pixeltemp::DivisiveClusterizer1D< T > Class Template Reference

#include <DivisiveClusterizer1D.h>

Inheritance diagram for pixeltemp::DivisiveClusterizer1D< T >:

Public Member Functions
DivisiveClusterizer1D *	clone () const override
	DivisiveClusterizer1D (float zoffset=5., int ntkmin=5, bool useError=true, float zsep=0.05, bool wei=true)
std::pair< std::vector < Cluster1D< T > >, std::vector< const T * > >	operator() (const std::vector< Cluster1D< T > > &) const override
void	setBeamSpot (const math::XYZPoint &bs)
	~DivisiveClusterizer1D () override
Public Member Functions inherited from Clusterizer1D< T >
virtual	~Clusterizer1D ()

Private Member Functions
void	findCandidates (const std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &) const
void	insertTracks (std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &) const
std::vector< Cluster1D< T > >	makeCluster1Ds (std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &) const
Cluster1D< T >	mergeCluster1Ds (std::vector< Cluster1D< T > > &) const
std::vector< const T * >	takeTracks (const std::vector< Cluster1D< T > > &) const

Private Attributes
pixeltemp::Cluster1DCleaner< T > *	theCleaner
pixeltemp::Cluster1DMerger< T > *	theMerger
unsigned int	theNTkMin
bool	theUseError
bool	theWei
float	theZOffSet
float	theZSeparation

Detailed Description

template<class T>
class pixeltemp::DivisiveClusterizer1D< T >

Definition at line 19 of file DivisiveClusterizer1D.h.

Constructor & Destructor Documentation

template<class T >

DivisiveClusterizer1D< T >::DivisiveClusterizer1D	(	float	zoffset = 5.,
		int	ntkmin = 5,
		bool	useError = true,
		float	zsep = 0.05,
		bool	wei = true
	)

Parameters

zoffset	maximum distance between track position and position of its cluster (depending on useError its either weighted or physical distance)
ntkmin	Minimum number of tracks required to form a cluster.
useError	physical distances or weighted distances.
zsep	Maximum distance between two adjacent tracks that belong to the same initial cluster.
wei	Compute the cluster "center" with an unweighted or a weighted average of the tracks. Weighted means weighted with the error of the data point.

Definition at line 70 of file DivisiveClusterizer1D.h.

References pixeltemp::DivisiveClusterizer1D< T >::theCleaner, pixeltemp::DivisiveClusterizer1D< T >::theMerger, pixeltemp::DivisiveClusterizer1D< T >::theUseError, and pixeltemp::DivisiveClusterizer1D< T >::theZOffSet.

      : theZOffSet(zoffset), theNTkMin(ntkmin), theUseError(useError), theZSeparation(zsep), theWei(wei) {
    //  theDiscardedTracks.clear();
    // theTotalDiscardedTracks.clear();
    //  theCluster1Ds.clear();
    TrivialWeightEstimator<T> weightEstimator;
    theMerger = new pixeltemp::Cluster1DMerger<T>(weightEstimator);
    theCleaner = new pixeltemp::Cluster1DCleaner<T>(theZOffSet, theUseError);
  }

template<class T >

DivisiveClusterizer1D< T >::~DivisiveClusterizer1D ( )

override

Definition at line 81 of file DivisiveClusterizer1D.h.

                                                   {
    delete theMerger;
    delete theCleaner;
  }

Member Function Documentation

template<class T >

DivisiveClusterizer1D< T > * DivisiveClusterizer1D< T >::clone ( void  ) const

overridevirtual

Implements Clusterizer1D< T >.

Definition at line 96 of file DivisiveClusterizer1D.h.

                                                                  {
    return new DivisiveClusterizer1D<T>(*this);
  }

template<class T>

void DivisiveClusterizer1D< T >::findCandidates ( const std::vector< Cluster1D< T > > &  inputo, std::vector< Cluster1D< T > > &  finalCluster1Ds, std::vector< Cluster1D< T > > &  totDiscardedTracks  ) const

private

Definition at line 101 of file DivisiveClusterizer1D.h.

References HLT_FULL_cff::clusters, input, and trackerHitRTTI::vector.

