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EGRegressionModifierV2.cc
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13 
14 #include <vdt/vdtMath.h>
15 
17 public:
19 
20  void setEvent(const edm::Event&) final;
21  void setEventContent(const edm::EventSetup&) final;
22 
23  void modifyObject(reco::GsfElectron&) const final;
24  void modifyObject(reco::Photon&) const final;
25 
26  // just calls reco versions
27  void modifyObject(pat::Electron& ele) const final { modifyObject(static_cast<reco::GsfElectron&>(ele)); }
28  void modifyObject(pat::Photon& pho) const final { modifyObject(static_cast<reco::Photon&>(pho)); }
29 
30 private:
31  struct CondNames {
32  std::vector<std::string> mean;
33  std::vector<std::string> sigma;
34  };
35 
38 
39  float rhoValue_;
42 
43  std::vector<const GBRForestD*> phoForestsMean_;
44  std::vector<const GBRForestD*> phoForestsSigma_;
45  std::vector<const GBRForestD*> eleForestsMean_;
46  std::vector<const GBRForestD*> eleForestsSigma_;
47 
48  const double lowEnergyEcalOnlyThr_; // 300
49  const double lowEnergyEcalTrackThr_; // 50
50  const double highEnergyEcalTrackThr_; // 200
51  const double eOverPEcalTrkThr_; // 0.025
52  const double epDiffSigEcalTrackThr_; // 15
53  const double epSigEcalTrackThr_; // 10
55 };
56 
58 
60  : ModifyObjectValueBase(conf),
61  rhoToken_(cc.consumes<double>(conf.getParameter<edm::InputTag>("rhoCollection"))),
62  lowEnergyEcalOnlyThr_(conf.getParameter<double>("lowEnergy_ECALonlyThr")),
63  lowEnergyEcalTrackThr_(conf.getParameter<double>("lowEnergy_ECALTRKThr")),
64  highEnergyEcalTrackThr_(conf.getParameter<double>("highEnergy_ECALTRKThr")),
65  eOverPEcalTrkThr_(conf.getParameter<double>("eOverP_ECALTRKThr")),
66  epDiffSigEcalTrackThr_(conf.getParameter<double>("epDiffSig_ECALTRKThr")),
67  epSigEcalTrackThr_(conf.getParameter<double>("epSig_ECALTRKThr")),
68  forceHighEnergyEcalTrainingIfSaturated_(conf.getParameter<bool>("forceHighEnergyEcalTrainingIfSaturated")) {
69  const edm::ParameterSet& electrons = conf.getParameter<edm::ParameterSet>("electron_config");
71  .mean = electrons.getParameter<std::vector<std::string> >("regressionKey"),
72  .sigma = electrons.getParameter<std::vector<std::string> >("uncertaintyKey"),
73  };
74 
75  unsigned int encor = eleCondNames_.mean.size();
76  eleForestsMean_.reserve(2 * encor);
77  eleForestsSigma_.reserve(2 * encor);
78 
79  const edm::ParameterSet& photons = conf.getParameter<edm::ParameterSet>("photon_config");
81  .mean = photons.getParameter<std::vector<std::string> >("regressionKey"),
82  .sigma = photons.getParameter<std::vector<std::string> >("uncertaintyKey"),
83  };
84 
85  unsigned int ncor = phoCondNames_.mean.size();
86  phoForestsMean_.reserve(ncor);
87  phoForestsSigma_.reserve(ncor);
88 }
89 
92  evt.getByToken(rhoToken_, rhoH);
93  rhoValue_ = *rhoH;
94 }
95 
99 
102 
104 }
105 
107  // regression calculation needs no additional valuemaps
108 
109  const reco::SuperClusterRef& superClus = ele.superCluster();
110  const edm::Ptr<reco::CaloCluster>& seed = superClus->seed();
111 
112  // skip HGCAL for now
113  if (EcalTools::isHGCalDet(seed->seed().det()))
114  return;
115 
116  const int numberOfClusters = superClus->clusters().size();
117  const bool missing_clusters = !superClus->clusters()[numberOfClusters - 1].isAvailable();
118  if (missing_clusters)
119  return; // do not apply corrections in case of missing info (slimmed MiniAOD electrons)
120 
121  //check if fbrem is filled as its needed for E/p combination so abort if its set to the default value
122  //this will be the case for <5 (or current cuts) for miniAOD electrons
