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JetFlavourClustering Class Reference

Clusters hadrons, partons, and jet contituents to determine the jet flavour. More...

#include <PhysicsTools/JetMCAlgos/plugins/JetFlavourClustering.cc>

Inheritance diagram for JetFlavourClustering:
edm::stream::EDProducer<>

Public Member Functions

 JetFlavourClustering (const edm::ParameterSet &)
 
 ~JetFlavourClustering () override
 
- Public Member Functions inherited from edm::stream::EDProducer<>
 EDProducer ()=default
 
bool hasAbilityToProduceInLumis () const final
 
bool hasAbilityToProduceInRuns () const final
 

Static Public Member Functions

static void fillDescriptions (edm::ConfigurationDescriptions &descriptions)
 

Private Member Functions

void assignToSubjets (const reco::GenParticleRefVector &clusteredParticles, const edm::Handle< edm::View< reco::Jet > > &subjets, const std::vector< int > &subjetIndices, std::vector< reco::GenParticleRefVector > &assignedParticles)
 
void insertGhosts (const edm::Handle< reco::GenParticleRefVector > &particles, const double ghostRescaling, const bool isHadron, const bool isbHadron, const bool isParton, const bool isLepton, std::vector< fastjet::PseudoJet > &constituents)
 
void matchGroomedJets (const edm::Handle< edm::View< reco::Jet > > &jets, const edm::Handle< edm::View< reco::Jet > > &matchedJets, std::vector< int > &matchedIndices)
 
void matchReclusteredJets (const edm::Handle< edm::View< reco::Jet > > &jets, const std::vector< fastjet::PseudoJet > &matchedJets, std::vector< int > &matchedIndices)
 
void matchSubjets (const std::vector< int > &groomedIndices, const edm::Handle< edm::View< reco::Jet > > &groomedJets, const edm::Handle< edm::View< reco::Jet > > &subjets, std::vector< std::vector< int > > &matchedIndices)
 
void produce (edm::Event &, const edm::EventSetup &) override
 
void setFlavours (const reco::GenParticleRefVector &clusteredbHadrons, const reco::GenParticleRefVector &clusteredcHadrons, const reco::GenParticleRefVector &clusteredPartons, int &hadronFlavour, int &partonFlavour)
 

Private Attributes

const edm::EDGetTokenT< reco::GenParticleRefVectorbHadronsToken_
 
const edm::EDGetTokenT< reco::GenParticleRefVectorcHadronsToken_
 
ClusterSequencePtr fjClusterSeq_
 
JetDefPtr fjJetDefinition_
 
const double ghostRescaling_
 
edm::EDGetTokenT< edm::View< reco::Jet > > groomedJetsToken_
 
const bool hadronFlavourHasPriority_
 
const std::string jetAlgorithm_
 
const double jetPtMin_
 
const edm::EDGetTokenT< edm::View< reco::Jet > > jetsToken_
 
edm::EDGetTokenT< reco::GenParticleRefVectorleptonsToken_
 
const edm::EDGetTokenT< reco::GenParticleRefVectorpartonsToken_
 
const double relPtTolerance_
 
const double rParam_
 
edm::EDGetTokenT< edm::View< reco::Jet > > subjetsToken_
 
const bool useLeptons_
 
const bool useSubjets_
 

Additional Inherited Members

- Public Types inherited from edm::stream::EDProducer<>
typedef CacheContexts< T... > CacheTypes
 
typedef CacheTypes::GlobalCache GlobalCache
 
typedef AbilityChecker< T... > HasAbility
 
typedef CacheTypes::LuminosityBlockCache LuminosityBlockCache
 
typedef LuminosityBlockContextT< LuminosityBlockCache, RunCache, GlobalCacheLuminosityBlockContext
 
typedef CacheTypes::LuminosityBlockSummaryCache LuminosityBlockSummaryCache
 
typedef CacheTypes::RunCache RunCache
 
typedef RunContextT< RunCache, GlobalCacheRunContext
 
typedef CacheTypes::RunSummaryCache RunSummaryCache
 

Detailed Description

Clusters hadrons, partons, and jet contituents to determine the jet flavour.

This producer clusters hadrons, partons and jet contituents to determine the jet flavour. The jet flavour information is stored in the event as an AssociationVector which associates an object of type JetFlavourInfo to each of the jets.

The producer takes as input jets and hadron and partons selected by the HadronAndPartonSelector producer. The hadron and parton four-momenta are rescaled by a very small number (default rescale factor is 10e-18) which turns them into the so-called "ghosts". The "ghost" hadrons and partons are clustered together with all of the jet constituents. It is important to use the same clustering algorithm and jet size as for the original input jet collection. Since the "ghost" hadrons and partons are extremely soft, the resulting jet collection will be practically identical to the original one but now with "ghost" hadrons and partons clustered inside jets. The jet flavour is determined based on the "ghost" hadrons clustered inside a jet:

To further assign a more specific flavour to light-flavour jets, "ghost" partons are used:

In rare instances a conflict between the hadron- and parton-based flavours can occur. In such cases it is possible to keep both flavours or to give priority to the hadron-based flavour. This is controlled by the 'hadronFlavourHasPriority' switch. The priority is given to the hadron-based flavour as follows:

The producer is also capable of assigning the flavour to subjets of fat jets, in which case it produces an additional AssociationVector providing the flavour information for subjets. In order to assign the flavour to subjets, three input jet collections are required:

The "ghost" hadrons and partons clustered inside a fat jet are assigned to the closest subjet in the rapidity-phi space. Once hadrons and partons have been assigned to subjets, the subjet flavour is determined in the same way as for jets. The reason for requiring three jet collections as input in order to determine the subjet flavour is to avoid possible inconsistencies between the fat jet and subjet flavours (such as a non-b fat jet having a b subjet and vice versa) as well as the fact that re-clustering the constituents of groomed fat jets will generally result in a jet collection different from the input groomed fat jets. Also note that "ghost" particles generally cannot be clustered inside subjets in the same way this is done for fat jets. This is because some of the jet grooming techniques could reject such very soft particle. So instead, the "ghost" particles are assigned to the closest subjet.

