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DPFIsolation Class Reference
Inheritance diagram for DPFIsolation:
deep_tau::DeepTauBase edm::stream::EDProducer< edm::GlobalCache< DeepTauCache > >

Public Member Functions

 DPFIsolation (const edm::ParameterSet &cfg, const deep_tau::DeepTauCache *cache)
 
- Public Member Functions inherited from deep_tau::DeepTauBase
 DeepTauBase (const edm::ParameterSet &cfg, const OutputCollection &outputs, const DeepTauCache *cache)
 
void produce (edm::Event &event, const edm::EventSetup &es) override
 
 ~DeepTauBase () override
 
- Public Member Functions inherited from edm::stream::EDProducer< edm::GlobalCache< DeepTauCache > >
 EDProducer ()=default
 
bool hasAbilityToProduceInLumis () const final
 
bool hasAbilityToProduceInRuns () const final
 

Static Public Member Functions

static void fillDescriptions (edm::ConfigurationDescriptions &descriptions)
 
static unsigned GetNumberOfFeatures (unsigned graphVersion)
 
static unsigned getNumberOfParticles (unsigned graphVersion)
 
static const OutputCollection & GetOutputs ()
 
- Static Public Member Functions inherited from deep_tau::DeepTauBase
static void globalEndJob (const DeepTauCache *cache)
 
static std::unique_ptr< DeepTauCache > initializeGlobalCache (const edm::ParameterSet &cfg)
 

Private Member Functions

tensorflow::Tensor getPredictions (edm::Event &event, const edm::EventSetup &es, edm::Handle< TauCollection > taus) override
 

Private Attributes

unsigned graphVersion
 

Additional Inherited Members

- Public Types inherited from deep_tau::DeepTauBase
using Cutter = TauWPThreshold
 
using CutterPtr = std::unique_ptr< Cutter >
 
using ElectronCollection = pat::ElectronCollection
 
using LorentzVectorXYZ = ROOT::Math::LorentzVector< ROOT::Math::PxPyPzE4D< double >>
 
using MuonCollection = pat::MuonCollection
 
using OutputCollection = std::map< std::string, Output >
 
using TauCollection = std::vector< TauType >
 
using TauDiscriminator = pat::PATTauDiscriminator
 
using TauRef = edm::Ref< TauCollection >
 
using TauRefProd = edm::RefProd< TauCollection >
 
using TauType = pat::Tau
 
using WPMap = std::map< std::string, CutterPtr >
 
- Public Types inherited from edm::stream::EDProducer< edm::GlobalCache< DeepTauCache > >
typedef CacheContexts< T... > CacheTypes
 
typedef CacheTypes::GlobalCache GlobalCache
 
typedef AbilityChecker< T... > HasAbility
 
typedef CacheTypes::LuminosityBlockCache LuminosityBlockCache
 
typedef LuminosityBlockContextT< LuminosityBlockCache, RunCache, GlobalCache > LuminosityBlockContext
 
typedef CacheTypes::LuminosityBlockSummaryCache LuminosityBlockSummaryCache
 
typedef CacheTypes::RunCache RunCache
 
typedef RunContextT< RunCache, GlobalCache > RunContext
 
typedef CacheTypes::RunSummaryCache RunSummaryCache
 
- Protected Attributes inherited from deep_tau::DeepTauBase
const DeepTauCache * cache_
 
OutputCollection outputs_
 
edm::EDGetTokenT< pat::PackedCandidateCollection > pfcandToken_
 
edm::EDGetTokenT< TauCollection > tausToken_
 
edm::EDGetTokenT< reco::VertexCollection > vtxToken_
 
std::map< std::string, WPMap > workingPoints_
 

Detailed Description

Definition at line 23 of file DPFIsolation.cc.

Constructor & Destructor Documentation

DPFIsolation::DPFIsolation ( const edm::ParameterSet &  cfg,
const deep_tau::DeepTauCache *  cache 
)
inlineexplicit

Definition at line 68 of file DPFIsolation.cc.

References Exception.

68  :
69  DeepTauBase(cfg, GetOutputs(), cache),
70  graphVersion(cfg.getParameter<unsigned>("version"))
71  {
72  const auto& shape = cache_->getGraph().node(0).attr().at("shape").shape();
73 
74  if(!(graphVersion == 1 || graphVersion == 0 ))
75  throw cms::Exception("DPFIsolation") << "unknown version of the graph file.";
76 
77  if(!(shape.dim(1).size() == getNumberOfParticles(graphVersion) && shape.dim(2).size() == GetNumberOfFeatures(graphVersion)))
78  throw cms::Exception("DPFIsolation") << "number of inputs does not match the expected inputs for the given version";
79  }
edm::ParameterSet::getParameter
T getParameter(std::string const &) const
DPFIsolation::getNumberOfParticles
static unsigned getNumberOfParticles(unsigned graphVersion)
Definition: DPFIsolation.cc:32
deep_tau::DeepTauBase::cache_
const DeepTauCache * cache_
Definition: DeepTauBase.h:103
deep_tau::DeepTauCache::getGraph
const tensorflow::GraphDef & getGraph(const std::string &name="") const
Definition: DeepTauBase.h:50
DPFIsolation::GetNumberOfFeatures
static unsigned GetNumberOfFeatures(unsigned graphVersion)
Definition: DPFIsolation.cc:38
deep_tau::DeepTauBase::DeepTauBase
DeepTauBase(const edm::ParameterSet &cfg, const OutputCollection &outputs, const DeepTauCache *cache)
Definition: DeepTauBase.cc:79
DPFIsolation::graphVersion
unsigned graphVersion
Definition: DPFIsolation.cc:394
DPFIsolation::GetOutputs
static const OutputCollection & GetOutputs()
Definition: DPFIsolation.cc:25

