GEMSegmentAlgorithm Class Reference

#include <GEMSegmentAlgorithm.h>

Inheritance diagram for GEMSegmentAlgorithm:

Public Types
typedef std::vector< const GEMRecHit * >	EnsembleHitContainer
	Typedefs. More...
typedef std::vector< EnsembleHitContainer >	ProtoSegments
Public Types inherited from GEMSegmentAlgorithmBase
typedef std::pair< const GEMSuperChamber *, std::map< uint32_t, const GEMEtaPartition * > >	GEMEnsemble

Public Member Functions
	GEMSegmentAlgorithm (const edm::ParameterSet &ps)
	Constructor. More...
std::vector< GEMSegment >	run (const GEMEnsemble &ensemble, const EnsembleHitContainer &rechits) override
	~GEMSegmentAlgorithm () override
	Destructor. More...
Public Member Functions inherited from GEMSegmentAlgorithmBase
	GEMSegmentAlgorithmBase (const edm::ParameterSet &)
	Constructor. More...
virtual std::vector< GEMSegment >	run (const GEMEnsemble &ensemble, const std::vector< const GEMRecHit * > &rechits)=0
virtual	~GEMSegmentAlgorithmBase ()
	Destructor. More...

Private Member Functions
void	buildSegments (const GEMEnsemble &ensemble, const EnsembleHitContainer &rechits, std::vector< GEMSegment > &gemsegs)
ProtoSegments	chainHits (const GEMEnsemble &ensemble, const EnsembleHitContainer &rechits)
ProtoSegments	clusterHits (const GEMEnsemble &ensemble, const EnsembleHitContainer &rechits)
	Utility functions. More...
bool	isGoodToMerge (const GEMEnsemble &ensemble, const EnsembleHitContainer &newChain, const EnsembleHitContainer &oldChain)

Private Attributes
bool	clusterOnlySameBXRecHits
bool	debug
double	dEtaChainBoxMax
double	dPhiChainBoxMax
double	dXclusBoxMax
double	dYclusBoxMax
int	maxRecHitsInCluster
unsigned int	minHitsPerSegment
const std::string	myName
bool	preClustering
bool	preClustering_useChaining
EnsembleHitContainer	proto_segment
std::unique_ptr< MuonSegFit >	sfit_
GEMDetId	theChamberId

Static Private Attributes
static constexpr float	running_max = std::numeric_limits<float>::max()

Detailed Description

This algorithm is very basic no attemp to deal with ambiguities , noise etc. The GEM track segments (actually more correct would be: GEM correlated hits) is built out of the rechits in two GEM layers in GE1/1 or GE2/1 as the GEM Ensabmle .

Authors

Piet Verwilligen updated by Jason Lee to use general segment fitter, MuonSegFit

Definition at line 25 of file GEMSegmentAlgorithm.h.

Member Typedef Documentation

EnsembleHitContainer

typedef std::vector<const GEMRecHit*> GEMSegmentAlgorithm::EnsembleHitContainer

Typedefs.

Definition at line 28 of file GEMSegmentAlgorithm.h.

ProtoSegments

typedef std::vector<EnsembleHitContainer> GEMSegmentAlgorithm::ProtoSegments

Definition at line 29 of file GEMSegmentAlgorithm.h.

Constructor & Destructor Documentation

GEMSegmentAlgorithm()

GEMSegmentAlgorithm::GEMSegmentAlgorithm ( const edm::ParameterSet &  ps )

explicit

Constructor.

Definition at line 25 of file GEMSegmentAlgorithm.cc.

    : GEMSegmentAlgorithmBase(ps), myName("GEMSegmentAlgorithm") {
  minHitsPerSegment = ps.getParameter<unsigned int>("minHitsPerSegment");
  preClustering = ps.getParameter<bool>("preClustering");
  dXclusBoxMax = ps.getParameter<double>("dXclusBoxMax");
  dYclusBoxMax = ps.getParameter<double>("dYclusBoxMax");
  preClustering_useChaining = ps.getParameter<bool>("preClusteringUseChaining");
  dPhiChainBoxMax = ps.getParameter<double>("dPhiChainBoxMax");
  dEtaChainBoxMax = ps.getParameter<double>("dEtaChainBoxMax");
  maxRecHitsInCluster = ps.getParameter<int>("maxRecHitsInCluster");
  clusterOnlySameBXRecHits = ps.getParameter<bool>("clusterOnlySameBXRecHits");
 
