SETPatternRecognition.cc

Go to the documentation of this file.

 
#include "RecoMuon/MuonSeedGenerator/src/SETPatternRecognition.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"
#include "FWCore/Framework/interface/Event.h"
#include "RecoMuon/TrackingTools/interface/MuonPatternRecoDumper.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "TrackingTools/DetLayers/interface/DetLayer.h"
#include "Geometry/CommonDetUnit/interface/GeomDet.h"
#include "TMath.h"
 
using namespace edm;
using namespace std;
 
SETPatternRecognition::SETPatternRecognition(const ParameterSet& parameterSet, edm::ConsumesCollector& iC)
    : MuonSeedVPatternRecognition(parameterSet.getParameter<ParameterSet>("SETTrajBuilderParameters")
                                      .getParameter<ParameterSet>("FilterParameters")) {
  const string metname = "Muon|RecoMuon|SETPatternRecognition";
  // Parameter set for the Builder
  ParameterSet trajectoryBuilderParameters = parameterSet.getParameter<ParameterSet>("SETTrajBuilderParameters");
  // The inward-outward fitter (starts from seed state)
  ParameterSet filterPSet = trajectoryBuilderParameters.getParameter<ParameterSet>("FilterParameters");
  maxActiveChambers = filterPSet.getParameter<int>("maxActiveChambers");
  useRPCs = filterPSet.getParameter<bool>("EnableRPCMeasurement");
  DTRecSegmentLabel = filterPSet.getParameter<edm::InputTag>("DTRecSegmentLabel");
  CSCRecSegmentLabel = filterPSet.getParameter<edm::InputTag>("CSCRecSegmentLabel");
  RPCRecSegmentLabel = filterPSet.getParameter<edm::InputTag>("RPCRecSegmentLabel");
 
  outsideChamberErrorScale = filterPSet.getParameter<double>("OutsideChamberErrorScale");
  minLocalSegmentAngle = filterPSet.getParameter<double>("MinLocalSegmentAngle");
  //----
  dtToken = iC.consumes<DTRecSegment4DCollection>(DTRecSegmentLabel);
  cscToken = iC.consumes<CSCSegmentCollection>(CSCRecSegmentLabel);
  rpcToken = iC.consumes<RPCRecHitCollection>(RPCRecSegmentLabel);
}
 
//---- it is a "cluster recognition" actually; the pattern recognition is in SETFilter
void SETPatternRecognition::produce(const edm::Event& event,
                                    const edm::EventSetup& eventSetup,
                                    std::vector<MuonRecHitContainer>& segments_clusters) {
  const string metname = "Muon|RecoMuon|SETMuonSeedSeed";
 
  //---- Build collection of all segments
  MuonRecHitContainer muonRecHits;
  MuonRecHitContainer muonRecHits_DT2D_hasPhi;
  MuonRecHitContainer muonRecHits_DT2D_hasZed;
  MuonRecHitContainer muonRecHits_RPC;
 
  // ********************************************;
  // Get the DT-Segment collection from the Event
  // ********************************************;
 
  edm::Handle<DTRecSegment4DCollection> dtRecHits;
  event.getByToken(dtToken, dtRecHits);
  std::vector<DTChamberId> chambers_DT;
  std::vector<DTChamberId>::const_iterator chIt_DT;
  for (DTRecSegment4DCollection::const_iterator rechit = dtRecHits->begin(); rechit != dtRecHits->end(); ++rechit) {
    bool insert = true;
    for (chIt_DT = chambers_DT.begin(); chIt_DT != chambers_DT.end(); ++chIt_DT) {
      if (((*rechit).chamberId().wheel()) == ((*chIt_DT).wheel()) &&
          ((*rechit).chamberId().station() == (*chIt_DT).station()) &&
          ((*rechit).chamberId().sector() == (*chIt_DT).sector())) {
        insert = false;
      }
    }
    if (insert) {
      chambers_DT.push_back((*rechit).chamberId());
    }
    if (segmentCleaning((*rechit).geographicalId(),
                        rechit->localPosition(),
                        rechit->localPositionError(),
                        rechit->localDirection(),
                        rechit->localDirectionError(),
                        rechit->chi2(),
                        rechit->degreesOfFreedom())) {
      continue;
    }
    if ((rechit->hasZed() && rechit->hasPhi())) {
      muonRecHits.push_back(MuonTransientTrackingRecHit::specificBuild(
          theService->trackingGeometry()->idToDet((*rechit).geographicalId()), &*rechit));
    } else if (rechit->hasZed()) {
      muonRecHits_DT2D_hasZed.push_back(MuonTransientTrackingRecHit::specificBuild(
          theService->trackingGeometry()->idToDet((*rechit).geographicalId()), &*rechit));
    } else if (rechit->hasPhi()) {  // safeguard
      muonRecHits_DT2D_hasPhi.push_back(MuonTransientTrackingRecHit::specificBuild(
          theService->trackingGeometry()->idToDet((*rechit).geographicalId()), &*rechit));
    } else {
      //std::cout<<"Warning in "<<metname<<": DT segment which claims to have neither phi nor Z."<<std::endl;
    }
  }
  //std::cout<<"DT done"<<std::endl;
 