124  return;
125 
126  const bool isEB = ele.isEB();
127 
128  std::array<float, 32> eval;
129  const double rawEnergy = superClus->rawEnergy();
130  const double raw_es_energy = superClus->preshowerEnergy();
131  const auto& full5x5_ess = ele.full5x5_showerShape();
132 
133  float e5x5Inverse = full5x5_ess.e5x5 != 0. ? vdt::fast_inv(full5x5_ess.e5x5) : 0.;
134 
135  eval[0] = rawEnergy;
136  eval[1] = superClus->etaWidth();
137  eval[2] = superClus->phiWidth();
138  eval[3] = superClus->seed()->energy() / rawEnergy;
139  eval[4] = full5x5_ess.e5x5 / rawEnergy;
140  eval[5] = ele.hcalOverEcalBc();
141  eval[6] = rhoValue_;
142  eval[7] = seed->eta() - superClus->position().Eta();
143  eval[8] = reco::deltaPhi(seed->phi(), superClus->position().Phi());
144  eval[9] = full5x5_ess.r9;
145  eval[10] = full5x5_ess.sigmaIetaIeta;
146  eval[11] = full5x5_ess.sigmaIetaIphi;
147  eval[12] = full5x5_ess.sigmaIphiIphi;
148  eval[13] = full5x5_ess.eMax * e5x5Inverse;
149  eval[14] = full5x5_ess.e2nd * e5x5Inverse;
150  eval[15] = full5x5_ess.eTop * e5x5Inverse;
151  eval[16] = full5x5_ess.eBottom * e5x5Inverse;
152  eval[17] = full5x5_ess.eLeft * e5x5Inverse;
153  eval[18] = full5x5_ess.eRight * e5x5Inverse;
154  eval[19] = full5x5_ess.e2x5Max * e5x5Inverse;
155  eval[20] = full5x5_ess.e2x5Left * e5x5Inverse;
156  eval[21] = full5x5_ess.e2x5Right * e5x5Inverse;
157  eval[22] = full5x5_ess.e2x5Top * e5x5Inverse;
158  eval[23] = full5x5_ess.e2x5Bottom * e5x5Inverse;
159  eval[24] = ele.nSaturatedXtals();
160  eval[25] = std::max(0, numberOfClusters);
161 
162  // calculate coordinate variables
163  if (isEB) {
164  float dummy;
165  int ieta;
166  int iphi;
168  eval[26] = ieta;
169  eval[27] = iphi;
170  int signieta = ieta > 0 ? +1 : -1;
171  eval[28] = (ieta - signieta) % 5;
172  eval[29] = (iphi - 1) % 2;
173  eval[30] = (abs(ieta) <= 25) * ((ieta - signieta)) + (abs(ieta) > 25) * ((ieta - 26 * signieta) % 20);
174  eval[31] = (iphi - 1) % 20;
175 
176  } else {
177  float dummy;
178  int ix;
179  int iy;
181  eval[26] = ix;
182  eval[27] = iy;
183  eval[28] = raw_es_energy / rawEnergy;
184  }
185 
186  //magic numbers for MINUIT-like transformation of BDT output onto limited range
187  //(These should be stored inside the conditions object in the future as well)
188  constexpr double meanlimlow = -1.0;
189  constexpr double meanlimhigh = 3.0;
190  constexpr double meanoffset = meanlimlow + 0.5 * (meanlimhigh - meanlimlow);
191  constexpr double meanscale = 0.5 * (meanlimhigh - meanlimlow);
192 
193  constexpr double sigmalimlow = 0.0002;
194  constexpr double sigmalimhigh = 0.5;
195  constexpr double sigmaoffset = sigmalimlow + 0.5 * (sigmalimhigh - sigmalimlow);
196  constexpr double sigmascale = 0.5 * (sigmalimhigh - sigmalimlow);
197 
198  size_t coridx = 0;
199  float rawPt = rawEnergy * superClus->position().rho() / superClus->position().r();
200  bool isSaturated = ele.nSaturatedXtals() != 0;
201 
203  if (isEB)
204  coridx = 1;
205  else
206  coridx = 3;
207  } else {
208  if (isEB)
209  coridx = 0;
210  else
211  coridx = 2;
212  }
213 
214  //these are the actual BDT responses
215  double rawmean = eleForestsMean_[coridx]->GetResponse(eval.data());
216  double rawsigma = eleForestsSigma_[coridx]->GetResponse(eval.data());
217 
218  //apply transformation to limited output range (matching the training)
219  double mean = meanoffset + meanscale * vdt::fast_sin(rawmean);
220  double sigma = sigmaoffset + sigmascale * vdt::fast_sin(rawsigma);
221 
222  // Correct the energy. A negative energy means that the correction went
223  // outside the boundaries of the training. In this case uses raw.
