l1tVertexFinder::VertexFinder Class Reference

#include <VertexFinder.h>

Classes
struct	SortTracksByPt
struct	SortTracksByZ0
	Helper structs/classes. More...

Public Member Functions
void	adaptiveVertexReconstruction ()
	Adaptive Vertex Reconstruction algorithm. More...
void	agglomerativeHierarchicalClustering ()
	Simple Merge Algorithm. More...
void	associatePrimaryVertex (double trueZ0)
	Associate the primary vertex with the real one. More...
float	centralDistance (RecoVertex<> cluster0, RecoVertex<> cluster1)
	Find distance between centres of two clusters. More...
void	computeAndSetVertexParameters (RecoVertex<> &vertex, const std::vector< float > &bin_centers, const std::vector< unsigned int > &counts)
	Vertexing algorithms. More...
void	DBSCAN ()
	DBSCAN algorithm. More...
void	fastHisto (const TrackerTopology *tTopo)
	Histogramming algorithm. More...
void	fastHistoEmulation ()
	Histogramming algorithm (emulation) More...
void	fastHistoLooseAssociation ()
	High pT Vertex Algorithm. More...
void	findPrimaryVertex ()
	Find the primary vertex. More...
const FitTrackCollection &	fitTracks () const
	Accessors. More...
void	GapClustering ()
	Gap Clustering Algorithm. More...
void	HPV ()
	High pT Vertex Algorithm. More...
unsigned int	iterationsPerTrack () const
	Number of iterations. More...
void	Kmeans ()
	Kmeans Algorithm. More...
float	maxDistance (RecoVertex<> cluster0, RecoVertex<> cluster1)
	Find maximum distance in two clusters of tracks. More...
float	meanDistance (RecoVertex<> cluster0, RecoVertex<> cluster1)
	Find average distance in two clusters of tracks. More...
float	minDistance (RecoVertex<> cluster0, RecoVertex<> cluster1)
	Find minimum distance in two clusters of tracks. More...
unsigned int	numInputTracks () const
	Storage for tracks out of the L1 Track finder. More...
unsigned int	numIterations () const
	Number of iterations. More...
unsigned int	numVertices () const
	Number of reconstructed vertices. More...
unsigned int	numVerticesEmulation () const
	Number of emulation vertices. More...
template<typename T >
T	PrimaryVertex () const
	Reconstructed primary vertex. More...
unsigned int	primaryVertexId () const
	Reconstructed Primary Vertex Id. More...
template<class data_type , typename stream_type = std::ostream>
void	printHistogram (stream_type &stream, std::vector< data_type > data, int width=80, int minimum=0, int maximum=-1, std::string title="", std::string color="")
	Print an ASCII histogram. More...
void	PVR ()
	Find maximum distance in two clusters of tracks. More...
void	sortVerticesInPt ()
	Sort vertices in pT. More...
void	sortVerticesInZ0 ()
	Sort vertices in z. More...
template<typename ForwardIterator , typename T >
void	strided_iota (ForwardIterator first, ForwardIterator last, T value, T stride)
	VertexFinder (FitTrackCollection &fitTracks, const AlgoSettings &settings)
	Constructor and destructor. More...
const std::vector< RecoVertex<> > &	vertices () const
	Returns the z positions of the reconstructed primary vertices. More...
const l1t::VertexWordCollection &	verticesEmulation () const
	Returns the emulation primary vertices. More...
	~VertexFinder ()

Private Attributes
FitTrackCollection	fitTracks_
unsigned int	iterations_
unsigned int	numMatchedVertices_
unsigned int	pv_index_
const AlgoSettings *	settings_
RecoVertexCollection	vertices_
l1t::VertexWordCollection	verticesEmulation_

Detailed Description

Definition at line 24 of file VertexFinder.h.

Constructor & Destructor Documentation

VertexFinder()

l1tVertexFinder::VertexFinder::VertexFinder ( FitTrackCollection &  fitTracks, const AlgoSettings &  settings  )

inline

Constructor and destructor.

Definition at line 27 of file VertexFinder.h.

References fitTracks(), fitTracks_, and settings_.

                                                                              {
      fitTracks_ = fitTracks;
      settings_ = &settings;
    }

~VertexFinder()

l1tVertexFinder::VertexFinder::~VertexFinder ( )

inline

Definition at line 31 of file VertexFinder.h.

{}

Member Function Documentation

adaptiveVertexReconstruction()

void l1tVertexFinder::VertexFinder::adaptiveVertexReconstruction

(

)

Adaptive Vertex Reconstruction algorithm.

Definition at line 311 of file VertexFinder.cc.

References funct::abs(), hltPixelTracks_cff::chi2, or, HLT_2022v12_cff::track, bphysicsOniaDQM_cfi::vertex, and l1tVertexFinder::L1Track::z0().

Referenced by VertexProducer::produce().

                                                  {
    bool start = true;
    iterations_ = 0;
    FitTrackCollection discardedTracks, acceptedTracks, discardedTracks2;

    for (const L1Track& track : fitTracks_) {
      discardedTracks.push_back(track);
    }

    while (discardedTracks.size() >= settings_->vx_minTracks() or start == true) {
      start = false;
      discardedTracks2.clear();
      FitTrackCollection::iterator it = discardedTracks.begin();
      const L1Track track = *it;
      acceptedTracks.push_back(track);
      float z0sum = track.z0();

      for (FitTrackCollection::iterator it2 = discardedTracks.begin(); it2 < discardedTracks.end(); ++it2) {
        if (it2 != it) {
          const L1Track secondTrack = *it2;
          // Calculate new vertex z0 adding this track
          z0sum += secondTrack.z0();
          float z0vertex = z0sum / (acceptedTracks.size() + 1);
          // Calculate chi2 of new vertex
          float chi2 = 0.;
          float dof = 0.;
          for (const L1Track& accTrack : acceptedTracks) {
            iterations_++;
            float Residual = accTrack.z0() - z0vertex;
            if (std::abs(accTrack.eta()) < 1.2)
              Residual /= 0.1812;  // Assumed z0 resolution
            else if (std::abs(accTrack.eta()) >= 1.2 && std::abs(accTrack.eta()) < 1.6)
              Residual /= 0.2912;
            else if (std::abs(accTrack.eta()) >= 1.6 && std::abs(accTrack.eta()) < 2.)
              Residual /= 0.4628;
            else
              Residual /= 0.65;

            chi2 += Residual * Residual;
            dof = (acceptedTracks.size() + 1) * 2 - 1;
          }
          if (chi2 / dof < settings_->vx_chi2cut()) {
            acceptedTracks.push_back(secondTrack);
          } else {
            discardedTracks2.push_back(secondTrack);
            z0sum -= secondTrack.z0();
          }
        }
      }

      if (acceptedTracks.size() >= settings_->vx_minTracks()) {
        RecoVertex vertex;
        for (const L1Track& track : acceptedTracks) {
          vertex.insert(&track);
        }
        computeAndSetVertexParameters(vertex, {}, {});
        vertices_.push_back(vertex);
      }

      acceptedTracks.clear();
      discardedTracks.clear();
      discardedTracks = discardedTracks2;
    }
  }

agglomerativeHierarchicalClustering()

void l1tVertexFinder::VertexFinder::agglomerativeHierarchicalClustering

(

)

Simple Merge Algorithm.

Definition at line 129 of file VertexFinder.cc.

References mps_fire::i, particleFlowClusterHGC_cfi::maxDistance, or, jetUpdater_cfi::sort, HLT_2022v12_cff::track, and tracks.

Referenced by VertexProducer::produce().