  // ********************************************;
  // Get the CSC-Segment collection from the event
  // ********************************************;
 
  edm::Handle<CSCSegmentCollection> cscSegments;
  event.getByToken(cscToken, cscSegments);
  std::vector<CSCDetId> chambers_CSC;
  std::vector<CSCDetId>::const_iterator chIt_CSC;
  for (CSCSegmentCollection::const_iterator rechit = cscSegments->begin(); rechit != cscSegments->end(); ++rechit) {
    bool insert = true;
    for (chIt_CSC = chambers_CSC.begin(); chIt_CSC != chambers_CSC.end(); ++chIt_CSC) {
      if (((*rechit).cscDetId().chamber() == (*chIt_CSC).chamber()) &&
          ((*rechit).cscDetId().station() == (*chIt_CSC).station()) &&
          ((*rechit).cscDetId().ring() == (*chIt_CSC).ring()) &&
          ((*rechit).cscDetId().endcap() == (*chIt_CSC).endcap())) {
        insert = false;
      }
    }
    if (insert) {
      chambers_CSC.push_back((*rechit).cscDetId().chamberId());
    }
    if (segmentCleaning((*rechit).geographicalId(),
                        rechit->localPosition(),
                        rechit->localPositionError(),
                        rechit->localDirection(),
                        rechit->localDirectionError(),
                        rechit->chi2(),
                        rechit->degreesOfFreedom())) {
      continue;
    }
    muonRecHits.push_back(MuonTransientTrackingRecHit::specificBuild(
        theService->trackingGeometry()->idToDet((*rechit).geographicalId()), &*rechit));
  }
  //std::cout<<"CSC done"<<std::endl;
 
  // ********************************************;
  // Get the RPC-Hit collection from the event
  // ********************************************;
 
  edm::Handle<RPCRecHitCollection> rpcRecHits;
  event.getByToken(rpcToken, rpcRecHits);
  if (useRPCs) {
    for (RPCRecHitCollection::const_iterator rechit = rpcRecHits->begin(); rechit != rpcRecHits->end(); ++rechit) {
      // RPCs are special
      const LocalVector localDirection(0., 0., 1.);
      const LocalError localDirectionError(0., 0., 0.);
      const double chi2 = 1.;
      const int ndf = 1;
      if (segmentCleaning((*rechit).geographicalId(),
                          rechit->localPosition(),
                          rechit->localPositionError(),
                          localDirection,
                          localDirectionError,
                          chi2,
                          ndf)) {
        continue;
      }
      muonRecHits_RPC.push_back(MuonTransientTrackingRecHit::specificBuild(
          theService->trackingGeometry()->idToDet((*rechit).geographicalId()), &*rechit));
    }
  }
  //std::cout<<"RPC done"<<std::endl;
  //
  if (int(chambers_DT.size() + chambers_CSC.size()) > maxActiveChambers) {
    // std::cout <<" Too many active chambers : nDT = "<<chambers_DT.size()<<
    // " nCSC = "<<chambers_CSC.size()<<"  Skip them all."<<std::endl;
    edm::LogWarning("tooManyActiveChambers") << " Too many active chambers : nDT = " << chambers_DT.size()
                                             << " nCSC = " << chambers_CSC.size() << "  Skip them all.";
    muonRecHits.clear();
    muonRecHits_DT2D_hasPhi.clear();
    muonRecHits_DT2D_hasZed.clear();
    muonRecHits_RPC.clear();
  }
  //---- Find "pre-clusters" from all segments; these contain potential muon candidates
 