Member Function Documentation

static void DPFIsolation::fillDescriptions ( edm::ConfigurationDescriptions &  descriptions)
inlinestatic

Definition at line 44 of file DPFIsolation.cc.

References edm::ConfigurationDescriptions::add(), edm::ParameterSetDescription::add(), and AlCaHLTBitMon_QueryRunRegistry::string.

45  {
46  edm::ParameterSetDescription desc;
47  desc.add<edm::InputTag>("pfcands", edm::InputTag("packedPFCandidates"));
48  desc.add<edm::InputTag>("taus", edm::InputTag("slimmedTaus"));
49  desc.add<edm::InputTag>("vertices", edm::InputTag("offlineSlimmedPrimaryVertices"));
50  desc.add<std::string>("graph_file", "RecoTauTag/TrainingFiles/data/DPFTauId/DPFIsolation_2017v0_quantized.pb");
51  desc.add<unsigned>("version", 0);
52  desc.add<bool>("mem_mapped", false);
53 
54  edm::ParameterSetDescription descWP;
55  descWP.add<std::string>("VVVLoose", "0");
56  descWP.add<std::string>("VVLoose", "0");
57  descWP.add<std::string>("VLoose", "0");
58  descWP.add<std::string>("Loose", "0");
59  descWP.add<std::string>("Medium", "0");
60  descWP.add<std::string>("Tight", "0");
61  descWP.add<std::string>("VTight", "0");
62  descWP.add<std::string>("VVTight", "0");
63  descWP.add<std::string>("VVVTight", "0");
64  desc.add<edm::ParameterSetDescription>("VSallWP", descWP);
65  descriptions.add("DPFTau2016v0", desc);
66  }
AlCaHLTBitMon_QueryRunRegistry.string
string
Definition: AlCaHLTBitMon_QueryRunRegistry.py:256
edm::ParameterSetDescription::add
ParameterDescriptionBase * add(U const &iLabel, T const &value)
Definition: ParameterSetDescription.h:95
edm::ConfigurationDescriptions::add
void add(std::string const &label, ParameterSetDescription const &psetDescription)
Definition: ConfigurationDescriptions.cc:57
static unsigned DPFIsolation::GetNumberOfFeatures ( unsigned  graphVersion)
inlinestatic

Definition at line 38 of file DPFIsolation.cc.

39  {
40  static const std::map<unsigned, unsigned> nfeatures { { 0, 47 }, { 1, 51 } };
41  return nfeatures.at(graphVersion);
42  }
DPFIsolation::graphVersion
unsigned graphVersion
Definition: DPFIsolation.cc:394
static unsigned DPFIsolation::getNumberOfParticles ( unsigned  graphVersion)
inlinestatic

Definition at line 32 of file DPFIsolation.cc.

33  {
34  static const std::map<unsigned, unsigned> nparticles { { 0, 60 }, { 1, 36 } };
35  return nparticles.at(graphVersion);
36  }
DPFIsolation::graphVersion
unsigned graphVersion
Definition: DPFIsolation.cc:394
static const OutputCollection& DPFIsolation::GetOutputs ( )
inlinestatic

Definition at line 25 of file DPFIsolation.cc.

References Output.

26  {
27  const size_t tau_index = 0;
28  static const OutputCollection outputs_ = { { "VSall", Output({tau_index}, {}) } };
29  return outputs_;
30  };
deep_tau::DeepTauBase::OutputCollection
std::map< std::string, Output > OutputCollection
Definition: DeepTauBase.h:82
deep_tau::DeepTauBase::outputs_
OutputCollection outputs_
Definition: DeepTauBase.h:102
Output
#define Output(cl)
Definition: vmac.h:194
tensorflow::Tensor DPFIsolation::getPredictions ( edm::Event &  event,
const edm::EventSetup &  es,
edm::Handle< TauCollection >  taus 
)
inlineoverrideprivatevirtual

Implements deep_tau::DeepTauBase.

Definition at line 82 of file DPFIsolation.cc.