Finally, "ghost" leptons can also be clustered inside jets but they are not used in any way to determine the jet flavour. This functionality is optional and is potentially useful to identify jets from hadronic taus.

For more details, please refer to https://twiki.cern.ch/twiki/bin/view/CMSPublic/SWGuideBTagMCTools

Definition at line 141 of file JetFlavourClustering.cc.

Constructor & Destructor Documentation

JetFlavourClustering::JetFlavourClustering ( const edm::ParameterSet iConfig)
explicit

Definition at line 207 of file JetFlavourClustering.cc.

References Exception, fjJetDefinition_, edm::ParameterSet::getParameter(), groomedJetsToken_, jetAlgorithm_, leptonsToken_, rParam_, subjetsToken_, useLeptons_, and useSubjets_.

207  :
208 
209  jetsToken_(consumes<edm::View<reco::Jet> >( iConfig.getParameter<edm::InputTag>("jets")) ),
210  bHadronsToken_(consumes<reco::GenParticleRefVector>( iConfig.getParameter<edm::InputTag>("bHadrons") )),
211  cHadronsToken_(consumes<reco::GenParticleRefVector>( iConfig.getParameter<edm::InputTag>("cHadrons") )),
212  partonsToken_(consumes<reco::GenParticleRefVector>( iConfig.getParameter<edm::InputTag>("partons") )),
213  jetAlgorithm_(iConfig.getParameter<std::string>("jetAlgorithm")),
214  rParam_(iConfig.getParameter<double>("rParam")),
215  jetPtMin_(0.), // hardcoded to 0. since we simply want to recluster all input jets which already had some PtMin applied
216  ghostRescaling_(iConfig.exists("ghostRescaling") ? iConfig.getParameter<double>("ghostRescaling") : 1e-18),
217  relPtTolerance_(iConfig.exists("relPtTolerance") ? iConfig.getParameter<double>("relPtTolerance") : 1e-03), // 0.1% relative difference in Pt should be sufficient to detect possible misconfigurations
218  hadronFlavourHasPriority_(iConfig.getParameter<bool>("hadronFlavourHasPriority")),
219  useSubjets_(iConfig.exists("groomedJets") && iConfig.exists("subjets")),
220  useLeptons_(iConfig.exists("leptons"))
221 
222 {
223  // register your products
224  produces<reco::JetFlavourInfoMatchingCollection>();
225  if( useSubjets_ )
226  produces<reco::JetFlavourInfoMatchingCollection>("SubJets");
227 
228  // set jet algorithm
229  if (jetAlgorithm_=="Kt")
230  fjJetDefinition_= JetDefPtr( new fastjet::JetDefinition(fastjet::kt_algorithm, rParam_) );
231  else if (jetAlgorithm_=="CambridgeAachen")
232  fjJetDefinition_= JetDefPtr( new fastjet::JetDefinition(fastjet::cambridge_algorithm, rParam_) );
233  else if (jetAlgorithm_=="AntiKt")
234  fjJetDefinition_= JetDefPtr( new fastjet::JetDefinition(fastjet::antikt_algorithm, rParam_) );
235  else
236  throw cms::Exception("InvalidJetAlgorithm") << "Jet clustering algorithm is invalid: " << jetAlgorithm_ << ", use CambridgeAachen | Kt | AntiKt" << std::endl;
237 
238  if (useSubjets_) {
239  groomedJetsToken_=consumes<edm::View<reco::Jet> >(iConfig.getParameter<edm::InputTag>("groomedJets"));
240  subjetsToken_=consumes<edm::View<reco::Jet> >(iConfig.getParameter<edm::InputTag>("subjets"));
241  }
242  if ( useLeptons_ ) {
243  leptonsToken_=consumes<reco::GenParticleRefVector>( iConfig.getParameter<edm::InputTag>("leptons") );
244  }
245 
246 }
edm::EDGetTokenT< reco::GenParticleRefVector > leptonsToken_
std::shared_ptr< fastjet::JetDefinition > JetDefPtr
T getParameter(std::string const &) const
edm::EDGetTokenT< edm::View< reco::Jet > > subjetsToken_
bool exists(std::string const &parameterName) const
checks if a parameter exists
const edm::EDGetTokenT< reco::GenParticleRefVector > bHadronsToken_
const edm::EDGetTokenT< reco::GenParticleRefVector > partonsToken_
const edm::EDGetTokenT< reco::GenParticleRefVector > cHadronsToken_
const std::string jetAlgorithm_
const edm::EDGetTokenT< edm::View< reco::Jet > > jetsToken_
edm::EDGetTokenT< edm::View< reco::Jet > > groomedJetsToken_
JetFlavourClustering::~JetFlavourClustering ( )
override

Definition at line 249 of file JetFlavourClustering.cc.

250 {
251 
252  // do anything here that needs to be done at desctruction time
253  // (e.g. close files, deallocate resources etc.)
254 
255 }

Member Function Documentation

void JetFlavourClustering::assignToSubjets ( const reco::GenParticleRefVector clusteredParticles,
const edm::Handle< edm::View< reco::Jet > > &  subjets,
const std::vector< int > &  subjetIndices,
std::vector< reco::GenParticleRefVector > &  assignedParticles 
)
private

Definition at line 703 of file JetFlavourClustering.cc.