                                                         {
    iterations_ = 0;

    sort(fitTracks_.begin(), fitTracks_.end(), SortTracksByZ0());

    RecoVertexCollection vClusters;
    vClusters.resize(fitTracks_.size());

    for (unsigned int i = 0; i < fitTracks_.size(); ++i) {
      vClusters[i].insert(&fitTracks_[i]);
      // iterations_++;
    }

    while (true) {
      float MinimumScore = 9999;

      unsigned int clusterId0 = 0;
      unsigned int clusterId1 = 0;
      for (unsigned int iClust = 0; iClust < vClusters.size() - 1; iClust++) {
        iterations_++;

        float M = 0;
        if (settings_->vx_distanceType() == 0)
          M = maxDistance(vClusters[iClust], vClusters[iClust + 1]);
        else if (settings_->vx_distanceType() == 1)
          M = minDistance(vClusters[iClust], vClusters[iClust + 1]);
        else if (settings_->vx_distanceType() == 2)
          M = meanDistance(vClusters[iClust], vClusters[iClust + 1]);
        else
          M = centralDistance(vClusters[iClust], vClusters[iClust + 1]);

        if (M < MinimumScore) {
          MinimumScore = M;
          clusterId0 = iClust;
          clusterId1 = iClust + 1;
        }
      }
      if (MinimumScore > settings_->vx_distance() or vClusters[clusterId1].tracks().empty())
        break;
      for (const L1Track* track : vClusters[clusterId0].tracks()) {
        vClusters[clusterId1].insert(track);
      }
      vClusters.erase(vClusters.begin() + clusterId0);
    }

    for (RecoVertex clust : vClusters) {
      if (clust.numTracks() >= settings_->vx_minTracks()) {
        computeAndSetVertexParameters(clust, {}, {});
        vertices_.push_back(clust);
      }
    }
  }

associatePrimaryVertex()

void l1tVertexFinder::VertexFinder::associatePrimaryVertex

(

double

trueZ0

)

Associate the primary vertex with the real one.

Definition at line 598 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::distance, triggerObjects_cff::id, and HLTMuonOfflineAnalyzer_cfi::z0.

                                                         {
    double distance = 999.;
    for (unsigned int id = 0; id < vertices_.size(); ++id) {
      if (std::abs(trueZ0 - vertices_[id].z0()) < distance) {
        distance = std::abs(trueZ0 - vertices_[id].z0());
        pv_index_ = id;
      }
    }
  }

centralDistance()

float l1tVertexFinder::VertexFinder::centralDistance	(	RecoVertex<>	cluster0,
		RecoVertex<>	cluster1
	)

Find distance between centres of two clusters.

Definition at line 122 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::distance, and l1tVertexFinder::RecoVertex< T >::z0().

                                                                                  {
    computeAndSetVertexParameters(cluster0, {}, {});
    computeAndSetVertexParameters(cluster1, {}, {});
    float distance = std::abs(cluster0.z0() - cluster1.z0());
    return distance;
  }

computeAndSetVertexParameters()

void l1tVertexFinder::VertexFinder::computeAndSetVertexParameters	(	RecoVertex<> &	vertex,
		const std::vector< float > &	bin_centers,
		const std::vector< unsigned int > &	counts
	)

Vertexing algorithms.

Compute the vertex parameters

Definition at line 7 of file VertexFinder.cc.

References funct::abs(), dqmiodumpmetadata::counts, funct::pow(), DiDispStaMuonMonitor_cfi::pt, mathSSE::sqrt(), HLT_2022v12_cff::track, listHistos::trackPt, bphysicsOniaDQM_cfi::vertex, and HLTMuonOfflineAnalyzer_cfi::z0.

                                                                                          {
    double pt = 0.;
    double z0 = -999.;
    double z0width = 0.;
    bool highPt = false;
    double highestPt = 0.;
    unsigned int numHighPtTracks = 0;

    float SumZ = 0.;
    float z0square = 0.;
    float trackPt = 0.;

    std::vector<double> bin_pt(bin_centers.size(), 0.0);
    unsigned int ibin = 0;
    unsigned int itrack = 0;

    for (const L1Track* track : vertex.tracks()) {
      itrack++;
      trackPt = track->pt();

      // Skip the bins with no tracks
      while (ibin < counts.size() && counts[ibin] == 0)
        ibin++;

      if (trackPt > settings_->vx_TrackMaxPt()) {
        highPt = true;
        numHighPtTracks++;
        highestPt = (trackPt > highestPt) ? trackPt : highestPt;
        if (settings_->vx_TrackMaxPtBehavior() == 0)
          continue;  // ignore this track
        else if (settings_->vx_TrackMaxPtBehavior() == 1)
          trackPt = settings_->vx_TrackMaxPt();  // saturate
      }

      pt += std::pow(trackPt, settings_->vx_weightedmean());
      if (bin_centers.empty() && counts.empty()) {
        SumZ += track->z0() * std::pow(trackPt, settings_->vx_weightedmean());
        z0square += track->z0() * track->z0();
      } else {
        bin_pt[ibin] += std::pow(trackPt, settings_->vx_weightedmean());
        if (itrack == counts[ibin]) {
          SumZ += bin_centers[ibin] * bin_pt[ibin];
          z0square += bin_centers[ibin] * bin_centers[ibin];
          itrack = 0;
          ibin++;
        }
      }
    }

    z0 = SumZ / ((settings_->vx_weightedmean() > 0) ? pt : vertex.numTracks());
    z0square /= vertex.numTracks();
    z0width = sqrt(std::abs(z0 * z0 - z0square));

    vertex.setParameters(pt, z0, z0width, highPt, numHighPtTracks, highestPt);
  }

DBSCAN()

void l1tVertexFinder::VertexFinder::DBSCAN

(

)

DBSCAN algorithm.

Definition at line 182 of file VertexFinder.cc.

References funct::abs(), spr::find(), mps_fire::i, triggerObjects_cff::id, globals_cff::id2, dqmdumpme::k, DiDispStaMuonMonitor_cfi::pt, jetUpdater_cfi::sort, bphysicsOniaDQM_cfi::vertex, class-composition::visited, and HLTMuonOfflineAnalyzer_cfi::z0.

Referenced by VertexProducer::produce().

                            {
    // std::vector<RecoVertex> vClusters;
    std::vector<unsigned int> visited;
    std::vector<unsigned int> saved;

    sort(fitTracks_.begin(), fitTracks_.end(), SortTracksByPt());
    iterations_ = 0;

    for (unsigned int i = 0; i < fitTracks_.size(); ++i) {
      if (find(visited.begin(), visited.end(), i) != visited.end())
        continue;

      // if(fitTracks_[i]->pt()>10.){
      visited.push_back(i);
      std::set<unsigned int> neighbourTrackIds;
      unsigned int numDensityTracks = 0;
      if (fitTracks_[i].pt() > settings_->vx_dbscan_pt())
        numDensityTracks++;
      else
        continue;
      for (unsigned int k = 0; k < fitTracks_.size(); ++k) {
        iterations_++;
        if (k != i and std::abs(fitTracks_[k].z0() - fitTracks_[i].z0()) < settings_->vx_distance()) {
          neighbourTrackIds.insert(k);
          if (fitTracks_[k].pt() > settings_->vx_dbscan_pt()) {
            numDensityTracks++;
          }
        }
      }

      if (numDensityTracks < settings_->vx_dbscan_mintracks()) {
        // mark track as noise
      } else {
        RecoVertex vertex;
        vertex.insert(&fitTracks_[i]);
        saved.push_back(i);
        for (unsigned int id : neighbourTrackIds) {
          if (find(visited.begin(), visited.end(), id) == visited.end()) {
            visited.push_back(id);
            std::vector<unsigned int> neighbourTrackIds2;
            for (unsigned int k = 0; k < fitTracks_.size(); ++k) {
              iterations_++;
              if (std::abs(fitTracks_[k].z0() - fitTracks_[id].z0()) < settings_->vx_distance()) {
                neighbourTrackIds2.push_back(k);
              }
            }

            // if (neighbourTrackIds2.size() >= settings_->vx_minTracks()) {
            for (unsigned int id2 : neighbourTrackIds2) {
              neighbourTrackIds.insert(id2);
            }
            // }
          }
          if (find(saved.begin(), saved.end(), id) == saved.end())
            vertex.insert(&fitTracks_[id]);
        }
        computeAndSetVertexParameters(vertex, {}, {});
        if (vertex.numTracks() >= settings_->vx_minTracks())
          vertices_.push_back(vertex);
      }
      // }
    }
  }

fastHisto()

void l1tVertexFinder::VertexFinder::fastHisto

(

const TrackerTopology *

tTopo

)

Histogramming algorithm.