  //---- From all the hits (i.e. segments; sometimes "rechits" is also used with the same meaning;
  //---- this convention has meaning in the global reconstruction though could be misleading
  //---- from a local reconstruction point of view; "local rechits" are used in the backward fit only)
  //---- make clusters of hits; a trajectory could contain hits from one cluster only
 
  // the clustering procedure is very similar to the one used in the segment reconstruction
 
  bool useDT2D_hasPhi = true;
  bool useDT2D_hasZed = true;
  double dXclusBoxMax = 0.60;  // phi - can be as large as 15 - 20 degrees for 6 GeV muons
  double dYclusBoxMax = 0.;
 
  // this is the main selection criteria; the value of 0.02 rad seems wide enough to
  // contain any hit from a passing muon and still narrow enough to remove good part of
  // possible "junk" hits
  // (Comment: it may be better to allow maximum difference between any two hits in a trajectory
  // to be 0.02 or 0.04 or ...; currently the requirement below is imposed on two consecutive hits)
 
  dYclusBoxMax = 0.02;  // theta // hardoded - remove it!
 
  // X and Y are distance variables - we use eta and phi here
 
  float dXclus = 0.0;
  float dXclus_box = 0.0;
  float dYclus_box = 0.0;
 
  MuonRecHitContainer temp;
 
  std::vector<MuonRecHitContainer> seeds;
 
  std::vector<float> running_meanX;
  std::vector<float> running_meanY;
 
  std::vector<float> seed_minX;
  std::vector<float> seed_maxX;
  std::vector<float> seed_minY;
  std::vector<float> seed_maxY;
 
  // split rechits into subvectors and return vector of vectors:
  // Loop over rechits
  // Create one seed per hit
  for (MuonRecHitContainer::const_iterator it = muonRecHits.begin(); it != muonRecHits.end(); ++it) {
    // try to avoid using 2D DT segments. We will add them later to the
    // clusters they are most likely to belong to. Might need to add them
    // to more than just one cluster, if we find them to be consistent with
    // more than one. This would lead to an implicit sharing of hits between
    // SA muon candidates.
 
    temp.clear();
 
    temp.push_back((*it));
 
    seeds.push_back(temp);
 
    // First added hit in seed defines the mean to which the next hit is compared
    // for this seed.
 
    running_meanX.push_back((*it)->globalPosition().phi());
    running_meanY.push_back((*it)->globalPosition().theta());
 
    // set min/max X and Y for box containing the hits in the precluster:
    seed_minX.push_back((*it)->globalPosition().phi());
    seed_maxX.push_back((*it)->globalPosition().phi());
    seed_minY.push_back((*it)->globalPosition().theta());
    seed_maxY.push_back((*it)->globalPosition().theta());
  }
 
  // merge clusters that are too close
  // measure distance between final "running mean"
  for (unsigned int NNN = 0; NNN < seeds.size(); ++NNN) {
    for (unsigned int MMM = NNN + 1; MMM < seeds.size(); ++MMM) {
      if (running_meanX[MMM] == 999999. || running_meanX[NNN] == 999999.) {
        //        LogDebug("CSC") << "CSCSegmentST::clusterHits: Warning: Skipping used seeds, this should happen - inform developers!\n";
        //std::cout<<"We should never see this line now!!!"<<std::endl;
        continue;  //skip seeds that have been used
      }
 
      // Some complications for using phi as a clustering variable due to wrap-around (-pi = pi)
      // Define temporary mean, min, and max variables for the cluster which could be merged (NNN)
      double temp_meanX = running_meanX[NNN];
      double temp_minX = seed_minX[NNN];
      double temp_maxX = seed_maxX[NNN];
 
      // check if the difference between the two phi values is greater than pi
      // if so, need to shift temporary values by 2*pi to make a valid comparison
      dXclus = running_meanX[NNN] - running_meanX[MMM];
      if (dXclus > TMath::Pi()) {
        temp_meanX = temp_meanX - 2. * TMath::Pi();
        temp_minX = temp_minX - 2. * TMath::Pi();
        temp_maxX = temp_maxX - 2. * TMath::Pi();
      }
      if (dXclus < -TMath::Pi()) {
        temp_meanX = temp_meanX + 2. * TMath::Pi();
        temp_minX = temp_minX + 2. * TMath::Pi();
        temp_maxX = temp_maxX + 2. * TMath::Pi();
      }
 