References edm::RefVector< C, T, F >::begin(), reco::deltaR2(), SoftLeptonByDistance_cfi::distance, edm::RefVector< C, T, F >::end(), and phi.

Referenced by produce().

707 {
708  // loop over clustered particles and assign them to different subjets based on smallest dR
709  for(reco::GenParticleRefVector::const_iterator it = clusteredParticles.begin(); it != clusteredParticles.end(); ++it)
710  {
711  std::vector<double> dR2toSubjets;
712 
713  for(size_t sj=0; sj<subjetIndices.size(); ++sj)
714  dR2toSubjets.push_back( reco::deltaR2( (*it)->rapidity(), (*it)->phi(), subjets->at(subjetIndices.at(sj)).rapidity(), subjets->at(subjetIndices.at(sj)).phi() ) );
715 
716  // find the closest subjet
717  int closestSubjetIdx = std::distance( dR2toSubjets.begin(), std::min_element(dR2toSubjets.begin(), dR2toSubjets.end()) );
718 
719  assignedParticles.at(closestSubjetIdx).push_back( *it );
720  }
721 }
const_iterator end() const
Termination of iteration.
Definition: RefVector.h:253
const_iterator begin() const
Initialize an iterator over the RefVector.
Definition: RefVector.h:248
constexpr auto deltaR2(const T1 &t1, const T2 &t2) -> decltype(t1.eta())
Definition: deltaR.h:16
void JetFlavourClustering::fillDescriptions ( edm::ConfigurationDescriptions descriptions)
static

Definition at line 725 of file JetFlavourClustering.cc.

References edm::ConfigurationDescriptions::addDefault(), DEFINE_FWK_MODULE, and edm::ParameterSetDescription::setUnknown().

725  {
726  //The following says we do not know what parameters are allowed so do no validation
727  // Please change this to state exactly what you do use, even if it is no parameters
729  desc.setUnknown();
730  descriptions.addDefault(desc);
731 }
void addDefault(ParameterSetDescription const &psetDescription)
void JetFlavourClustering::insertGhosts ( const edm::Handle< reco::GenParticleRefVector > &  particles,
const double  ghostRescaling,
const bool  isHadron,
const bool  isbHadron,
const bool  isParton,
const bool  isLepton,
std::vector< fastjet::PseudoJet > &  constituents 
)
private

Definition at line 491 of file JetFlavourClustering.cc.

References edm::RefVector< C, T, F >::begin(), edm::RefVector< C, T, F >::end(), AK4PFJetsMCFlavourInfos_cfi::ghostRescaling, and AlCaHLTBitMon_ParallelJobs::p.

Referenced by produce().

495 {
496  // insert "ghost" particles in the vector of jet constituents
497  for(reco::GenParticleRefVector::const_iterator it = particles->begin(); it != particles->end(); ++it)
498  {
499  if((*it)->pt() == 0)
500  {
501  edm::LogInfo("NullTransverseMomentum") << "dropping input ghost candidate with pt=0";
502  continue;
503  }
504  fastjet::PseudoJet p((*it)->px(),(*it)->py(),(*it)->pz(),(*it)->energy());
505  p*=ghostRescaling; // rescale particle momentum
506  p.set_user_info(new GhostInfo(isHadron, isbHadron, isParton, isLepton, *it));
507  constituents.push_back(p);
508  }
509 }
bool isLepton(const Candidate &part)
Definition: pdgIdUtils.h:19
const_iterator end() const
Termination of iteration.
Definition: RefVector.h:253
const_iterator begin() const
Initialize an iterator over the RefVector.
Definition: RefVector.h:248
bool isParton(const reco::Candidate &c)
Definition: CandMCTag.cc:48
void JetFlavourClustering::matchGroomedJets ( const edm::Handle< edm::View< reco::Jet > > &  jets,
const edm::Handle< edm::View< reco::Jet > > &  matchedJets,
std::vector< int > &  matchedIndices 
)
private

Definition at line 555 of file JetFlavourClustering.cc.

References reco::deltaR2(), SoftLeptonByDistance_cfi::distance, spr::find(), fwrapper::jets, rParam_, and mathSSE::sqrt().

Referenced by produce().

558 {
559  std::vector<bool> jetLocks(jets->size(),false);
560  std::vector<int> jetIndices;
561 
562  for(size_t gj=0; gj<groomedJets->size(); ++gj)
563  {
564  double matchedDR2 = 1e9;
565  int matchedIdx = -1;
566 
567  if( groomedJets->at(gj).pt()>0. ) // skip pathological cases of groomed jets with Pt=0
568  {
569  for(size_t j=0; j<jets->size(); ++j)
570  {
571  if( jetLocks.at(j) ) continue; // skip jets that have already been matched
572 
573  double tempDR2 = reco::deltaR2( jets->at(j).rapidity(), jets->at(j).phi(), groomedJets->at(gj).rapidity(), groomedJets->at(gj).phi() );
574  if( tempDR2 < matchedDR2 )
575  {
576  matchedDR2 = tempDR2;
577  matchedIdx = j;
578  }
579  }
580  }
581 
582  if( matchedIdx>=0 )
583  {
584  if ( matchedDR2 > rParam_*rParam_ )
585  {
586  edm::LogWarning("MatchedJetsFarApart") << "Matched groomed jet " << gj << " and original jet " << matchedIdx <<" are separated by dR=" << sqrt(matchedDR2) << " which is greater than the jet size R=" << rParam_ << ".\n"
587  << "This is not expected so the matching of these two jets has been discarded. Please check that the two jet collections belong to each other.";
588  matchedIdx = -1;
589  }
590  else
591  jetLocks.at(matchedIdx) = true;
592  }
593  jetIndices.push_back(matchedIdx);
594  }
595 
596  for(size_t j=0; j<jets->size(); ++j)
597  {
598  std::vector<int>::iterator matchedIndex = std::find( jetIndices.begin(), jetIndices.end(), j );
599 
600  matchedIndices.push_back( matchedIndex != jetIndices.end() ? std::distance(jetIndices.begin(),matchedIndex) : -1 );
601  }
602 }
void find(edm::Handle< EcalRecHitCollection > &hits, DetId thisDet, std::vector< EcalRecHitCollection::const_iterator > &hit, bool debug=false)
Definition: FindCaloHit.cc:20
T sqrt(T t)
Definition: SSEVec.h:18
constexpr auto deltaR2(const T1 &t1, const T2 &t2) -> decltype(t1.eta())
Definition: deltaR.h:16
void JetFlavourClustering::matchReclusteredJets ( const edm::Handle< edm::View< reco::Jet > > &  jets,
const std::vector< fastjet::PseudoJet > &  matchedJets,
std::vector< int > &  matchedIndices 
)
private