  // maybe to be used in the future ???
  // Pruning                = ps.getParameter<bool>("Pruning");
  // BrutePruning           = ps.getParameter<bool>("BrutePruning");
  // maxRecHitsInCluster is the maximal number of hits in a precluster that is being processed
  // This cut is intended to remove messy events. Currently nothing is returned if there are
  // more that maxRecHitsInCluster hits. It could be useful to return an estimate of the
  // cluster position, which is available.
  // maxRecHitsInCluster    = ps.getParameter<int>("maxRecHitsInCluster");
  // onlyBestSegment        = ps.getParameter<bool>("onlyBestSegment");
 
  // CSC uses pruning to remove clearly bad hits, using as much info from the rechits as possible: charge, position, timing, ...
  // In fits with bad chi^2 they look for the worst hit (hit with abnormally large residual)
  // if worst hit was found, refit without worst hit and select if considerably better than original fit.
}

References clusterOnlySameBXRecHits, dEtaChainBoxMax, dPhiChainBoxMax, dXclusBoxMax, dYclusBoxMax, edm::ParameterSet::getParameter(), maxRecHitsInCluster, minHitsPerSegment, preClustering, and preClustering_useChaining.

~GEMSegmentAlgorithm()

GEMSegmentAlgorithm::~GEMSegmentAlgorithm ( )

override

Destructor.

Definition at line 55 of file GEMSegmentAlgorithm.cc.

{}

Member Function Documentation

buildSegments()

void GEMSegmentAlgorithm::buildSegments ( const GEMEnsemble &  ensemble, const EnsembleHitContainer &  rechits, std::vector< GEMSegment > &  gemsegs  )

private

Definition at line 322 of file GEMSegmentAlgorithm.cc.

                                                                        {
  if (rechits.size() < minHitsPerSegment)
    return;
 
  MuonSegFit::MuonRecHitContainer muonRecHits;
  proto_segment.clear();
 
  // select hits from the ensemble and sort it
  const GEMSuperChamber* suCh = ensemble.first;
  for (auto rh = rechits.begin(); rh != rechits.end(); rh++) {
    proto_segment.push_back(*rh);
 
    // for segFit - using local point in chamber frame
    const GEMEtaPartition* thePartition = (ensemble.second.find((*rh)->gemId()))->second;
    GlobalPoint gp = thePartition->toGlobal((*rh)->localPosition());
    const LocalPoint lp = suCh->toLocal(gp);
 
    GEMRecHit* newRH = (*rh)->clone();
    newRH->setPosition(lp);
    MuonSegFit::MuonRecHitPtr trkRecHit(newRH);
    muonRecHits.push_back(trkRecHit);
  }
 
#ifdef EDM_ML_DEBUG  // have lines below only compiled when in debug mode
  edm::LogVerbatim("GEMSegmentAlgorithm")
      << "[GEMSegmentAlgorithm::buildSegments] will now try to fit a GEMSegment from collection of " << rechits.size()
      << " GEM RecHits";
  for (auto rh = rechits.begin(); rh != rechits.end(); ++rh) {
    auto gemid = (*rh)->gemId();
    auto rhLP = (*rh)->localPosition();
    edm::LogVerbatim("GEMSegmentAlgorithm")
        << "[RecHit :: Loc x = " << std::showpos << std::setw(9) << rhLP.x() << " Loc y = " << std::showpos
        << std::setw(9) << rhLP.y() << " BX = " << std::showpos << (*rh)->BunchX() << " -- " << gemid.rawId() << " = "
        << gemid << " ]";
  }
#endif
 
  // The actual fit on all hits of the vector of the selected Tracking RecHits:
  sfit_ = std::make_unique<MuonSegFit>(muonRecHits);
  bool goodfit = sfit_->fit();
  edm::LogVerbatim("GEMSegmentAlgorithm")
      << "[GEMSegmentAlgorithm::buildSegments] GEMSegment fit done :: fit is good = " << goodfit;
 
