParamAtCluster1); // skip track out of limits if (!IsAcceptable(extrapTrackParamAtCluster1)) continue; // remember a cluster was found foundOneCluster = kTRUE; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: found one cluster in chamber(1..): " << ch1+1 << " (Chi2 = " << chi2OfCluster << ")" << endl; clusterCh1->Print(); } if (GetRecoParam()->TrackAllTracks()) { // copy trackCandidate into a new track put at the end of fRecTracksPtr and add the new cluster newTrack = new ((*fRecTracksPtr)[fRecTracksPtr->GetLast()+1]) AliMUONTrack(trackCandidate); UpdateTrack(*newTrack,extrapTrackParamAtCluster1,addChi2TrackAtCluster1); fNRecTracks++; // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: added one cluster in chamber(1..): " << ch1+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else if (addChi2TrackAtCluster1 < bestAddChi2TrackAtCluster1) { // keep track of the best single cluster except if a couple of clusters has already been found bestAddChi2TrackAtCluster1 = addChi2TrackAtCluster1; bestTrackParamAtCluster1 = extrapTrackParamAtCluster1; } } } } // fill out the best track if required else clean up the fRecTracksPtr array if (!GetRecoParam()->TrackAllTracks()) { if (foundTwoClusters) { UpdateTrack(trackCandidate,bestTrackParamAtCluster1,bestTrackParamAtCluster2,bestAddChi2TrackAtCluster1,bestAddChi2TrackAtCluster2); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: added the two best clusters in station(1..): " << nextStation+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else if (foundOneCluster) { UpdateTrack(trackCandidate,bestTrackParamAtCluster1,bestAddChi2TrackAtCluster1); // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "FollowTrackInStation: added the best cluster in chamber(1..): " << bestTrackParamAtCluster1.GetClusterPtr()->GetChamberId()+1 << endl; if (AliLog::GetGlobalDebugLevel() >= 3) newTrack->RecursiveDump(); } } else { delete [] clusterCh1Used; return kFALSE; } } else if (foundOneCluster || foundTwoClusters) { // remove obsolete track fRecTracksPtr->Remove(&trackCandidate); fNRecTracks--; } else { delete [] clusterCh1Used; return kFALSE; } delete [] clusterCh1Used; return kTRUE; } //__________________________________________________________________________ Double_t AliMUONTrackReconstructorK::RunKalmanFilter(AliMUONTrackParam &trackParamAtCluster) { /// Compute new track parameters and their covariances including new cluster using kalman filter /// return the additional track chi2 AliDebug(1,"Enter RunKalmanFilter"); // Get actual track parameters (p) TMatrixD param(trackParamAtCluster.GetParameters()); // Get new cluster parameters (m) AliMUONVCluster *cluster = trackParamAtCluster.GetClusterPtr(); TMatrixD clusterParam(5,1); clusterParam.Zero(); clusterParam(0,0) = cluster->GetX(); clusterParam(2,0) = cluster->GetY(); // Compute the actual parameter weight (W) TMatrixD paramWeight(trackParamAtCluster.GetCovariances()); if (paramWeight.Determinant() != 0) { paramWeight.Invert(); } else { AliWarning(" Determinant = 0"); return 2.*AliMUONTrack::MaxChi2(); } // Compute the new cluster weight (U) TMatrixD clusterWeight(5,5); clusterWeight.Zero(); clusterWeight(0,0) = 1. / cluster->GetErrX2(); clusterWeight(2,2) = 1. / cluster->GetErrY2(); // Compute the new parameters covariance matrix ( (W+U)^-1 ) TMatrixD newParamCov(paramWeight,TMatrixD::kPlus,clusterWeight); if (newParamCov.Determinant() != 0) { newParamCov.Invert(); } else { AliWarning(" Determinant = 0"); return 2.