Definition at line 513 of file JetFlavourClustering.cc.

References reco::deltaR2(), fwrapper::jets, rParam_, and mathSSE::sqrt().

Referenced by produce().

516 {
517  std::vector<bool> matchedLocks(reclusteredJets.size(),false);
518 
519  for(size_t j=0; j<jets->size(); ++j)
520  {
521  double matchedDR2 = 1e9;
522  int matchedIdx = -1;
523 
524  for(size_t rj=0; rj<reclusteredJets.size(); ++rj)
525  {
526  if( matchedLocks.at(rj) ) continue; // skip jets that have already been matched
527 
528  double tempDR2 = reco::deltaR2( jets->at(j).rapidity(), jets->at(j).phi(), reclusteredJets.at(rj).rapidity(), reclusteredJets.at(rj).phi_std() );
529  if( tempDR2 < matchedDR2 )
530  {
531  matchedDR2 = tempDR2;
532  matchedIdx = rj;
533  }
534  }
535 
536  if( matchedIdx>=0 )
537  {
538  if ( matchedDR2 > rParam_*rParam_ )
539  {
540  edm::LogError("JetMatchingFailed") << "Matched reclustered jet " << matchedIdx << " and original jet " << j <<" are separated by dR=" << sqrt(matchedDR2) << " which is greater than the jet size R=" << rParam_ << ".\n"
541  << "This is not expected so please check that the jet algorithm and jet size match those used for the original jet collection.";
542  }
543  else
544  matchedLocks.at(matchedIdx) = true;
545  }
546  else
547  edm::LogError("JetMatchingFailed") << "Matching reclustered to original jets failed. Please check that the jet algorithm and jet size match those used for the original jet collection.";
548 
549  matchedIndices.push_back(matchedIdx);
550  }
551 }
T sqrt(T t)
Definition: SSEVec.h:18
constexpr auto deltaR2(const T1 &t1, const T2 &t2) -> decltype(t1.eta())
Definition: deltaR.h:16
void JetFlavourClustering::matchSubjets ( const std::vector< int > &  groomedIndices,
const edm::Handle< edm::View< reco::Jet > > &  groomedJets,
const edm::Handle< edm::View< reco::Jet > > &  subjets,
std::vector< std::vector< int > > &  matchedIndices 
)
private

Definition at line 606 of file JetFlavourClustering.cc.

References g, and alignCSCRings::s.

Referenced by produce().

610 {
611  for(size_t g=0; g<groomedIndices.size(); ++g)
612  {
613  std::vector<int> subjetIndices;
614 
615  if( groomedIndices.at(g)>=0 )
616  {
617  for(size_t s=0; s<groomedJets->at(groomedIndices.at(g)).numberOfDaughters(); ++s)
618  {
619  const edm::Ptr<reco::Candidate> & subjet = groomedJets->at(groomedIndices.at(g)).daughterPtr(s);
620 
621  for(size_t sj=0; sj<subjets->size(); ++sj)
622  {
623  if( subjet == edm::Ptr<reco::Candidate>(subjets->ptrAt(sj)) )
624  {
625  subjetIndices.push_back(sj);
626  break;
627  }
628  }
629  }
630 
631  if( subjetIndices.empty() )
632  edm::LogError("SubjetMatchingFailed") << "Matching subjets to original jets failed. Please check that the groomed jet and subjet collections belong to each other.";
633 
634  matchedIndices.push_back(subjetIndices);
635  }
636  else
637  matchedIndices.push_back(subjetIndices);
638  }
639 }
The Signals That Services Can Subscribe To This is based on ActivityRegistry and is current per Services can connect to the signals distributed by the ActivityRegistry in order to monitor the activity of the application Each possible callback has some defined which we here list in angle e g
Definition: Activities.doc:4
void JetFlavourClustering::produce ( edm::Event iEvent,
const edm::EventSetup iSetup 
)
overrideprivate

Definition at line 264 of file JetFlavourClustering.cc.

References funct::abs(), assignToSubjets(), AK4GenJetFlavourInfos_cfi::bHadrons, bHadronsToken_, AK4GenJetFlavourInfos_cfi::cHadrons, cHadronsToken_, fjClusterSeq_, fjJetDefinition_, edm::Event::getByToken(), ghostRescaling_, groomedJetsToken_, jets_cff::hadronFlavour, mps_fire::i, insertGhosts(), edm::Ptr< T >::isAvailable(), GhostInfo::isbHadron(), GhostInfo::isHadron(), GhostInfo::isLepton(), edm::Ptr< T >::isNonnull(), GhostInfo::isParton(), GenHFHadronMatcher_cfi::jetFlavourInfos, jetPtMin_, fwrapper::jets, jetsToken_, AK4GenJetFlavourInfos_cfi::leptons, leptonsToken_, funct::m, matchGroomedJets(), matchReclusteredJets(), matchSubjets(), eostools::move(), GhostInfo::particleRef(), jets_cff::partonFlavour, AK4CaloJetsMCFlavour_cff::partons, partonsToken_, EnergyCorrector::pt, edm::RefVector< C, T, F >::push_back(), edm::Event::put(), relPtTolerance_, setFlavours(), edm::RefVector< C, T, F >::size(), subjetsToken_, useLeptons_, and useSubjets_.