      //       // calculate cut criteria for simple running mean distance cut:
      //       // not sure that these values are really used anywhere
 
      // calculate minmal distance between precluster boxes containing the hits:
      // use the temp variables from above for phi of the NNN cluster
      if (temp_meanX > running_meanX[MMM])
        dXclus_box = temp_minX - seed_maxX[MMM];
      else
        dXclus_box = seed_minX[MMM] - temp_maxX;
      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:
        // use the temp variables from above for phi of the NNN cluster
        running_meanX[MMM] = (temp_meanX * 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:
        // use the temp variables from above for phi of the NNN cluster
        if (temp_minX <= seed_minX[MMM])
          seed_minX[MMM] = temp_minX;
        if (temp_maxX > seed_maxX[MMM])
          seed_maxX[MMM] = temp_maxX;
        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];
 
        // now check to see if the running mean has moved outside of the allowed -pi to pi region
        // if so, then adjust shift all values up or down by 2 * pi
        if (running_meanX[MMM] > TMath::Pi()) {
          running_meanX[MMM] = running_meanX[MMM] - 2. * TMath::Pi();
          seed_minX[MMM] = seed_minX[MMM] - 2. * TMath::Pi();
          seed_maxX[MMM] = seed_maxX[MMM] - 2. * TMath::Pi();
        }
        if (running_meanX[MMM] < -TMath::Pi()) {
          running_meanX[MMM] = running_meanX[MMM] + 2. * TMath::Pi();
          seed_minX[MMM] = seed_minX[MMM] + 2. * TMath::Pi();
          seed_maxX[MMM] = seed_maxX[MMM] + 2. * TMath::Pi();
        }
 
        // 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] = 999999.;
        running_meanY[NNN] = 999999.;
        // we have merged a seed (NNN) to the highter seed (MMM) - need to contimue to
        // next seed (NNN+1)
        break;
      }
    }
  }
  bool tooCloseClusters = false;
  if (seeds.size() > 1) {
    std::vector<double> seedTheta(seeds.size());
    for (unsigned int iSeed = 0; iSeed < seeds.size(); ++iSeed) {
      seedTheta[iSeed] = seeds[iSeed][0]->globalPosition().theta();
      if (iSeed) {
        double dTheta = fabs(seedTheta[iSeed] - seedTheta[iSeed - 1]);
        if (dTheta < 0.5) {  //? should be something more clever
          tooCloseClusters = true;
          break;
        }
      }
    }
  }
 
  // have formed clusters from all hits except for 2D DT segments. Now add the 2D segments to the
  // compatible clusters. For this we compare the mean cluster postition with the
  // 2D segment position. We should use the valid coordinate only and use the bad coordinate
  // as a cross check.
  for (unsigned int NNN = 0; NNN < seeds.size(); ++NNN) {
    if (running_meanX[NNN] == 999999.)
      continue;  //skip seeds that have been marked as used up in merging
 
    // We have a valid cluster - loop over all 2D segments.
    if (useDT2D_hasZed) {
      for (MuonRecHitContainer::const_iterator it2 = muonRecHits_DT2D_hasZed.begin();
           it2 != muonRecHits_DT2D_hasZed.end();
           ++it2) {
        // check that global theta of 2-D segment lies within cluster box plus or minus allowed slop
        if (((*it2)->globalPosition().theta() < seed_maxY[NNN] + dYclusBoxMax) &&
            ((*it2)->globalPosition().theta() > seed_minY[NNN] - dYclusBoxMax)) {
          // check that global phi of 2-D segment (assumed to be center of chamber since no phi hit info)
          // matches with cluster box plus or minus allowed slop given that the true phi value could be
          // anywhere within a given chamber (+/- 5 degrees ~ 0.09 radians from center)
          if (!((((*it2)->globalPosition().phi() + 0.09) < (seed_minX[NNN] - dXclusBoxMax) &&
                 ((*it2)->globalPosition().phi() - 0.09) < (seed_minX[NNN] - dXclusBoxMax)) ||
                (((*it2)->globalPosition().phi() + 0.09) > (seed_maxX[NNN] + dXclusBoxMax) &&
                 // we have checked that the 2Dsegment is within tight theta boundaries and loose phi boundaries of the current cluster -> add it
                 ((*it2)->globalPosition().phi() - 0.09) > (seed_maxX[NNN] + dXclusBoxMax)))) {
            seeds[NNN].push_back((*it2));
          }
        }
      }
    }
 
