#include <RecoVertex/PrimaryVertexProducer/src/PrimaryVertexProducer.cc>

Inheritance diagram for PrimaryVertexProducer:

Classes
struct	algo
Public Member Functions
edm::ParameterSet	config () const
	PrimaryVertexProducer (const edm::ParameterSet &)
virtual void	produce (edm::Event &, const edm::EventSetup &)
	~PrimaryVertexProducer ()
Public Attributes
edm::InputTag	beamSpotLabel
edm::InputTag	trackLabel
Private Attributes
std::vector< algo >	algorithms
bool	fVerbose
edm::ParameterSet	theConfig
TrackClusterizerInZ *	theTrackClusterizer
TrackFilterForPVFindingBase *	theTrackFilter

Detailed Description

Description: steers tracker primary vertex reconstruction and storage

Implementation: <Notes on="" implementation>="">

Definition at line 56 of file PrimaryVertexProducer.h.

Constructor & Destructor Documentation

PrimaryVertexProducer::PrimaryVertexProducer ( const edm::ParameterSet & conf ) [explicit]

Definition at line 19 of file PrimaryVertexProducer.cc.

References algorithm(), algorithms, beamSpotLabel, edm::ParameterSet::exists(), PrimaryVertexProducer::algo::fitter, fVerbose, edm::ParameterSet::getParameter(), edm::ParameterSet::getUntrackedParameter(), PrimaryVertexProducer::algo::label, PrimaryVertexProducer::algo::minNdof, theTrackClusterizer, theTrackFilter, trackLabel, PrimaryVertexProducer::algo::useBeamConstraint, and PrimaryVertexProducer::algo::vertexSelector.

  :theConfig(conf)
{

  fVerbose   = conf.getUntrackedParameter<bool>("verbose", false);
  trackLabel = conf.getParameter<edm::InputTag>("TrackLabel");
  beamSpotLabel = conf.getParameter<edm::InputTag>("beamSpotLabel");


  // select and configure the track selection
  std::string trackSelectionAlgorithm=conf.getParameter<edm::ParameterSet>("TkFilterParameters").getParameter<std::string>("algorithm");
  if(trackSelectionAlgorithm=="filter"){
    theTrackFilter= new TrackFilterForPVFinding( conf.getParameter<edm::ParameterSet>("TkFilterParameters") );
  }else if (trackSelectionAlgorithm=="filterWithThreshold"){
    theTrackFilter= new HITrackFilterForPVFinding(conf.getParameter<edm::ParameterSet>("TkFilterParameters"));
  }else{
    throw VertexException("PrimaryVertexProducerAlgorithm: unknown track selection algorithm: " + trackSelectionAlgorithm);  
  }


  // select and configure the track clusterizer
  std::string clusteringAlgorithm=conf.getParameter<edm::ParameterSet>("TkClusParameters").getParameter<std::string>("algorithm");
  if (clusteringAlgorithm=="gap"){
    theTrackClusterizer = new GapClusterizerInZ(conf.getParameter<edm::ParameterSet>("TkClusParameters").getParameter<edm::ParameterSet>("TkGapClusParameters"));
  }else if(clusteringAlgorithm=="DA"){
    theTrackClusterizer = new DAClusterizerInZ(conf.getParameter<edm::ParameterSet>("TkClusParameters").getParameter<edm::ParameterSet>("TkDAClusParameters"));
  }
  // provide the vectorized version of the clusterizer, if supported by the build
#ifdef __GXX_EXPERIMENTAL_CXX0X__
   else if(clusteringAlgorithm == "DA_vect") {
    theTrackClusterizer = new DAClusterizerInZ_vect(conf.getParameter<edm::ParameterSet>("TkClusParameters").getParameter<edm::ParameterSet>("TkDAClusParameters"));
  }
#endif


  else{
    throw VertexException("PrimaryVertexProducerAlgorithm: unknown clustering algorithm: " + clusteringAlgorithm);  
  }


  // select and configure the vertex fitters
  if (conf.exists("vertexCollections")){
    std::vector<edm::ParameterSet> vertexCollections =conf.getParameter< std::vector<edm::ParameterSet> >("vertexCollections");

    for( std::vector< edm::ParameterSet >::const_iterator algoconf = vertexCollections.begin(); algoconf != vertexCollections.end(); algoconf++){
      
      algo algorithm;
      std::string fitterAlgorithm = algoconf->getParameter<std::string>("algorithm");
      if (fitterAlgorithm=="KalmanVertexFitter") {
        algorithm.fitter= new KalmanVertexFitter();
      } else if( fitterAlgorithm=="AdaptiveVertexFitter") {
        algorithm.fitter= new AdaptiveVertexFitter();
      } else {
        throw VertexException("PrimaryVertexProducerAlgorithm: unknown algorithm: " + fitterAlgorithm);  
      }
      algorithm.label = algoconf->getParameter<std::string>("label");
      algorithm.minNdof = algoconf->getParameter<double>("minNdof");
      algorithm.useBeamConstraint=algoconf->getParameter<bool>("useBeamConstraint");
      algorithm.vertexSelector=new VertexCompatibleWithBeam(VertexDistanceXY(), algoconf->getParameter<double>("maxDistanceToBeam"));
      algorithms.push_back(algorithm);
      