                                                                                                    {
    using namespace Clusterizer1DCommons;

    std::vector<Cluster1D<T> > input = inputo;
    std::vector<Cluster1D<T> > discardedTracks;
    if (input.size() < (unsigned int)theNTkMin) {
      insertTracks(input, totDiscardedTracks);
      return;
    }
    sort(input.begin(), input.end(), ComparePairs<T>());
    int ncount = 0;
    std::vector<Cluster1D<T> > partOfPTracks;
    partOfPTracks.push_back(input.front());
    for (typename std::vector<Cluster1D<T> >::const_iterator ic = (input.begin()) + 1; ic != input.end(); ic++) {
      ncount++;
      if (fabs((*ic).position().value() - (*(ic - 1)).position().value()) < (double)theZSeparation) {
        partOfPTracks.push_back((*ic));
      } else {
        if (partOfPTracks.size() >= (unsigned int)theNTkMin) {
          std::vector<Cluster1D<T> > clusters = makeCluster1Ds(partOfPTracks, discardedTracks);
          for (typename std::vector<Cluster1D<T> >::const_iterator iclus = clusters.begin(); iclus != clusters.end();
               iclus++) {
            finalCluster1Ds.push_back(*iclus);
          }
          insertTracks(discardedTracks, totDiscardedTracks);
        } else {
          insertTracks(partOfPTracks, totDiscardedTracks);
        }
        partOfPTracks.clear();
        partOfPTracks.push_back((*ic));
      }
    }
    if (partOfPTracks.size() >= (unsigned int)theNTkMin) {
      std::vector<Cluster1D<T> > clusters = makeCluster1Ds(partOfPTracks, discardedTracks);
      for (typename std::vector<Cluster1D<T> >::const_iterator iclus = clusters.begin(); iclus != clusters.end();
           iclus++) {
        finalCluster1Ds.push_back(*iclus);
      }
      insertTracks(discardedTracks, totDiscardedTracks);
    } else {
      insertTracks(partOfPTracks, totDiscardedTracks);
    }

    sort(finalCluster1Ds.begin(), finalCluster1Ds.end(), ComparePairs<T>());
    // reverse(theCluster1Ds.begin(), theCluster1Ds.end());

    return;
  }

template<class T>

void DivisiveClusterizer1D< T >::insertTracks ( std::vector< Cluster1D< T > > &  clusou, std::vector< Cluster1D< T > > &  cludest  ) const

private

Definition at line 192 of file DivisiveClusterizer1D.h.

References trackerHitRTTI::vector.

                                                                                       {
    if (clusou.empty())
      return;
    for (typename std::vector<Cluster1D<T> >::const_iterator iclu = clusou.begin(); iclu != clusou.end(); iclu++) {
      cludest.push_back(*iclu);
    }
    /*
    for ( typename std::vector< Cluster1D<T> >::const_iterator iclu = clu.begin(); 
    iclu != clu.end(); iclu++){
      if (total) {
        theTotalDiscardedTracks.push_back(*iclu);
      }else { 
        theDiscardedTracks.push_back(*iclu);
      }
    }
    */
    return;
  }

template<class T>

std::vector< Cluster1D< T > > DivisiveClusterizer1D< T >::makeCluster1Ds ( std::vector< Cluster1D< T > > &  clusters, std::vector< Cluster1D< T > > &  discardedTracks  ) const

private

Definition at line 153 of file DivisiveClusterizer1D.h.

References HLT_FULL_cff::clusters.

                                                                                           {
    std::vector<Cluster1D<T> > finalCluster1Ds;
    discardedTracks.clear();
    std::vector<Cluster1D<T> > pvClu0 = clusters;
    std::vector<Cluster1D<T> > pvCluNew = pvClu0;
    bool stop = false;
    while (!stop) {
      int nDiscardedAtIteration = 100;
      while (nDiscardedAtIteration != 0) {
        pvCluNew = theCleaner->clusters(pvClu0);
        std::vector<Cluster1D<T> > tracksAtIteration = theCleaner->discardedCluster1Ds();
        nDiscardedAtIteration = tracksAtIteration.size();
        if (nDiscardedAtIteration != 0) {
          insertTracks(tracksAtIteration, discardedTracks);
          pvClu0 = pvCluNew;
        }
      }  // while nDiscardedAtIteration
      unsigned ntkclus = pvCluNew.size();
      unsigned ndiscard = discardedTracks.size();

      if (ntkclus >= theNTkMin) {
        //save the cluster
        finalCluster1Ds.push_back(mergeCluster1Ds(pvCluNew));
        if (ndiscard >= theNTkMin) {  //make a new cluster and reset
          pvClu0 = discardedTracks;
          discardedTracks.clear();
        } else {  //out of loop
          stop = true;
        }
      } else {
        insertTracks(pvCluNew, discardedTracks);
        stop = true;
      }
    }  // while stop
    return finalCluster1Ds;
  }

template<class T>

Cluster1D< T > DivisiveClusterizer1D< T >::mergeCluster1Ds ( std::vector< Cluster1D< T > > &  clusters ) const

private

Definition at line 225 of file DivisiveClusterizer1D.h.