*AliMUONTrack::MaxChi2(); } // Save the new parameters covariance matrix trackParamAtCluster.SetCovariances(newParamCov); // Compute the new parameters (p' = ((W+U)^-1)U(m-p) + p) TMatrixD tmp(clusterParam,TMatrixD::kMinus,param); TMatrixD tmp2(clusterWeight,TMatrixD::kMult,tmp); // U(m-p) TMatrixD newParam(newParamCov,TMatrixD::kMult,tmp2); // ((W+U)^-1)U(m-p) newParam += param; // ((W+U)^-1)U(m-p) + p // Save the new parameters trackParamAtCluster.SetParameters(newParam); // Compute the additional chi2 (= ((p'-p)^-1)W(p'-p) + ((p'-m)^-1)U(p'-m)) tmp = newParam; // p' tmp -= param; // (p'-p) TMatrixD tmp3(paramWeight,TMatrixD::kMult,tmp); // W(p'-p) TMatrixD addChi2Track(tmp,TMatrixD::kTransposeMult,tmp3); // ((p'-p)^-1)W(p'-p) tmp = newParam; // p' tmp -= clusterParam; // (p'-m) TMatrixD tmp4(clusterWeight,TMatrixD::kMult,tmp); // U(p'-m) addChi2Track += TMatrixD(tmp,TMatrixD::kTransposeMult,tmp4); // ((p'-p)^-1)W(p'-p) + ((p'-m)^-1)U(p'-m) return addChi2Track(0,0); } //__________________________________________________________________________ void AliMUONTrackReconstructorK::UpdateTrack(AliMUONTrack &track, AliMUONTrackParam &trackParamAtCluster, Double_t addChi2) { /// Add 1 cluster to the track candidate /// Update chi2 of the track // Flag cluster as being (not) removable if (GetRecoParam()->RequestStation(trackParamAtCluster.GetClusterPtr()->GetChamberId()/2)) trackParamAtCluster.SetRemovable(kFALSE); else trackParamAtCluster.SetRemovable(kTRUE); trackParamAtCluster.SetLocalChi2(0.); // --> Local chi2 not used // Update the track chi2 into trackParamAtCluster trackParamAtCluster.SetTrackChi2(track.GetGlobalChi2() + addChi2); // Update the chi2 of the new track track.SetGlobalChi2(trackParamAtCluster.GetTrackChi2()); // Update array of TrackParamAtCluster track.AddTrackParamAtCluster(trackParamAtCluster,*(trackParamAtCluster.GetClusterPtr())); } //__________________________________________________________________________ void AliMUONTrackReconstructorK::UpdateTrack(AliMUONTrack &track, AliMUONTrackParam &trackParamAtCluster1, AliMUONTrackParam &trackParamAtCluster2, Double_t addChi2AtCluster1, Double_t addChi2AtCluster2) { /// Add 2 clusters to the track candidate (order is important) /// Update track and local chi2 // Update local chi2 at first cluster AliMUONVCluster* cluster1 = trackParamAtCluster1.GetClusterPtr(); Double_t deltaX = trackParamAtCluster1.GetNonBendingCoor() - cluster1->GetX(); Double_t deltaY = trackParamAtCluster1.GetBendingCoor() - cluster1->GetY(); Double_t localChi2AtCluster1 = deltaX*deltaX / cluster1->GetErrX2() + deltaY*deltaY / cluster1->GetErrY2(); trackParamAtCluster1.SetLocalChi2(localChi2AtCluster1); // Flag first cluster as being removable trackParamAtCluster1.SetRemovable(kTRUE); // Update local chi2 at second cluster AliMUONVCluster* cluster2 = trackParamAtCluster2.GetClusterPtr(); AliMUONTrackParam extrapTrackParamAtCluster2(trackParamAtCluster1); AliMUONTrackExtrap::ExtrapToZ(&extrapTrackParamAtCluster2, trackParamAtCluster2.GetZ()); deltaX = extrapTrackParamAtCluster2.GetNonBendingCoor() - cluster2->GetX(); deltaY = extrapTrackParamAtCluster2.GetBendingCoor() - cluster2->GetY(); Double_t localChi2AtCluster2 = deltaX*deltaX / cluster2->GetErrX2() + deltaY*deltaY / cluster2->GetErrY2(); trackParamAtCluster2.SetLocalChi2(localChi2AtCluster2); // Flag second cluster as being removable trackParamAtCluster2.SetRemovable(kTRUE); // Update the track chi2 into