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DecoratePLIT.cxx
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1// This is -*- c++ -*-
2
3/*
4 Copyright (C) 2002-2026 CERN for the benefit of the ATLAS collaboration
5*/
6
11
12
13namespace Prompt {
14
15 DecoratePLIT::DecoratePLIT(const std::string &name, ISvcLocator *pSvcLocator)
16 : AthReentrantAlgorithm(name, pSvcLocator)
17 {}
18
20 ATH_MSG_DEBUG("Initializing DecoratePLIT " << name() );
21 ATH_MSG_DEBUG("m_leptonsName = " << m_leptonsName);
22
23 ATH_MSG_DEBUG("Initializing " << m_electronsKey);
24 ATH_MSG_DEBUG("Initializing " << m_muonsKey);
25 ATH_MSG_DEBUG("Initializing " << m_trackjetsKey);
26 ATH_MSG_DEBUG("Initializing " << m_tracksKey);
27 ATH_MSG_DEBUG("Initializing " << m_caloclustersKey);
28
29 ATH_CHECK(m_electronsKey.initialize(m_leptonsName == "Electrons"));
30 ATH_CHECK(m_muonsKey.initialize(m_leptonsName == "Muons"));
31 ATH_CHECK(m_trackjetsKey.initialize());
32 ATH_CHECK(m_tracksKey.initialize());
33 ATH_CHECK(m_caloclustersKey.initialize());
34
35 // initialise accessors
37
38 // Load and initialize the neural network model from the given file path.
39 if(m_leptonsName == "Electrons") {
40 std::string fullPathToOnnxFile = PathResolverFindCalibFile(m_configPath.value() + m_configFileVersion.value());
41 m_saltModel = std::make_shared<FlavorTagInference::SaltModel>(fullPathToOnnxFile);
42
43 std::string fullPathToOnnxFile_endcap = PathResolverFindCalibFile(m_configPath.value() + m_configFileVersion_endcap.value());
44 m_saltModel_endcap = std::make_shared<FlavorTagInference::SaltModel>(fullPathToOnnxFile_endcap);
45
48
49 // set up decorators using a dummy query of the onnx model
50 std::map<std::string, FlavorTagInference::Inputs> gnn_input;
51
52 std::vector<float> elec_feat(m_num_lepton_features, 0.);
53 std::vector<int64_t> elec_feat_dim = {1, static_cast<int64_t>(elec_feat.size())};
54 FlavorTagInference::Inputs elec_info (elec_feat, elec_feat_dim);
55 gnn_input.insert({"jet_features", elec_info}); // need to use the "jet_features" keyword as we are borrowing flavour tagging code
56
57 std::vector<float> track_feat(m_num_track_features, 0.);
58 std::vector<int64_t> track_feat_dim = {1, m_num_track_features};
59 FlavorTagInference::Inputs track_info(track_feat, track_feat_dim);
60 gnn_input.insert({"track_features", track_info});
61
62 auto [out_f, out_vc, out_vf] = m_saltModel->runInference(gnn_input); // the dummy evaluation
63
64 std::vector<std::string> output_names;
65 for (auto& singlefloat : out_f){
66 ATH_MSG_DEBUG("Found Electron output: "+singlefloat.first);
67 std::string outname = m_electronsKey.key()+"." + m_TaggerName + "_" + (singlefloat.first.find("elxpromp") != std::string::npos ? "PLITel_pelxpromp" : "PLITel_pnpxall" );
68 ATH_MSG_DEBUG("Decorating as "+outname);
69 output_names.push_back(outname);
70 }
71 ATH_CHECK(m_dec_el_plit_output.assign(output_names));
72 ATH_CHECK(m_dec_el_plit_output.initialize());
73 }
74 else if (m_leptonsName == "Muons") {
75 std::string fullPathToOnnxFile = PathResolverFindCalibFile(m_configPath.value() + m_configFileVersion.value());
76 m_saltModel = std::make_shared<FlavorTagInference::SaltModel>(fullPathToOnnxFile);
77
80
81 // set up decorators using a dummy query of the onnx model
82 std::map<std::string, FlavorTagInference::Inputs> gnn_input;
83
84 std::vector<float> muon_feat(m_num_lepton_features, 0.);
85 std::vector<int64_t> muon_feat_dim = {1, static_cast<int64_t>(muon_feat.size())};
86 FlavorTagInference::Inputs muon_info (muon_feat, muon_feat_dim);
87 gnn_input.insert({"jet_features", muon_info}); // need to use the "jet_features" keyword as we are borrowing flavour tagging code
88
89 std::vector<float> track_feat(m_num_track_features, 0.);
90 std::vector<int64_t> track_feat_dim = {1, m_num_track_features};
91 FlavorTagInference::Inputs track_info(track_feat, track_feat_dim);
92 gnn_input.insert({"track_features", track_info});
93
94 auto [out_f, out_vc, out_vf] = m_saltModel->runInference(gnn_input); // the dummy evaluation
95
96 std::vector<std::string> output_names;
97 for (auto& singlefloat : out_f){
98 ATH_MSG_DEBUG("Found Muon output: "+singlefloat.first);
99 std::string outname = m_muonsKey.key()+"." + m_TaggerName + "_" + (singlefloat.first.find("muxpromp") != std::string::npos ? "TPLTmu_pmuxpromp" : "TPLTmu_pnpxall" );
100 ATH_MSG_DEBUG("Decorating as "+outname);
101 output_names.push_back(outname);
102 }
103 ATH_CHECK(m_dec_mu_plit_output.assign(output_names));