Definition at line 632 of file VertexFinder.cc.

References funct::abs(), reco::ceil(), dqmiodumpmetadata::counts, HLT_2022v12_cff::distance, mps_fire::end, spr::find(), newFWLiteAna::found, gpuVertexFinder::hist, mps_fire::i, createfilelist::int, dqmiolumiharvest::j, dqm-mbProfile::log, LaserClient_cfi::nbins, GetRecoTauVFromDQM_MC_cff::next, StripSubdetector::TID, TrackerTopology::tidRing(), createJobs::tmp, StripSubdetector::TOB, TrackerTopology::tobLayer(), HLT_2022v12_cff::track, align::Tracker, HcalDetIdTransform::transform(), pfDeepBoostedJetPreprocessParams_cfi::upper_bound, and findQualityFiles::v.

Referenced by VertexProducer::produce().

                                                           {
    // Create the histogram
    int nbins =
        std::ceil((settings_->vx_histogram_max() - settings_->vx_histogram_min()) / settings_->vx_histogram_binwidth());
    std::vector<RecoVertex<>> hist(nbins);
    std::vector<RecoVertex<>> sums(nbins - settings_->vx_windowSize());
    std::vector<float> bounds(nbins + 1);
    strided_iota(std::begin(bounds),
                 std::next(std::begin(bounds), nbins + 1),
                 settings_->vx_histogram_min(),
                 settings_->vx_histogram_binwidth());

    // Loop over the tracks and fill the histogram
    for (const L1Track& track : fitTracks_) {
      if ((track.z0() < settings_->vx_histogram_min()) || (track.z0() > settings_->vx_histogram_max()))
        continue;
      if (track.getTTTrackPtr()->chi2() > settings_->vx_TrackMaxChi2())
        continue;
      if (track.pt() < settings_->vx_TrackMinPt())
        continue;

      // Get the number of stubs and the number of stubs in PS layers
      float nPS = 0., nstubs = 0;

      // Get pointers to stubs associated to the L1 track
      const auto& theStubs = track.getTTTrackPtr()->getStubRefs();
      if (theStubs.empty()) {
        edm::LogWarning("VertexFinder") << "fastHisto::Could not retrieve the vector of stubs.";
        continue;
      }

      // Loop over the stubs
      for (const auto& stub : theStubs) {
        nstubs++;
        bool isPS = false;
        DetId detId(stub->getDetId());
        if (detId.det() == DetId::Detector::Tracker) {
          if (detId.subdetId() == StripSubdetector::TOB && tTopo->tobLayer(detId) <= 3)
            isPS = true;
          else if (detId.subdetId() == StripSubdetector::TID && tTopo->tidRing(detId) <= 9)
            isPS = true;
        }
        if (isPS)
          nPS++;
      }  // End loop over stubs
      if (nstubs < settings_->vx_NStubMin())
        continue;
      if (nPS < settings_->vx_NStubPSMin())
        continue;

      // Quality cuts, may need to be re-optimized
      int trk_nstub = (int)track.getTTTrackPtr()->getStubRefs().size();
      float chi2dof = track.getTTTrackPtr()->chi2() / (2 * trk_nstub - 4);

      if (settings_->vx_DoPtComp()) {
        float trk_consistency = track.getTTTrackPtr()->stubPtConsistency();
        if (trk_nstub == 4) {
          if (std::abs(track.eta()) < 2.2 && trk_consistency > 10)
            continue;
          else if (std::abs(track.eta()) > 2.2 && chi2dof > 5.0)
            continue;
        }
      }
      if (settings_->vx_DoTightChi2()) {
        if (track.pt() > 10.0 && chi2dof > 5.0)
          continue;
      }

      // Assign the track to the correct vertex
      // The values are ordered with bounds [lower, upper)
      // Values below bounds.begin() return 0 as the index (underflow)
      // Values above bounds.end() will return the index of the last bin (overflow)
      auto upper_bound = std::upper_bound(bounds.begin(), bounds.end(), track.z0());
      int index = std::distance(bounds.begin(), upper_bound) - 1;
      if (index == -1)
        index = 0;
      hist.at(index).insert(&track);
    }  // end loop over tracks

    // Compute the sums
    // sliding windows ... sum_i_i+(w-1) where i in (0,nbins-w) and w is the window size
    std::vector<float> bin_centers(settings_->vx_windowSize(), 0.0);
    std::vector<unsigned int> counts(settings_->vx_windowSize(), 0);
    for (unsigned int i = 0; i < sums.size(); i++) {
      for (unsigned int j = 0; j < settings_->vx_windowSize(); j++) {
        bin_centers[j] = settings_->vx_histogram_min() + ((i + j) * settings_->vx_histogram_binwidth()) +
                         (0.5 * settings_->vx_histogram_binwidth());
        counts[j] = hist.at(i + j).numTracks();
        sums.at(i) += hist.at(i + j);
      }
      computeAndSetVertexParameters(sums.at(i), bin_centers, counts);
    }

    // Find the maxima of the sums
    float sigma_max = -999;
    int imax = -999;
    std::vector<int> found;
    found.reserve(settings_->vx_nvtx());
    for (unsigned int ivtx = 0; ivtx < settings_->vx_nvtx(); ivtx++) {
      sigma_max = -999;
      imax = -999;
      for (unsigned int i = 0; i < sums.size(); i++) {
        // Skip this window if it will already be returned
        if (find(found.begin(), found.end(), i) != found.end())
          continue;
        if (sums.at(i).pt() > sigma_max) {
          sigma_max = sums.at(i).pt();
          imax = i;
        }
      }
      found.push_back(imax);
      vertices_.emplace_back(sums.at(imax));
    }
    pv_index_ = 0;

    if (settings_->debug() >= 1) {
      edm::LogInfo log("VertexProducer");
      log << "fastHisto::Checking the output parameters ... \n";
      std::vector<double> tmp;
      std::transform(std::begin(sums), std::end(sums), std::back_inserter(tmp), [](const RecoVertex<>& v) -> double {
        return v.pt();
      });
      printHistogram<double, edm::LogInfo>(log, tmp, 80, 0, -1, "fastHisto::sums", "\e[92m");
      for (unsigned int i = 0; i < found.size(); i++) {
        log << "RecoVertex " << i << ": bin index = " << found[i] << "\tsumPt = " << sums.at(imax).pt()
            << "\tz0 = " << sums.at(imax).z0();
      }
    }
  }  // end of fastHisto

fastHistoEmulation()

void l1tVertexFinder::VertexFinder::fastHistoEmulation

(

)

Histogramming algorithm (emulation)

Definition at line 762 of file VertexFinder.cc.

References cms::cuda::assert(), b, newFWLiteAna::bin, l1tVertexFinder::BitsToRepresent(), reco::ceil(), filterCSVwithJSON::copy, spr::find(), dqmMemoryStats::float, newFWLiteAna::found, gpuVertexFinder::hist, mps_fire::i, cuy::ii, createfilelist::int, dqm-mbProfile::log, LaserClient_cfi::nbins, DiDispStaMuonMonitor_cfi::pt, TTTrack_TrackWord::stepZ0, HLT_2022v12_cff::track, validateGeometry_cfg::valid, w(), and HLTMuonOfflineAnalyzer_cfi::z0.

Referenced by VertexProducer::produce().

