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00015 inline void MyTauJet::init(const TLorentzVector & p,
00016 const double & charge,
00017 const int & rec_flag,
00018 const int & index,
00019 const double & emRadius,
00020 const double & isolationFraction,
00021 const double & centralityFraction,
00022 const double & stripWidth2,
00023 const double & nStripCells,
00024 const double & llh,
00025 const double & lowPtTauEleDiscriminant,
00026 const double & tauENeuralNetwork,
00027 const double & tauJetNeuralnetwork,
00028 const double & etHadCalib,
00029 const double & etEMCalib,
00030 const int & nb_tracks,
00031 const TLorentzVector & track_1,
00032 const TLorentzVector & track_2,
00033 const TLorentzVector & track_3,
00034 const int & track_TRTHits_1,
00035 const int & track_TRTHighThresholdHits_1,
00036 const int & track_TRTHits_2,
00037 const int & track_TRTHighThresholdHits_2,
00038 const int & track_TRTHits_3,
00039 const int & track_TRTHighThresholdHits_3
00040 ) {
00041
00042 m_dataset_info = &MyDatasetInfo::Instance();
00043 m_tlv = p;
00044 m_charge = charge;
00045 m_rec_flag = rec_flag;
00046 m_index = index;
00047 m_emRadius= emRadius;
00048 m_isolationFraction=isolationFraction;
00049 m_centralityFraction=centralityFraction;
00050 m_stripWidth2=stripWidth2;
00051 m_nStripCells=nStripCells;
00052 m_llh = llh;
00053 m_lowPtTauEleDiscriminant = lowPtTauEleDiscriminant ;
00054 m_tauENeuralNetwork = tauENeuralNetwork;
00055 m_tauJetNeuralnetwork = tauJetNeuralnetwork;
00056 m_etHadCalib = etHadCalib;
00057 m_etEMCalib = etEMCalib;
00058 m_nb_tracks = nb_tracks;
00059 m_track_1 = track_1;
00060 m_track_2 = track_2;
00061 m_track_3 = track_3;
00062 m_track_TRTHits_1 = track_TRTHits_1;
00063 m_track_TRTHighThresholdHits_1 = track_TRTHighThresholdHits_1;
00064 m_track_TRTHits_2 = track_TRTHits_2;
00065 m_track_TRTHighThresholdHits_2 = track_TRTHighThresholdHits_2;
00066 m_track_TRTHits_3 = track_TRTHits_3;
00067 m_track_TRTHighThresholdHits_3 = track_TRTHighThresholdHits_3;
00068 m_type = "tau_jet";
00069 m_pdgId = TMath::Sign(1,(int)m_charge)*-15;
00070 m_matchingflag = 0;
00071
00072 return;
00073
00074 }
00075
00076
00077
00078
00079
00080
00081
00082 inline int MyTauJet::reconstruction_flag(void) const {
00083
00084 return m_rec_flag;
00085
00086 }
00087
00088
00089
00090
00091
00092
00093
00094 inline double MyTauJet::llh(void) const {
00095
00096 return m_llh;
00097
00098 }
00099
00100
00101
00102
00103
00104
00105
00106 inline double MyTauJet::lowPtTauEleDiscriminant(void) const {
00107
00108 return m_lowPtTauEleDiscriminant;
00109
00110 }
00111
00112
00113
00114
00115
00116
00117 inline double MyTauJet::tauENeuralNetwork(void) const {
00118
00119 return m_tauENeuralNetwork;
00120
00121 }
00122
00123
00124
00125
00126
00127
00128 inline double MyTauJet::tauJetNeuralnetwork(void) const {
00129
00130 return m_tauJetNeuralnetwork;
00131
00132 }
00133
00134
00135
00136
00137
00138
00139
00140 inline void MyTauJet::set_reconstruction_flag(const int & flag) {