  // quit function if fit was not OK
  if (!goodfit) {
    for (auto rh : muonRecHits)
      rh.reset();
    return;
  }
  // obtain all information necessary to make the segment:
  LocalPoint protoIntercept = sfit_->intercept();
  LocalVector protoDirection = sfit_->localdir();
  AlgebraicSymMatrix protoErrors = sfit_->covarianceMatrix();
  double protoChi2 = sfit_->chi2();
 
  // Calculate the bunch crossing of the GEM Segment
  float bx = 0.0;
  for (auto rh = rechits.begin(); rh != rechits.end(); ++rh) {
    bx += (*rh)->BunchX();
  }
  if (!rechits.empty())
    bx = bx * 1.0 / (rechits.size());
 
  // Calculate the central value and uncertainty of the segment time
  // if we want to study impact of 2-3ns time resolution on GEM Segment
  // (if there will be TDCs in readout and not just BX determination)
  // then implement tof() method for rechits and use this here
  /*`
  float averageTime=0.;
  for (auto rh=rechits.begin(); rh!=rechits.end(); ++rh){
    GEMEtaPartition thePartition = ensemble.second.find((*rh)->gemId));
    GlobalPoint pos = (thePartition->toGlobal((*rh)->localPosition());
    float tof = pos.mag() * 0.01 / 0.2997925 + 25.0*(*rh)->BunchX(); 
    averageTime += pos;                                          
  }
  if(rechits.size() != 0) averageTime=averageTime/(rechits.size());
  float timeUncrt=0.;
  for (auto rh=rechits.begin(); rh!=rechits.end(); ++rh){
    GEMEtaPartition thePartition = ensemble.second.find((*rh)->gemId));
    GlobalPoint pos = (thePartition->toGlobal((*rh)->localPosition());
    float tof = pos.mag() * 0.01 / 0.2997925 + 25.0*(*rh)->BunchX();
    timeUncrt += pow(tof-averageTime,2);
  }
  if(rechits.size() != 0) timeUncrt=timeUncrt/(rechits.size());
  timeUncrt = sqrt(timeUncrt);
  */
 
  // save all information inside GEMCSCSegment
  edm::LogVerbatim("GEMSegmentAlgorithm")
      << "[GEMSegmentAlgorithm::buildSegments] will now wrap fit info in GEMSegment dataformat";
  GEMSegment tmp(proto_segment, protoIntercept, protoDirection, protoErrors, protoChi2, bx);
  // GEMSegment tmp(proto_segment, protoIntercept, protoDirection, protoErrors, protoChi2, averageTime, timeUncrt);
 
  edm::LogVerbatim("GEMSegmentAlgorithm")
      << "[GEMSegmentAlgorithm::buildSegments] GEMSegment made in " << tmp.gemDetId();
  edm::LogVerbatim("GEMSegmentAlgorithm") << "[GEMSegmentAlgorithm::buildSegments] " << tmp;
 
  for (auto rh : muonRecHits)
    rh.reset();
  gemsegs.push_back(tmp);
}

References l1GtPatternGenerator_cfi::bx, GEMRecHit::clone(), runTauDisplay::gp, minHitsPerSegment, proto_segment, HI_PhotonSkim_cff::rechits, GEMRecHit::setPosition(), sfit_, createJobs::tmp, GeomDet::toGlobal(), and GeomDet::toLocal().

Referenced by run().

chainHits()

GEMSegmentAlgorithm::ProtoSegments GEMSegmentAlgorithm::chainHits ( const GEMEnsemble &  ensemble, const EnsembleHitContainer &  rechits  )

private

Definition at line 216 of file GEMSegmentAlgorithm.cc.

                                                                                                       {
  ProtoSegments rechits_chains;
  ProtoSegments seeds;
  seeds.reserve(rechits.size());
  std::vector<bool> usedCluster(rechits.size(), false);
 
  // split rechits into subvectors and return vector of vectors:
  // Loop over rechits
  // Create one seed per hit
  for (unsigned int i = 0; i < rechits.size(); ++i)
    seeds.push_back(EnsembleHitContainer(1, rechits[i]));
 