                                        {
    // Relevant constants for the track word
    enum TrackBitWidths {
      kZ0Size = 12,             // Width of z-position (40cm / 0.1)
      kZ0MagSize = 5,           // Width of z-position magnitude (signed)
      kPtSize = 14,             // Width of pt
      kPtMagSize = 9,           // Width of pt magnitude (unsigned)
      kReducedPrecisionPt = 7,  // Width of the reduced precision, integer only, pt
    };

    enum HistogramBitWidths {
      kBinSize = 10,                    // Width of a single bin in z
      kBinFixedSize = 7,                // Width of a single z0 bin in fixed point representation
      kBinFixedMagSize = 4,             // Width (magnitude) of a single z0 bin in fixed point representation
      kSlidingSumSize = 11,             // Width of the sum of a window of bins
      kInverseSize = 14,                // Width of the inverse sum
      kInverseMagSize = 1,              // Width of the inverse sum magnitude (unsigned)
      kWeightedSlidingSumSize = 20,     // Width of the pT weighted sliding sum
      kWeightedSlidingSumMagSize = 10,  // Width of the pT weighted sliding sum magnitude (signed)
      kWindowSize = 3,                  // Number of bins in the window used to sum histogram bins
      kSumPtLinkSize = 9,  // Number of bits used to represent the sum of track pts in a single bin from a single link
      kSumPtWindowBits = BitsToRepresent(HistogramBitWidths::kWindowSize * (1 << HistogramBitWidths::kSumPtLinkSize)),
    };

    static constexpr unsigned int kTableSize =
        ((1 << HistogramBitWidths::kSumPtLinkSize) - 1) * HistogramBitWidths::kWindowSize;
    static constexpr double kZ0Scale =
        (TTTrack_TrackWord::stepZ0 *
         (1 << (TrackBitWidths::kZ0Size - TrackBitWidths::kZ0MagSize)));  // scale = 1.27932032

    typedef ap_ufixed<TrackBitWidths::kPtSize, TrackBitWidths::kPtMagSize, AP_RND_CONV, AP_SAT> pt_t;
    typedef ap_fixed<TrackBitWidths::kZ0Size, TrackBitWidths::kZ0MagSize, AP_RND_CONV, AP_SAT> z0_t;
    // 7 bits chosen to represent values between [0,127]
    // This is the next highest power of 2 value to our chosen track pt saturation value (100)
    typedef ap_ufixed<TrackBitWidths::kReducedPrecisionPt, TrackBitWidths::kReducedPrecisionPt, AP_RND_INF, AP_SAT>
        track_pt_fixed_t;
    // Histogram bin index
    typedef ap_uint<HistogramBitWidths::kBinSize> histbin_t;
    // Histogram bin in fixed point representation, before truncation
    typedef ap_ufixed<HistogramBitWidths::kBinFixedSize, HistogramBitWidths::kBinFixedMagSize, AP_RND_INF, AP_SAT>
        histbin_fixed_t;
    // This value is slightly arbitrary, but small enough that the windows sums aren't too big.
    typedef ap_ufixed<HistogramBitWidths::kSumPtLinkSize, HistogramBitWidths::kSumPtLinkSize, AP_RND_INF, AP_SAT>
        link_pt_sum_fixed_t;
    // Enough bits to store HistogramBitWidths::kWindowSize * (2**HistogramBitWidths::kSumPtLinkSize)
    typedef ap_ufixed<HistogramBitWidths::kSumPtWindowBits, HistogramBitWidths::kSumPtWindowBits, AP_RND_INF, AP_SAT>
        window_pt_sum_fixed_t;
    // pt weighted sum of bins in window
    typedef ap_fixed<HistogramBitWidths::kWeightedSlidingSumSize,
                     HistogramBitWidths::kWeightedSlidingSumMagSize,
                     AP_RND_INF,
                     AP_SAT>
        zsliding_t;
    // Sum of histogram bins in window
    typedef ap_uint<HistogramBitWidths::kSlidingSumSize> slidingsum_t;
    // Inverse of sum of bins in a given window
    typedef ap_ufixed<HistogramBitWidths::kInverseSize, HistogramBitWidths::kInverseMagSize, AP_RND_INF, AP_SAT>
        inverse_t;

    auto track_quality_check = [&](const track_pt_fixed_t& pt) -> bool {
      // track quality cuts
      if (pt.to_double() < settings_->vx_TrackMinPt())
        return false;
      return true;
    };

    auto fetch_bin = [&](const z0_t& z0, int nbins) -> std::pair<histbin_t, bool> {
      histbin_t bin = (z0 * histbin_fixed_t(1.0 / settings_->vx_histogram_binwidth())) +
                      histbin_t(std::floor(
                          nbins / 2.));  // Rounding down (std::floor) taken care of by implicitly casting to ap_uint
      if (settings_->debug() > 2) {
        edm::LogInfo("VertexProducer")
            << "fastHistoEmulation::fetchBin() Checking the mapping from z0 to bin index ... \n"
            << "histbin_fixed_t(1.0 / settings_->vx_histogram_binwidth()) = "
            << histbin_fixed_t(1.0 / settings_->vx_histogram_binwidth()) << "\n"
            << "histbin_t(std::floor(nbins / 2) = " << histbin_t(std::floor(nbins / 2.)) << "\n"
            << "z0 = " << z0 << "\n"
            << "bin = " << bin;
      }
      bool valid = true;
      if (bin < 0) {
        return std::make_pair(0, false);
      } else if (bin > (nbins - 1)) {
        return std::make_pair(0, false);
      }
      return std::make_pair(bin, valid);
    };

    // Replace with https://stackoverflow.com/questions/13313980/populate-an-array-using-constexpr-at-compile-time ?
    auto init_inversion_table = [&]() -> std::vector<inverse_t> {
      std::vector<inverse_t> table_out(kTableSize, 0.);
      for (unsigned int ii = 0; ii < kTableSize; ii++) {
        // First, convert from table index to X-value (unsigned 8-bit, range 0 to +1533)
        float in_val = 1533.0 * (ii / float(kTableSize));
        // Next, compute lookup table function
        table_out.at(ii) = (in_val > 0) ? (1.0 / in_val) : 0.0;
      }
      return table_out;
    };

    auto inversion = [&](slidingsum_t& data_den) -> inverse_t {
      std::vector<inverse_t> inversion_table = init_inversion_table();

      // Index into the lookup table based on data
      int index;
      if (data_den < 0)
        data_den = 0;
      if (data_den > (kTableSize - 1))
        data_den = kTableSize - 1;
      index = data_den;
      return inversion_table.at(index);
    };

    auto bin_center = [&](zsliding_t iz, int nbins) -> z0_t {
      zsliding_t z = iz - histbin_t(std::floor(nbins / 2.));
      std::unique_ptr<edm::LogInfo> log;
      if (settings_->debug() >= 1) {
        log = std::make_unique<edm::LogInfo>("VertexProducer");
        *log << "bin_center information ...\n"
             << "iz = " << iz << "\n"
             << "histbin_t(std::floor(nbins / 2.)) = " << histbin_t(std::floor(nbins / 2.)) << "\n"
             << "binwidth = " << zsliding_t(settings_->vx_histogram_binwidth()) << "\n"
             << "z = " << z << "\n"
             << "zsliding_t(z * zsliding_t(binwidth)) = " << std::setprecision(7)
             << z0_t(z * zsliding_t(settings_->vx_histogram_binwidth()));
      }
      return z0_t(z * zsliding_t(settings_->vx_histogram_binwidth()));
    };

    auto weighted_position = [&](histbin_t b_max,
                                 const std::vector<link_pt_sum_fixed_t>& binpt,
                                 slidingsum_t maximums,
                                 int nbins) -> zsliding_t {
      zsliding_t zvtx_sliding = 0;
      slidingsum_t zvtx_sliding_sum = 0;
      inverse_t inv = 0;

      std::unique_ptr<edm::LogInfo> log;
      if (settings_->debug() >= 1) {
        log = std::make_unique<edm::LogInfo>("VertexProducer");
        *log << "Progression of weighted_position() ...\n"
             << "zvtx_sliding_sum = ";
      }