104 ATH_CHECK(m_dec_mu_plit_output.initialize());
105 }
106 else {
107 ATH_MSG_ERROR(" ==> topology is not recognised! aborting.");
108 return StatusCode::FAILURE;
109 }
110
111 ATH_MSG_INFO("DecoratePLIT " << name() << " initialization done." );
112
113 return StatusCode::SUCCESS;
114 }
115
116 StatusCode DecoratePLIT::execute(const EventContext& ctx) const {
119
120 // Define decorators
125
126 // Make sure the decorations are filled for every track
127 for (const xAOD::TrackParticle* track : *tracks) {
128 dec_trk_dr_lepton(*track) = -999.0;
129 dec_trk_dr_leptontrack(*track) = -999.0;
130 dec_trk_electron_track(*track) = static_cast<char>(false);
131 dec_trk_muon_track(*track) = static_cast<char>(false);
132 }
133
134 if (!m_electronsKey.empty()) {
135 // prepare decorators
136 // ------------------
137 std::vector<SG::WriteDecorHandle<xAOD::ElectronContainer, float>> dec_el_plit_output;
138 for (const auto& wdhk: m_dec_el_plit_output) {
139 dec_el_plit_output.emplace_back(wdhk, ctx);
140 }
142 for (const xAOD::Electron* elec : *electrons) {
143 if (!predictElec(dec_trk_dr_lepton, dec_trk_dr_leptontrack, dec_trk_electron_track, dec_trk_muon_track,
144 *elec, *tracks, *caloclusters, dec_el_plit_output, ctx)) {
145 ATH_MSG_ERROR("DecoratePLIT::execute - failed to predict electron");
146 return StatusCode::FAILURE;
147 }
148 }
149 } else if (!m_muonsKey.empty()) {
150 // prepare decorators
151 // ------------------
152 std::vector<SG::WriteDecorHandle<xAOD::MuonContainer, float>> dec_mu_plit_output;
153 for (const auto& wdhk: m_dec_mu_plit_output) {
154 dec_mu_plit_output.emplace_back(wdhk, ctx);
155 }
157 for (const xAOD::Muon* muon : *muons) {
158 if (!predictMuon(dec_trk_dr_lepton, dec_trk_dr_leptontrack, dec_trk_electron_track, dec_trk_muon_track,
159 *muon, *tracks, dec_mu_plit_output, ctx)) {
160 ATH_MSG_ERROR("DecoratePLIT::execute - failed to predict muon");
161 return StatusCode::FAILURE;
162 }
163 }
164 }
165
166 return StatusCode::SUCCESS;
167 }
168
170
171 ATH_CHECK(m_acc_mu_ptvarcone30TTVA.initialize(!m_muonsKey.empty()));
172 ATH_CHECK(m_acc_mu_topoetcone30.initialize(!m_muonsKey.empty()));
173
174 ATH_CHECK(m_acc_el_ptvarcone30.initialize(!m_electronsKey.empty()));
175 ATH_CHECK(m_acc_el_topoetcone30.initialize(!m_electronsKey.empty()));
176
177 ATH_CHECK(m_acc_trk_dr_lepton.initialize());
179 ATH_CHECK(m_acc_trk_d0.initialize());
180 ATH_CHECK(m_acc_trk_z0SinTheta.initialize());
183 ATH_CHECK(m_acc_trk_muon_track.initialize());
185
186 ATH_CHECK(m_dec_trk_dr_lepton.initialize());
188 ATH_CHECK(m_dec_trk_muon_track.initialize());
190
195
196 return StatusCode::SUCCESS;
197
198 }
199
205 const xAOD::Muon &muon,
206 const xAOD::TrackParticleContainer &tracks,
207 std::vector<SG::WriteDecorHandle<xAOD::MuonContainer, float>> &dec_mu_plit_output,
208 const EventContext& ctx) const {
209 // set up accessors
210 // ---------------
213
221
222 // prepare input
223 // -------------
224 std::map<std::string, FlavorTagInference::Inputs> gnn_input;
225
226 // collect muon features
227 float muon_pt = muon.pt();
228 float muon_eta = muon.eta();
229 float muon_phi = muon.phi();
230
231 float muon_ptvarcone30TTVARel = acc_ptvarcone30TTVA(muon) / muon_pt;
232 float muon_topoetcone30Rel = acc_topoetcone30(muon) / muon_pt;
233
234 float muon_caloClusterERel = -99;
235 const xAOD::CaloCluster* cluster = muon.cluster();
236 if (cluster) {
237 float energyloss = 0;
238 if (!muon.parameter(energyloss,xAOD::Muon::EnergyLoss)) {
239 ATH_MSG_WARNING("DecoratePLIT::execute - failed to retrieve energy loss");
240 return StatusCode::FAILURE;
241 }
242 float calE = cluster->calE();
243 // TODO: in future trainings, we need to prevent negative energy loss values
244 // keeping it as is for now, since latest trainings have been done without this check
245 // only protecting against zero energy loss
246 if (std::abs(energyloss) != 0)
247 muon_caloClusterERel = calE / energyloss;
248 }
249
250 // package muon features for inference
251 std::vector<float> muon_feat = {
252 muon_pt,
253 muon_eta,
254 muon_phi,
255 muon_ptvarcone30TTVARel,
256 muon_topoetcone30Rel,
257 muon_caloClusterERel};
258 std::vector<int64_t> muon_feat_dim = {1, static_cast<int64_t>(muon_feat.size())};
259
260 // need to use the "jet_features" keyword as we are borrowing flavour tagging code
261 FlavorTagInference::Inputs muon_info (muon_feat, muon_feat_dim);
262 gnn_input.insert({"jet_features", muon_info});
263
264 // decorate and fill track particles around the muon