  // merge chains that are too close ("touch" each other)
  for (size_t NNN = 0; NNN < seeds.size(); ++NNN) {
    for (size_t MMM = NNN + 1; MMM < seeds.size(); ++MMM) {
      if (usedCluster[MMM] || usedCluster[NNN]) {
        continue;
      }
      // all is in the way we define "good";
      // try not to "cluster" the hits but to "chain" them;
      // it does the clustering but also does a better job
      // for inclined tracks (not clustering them together;
      // crossed tracks would be still clustered together)
      // 22.12.09: In fact it is not much more different
      // than the "clustering", we just introduce another
      // variable in the game - Z. And it makes sense
      // to re-introduce Y (or actually wire group mumber)
      // in a similar way as for the strip number - see
      // the code below.
      bool goodToMerge = isGoodToMerge(ensemble, seeds[NNN], seeds[MMM]);
      if (goodToMerge) {
        // merge chains!
        // merge by adding seed NNN to seed MMM and erasing seed NNN
 
        // add seed NNN to MMM (lower to larger number)
        seeds[MMM].insert(seeds[MMM].end(), seeds[NNN].begin(), seeds[NNN].end());
 
        // mark seed NNN as used
        usedCluster[NNN] = true;
        // we have merged a seed (NNN) to the highter seed (MMM) - need to contimue to
        // next seed (NNN+1)
        break;
      }
    }
  }
 
  // hand over the final seeds to the output
  // would be more elegant if we could do the above step with
  // erasing the merged ones, rather than the
  for (size_t NNN = 0; NNN < seeds.size(); ++NNN) {
    if (usedCluster[NNN])
      continue;  //skip seeds that have been marked as used up in merging
    rechits_chains.push_back(seeds[NNN]);
  }
 
  //***************************************************************
 
  return rechits_chains;
}

References mps_fire::end, mps_fire::i, isGoodToMerge(), HI_PhotonSkim_cff::rechits, and InitialStep_cff::seeds.

Referenced by run().

clusterHits()

GEMSegmentAlgorithm::ProtoSegments GEMSegmentAlgorithm::clusterHits ( const GEMEnsemble &  ensemble, const EnsembleHitContainer &  rechits  )

private

Utility functions.

Definition at line 94 of file GEMSegmentAlgorithm.cc.

                                                                                                         {
  // think how to implement BX requirement here
 
  ProtoSegments rechits_clusters;  // this is a collection of groups of rechits
 
  float dXclus_box = 0.0;
  float dYclus_box = 0.0;
 
  ProtoSegments seeds;
  seeds.reserve(rechits.size());
 
  std::vector<float> running_meanX;
  running_meanX.reserve(rechits.size());
  std::vector<float> running_meanY;
  running_meanY.reserve(rechits.size());
 
  std::vector<float> seed_minX;
  seed_minX.reserve(rechits.size());
  std::vector<float> seed_maxX;
  seed_maxX.reserve(rechits.size());
  std::vector<float> seed_minY;
  seed_minY.reserve(rechits.size());
  std::vector<float> seed_maxY;
  seed_maxY.reserve(rechits.size());
 
  // split rechits into subvectors and return vector of vectors:
  // Loop over rechits
  // Create one seed per hit
  for (unsigned int i = 0; i < rechits.size(); ++i) {
    seeds.push_back(EnsembleHitContainer(1, rechits[i]));
 
    GEMDetId rhID = rechits[i]->gemId();
    const GEMEtaPartition* rhEP = (ensemble.second.find(rhID.rawId()))->second;
    if (!rhEP)
      throw cms::Exception("GEMEtaPartition not found")
          << "Corresponding GEMEtaPartition to GEMDetId: " << rhID << " not found in the GEMEnsemble";
    const GEMSuperChamber* rhCH = ensemble.first;
    LocalPoint rhLP_inEtaPartFrame = rechits[i]->localPosition();
    GlobalPoint rhGP_inCMSFrame = rhEP->toGlobal(rhLP_inEtaPartFrame);
    LocalPoint rhLP_inChamberFrame = rhCH->toLocal(rhGP_inCMSFrame);
 
    running_meanX.push_back(rhLP_inChamberFrame.x());
    running_meanY.push_back(rhLP_inChamberFrame.y());
 
    // set min/max X and Y for box containing the hits in the precluster:
    seed_minX.push_back(rhLP_inChamberFrame.x());
    seed_maxX.push_back(rhLP_inChamberFrame.x());
    seed_minY.push_back(rhLP_inChamberFrame.y());
    seed_maxY.push_back(rhLP_inChamberFrame.y());
  }
 