265 {
267  iEvent.getByToken(jetsToken_, jets);
268 
269  edm::Handle<edm::View<reco::Jet> > groomedJets;
271  if( useSubjets_ )
272  {
273  iEvent.getByToken(groomedJetsToken_, groomedJets);
274  iEvent.getByToken(subjetsToken_, subjets);
275  }
276 
278  iEvent.getByToken(bHadronsToken_, bHadrons);
279 
281  iEvent.getByToken(cHadronsToken_, cHadrons);
282 
284  iEvent.getByToken(partonsToken_, partons);
285 
287  if( useLeptons_ )
288  iEvent.getByToken(leptonsToken_, leptons);
289 
290  auto jetFlavourInfos = std::make_unique<reco::JetFlavourInfoMatchingCollection>(reco::JetRefBaseProd(jets));
291  std::unique_ptr<reco::JetFlavourInfoMatchingCollection> subjetFlavourInfos;
292  if( useSubjets_ )
293  subjetFlavourInfos = std::make_unique<reco::JetFlavourInfoMatchingCollection>(reco::JetRefBaseProd(subjets));
294 
295  // vector of constituents for reclustering jets and "ghosts"
296  std::vector<fastjet::PseudoJet> fjInputs;
297  unsigned int reserve = jets->size()*128 + bHadrons->size() + cHadrons->size() + partons->size();
298  if (useLeptons_) reserve += leptons->size();
299  fjInputs.reserve(reserve);
300  // loop over all input jets and collect all their constituents
301  for(edm::View<reco::Jet>::const_iterator it = jets->begin(); it != jets->end(); ++it)
302  {
303  std::vector<edm::Ptr<reco::Candidate> > constituents = it->getJetConstituents();
304  std::vector<edm::Ptr<reco::Candidate> >::const_iterator m;
305  for( m = constituents.begin(); m != constituents.end(); ++m )
306  {
307  reco::CandidatePtr constit = *m;
308  if(!constit.isNonnull() || !constit.isAvailable()) {
309  edm::LogError("MissingJetConstituent") << "Jet constituent required for jet reclustering is missing. Reclustered jets are not guaranteed to reproduce the original jets!";
310  continue;
311  }
312  if(constit->pt() == 0)
313  {
314  edm::LogWarning("NullTransverseMomentum") << "dropping input candidate with pt=0";
315  continue;
316  }
317  fjInputs.push_back(fastjet::PseudoJet(constit->px(),constit->py(),constit->pz(),constit->energy()));
318  }
319  }
320  // insert "ghost" b hadrons in the vector of constituents
321  insertGhosts(bHadrons, ghostRescaling_, true, true, false, false, fjInputs);
322  // insert "ghost" c hadrons in the vector of constituents
323  insertGhosts(cHadrons, ghostRescaling_, true, false, false, false, fjInputs);
324  // insert "ghost" partons in the vector of constituents
325  insertGhosts(partons, ghostRescaling_, false, false, true, false, fjInputs);
326  // if used, insert "ghost" leptons in the vector of constituents
327  if( useLeptons_ )
328  insertGhosts(leptons, ghostRescaling_, false, false, false, true, fjInputs);
329 
330  // define jet clustering sequence
331  fjClusterSeq_ = ClusterSequencePtr( new fastjet::ClusterSequence( fjInputs, *fjJetDefinition_ ) );
332  // recluster jet constituents and inserted "ghosts"
333  std::vector<fastjet::PseudoJet> inclusiveJets = fastjet::sorted_by_pt( fjClusterSeq_->inclusive_jets(jetPtMin_) );
334 
335  if( inclusiveJets.size() < jets->size() )
336  edm::LogError("TooFewReclusteredJets") << "There are fewer reclustered (" << inclusiveJets.size() << ") than original jets (" << jets->size() << "). Please check that the jet algorithm and jet size match those used for the original jet collection.";
337 
338  // match reclustered and original jets
339  std::vector<int> reclusteredIndices;
340  matchReclusteredJets(jets,inclusiveJets,reclusteredIndices);
341 
342  // match groomed and original jets
343  std::vector<int> groomedIndices;
344  if( useSubjets_ )
345  {
346  if( groomedJets->size() > jets->size() )
347  edm::LogError("TooManyGroomedJets") << "There are more groomed (" << groomedJets->size() << ") than original jets (" << jets->size() << "). Please check that the two jet collections belong to each other.";
348 
349  matchGroomedJets(jets,groomedJets,groomedIndices);
350  }
351 
352  // match subjets and original jets
353  std::vector<std::vector<int> > subjetIndices;
354  if( useSubjets_ )
355  {
356  matchSubjets(groomedIndices,groomedJets,subjets,subjetIndices);
357  }
358 
359  // determine jet flavour
360  for(size_t i=0; i<jets->size(); ++i)
361  {
362  reco::GenParticleRefVector clusteredbHadrons;
363  reco::GenParticleRefVector clusteredcHadrons;
364  reco::GenParticleRefVector clusteredPartons;
365  reco::GenParticleRefVector clusteredLeptons;
366 
367  // if matching reclustered to original jets failed
368  if( reclusteredIndices.at(i) < 0 )
369  {
370  // set an empty JetFlavourInfo for this jet
371  (*jetFlavourInfos)[jets->refAt(i)] = reco::JetFlavourInfo(clusteredbHadrons, clusteredcHadrons, clusteredPartons, clusteredLeptons, 0, 0);
372  }
373  else if( jets->at(i).pt() == 0 )
374  {
375  edm::LogWarning("NullTransverseMomentum") << "The original jet " << i << " has Pt=0. This is not expected so the jet will be skipped.";
376 
377  // set an empty JetFlavourInfo for this jet