265 const xAOD::TrackParticle *muonTrack = muon.primaryTrackParticle();
266 std::vector<const xAOD::IParticle *> parts;
267
268 if(!fillParticles(dec_trk_dr_lepton, dec_trk_dr_leptontrack, dec_trk_electron_track, dec_trk_muon_track,
269 parts, muon, muonTrack, tracks, ctx)) {
270 ATH_MSG_ERROR("DecoratePLIT::execute - failed to fill particles");
271 return StatusCode::FAILURE;
272 }
273
274 // extract track features from track particles
275 std::vector<float> track_feat;
276 track_feat.reserve(parts.size() * static_cast<int64_t>(muon_feat.size()));
277
278 // loop over parts and fill track_feat vector
279 for (const xAOD::IParticle *part: parts) {
280 const xAOD::TrackParticle *track = dynamic_cast<const xAOD::TrackParticle*>(part);
281
282 // deta_lepton
283 float deta_lepton = track->p4().Eta() - muon.eta();
284 // dphi_lepton
285 float dphi_lepton = track->p4().DeltaPhi(muon.p4());
286 // qOverP
287 float qoverp = track->qOverP();
288 // btagIp_d0
289 float d0 = acc_d0(*track);
290 // btagIp_z0SinTheta
291 float z0SinTheta = acc_z0SinTheta(*track);
292 // btagIp_d0Uncertainty
293 float d0Uncertainty = acc_d0Uncertainty(*track);
294 // btagIp_z0SinThetaUncertainty
295 float z0SinThetaUncertainty = acc_z0SinThetaUncertainty(*track);
296 // btagIp_d0_significance
297 float d0_significance = -99;
298 if (abs(d0Uncertainty) > 0) d0_significance = d0 / d0Uncertainty;
299 // btagIp_z0SinTheta_significance
300 float z0SinTheta_significance = -99;
301 if (std::abs(z0SinThetaUncertainty) > 0) z0SinTheta_significance = z0SinTheta / z0SinThetaUncertainty;
302 // numberOfPixelHits
303 uint8_t pix_hits = 0;
304 if(!track->summaryValue(pix_hits,xAOD::numberOfPixelHits)){
305 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfPixelHits");
306 return StatusCode::FAILURE;
307 }
308 // numberOfInnermostPixelLayerHits
309 uint8_t pix_innermosthits = 0;
310 if(!track->summaryValue(pix_innermosthits,xAOD::numberOfInnermostPixelLayerHits)){
311 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfInnermostPixelLayerHits");
312 return StatusCode::FAILURE;
313 }
314 // numberOfNextToInnermostPixelLayerHits
315 uint8_t pix_nextinnermosthits = 0;
316 if(!track->summaryValue(pix_nextinnermosthits,xAOD::numberOfNextToInnermostPixelLayerHits)){
317 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfNextToInnermostPixelLayerHits");
318 return StatusCode::FAILURE;
319 }
320 // numberOfInnermostPixelLayerSharedHits
321 uint8_t pix_innermostsharedhits = 0;
322 if(!track->summaryValue(pix_innermostsharedhits,xAOD::numberOfInnermostPixelLayerSharedHits)){
323 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfInnermostPixelLayerSharedHits");
324 return StatusCode::FAILURE;
325 }
326 // numberOfInnermostPixelLayerSplitHits
327 uint8_t pix_innermostsplithits = 0;
328 if(!track->summaryValue(pix_innermostsplithits,xAOD::numberOfInnermostPixelLayerSplitHits)){
329 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfInnermostPixelLayerSplitHits");
330 return StatusCode::FAILURE;
331 }
332 // numberOfPixelSharedHits
333 uint8_t pix_shared = 0;
334 if(!track->summaryValue(pix_shared,xAOD::numberOfPixelSharedHits)){
335 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfPixelSharedHits");
336 return StatusCode::FAILURE;
337 }
338 // numberOfPixelSplitHits
339 uint8_t pix_split = 0;
340 if(!track->summaryValue(pix_split,xAOD::numberOfPixelSplitHits)){
341 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfPixelSplitHits");
342 return StatusCode::FAILURE;
343 }
344 // numberOfSCTHits
345 uint8_t sct_hits = 0;
346 if(!track->summaryValue(sct_hits,xAOD::numberOfSCTHits)){
347 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfSCTHits");
348 return StatusCode::FAILURE;
349 }
350 // numberOfSCTSharedHits
351 uint8_t sct_shared = 0;
352 if(!track->summaryValue(sct_shared,xAOD::numberOfSCTSharedHits)){
353 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfSCTSharedHits");
354 return StatusCode::FAILURE;
355 }
356 // muon_track
357 char muon_track = acc_muon_track(*track);
358
359 track_feat.push_back(deta_lepton);
360 track_feat.push_back(dphi_lepton);
361 track_feat.push_back(qoverp);
362 track_feat.push_back(d0);
363 track_feat.push_back(z0SinTheta);
364 //track_feat.push_back(d0Uncertainty); // removed in the latest trainings, redundant
365 //track_feat.push_back(z0SinThetaUncertainty); // removed in the latest trainings, redundant
366 track_feat.push_back(d0_significance);
367 track_feat.push_back(z0SinTheta_significance);