References funct::abs(), begin, EnergyCorrector::c, pat::PackedCandidate::charge(), constexpr, hiPixelPairStep_cff::deltaPhi, boostedElectronIsolation_cff::deltaR, pat::PackedCandidate::dxy(), pat::PackedCandidate::dxyError(), pat::PackedCandidate::dz(), pat::PackedCandidate::dzError(), end, reco::LeafCandidate::eta(), pat::PackedCandidate::eta(), objects.autophobj::float, pat::PackedCandidate::fromPV(), models::generate(), pat::PackedCandidate::hasTrackDetails(), mps_fire::i, pat::Tau::isTauIDAvailable(), pat::PackedCandidate::lostInnerHits(), min(), gen::n, pat::PackedCandidate::numberOfHits(), pat::PackedCandidate::numberOfPixelHits(), AlCaHLTBitMon_ParallelJobs::p, reco::LeafCandidate::p4(), pat::PackedCandidate::p4(), pat::PackedCandidate::pdgId(), reco::LeafCandidate::phi(), pat::PackedCandidate::phi(), reco::LeafCandidate::pt(), pat::PackedCandidate::pt(), pat::PackedCandidate::puppiWeight(), pat::PackedCandidate::pvAssociationQuality(), reco::LeafCandidate::pz(), tensorflow::run(), pat::Tau::signalCands(), jetUpdater_cfi::sort, mathSSE::sqrt(), metsig::tau, pat::Tau::tauID(), pat::PackedCandidate::trackHighPurity(), electrons_cff::vertices, pat::PackedCandidate::vx(), pat::PackedCandidate::vy(), and pat::PackedCandidate::vz().

