class AliESDtrack: public AliExternalTrackParam

 The default ESD constructor

copy constructor

 ESD track from AliVTrack.
 This is not a copy constructor !

 ESD track from TParticle

 This is destructor according Coding Conventrions

printf("Delete track\n");

 == operator

 add calib object to the list

 return calib objct at given position

 Resets everything except
 fFlags: Reconstruction status flags
 fLabel: Track label
 fID:  Unique ID of the track
 Impact parameter information
 fR[AliPID::kSPECIES]: combined "detector response probability"
 Running track parameters in the base class (AliExternalTrackParam)

 Returns the particle most probable id. For backward compatibility first the prob. arrays
 will be checked, but normally the GetPIDForTracking will be returned

 Returns the number of bunch crossings after trigger (assuming 25ns spacing)

 Returns the assumed mass
 (the pion mass, if the particle can't be identified properly).

 Returns the energy of the particle given its assumed mass.
 Assumes the pion mass if the particle can't be identified properly.

 Returns the rapidity of a particle given its assumed mass.
 Assumes the pion mass if the particle can't be identified properly.

 This function updates track's running parameters

 This function returns external representation of the track parameters

 This function returns external representation of the cov. matrix

 This function returns the constrained external cov. matrix

 This function returns external representation of the cov. matrix
 at the inner layer of TPC

 This is a direct setter for the outer track parameters

 This is a direct setter for the outer track parameters

 This function returns external representation of the cov. matrix
 at the inner layer of TRD

 This function returns external representation of the cov. matrix
 at the inner layer of TRD

 Get number of clusters by subdetector index

 Get cluster index array by subdetector index

 get integrated time for requested N species

 Sets the array with integrated times for each particle hypotesis

 Sets values for the probability of each particle type (in ITS)

 Gets the probability of each particle type (in ITS)

 This function returns indices of the assgined ITS clusters

 This function encodes in the module number also the status of cluster association
 "status" can have the following values:
 1 "found" (cluster is associated),
 2 "dead" (module is dead from OCDB),
 3 "skipped" (module or layer forced to be skipped),
 4 "outinz" (track out of z acceptance),
 5 "nocls" (no clusters in the road),
 6 "norefit" (cluster rejected during refit),
 7 "deadzspd" (holes in z in SPD)
 Also given are the coordinates of the crossing point of track and module
 (in the local module ref. system)
 WARNING: THIS METHOD HAS TO BE SYNCHRONIZED WITH AliITStrackV2::GetModuleIndexInfo()!

 This function returns indices of the assgined ITS clusters

 This function calls GetTPCClusterInfo with some default parameters which are used in the track selection and caches the outcome
 because GetTPCClusterInfo is quite time-consuming

 TPC cluster information
 type 0: get fraction of found/findable clusters with neighbourhood definition
      1: findable clusters with neighbourhood definition
      2: found clusters
 bitType:
      0 - all cluster used
      1 - clusters  used for the kalman update
 definition of findable clusters:
            a cluster is defined as findable if there is another cluster
           within +- nNeighbours pad rows. The idea is to overcome threshold
           effects with a very simple algorithm.

 TPC cluster density -  only rows where signal before and after given row are used
                     -  slower function
 type 0: get fraction of found/findable clusters with neighbourhood definition
      1: findable clusters with neighbourhood definition
      2: found clusters
 bitType:
      0 - all cluster used
      1 - clusters  used for the kalman update
 definition of findable clusters:
            a cluster is defined as findable if there is another cluster
           within +- nNeighbours pad rows. The idea is to overcome threshold
           effects with a very simple algorithm.

 GetDensity of the clusters on given region between row0 and row1
 Dead zone effect takin into acoount

 Sets values for the probability of each particle type (in TPC)

 Gets the probability of each particle type (in TPC)

 This function returns indices of the assgined TRD clusters

 This function returns the number of TRD tracklets used in tracking
 and it fills the indices of these tracklets in the array "idx" as they
 are registered in the TRD track list.

 Caution :
   1. The idx array has to be allocated with a size >= AliESDtrack::kTRDnPlanes
   2. The idx array store not only the index but also the layer of the tracklet.
      Therefore tracks with TRD gaps contain default values for indices [-1]

 Sets values for the probability of each particle type (in TRD)

 Gets the probability of each particle type (in TRD)

 Sets the probability of particle type iSpecies to p (in TRD)

 Returns the probability of particle type iSpecies (in TRD)

 built in backward compatibility

Returns momentum estimation and optional its error (sp)
 in TRD layer "plane".