368 track_feat.push_back(pix_hits);
369 track_feat.push_back(pix_innermosthits);
370 track_feat.push_back(pix_nextinnermosthits);
371 track_feat.push_back(pix_innermostsharedhits);
372 track_feat.push_back(pix_innermostsplithits);
373 track_feat.push_back(pix_shared);
374 track_feat.push_back(pix_split);
375 track_feat.push_back(sct_hits);
376 track_feat.push_back(sct_shared);
377 track_feat.push_back(muon_track);
378 }
379
380 // prepare track features for inference
381 int num_cnsts = parts.size();
382 std::vector<int64_t> track_feat_dim = {num_cnsts, m_num_track_features};
383
384 FlavorTagInference::Inputs track_info(track_feat, track_feat_dim);
385 gnn_input.insert({"track_features", track_info});
386
387 if (msgLvl(MSG::VERBOSE)) {
388 ATH_MSG_VERBOSE("gnn_input size = " << gnn_input.size());
389 for (auto& inp : gnn_input){
390 ATH_MSG_VERBOSE(" " + inp.first + " dim = ");
391 for (auto & dim: inp.second.second) {
392 ATH_MSG_VERBOSE(" " + std::to_string(dim));
393 }
394 ATH_MSG_VERBOSE(" " + inp.first + " content = ");
395 for (auto & con: inp.second.first) {
396 ATH_MSG_VERBOSE(" " + std::to_string(con));
397 }
398 }
399 }
400
401 // run inference
402 // -------------
403 auto [out_f, out_vc, out_vf] = m_saltModel->runInference(gnn_input);
404 if (msgLvl(MSG::VERBOSE)) {
405 ATH_MSG_VERBOSE("runInference done.");
406
407 ATH_MSG_VERBOSE("Output Float(s):");
408 for (auto& singlefloat : out_f){
409 ATH_MSG_VERBOSE(singlefloat.first + " = " << singlefloat.second);
410 }
411 ATH_MSG_VERBOSE("Output vector char(s):");
412 for (auto& vecchar : out_vc){
413 ATH_MSG_VERBOSE(vecchar.first + " = ");
414 for (auto& cc : vecchar.second){
415 ATH_MSG_VERBOSE(cc);
416 }
417 }
418 ATH_MSG_VERBOSE("Output vector float(s):");
419 for (auto& vecfloat : out_vf){
420 ATH_MSG_VERBOSE(vecfloat.first + " = ");
421 for (auto& ff : vecfloat.second){
422 ATH_MSG_VERBOSE(ff);
423 }
424 }
425 }
426 // filling the tagger scores
427 auto it_dec_mu_plit_output = dec_mu_plit_output.begin();
428 for (auto& singlefloat : out_f){
429 ATH_MSG_DEBUG("DecoratePLIT::execute - Muon output: " + singlefloat.first + " = " + std::to_string(singlefloat.second));
430 (*it_dec_mu_plit_output)(muon) = singlefloat.second;
431 ++it_dec_mu_plit_output;
432 }
433
434 return StatusCode::SUCCESS;
435 }
436
442 const xAOD::Electron &electron,
443 const xAOD::TrackParticleContainer &tracks,
444 const xAOD::CaloClusterContainer &caloclusters,
445 std::vector<SG::WriteDecorHandle<xAOD::ElectronContainer, float>> &dec_el_plit_output,
446 const EventContext& ctx) const {
447 // prepare input
448 // -------------
449 std::map<std::string, FlavorTagInference::Inputs> gnn_input;
450
451 // accessors
452 // ---------
455
463
464 // collect electron features
465 float elec_pt = electron.pt();
466 float elec_eta = electron.eta();
467 float elec_phi = electron.phi();
468 float elec_ptvarcone30Rel = acc_ptvarcone30(electron) / elec_pt;
469 float elec_topoetcone30Rel = acc_topoetcone30(electron) / elec_pt;
470
471 // compute electron calorimeter cluster information
472 float elec_caloClusterSumEtRel = 0.0;
473 float sumCoreEt_large = 0.0;
474 if (electron.caloCluster()) {
475 float elec_calEta = electron.caloCluster()->eta();
476 float elec_calPhi = electron.caloCluster()->phi();
477
478 for (const xAOD::CaloCluster *cluster: caloclusters) {
479 float deta = elec_calEta - cluster->eta();
480 float dphi = TVector2::Phi_mpi_pi(elec_calPhi - cluster->phi());
481 float dr = std::sqrt(deta*deta + dphi*dphi);
482
483 if (dr < m_lepCalErelConeSize) {
484 sumCoreEt_large += cluster->pt();
485 }
486 }
487 }
488 elec_caloClusterSumEtRel = sumCoreEt_large / elec_pt;
489
490 // collect best matched GSF electron track kinematics
491 const xAOD::TrackParticle *electronTrack = nullptr;
492 const xAOD::TrackParticle *bestmatchedGSFElTrack = electron.trackParticle(0);
493 if (bestmatchedGSFElTrack) {
494 electronTrack = xAOD::EgammaHelpers::getOriginalTrackParticleFromGSF(bestmatchedGSFElTrack);
495 }
496
497 //float elec_pt_track = -99;
498 //float elec_eta_track = -99;
499 //float elec_phi_track = -99;
500 //if (electronTrack) {
501 // elec_pt_track = electronTrack->pt();
502 // elec_eta_track = electronTrack->eta();
503 // elec_phi_track = electronTrack->phi();
504 //}
505
506 std::vector<float> electron_feat = {
507 elec_pt,
508 elec_eta,
509 elec_phi,
510 elec_ptvarcone30Rel,
511 elec_topoetcone30Rel,
512 elec_caloClusterSumEtRel};
513 std::vector<int64_t> electron_feat_dim = {1, static_cast<int64_t>(electron_feat.size())};