84  {
85  edm::Handle<pat::PackedCandidateCollection> pfcands;
86  event.getByToken(pfcandToken_, pfcands);
87 
88  edm::Handle<reco::VertexCollection> vertices;
89  event.getByToken(vtxToken_, vertices);
90 
91  tensorflow::Tensor tensor(tensorflow::DT_FLOAT, {1,
92  static_cast<int>(getNumberOfParticles(graphVersion)), static_cast<int>(GetNumberOfFeatures(graphVersion))});
93 
94  tensorflow::Tensor predictions(tensorflow::DT_FLOAT, { static_cast<int>(taus->size()), 1});
95 
96  std::vector<tensorflow::Tensor> outputs_;
97 
98  float pfCandPt, pfCandPz, pfCandPtRel, pfCandPzRel, pfCandDr, pfCandDEta, pfCandDPhi, pfCandEta, pfCandDz,
99  pfCandDzErr, pfCandD0, pfCandD0D0, pfCandD0Dz, pfCandD0Dphi, pfCandPuppiWeight,
100  pfCandPixHits, pfCandHits, pfCandLostInnerHits, pfCandPdgID, pfCandCharge, pfCandFromPV,
101  pfCandVtxQuality, pfCandHighPurityTrk, pfCandTauIndMatch, pfCandDzSig, pfCandD0Sig, pfCandD0Err,
102  pfCandPtRelPtRel, pfCandDzDz, pfCandDVx_1, pfCandDVy_1, pfCandDVz_1, pfCandD_1;
103  float pvx = !vertices->empty() ? (*vertices)[0].x() : -1;
104  float pvy = !vertices->empty() ? (*vertices)[0].y() : -1;
105  float pvz = !vertices->empty() ? (*vertices)[0].z() : -1;
106 
107  bool pfCandIsBarrel;
108 
109  // These variables define ranges further used for standardization
110  static constexpr float pfCandPt_max = 500.f;
111  static constexpr float pfCandPz_max = 1000.f;
112  static constexpr float pfCandPtRel_max = 1.f;
113  static constexpr float pfCandPzRel_max = 100.f;
114  static constexpr float pfCandPtRelPtRel_max = 1.f;
115  static constexpr float pfCandD0_max = 5.f;
116  static constexpr float pfCandDz_max = 5.f;
117  static constexpr float pfCandDVx_y_z_1_max = 0.05f;
118  static constexpr float pfCandD_1_max = 0.1f;
119  static constexpr float pfCandD0_z_Err_max = 1.f;
120  static constexpr float pfCandDzSig_max = 3.f;
121  static constexpr float pfCandD0Sig_max = 1.f;
122  static constexpr float pfCandDr_max = 0.5f;
123  static constexpr float pfCandEta_max = 2.75f;
124  static constexpr float pfCandDEta_max = 0.5f;
125  static constexpr float pfCandDPhi_max = 0.5f;
126  static constexpr float pfCandPixHits_max = 7.f;
127  static constexpr float pfCandHits_max = 30.f;
128 
129  for(size_t tau_index = 0; tau_index < taus->size(); tau_index++) {
130  pat::Tau tau = taus->at(tau_index);
131  bool isGoodTau = false;
132  const float lepRecoPt = tau.pt();
133  const float lepRecoPz = std::abs(tau.pz());
134  const float lepRecoEta = tau.eta();
135  const float lepRecoPhi = tau.phi();
136 
137  if(lepRecoPt >= 30 && std::abs(lepRecoEta) < 2.3 && tau.isTauIDAvailable("againstMuonLoose3") &&
138  tau.isTauIDAvailable("againstElectronVLooseMVA6")) {
139  isGoodTau = (tau.tauID("againstElectronVLooseMVA6") && tau.tauID("againstMuonLoose3") );
140  }
141 
142  if (!isGoodTau) {
143  predictions.matrix<float>()(tau_index, 0) = -1;
144  continue;
145  }
146 
147  std::vector<unsigned int> signalCandidateInds;
148 
149  for(const auto c : tau.signalCands())
150  signalCandidateInds.push_back(getPFCandidateIndex(pfcands,c));
151 
152  // Use of setZero results in warnings in eigen library during compilation.
153  //tensor.flat<float>().setZero();
154  const unsigned n_inputs = getNumberOfParticles(graphVersion) * GetNumberOfFeatures(graphVersion);
155  for(unsigned input_idx = 0; input_idx < n_inputs; ++input_idx)
156  tensor.flat<float>()(input_idx) = 0;
157 
158  unsigned int iPF = 0;
159  const unsigned max_iPF = getNumberOfParticles(graphVersion);
160 
161  std::vector<unsigned int> sorted_inds(pfcands->size());
162  std::size_t n = 0;
163  std::generate(std::begin(sorted_inds), std::end(sorted_inds), [&]{ return n++; });
164 
165  std::sort(std::begin(sorted_inds), std::end(sorted_inds),
166  [&](int i1, int i2) { return pfcands->at(i1).pt() > pfcands->at(i2).pt(); } );
167 
168  for(size_t pf_index = 0; pf_index < pfcands->size() && iPF < max_iPF; pf_index++) {
169  pat::PackedCandidate p = pfcands->at(sorted_inds.at(pf_index));
170  float deltaR_tau_p = deltaR(p.p4(),tau.p4());
171 
