PrimaryVertexProducer.cc

Go to the documentation of this file.

#include "RecoVertex/PrimaryVertexProducer/interface/PrimaryVertexProducer.h"
#include "DataFormats/VertexReco/interface/VertexFwd.h"
#include "DataFormats/TrackReco/interface/TrackFwd.h"
#include "DataFormats/Common/interface/Handle.h"
#include "FWCore/Framework/interface/MakerMacros.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "FWCore/Utilities/interface/InputTag.h"
 
#include "TrackingTools/TransientTrack/interface/TransientTrack.h"
#include "RecoVertex/VertexPrimitives/interface/TransientVertex.h"
#include "RecoVertex/VertexTools/interface/VertexDistanceXY.h"
 
#include "FWCore/Framework/interface/ESHandle.h"
#include "DataFormats/BeamSpot/interface/BeamSpot.h"
 
#include "RecoVertex/VertexTools/interface/GeometricAnnealing.h"
 
PrimaryVertexProducer::PrimaryVertexProducer(const edm::ParameterSet& conf)
    : theTTBToken(esConsumes(edm::ESInputTag("", "TransientTrackBuilder"))), theConfig(conf) {
  fVerbose = conf.getUntrackedParameter<bool>("verbose", false);
 
  trkToken = consumes<reco::TrackCollection>(conf.getParameter<edm::InputTag>("TrackLabel"));
  bsToken = consumes<reco::BeamSpot>(conf.getParameter<edm::InputTag>("beamSpotLabel"));
  f4D = false;
 
  // 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("PrimaryVertexProducer: 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
  else if (clusteringAlgorithm == "DA_vect") {
    theTrackClusterizer = new DAClusterizerInZ_vect(
        conf.getParameter<edm::ParameterSet>("TkClusParameters").getParameter<edm::ParameterSet>("TkDAClusParameters"));
  } else if (clusteringAlgorithm == "DA2D_vect") {
    theTrackClusterizer = new DAClusterizerInZT_vect(
        conf.getParameter<edm::ParameterSet>("TkClusParameters").getParameter<edm::ParameterSet>("TkDAClusParameters"));
    f4D = true;
  }
 
  else {
    throw VertexException("PrimaryVertexProducer: unknown clustering algorithm: " + clusteringAlgorithm);
  }
 
  if (f4D) {
    trkTimesToken = consumes<edm::ValueMap<float> >(conf.getParameter<edm::InputTag>("TrackTimesLabel"));
    trkTimeResosToken = consumes<edm::ValueMap<float> >(conf.getParameter<edm::InputTag>("TrackTimeResosLabel"));
  }
 
  // 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(GeometricAnnealing(algoconf->getParameter<double>("chi2cutoff")));
      } else {
        throw VertexException("PrimaryVertexProducer: 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);
  }
 
  //check if this is a recovery iteration
  fRecoveryIteration = conf.getParameter<bool>("isRecoveryIteration");
  if (fRecoveryIteration) {
    if (algorithms.empty()) {
      throw VertexException("PrimaryVertexProducer: No algorithm specified. ");
    } else if (algorithms.size() > 1) {
      throw VertexException(
          "PrimaryVertexProducer: Running in Recovery mode and more than one algorithm specified.  Please "
          "only one algorithm.");
    }
    recoveryVtxToken = consumes<reco::VertexCollection>(conf.getParameter<edm::InputTag>("recoveryVtxCollection"));
  }
}
 
PrimaryVertexProducer::~PrimaryVertexProducer() {
  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;
  }
}
 
void PrimaryVertexProducer::produce(edm::Event& iEvent, const edm::EventSetup& iSetup) {
  // get the BeamSpot, it will always be needed, even when not used as a constraint
  reco::BeamSpot beamSpot;
  edm::Handle<reco::BeamSpot> recoBeamSpotHandle;
  iEvent.getByToken(bsToken, 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();
  }
 