514
515 // need to use the "jet_features" keyword as we are borrowing flavour tagging code
516 FlavorTagInference::Inputs electron_info (electron_feat, electron_feat_dim);
517 gnn_input.insert({"jet_features", electron_info});
518
519 // decorate and fill track particles around the electron
520 std::vector<const xAOD::IParticle *> parts;
521 if (!fillParticles(dec_trk_dr_lepton, dec_trk_dr_leptontrack, dec_trk_electron_track, dec_trk_muon_track,
522 parts, electron, electronTrack, tracks, ctx)) {
523 ATH_MSG_ERROR("DecoratePLIT::execute - failed to fill particles");
524 return StatusCode::FAILURE;
525 }
526
527 // collect track features from track particles
528 std::vector<float> track_feat;
529 track_feat.reserve(parts.size() * static_cast<int64_t>(electron_feat.size()));
530
531 for (const xAOD::IParticle *part: parts) {
532 const xAOD::TrackParticle *track = dynamic_cast<const xAOD::TrackParticle*>(part);
533 if (!track) {
534 ATH_MSG_ERROR("DecoratePLIT::execute - null track pointer");
535 continue;
536 }
537
538 // dr_lepton
539 // float dr_lepton = acc_dr_lepton(*track);
540 // deta_lepton
541 float deta_lepton = track->p4().Eta() - electron.eta();
542 // dphi_lepton
543 float dphi_lepton = track->p4().DeltaPhi(electron.p4());
544 // qOverP
545 float qoverp = track->qOverP();
546 // btagIp_d0
547 float d0 = acc_d0(*track);
548 // btagIp_z0SinTheta
549 float z0SinTheta = acc_z0SinTheta(*track);
550 // btagIp_d0_significance
551 float d0Uncertainty = acc_d0Uncertainty(*track);
552 float d0_significance = -99;
553 if (std::abs(d0Uncertainty) > 0) d0_significance = d0 / d0Uncertainty;
554 // btagIp_z0SinTheta_significance
555 float z0SinThetaUncertainty = acc_z0SinThetaUncertainty(*track);
556 float z0SinTheta_significance = -99;
557 if (std::abs(z0SinThetaUncertainty) > 0) z0SinTheta_significance = z0SinTheta / z0SinThetaUncertainty;
558 // numberOfInnermostPixelLayerHits
559 uint8_t pix_innermosthits = 0;
560 if(!track->summaryValue(pix_innermosthits,xAOD::numberOfInnermostPixelLayerHits)){
561 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfInnermostPixelLayerHits");
562 return StatusCode::FAILURE;
563 }
564 // numberOfNextToInnermostPixelLayerHits
565 uint8_t pix_nextinnermosthits = 0;
566 if(!track->summaryValue(pix_nextinnermosthits,xAOD::numberOfNextToInnermostPixelLayerHits)){
567 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfNextToInnermostPixelLayerHits");
568 return StatusCode::FAILURE;
569 }
570 // numberOfInnermostPixelLayerSharedHits
571 uint8_t pix_innermostsharedhits = 0;
572 if(!track->summaryValue(pix_innermostsharedhits,xAOD::numberOfInnermostPixelLayerSharedHits)){
573 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfInnermostPixelLayerSharedHits");
574 return StatusCode::FAILURE;
575 }
576 // numberOfInnermostPixelLayerSplitHits
577 uint8_t pix_innermostsplithits = 0;
578 if(!track->summaryValue(pix_innermostsplithits,xAOD::numberOfInnermostPixelLayerSplitHits)){
579 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfInnermostPixelLayerSplitHits");
580 return StatusCode::FAILURE;
581 }
582 // numberOfPixelHits
583 uint8_t pix_hits = 0;
584 if(!track->summaryValue(pix_hits,xAOD::numberOfPixelHits)){
585 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfPixelHits");
586 return StatusCode::FAILURE;
587 }
588 // numberOfPixelSharedHits
589 uint8_t pix_shared = 0;
590 if(!track->summaryValue(pix_shared,xAOD::numberOfPixelSharedHits)){
591 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfPixelSharedHits");
592 return StatusCode::FAILURE;
593 }
594 // numberOfPixelSplitHits
595 uint8_t pix_split = 0;
596 if(!track->summaryValue(pix_split,xAOD::numberOfPixelSplitHits)){
597 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfPixelSplitHits");
598 return StatusCode::FAILURE;
599 }
600 // numberOfSCTHits
601 uint8_t sct_hits = 0;
602 if(!track->summaryValue(sct_hits,xAOD::numberOfSCTHits)){
603 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfSCTHits");
604 return StatusCode::FAILURE;
605 }
606 // numberOfSCTSharedHits
607 uint8_t sct_shared = 0;
608 if(!track->summaryValue(sct_shared,xAOD::numberOfSCTSharedHits)){
609 ATH_MSG_ERROR("DecoratePLIT::execute - failed to retrieve xAOD::numberOfSCTSharedHits");
610 return StatusCode::FAILURE;
611 }
612 // electron_track
613 char electron_track = acc_electron_track(*track);
614
615
616 //track_feat.push_back(dr_lepton); // removed in the latest trainings, redundan