172  if (p.pt() < 0.5) continue;
173  if (p.fromPV() < 0) continue;
174  if (deltaR_tau_p > 0.5) continue;
175  if (p.fromPV() < 1 && p.charge() != 0) continue;
176  pfCandPt = p.pt();
177  pfCandPtRel = p.pt()/lepRecoPt;
178 
179  pfCandDr = deltaR_tau_p;
180  pfCandDEta = std::abs(lepRecoEta - p.eta());
181  pfCandDPhi = std::abs(deltaPhi(lepRecoPhi, p.phi()));
182  pfCandEta = p.eta();
183  pfCandIsBarrel = (std::abs(pfCandEta) < 1.4);
184  pfCandPz = std::abs(std::sinh(pfCandEta)*pfCandPt);
185  pfCandPzRel = pfCandPz/lepRecoPz;
186  pfCandPdgID = std::abs(p.pdgId());
187  pfCandCharge = p.charge();
188  pfCandDVx_1 = p.vx() - pvx;
189  pfCandDVy_1 = p.vy() - pvy;
190  pfCandDVz_1 = p.vz() - pvz;
191 
192  pfCandD_1 = std::sqrt(pfCandDVx_1*pfCandDVx_1 + pfCandDVy_1*pfCandDVy_1 + pfCandDVz_1*pfCandDVz_1);
193 
194  if (pfCandCharge != 0 and p.hasTrackDetails()){
195  pfCandDz = p.dz();
196  pfCandDzErr = p.dzError();
197  pfCandDzSig = (std::abs(p.dz()) + 0.000001)/(p.dzError() + 0.00001);
198  pfCandD0 = p.dxy();
199  pfCandD0Err = p.dxyError();
200  pfCandD0Sig = (std::abs(p.dxy()) + 0.000001)/ (p.dxyError() + 0.00001);
201  pfCandPixHits = p.numberOfPixelHits();
202  pfCandHits = p.numberOfHits();
203  pfCandLostInnerHits = p.lostInnerHits();
204  } else {
205  float disp = 1;
206  int psudorand = p.pt()*1000000;
207  if (psudorand%2 == 0) disp = -1;
208  pfCandDz = 5*disp;
209  pfCandDzErr = 0;
210  pfCandDzSig = 0;
211  pfCandD0 = 5*disp;
212  pfCandD0Err = 0;
213  pfCandD0Sig = 0;
214  pfCandPixHits = 0;
215  pfCandHits = 0;
216  pfCandLostInnerHits = 2.;
217  pfCandDVx_1 = 1;
218  pfCandDVy_1 = 1;
219  pfCandDVz_1 = 1;
220  pfCandD_1 = 1;
221  }
222 
223  pfCandPuppiWeight = p.puppiWeight();
224  pfCandFromPV = p.fromPV();
225  pfCandVtxQuality = p.pvAssociationQuality();
226  pfCandHighPurityTrk = p.trackHighPurity();
227  float pfCandTauIndMatch_temp = 0;
228 
229  for (auto i : signalCandidateInds) {
230  if (i == sorted_inds.at(pf_index)) pfCandTauIndMatch_temp = 1;
231  }
232 
233  pfCandTauIndMatch = pfCandTauIndMatch_temp;
234  pfCandPtRelPtRel = pfCandPtRel*pfCandPtRel;
235  pfCandPt = std::min(pfCandPt, pfCandPt_max);
236  pfCandPt = pfCandPt/pfCandPt_max;
237 
238  pfCandPz = std::min(pfCandPz, pfCandPz_max);
239  pfCandPz = pfCandPz/pfCandPz_max;
240 
241  pfCandPtRel = std::min(pfCandPtRel, pfCandPtRel_max);
242  pfCandPzRel = std::min(pfCandPzRel, pfCandPzRel_max);
243  pfCandPzRel = pfCandPzRel/pfCandPzRel_max;
244  pfCandDr = pfCandDr/pfCandDr_max;
245  pfCandEta = pfCandEta/pfCandEta_max;
246  pfCandDEta = pfCandDEta/pfCandDEta_max;
247  pfCandDPhi = pfCandDPhi/pfCandDPhi_max;
248  pfCandPixHits = pfCandPixHits/pfCandPixHits_max;
249  pfCandHits = pfCandHits/pfCandHits_max;
250 
251  pfCandPtRelPtRel = std::min(pfCandPtRelPtRel, pfCandPtRelPtRel_max);
252 
253  pfCandD0 = std::clamp(pfCandD0, -pfCandD0_max, pfCandD0_max);
254  pfCandD0 = pfCandD0/pfCandD0_max;
255 
256  pfCandDz = std::clamp(pfCandDz, -pfCandDz_max, pfCandDz_max);
257  pfCandDz = pfCandDz/pfCandDz_max;
258 
259  pfCandD0Err = std::min(pfCandD0Err, pfCandD0_z_Err_max);
260  pfCandDzErr = std::min(pfCandDzErr, pfCandD0_z_Err_max);
261  pfCandDzSig = std::min(pfCandDzSig, pfCandDzSig_max);
262  pfCandDzSig = pfCandDzSig/pfCandDzSig_max;
263 
264  pfCandD0Sig = std::min(pfCandD0Sig, pfCandD0Sig_max);
265  pfCandD0D0 = pfCandD0*pfCandD0;
266  pfCandDzDz = pfCandDz*pfCandDz;
267  pfCandD0Dz = pfCandD0*pfCandDz;
268  pfCandD0Dphi = pfCandD0*pfCandDPhi;
269 
270  pfCandDVx_1 = std::clamp(pfCandDVx_1, -pfCandDVx_y_z_1_max, pfCandDVx_y_z_1_max);
271  pfCandDVx_1 = pfCandDVx_1/pfCandDVx_y_z_1_max;
272 
273  pfCandDVy_1 = std::clamp(pfCandDVy_1, -pfCandDVx_y_z_1_max, pfCandDVx_y_z_1_max);
274  pfCandDVy_1 = pfCandDVy_1/pfCandDVx_y_z_1_max;
275 
276  pfCandDVz_1 = std::clamp(pfCandDVz_1, -pfCandDVx_y_z_1_max, pfCandDVx_y_z_1_max);
277  pfCandDVz_1 = pfCandDVz_1/pfCandDVx_y_z_1_max;
278 
279  pfCandD_1 = std::clamp(pfCandD_1, -pfCandD_1_max, pfCandD_1_max);
280  pfCandD_1 = pfCandD_1/ pfCandD_1_max;
281 