      // Find the weighted position within the window in index space (width = 1)
      for (ap_uint<BitsToRepresent(HistogramBitWidths::kWindowSize)> w = 0; w < HistogramBitWidths::kWindowSize; ++w) {
        zvtx_sliding_sum += (binpt.at(w) * w);
        if (settings_->debug() >= 1) {
          *log << "(" << w << " * " << binpt.at(w) << ")";
          if (w < HistogramBitWidths::kWindowSize - 1) {
            *log << " + ";
          }
        }
      }

      if (settings_->debug() >= 1) {
        *log << " = " << zvtx_sliding_sum << "\n";
      }

      if (maximums != 0) {
        inv = inversion(maximums);
        zvtx_sliding = zvtx_sliding_sum * inv;
      } else {
        zvtx_sliding = (settings_->vx_windowSize() / 2.0) + (((int(settings_->vx_windowSize()) % 2) != 0) ? 0.5 : 0.0);
      }
      if (settings_->debug() >= 1) {
        *log << "inversion(" << maximums << ") = " << inv << "\nzvtx_sliding = " << zvtx_sliding << "\n";
      }

      // Add the starting index plus half an index to shift the z position to its weighted position (still in inxex space) within all of the bins
      zvtx_sliding += b_max;
      zvtx_sliding += ap_ufixed<1, 0>(0.5);
      if (settings_->debug() >= 1) {
        *log << "b_max = " << b_max << "\n";
        *log << "zvtx_sliding + b_max + 0.5 = " << zvtx_sliding << "\n";
      }

      // Shift the z position from index space into z [cm] space
      zvtx_sliding = bin_center(zvtx_sliding, nbins);
      if (settings_->debug() >= 1) {
        *log << "bin_center(zvtx_sliding + b_max + 0.5, nbins) = " << std::setprecision(7) << zvtx_sliding;
        log.reset();
      }
      return zvtx_sliding;
    };

    // Create the histogram
    unsigned int nbins =
        std::ceil((settings_->vx_histogram_max() - settings_->vx_histogram_min()) / settings_->vx_histogram_binwidth());
    unsigned int nsums = nbins - settings_->vx_windowSize();
    std::vector<link_pt_sum_fixed_t> hist(nbins, 0);

    // Loop over the tracks and fill the histogram
    if (settings_->debug() > 2) {
      edm::LogInfo("VertexProducer") << "fastHistoEmulation::Processing " << fitTracks_.size() << " tracks";
    }
    for (const L1Track& track : fitTracks_) {
      // Get the track pt and z0
      // Convert them to an appropriate data format
      // Truncation and saturdation taken care of by the data type specification
      pt_t tkpt = 0;
      tkpt.V = track.getTTTrackPtr()->getTrackWord()(TTTrack_TrackWord::TrackBitLocations::kRinvMSB - 1,
                                                     TTTrack_TrackWord::TrackBitLocations::kRinvLSB);
      track_pt_fixed_t pt_tmp = tkpt;
      //z0_t tkZ0 = track.getTTTrackPtr()->getZ0();
      z0_t tkZ0 = 0;
      tkZ0.V = track.getTTTrackPtr()->getTrackWord()(TTTrack_TrackWord::TrackBitLocations::kZ0MSB,
                                                     TTTrack_TrackWord::TrackBitLocations::kZ0LSB);
      ap_ufixed<32, 1> kZ0Scale_fixed = kZ0Scale;
      tkZ0 *= kZ0Scale_fixed;

      if ((settings_->vx_DoQualityCuts() && track_quality_check(tkpt)) || (!settings_->vx_DoQualityCuts())) {
        //
        // Check bin validity of bin found for the current track
        //
        std::pair<histbin_t, bool> bin = fetch_bin(tkZ0, nbins);
        assert(bin.first >= 0 && bin.first < nbins);

        //
        // If the bin is valid then sum the tracks
        //
        if (settings_->debug() > 2) {
          edm::LogInfo("VertexProducer") << "fastHistoEmulation::Checking the track word ... \n"
                                         << "track word = " << track.getTTTrackPtr()->getTrackWord().to_string(2)
                                         << "\n"
                                         << "tkZ0 = " << tkZ0.to_double() << "(" << tkZ0.to_string(2)
                                         << ")\ttkpt = " << tkpt.to_double() << "(" << tkpt.to_string(2)
                                         << ")\tpt_tmp = " << pt_tmp << "\tbin = " << bin.first.to_int() << "\n"
                                         << "pt sum in bin " << bin.first.to_int()
                                         << " BEFORE adding track = " << hist.at(bin.first).to_double();
        }
        if (bin.second) {
          hist.at(bin.first) = hist.at(bin.first) + pt_tmp;
        }
        if (settings_->debug() > 2) {
          edm::LogInfo("VertexProducer") << "fastHistoEmulation::\npt sum in bin " << bin.first.to_int()
                                         << " AFTER adding track = " << hist.at(bin.first).to_double();
        }
      } else {
        if (settings_->debug() > 2) {
          edm::LogInfo("VertexProducer") << "fastHistoEmulation::Did not add the following track ... \n"
                                         << "track word = " << track.getTTTrackPtr()->getTrackWord().to_string(2)
                                         << "\n"
                                         << "tkZ0 = " << tkZ0.to_double() << "(" << tkZ0.to_string(2)
                                         << ")\ttkpt = " << tkpt.to_double() << "(" << tkpt.to_string(2)
                                         << ")\tpt_tmp = " << pt_tmp;
        }
      }
    }  // end loop over tracks

    // Loop through all bins, taking into account the fact that the last bin is nbins-window_width+1,
    // and compute the sums using sliding windows ... sum_i_i+(w-1) where i in (0,nbins-w) and w is the window size
    std::vector<window_pt_sum_fixed_t> hist_window_sums(nsums, 0);
    for (unsigned int b = 0; b < nsums; ++b) {
      for (unsigned int w = 0; w < HistogramBitWidths::kWindowSize; ++w) {
        unsigned int index = b + w;
        hist_window_sums.at(b) += hist.at(index);
      }
    }

    // Find the top N vertices
    std::vector<int> found;
    found.reserve(settings_->vx_nvtx());
    for (unsigned int ivtx = 0; ivtx < settings_->vx_nvtx(); ivtx++) {
      histbin_t b_max = 0;
      window_pt_sum_fixed_t max_pt = 0;
      zsliding_t zvtx_sliding = -999;
      std::vector<link_pt_sum_fixed_t> binpt_max(HistogramBitWidths::kWindowSize, 0);

      // Find the maxima of the sums
      for (unsigned int i = 0; i < hist_window_sums.size(); i++) {
        // Skip this window if it will already be returned
        if (find(found.begin(), found.end(), i) != found.end())
          continue;
        if (hist_window_sums.at(i) > max_pt) {
          b_max = i;
          max_pt = hist_window_sums.at(b_max);
          std::copy(std::begin(hist) + b_max,
                    std::begin(hist) + b_max + HistogramBitWidths::kWindowSize,
                    std::begin(binpt_max));

