class AliMUONTrackReconstructor: public AliMUONVTrackReconstructor

 Constructor

 Destructor

 To make track candidates (assuming linear propagation if the flag fgkMakeTrackCandidatesFast is set to 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.
 Keep only best candidates or all of them according to the flag fgkTrackAllTracks.

 To make extra track candidates (assuming linear propagation if the flag fgkMakeTrackCandidatesFast is set to kTRUE):
 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 station are requested (two otherwise).
 Keep only best candidates or all of them according to the flag fgkTrackAllTracks.

 Follow tracks in stations(1..) 3, 2 and 1

 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.

 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.

 Test the compatibility between the track and the 2 clusters together (using trackParam's covariance matrix):
 return the corresponding Chi2 accounting for covariances between the 2 clusters
 return trackParamAtCluster1 & 2

 Add 1 cluster to the track candidate
 Update chi2 of the track

 Add 2 clusters to the track candidate
 Update track and local chi2

 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

 Compute the vertex resolution square from natural vertex dispersion and
 multiple scattering effets according to trackCandidate path in absorber
 It is necessary to account for multiple scattering effects here instead of during the fit of
 the "trackCandidate" to do not influence the result by changing track resolution at vertex

 Fit the track
 w/wo multiple Coulomb scattering according to "includeMCS".
 w/wo constraining the vertex according to "fitWithVertex".
 calculating or not the covariance matrix according to "calcCov".

 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).
 Re-fit track parameters and covariances.
 Return kTRUE if one or more tracks have been complemented.

 Improve the given track by removing clusters with local chi2 highter than the defined cut
 Recompute track parameters and covariances at the remaining clusters

 Recompute track parameters and covariances at each attached cluster
 from those at the first one, if not already done

 re-fit the given track

 Not implemented copy assignment operator