#include "AliMUONTrackParam.h"
#include "AliMUONTrackExtrap.h"
#include "AliMUONRecoParam.h"
+#include "AliMUONGeometryTransformer.h"
#include "AliMpArea.h"
#include <Riostream.h>
#include <TMath.h>
#include <TMatrixD.h>
+#include <TClonesArray.h>
// Functions to be minimized with Minuit
void TrackChi2(Int_t &nParam, Double_t *gradient, Double_t &chi2, Double_t *param, Int_t flag);
+using std::endl;
+using std::cout;
/// \cond CLASSIMP
ClassImp(AliMUONTrackReconstructor) // Class implementation in ROOT context
/// \endcond
//__________________________________________________________________________
-AliMUONTrackReconstructor::AliMUONTrackReconstructor(const AliMUONRecoParam* recoParam, AliMUONVClusterServer* clusterServer)
- : AliMUONVTrackReconstructor(recoParam,clusterServer)
+AliMUONTrackReconstructor::AliMUONTrackReconstructor(const AliMUONRecoParam* recoParam, AliMUONVClusterServer* clusterServer,
+ const AliMUONGeometryTransformer* transformer)
+ : AliMUONVTrackReconstructor(recoParam, clusterServer, transformer)
{
/// Constructor
}
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() - iseg - 1) > GetRecoParam()->GetMaxTrackCandidates()) {
AliError(Form("Too many track candidates (%d tracks). Stop tracking.", fNRecTracks + segments->GetEntriesFast() - iseg - 1));
- delete segments;
return kFALSE;
}
}
}
- // delete the array of segments
- delete segments;
}
// Keep all different tracks or only the best ones as required
// 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;
}
}
// Covariance matrix according to HESSE status
// If problem then keep only the diagonal terms (variances)
Double_t matrix[5][5];
+ for (Int_t i=0; i<5; i++) for (Int_t j=0; j<5; j++) matrix[i][j] = 0.;
gMinuit->mnemat(&matrix[0][0],5);
if (covStatus == 3) trackParam->SetCovariances(matrix);
else trackParam->SetVariances(matrix);