      produces<reco::VertexCollection>(algorithm.label);
    }
  }else{
    edm::LogWarning("MisConfiguration")<<"this module's configuration has changed, please update to have a vertexCollections=cms.VPSet parameter.";

    algo algorithm;
    std::string fitterAlgorithm = conf.getParameter<std::string>("algorithm");
    if (fitterAlgorithm=="KalmanVertexFitter") {
      algorithm.fitter= new KalmanVertexFitter();
    } else if( fitterAlgorithm=="AdaptiveVertexFitter") {
      algorithm.fitter= new AdaptiveVertexFitter();
    } else {
      throw VertexException("PrimaryVertexProducerAlgorithm: unknown algorithm: " + fitterAlgorithm);  
    }
    algorithm.label = "";
    algorithm.minNdof = conf.getParameter<double>("minNdof");
    algorithm.useBeamConstraint=conf.getParameter<bool>("useBeamConstraint");
    
    algorithm.vertexSelector=new VertexCompatibleWithBeam(VertexDistanceXY(), conf.getParameter<edm::ParameterSet>("PVSelParameters").getParameter<double>("maxDistanceToBeam"));

    algorithms.push_back(algorithm);
    produces<reco::VertexCollection>(algorithm.label);
  }
 

}

PrimaryVertexProducer::~PrimaryVertexProducer ( )

Definition at line 108 of file PrimaryVertexProducer.cc.

References algorithm(), algorithms, theTrackClusterizer, and theTrackFilter.

                                              {
  if (theTrackFilter) delete theTrackFilter;
  if (theTrackClusterizer) delete theTrackClusterizer;
  for( std::vector <algo>::const_iterator algorithm=algorithms.begin(); algorithm!=algorithms.end(); algorithm++){
    if (algorithm->fitter) delete algorithm->fitter;
    if (algorithm->vertexSelector) delete algorithm->vertexSelector;
  }
}

Member Function Documentation

edm::ParameterSet PrimaryVertexProducer::config ( void ) const [inline]

Definition at line 64 of file PrimaryVertexProducer.h.

References theConfig.

{ return theConfig; }

void PrimaryVertexProducer::produce	(	edm::Event &	iEvent,
		const edm::EventSetup &	iSetup
	)		`[virtual]`

Implements edm::EDProducer.

Definition at line 119 of file PrimaryVertexProducer.cc.

References algorithm(), algorithms, SiPixelRawToDigiRegional_cfi::beamSpot, beamSpotLabel, TrackClusterizerInZ::clusterize(), gather_cfg::cout, GlobalErrorBase< T, ErrorWeightType >::cxx(), GlobalErrorBase< T, ErrorWeightType >::cyy(), GlobalErrorBase< T, ErrorWeightType >::czz(), TransientVertex::degreesOfFreedom(), VertexState::error(), fVerbose, edm::EventSetup::get(), edm::Event::getByLabel(), edm::HandleBase::isValid(), TransientVertex::isValid(), GlobalErrorBase< T, ErrorWeightType >::matrix(), TransientVertex::position(), reco::BeamSpot::position(), edm::Event::put(), query::result, reco::BeamSpot::rotatedCovariance3D(), TrackFilterForPVFindingBase::select(), python::multivaluedict::sort(), theTrackClusterizer, theTrackFilter, trackLabel, v, PV3DBase< T, PVType, FrameType >::x(), PV3DBase< T, PVType, FrameType >::y(), and PV3DBase< T, PVType, FrameType >::z().

{

  // get the BeamSpot, it will alwys be needed, even when not used as a constraint
  reco::BeamSpot beamSpot;
  edm::Handle<reco::BeamSpot> recoBeamSpotHandle;
  iEvent.getByLabel(beamSpotLabel,recoBeamSpotHandle);
  if (recoBeamSpotHandle.isValid()){
    beamSpot = *recoBeamSpotHandle;
  }else{
    edm::LogError("UnusableBeamSpot") << "No beam spot available from EventSetup";
  }

  bool validBS = true;
  VertexState beamVertexState(beamSpot);
  if ( (beamVertexState.error().cxx() <= 0.) || 
       (beamVertexState.error().cyy() <= 0.) ||
       (beamVertexState.error().czz() <= 0.) ) {
    validBS = false;
    edm::LogError("UnusableBeamSpot") << "Beamspot with invalid errors "<<beamVertexState.error().matrix();
  }


  // get RECO tracks from the event
  // `tks` can be used as a ptr to a reco::TrackCollection
  edm::Handle<reco::TrackCollection> tks;
  iEvent.getByLabel(trackLabel, tks);