224  // The resolution estimation, on the other hand should be ok.
225  if (mean < 0.)
226  mean = 1.0;
227 
228  const double ecor = mean * (rawEnergy + raw_es_energy);
229  const double sigmacor = sigma * ecor;
230 
231  ele.setCorrectedEcalEnergy(ecor);
232  ele.setCorrectedEcalEnergyError(sigmacor);
233 
234  double combinedEnergy = ecor;
235  double combinedEnergyError = sigmacor;
236 
237  auto el_track = ele.gsfTrack();
238  const float trkMomentum = el_track->pMode();
239  const float trkEta = el_track->etaMode();
240  const float trkPhi = el_track->phiMode();
241  const float trkMomentumError = std::abs(el_track->qoverpModeError()) * trkMomentum * trkMomentum;
242 
243  const float eOverP = (rawEnergy + raw_es_energy) * mean / trkMomentum;
244  const float fbrem = ele.fbrem();
245 
246  // E-p combination
247  if (ecor < highEnergyEcalTrackThr_ && eOverP > eOverPEcalTrkThr_ &&
248  std::abs(ecor - trkMomentum) <
249  epDiffSigEcalTrackThr_ * std::sqrt(trkMomentumError * trkMomentumError + sigmacor * sigmacor) &&
250  trkMomentumError < epSigEcalTrackThr_ * trkMomentum) {
251  rawPt = ecor / cosh(trkEta);
252  if (isEB && rawPt < lowEnergyEcalTrackThr_)
253  coridx = 4;
254  else if (isEB && rawPt >= lowEnergyEcalTrackThr_)
255  coridx = 5;
256  else if (!isEB && rawPt < lowEnergyEcalTrackThr_)
257  coridx = 6;
258  else if (!isEB && rawPt >= lowEnergyEcalTrackThr_)
259  coridx = 7;
260 
261  eval[0] = ecor;
262  eval[1] = sigma / mean;
263  eval[2] = trkMomentumError / trkMomentum;
264  eval[3] = eOverP;
265  eval[4] = ele.ecalDrivenSeed();
266  eval[5] = full5x5_ess.r9;
267  eval[6] = fbrem;
268  eval[7] = trkEta;
269  eval[8] = trkPhi;
270 
271  float ecalEnergyVar = (rawEnergy + raw_es_energy) * sigma;
272  float rawcombNormalization = (trkMomentumError * trkMomentumError + ecalEnergyVar * ecalEnergyVar);
273  float rawcomb = (ecor * trkMomentumError * trkMomentumError + trkMomentum * ecalEnergyVar * ecalEnergyVar) /
274  rawcombNormalization;
275 
276  //these are the actual BDT responses
277  double rawmean_trk = eleForestsMean_[coridx]->GetResponse(eval.data());
278  double rawsigma_trk = eleForestsSigma_[coridx]->GetResponse(eval.data());
279 
280  //apply transformation to limited output range (matching the training)
281  double mean_trk = meanoffset + meanscale * vdt::fast_sin(rawmean_trk);
282  double sigma_trk = sigmaoffset + sigmascale * vdt::fast_sin(rawsigma_trk);
283 
284  // Final correction
285  // A negative energy means that the correction went
286  // outside the boundaries of the training. In this case uses raw.