282  if (graphVersion == 0) {
283  tensor.tensor<float,3>()( 0, 60-1-iPF, 0) = pfCandPt;
284  tensor.tensor<float,3>()( 0, 60-1-iPF, 1) = pfCandPz;
285  tensor.tensor<float,3>()( 0, 60-1-iPF, 2) = pfCandPtRel;
286  tensor.tensor<float,3>()( 0, 60-1-iPF, 3) = pfCandPzRel;
287  tensor.tensor<float,3>()( 0, 60-1-iPF, 4) = pfCandDr;
288  tensor.tensor<float,3>()( 0, 60-1-iPF, 5) = pfCandDEta;
289  tensor.tensor<float,3>()( 0, 60-1-iPF, 6) = pfCandDPhi;
290  tensor.tensor<float,3>()( 0, 60-1-iPF, 7) = pfCandEta;
291  tensor.tensor<float,3>()( 0, 60-1-iPF, 8) = pfCandDz;
292  tensor.tensor<float,3>()( 0, 60-1-iPF, 9) = pfCandDzSig;
293  tensor.tensor<float,3>()( 0, 60-1-iPF, 10) = pfCandD0;
294  tensor.tensor<float,3>()( 0, 60-1-iPF, 11) = pfCandD0Sig;
295  tensor.tensor<float,3>()( 0, 60-1-iPF, 12) = pfCandDzErr;
296  tensor.tensor<float,3>()( 0, 60-1-iPF, 13) = pfCandD0Err;
297  tensor.tensor<float,3>()( 0, 60-1-iPF, 14) = pfCandD0D0;
298  tensor.tensor<float,3>()( 0, 60-1-iPF, 15) = pfCandCharge==0;
299  tensor.tensor<float,3>()( 0, 60-1-iPF, 16) = pfCandCharge==1;
300  tensor.tensor<float,3>()( 0, 60-1-iPF, 17) = pfCandCharge==-1;
301  tensor.tensor<float,3>()( 0, 60-1-iPF, 18) = pfCandPdgID>22;
302  tensor.tensor<float,3>()( 0, 60-1-iPF, 19) = pfCandPdgID==22;
303  tensor.tensor<float,3>()( 0, 60-1-iPF, 20) = pfCandDzDz;
304  tensor.tensor<float,3>()( 0, 60-1-iPF, 21) = pfCandD0Dz;
305  tensor.tensor<float,3>()( 0, 60-1-iPF, 22) = pfCandD0Dphi;
306  tensor.tensor<float,3>()( 0, 60-1-iPF, 23) = pfCandPtRelPtRel;
307  tensor.tensor<float,3>()( 0, 60-1-iPF, 24) = pfCandPixHits;
308  tensor.tensor<float,3>()( 0, 60-1-iPF, 25) = pfCandHits;
309  tensor.tensor<float,3>()( 0, 60-1-iPF, 26) = pfCandLostInnerHits==-1;
310  tensor.tensor<float,3>()( 0, 60-1-iPF, 27) = pfCandLostInnerHits==0;
311  tensor.tensor<float,3>()( 0, 60-1-iPF, 28) = pfCandLostInnerHits==1;
312  tensor.tensor<float,3>()( 0, 60-1-iPF, 29) = pfCandLostInnerHits==2;
313  tensor.tensor<float,3>()( 0, 60-1-iPF, 30) = pfCandPuppiWeight;
314  tensor.tensor<float,3>()( 0, 60-1-iPF, 31) = (pfCandVtxQuality == 1);
315  tensor.tensor<float,3>()( 0, 60-1-iPF, 32) = (pfCandVtxQuality == 5);
316  tensor.tensor<float,3>()( 0, 60-1-iPF, 33) = (pfCandVtxQuality == 6);
317  tensor.tensor<float,3>()( 0, 60-1-iPF, 34) = (pfCandVtxQuality == 7);
318  tensor.tensor<float,3>()( 0, 60-1-iPF, 35) = (pfCandFromPV == 1);
319  tensor.tensor<float,3>()( 0, 60-1-iPF, 36) = (pfCandFromPV == 2);
320  tensor.tensor<float,3>()( 0, 60-1-iPF, 37) = (pfCandFromPV == 3);
321  tensor.tensor<float,3>()( 0, 60-1-iPF, 38) = pfCandIsBarrel;
322  tensor.tensor<float,3>()( 0, 60-1-iPF, 39) = pfCandHighPurityTrk;
323  tensor.tensor<float,3>()( 0, 60-1-iPF, 40) = pfCandPdgID==1;
324  tensor.tensor<float,3>()( 0, 60-1-iPF, 41) = pfCandPdgID==2;
325  tensor.tensor<float,3>()( 0, 60-1-iPF, 42) = pfCandPdgID==11;
326  tensor.tensor<float,3>()( 0, 60-1-iPF, 43) = pfCandPdgID==13;
327  tensor.tensor<float,3>()( 0, 60-1-iPF, 44) = pfCandPdgID==130;
328  tensor.tensor<float,3>()( 0, 60-1-iPF, 45) = pfCandPdgID==211;
329  tensor.tensor<float,3>()( 0, 60-1-iPF, 46) = pfCandTauIndMatch;
330  }
331 
332  if (graphVersion == 1) {
333  tensor.tensor<float,3>()( 0, 36-1-iPF, 0) = pfCandPt;
334  tensor.tensor<float,3>()( 0, 36-1-iPF, 1) = pfCandPz;
335  tensor.tensor<float,3>()( 0, 36-1-iPF, 2) = pfCandPtRel;
336  tensor.tensor<float,3>()( 0, 36-1-iPF, 3) = pfCandPzRel;
337  tensor.tensor<float,3>()( 0, 36-1-iPF, 4) = pfCandDr;
338  tensor.tensor<float,3>()( 0, 36-1-iPF, 5) = pfCandDEta;
339  tensor.tensor<float,3>()( 0, 36-1-iPF, 6) = pfCandDPhi;
340  tensor.tensor<float,3>()( 0, 36-1-iPF, 7) = pfCandEta;
341  tensor.tensor<float,3>()( 0, 36-1-iPF, 8) = pfCandDz;
342  tensor.tensor<float,3>()( 0, 36-1-iPF, 9) = pfCandDzSig;
343  tensor.tensor<float,3>()( 0, 36-1-iPF, 10) = pfCandD0;
344  tensor.tensor<float,3>()( 0, 36-1-iPF, 11) = pfCandD0Sig;
345  tensor.tensor<float,3>()( 0, 36-1-iPF, 12) = pfCandDzErr;
346  tensor.tensor<float,3>()( 0, 36-1-iPF, 13) = pfCandD0Err;
347  tensor.tensor<float,3>()( 0, 36-1-iPF, 14) = pfCandD0D0;