Gets the charge from the slice of the plane

Sets the number of slices used for PID

Sets the charge q in the slice of the plane

 Sets the probability of each particle type (in TOF)

 Gets probabilities of each particle type (in TOF)

 Gets (in TOF)

 Gets (in TOF)

 Gets (in TOF)

 Sets the probability of each particle type (in HMPID)

 Gets probabilities of each particle type (in HMPID)

 Sets the probability of each particle type for the ESD track

 Gets probability of each particle type for the ESD track

 Try to relate the TPC-only track parameters to the vertex "vtx",
 if the (rough) transverse impact parameter is not bigger then "maxd".
            Magnetic field is "b" (kG).

 a) The TPC-only paramters are extapolated to the DCA to the vertex.
 b) The impact parameters and their covariance matrix are calculated.
 c) An attempt to constrain the TPC-only params to the vertex is done.
    The constrained params are returned via "cParam".

 In the case of success, the returned value is kTRUE
 otherwise, it's kFALSE)

 Try to relate the TPC-only track parameters to the vertex "vtx",
 if the (rough) transverse impact parameter is not bigger then "maxd".

 All three components of the magnetic field ,"b[3]" (kG),
 are taken into account.

 a) The TPC-only paramters are extapolated to the DCA to the vertex.
 b) The impact parameters and their covariance matrix are calculated.
 c) An attempt to constrain the TPC-only params to the vertex is done.
    The constrained params are returned via "cParam".

 In the case of success, the returned value is kTRUE
 otherwise, it's kFALSE)

 Try to relate this track to the vertex "vtx",
 if the (rough) transverse impact parameter is not bigger then "maxd".
            Magnetic field is "b" (kG).

 a) The track gets extapolated to the DCA to the vertex.
 b) The impact parameters and their covariance matrix are calculated.
 c) An attempt to constrain this track to the vertex is done.
    The constrained params are returned via "cParam".

 In the case of success, the returned value is kTRUE
 (otherwise, it's kFALSE)

 Try to relate this track to the vertex "vtx",
 if the (rough) transverse impact parameter is not bigger then "maxd".
            Magnetic field is "b" (kG).

 a) The track gets extapolated to the DCA to the vertex.
 b) The impact parameters and their covariance matrix are calculated.
 c) An attempt to constrain this track to the vertex is done.
    The constrained params are returned via "cParam".

 In the case of success, the returned value is kTRUE
 (otherwise, it's kFALSE)

 Prints info on the track

 Fill points in the polymarker

 Store the dE/dx samples measured by the two SSD and two SDD layers.
 These samples are corrected for the track segment length.

 Get the dE/dx samples measured by the two SSD and two SDD layers.
 These samples are corrected for the track segment length.

 get number of shared TPC clusters

 get number of TPC clusters

 Calculates the chi2 between the TPC track (TPCinner) constrained to the primary vertex and the global track

 Returns -1 in case the calculation failed

 Value is cached as a non-persistent member.

 Code adapted from original code by GSI group (Jacek, Marian, Michael)

 Set the detector PID

 Input parameters:
   mode  - type of external track parameters
   deltaY - user defined "dead region" in cm
   deltaZ - user defined "active region" in cm (250 cm drift lenght - 14 cm L1 delay
   bz     - magnetic field
   exbPhi - optional rotation due to the ExB effect
 return value:
   the length of the track in cm in "active volume" of the TPC

 Numerical code to calculate the length of the track in active region of the TPC
 ( can be speed up if somebody wants to invest time - analysical version shoult be possible)

 Input parameters:
   paramT - external track parameters
   deltaY - user defined "dead region" in cm
   deltaZ - user defined "active region" in cm (250 cm drift lenght - 14 cm L1 delay
   bz     - magnetic field
   exbPhi - optional rotation due to the ExB effect
 return value:
   the length of the track in cm in "active volume" of the TPC

 remove reference to this track from TOF clusters

 replace the ID in TOF clusters references to this track

 replace the referenc on TOF cluster oldID by newID

 replace in the ESDTOFCluster associated with this track the id of the corresponding
 ESDTOFMatch from oldID to newID

 set track ID taking care about dependencies

 Interface to get the calibrated dEdx information
 For details of arguments and return values see
     AliTPCdEdxInfo::GetdEdxInfo(Int_t regionID, Int_t calibID, Int_t valueID)

 Methods
 mean values:
     0.)   linear
     1.)   logarithmic
     2.)   1/sqrt
     3.)   power()
 time COG:
     4.)   linear
     5.)   logarithmic
     6.)   square

 global track chi2

 A.Bercuci

 TEMPORARY alias asked by the HFE group to allow
 reading of the v4-16-Release data with TRUNK related software (A.Bercuci@Apr 30th 09)

 end A.Bercuci

 HMPID methodes +++++++++++++++++++++++++++++++++ (kir)

 online mode Matthias.Richter@cern.ch
 in order to optimize AliESDtrack for usage in the online HLT,
 some functionality is disabled
 - creation of AliESDfriendTrack
 - set lengt of bit fields fTPCClusterMap and fTPCSharedMap to 0

the calibration interface
--to be used in online calibration/QA
--should also be implemented in ESD so it works offline as well