  // merge clusters that are too close
  // measure distance between final "running mean"
  for (size_t NNN = 0; NNN < seeds.size(); ++NNN) {
    for (size_t MMM = NNN + 1; MMM < seeds.size(); ++MMM) {
      if (running_meanX[MMM] == running_max || running_meanX[NNN] == running_max) {
        LogDebug("GEMSegmentAlgorithm") << "[GEMSegmentAlgorithm::clusterHits]: ALARM! Skipping used seeds, this "
                                           "should not happen - inform developers!";
        continue;  //skip seeds that have been used
      }
 
      // calculate cut criteria for simple running mean distance cut:
      //dXclus = fabs(running_meanX[NNN] - running_meanX[MMM]);
      //dYclus = fabs(running_meanY[NNN] - running_meanY[MMM]);
      // calculate minmal distance between precluster boxes containing the hits:
      if (running_meanX[NNN] > running_meanX[MMM])
        dXclus_box = seed_minX[NNN] - seed_maxX[MMM];
      else
        dXclus_box = seed_minX[MMM] - seed_maxX[NNN];
      if (running_meanY[NNN] > running_meanY[MMM])
        dYclus_box = seed_minY[NNN] - seed_maxY[MMM];
      else
        dYclus_box = seed_minY[MMM] - seed_maxY[NNN];
 
      if (dXclus_box < dXclusBoxMax && dYclus_box < dYclusBoxMax) {
        // merge clusters!
        // merge by adding seed NNN to seed MMM and erasing seed NNN
 
        // calculate running mean for the merged seed:
        if (seeds[NNN].size() + seeds[MMM].size() != 0) {
          running_meanX[MMM] = (running_meanX[NNN] * seeds[NNN].size() + running_meanX[MMM] * seeds[MMM].size()) /
                               (seeds[NNN].size() + seeds[MMM].size());
          running_meanY[MMM] = (running_meanY[NNN] * seeds[NNN].size() + running_meanY[MMM] * seeds[MMM].size()) /
                               (seeds[NNN].size() + seeds[MMM].size());
        }
 
        // update min/max X and Y for box containing the hits in the merged cluster:
        if (seed_minX[NNN] < seed_minX[MMM])
          seed_minX[MMM] = seed_minX[NNN];
        if (seed_maxX[NNN] > seed_maxX[MMM])
          seed_maxX[MMM] = seed_maxX[NNN];
        if (seed_minY[NNN] < seed_minY[MMM])
          seed_minY[MMM] = seed_minY[NNN];
        if (seed_maxY[NNN] > seed_maxY[MMM])
          seed_maxY[MMM] = seed_maxY[NNN];
 
        // add seed NNN to MMM (lower to larger number)
        seeds[MMM].insert(seeds[MMM].end(), seeds[NNN].begin(), seeds[NNN].end());
 
        // mark seed NNN as used (at the moment just set running mean to 999999.)
        running_meanX[NNN] = running_max;
        running_meanY[NNN] = running_max;
        // we have merged a seed (NNN) to the highter seed (MMM) - need to contimue to
        // next seed (NNN+1)
        break;
      }
    }
  }
 
  // hand over the final seeds to the output
  // would be more elegant if we could do the above step with
  // erasing the merged ones, rather than the
  for (size_t NNN = 0; NNN < seeds.size(); ++NNN) {
    if (running_meanX[NNN] == running_max)
      continue;  //skip seeds that have been marked as used up in merging
    rechits_clusters.push_back(seeds[NNN]);
  }
 
  return rechits_clusters;
}

References dXclusBoxMax, dYclusBoxMax, mps_fire::end, Exception, mps_fire::i, LogDebug, DetId::rawId(), HI_PhotonSkim_cff::rechits, running_max, InitialStep_cff::seeds, findQualityFiles::size, GeomDet::toGlobal(), GeomDet::toLocal(), PV3DBase< T, PVType, FrameType >::x(), and PV3DBase< T, PVType, FrameType >::y().