References HLT_FULL_cff::clusters, mps_fire::result, and trackerHitRTTI::vector.

                                                                                                 {
    Cluster1D<T> result = clusters.front();
    for (typename std::vector<Cluster1D<T> >::iterator iclu = (clusters.begin()) + 1; iclu != clusters.end(); iclu++) {
      Cluster1D<T> old = result;
      result = (*theMerger)(old, *iclu);
    }
    return result;
  }

template<class T>

std::pair< std::vector< Cluster1D< T > >, std::vector< const T * > > DivisiveClusterizer1D< T >::operator() ( const std::vector< Cluster1D< T > > &  input ) const

overridevirtual

Implements Clusterizer1D< T >.

Definition at line 87 of file DivisiveClusterizer1D.h.

References input, and convertSQLitetoXML_cfg::output.

                                                   {
    std::vector<Cluster1D<T> > discardedCluster1Ds;
    std::vector<Cluster1D<T> > output;
    findCandidates(input, output, discardedCluster1Ds);
    return std::pair<std::vector<Cluster1D<T> >, std::vector<const T*> >(output, takeTracks(discardedCluster1Ds));
  }

template<class T>

void pixeltemp::DivisiveClusterizer1D< T >::setBeamSpot ( const math::XYZPoint &  bs )

inline

Definition at line 40 of file DivisiveClusterizer1D.h.

Referenced by DivisiveVertexFinder::findVertexesAlt().

{ theMerger->setBeamSpot(bs); }

template<class T>

std::vector< const T * > DivisiveClusterizer1D< T >::takeTracks ( const std::vector< Cluster1D< T > > &  clu ) const

private

Definition at line 213 of file DivisiveClusterizer1D.h.

References mps_fire::i, tracks, and trackerHitRTTI::vector.

                                                                                                    {
    std::vector<const T*> tracks;
    for (typename std::vector<Cluster1D<T> >::const_iterator iclu = clu.begin(); iclu != clu.end(); iclu++) {
      std::vector<const T*> clutks = iclu->tracks();
      for (typename std::vector<const T*>::const_iterator i = clutks.begin(); i != clutks.end(); ++i) {
        tracks.push_back(*i);
      }
    }
    return tracks;
  }

Member Data Documentation

template<class T>

pixeltemp::Cluster1DCleaner<T>* pixeltemp::DivisiveClusterizer1D< T >::theCleaner

private

Definition at line 56 of file DivisiveClusterizer1D.h.

Referenced by pixeltemp::DivisiveClusterizer1D< T >::DivisiveClusterizer1D().

template<class T>

pixeltemp::Cluster1DMerger<T>* pixeltemp::DivisiveClusterizer1D< T >::theMerger

private

Definition at line 55 of file DivisiveClusterizer1D.h.

Referenced by pixeltemp::DivisiveClusterizer1D< T >::DivisiveClusterizer1D(), and pixeltemp::DivisiveClusterizer1D< reco::Track >::setBeamSpot().

template<class T>

unsigned int pixeltemp::DivisiveClusterizer1D< T >::theNTkMin

private

Definition at line 58 of file DivisiveClusterizer1D.h.

template<class T>

bool pixeltemp::DivisiveClusterizer1D< T >::theUseError

private

Definition at line 59 of file DivisiveClusterizer1D.h.

Referenced by pixeltemp::DivisiveClusterizer1D< T >::DivisiveClusterizer1D().

template<class T>

bool pixeltemp::DivisiveClusterizer1D< T >::theWei

private

Definition at line 61 of file DivisiveClusterizer1D.h.

template<class T>

float pixeltemp::DivisiveClusterizer1D< T >::theZOffSet

private

Definition at line 57 of file DivisiveClusterizer1D.h.

Referenced by pixeltemp::DivisiveClusterizer1D< T >::DivisiveClusterizer1D().

template<class T>

float pixeltemp::DivisiveClusterizer1D< T >::theZSeparation

private

Definition at line 60 of file DivisiveClusterizer1D.h.