          // Find the weighted position only for the highest sum pt window
          zvtx_sliding = weighted_position(b_max, binpt_max, max_pt, nbins);
        }
      }
      if (settings_->debug() >= 1) {
        edm::LogInfo log("VertexProducer");
        log << "fastHistoEmulation::Checking the output parameters ... \n";
        if (found.empty()) {
          printHistogram<link_pt_sum_fixed_t, edm::LogInfo>(log, hist, 80, 0, -1, "fastHistoEmulation::hist", "\e[92m");
          printHistogram<window_pt_sum_fixed_t, edm::LogInfo>(
              log, hist_window_sums, 80, 0, -1, "fastHistoEmulation::hist_window_sums", "\e[92m");
        }
        printHistogram<link_pt_sum_fixed_t, edm::LogInfo>(
            log, binpt_max, 80, 0, -1, "fastHistoEmulation::binpt_max", "\e[92m");
        log << "bin index (not a VertexWord parameter) = " << b_max << "\n"
            << "sumPt = " << max_pt.to_double() << "\n"
            << "z0 = " << zvtx_sliding.to_double();
      }
      found.push_back(b_max);
      verticesEmulation_.emplace_back(l1t::VertexWord::vtxvalid_t(1),
                                      l1t::VertexWord::vtxz0_t(zvtx_sliding),
                                      l1t::VertexWord::vtxmultiplicity_t(0),
                                      l1t::VertexWord::vtxsumpt_t(max_pt),
                                      l1t::VertexWord::vtxquality_t(0),
                                      l1t::VertexWord::vtxinversemult_t(0),
                                      l1t::VertexWord::vtxunassigned_t(0));
    }
    pv_index_ = 0;
  }  // end of fastHistoEmulation

fastHistoLooseAssociation()

void l1tVertexFinder::VertexFinder::fastHistoLooseAssociation

(

)

High pT Vertex Algorithm.

Definition at line 608 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::track, and bphysicsOniaDQM_cfi::vertex.

Referenced by VertexProducer::produce().

                                               {
    float vxPt = 0.;
    RecoVertex leading_vertex;

    for (float z = settings_->vx_histogram_min(); z < settings_->vx_histogram_max();
         z += settings_->vx_histogram_binwidth()) {
      RecoVertex vertex;
      for (const L1Track& track : fitTracks_) {
        if (std::abs(z - track.z0()) < settings_->vx_width()) {
          vertex.insert(&track);
        }
      }
      computeAndSetVertexParameters(vertex, {}, {});
      vertex.setZ0(z);
      if (vertex.pt() > vxPt) {
        leading_vertex = vertex;
        vxPt = vertex.pt();
      }
    }

    vertices_.emplace_back(leading_vertex);
    pv_index_ = 0;  // by default fastHistoLooseAssociation algorithm finds only hard PV
  }                 // end of fastHistoLooseAssociation

findPrimaryVertex()

void l1tVertexFinder::VertexFinder::findPrimaryVertex

(

)

Find the primary vertex.

Definition at line 445 of file VertexFinder.cc.

References HLT_2022v12_cff::distance, l1tVertexFinder::RecoVertex< T >::pt(), and l1t::VertexWord::pt().

Referenced by VertexProducer::produce().

                                       {
    if (settings_->vx_precision() == Precision::Emulation) {
      pv_index_ = std::distance(verticesEmulation_.begin(),
                                std::max_element(verticesEmulation_.begin(),
                                                 verticesEmulation_.end(),
                                                 [](const l1t::VertexWord& vertex0, const l1t::VertexWord& vertex1) {
                                                   return (vertex0.pt() < vertex1.pt());
                                                 }));
    } else {
      pv_index_ = std::distance(
          vertices_.begin(),
          std::max_element(
              vertices_.begin(), vertices_.end(), [](const RecoVertex<>& vertex0, const RecoVertex<>& vertex1) {
                return (vertex0.pt() < vertex1.pt());
              }));
    }
  }

fitTracks()

const FitTrackCollection& l1tVertexFinder::VertexFinder::fitTracks ( ) const

inline

Accessors.

Storage for tracks out of the L1 Track finder

Definition at line 47 of file VertexFinder.h.

References fitTracks_.

Referenced by VertexFinder().

{ return fitTracks_; }

GapClustering()

void l1tVertexFinder::VertexFinder::GapClustering

(

)

Gap Clustering Algorithm.

Definition at line 65 of file VertexFinder.cc.

References mps_fire::i, l1tVertexFinder::Vertex::insert(), l1tVertexFinder::Vertex::numTracks(), or, jetUpdater_cfi::sort, and HltBtagValidation_cff::Vertex.

Referenced by VertexProducer::produce().

                                   {
    sort(fitTracks_.begin(), fitTracks_.end(), SortTracksByZ0());
    iterations_ = 0;
    RecoVertex Vertex;
    for (unsigned int i = 0; i < fitTracks_.size(); ++i) {
      Vertex.insert(&fitTracks_[i]);
      iterations_++;
      if ((i + 1 < fitTracks_.size() and fitTracks_[i + 1].z0() - fitTracks_[i].z0() > settings_->vx_distance()) or
          i == fitTracks_.size() - 1) {
        if (Vertex.numTracks() >= settings_->vx_minTracks()) {
          computeAndSetVertexParameters(Vertex, {}, {});
          vertices_.push_back(Vertex);
        }
        Vertex.clear();
      }
    }
  }

HPV()

void l1tVertexFinder::VertexFinder::HPV

(

)

High pT Vertex Algorithm.

Definition at line 376 of file VertexFinder.cc.

References funct::abs(), first, jetUpdater_cfi::sort, HLT_2022v12_cff::track, and bphysicsOniaDQM_cfi::vertex.

Referenced by VertexProducer::produce().

                         {
    iterations_ = 0;
    sort(fitTracks_.begin(), fitTracks_.end(), SortTracksByPt());

    RecoVertex vertex;
    bool first = true;
    float z = 99.;
    for (const L1Track& track : fitTracks_) {
      if (track.pt() < 50.) {
        if (first) {
          first = false;
          z = track.z0();
          vertex.insert(&track);
        } else {
          if (std::abs(track.z0() - z) < settings_->vx_distance())
            vertex.insert(&track);
        }
      }
    }

    computeAndSetVertexParameters(vertex, {}, {});
    vertex.setZ0(z);
    vertices_.push_back(vertex);
  }

iterationsPerTrack()

unsigned int l1tVertexFinder::VertexFinder::iterationsPerTrack ( ) const

inline

Number of iterations.

Definition at line 49 of file VertexFinder.h.

References fitTracks_, and iterations_.

{ return double(iterations_) / double(fitTracks_.size()); }

Kmeans()

void l1tVertexFinder::VertexFinder::Kmeans

(

)

Kmeans Algorithm.

Definition at line 401 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::distance, mps_fire::i, triggerObjects_cff::id, fastsim::Constants::NA, and HLT_2022v12_cff::track.

Referenced by VertexProducer::produce().

                            {
    unsigned int NumberOfClusters = settings_->vx_kmeans_nclusters();

    vertices_.resize(NumberOfClusters);
    float ClusterSeparation = 30. / NumberOfClusters;

    for (unsigned int i = 0; i < NumberOfClusters; ++i) {
      float ClusterCentre = -15. + ClusterSeparation * (i + 0.5);
      vertices_[i].setZ0(ClusterCentre);
    }
    unsigned int iterations = 0;
    // Initialise Clusters
    while (iterations < settings_->vx_kmeans_iterations()) {
      for (unsigned int i = 0; i < NumberOfClusters; ++i) {
        vertices_[i].clear();
      }

      for (const L1Track& track : fitTracks_) {
        float distance = 9999;
        if (iterations == settings_->vx_kmeans_iterations() - 3)
          distance = settings_->vx_distance() * 2;
        if (iterations > settings_->vx_kmeans_iterations() - 3)
          distance = settings_->vx_distance();
        unsigned int ClusterId;
        bool NA = true;
        for (unsigned int id = 0; id < NumberOfClusters; ++id) {
          if (std::abs(track.z0() - vertices_[id].z0()) < distance) {
            distance = std::abs(track.z0() - vertices_[id].z0());
            ClusterId = id;
            NA = false;
          }
        }
        if (!NA) {
          vertices_[ClusterId].insert(&track);
        }
      }
      for (unsigned int i = 0; i < NumberOfClusters; ++i) {
        if (vertices_[i].numTracks() >= settings_->vx_minTracks())
          computeAndSetVertexParameters(vertices_[i], {}, {});
      }
      iterations++;
    }
  }

maxDistance()

float l1tVertexFinder::VertexFinder::maxDistance	(	RecoVertex<>	cluster0,
		RecoVertex<>	cluster1
	)

Find maximum distance in two clusters of tracks.