00141
00142 m_rec_flag = flag;
00143 return;
00144
00145 }
00146
00147
00148
00149
00150
00151
00152
00153 inline double MyTauJet::emRadius(void) const{
00154
00155 return m_emRadius;
00156
00157 }
00158
00159
00160
00161
00162
00163
00164 inline double MyTauJet::isolationFraction(void) const{
00165
00166 return m_isolationFraction;
00167
00168 }
00169
00170
00171
00172
00173
00174
00175 inline double MyTauJet::centralityFraction(void) const{
00176
00177 return m_centralityFraction;
00178
00179 }
00180
00181
00182
00183
00184
00185
00186 inline double MyTauJet::stripWidth2(void) const{
00187
00188 return m_stripWidth2;
00189
00190 }
00191
00192
00193
00194
00195
00196
00197 inline double MyTauJet::nStripCells(void) const{
00198
00199 return m_nStripCells;
00200
00201 }
00202
00203
00204
00205
00206
00207
00208 inline double MyTauJet::ethadcalib(void) const{
00209
00210 return m_etHadCalib;
00211
00212 }
00213
00214
00215
00216
00217
00218
00219 inline double MyTauJet::etemcalib(void) const {
00220
00221 return m_etEMCalib;
00222
00223 }
00224
00225
00226
00227
00228
00229
00230 inline int MyTauJet::nb_tracks(void) const {
00231
00232 return m_nb_tracks;
00233
00234 }
00235
00236
00237
00238
00239
00240
00241 inline TLorentzVector MyTauJet::track_1(void) const {
00242
00243 return m_track_1;
00244
00245 }
00246
00247
00248
00249
00250
00251
00252 inline TLorentzVector MyTauJet::track_2(void) const {
00253
00254 return m_track_2;
00255
00256 }
00257
00258
00259
00260
00261
00262
00263 inline TLorentzVector MyTauJet::track_3(void) const {
00264
00265 return m_track_3;
00266
00267 }
00268
00269
00270
00271
00272
00273
00274 inline int MyTauJet::track_TRTHits_1(void) const {
00275
00276 return m_track_TRTHits_1;
00277
00278 }
00279
00280
00281
00282
00283
00284
00285 inline int MyTauJet::track_TRTHighThresholdHits_1(void) const {
00286
00287 return m_track_TRTHighThresholdHits_1;
00288
00289 }
00290
00291
00292
00293
00294
00295
00296 inline int MyTauJet::track_TRTHits_2(void) const {
00297
00298 return m_track_TRTHits_2;
00299
00300 }
00301
00302
00303
00304
00305
00306
00307 inline int MyTauJet::track_TRTHighThresholdHits_2(void) const {
00308
00309 return m_track_TRTHighThresholdHits_2;
00310
00311 }
00312
00313
00314
00315
00316
00317
00318 inline int MyTauJet::track_TRTHits_3(void) const {
00319
00320 return m_track_TRTHits_3;
00321
00322 }
00323
00324
00325
00326
00327
00328
00329 inline int MyTauJet::track_TRTHighThresholdHits_3(void) const {
00330
00331 return m_track_TRTHighThresholdHits_3;
00332
00333 }
00334
00335
00336
00337
00338
00339
00340 inline MyTauJet* MyTauJet::Clone(void) const {
00341
00342 double Px = this->tlv().Px();
00343 double Py = this->tlv().Py();
00344 double Pz = this->tlv().Pz();
00345 double E = this->tlv().E();
00346 double charge = this->charge();
00347 int rec_flag = this->reconstruction_flag();
00348 int index = this->index();
00349 double llh = this->llh();
00350 double emRadius = this->emRadius();