378  (*jetFlavourInfos)[jets->refAt(i)] = reco::JetFlavourInfo(clusteredbHadrons, clusteredcHadrons, clusteredPartons, clusteredLeptons, 0, 0);
379 
380  // if subjets are used
381  if( useSubjets_ && !subjetIndices.at(i).empty() )
382  {
383  // loop over subjets
384  for(size_t sj=0; sj<subjetIndices.at(i).size(); ++sj)
385  {
386  // set an empty JetFlavourInfo for this subjet
387  (*subjetFlavourInfos)[subjets->refAt(subjetIndices.at(i).at(sj))] = reco::JetFlavourInfo(reco::GenParticleRefVector(), reco::GenParticleRefVector(), reco::GenParticleRefVector(), reco::GenParticleRefVector(), 0, 0);
388  }
389  }
390  }
391  else
392  {
393  // since the "ghosts" are extremely soft, the configuration and ordering of the reclustered and original jets should in principle stay the same
394  if( ( std::abs( inclusiveJets.at(reclusteredIndices.at(i)).pt() - jets->at(i).pt() ) / jets->at(i).pt() ) > relPtTolerance_ )
395  {
396  if( jets->at(i).pt() < 10. ) // special handling for low-Pt jets (Pt<10 GeV)
397  edm::LogWarning("JetPtMismatchAtLowPt") << "The reclustered and original jet " << i << " have different Pt's (" << inclusiveJets.at(reclusteredIndices.at(i)).pt() << " vs " << jets->at(i).pt() << " GeV, respectively).\n"
398  << "Please check that the jet algorithm and jet size match those used for the original jet collection and also make sure the original jets are uncorrected. In addition, make sure you are not using CaloJets which are presently not supported.\n"
399  << "Since the mismatch is at low Pt (Pt<10 GeV), it is ignored and only a warning is issued.\n"
400  << "\nIn extremely rare instances the mismatch could be caused by a difference in the machine precision in which case make sure the original jet collection is produced and reclustering is performed in the same job.";
401  else
402  edm::LogError("JetPtMismatch") << "The reclustered and original jet " << i << " have different Pt's (" << inclusiveJets.at(reclusteredIndices.at(i)).pt() << " vs " << jets->at(i).pt() << " GeV, respectively).\n"
403  << "Please check that the jet algorithm and jet size match those used for the original jet collection and also make sure the original jets are uncorrected. In addition, make sure you are not using CaloJets which are presently not supported.\n"
404  << "\nIn extremely rare instances the mismatch could be caused by a difference in the machine precision in which case make sure the original jet collection is produced and reclustering is performed in the same job.";
405  }
406 
407  // get jet constituents (sorted by Pt)
408  std::vector<fastjet::PseudoJet> constituents = fastjet::sorted_by_pt( inclusiveJets.at(reclusteredIndices.at(i)).constituents() );
409 
410  // loop over jet constituents and try to find "ghosts"
411  for(std::vector<fastjet::PseudoJet>::const_iterator it = constituents.begin(); it != constituents.end(); ++it)
412  {
413  if( !it->has_user_info() ) continue; // skip if not a "ghost"
414 
415  // "ghost" hadron
416  if( it->user_info<GhostInfo>().isHadron() )
417  {
418  // "ghost" b hadron
419  if( it->user_info<GhostInfo>().isbHadron() )
420  clusteredbHadrons.push_back(it->user_info<GhostInfo>().particleRef());
421  // "ghost" c hadron
422  else
423  clusteredcHadrons.push_back(it->user_info<GhostInfo>().particleRef());
424  }
425  // "ghost" parton
426  else if( it->user_info<GhostInfo>().isParton() )
427  clusteredPartons.push_back(it->user_info<GhostInfo>().particleRef());
428  // "ghost" lepton
429  else if( it->user_info<GhostInfo>().isLepton() )
430  clusteredLeptons.push_back(it->user_info<GhostInfo>().particleRef());
431  }
432 
433  int hadronFlavour = 0; // default hadron flavour set to 0 (= undefined)
434  int partonFlavour = 0; // default parton flavour set to 0 (= undefined)
435 
436  // set hadron- and parton-based flavours
437  setFlavours(clusteredbHadrons, clusteredcHadrons, clusteredPartons, hadronFlavour, partonFlavour);
438 
439  // set the JetFlavourInfo for this jet
440  (*jetFlavourInfos)[jets->refAt(i)] = reco::JetFlavourInfo(clusteredbHadrons, clusteredcHadrons, clusteredPartons, clusteredLeptons, hadronFlavour, partonFlavour);
441  }
442 
443  // if subjets are used, determine their flavour
444  if( useSubjets_ )
445  {
446  if( subjetIndices.at(i).empty() ) continue; // continue if the original jet does not have subjets assigned
447 
448  // define vectors of GenParticleRefVectors for hadrons and partons assigned to different subjets
449  std::vector<reco::GenParticleRefVector> assignedbHadrons(subjetIndices.at(i).size(),reco::GenParticleRefVector());
450  std::vector<reco::GenParticleRefVector> assignedcHadrons(subjetIndices.at(i).size(),reco::GenParticleRefVector());
451  std::vector<reco::GenParticleRefVector> assignedPartons(subjetIndices.at(i).size(),reco::GenParticleRefVector());
452  std::vector<reco::GenParticleRefVector> assignedLeptons(subjetIndices.at(i).size(),reco::GenParticleRefVector());
453 
454  // loop over clustered b hadrons and assign them to different subjets based on smallest dR