287  // The resolution estimation, on the other hand should be ok.
288  if (mean_trk < 0.)
289  mean_trk = 1.0;
290 
291  combinedEnergy = mean_trk * rawcomb;
292  combinedEnergyError = sigma_trk * rawcomb;
293  }
294 
295  math::XYZTLorentzVector oldFourMomentum = ele.p4();
296  math::XYZTLorentzVector newFourMomentum(oldFourMomentum.x() * combinedEnergy / oldFourMomentum.t(),
297  oldFourMomentum.y() * combinedEnergy / oldFourMomentum.t(),
298  oldFourMomentum.z() * combinedEnergy / oldFourMomentum.t(),
299  combinedEnergy);
300 
301  ele.correctMomentum(newFourMomentum, ele.trackMomentumError(), combinedEnergyError);
302 }
303 
305  // regression calculation needs no additional valuemaps
306 
307  const reco::SuperClusterRef& superClus = pho.superCluster();
308  const edm::Ptr<reco::CaloCluster>& seed = superClus->seed();
309 
310  // skip HGCAL for now
311  if (EcalTools::isHGCalDet(seed->seed().det()))
312  return;
313 
314  const int numberOfClusters = superClus->clusters().size();
315  const bool missing_clusters = !superClus->clusters()[numberOfClusters - 1].isAvailable();
316  if (missing_clusters)
317  return; // do not apply corrections in case of missing info (slimmed MiniAOD electrons)
318 
319  const bool isEB = pho.isEB();
320 
321  std::array<float, 32> eval;
322  const double rawEnergy = superClus->rawEnergy();
323  const double raw_es_energy = superClus->preshowerEnergy();
324  const auto& full5x5_pss = pho.full5x5_showerShapeVariables();
325 
326  float e5x5Inverse = full5x5_pss.e5x5 != 0. ? vdt::fast_inv(full5x5_pss.e5x5) : 0.;
327 
328  eval[0] = rawEnergy;
329  eval[1] = superClus->etaWidth();
330  eval[2] = superClus->phiWidth();
331  eval[3] = superClus->seed()->energy() / rawEnergy;
332  eval[4] = full5x5_pss.e5x5 / rawEnergy;
333  eval[5] = pho.hadronicOverEm();
334  eval[6] = rhoValue_;
335  eval[7] = seed->eta() - superClus->position().Eta();
336  eval[8] = reco::deltaPhi(seed->phi(), superClus->position().Phi());
337  eval[9] = pho.full5x5_r9();
338  eval[10] = full5x5_pss.sigmaIetaIeta;
339  eval[11] = full5x5_pss.sigmaIetaIphi;
340  eval[12] = full5x5_pss.sigmaIphiIphi;
341  eval[13] = full5x5_pss.maxEnergyXtal * e5x5Inverse;
342  eval[14] = full5x5_pss.e2nd * e5x5Inverse;
343  eval[15] = full5x5_pss.eTop * e5x5Inverse;
344  eval[16] = full5x5_pss.eBottom * e5x5Inverse;
345  eval[17] = full5x5_pss.eLeft * e5x5Inverse;
346  eval[18] = full5x5_pss.eRight * e5x5Inverse;
347  eval[19] = full5x5_pss.e2x5Max * e5x5Inverse;
348  eval[20] = full5x5_pss.e2x5Left * e5x5Inverse;
349  eval[21] = full5x5_pss.e2x5Right * e5x5Inverse;
350  eval[22] = full5x5_pss.e2x5Top * e5x5Inverse;
351  eval[23] = full5x5_pss.e2x5Bottom * e5x5Inverse;
352  eval[24] = pho.nSaturatedXtals();
353  eval[25] = std::max(0, numberOfClusters);
354 
355  // calculate coordinate variables
356 
357  if (isEB) {
358  float dummy;
359  int ieta;
360  int iphi;
362  eval[26] = ieta;
363  eval[27] = iphi;
364  int signieta = ieta > 0 ? +1 : -1;
365  eval[28] = (ieta - signieta) % 5;
366  eval[29] = (iphi - 1) % 2;
367  eval[30] = (abs(ieta) <= 25) * ((ieta - signieta)) + (abs(ieta) > 25) * ((ieta - 26 * signieta) % 20);
368  eval[31] = (iphi - 1) % 20;
369 
370  } else {
371  float dummy;
372  int ix;
373  int iy;
375  eval[26] = ix;
376  eval[27] = iy;
377  eval[28] = raw_es_energy / rawEnergy;
378  }
379 
380  //magic numbers for MINUIT-like transformation of BDT output onto limited range
381  //(These should be stored inside the conditions object in the future as well)
382  constexpr double meanlimlow = -1.0;
383  constexpr double meanlimhigh = 3.0;
384  constexpr double meanoffset = meanlimlow + 0.5 * (meanlimhigh - meanlimlow);
385  constexpr double meanscale = 0.5 * (meanlimhigh - meanlimlow);
386 
387  constexpr double sigmalimlow = 0.0002;
388  constexpr double sigmalimhigh = 0.5;
