PrimaryVertexSorting Class Reference

#include <PrimaryVertexSorting.h>

Public Types
enum	Quality {   UsedInFit = 0, PrimaryDz, BTrack, OtherDz,   NotReconstructedPrimary, Unassigned = 99 }

Public Member Functions
	PrimaryVertexSorting (const edm::ParameterSet &iConfig)
float	score (const reco::Vertex &pv, const std::vector< const reco::Candidate * > &candidates, bool useMet) const
	~PrimaryVertexSorting ()

Detailed Description

Definition at line 15 of file PrimaryVertexSorting.h.

Member Enumeration Documentation

Quality

enum PrimaryVertexSorting::Quality

Enumerator
UsedInFit
PrimaryDz
BTrack
OtherDz
NotReconstructedPrimary
Unassigned

Definition at line 17 of file PrimaryVertexSorting.h.

{ UsedInFit = 0, PrimaryDz, BTrack, OtherDz, NotReconstructedPrimary, Unassigned = 99 };

Constructor & Destructor Documentation

PrimaryVertexSorting()

PrimaryVertexSorting::PrimaryVertexSorting ( const edm::ParameterSet &  iConfig )

inline

Definition at line 19 of file PrimaryVertexSorting.h.

  {}

~PrimaryVertexSorting()

PrimaryVertexSorting::~PrimaryVertexSorting ( )

inline

Definition at line 23 of file PrimaryVertexSorting.h.

{}

Member Function Documentation

score()

float PrimaryVertexSorting::score	(	const reco::Vertex &	pv,
		const std::vector< const reco::Candidate * > &	candidates,
		bool	useMet
	)		const

Definition at line 17 of file PrimaryVertexSorting.cc.

                                                     {
  typedef math::XYZTLorentzVector LorentzVector;
  float sumPt2 = 0;
  float sumEt = 0;
  LorentzVector met;
  std::vector<fastjet::PseudoJet> fjInputs_;
  fjInputs_.clear();
  size_t countScale0 = 0;
  for (size_t i = 0; i < cands.size(); i++) {
    const reco::Candidate *c = cands[i];
    float scale = 1.;
    if (c->bestTrack() != nullptr) {
      if (c->pt() != 0) {
        scale = (c->pt() - c->bestTrack()->ptError()) / c->pt();
      }
      if (edm::isNotFinite(scale)) {
        edm::LogWarning("PrimaryVertexSorting") << "Scaling is NAN ignoring this candidate/track" << std::endl;
        scale = 0;
      }
      if (scale < 0) {
        scale = 0;
        countScale0++;
      }
    }
 
    int absId = abs(c->pdgId());
    if (absId == 13 or absId == 11) {
      float pt = c->pt() * scale;
      sumPt2 += pt * pt;
      met += c->p4() * scale;
      sumEt += c->pt() * scale;
    } else {
      if (scale != 0) {  // otherwise, what is the point to cluster zeroes
        fjInputs_.push_back(fastjet::PseudoJet(c->px() * scale, c->py() * scale, c->pz() * scale, c->p4().E() * scale));
        //      fjInputs_.back().set_user_index(i);
      }
    }
  }
  fastjet::ClusterSequence sequence(fjInputs_, JetDefinition(antikt_algorithm, 0.4));
  auto jets = fastjet::sorted_by_pt(sequence.inclusive_jets(0));
  for (const auto &pj : jets) {
    auto p4 = LorentzVector(pj.px(), pj.py(), pj.pz(), pj.e());
    sumPt2 += (p4.pt() * p4.pt()) * 0.8 * 0.8;
    met += p4;
    sumEt += p4.pt();
  }
  float metAbove = met.pt() - 2 * sqrt(sumEt);
  if (metAbove > 0 and useMet) {
    sumPt2 += metAbove * metAbove;
  }
  if (countScale0 == cands.size())
    sumPt2 = countScale0 * 0.01;  //leave some epsilon value to sort vertices with unknown pt
  return sumPt2;
}

References funct::abs(), HltBtagPostValidation_cff::c, HLT_2018_cff::cands, mps_fire::i, edm::isNotFinite(), singleTopDQM_cfi::jets, BTaggingMonitor_cfi::met, or, p4, DiDispStaMuonMonitor_cfi::pt, Scenarios_cff::scale, mathSSE::sqrt(), objects.METAnalyzer::sumEt, and hotlineDQM_cfi::useMet.

Referenced by PrimaryVertexSorter< ParticlesCollection >::produce().