trackParamAtCluster2 trackParamAtCluster2.SetTrackChi2(track.GetGlobalChi2() + addChi2AtCluster2); // Update the track chi2 into trackParamAtCluster1 trackParamAtCluster1.SetTrackChi2(trackParamAtCluster2.GetTrackChi2() + addChi2AtCluster1); // Update the chi2 of the new track track.SetGlobalChi2(trackParamAtCluster1.GetTrackChi2()); // Update array of trackParamAtCluster track.AddTrackParamAtCluster(trackParamAtCluster1,*cluster1); track.AddTrackParamAtCluster(trackParamAtCluster2,*cluster2); } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::RecoverTrack(AliMUONTrack &trackCandidate, AliMUONVClusterStore& clusterStore, Int_t nextStation) { /// Try to recover the track candidate in the next station /// by removing the worst of the two clusters attached in the current station /// Return kTRUE if recovering succeeds AliDebug(1,"Enter RecoverTrack"); // Do not try to recover track until we have attached cluster(s) on station(1..) 3 if (nextStation > 1) return kFALSE; Int_t worstClusterNumber = -1; Double_t localChi2, worstLocalChi2 = -1.; // Look for the cluster to remove for (Int_t clusterNumber = 0; clusterNumber < 2; clusterNumber++) { AliMUONTrackParam *trackParamAtCluster = (AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->UncheckedAt(clusterNumber); // check if current cluster is in the previous station if (trackParamAtCluster->GetClusterPtr()->GetChamberId()/2 != nextStation+1) break; // check if current cluster is removable if (!trackParamAtCluster->IsRemovable()) return kFALSE; // reset the current cluster as being not removable if it is on a required station if (GetRecoParam()->RequestStation(nextStation+1)) trackParamAtCluster->SetRemovable(kFALSE); // Pick up cluster with the worst chi2 localChi2 = trackParamAtCluster->GetLocalChi2(); if (localChi2 > worstLocalChi2) { worstLocalChi2 = localChi2; worstClusterNumber = clusterNumber; } } // check if worst cluster found if (worstClusterNumber < 0) return kFALSE; // Remove the worst cluster trackCandidate.RemoveTrackParamAtCluster((AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->UncheckedAt(worstClusterNumber)); // Re-calculate track parameters at the (new) first cluster if (!RetracePartialTrack(trackCandidate,(AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->UncheckedAt(1))) return kFALSE; // skip track out of limits if (!IsAcceptable(*((AliMUONTrackParam*)trackCandidate.GetTrackParamAtCluster()->First()))) return kFALSE; // Look for new cluster(s) in next station return FollowTrackInStation(trackCandidate, clusterStore, nextStation); } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::RunSmoother(AliMUONTrack &track) { /// Compute new track parameters and their covariances using smoother AliDebug(1,"Enter UseSmoother"); AliMUONTrackParam *previousTrackParam = (AliMUONTrackParam*) track.GetTrackParamAtCluster()->First(); // Smoothed parameters and covariances at first cluster = filtered parameters and covariances previousTrackParam->SetSmoothParameters(previousTrackParam->GetParameters()); previousTrackParam->SetSmoothCovariances(previousTrackParam->GetCovariances()); AliMUONTrackParam *currentTrackParam = (AliMUONTrackParam*) track.GetTrackParamAtCluster()->After(previousTrackParam); // Save local chi2 at first cluster = last additional chi2 provided by Kalman previousTrackParam->SetLocalChi2(previousTrackParam->GetTrackChi2() - currentTrackParam->GetTrackChi2()); // if the track contains only 2 clusters simply copy the filtered