Referenced by run().

isGoodToMerge()

bool GEMSegmentAlgorithm::isGoodToMerge ( const GEMEnsemble &  ensemble, const EnsembleHitContainer &  newChain, const EnsembleHitContainer &  oldChain  )

private

Definition at line 277 of file GEMSegmentAlgorithm.cc.

                                                                              {
  bool phiRequirementOK = false;  // once it is true in the loop, it is ok to merge
  bool etaRequirementOK = false;  // once it is true in the loop, it is ok to merge
  bool bxRequirementOK = false;   // once it is true in the loop, it is ok to merge
 
  for (size_t iRH_new = 0; iRH_new < newChain.size(); ++iRH_new) {
    int layer_new = (newChain[iRH_new]->gemId().station() - 1) * 2 + newChain[iRH_new]->gemId().layer();
 
    const GEMEtaPartition* rhEP = (ensemble.second.find(newChain[iRH_new]->gemId().rawId()))->second;
    GlobalPoint pos_new = rhEP->toGlobal(newChain[iRH_new]->localPosition());
 
    for (size_t iRH_old = 0; iRH_old < oldChain.size(); ++iRH_old) {
      int layer_old = (oldChain[iRH_old]->gemId().station() - 1) * 2 + oldChain[iRH_old]->gemId().layer();
      // Layers - hits on the same layer should not be allowed ==> if abs(layer_new - layer_old) > 0 is ok. if = 0 is false
      if (layer_new == layer_old)
        return false;
 
      const GEMEtaPartition* oldrhEP = (ensemble.second.find(oldChain[iRH_old]->gemId().rawId()))->second;
      GlobalPoint pos_old = oldrhEP->toGlobal(oldChain[iRH_old]->localPosition());
 
      // Eta & Phi- to be chained, two hits need also to be "close" in phi and eta
      if (phiRequirementOK == false)
        phiRequirementOK = std::abs(reco::deltaPhi(float(pos_new.phi()), float(pos_old.phi()))) < dPhiChainBoxMax;
      if (etaRequirementOK == false)
        etaRequirementOK = std::abs(pos_new.eta() - pos_old.eta()) < dEtaChainBoxMax;
      // and they should have a time difference compatible with the hypothesis
      // that the rechits originate from the same particle, but were detected in different layers
      if (bxRequirementOK == false) {
        if (!clusterOnlySameBXRecHits) {
          bxRequirementOK = true;
        } else {
          if (newChain[iRH_new]->BunchX() == oldChain[iRH_old]->BunchX())
            bxRequirementOK = true;
        }
      }
 
      if (phiRequirementOK && etaRequirementOK && bxRequirementOK)
        return true;
    }
  }
  return false;
}

References funct::abs(), clusterOnlySameBXRecHits, reco::deltaPhi(), dEtaChainBoxMax, dPhiChainBoxMax, PV3DBase< T, PVType, FrameType >::eta(), PV3DBase< T, PVType, FrameType >::phi(), edm::second(), and GeomDet::toGlobal().

Referenced by chainHits().

run()

std::vector< GEMSegment > GEMSegmentAlgorithm::run ( const GEMEnsemble &  ensemble, const EnsembleHitContainer &  rechits  )

override

Build segments for all desired groups of hits

Definition at line 57 of file GEMSegmentAlgorithm.cc.

                                                                                                               {
  // pre-cluster rechits and loop over all sub clusters separately
  std::vector<GEMSegment> segments_temp;
  std::vector<GEMSegment> segments;
  ProtoSegments rechits_clusters;  // this is a collection of groups of rechits
 
  if (preClustering) {
    // run a pre-clusterer on the given rechits to split obviously separated segment seeds:
    if (preClustering_useChaining) {
      // it uses X,Y,Z information; there are no configurable parameters used;
      // the X, Y, Z "cuts" are just (much) wider than reasonable high pt segments
      edm::LogVerbatim("GEMSegmentAlgorithm") << "[GEMSegmentAlgorithm::run] preClustering :: use Chaining";
      rechits_clusters = this->chainHits(ensemble, rechits);
    } else {
      // it uses X,Y information + configurable parameters
      edm::LogVerbatim("GEMSegmentAlgorithm") << "[GEMSegmentAlgorithm::run] Clustering";
      rechits_clusters = this->clusterHits(ensemble, rechits);
    }
    // loop over the found clusters:
    edm::LogVerbatim("GEMSegmentAlgorithm") << "[GEMSegmentAlgorithm::run] Loop over clusters and build segments";
    for (auto sub_rechits = rechits_clusters.begin(); sub_rechits != rechits_clusters.end(); ++sub_rechits) {
      // clear the buffer for the subset of segments:
      segments_temp.clear();
      // build the subset of segments:
      this->buildSegments(ensemble, (*sub_rechits), segments_temp);
      // add the found subset of segments to the collection of all segments in this chamber:
      segments.insert(segments.end(), segments_temp.begin(), segments_temp.end());
    }
 
