MutKalmanTrack

class MutKalmanTrack : public TObject

    private:

      MutKalmanTrack MutKalmanTrack()
                void Filter(MutKalmanTrackParam* StartParam, Double_t StartZ)
                void Smoother()

    public:

            MutKalmanTrack MutKalmanTrack(const MutKalmanTrack& Track)
            MutKalmanTrack MutKalmanTrack(Int_t TrackNumber, TABLE_HEAD_ST* Mumhits_h, MUMHITS_ST* Mumhits, Double_t SigmaR, Double_t SigmaRPhi)
            MutKalmanTrack MutKalmanTrack(long NHits, float** xmeas, float* CathodeAngle, float** res)
              virtual void ~MutKalmanTrack()
                      void AddToChi2(Double_t Chi2M, Double_t Chi2P)
            static TClass* Class()
        MutKalmanTrackHit* FirstHit()
                      void Fit(MutKalmanTrackParam* StartParam, Double_t StartZ)
             TClonesArray* GetTrackHitsPtr()
      MutKalmanTrackParam* GetTrackParamAtVertex()
           virtual TClass* IsA() const
        MutKalmanTrackHit* LastHit()
           MutKalmanTrack& operator=(const MutKalmanTrack& Track)
                      void Print()
                      void SetTrackParamAtVertex(MutKalmanTrackParam* Param)
              virtual void ShowMembers(TMemberInspector& insp, char* parent)
              virtual void Streamer(TBuffer& b)
                      void StreamerNVirtual(TBuffer& b)

  Data Members
    private:

      MutKalmanTrackParam fTrackParamAtVertex  ! Track parameters at vertex
            TClonesArray* fTrackHitsPtr        ! Pointer to array of pointers to TrackHit's
                 Double_t fChi2                ! Chi square of the track

    protected:

Class Description

 Copy constructor
 Track parameters at vertex

 Destructor

 Constructor from the Geant track with track number "TrackNumber".
 One needs the PISA hit table, and more explicitly:
 * a pointer to the header of this table, "Mumhits_h",
 * a pointer to this table, "Mumhits",
 * the Gaussian error for R, "SigmaR",
 * R times the Gaussian error for Phi, "SigmaRPhi"

 Constructor from the same information
 as given to Fortran subroutine "mum_geafit"

 Complete fit of the current MutKalmanTrack
 Argument for starting parameters????
 Return argument for success/failure????
 Assumes that the MutKalmanTrack hits are sorted
 according to increasing values of abs(Z)

 Kalman filter on the current MutKalmanTrack
 Argument for starting parameters????
    (parameters and covariance/weight matrix)
 Return argument for success/failure????
 Assumes that the MutKalmanTrack hits are sorted
 according to increasing values of abs(Z)

 Prediction
 Ppred = F * Pfit (Pfit of the previous plan)
 C_(k/k-1) = F_(k-1) * C_(k-1) * F_(k-1)^{Trans} + MS_(k-1) calculeted in MutKalmanTrackHit

 Kalman smoother on the current MutKalmanTrack
 Return argument for success/failure????
 Assumes that the MutKalmanTrack hits are sorted
 according to increasing values of abs(Z)

 Print method

Inline Functions

             MutKalmanTrack& operator=(const MutKalmanTrack& Track)
        MutKalmanTrackParam* GetTrackParamAtVertex()
                        void SetTrackParamAtVertex(MutKalmanTrackParam* Param)
               TClonesArray* GetTrackHitsPtr()
          MutKalmanTrackHit* FirstHit()
          MutKalmanTrackHit* LastHit()
                        void AddToChi2(Double_t Chi2M, Double_t Chi2P)
              MutKalmanTrack MutKalmanTrack()
                     TClass* Class()
                     TClass* IsA() const
                        void ShowMembers(TMemberInspector& insp, char* parent)
                        void Streamer(TBuffer& b)
                        void StreamerNVirtual(TBuffer& b)