Definition at line 83 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::distance, and l1tVertexFinder::RecoVertex< T >::tracks().

                                                                              {
    float distance = 0;
    for (const L1Track* track0 : cluster0.tracks()) {
      for (const L1Track* track1 : cluster1.tracks()) {
        if (std::abs(track0->z0() - track1->z0()) > distance) {
          distance = std::abs(track0->z0() - track1->z0());
        }
      }
    }

    return distance;
  }

meanDistance()

float l1tVertexFinder::VertexFinder::meanDistance	(	RecoVertex<>	cluster0,
		RecoVertex<>	cluster1
	)

Find average distance in two clusters of tracks.

Definition at line 109 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::distance, l1tVertexFinder::RecoVertex< T >::numTracks(), and l1tVertexFinder::RecoVertex< T >::tracks().

                                                                               {
    float distanceSum = 0;

    for (const L1Track* track0 : cluster0.tracks()) {
      for (const L1Track* track1 : cluster1.tracks()) {
        distanceSum += std::abs(track0->z0() - track1->z0());
      }
    }

    float distance = distanceSum / (cluster0.numTracks() * cluster1.numTracks());
    return distance;
  }

minDistance()

float l1tVertexFinder::VertexFinder::minDistance	(	RecoVertex<>	cluster0,
		RecoVertex<>	cluster1
	)

Find minimum distance in two clusters of tracks.

Definition at line 96 of file VertexFinder.cc.

References funct::abs(), HLT_2022v12_cff::distance, and l1tVertexFinder::RecoVertex< T >::tracks().

                                                                              {
    float distance = 9999;
    for (const L1Track* track0 : cluster0.tracks()) {
      for (const L1Track* track1 : cluster1.tracks()) {
        if (std::abs(track0->z0() - track1->z0()) < distance) {
          distance = std::abs(track0->z0() - track1->z0());
        }
      }
    }

    return distance;
  }

numInputTracks()

unsigned int l1tVertexFinder::VertexFinder::numInputTracks ( ) const

inline

Storage for tracks out of the L1 Track finder.

Definition at line 51 of file VertexFinder.h.

References fitTracks_.

{ return fitTracks_.size(); }

numIterations()

unsigned int l1tVertexFinder::VertexFinder::numIterations ( ) const

inline

Number of iterations.

Definition at line 53 of file VertexFinder.h.

References iterations_.

{ return iterations_; }

numVertices()

unsigned int l1tVertexFinder::VertexFinder::numVertices ( ) const

inline

Number of reconstructed vertices.

Definition at line 55 of file VertexFinder.h.

References vertices_.

{ return vertices_.size(); }

numVerticesEmulation()

unsigned int l1tVertexFinder::VertexFinder::numVerticesEmulation ( ) const

inline

Number of emulation vertices.

Definition at line 57 of file VertexFinder.h.

References verticesEmulation_.

{ return verticesEmulation_.size(); }

PrimaryVertex()

template<typename T >

T l1tVertexFinder::VertexFinder::PrimaryVertex ( ) const

inline

Reconstructed primary vertex.

Definition at line 60 of file VertexFinder.h.

References l1tVertexFinder::Emulation, pv_index_, settings_, l1tVertexFinder::Simulation, vertices_, verticesEmulation_, and l1tVertexFinder::AlgoSettings::vx_precision().

                            {
      if ((settings_->vx_precision() == Precision::Simulation) && (pv_index_ < vertices_.size()))
        return vertices_[pv_index_];
      else if ((settings_->vx_precision() == Precision::Emulation) && (pv_index_ < vertices_.size()))
        return verticesEmulation_[pv_index_];
      else {
        edm::LogWarning("VertexFinder") << "PrimaryVertex::No primary vertex has been found.";
        return RecoVertex<>();
      }
    }

primaryVertexId()

unsigned int l1tVertexFinder::VertexFinder::primaryVertexId ( ) const

inline

Reconstructed Primary Vertex Id.

Definition at line 71 of file VertexFinder.h.

References pv_index_.

{ return pv_index_; }

printHistogram()

template<class data_type , typename stream_type >

void l1tVertexFinder::VertexFinder::printHistogram	(	stream_type &	stream,
		std::vector< data_type >	data,
		int	width = 80,
		int	minimum = 0,
		int	maximum = -1,
		std::string	title = "",
		std::string	color = ""
	)

Print an ASCII histogram.

Definition at line 465 of file VertexFinder.cc.

References edmScanValgrind::buffer, data, mps_fire::end, dqmMemoryStats::float, mps_fire::i, writeEcalDQMStatus::interval, mps_splice::line, SiStripPI::max, EcalTangentSkim_cfg::o, MillePedeFileConverter_cfg::out, L1EGammaClusterEmuProducer_cfi::scale, cms::cuda::stream, AlCaHLTBitMon_QueryRunRegistry::string, runGCPTkAlMap::title, contentValuesCheck::values, ApeEstimator_cff::width, x, and SiPixelPI::zero.

                                                     {
    int tableSize = data.size();

    if (maximum == -1) {
      maximum = float(*std::max_element(std::begin(data), std::end(data))) * 1.05;
    } else if (maximum <= minimum) {
      maximum = float(*std::max_element(std::begin(data), std::end(data))) * 1.05;
      minimum = float(*std::min_element(std::begin(data), std::end(data)));
    }

    if (minimum < 0) {
      minimum *= 1.05;
    } else {
      minimum = 0;
    }

    std::vector<std::string> intervals(tableSize, "");
    std::vector<std::string> values(tableSize, "");
    char buffer[128];
    int intervalswidth = 0, valueswidth = 0, tmpwidth = 0;
    for (int i = 0; i < tableSize; i++) {
      //Format the bin labels
      tmpwidth = sprintf(buffer, "[%-.5g, %-.5g)", float(i), float(i + 1));
      intervals[i] = buffer;
      if (i == (tableSize - 1)) {
        intervals[i][intervals[i].size() - 1] = ']';
      }
      if (tmpwidth > intervalswidth)
        intervalswidth = tmpwidth;

      //Format the values
      tmpwidth = sprintf(buffer, "%-.5g", float(data[i]));
      values[i] = buffer;
      if (tmpwidth > valueswidth)
        valueswidth = tmpwidth;
    }

    sprintf(buffer, "%-.5g", float(minimum));
    std::string minimumtext = buffer;
    sprintf(buffer, "%-.5g", float(maximum));
    std::string maximumtext = buffer;

    int plotwidth =
        std::max(int(minimumtext.size() + maximumtext.size()), width - (intervalswidth + 1 + valueswidth + 1 + 2));
    std::string scale =
        minimumtext + std::string(plotwidth + 2 - minimumtext.size() - maximumtext.size(), ' ') + maximumtext;

    float norm = float(plotwidth) / float(maximum - minimum);
    int zero = std::round((0.0 - minimum) * norm);
    std::vector<char> line(plotwidth, '-');

    if ((minimum != 0) && (0 <= zero) && (zero < plotwidth)) {
      line[zero] = '+';
    }
    std::string capstone =
        std::string(intervalswidth + 1 + valueswidth + 1, ' ') + "+" + std::string(line.begin(), line.end()) + "+";

    std::vector<std::string> out;
    if (!title.empty()) {
      out.push_back(title);
      out.push_back(std::string(title.size(), '='));
    }
    out.push_back(std::string(intervalswidth + valueswidth + 2, ' ') + scale);
    out.push_back(capstone);
    for (int i = 0; i < tableSize; i++) {
      std::string interval = intervals[i];
      std::string value = values[i];
      data_type x = data[i];
      std::fill_n(line.begin(), plotwidth, ' ');

      int pos = std::round((float(x) - minimum) * norm);
      if (x < 0) {
        std::fill_n(line.begin() + pos, zero - pos, '*');
      } else {
        std::fill_n(line.begin() + zero, pos - zero, '*');
      }

      if ((minimum != 0) && (0 <= zero) && (zero < plotwidth)) {
        line[zero] = '|';
      }

      sprintf(buffer,
              "%-*s %-*s |%s|",
              intervalswidth,
              interval.c_str(),
              valueswidth,
              value.c_str(),
              std::string(line.begin(), line.end()).c_str());
      out.push_back(buffer);
    }
    out.push_back(capstone);
    if (!color.empty())
      stream << color;
    for (const auto& o : out) {
      stream << o << "\n";
    }
    if (!color.empty())
      stream << "\e[0m";
    stream << "\n";
  }

PVR()

void l1tVertexFinder::VertexFinder::PVR

(

)

Find maximum distance in two clusters of tracks.