parameters if (track.GetNClusters() == 2) { currentTrackParam->SetSmoothParameters(currentTrackParam->GetParameters()); currentTrackParam->SetSmoothCovariances(currentTrackParam->GetCovariances()); currentTrackParam->SetLocalChi2(currentTrackParam->GetTrackChi2()); return kTRUE; } while (currentTrackParam) { // Get variables const TMatrixD &extrapParameters = previousTrackParam->GetExtrapParameters(); // X(k+1 k) const TMatrixD &filteredParameters = currentTrackParam->GetParameters(); // X(k k) const TMatrixD &previousSmoothParameters = previousTrackParam->GetSmoothParameters(); // X(k+1 n) const TMatrixD &propagator = previousTrackParam->GetPropagator(); // F(k) const TMatrixD &extrapCovariances = previousTrackParam->GetExtrapCovariances(); // C(k+1 k) const TMatrixD &filteredCovariances = currentTrackParam->GetCovariances(); // C(k k) const TMatrixD &previousSmoothCovariances = previousTrackParam->GetSmoothCovariances(); // C(k+1 n) // Compute smoother gain: A(k) = C(kk) * F(k)^t * (C(k+1 k))^-1 TMatrixD extrapWeight(extrapCovariances); if (extrapWeight.Determinant() != 0) { extrapWeight.Invert(); // (C(k+1 k))^-1 } else { AliWarning(" Determinant = 0"); return kFALSE; } TMatrixD smootherGain(filteredCovariances,TMatrixD::kMultTranspose,propagator); // C(kk) * F(k)^t smootherGain *= extrapWeight; // C(kk) * F(k)^t * (C(k+1 k))^-1 // Compute smoothed parameters: X(k n) = X(k k) + A(k) * (X(k+1 n) - X(k+1 k)) TMatrixD tmpParam(previousSmoothParameters,TMatrixD::kMinus,extrapParameters); // X(k+1 n) - X(k+1 k) TMatrixD smoothParameters(smootherGain,TMatrixD::kMult,tmpParam); // A(k) * (X(k+1 n) - X(k+1 k)) smoothParameters += filteredParameters; // X(k k) + A(k) * (X(k+1 n) - X(k+1 k)) // Save smoothed parameters currentTrackParam->SetSmoothParameters(smoothParameters); // Compute smoothed covariances: C(k n) = C(k k) + A(k) * (C(k+1 n) - C(k+1 k)) * (A(k))^t TMatrixD tmpCov(previousSmoothCovariances,TMatrixD::kMinus,extrapCovariances); // C(k+1 n) - C(k+1 k) TMatrixD tmpCov2(tmpCov,TMatrixD::kMultTranspose,smootherGain); // (C(k+1 n) - C(k+1 k)) * (A(k))^t TMatrixD smoothCovariances(smootherGain,TMatrixD::kMult,tmpCov2); // A(k) * (C(k+1 n) - C(k+1 k)) * (A(k))^t smoothCovariances += filteredCovariances; // C(k k) + A(k) * (C(k+1 n) - C(k+1 k)) * (A(k))^t // Save smoothed covariances currentTrackParam->SetSmoothCovariances(smoothCovariances); // Compute smoothed residual: r(k n) = cluster - X(k n) AliMUONVCluster* cluster = currentTrackParam->GetClusterPtr(); TMatrixD smoothResidual(2,1); smoothResidual.Zero(); smoothResidual(0,0) = cluster->GetX() - smoothParameters(0,0); smoothResidual(1,0) = cluster->GetY() - smoothParameters(2,0); // Compute weight of smoothed residual: W(k n) = (clusterCov - C(k n))^-1 TMatrixD smoothResidualWeight(2,2); smoothResidualWeight(0,0) = cluster->GetErrX2() - smoothCovariances(0,0); smoothResidualWeight(0,1) = - smoothCovariances(0,2); smoothResidualWeight(1,0) = - smoothCovariances(2,0); smoothResidualWeight(1,1) = cluster->GetErrY2() - smoothCovariances(2,2); if (smoothResidualWeight.Determinant() != 0) { smoothResidualWeight.Invert(); } else { AliWarning(" Determinant = 0"); return kFALSE; } // Compute local chi2 = (r(k n))^t * W(k n) * r(k n) TMatrixD tmpChi2(smoothResidual,TMatrixD::kTransposeMult,smoothResidualWeight); // (r(k n))^t * W(k n) TMatrixD localChi2(tmpChi2,TMatrixD::kMult,smoothResidual); // (r(k n))^t * W(k n) * r(k n) // Save local chi2 