    // put DT hasphi loop here
    if (useDT2D_hasPhi) {
      for (MuonRecHitContainer::const_iterator it2 = muonRecHits_DT2D_hasPhi.begin();
           it2 != muonRecHits_DT2D_hasPhi.end();
           ++it2) {
        if (((*it2)->globalPosition().phi() < seed_maxX[NNN] + dXclusBoxMax) &&
            ((*it2)->globalPosition().phi() > seed_minX[NNN] - dXclusBoxMax)) {
          if (!((((*it2)->globalPosition().theta() + 0.3) < (seed_minY[NNN] - dYclusBoxMax) &&
                 ((*it2)->globalPosition().theta() - 0.3) < (seed_minY[NNN] - dYclusBoxMax)) ||
                (((*it2)->globalPosition().theta() + 0.3) > (seed_maxY[NNN] + dYclusBoxMax) &&
                 // we have checked that the 2Dsegment is within tight phi boundaries and loose theta boundaries of the current cluster -> add it
                 ((*it2)->globalPosition().theta() - 0.3) > (seed_maxY[NNN] + dYclusBoxMax)))) {
            seeds[NNN].push_back((*it2));  // warning - neeed eta/theta switch here
          }
        }
      }
    }  // DT2D_hastPhi loop
 
    // put RPC loop here
    int secondCh = 0;
    DetId detId_prev;
    if (seeds[NNN].size() > 1) {  // actually we should check how many chambers with measurements are present
      for (unsigned int iRH = 0; iRH < seeds[NNN].size(); ++iRH) {
        if (iRH && detId_prev != seeds[NNN][iRH]->hit()->geographicalId()) {
          ++secondCh;
          break;
        }
        detId_prev = seeds[NNN][iRH]->hit()->geographicalId();
      }
    }
 
    if (useRPCs && !secondCh && !tooCloseClusters) {
      for (MuonRecHitContainer::const_iterator it2 = muonRecHits_RPC.begin(); it2 != muonRecHits_RPC.end(); ++it2) {
        if (((*it2)->globalPosition().phi() < seed_maxX[NNN] + dXclusBoxMax) &&
            ((*it2)->globalPosition().phi() > seed_minX[NNN] - dXclusBoxMax)) {
          if (!((((*it2)->globalPosition().theta() + 0.3) < (seed_minY[NNN] - dYclusBoxMax) &&
                 ((*it2)->globalPosition().theta() - 0.3) < (seed_minY[NNN] - dYclusBoxMax)) ||
                (((*it2)->globalPosition().theta() + 0.3) > (seed_maxY[NNN] + dYclusBoxMax) &&
                 // we have checked that the 2Dsegment is within tight phi boundaries and loose theta boundaries of the current cluster -> add it
                 ((*it2)->globalPosition().theta() - 0.3) > (seed_maxY[NNN] + dYclusBoxMax)))) {
            seeds[NNN].push_back((*it2));  // warning - neeed eta/theta switch here
          }
        }
      }
    }  // RPC loop
  }
 
  // 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 (unsigned int NNN = 0; NNN < seeds.size(); ++NNN) {
    if (running_meanX[NNN] == 999999.)
      continue;  //skip seeds that have been marked as used up in merging
    //std::cout<<"Next Cluster..."<<std::endl;
    segments_clusters.push_back(seeds[NNN]);
  }
}
 
bool SETPatternRecognition::segmentCleaning(const DetId& detId,
                                            const LocalPoint& localPosition,
                                            const LocalError& localError,
                                            const LocalVector& localDirection,
                                            const LocalError& localDirectionError,
                                            const double& chi2,
                                            const int& ndf) {
  // drop segments which are "bad"
  bool dropTheSegment = true;
  const GeomDet* geomDet = theService->trackingGeometry()->idToDet(detId);
  // only segments whithin the boundaries of the chamber
  bool insideCh = geomDet->surface().bounds().inside(localPosition, localError, outsideChamberErrorScale);
 
  // Don't use segments (nearly) parallel to the chamberi;
  // the direction vector is normalized (R=1)
  bool parallelSegment = fabs(localDirection.z()) > minLocalSegmentAngle ? false : true;
 
  if (insideCh && !parallelSegment) {
    dropTheSegment = false;
  }
  // use chi2 too? (DT, CSCs, RPCs; 2D, 4D;...)
 
  return dropTheSegment;
}