455  assignToSubjets(clusteredbHadrons, subjets, subjetIndices.at(i), assignedbHadrons);
456  // loop over clustered c hadrons and assign them to different subjets based on smallest dR
457  assignToSubjets(clusteredcHadrons, subjets, subjetIndices.at(i), assignedcHadrons);
458  // loop over clustered partons and assign them to different subjets based on smallest dR
459  assignToSubjets(clusteredPartons, subjets, subjetIndices.at(i), assignedPartons);
460  // if used, loop over clustered leptons and assign them to different subjets based on smallest dR
461  if( useLeptons_ )
462  assignToSubjets(clusteredLeptons, subjets, subjetIndices.at(i), assignedLeptons);
463 
464  // loop over subjets and determine their flavour
465  for(size_t sj=0; sj<subjetIndices.at(i).size(); ++sj)
466  {
467  int subjetHadronFlavour = 0; // default hadron flavour set to 0 (= undefined)
468  int subjetPartonFlavour = 0; // default parton flavour set to 0 (= undefined)
469 
470  // set hadron- and parton-based flavours
471  setFlavours(assignedbHadrons.at(sj), assignedcHadrons.at(sj), assignedPartons.at(sj), subjetHadronFlavour, subjetPartonFlavour);
472 
473  // set the JetFlavourInfo for this subjet
474  (*subjetFlavourInfos)[subjets->refAt(subjetIndices.at(i).at(sj))] = reco::JetFlavourInfo(assignedbHadrons.at(sj), assignedcHadrons.at(sj), assignedPartons.at(sj), assignedLeptons.at(sj), subjetHadronFlavour, subjetPartonFlavour);
475  }
476  }
477  }
478 
479  //deallocate only at the end of the event processing
480  fjClusterSeq_.reset();
481 
482  // put jet flavour infos in the event
483  iEvent.put(std::move(jetFlavourInfos));
484  // put subjet flavour infos in the event
485  if( useSubjets_ )
486  iEvent.put(std::move(subjetFlavourInfos), "SubJets" );
487 }
const reco::GenParticleRef & particleRef() const
edm::EDGetTokenT< reco::GenParticleRefVector > leptonsToken_
OrphanHandle< PROD > put(std::unique_ptr< PROD > product)
Put a new product.
Definition: Event.h:125
void assignToSubjets(const reco::GenParticleRefVector &clusteredParticles, const edm::Handle< edm::View< reco::Jet > > &subjets, const std::vector< int > &subjetIndices, std::vector< reco::GenParticleRefVector > &assignedParticles)
bool getByToken(EDGetToken token, Handle< PROD > &result) const
Definition: Event.h:517
void insertGhosts(const edm::Handle< reco::GenParticleRefVector > &particles, const double ghostRescaling, const bool isHadron, const bool isbHadron, const bool isParton, const bool isLepton, std::vector< fastjet::PseudoJet > &constituents)
edm::EDGetTokenT< edm::View< reco::Jet > > subjetsToken_
bool isAvailable() const
Definition: Ptr.h:258
void setFlavours(const reco::GenParticleRefVector &clusteredbHadrons, const reco::GenParticleRefVector &clusteredcHadrons, const reco::GenParticleRefVector &clusteredPartons, int &hadronFlavour, int &partonFlavour)
const edm::EDGetTokenT< reco::GenParticleRefVector > bHadronsToken_
void matchGroomedJets(const edm::Handle< edm::View< reco::Jet > > &jets, const edm::Handle< edm::View< reco::Jet > > &matchedJets, std::vector< int > &matchedIndices)
const edm::EDGetTokenT< reco::GenParticleRefVector > partonsToken_
const bool isParton() const
const bool isLepton() const
edm::RefToBaseProd< reco::Jet > JetRefBaseProd
Definition: JetCollection.h:14
const edm::EDGetTokenT< reco::GenParticleRefVector > cHadronsToken_
vector< PseudoJet > jets
Class storing the jet flavour information.
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
bool isNonnull() const
Checks for non-null.
Definition: Ptr.h:168
void matchReclusteredJets(const edm::Handle< edm::View< reco::Jet > > &jets, const std::vector< fastjet::PseudoJet > &matchedJets, std::vector< int > &matchedIndices)
edm::RefVector< GenParticleCollection > GenParticleRefVector
vector of reference to GenParticle in the same collection
std::shared_ptr< fastjet::ClusterSequence > ClusterSequencePtr
const edm::EDGetTokenT< edm::View< reco::Jet > > jetsToken_
hadronFlavour
Definition: jets_cff.py:588
boost::indirect_iterator< typename seq_t::const_iterator > const_iterator
Definition: View.h:86
partonFlavour
Definition: jets_cff.py:587
const bool isbHadron() const
edm::EDGetTokenT< edm::View< reco::Jet > > groomedJetsToken_
const bool isHadron() const
void push_back(value_type const &ref)
Add a Ref<C, T> to the RefVector.
Definition: RefVector.h:69
size_type size() const
Size of the RefVector.
Definition: RefVector.h:107
void matchSubjets(const std::vector< int > &groomedIndices, const edm::Handle< edm::View< reco::Jet > > &groomedJets, const edm::Handle< edm::View< reco::Jet > > &subjets, std::vector< std::vector< int > > &matchedIndices)
ClusterSequencePtr fjClusterSeq_
def move(src, dest)
Definition: eostools.py:511
void JetFlavourClustering::setFlavours ( const reco::GenParticleRefVector clusteredbHadrons,
const reco::GenParticleRefVector clusteredcHadrons,
const reco::GenParticleRefVector clusteredPartons,
int &  hadronFlavour,
int &  partonFlavour 
)
private