currentTrackParam->SetLocalChi2(localChi2(0,0)); previousTrackParam = currentTrackParam; currentTrackParam = (AliMUONTrackParam*) track.GetTrackParamAtCluster()->After(previousTrackParam); } return kTRUE; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::ComplementTracks(const AliMUONVClusterStore& clusterStore) { /// Complete tracks by adding missing clusters (if there is an overlap between /// two detection elements, the track may have two clusters in the same chamber). /// Recompute track parameters and covariances at each clusters. /// Remove tracks getting abnormal (i.e. extrapolation failed...) after being complemented. /// Return kTRUE if one or more tracks have been complemented or removed. AliDebug(1,"Enter ComplementTracks"); Int_t chamberId, detElemId; Double_t chi2OfCluster, addChi2TrackAtCluster, bestAddChi2TrackAtCluster; Double_t maxChi2OfCluster = 2. * GetRecoParam()->GetSigmaCutForTracking() * GetRecoParam()->GetSigmaCutForTracking(); // 2 because 2 quantities in chi2 Bool_t foundOneCluster, trackModified, hasChanged = kFALSE; AliMUONVCluster *cluster; AliMUONTrackParam *trackParam, *previousTrackParam, *nextTrackParam, trackParamAtCluster, bestTrackParamAtCluster; AliMUONTrack *nextTrack; AliMUONTrack *track = (AliMUONTrack*) fRecTracksPtr->First(); while (track) { trackModified = kFALSE; trackParam = (AliMUONTrackParam*)track->GetTrackParamAtCluster()->First(); previousTrackParam = trackParam; while (trackParam) { foundOneCluster = kFALSE; bestAddChi2TrackAtCluster = AliMUONTrack::MaxChi2(); chamberId = trackParam->GetClusterPtr()->GetChamberId(); detElemId = trackParam->GetClusterPtr()->GetDetElemId(); // prepare nextTrackParam before adding new cluster because of the sorting nextTrackParam = (AliMUONTrackParam*)track->GetTrackParamAtCluster()->After(trackParam); // Create iterators to loop over clusters in current chamber TIter nextInCh(clusterStore.CreateChamberIterator(chamberId,chamberId)); // look for one second candidate in the same chamber while ( ( cluster = static_cast(nextInCh()) ) ) { // look for a cluster in another detection element if (cluster->GetDetElemId() == detElemId) continue; // try to add the current cluster fast if (!TryOneClusterFast(*trackParam, cluster)) continue; // try to add the current cluster accurately // never use track parameters at last cluster because the covariance matrix is meaningless if (nextTrackParam) chi2OfCluster = TryOneCluster(*trackParam, cluster, trackParamAtCluster); else chi2OfCluster = TryOneCluster(*previousTrackParam, cluster, trackParamAtCluster); // if good chi2 then consider to add this cluster to the track if (chi2OfCluster < maxChi2OfCluster) { // Compute local track parameters including current cluster using kalman filter addChi2TrackAtCluster = RunKalmanFilter(trackParamAtCluster); // keep track of the best cluster if (addChi2TrackAtCluster < bestAddChi2TrackAtCluster) { bestAddChi2TrackAtCluster = addChi2TrackAtCluster; bestTrackParamAtCluster = trackParamAtCluster; foundOneCluster = kTRUE; } } } // add new cluster if any if (foundOneCluster) { // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "ComplementTracks: found one cluster in chamber(1..): " << chamberId+1 << endl; bestTrackParamAtCluster.GetClusterPtr()->Print(); if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 2) || (AliLog::GetGlobalDebugLevel() >= 2)) { cout<SetRemovable(kTRUE); bestTrackParamAtCluster.SetRemovable(kTRUE); track->AddTrackParamAtCluster(bestTrackParamAtCluster,*(bestTrackParamAtCluster.GetClusterPtr())); trackModified = kTRUE; hasChanged = kTRUE; } previousTrackParam = trackParam; trackParam = nextTrackParam; } // prepare next track nextTrack = (AliMUONTrack*) fRecTracksPtr->After(track); // re-compute track parameters using kalman filter if needed if (trackModified && !RetraceTrack(*track,kTRUE)) { AliWarning("track modified but problem occur during refitting --> remove track"); fRecTracksPtr->Remove(track); fNRecTracks--; } track = nextTrack; } return hasChanged; } //__________________________________________________________________________ void AliMUONTrackReconstructorK::ImproveTrack(AliMUONTrack &track) { /// Improve the given track by removing removable clusters with local chi2 highter than the defined cut /// Removable clusters are identified by the method AliMUONTrack::TagRemovableClusters() /// Recompute track parameters and covariances at the remaining clusters /// and if something goes wrong (i.e. extrapolation failed...) set track chi2 to max value AliDebug(1,"Enter ImproveTrack"); Double_t localChi2, worstLocalChi2; AliMUONTrackParam *trackParamAtCluster, *worstTrackParamAtCluster, *nextTrackParam, *next2nextTrackParam; Int_t nextChamber, next2nextChamber; Bool_t smoothed; Double_t sigmaCut2 = GetRecoParam()->GetSigmaCutForImprovement() * GetRecoParam()->GetSigmaCutForImprovement(); while (!track.IsImproved()) { // identify removable clusters track.TagRemovableClusters(GetRecoParam()->RequestedStationMask()); // Run smoother if required smoothed = kFALSE; if (GetRecoParam()->UseSmoother()) smoothed = RunSmoother(track); // Use standard procedure to compute local chi2 if smoother not required or not working if (!smoothed) { // Update track parameters and covariances if (!track.UpdateCovTrackParamAtCluster()) { AliWarning("unable to update track parameters and covariances --> stop improvement"); // restore the kalman parameters RetraceTrack(track,kTRUE); break; } // Compute local chi2 of each clusters track.ComputeLocalChi2(kTRUE); } // Look for the cluster to remove worstTrackParamAtCluster = 0x0; worstLocalChi2 = -1.; trackParamAtCluster = (AliMUONTrackParam*)track.GetTrackParamAtCluster()->First(); while (trackParamAtCluster) { // save parameters into smooth parameters in case of smoother did not work properly if (GetRecoParam()->UseSmoother() && !smoothed) { trackParamAtCluster->SetSmoothParameters(trackParamAtCluster->GetParameters()); trackParamAtCluster->SetSmoothCovariances(trackParamAtCluster->GetCovariances()); } // Pick up cluster with the worst chi2 localChi2 = trackParamAtCluster->GetLocalChi2(); if (localChi2 > worstLocalChi2) { worstLocalChi2 = localChi2; worstTrackParamAtCluster = trackParamAtCluster; } trackParamAtCluster = (AliMUONTrackParam*)track.GetTrackParamAtCluster()->After(trackParamAtCluster); } // Check whether the worst chi2 is under requirement or not if (worstLocalChi2 < 2. * sigmaCut2) { // 2 because 2 quantities in chi2 track.SetImproved(kTRUE); break; } // if the worst cluster is not removable then stop improvement if (!worstTrackParamAtCluster->IsRemovable()) { // restore the kalman parameters in case they have been lost if (!smoothed) RetraceTrack(track,kTRUE); break; } // get track parameters at cluster next to the one to be removed nextTrackParam = (AliMUONTrackParam*) track.GetTrackParamAtCluster()->After(worstTrackParamAtCluster); // Remove the worst cluster track.RemoveTrackParamAtCluster(worstTrackParamAtCluster); // Re-calculate