ClusterAnalysisModule

#include "ClusterAnalysisModule.hh"

ClusterAnalysisModule

class description - source file - inheritance tree (.pdf)

class ClusterAnalysisModule : public RecoModule

Inheritance Chart:

EsafConfigurable

EsafMsgSource

RecoModule

ClusterAnalysisModule

    private:

      Double_t AngularDistance(Double_t, Double_t, Double_t, Double_t)
          void FillSuperCluster()
          void HistoClusters()
          void InitSuperClustering()
          void NewSuperCluster()
          void SearchMainCluster()
          void SearchSuperClusters()
          void WriteSuperCluster()

    public:

                            ClusterAnalysisModule()
                    virtual ~ClusterAnalysisModule()
             static TClass* Class()
        virtual const char* ClassName() const
        virtual const char* ClassType() const
             virtual Bool_t Done()
               EusoCluster* GetCluster(Int_t i)
             virtual Bool_t Init()
            virtual TClass* IsA() const
             virtual Bool_t PostProcess()
             virtual Bool_t PreProcess()
             virtual Bool_t Process(RecoEvent*)
             virtual Bool_t SaveRootData(RecoRootEvent*)
               virtual void ShowMembers(TMemberInspector& insp, char* parent)
               virtual void Streamer(TBuffer& b)
                       void StreamerNVirtual(TBuffer& b)
               virtual void UserMemoryClean()

Data Members

    private:

                RecoEvent* fEv                
            RecoRootEvent* fRecoRootEvent     
                  Double_t fNumThreshold      number of threshold distance to aggregate clusters
                  Double_t fRelNumPointsMin   new clusters will have a num of points min multiplied by this
                  Double_t fRelNumHits        "      "      "    "  "  "   "   hits  "       "     "    " 
                     Int_t fMainCluster       id of most populous cluster
          vector<Double_t> fThetaMean         theta mean for each cluster
          vector<Double_t> fPhiMean           phi mean for each cluster
          vector<Double_t> fDim               mean angular dimension of cluster
                  Double_t fThreshold         distance threshold
             vector<Int_t> fSelectedClusters  
                    Bool_t gDoFit             
      vector<EusoCluster*> fClusters          
                     Int_t fNumSuperClusters  number of superclusters founded
                     Int_t fNumNodes          number of nodes
                     Int_t fNumPointsCluster  number of points in cluster
                     Int_t fCounter           point to be processed
                     Int_t fBookmark          first point of a new cluster
             vector<Int_t> fId                identifier of point
            vector<Bool_t> fFlag1             flag that indicates if a point is already in a cluster
            vector<Bool_t> fFlag2             flag that indicates if a point is already considered in the

Class Description

 ctor

EusoCluster* GetCluster( Int_t i )

Bool_t Init()

Bool_t PreProcess()

Bool_t Process( RecoEvent *ev )

Bool_t PostProcess()

Bool_t SaveRootData(RecoRootEvent *fRecoRootEvent)

Bool_t Done()

void UserMemoryClean()

void SearchMainCluster()

Double_t AngularDistance(Double_t th1, Double_t phi1, Double_t th2, Double_t phi2)

void InitSuperClustering()

void SearchSuperClusters()

void NewSuperCluster()

void FillSuperCluster()

void WriteSuperCluster()

 check cluster significance

void HistoClusters()

Inline Functions

                         void ~ClusterAnalysisModule()
        ClusterAnalysisModule ClusterAnalysisModule()
                  const char* ClassType() const
                  const char* ClassName() const
                      TClass* Class()
                      TClass* IsA() const
                         void ShowMembers(TMemberInspector& insp, char* parent)
                         void Streamer(TBuffer& b)
                         void StreamerNVirtual(TBuffer& b)