00351 double centralityFraction= this->centralityFraction();
00352 double isolationFraction= this->isolationFraction();
00353 double stripWidth2= this->stripWidth2();
00354 double nStripCells= this->nStripCells();
00355 double lowPtTauEleDiscriminant = this->lowPtTauEleDiscriminant();
00356 double tauENeuralNetwork = this->tauENeuralNetwork();
00357 double tauJetNeuralnetwork = this->tauJetNeuralnetwork();
00358 double etHadCalib = this->ethadcalib();
00359 double etEMCalib = this->etemcalib();
00360 int nb_tracks = this->nb_tracks();
00361 double track_px_1 = this->track_1().Px();
00362 double track_py_1 = this->track_1().Py();
00363 double track_pz_1 = this->track_1().Pz();
00364 double track_e_1 = this->track_1().E();
00365 double track_px_2 = this->track_2().Px();
00366 double track_py_2 = this->track_2().Py();
00367 double track_pz_2 = this->track_2().Pz();
00368 double track_e_2 = this->track_2().E();
00369 double track_px_3 = this->track_2().Px();
00370 double track_py_3 = this->track_3().Py();
00371 double track_pz_3 = this->track_3().Pz();
00372 double track_e_3 = this->track_3().E();
00373 int track_TRTHits_1 = this->track_TRTHits_1();
00374 int track_TRTHighThresholdHits_1 = this->track_TRTHighThresholdHits_1();
00375 int track_TRTHits_2 = this->track_TRTHits_2();
00376 int track_TRTHighThresholdHits_2 = this->track_TRTHighThresholdHits_2();
00377 int track_TRTHits_3 = this->track_TRTHits_3();
00378 int track_TRTHighThresholdHits_3 = this->track_TRTHighThresholdHits_3();
00379
00380
00381
00382 MyTauJet* cloned_taujet
00383 = new MyTauJet(TLorentzVector(Px,Py,Pz,E),charge,
00384 rec_flag, index,
00385 emRadius,
00386 centralityFraction,
00387 isolationFraction,
00388 stripWidth2,
00389 nStripCells,
00390 llh, lowPtTauEleDiscriminant,
00391 tauENeuralNetwork, tauJetNeuralnetwork,
00392 etHadCalib, etEMCalib, nb_tracks,
00393 TLorentzVector(track_px_1,track_py_1,track_pz_1, track_e_1),
00394 TLorentzVector(track_px_2,track_py_2,track_pz_2, track_e_2),
00395 TLorentzVector(track_px_3,track_py_3,track_pz_3, track_e_3),
00396 track_TRTHits_1,
00397 track_TRTHighThresholdHits_1,
00398 track_TRTHits_2,
00399 track_TRTHighThresholdHits_2,
00400 track_TRTHits_3,
00401 track_TRTHighThresholdHits_3
00402 );
00403
00404 return cloned_taujet;
00405
00406 }
00407
00408
00409
00410
00411
00412
00413 inline TLorentzVector MyTauJet::tlv_corr(void) const {
00414
00415 double m_gev;
00416 m_gev = m_dataset_info->get_scale();
00417
00418 double m_ptetacorrectionsntr1[9] = { 0.8339, 0.8125, 0.8254,
00419 0.8747, 0.8583, 0.8594,
00420 0.9088, 0.9013, 0.8922};
00421 double m_ptetacorrectionsntr23[9]= { 0.9000, 0.8593, 0.9034,
00422 0.9208, 0.8791, 0.9132,
00423 0.9359, 0.9231, 0.9033};
00424
00425 const int m_nptbins = 3;
00426 const int m_netabins = 3;
00427
00428 double m_ptpoints[m_nptbins+1] = {15000.*m_gev, 35000.*m_gev, 150000.*m_gev, 0.};
00429 double m_etapoints[m_netabins+1] = {0.25, 1.0, 2.0, 0.};
00430
00431 double et_corr = m_etEMCalib+m_etHadCalib;