track parameters // - from the cluster immediately downstream the one suppressed // - or from the begining - if parameters have been re-computed using the standard method (kalman parameters have been lost) // - or if the removed cluster was used to compute the tracking seed Bool_t normalExtrap; if (smoothed && nextTrackParam) { nextChamber = nextTrackParam->GetClusterPtr()->GetChamberId(); next2nextTrackParam = nextTrackParam; do { next2nextChamber = next2nextTrackParam->GetClusterPtr()->GetChamberId(); next2nextTrackParam = (AliMUONTrackParam*) track.GetTrackParamAtCluster()->After(next2nextTrackParam); } while (next2nextTrackParam && (next2nextChamber == nextChamber)); if (next2nextChamber == nextChamber) normalExtrap = RetraceTrack(track,kTRUE); else normalExtrap = RetracePartialTrack(track,nextTrackParam); } else normalExtrap = RetraceTrack(track,kTRUE); // stop in case of extrapolation problem if (!normalExtrap) { AliWarning("track partially improved but problem occur during refitting --> stop improvement"); break; } // Printout for debuging if ((AliLog::GetDebugLevel("MUON","AliMUONTrackReconstructorK") >= 1) || (AliLog::GetGlobalDebugLevel() >= 1)) { cout << "ImproveTracks: track " << fRecTracksPtr->IndexOf(&track)+1 << " improved " << endl; } } } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::FinalizeTrack(AliMUONTrack &track) { /// Update track parameters and covariances at each attached cluster /// using smoother if required, if not already done /// return kFALSE if the track cannot be extrapolated uo to the last chamber AliMUONTrackParam *trackParamAtCluster; Bool_t smoothed = kFALSE; // update track parameters (using smoother if required) if not already done if (track.IsImproved()) smoothed = GetRecoParam()->UseSmoother(); else { if (GetRecoParam()->UseSmoother()) smoothed = RunSmoother(track); if (!smoothed) { if (track.UpdateCovTrackParamAtCluster()) track.ComputeLocalChi2(kTRUE); else { AliWarning("finalization failed due to extrapolation problem"); return kFALSE; } } } // copy smoothed parameters and covariances if any if (smoothed) { trackParamAtCluster = (AliMUONTrackParam*) (track.GetTrackParamAtCluster()->First()); while (trackParamAtCluster) { trackParamAtCluster->SetParameters(trackParamAtCluster->GetSmoothParameters()); trackParamAtCluster->SetCovariances(trackParamAtCluster->GetSmoothCovariances()); trackParamAtCluster = (AliMUONTrackParam*) (track.GetTrackParamAtCluster()->After(trackParamAtCluster)); } } return kTRUE; } //__________________________________________________________________________ Bool_t AliMUONTrackReconstructorK::RefitTrack(AliMUONTrack &track, Bool_t enableImprovement) { /// re-fit the given track AliDebug(1,"Enter RefitTrack"); // check validity of the track (i.e. at least 2 chambers hit on stations 4 and 5) if (!track.IsValid(0)) { AliWarning("the track is not valid --> unable to refit"); return kFALSE; } // re-compute track parameters and covariances using Kalman filter if (!RetraceTrack(track,kTRUE)) { AliWarning("bad track refitting due to extrapolation failure"); return kFALSE; } // Improve the reconstructed tracks if required track.SetImproved(kFALSE); if (enableImprovement && GetRecoParam()->ImproveTracks()) ImproveTrack(track); // Fill AliMUONTrack data members if (track.GetGlobalChi2() < AliMUONTrack::MaxChi2()) return FinalizeTrack(track); else { AliWarning("track not finalized due to extrapolation failure"); return kFALSE; } }