617 track_feat.push_back(deta_lepton);
618 track_feat.push_back(dphi_lepton);
619 track_feat.push_back(qoverp);
620 track_feat.push_back(d0);
621 track_feat.push_back(z0SinTheta);
622 track_feat.push_back(d0_significance);
623 track_feat.push_back(z0SinTheta_significance);
624 track_feat.push_back(pix_innermosthits);
625 track_feat.push_back(pix_nextinnermosthits);
626 track_feat.push_back(pix_innermostsharedhits);
627 track_feat.push_back(pix_innermostsplithits);
628 track_feat.push_back(pix_hits);
629 track_feat.push_back(pix_shared);
630 track_feat.push_back(pix_split);
631 track_feat.push_back(sct_hits);
632 track_feat.push_back(sct_shared);
633 track_feat.push_back(electron_track);
634 }
635
636 // prepare track features for inference
637 int num_cnsts = parts.size();
638 std::vector<int64_t> track_feat_dim = {num_cnsts, m_num_track_features};
639
640 FlavorTagInference::Inputs track_info (track_feat, track_feat_dim);
641 gnn_input.insert({"track_features", track_info});
642
643 if (msgLvl(MSG::VERBOSE)) {
644 ATH_MSG_VERBOSE("gnn_input size = " << gnn_input.size());
645 for (auto& inp : gnn_input){
646 ATH_MSG_VERBOSE(" " + inp.first + " dim = ");
647 for (auto & dim: inp.second.second) {
648 ATH_MSG_VERBOSE(" " + std::to_string(dim));
649 }
650 ATH_MSG_VERBOSE(" " + inp.first + " content = ");
651 for (auto & con: inp.second.first) {
652 ATH_MSG_VERBOSE(" " + std::to_string(con));
653 }
654 }
655 }
656
657 // run inference
658 // -------------
659 // use different model for endcap electrons
660 auto [out_f, out_vc, out_vf] = (std::abs(elec_eta) < 1.37) ? m_saltModel->runInference(gnn_input) : m_saltModel_endcap->runInference(gnn_input);
661 if (msgLvl(MSG::VERBOSE)) {
662 ATH_MSG_VERBOSE("runInference done.");
663
664 ATH_MSG_VERBOSE("Output Float(s):");
665 for (auto& singlefloat : out_f){
666 ATH_MSG_VERBOSE(singlefloat.first + " = " << singlefloat.second);
667 }
668 ATH_MSG_VERBOSE("Output vector char(s):");
669 for (auto& vecchar : out_vc){
670 ATH_MSG_VERBOSE(vecchar.first + " = ");
671 for (auto& cc : vecchar.second){
672 ATH_MSG_VERBOSE(cc);
673 }
674 }
675 ATH_MSG_VERBOSE("Output vector float(s):");
676 for (auto& vecfloat : out_vf){
677 ATH_MSG_VERBOSE(vecfloat.first + " = ");
678 for (auto& ff : vecfloat.second){
679 ATH_MSG_VERBOSE(ff);
680 }
681 }
682 }
683 // filling the tagger scores
684 auto it_dec_el_plit_output = dec_el_plit_output.begin();
685 for (auto& singlefloat : out_f){
686 ATH_MSG_DEBUG("DecoratePLIT::execute - Electron output: " + singlefloat.first + " = " + std::to_string(singlefloat.second));
687 (*it_dec_el_plit_output)(electron) = singlefloat.second;
688 ++it_dec_el_plit_output;
689 }
690
691 return StatusCode::SUCCESS;
692 }
693
694 bool DecoratePLIT::passed_r22tracking_cuts(const xAOD::TrackParticle& tp, const EventContext& ctx) const
695 {
696 // r22 default track selection for flavour tagging GN2 algorithm
697 constexpr float pt_minimum = 500; // MeV
698 constexpr float abs_eta_maximum = 2.5;
699 constexpr float d0_maximum = 3.5;
700 constexpr float z0_maximum= 5.0;
701 constexpr unsigned char si_hits_minimum = 8;
702 constexpr unsigned char si_shared_maximum = 1;
703 constexpr unsigned char si_holes_maximum = 2;
704 constexpr unsigned char pix_holes_maximum = 1;
705
706 // accessors
709
710 // get hit pixel info
711 uint8_t pix_shared = 0;
713 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfPixelSharedHits");
714 return false;
715 }
716 uint8_t sct_shared = 0;
717 if(!tp.summaryValue(sct_shared,xAOD::numberOfSCTSharedHits)){
718 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfSCTSharedHits");
719 return false;
720 }
721 uint8_t pix_hits = 0;
722 if(!tp.summaryValue(pix_hits,xAOD::numberOfPixelHits)){
723 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfPixelHits");
724 return false;
725 }
726 uint8_t sct_hits = 0;
727 if(!tp.summaryValue(sct_hits,xAOD::numberOfSCTHits)){
728 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfSCTHits");
729 return false;
730 }
731 uint8_t pix_dead = 0;
733 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfPixelDeadSensors");
734 return false;
735 }
736 uint8_t sct_dead = 0;
738 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfSCTDeadSensors");
739 return false;
740 }
741 uint8_t pix_holes = 0;
742 if(!tp.summaryValue(pix_holes,xAOD::numberOfPixelHoles)){
743 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfPixelHoles");
744 return false;
745 }
746 uint8_t sct_holes = 0;
747 if(!tp.summaryValue(sct_holes,xAOD::numberOfSCTHoles)){