  //if this is a recovery iteration, check if we already have a valid PV
  if (fRecoveryIteration) {
    auto const& oldVertices = iEvent.get(recoveryVtxToken);
    //look for the first valid (not-BeamSpot) vertex
    for (auto const& old : oldVertices) {
      if (!(old.isFake())) {
        //found a valid vertex, write the first one to the collection and return
        //otherwise continue with regular vertexing procedure
        auto result = std::make_unique<reco::VertexCollection>();
        result->push_back(old);
        iEvent.put(std::move(result), algorithms.begin()->label);
        return;
      }
    }
  }
 
  // get RECO tracks from the event
  // `tks` can be used as a ptr to a reco::TrackCollection
  edm::Handle<reco::TrackCollection> tks;
  iEvent.getByToken(trkToken, tks);
 
  // interface RECO tracks to vertex reconstruction
  const auto& theB = &iSetup.getData(theTTBToken);
  std::vector<reco::TransientTrack> t_tks;
 
  if (f4D) {
    edm::Handle<edm::ValueMap<float> > trackTimesH;
    edm::Handle<edm::ValueMap<float> > trackTimeResosH;
    iEvent.getByToken(trkTimesToken, trackTimesH);
    iEvent.getByToken(trkTimeResosToken, trackTimeResosH);
    t_tks = (*theB).build(tks, beamSpot, *(trackTimesH.product()), *(trackTimeResosH.product()));
  } else {
    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++) {
    auto result = std::make_unique<reco::VertexCollection>();
    reco::VertexCollection& vColl = (*result);
 
    std::vector<TransientVertex> pvs;
    for (std::vector<std::vector<reco::TransientTrack> >::const_iterator iclus = clusters.begin();
         iclus != clusters.end();
         iclus++) {
      double sumwt = 0.;
      double sumwt2 = 0.;
      double sumw = 0.;
      double meantime = 0.;
      double vartime = 0.;
      if (f4D) {
        for (const auto& tk : *iclus) {
          const double time = tk.timeExt();
          const double err = tk.dtErrorExt();
          const double inverr = err > 0. ? 1.0 / err : 0.;
          const double w = inverr * inverr;
          sumwt += w * time;
          sumwt2 += w * time * time;
          sumw += w;
        }
        meantime = sumwt / sumw;
        double sumsq = sumwt2 - sumwt * sumwt / sumw;
        double chisq = iclus->size() > 1 ? sumsq / double(iclus->size() - 1) : sumsq / double(iclus->size());
        vartime = chisq / sumw;
      }
 
      TransientVertex v;
      if (algorithm->useBeamConstraint && validBS && ((*iclus).size() > 1)) {
        v = algorithm->fitter->vertex(*iclus, beamSpot);
 
        if (f4D) {
          if (v.isValid()) {
            auto err = v.positionError().matrix4D();
            auto trkweightMap3d = v.weightMap();  // copy the 3 fit weights
            err(3, 3) = vartime;
            v = TransientVertex(v.position(), meantime, err, v.originalTracks(), v.totalChiSquared());
            v.weightMap(trkweightMap3d);
          }
        }
 
      } else if (!(algorithm->useBeamConstraint) && ((*iclus).size() > 1)) {
        v = algorithm->fitter->vertex(*iclus);
 
        if (f4D) {
          if (v.isValid()) {
            auto err = v.positionError().matrix4D();
            err(3, 3) = vartime;
            v = TransientVertex(v.position(), meantime, err, v.originalTracks(), v.totalChiSquared());
          }
        }
 
      }  // else: no fit ==> v.isValid()=False
 
      if (fVerbose) {
        if (v.isValid()) {
          std::cout << "x,y,z";
          if (f4D)
            std::cout << ",t";
          std::cout << "=" << v.position().x() << " " << v.position().y() << " " << v.position().z();
          if (f4D)
            std::cout << " " << v.time();
          std::cout << " cluster size = " << (*iclus).size() << std::endl;
        } else {
          std::cout << "Invalid fitted vertex,  cluster size=" << (*iclus).size() << std::endl;
        }
      }
 