348  tensor.tensor<float,3>()( 0, 36-1-iPF, 15) = pfCandCharge==0;
349  tensor.tensor<float,3>()( 0, 36-1-iPF, 16) = pfCandCharge==1;
350  tensor.tensor<float,3>()( 0, 36-1-iPF, 17) = pfCandCharge==-1;
351  tensor.tensor<float,3>()( 0, 36-1-iPF, 18) = pfCandPdgID>22;
352  tensor.tensor<float,3>()( 0, 36-1-iPF, 19) = pfCandPdgID==22;
353  tensor.tensor<float,3>()( 0, 36-1-iPF, 20) = pfCandDVx_1;
354  tensor.tensor<float,3>()( 0, 36-1-iPF, 21) = pfCandDVy_1;
355  tensor.tensor<float,3>()( 0, 36-1-iPF, 22) = pfCandDVz_1;
356  tensor.tensor<float,3>()( 0, 36-1-iPF, 23) = pfCandD_1;
357  tensor.tensor<float,3>()( 0, 36-1-iPF, 24) = pfCandDzDz;
358  tensor.tensor<float,3>()( 0, 36-1-iPF, 25) = pfCandD0Dz;
359  tensor.tensor<float,3>()( 0, 36-1-iPF, 26) = pfCandD0Dphi;
360  tensor.tensor<float,3>()( 0, 36-1-iPF, 27) = pfCandPtRelPtRel;
361  tensor.tensor<float,3>()( 0, 36-1-iPF, 28) = pfCandPixHits;
362  tensor.tensor<float,3>()( 0, 36-1-iPF, 29) = pfCandHits;
363  tensor.tensor<float,3>()( 0, 36-1-iPF, 30) = pfCandLostInnerHits==-1;
364  tensor.tensor<float,3>()( 0, 36-1-iPF, 31) = pfCandLostInnerHits==0;
365  tensor.tensor<float,3>()( 0, 36-1-iPF, 32) = pfCandLostInnerHits==1;
366  tensor.tensor<float,3>()( 0, 36-1-iPF, 33) = pfCandLostInnerHits==2;
367  tensor.tensor<float,3>()( 0, 36-1-iPF, 34) = pfCandPuppiWeight;
368  tensor.tensor<float,3>()( 0, 36-1-iPF, 35) = (pfCandVtxQuality == 1);
369  tensor.tensor<float,3>()( 0, 36-1-iPF, 36) = (pfCandVtxQuality == 5);
370  tensor.tensor<float,3>()( 0, 36-1-iPF, 37) = (pfCandVtxQuality == 6);
371  tensor.tensor<float,3>()( 0, 36-1-iPF, 38) = (pfCandVtxQuality == 7);
372  tensor.tensor<float,3>()( 0, 36-1-iPF, 39) = (pfCandFromPV == 1);
373  tensor.tensor<float,3>()( 0, 36-1-iPF, 40) = (pfCandFromPV == 2);
374  tensor.tensor<float,3>()( 0, 36-1-iPF, 41) = (pfCandFromPV == 3);
375  tensor.tensor<float,3>()( 0, 36-1-iPF, 42) = pfCandIsBarrel;
376  tensor.tensor<float,3>()( 0, 36-1-iPF, 43) = pfCandHighPurityTrk;
377  tensor.tensor<float,3>()( 0, 36-1-iPF, 44) = pfCandPdgID==1;
378  tensor.tensor<float,3>()( 0, 36-1-iPF, 45) = pfCandPdgID==2;
379  tensor.tensor<float,3>()( 0, 36-1-iPF, 46) = pfCandPdgID==11;
380  tensor.tensor<float,3>()( 0, 36-1-iPF, 47) = pfCandPdgID==13;
381  tensor.tensor<float,3>()( 0, 36-1-iPF, 48) = pfCandPdgID==130;
382  tensor.tensor<float,3>()( 0, 36-1-iPF, 49) = pfCandPdgID==211;
383  tensor.tensor<float,3>()( 0, 36-1-iPF, 50) = pfCandTauIndMatch;
384  }
385  iPF++;
386  }
387  tensorflow::run(&(cache_->getSession()), { { "input_1", tensor } }, { "output_node0" }, {}, &outputs_);
388  predictions.matrix<float>()(tau_index, 0) = outputs_[0].flat<float>()(0);
389  }
390  return predictions;
391  }
pat::PackedCandidate::puppiWeight
float puppiWeight() const
Definition: PackedCandidate.cc:466
pat::PackedCandidate::dz
virtual float dz(size_t ipv=0) const
dz with respect to the PV[ipv]
Definition: PackedCandidate.h:678
jetUpdater_cfi.sort
sort
Definition: jetUpdater_cfi.py:29
pat::PackedCandidate::dxyError
float dxyError() const override
uncertainty on dxy
Definition: PackedCandidate.h:699
mps_fire.i
i
Definition: mps_fire.py:338
reco::LeafCandidate::eta
double eta() const final
momentum pseudorapidity
Definition: LeafCandidate.h:137
AlCaHLTBitMon_ParallelJobs.p
p
Definition: AlCaHLTBitMon_ParallelJobs.py:153
pat::PackedCandidate::numberOfHits
int numberOfHits() const
Definition: PackedCandidate.h:586
pat::PackedCandidate::pdgId
int pdgId() const override
PDG identifier.
Definition: PackedCandidate.h:779
DPFIsolation::getNumberOfParticles
static unsigned getNumberOfParticles(unsigned graphVersion)
Definition: DPFIsolation.cc:32
deep_tau::DeepTauBase::cache_
const DeepTauCache * cache_
Definition: DeepTauBase.h:103
pat::PackedCandidate::p4
const LorentzVector & p4() const override
four-momentum Lorentz vecto r
Definition: PackedCandidate.h:346
pat::PackedCandidate::dzError
float dzError() const override
uncertainty on dz
Definition: PackedCandidate.h:694
electrons_cff.vertices
vertices
Definition: electrons_cff.py:28