748 ATH_MSG_ERROR("DecoratePLIT::passed_r22tracking_cuts - failed to retrieve xAOD::numberOfSCTHoles");
749 return false;
750 }
751
752 if (std::abs(tp.eta()) > abs_eta_maximum)
753 return false;
754 double n_module_shared = (pix_shared + sct_shared / 2);
755 if (n_module_shared > si_shared_maximum)
756 return false;
757 if (tp.pt() <= pt_minimum)
758 return false;
759 if (std::isfinite(d0_maximum) &&
760 std::abs(acc_d0(tp)) >= d0_maximum)
761 return false;
762 if (std::isfinite(z0_maximum) &&
763 std::abs(acc_z0SinTheta(tp)) >= z0_maximum)
764 return false;
765 if (pix_hits + pix_dead + sct_hits + sct_dead < si_hits_minimum)
766 return false;
767 if ((pix_holes + sct_holes) > si_holes_maximum)
768 return false;
769 if (pix_holes > pix_holes_maximum)
770 return false;
771 return true;
772 }
773
779 std::vector<const xAOD::IParticle *> &parts,
780 const xAOD::IParticle &lepton,
781 const xAOD::TrackParticle *trackLep,
782 const xAOD::TrackParticleContainer &trackContainer,
783 const EventContext& ctx) const
784 {
785 // get lepton four momentum
786 const FourMom_t lepton_p4 = lepton.p4();
787
788 // Precompute tracks used for reconstruction
789 std::set<const xAOD::TrackParticle*> tracksUsedForElectron;
790 std::set<const xAOD::TrackParticle*> tracksUsedForMuon;
791 if (const auto* elec = dynamic_cast<const xAOD::Electron*>(&lepton)) {
792 tracksUsedForElectron = xAOD::EgammaHelpers::getTrackParticles(elec, true); // useBremAssoc = true
793 } else if (const auto* muon = dynamic_cast<const xAOD::Muon*>(&lepton)) {
794 if (muon->muonType() == xAOD::Muon::Combined && muon->inDetTrackParticleLink().isValid()) {
795 tracksUsedForMuon.insert(*(muon->inDetTrackParticleLink())); // even if the primary track should be a combined track, we still use the id for the match
796 }
797 }
798
799 // Loop over tracks and store them
800 for (const xAOD::TrackParticle *track: trackContainer) {
801 if (!track) {
802 ATH_MSG_ERROR("DecoratePLIT::fillParticles - null track pointer");
803 continue;
804 }
805 // check if track passed selection
806 if (!passed_r22tracking_cuts(*track, ctx)) continue;
807
808 // decorate track
809 float dr_lepton = (lepton.p4().Pt() > 0.) ? track->p4().DeltaR(lepton.p4()) : -99;
810
811 // do not even waste time to decorate something which is not used
812 if (dr_lepton > m_maxLepTrackdR && m_maxLepTrackdR>=0) {continue;}
813
814 bool isUsedForElectron = tracksUsedForElectron.count(track);
815 bool isUsedForMuon = tracksUsedForMuon.count(track);
816
817 if (!decorateTrack(dec_trk_dr_lepton, dec_trk_dr_leptontrack, dec_trk_electron_track, dec_trk_muon_track,
818 *track, dr_lepton, isUsedForElectron, isUsedForMuon, trackLep)) {
819 ATH_MSG_ERROR("DecoratePLIT::fillParticles - failed to decorate track");
820 return StatusCode::FAILURE;
821 }
822
823 parts.push_back(track);
824 }
825
826 // Sort tracks by dR distance to lepton
827 auto SORT_TRACKLEP = [&lepton_p4](const xAOD::IParticle* a, const xAOD::IParticle* b) {
828 return a->p4().DeltaR(lepton_p4) < b->p4().DeltaR(lepton_p4);
829 };
830 std::sort(parts.begin(), parts.end(), SORT_TRACKLEP);
831
832 return StatusCode::SUCCESS;
833 }
834
840 const xAOD::TrackParticle& track,
841 float dr_lepton,
842 bool isUsedForElectron,
843 bool isUsedForMuon,
844 const xAOD::TrackParticle* trackLep) const
845 {
846 // Apply values to decorators
847 dec_trk_dr_lepton(track) = dr_lepton;
848 dec_trk_electron_track(track) = static_cast<char>(isUsedForElectron);
849 dec_trk_muon_track(track) = static_cast<char>(isUsedForMuon);
850
851 float dr_leptontrack = -99;
852 if (trackLep) {
853 if (trackLep->pt() > 0.) {
854 dr_leptontrack = track.p4().DeltaR(trackLep->p4());
855 }
856 }
857 dec_trk_dr_leptontrack(track) = dr_leptontrack;
858
859 return StatusCode::SUCCESS;
860 }
861}
#define ATH_CHECK
Evaluate an expression and check for errors.
#define ATH_MSG_ERROR(x)
#define ATH_MSG_INFO(x)
#define ATH_MSG_VERBOSE(x)
#define ATH_MSG_WARNING(x)
#define ATH_MSG_DEBUG(x)
Handle class for reading a decoration on an object.
DataVector adapter that acts like it holds const pointers.
static Double_t a
std::string PathResolverFindCalibFile(const std::string &logical_file_name)
std::enable_if_t< std::is_void_v< std::result_of_t< decltype(&T::renounce)(T)> > &&!std::is_base_of_v< SG::VarHandleKeyArray, T > &&std::is_base_of_v< Gaudi::DataHandle, T >, void > renounce(T &h)
bool msgLvl(const MSG::Level lvl) const
An algorithm that can be simultaneously executed in multiple threads.
