BrTpcHitModule

class description - source file - inheritance tree

class BrTpcHitModule : public BrModule

    private:

        void ConvertClustersToHits()
      Bool_t FindHitWeightedMean(BrTpcCluster* cluster)
        void WeightedMean(const Int_t, const Double_t*, const Double_t*, const Double_t*, Double_t&, Double_t&, Double_t&)

    public:

       BrTpcHitModule BrTpcHitModule()
       BrTpcHitModule BrTpcHitModule(const Char_t* name, const Char_t* title)
       BrTpcHitModule BrTpcHitModule(BrTpcHitModule&)
         virtual void ~BrTpcHitModule()
       static TClass* Class()
         virtual void DefineHistograms()
         virtual void Event(BrEventNode* inNode, BrEventNode* outNode)
         virtual void Init()
      virtual TClass* IsA() const
         virtual void Print(Option_t* option = "B") const
         virtual void SetUseCalibratedWidths(Bool_t val = kFALSE)
         virtual void SetUsePadGain(Bool_t val = kFALSE)
         virtual void SetWhiteNoise(Double_t val = 2)
         virtual void ShowMembers(TMemberInspector& insp, char* parent)
         virtual void Streamer(TBuffer& b)
                 void StreamerNVirtual(TBuffer& b)

Data Members

    private:

              BrDataTable* fClusterTable         cluster input data table
              BrDataTable* fHitTable             hit output table
      BrDetectorParamsTPC* fParams               tpc detector parameters
                    Bool_t fUsePadGain           Flag indicating if gain calibration to be done
         BrTpcCalibration* fCalibration          Tpc calibration pointer - owned by Calibration Manager.
                  Double_t fWhiteNoise           white noise
                    Bool_t fUseCalibratedWidths  use fixed error from calibrations
                     TH2F* hPadTime              Pad-time distribution of hits
                     TH2F* hPadRow               Pad-row distribution of hits
                     TH1F* hX                    local x (pad) distribution of hits
                     TH1F* hY                    local y (time) distribution of hits
                     TH1F* hDx                   error distribution on local x (pad)
                     TH1F* hDy                   error distribution on local y (time)

Class Description

 BrTpcHitModule takes the ouput clusters from BrTpcClusterModule and
 BrTpcDeconvoluteClusterModule and converts them into BrTpcHit(s)
 which are then appended to the outNode

 The method only supports weighted mean methods at the moment and
 the error on the hit is estimated from a settable white noise
 parameter.
 Note: FV 5/7/02 I do not think the error estimate for timing bins
 where a sqrt(adc) count is used. This is not the proper statistics
 since the fluctuation is in total change , not on individual count.
 The use of padresponse widths from a DB is better, but does depend on
 total Charge in clsuter (that comes from initial number of p.e.

 The adcGain can be corrected before calculating avaraged in pad x
 and time bin using database calibration constants. The action is all in the
 weightedmean routines for this.

BrTpcHitModule()

 Default constructor. DO NOT USE

BrTpcHitModule(const Char_t* name, const Char_t* title) : BrModule(name, title)

 Named constructor

void DefineHistograms()

 Define the histograms used to monitor performance
 This method is usually called by BrModule::Book().

void Init()

 Initialiser at job level

void ConvertClustersToHits()

void Event(BrEventNode* inNode, BrEventNode* outNode)

 Main method. Process one event.
 Gets the TPCCluster data from the inputNode
 Extracts the hit position and the error on the hit position.
 It then converts the information to the local hit position and
 store the information as a BrTpcHit in the outputtable

Bool_t FindHitWeightedMean(BrTpcCluster *cluster)

 This is the old FindHits2 method used to calculate the hit
 position of the hits using the weighted mean method

void Print(Option_t* option) const

 Module Information method

 Options: (see also BrModule::Print)

void WeightedMean(const Int_t npts, const Double_t *x, const Double_t *y, const Double_t *dy, Double_t &centroid, Double_t &width, Double_t &uncertainty)

 This is the routine that calculates the best estimate for the
 weighted mean and the error and the width of the distribtuion

Inline Functions

                  void SetWhiteNoise(Double_t val = 2)
                  void SetUseCalibratedWidths(Bool_t val = kFALSE)
                  void SetUsePadGain(Bool_t val = kFALSE)
               TClass* Class()
               TClass* IsA() const
                  void ShowMembers(TMemberInspector& insp, char* parent)
                  void Streamer(TBuffer& b)
                  void StreamerNVirtual(TBuffer& b)
        BrTpcHitModule BrTpcHitModule(BrTpcHitModule&)
                  void ~BrTpcHitModule()

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