    return segments;
  } else {
    this->buildSegments(ensemble, rechits, segments);
    return segments;
  }
}

References buildSegments(), chainHits(), clusterHits(), preClustering, preClustering_useChaining, and HI_PhotonSkim_cff::rechits.

Member Data Documentation

clusterOnlySameBXRecHits

bool GEMSegmentAlgorithm::clusterOnlySameBXRecHits

private

Definition at line 72 of file GEMSegmentAlgorithm.h.

Referenced by GEMSegmentAlgorithm(), and isGoodToMerge().

debug

bool GEMSegmentAlgorithm::debug

private

Definition at line 63 of file GEMSegmentAlgorithm.h.

Referenced by runTauIdMVA.TauIDEmbedder::loadMVA_WPs_run2_2017(), and runTauIdMVA.TauIDEmbedder::runTauID().

dEtaChainBoxMax

double GEMSegmentAlgorithm::dEtaChainBoxMax

private

Definition at line 70 of file GEMSegmentAlgorithm.h.

Referenced by GEMSegmentAlgorithm(), and isGoodToMerge().

dPhiChainBoxMax

double GEMSegmentAlgorithm::dPhiChainBoxMax

private

Definition at line 69 of file GEMSegmentAlgorithm.h.

Referenced by GEMSegmentAlgorithm(), and isGoodToMerge().

dXclusBoxMax

double GEMSegmentAlgorithm::dXclusBoxMax

private

Definition at line 66 of file GEMSegmentAlgorithm.h.

Referenced by clusterHits(), and GEMSegmentAlgorithm().

dYclusBoxMax

double GEMSegmentAlgorithm::dYclusBoxMax

private

Definition at line 67 of file GEMSegmentAlgorithm.h.

Referenced by clusterHits(), and GEMSegmentAlgorithm().

maxRecHitsInCluster

int GEMSegmentAlgorithm::maxRecHitsInCluster

private

Definition at line 71 of file GEMSegmentAlgorithm.h.

Referenced by GEMSegmentAlgorithm().

minHitsPerSegment

unsigned int GEMSegmentAlgorithm::minHitsPerSegment

private

Definition at line 64 of file GEMSegmentAlgorithm.h.

Referenced by buildSegments(), and GEMSegmentAlgorithm().

myName

const std::string GEMSegmentAlgorithm::myName

private

Definition at line 60 of file GEMSegmentAlgorithm.h.

preClustering

bool GEMSegmentAlgorithm::preClustering

private

Definition at line 65 of file GEMSegmentAlgorithm.h.

Referenced by GEMSegmentAlgorithm(), and run().

preClustering_useChaining

bool GEMSegmentAlgorithm::preClustering_useChaining

private

Definition at line 68 of file GEMSegmentAlgorithm.h.

Referenced by GEMSegmentAlgorithm(), and run().

proto_segment

EnsembleHitContainer GEMSegmentAlgorithm::proto_segment

private

Definition at line 74 of file GEMSegmentAlgorithm.h.

Referenced by buildSegments().

running_max

constexpr float GEMSegmentAlgorithm::running_max = std::numeric_limits<float>::max()

staticconstexprprivate

Definition at line 77 of file GEMSegmentAlgorithm.h.

Referenced by clusterHits().

sfit_

std::unique_ptr<MuonSegFit> GEMSegmentAlgorithm::sfit_

private

Definition at line 78 of file GEMSegmentAlgorithm.h.

Referenced by buildSegments().

theChamberId

GEMDetId GEMSegmentAlgorithm::theChamberId

private

Definition at line 75 of file GEMSegmentAlgorithm.h.