SG::ReadHandleKey< xAOD::JetContainer > m_trackjetsKey
SG::WriteDecorHandleKey< xAOD::TrackParticleContainer > m_dec_trk_dr_leptontrack
StatusCode initializeAccessors()
SG::ReadDecorHandleKey< xAOD::ElectronContainer > m_acc_el_ptvarcone30
Gaudi::Property< std::string > m_leptonsName
StatusCode decorateTrack(SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_lepton, SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_leptontrack, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_electron_track, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_muon_track, const xAOD::TrackParticle &track, float dr_lepton, bool isUsedForElectron, bool isUsedForMuon, const xAOD::TrackParticle *trackLep) const
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_d0
SG::ReadHandleKey< xAOD::CaloClusterContainer > m_caloclustersKey
std::shared_ptr< const FlavorTagInference::SaltModel > m_saltModel_endcap
SG::WriteDecorHandleKeyArray< xAOD::ElectronContainer > m_dec_el_plit_output
Gaudi::Property< float > m_lepCalErelConeSize
SG::ReadHandleKey< xAOD::TrackParticleContainer > m_tracksKey
bool passed_r22tracking_cuts(const xAOD::TrackParticle &tp, const EventContext &ctx) const
SG::ReadDecorHandleKey< xAOD::MuonContainer > m_acc_mu_topoetcone30
SG::ReadDecorHandleKey< xAOD::MuonContainer > m_acc_mu_ptvarcone30TTVA
SG::ReadDecorHandleKey< xAOD::ElectronContainer > m_acc_el_topoetcone30
SG::WriteDecorHandleKey< xAOD::TrackParticleContainer > m_dec_trk_muon_track
Gaudi::Property< std::string > m_configPath
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_z0SinThetaUncertainty
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_d0Uncertainty
std::shared_ptr< const FlavorTagInference::SaltModel > m_saltModel
Gaudi::Property< float > m_maxLepTrackdR
StatusCode predictElec(SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_lepton, SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_leptontrack, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_electron_track, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_muon_track, const xAOD::Electron &electron, const xAOD::TrackParticleContainer &tracks, const xAOD::CaloClusterContainer &caloclusters, std::vector< SG::WriteDecorHandle< xAOD::ElectronContainer, float > > &dec_el_plit_output, const EventContext &ctx) const
SG::WriteDecorHandleKey< xAOD::TrackParticleContainer > m_dec_trk_dr_lepton
SG::WriteDecorHandleKeyArray< xAOD::MuonContainer > m_dec_mu_plit_output
DecoratePLIT(const std::string &name, ISvcLocator *pSvcLocator)
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_z0SinTheta
StatusCode fillParticles(SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_lepton, SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_leptontrack, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_electron_track, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_muon_track, std::vector< const xAOD::IParticle * > &parts, const xAOD::IParticle &lepton, const xAOD::TrackParticle *trackLep, const xAOD::TrackParticleContainer &trackContainer, const EventContext &ctx) const
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_dr_lepton
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_electron_track
SG::WriteDecorHandleKey< xAOD::TrackParticleContainer > m_dec_trk_electron_track
SG::ReadHandleKey< xAOD::ElectronContainer > m_electronsKey
StatusCode predictMuon(SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_lepton, SG::WriteDecorHandle< xAOD::TrackParticleContainer, float > &dec_trk_dr_leptontrack, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_electron_track, SG::WriteDecorHandle< xAOD::TrackParticleContainer, char > &dec_trk_muon_track, const xAOD::Muon &muon, const xAOD::TrackParticleContainer &tracks, std::vector< SG::WriteDecorHandle< xAOD::MuonContainer, float > > &dec_mu_plit_output, const EventContext &ctx) const
Gaudi::Property< std::string > m_TaggerName
Gaudi::Property< std::string > m_configFileVersion_endcap
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_dr_leptontrack
SG::ReadDecorHandleKey< xAOD::TrackParticleContainer > m_acc_trk_muon_track
virtual StatusCode execute(const EventContext &) const override
virtual StatusCode initialize() override
SG::ReadHandleKey< xAOD::MuonContainer > m_muonsKey
Gaudi::Property< std::string > m_configFileVersion
Handle class for reading a decoration on an object.
Handle class for adding a decoration to an object.
flt_t calE() const
Geet Energy in signal state CALIBRATED.
Class providing the definition of the 4-vector interface.
virtual FourMom_t p4() const =0
The full 4-momentum of the particle.
virtual FourMom_t p4() const override final
The full 4-momentum of the particle.
bool summaryValue(uint8_t &value, const SummaryType &information) const
Accessor for TrackSummary values.
virtual double pt() const override final
The transverse momentum ( ) of the particle.
virtual double eta() const override final
The pseudorapidity ( ) of the particle.
std::pair< std::vector< float >, std::vector< int64_t > > Inputs
TLorentzVector FourMom_t
void sort(typename DataModel_detail::iterator< DVL > beg, typename DataModel_detail::iterator< DVL > end)
Specialization of sort for DataVector/List.
std::set< const xAOD::TrackParticle * > getTrackParticles(const xAOD::Egamma *eg, bool useBremAssoc=true, bool allParticles=true)
Return a list of all or only the best TrackParticle associated to the object.
const xAOD::TrackParticle * getOriginalTrackParticleFromGSF(const xAOD::TrackParticle *trkPar)
Helper function for getting the "Original" Track Particle (i.e before GSF) via the GSF Track Particle...
CaloCluster_v1 CaloCluster
Define the latest version of the calorimeter cluster class.
TrackParticle_v1 TrackParticle
Reference the current persistent version:
TrackParticleContainer_v1 TrackParticleContainer
Definition of the current "TrackParticle container version".
Muon_v1 Muon
Reference the current persistent version:
CaloClusterContainer_v1 CaloClusterContainer
Define the latest version of the calorimeter cluster container.
@ numberOfPixelHoles
number of pixel layers on track with absence of hits [unit8_t].
@ numberOfPixelSplitHits
number of Pixel all-layer hits split by cluster splitting [unit8_t].
@ numberOfInnermostPixelLayerSharedHits
number of Pixel 0th layer barrel hits shared by several tracks.
@ numberOfNextToInnermostPixelLayerHits
these are the hits in the 1st pixel barrel layer
@ numberOfSCTDeadSensors
number of dead SCT sensors crossed [unit8_t].
@ numberOfInnermostPixelLayerSplitHits
number of Pixel 0th layer barrel hits split by cluster splitting
@ numberOfSCTHits
number of hits in SCT [unit8_t].
@ numberOfInnermostPixelLayerHits
these are the hits in the 0th pixel barrel layer
@ numberOfPixelHits
these are the pixel hits, including the b-layer [unit8_t].
@ numberOfPixelSharedHits
number of Pixel all-layer hits shared by several tracks [unit8_t].
@ numberOfSCTSharedHits
number of SCT hits shared by several tracks [unit8_t].
@ numberOfPixelDeadSensors
number of dead pixel sensors crossed [unit8_t].
@ numberOfSCTHoles
number of SCT holes [unit8_t].
Electron_v1 Electron
Definition of the current "egamma version".