      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;
    }
 
    if (clusters.size() > 2 && clusters.size() > 2 * pvs.size())
      edm::LogWarning("PrimaryVertexProducer")
          << "more than half of candidate vertices lost " << pvs.size() << ' ' << clusters.size();
 
    if (pvs.empty() && seltks.size() > 5)
      edm::LogWarning("PrimaryVertexProducer")
          << "no vertex found with " << seltks.size() << " tracks and " << clusters.size() << " vertex-candidates";
 
    // 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();
        if (f4D) {
          std::cout << " t " << std::setw(6) << v->t() << " dt " << std::setw(6) << v->tError();
        }
        std::cout << std::endl;
      }
    }
 
    iEvent.put(std::move(result), algorithm->label);
  }
}
 
void PrimaryVertexProducer::fillDescriptions(edm::ConfigurationDescriptions& descriptions) {
  // offlinePrimaryVertices
  edm::ParameterSetDescription desc;
  {
    edm::ParameterSetDescription vpsd1;
    vpsd1.add<double>("maxDistanceToBeam", 1.0);
    vpsd1.add<std::string>("algorithm", "AdaptiveVertexFitter");
    vpsd1.add<bool>("useBeamConstraint", false);
    vpsd1.add<std::string>("label", "");
    vpsd1.add<double>("chi2cutoff", 2.5);
    vpsd1.add<double>("minNdof", 0.0);
    std::vector<edm::ParameterSet> temp1;
    temp1.reserve(2);
    {
      edm::ParameterSet temp2;
      temp2.addParameter<double>("maxDistanceToBeam", 1.0);
      temp2.addParameter<std::string>("algorithm", "AdaptiveVertexFitter");
      temp2.addParameter<bool>("useBeamConstraint", false);
      temp2.addParameter<std::string>("label", "");
      temp2.addParameter<double>("chi2cutoff", 2.5);
      temp2.addParameter<double>("minNdof", 0.0);
      temp1.push_back(temp2);
    }
    {
      edm::ParameterSet temp2;
      temp2.addParameter<double>("maxDistanceToBeam", 1.0);
      temp2.addParameter<std::string>("algorithm", "AdaptiveVertexFitter");
      temp2.addParameter<bool>("useBeamConstraint", true);
      temp2.addParameter<std::string>("label", "WithBS");
      temp2.addParameter<double>("chi2cutoff", 2.5);
      temp2.addParameter<double>("minNdof", 2.0);
      temp1.push_back(temp2);
    }
    desc.addVPSet("vertexCollections", vpsd1, temp1);
  }
  desc.addUntracked<bool>("verbose", false);
  {
    edm::ParameterSetDescription psd0;
    TrackFilterForPVFinding::fillPSetDescription(psd0);
    psd0.add<int>("numTracksThreshold", 0);  // HI only
    desc.add<edm::ParameterSetDescription>("TkFilterParameters", psd0);
  }
  desc.add<edm::InputTag>("beamSpotLabel", edm::InputTag("offlineBeamSpot"));
  desc.add<edm::InputTag>("TrackLabel", edm::InputTag("generalTracks"));
  desc.add<edm::InputTag>("TrackTimeResosLabel", edm::InputTag("dummy_default"));  // 4D only
  desc.add<edm::InputTag>("TrackTimesLabel", edm::InputTag("dummy_default"));      // 4D only
 
  {
    edm::ParameterSetDescription psd0;
    {
      edm::ParameterSetDescription psd1;
      DAClusterizerInZT_vect::fillPSetDescription(psd1);
      psd0.add<edm::ParameterSetDescription>("TkDAClusParameters", psd1);
 
      edm::ParameterSetDescription psd2;
      GapClusterizerInZ::fillPSetDescription(psd2);
      psd0.add<edm::ParameterSetDescription>("TkGapClusParameters", psd2);
    }
    psd0.add<std::string>("algorithm", "DA_vect");
    desc.add<edm::ParameterSetDescription>("TkClusParameters", psd0);
  }
 
  desc.add<bool>("isRecoveryIteration", false);
  desc.add<edm::InputTag>("recoveryVtxCollection", {""});
 
  descriptions.add("primaryVertexProducer", desc);
}
 
//define this as a plug-in
DEFINE_FWK_MODULE(PrimaryVertexProducer);