reco::LeafCandidate::pt
double pt() const final
transverse momentum
Definition: LeafCandidate.h:131
pat::Tau::tauID
float tauID(const std::string &name) const
pat::Tau::signalCands
reco::CandidatePtrVector signalCands() const
pat::PackedCandidate::vz
double vz() const override
z coordinate of vertex position
Definition: PackedCandidate.h:619
models.generate
def generate(map_blobs=False, class_name=None)
Definition: models.py:189
deep_tau::DeepTauBase::outputs_
OutputCollection outputs_
Definition: DeepTauBase.h:102
pat::PackedCandidate::charge
int charge() const override
electric charge
Definition: PackedCandidate.h:323
pat::PackedCandidate::vy
double vy() const override
y coordinate of vertex position
Definition: PackedCandidate.h:614
DPFIsolation::GetNumberOfFeatures
static unsigned GetNumberOfFeatures(unsigned graphVersion)
Definition: DPFIsolation.cc:38
pat::PackedCandidate::pvAssociationQuality
const PVAssociationQuality pvAssociationQuality() const
Definition: PackedCandidate.h:659
boostedElectronIsolation_cff.deltaR
deltaR
Definition: boostedElectronIsolation_cff.py:77
reco::LeafCandidate::pz
double pz() const final
z coordinate of momentum vector
Definition: LeafCandidate.h:129
pat::PackedCandidate::fromPV
const PVAssoc fromPV(size_t ipv=0) const
Definition: PackedCandidate.h:633
mathSSE::sqrt
T sqrt(T t)
Definition: SSEVec.h:18
pat::PackedCandidate::trackHighPurity
bool trackHighPurity() const
true if the track had the highPurity quality bit
Definition: PackedCandidate.h:731
pat::PackedCandidate::lostInnerHits
LostInnerHits lostInnerHits() const
Definition: PackedCandidate.h:749
funct::abs
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
reco::LeafCandidate::p4
const LorentzVector & p4() const final
four-momentum Lorentz vector
Definition: LeafCandidate.h:99
pat::PackedCandidate::pt
double pt() const override
transverse momentum
Definition: PackedCandidate.h:431
end
#define end
Definition: vmac.h:39
min
T min(T a, T b)
Definition: MathUtil.h:58
pat::PackedCandidate::numberOfPixelHits
int numberOfPixelHits() const
Definition: PackedCandidate.h:583
pat::Tau
Analysis-level tau class.
Definition: Tau.h:56
pat::PackedCandidate::hasTrackDetails
bool hasTrackDetails() const
Return true if a bestTrack can be extracted from this Candidate.
Definition: PackedCandidate.h:726
pat::Tau::isTauIDAvailable
bool isTauIDAvailable(const std::string &name) const
Returns true if a specific ID is available in this pat::Tau.
pat::PackedCandidate::eta
double eta() const override
momentum pseudorapidity
Definition: PackedCandidate.h:471
pat::PackedCandidate::phi
double phi() const override
momentum azimuthal angle
Definition: PackedCandidate.h:437
begin
#define begin
Definition: vmac.h:32
DPFIsolation::graphVersion
unsigned graphVersion
Definition: DPFIsolation.cc:394
tensorflow::run
void run(Session *session, const NamedTensorList &inputs, const std::vector< std::string > &outputNames, const std::vector< std::string > &targetNodes, std::vector< Tensor > *outputs)
Definition: TensorFlow.cc:210
hiPixelPairStep_cff.deltaPhi
deltaPhi
Definition: hiPixelPairStep_cff.py:87
pat::PackedCandidate::dxy
virtual float dxy() const
dxy with respect to the PV ref
Definition: PackedCandidate.h:673
reco::LeafCandidate::phi
double phi() const final
momentum azimuthal angle
Definition: LeafCandidate.h:133
pat::PackedCandidate::vx
double vx() const override
x coordinate of vertex position
Definition: PackedCandidate.h:609
constexpr
#define constexpr
Definition: GCC11Compatibility.h:35
deep_tau::DeepTauCache::getSession
tensorflow::Session & getSession(const std::string &name="") const
Definition: DeepTauBase.h:49
deep_tau::DeepTauBase::pfcandToken_
edm::EDGetTokenT< pat::PackedCandidateCollection > pfcandToken_
Definition: DeepTauBase.h:99
deep_tau::DeepTauBase::vtxToken_
edm::EDGetTokenT< reco::VertexCollection > vtxToken_
Definition: DeepTauBase.h:100

Member Data Documentation

unsigned DPFIsolation::graphVersion
private

Definition at line 394 of file DPFIsolation.cc.

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