Definition at line 246 of file VertexFinder.cc.

References funct::abs(), or, HLT_2022v12_cff::track, bphysicsOniaDQM_cfi::vertex, and l1tVertexFinder::L1Track::z0().

Referenced by VertexProducer::produce().

                         {
    bool start = true;
    FitTrackCollection discardedTracks, acceptedTracks;
    iterations_ = 0;
    for (const L1Track& track : fitTracks_) {
      acceptedTracks.push_back(track);
    }

    while (discardedTracks.size() >= settings_->vx_minTracks() or start == true) {
      start = false;
      bool removing = true;
      discardedTracks.clear();
      while (removing) {
        float oldDistance = 0.;

        if (settings_->debug() > 2)
          edm::LogInfo("VertexFinder") << "PVR::AcceptedTracks " << acceptedTracks.size();

        float z0start = 0;
        for (const L1Track& track : acceptedTracks) {
          z0start += track.z0();
          iterations_++;
        }

        z0start /= acceptedTracks.size();
        if (settings_->debug() > 2)
          edm::LogInfo("VertexFinder") << "PVR::z0 vertex " << z0start;
        FitTrackCollection::iterator badTrackIt = acceptedTracks.end();
        removing = false;

        for (FitTrackCollection::iterator it = acceptedTracks.begin(); it < acceptedTracks.end(); ++it) {
          const L1Track* track = &*it;
          iterations_++;
          if (std::abs(track->z0() - z0start) > settings_->vx_distance() and
              std::abs(track->z0() - z0start) > oldDistance) {
            badTrackIt = it;
            oldDistance = std::abs(track->z0() - z0start);
            removing = true;
          }
        }

        if (removing) {
          const L1Track badTrack = *badTrackIt;
          if (settings_->debug() > 2)
            edm::LogInfo("VertexFinder") << "PVR::Removing track " << badTrack.z0() << " at distance " << oldDistance;
          discardedTracks.push_back(badTrack);
          acceptedTracks.erase(badTrackIt);
        }
      }

      if (acceptedTracks.size() >= settings_->vx_minTracks()) {
        RecoVertex vertex;
        for (const L1Track& track : acceptedTracks) {
          vertex.insert(&track);
        }
        computeAndSetVertexParameters(vertex, {}, {});
        vertices_.push_back(vertex);
      }
      if (settings_->debug() > 2)
        edm::LogInfo("VertexFinder") << "PVR::DiscardedTracks size " << discardedTracks.size();
      acceptedTracks.clear();
      acceptedTracks = discardedTracks;
    }
  }

sortVerticesInPt()

void l1tVertexFinder::VertexFinder::sortVerticesInPt

(

)

Sort vertices in pT.

Definition at line 572 of file VertexFinder.cc.

References l1tVertexFinder::RecoVertex< T >::pt(), l1t::VertexWord::pt(), and jetUpdater_cfi::sort.

Referenced by VertexProducer::produce().

                                      {
    if (settings_->vx_precision() == Precision::Emulation) {
      std::sort(
          verticesEmulation_.begin(),
          verticesEmulation_.end(),
          [](const l1t::VertexWord& vertex0, const l1t::VertexWord& vertex1) { return (vertex0.pt() > vertex1.pt()); });
    } else {
      std::sort(vertices_.begin(), vertices_.end(), [](const RecoVertex<>& vertex0, const RecoVertex<>& vertex1) {
        return (vertex0.pt() > vertex1.pt());
      });
    }
  }

sortVerticesInZ0()

void l1tVertexFinder::VertexFinder::sortVerticesInZ0

(

)

Sort vertices in z.

Definition at line 585 of file VertexFinder.cc.

References jetUpdater_cfi::sort, l1tVertexFinder::RecoVertex< T >::z0(), and l1t::VertexWord::z0().

                                      {
    if (settings_->vx_precision() == Precision::Emulation) {
      std::sort(
          verticesEmulation_.begin(),
          verticesEmulation_.end(),
          [](const l1t::VertexWord& vertex0, const l1t::VertexWord& vertex1) { return (vertex0.z0() < vertex1.z0()); });
    } else {
      std::sort(vertices_.begin(), vertices_.end(), [](const RecoVertex<>& vertex0, const RecoVertex<>& vertex1) {
        return (vertex0.z0() < vertex1.z0());
      });
    }
  }

strided_iota()

template<typename ForwardIterator , typename T >

void l1tVertexFinder::VertexFinder::strided_iota ( ForwardIterator  first, ForwardIterator  last, T  value, T  stride  )

inline

Definition at line 118 of file VertexFinder.h.

References first, dqmdumpme::last, gpuPixelDoublets::stride, and relativeConstraints::value.

                                                                                      {
      while (first != last) {
        *first++ = value;
        value += stride;
      }
    }

vertices()

const std::vector<RecoVertex<> >& l1tVertexFinder::VertexFinder::vertices ( ) const

inline

Returns the z positions of the reconstructed primary vertices.

Definition at line 73 of file VertexFinder.h.

References vertices_.

Referenced by VertexProducer::produce().

{ return vertices_; }

verticesEmulation()

const l1t::VertexWordCollection& l1tVertexFinder::VertexFinder::verticesEmulation ( ) const

inline

Returns the emulation primary vertices.

Definition at line 75 of file VertexFinder.h.

References verticesEmulation_.

Referenced by VertexProducer::produce().

{ return verticesEmulation_; }

Member Data Documentation

fitTracks_

FitTrackCollection l1tVertexFinder::VertexFinder::fitTracks_

private

Definition at line 145 of file VertexFinder.h.

Referenced by fitTracks(), iterationsPerTrack(), numInputTracks(), and VertexFinder().

iterations_

unsigned int l1tVertexFinder::VertexFinder::iterations_

private

Definition at line 147 of file VertexFinder.h.

Referenced by iterationsPerTrack(), and numIterations().

numMatchedVertices_

unsigned int l1tVertexFinder::VertexFinder::numMatchedVertices_

private

Definition at line 144 of file VertexFinder.h.

pv_index_

unsigned int l1tVertexFinder::VertexFinder::pv_index_

private

Definition at line 146 of file VertexFinder.h.

Referenced by PrimaryVertex(), and primaryVertexId().

settings_

const AlgoSettings* l1tVertexFinder::VertexFinder::settings_

private

Definition at line 141 of file VertexFinder.h.

Referenced by PrimaryVertex(), and VertexFinder().

vertices_

RecoVertexCollection l1tVertexFinder::VertexFinder::vertices_

private

Definition at line 142 of file VertexFinder.h.

Referenced by numVertices(), PrimaryVertex(), and vertices().

verticesEmulation_

l1t::VertexWordCollection l1tVertexFinder::VertexFinder::verticesEmulation_

private

Definition at line 143 of file VertexFinder.h.

Referenced by numVerticesEmulation(), PrimaryVertex(), and verticesEmulation().