  // interface RECO tracks to vertex reconstruction
  edm::ESHandle<TransientTrackBuilder> theB;
  iSetup.get<TransientTrackRecord>().get("TransientTrackBuilder",theB);
  std::vector<reco::TransientTrack> t_tks = (*theB).build(tks, beamSpot);
  if(fVerbose) {std::cout << "RecoVertex/PrimaryVertexProducer"
                     << "Found: " << t_tks.size() << " reconstructed tracks" << "\n";
  }


  // select tracks
  std::vector<reco::TransientTrack> seltks = theTrackFilter->select( t_tks );


  // clusterize tracks in Z
  std::vector< std::vector<reco::TransientTrack> > clusters =  theTrackClusterizer->clusterize(seltks);
  if (fVerbose){std::cout <<  " clustering returned  "<< clusters.size() << " clusters  from " << seltks.size() << " selected tracks" <<std::endl;}


  // vertex fits
  for( std::vector <algo>::const_iterator algorithm=algorithms.begin(); algorithm!=algorithms.end(); algorithm++){


    std::auto_ptr<reco::VertexCollection> result(new reco::VertexCollection);
    reco::VertexCollection vColl;


    std::vector<TransientVertex> pvs;
    for (std::vector< std::vector<reco::TransientTrack> >::const_iterator iclus
           = clusters.begin(); iclus != clusters.end(); iclus++) {


      TransientVertex v; 
      if( algorithm->useBeamConstraint && validBS &&((*iclus).size()>1) ){
        
        v = algorithm->fitter->vertex(*iclus, beamSpot);
        
      }else if( !(algorithm->useBeamConstraint) && ((*iclus).size()>1) ) {
      
        v = algorithm->fitter->vertex(*iclus); 
        
      }// else: no fit ==> v.isValid()=False


      if (fVerbose){
        if (v.isValid()) std::cout << "x,y,z=" << v.position().x() <<" " << v.position().y() << " " <<  v.position().z() << std::endl;
        else std::cout <<"Invalid fitted vertex\n";
      }

      if (v.isValid() 
            && (v.degreesOfFreedom()>=algorithm->minNdof) 
          && (!validBS || (*(algorithm->vertexSelector))(v,beamVertexState))
          ) pvs.push_back(v);
    }// end of cluster loop

    if(fVerbose){
      std::cout << "PrimaryVertexProducerAlgorithm::vertices  candidates =" << pvs.size() << std::endl;
    }



    

    // sort vertices by pt**2  vertex (aka signal vertex tagging)
    if(pvs.size()>1){
      sort(pvs.begin(), pvs.end(), VertexHigherPtSquared());
    }



    // convert transient vertices returned by the theAlgo to (reco) vertices
    for (std::vector<TransientVertex>::const_iterator iv = pvs.begin();
         iv != pvs.end(); iv++) {
      reco::Vertex v = *iv;
      vColl.push_back(v);
    }

    if (vColl.empty()) {
      GlobalError bse(beamSpot.rotatedCovariance3D());
      if ( (bse.cxx() <= 0.) || 
           (bse.cyy() <= 0.) ||
           (bse.czz() <= 0.) ) {
        AlgebraicSymMatrix33 we;
        we(0,0)=10000; we(1,1)=10000; we(2,2)=10000;
        vColl.push_back(reco::Vertex(beamSpot.position(), we,0.,0.,0));
        if(fVerbose){
          std::cout <<"RecoVertex/PrimaryVertexProducer: "
                    << "Beamspot with invalid errors "<<bse.matrix()<<std::endl;
          std::cout << "Will put Vertex derived from dummy-fake BeamSpot into Event.\n";
        }
      } else {
        vColl.push_back(reco::Vertex(beamSpot.position(), 
                                     beamSpot.rotatedCovariance3D(),0.,0.,0));
        if(fVerbose){
          std::cout <<"RecoVertex/PrimaryVertexProducer: "
                    << " will put Vertex derived from BeamSpot into Event.\n";
        }
      }
    }

    if(fVerbose){
      int ivtx=0;
      for(reco::VertexCollection::const_iterator v=vColl.begin(); 
          v!=vColl.end(); ++v){
        std::cout << "recvtx "<< ivtx++ 
                  << "#trk " << std::setw(3) << v->tracksSize()
                  << " chi2 " << std::setw(4) << v->chi2() 
                  << " ndof " << std::setw(3) << v->ndof() 
                  << " x "  << std::setw(6) << v->position().x() 
                  << " dx " << std::setw(6) << v->xError()
                  << " y "  << std::setw(6) << v->position().y() 
                  << " dy " << std::setw(6) << v->yError()
                  << " z "  << std::setw(6) << v->position().z() 
                  << " dz " << std::setw(6) << v->zError()
                  << std::endl;
      }
    }

  
    *result = vColl;
    iEvent.put(result, algorithm->label); 
  }
  
}