389  constexpr double sigmaoffset = sigmalimlow + 0.5 * (sigmalimhigh - sigmalimlow);
390  constexpr double sigmascale = 0.5 * (sigmalimhigh - sigmalimlow);
391 
392  size_t coridx = 0;
393  float rawPt = rawEnergy * superClus->position().rho() / superClus->position().r();
394  bool isSaturated = pho.nSaturatedXtals();
395 
397  if (isEB)
398  coridx = 1;
399  else
400  coridx = 3;
401  } else {
402  if (isEB)
403  coridx = 0;
404  else
405  coridx = 2;
406  }
407 
408  //these are the actual BDT responses
409  double rawmean = phoForestsMean_[coridx]->GetResponse(eval.data());
410  double rawsigma = phoForestsSigma_[coridx]->GetResponse(eval.data());
411 
412  //apply transformation to limited output range (matching the training)
413  double mean = meanoffset + meanscale * vdt::fast_sin(rawmean);
414  double sigma = sigmaoffset + sigmascale * vdt::fast_sin(rawsigma);
415 
416  // Correct the energy. A negative energy means that the correction went
417  // outside the boundaries of the training. In this case uses raw.
418  // The resolution estimation, on the other hand should be ok.
419  if (mean < 0.)
420  mean = 1.0;
421 
422  const double ecor = mean * (rawEnergy + raw_es_energy);
423  const double sigmacor = sigma * ecor;
424 
425  pho.setCorrectedEnergy(reco::Photon::P4type::regression2, ecor, sigmacor, true);
426 }
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Definition: EGRegressionModifierHelpers.cc:3
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Definition: GsfElectron.h:336
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Definition: EventSetup.h:57
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Definition: GsfElectron.h:718
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Definition: GsfElectron.h:497
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get
#define get
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Definition: GsfElectron.cc:211
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Definition: EGRegressionModifierV2.cc:48
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Definition: Photon.h:21
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Definition: EGRegressionModifierV2.cc:28
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Definition: EGRegressionModifierV2.cc:49
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the total hadronic over electromagnetic fraction
Definition: Photon.h:208
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Definition: pwdgSkimBPark_cfi.py:6
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XYZTLorentzVectorD XYZTLorentzVector
Lorentz vector with cylindrical internal representation using pseudorapidity.
Definition: LorentzVector.h:29
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Definition: EGRegressionModifierV2.cc:37
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Definition: EGRegressionModifierV2.cc:16
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Definition: EGRegressionModifierV2.cc:96
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Definition: GsfElectron.h:163
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Definition: GsfElectron.h:808
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Analysis-level electron class.
Definition: Electron.h:51
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Definition: Abs.h:22
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Definition: DummySelector.h:38
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Definition: GsfElectron.cc:174
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Definition: Photon.h:265
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Definition: Event.h:73
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Definition: ConsumesCollector.h:39
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Definition: EGRegressionModifierV2.cc:50
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