Definition at line 643 of file JetFlavourClustering.cc.

References funct::abs(), edm::RefVector< C, T, F >::begin(), edm::RefVector< C, T, F >::empty(), edm::RefVector< C, T, F >::end(), jets_cff::hadronFlavour, hadronFlavourHasPriority_, CandMCTagUtils::isLightParton(), edm::Ref< C, T, F >::isNonnull(), and edm::Ref< C, T, F >::isNull().

Referenced by produce().

648 {
649  reco::GenParticleRef hardestParton;
650  reco::GenParticleRef hardestLightParton;
651  reco::GenParticleRef flavourParton;
652 
653  // loop over clustered partons (already sorted by Pt)
654  for(reco::GenParticleRefVector::const_iterator it = clusteredPartons.begin(); it != clusteredPartons.end(); ++it)
655  {
656  // hardest parton
657  if( hardestParton.isNull() )
658  hardestParton = (*it);
659  // hardest light-flavour parton
660  if( hardestLightParton.isNull() )
661  {
662  if( CandMCTagUtils::isLightParton( *(*it) ) )
663  hardestLightParton = (*it);
664  }
665  // c flavour
666  if( flavourParton.isNull() && ( std::abs( (*it)->pdgId() ) == 4 ) )
667  flavourParton = (*it);
668  // b flavour gets priority
669  if( std::abs( (*it)->pdgId() ) == 5 )
670  {
671  if( flavourParton.isNull() )
672  flavourParton = (*it);
673  else if( std::abs( flavourParton->pdgId() ) != 5 )
674  flavourParton = (*it);
675  }
676  }
677 
678  // set hadron-based flavour
679  if( !clusteredbHadrons.empty() )
680  hadronFlavour = 5;
681  else if( !clusteredcHadrons.empty() && clusteredbHadrons.empty() )
682  hadronFlavour = 4;
683  // set parton-based flavour
684  if( flavourParton.isNull() )
685  {
686  if( hardestParton.isNonnull() ) partonFlavour = hardestParton->pdgId();
687  }
688  else
689  partonFlavour = flavourParton->pdgId();
690 
691  // if enabled, check for conflicts between hadron- and parton-based flavours and give priority to the hadron-based flavour
693  {
695  partonFlavour = ( hardestLightParton.isNonnull() ? hardestLightParton->pdgId() : 0 );
698  }
699 }
bool isLightParton(const reco::Candidate &c)
Definition: CandMCTag.cc:63
bool isNonnull() const
Checks for non-null.
Definition: Ref.h:251
const_iterator end() const
Termination of iteration.
Definition: RefVector.h:253
bool empty() const
Is the RefVector empty.
Definition: RefVector.h:104
const_iterator begin() const
Initialize an iterator over the RefVector.
Definition: RefVector.h:248
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
bool isNull() const
Checks for null.
Definition: Ref.h:248
hadronFlavour
Definition: jets_cff.py:588
partonFlavour
Definition: jets_cff.py:587

Member Data Documentation

const edm::EDGetTokenT<reco::GenParticleRefVector> JetFlavourClustering::bHadronsToken_
private

Definition at line 182 of file JetFlavourClustering.cc.

Referenced by produce().

const edm::EDGetTokenT<reco::GenParticleRefVector> JetFlavourClustering::cHadronsToken_
private

Definition at line 183 of file JetFlavourClustering.cc.

Referenced by produce().

ClusterSequencePtr JetFlavourClustering::fjClusterSeq_
private

Definition at line 196 of file JetFlavourClustering.cc.

Referenced by produce().

JetDefPtr JetFlavourClustering::fjJetDefinition_
private

Definition at line 197 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering(), and produce().

const double JetFlavourClustering::ghostRescaling_
private

Definition at line 190 of file JetFlavourClustering.cc.

Referenced by produce().

edm::EDGetTokenT<edm::View<reco::Jet> > JetFlavourClustering::groomedJetsToken_
private

Definition at line 180 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering(), and produce().

const bool JetFlavourClustering::hadronFlavourHasPriority_
private

Definition at line 192 of file JetFlavourClustering.cc.

Referenced by setFlavours().

const std::string JetFlavourClustering::jetAlgorithm_
private

Definition at line 187 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering().

const double JetFlavourClustering::jetPtMin_
private

Definition at line 189 of file JetFlavourClustering.cc.

Referenced by produce().

const edm::EDGetTokenT<edm::View<reco::Jet> > JetFlavourClustering::jetsToken_
private

Definition at line 179 of file JetFlavourClustering.cc.

Referenced by produce().

edm::EDGetTokenT<reco::GenParticleRefVector> JetFlavourClustering::leptonsToken_
private

Definition at line 185 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering(), and produce().

const edm::EDGetTokenT<reco::GenParticleRefVector> JetFlavourClustering::partonsToken_
private

Definition at line 184 of file JetFlavourClustering.cc.

Referenced by produce().

const double JetFlavourClustering::relPtTolerance_
private

Definition at line 191 of file JetFlavourClustering.cc.

Referenced by produce().

const double JetFlavourClustering::rParam_
private
edm::EDGetTokenT<edm::View<reco::Jet> > JetFlavourClustering::subjetsToken_
private

Definition at line 181 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering(), and produce().

const bool JetFlavourClustering::useLeptons_
private

Definition at line 194 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering(), and produce().

const bool JetFlavourClustering::useSubjets_
private

Definition at line 193 of file JetFlavourClustering.cc.

Referenced by JetFlavourClustering(), and produce().