00432 double eta = fabs( m_tlv.Eta() );
00433 double corr = 1, fudge = 1.011;
00434
00435 unsigned int lowpt_idx = 0;
00436 unsigned int loweta_idx = 0;
00437
00438 double lowpt_frac = 0;
00439 double loweta_frac = 0;
00440
00441 double e_corr;
00442 double p_corr;
00443 double pt_corr;
00444 TLorentzVector m_tlv_corr;
00445
00446 while ( lowpt_idx < m_nptbins-1 && et_corr > m_ptpoints[lowpt_idx+1] )
00447 lowpt_idx++;
00448
00449 lowpt_frac = ( m_ptpoints[lowpt_idx+1] - et_corr ) / ( m_ptpoints[lowpt_idx+1] -
00450 m_ptpoints[lowpt_idx] );
00451
00452
00453 if ( lowpt_frac > 1 )
00454 lowpt_frac = 1;
00455 if( lowpt_frac < 0 ) {
00456
00457 std::cerr << "FIXME: lowpt_frac < 0 !!" << std::endl;
00458 }
00459
00460 while ( loweta_idx < m_netabins-1 && eta > m_etapoints[loweta_idx+1] )
00461 loweta_idx++;
00462
00463 loweta_frac = ( m_etapoints[loweta_idx+1] - eta ) /
00464 ( m_etapoints[loweta_idx+1] - m_etapoints[loweta_idx] );
00465
00466
00467 if ( loweta_frac > 1)
00468 loweta_frac = 1;
00469 if( loweta_frac < 0 ) {
00470 std::cerr << "FIXME: loweta_frac < 0 !!" << std::endl;
00471 }
00472
00473 double coeff_matrix[2][2] = { {0, 0}, {0, 0} };
00474
00475 if ( m_nb_tracks <= 1 ) {
00476 coeff_matrix[0][0] = m_ptetacorrectionsntr1[lowpt_idx*m_netabins+loweta_idx];
00477 if( lowpt_idx < m_nptbins-1 )
00478 coeff_matrix[1][0] = m_ptetacorrectionsntr1[(lowpt_idx+1)*m_netabins+loweta_idx];
00479 if( loweta_idx < m_netabins-1 )
00480 coeff_matrix[0][1] = m_ptetacorrectionsntr1[lowpt_idx*m_netabins+(loweta_idx+1)];
00481 if( lowpt_idx < m_nptbins-1 && loweta_idx < m_netabins-1 )
00482 coeff_matrix[1][1] = m_ptetacorrectionsntr1[(lowpt_idx+1)*m_netabins+(loweta_idx+1)];
00483 } else {
00484 coeff_matrix[0][0] = m_ptetacorrectionsntr23[lowpt_idx*m_netabins+loweta_idx];
00485 if( lowpt_idx < m_nptbins-1 )
00486 coeff_matrix[1][0] = m_ptetacorrectionsntr23[(lowpt_idx+1)*m_netabins+loweta_idx];
00487 if( loweta_idx < m_netabins-1 )
00488 coeff_matrix[0][1] = m_ptetacorrectionsntr23[lowpt_idx*m_netabins+(loweta_idx+1)];
00489 if( lowpt_idx < m_nptbins-1 && loweta_idx < m_netabins-1 )
00490 coeff_matrix[1][1] = m_ptetacorrectionsntr23[(lowpt_idx+1)*m_netabins+(loweta_idx+1)];
00491 }
00492
00493 corr = ( coeff_matrix[0][0] * lowpt_frac * loweta_frac )
00494 + ( coeff_matrix[1][0] * (1-lowpt_frac) * loweta_frac );
00495
00496 corr += ( coeff_matrix[0][1] * lowpt_frac * (1-loweta_frac) )
00497 + ( coeff_matrix[1][1] * (1-lowpt_frac) * (1-loweta_frac) );
00498
00499 et_corr *= corr*fudge;
00500
00502
00504
00505 e_corr=sqrt(pow(et_corr,2)+pow(et_corr,2)*pow(cos(m_tlv.Theta())/sin(m_tlv.Theta()),2));
00506
00507 p_corr=sqrt(pow(et_corr,2)+pow(et_corr,2)*pow(cos(m_tlv.Theta())/sin(m_tlv.Theta()),2)
00508 -pow(1776.99*m_gev,2));
00509
00510 pt_corr=p_corr*sin(m_tlv.Theta());
00511
00512 m_tlv_corr. SetPtEtaPhiE(pt_corr,m_tlv.Eta(),m_tlv.Phi(),e_corr);
00513
00514
00515 return m_tlv_corr;
00516 }
00517
00518
00519
00520
00521
00522
00523
00524 inline void MyTauJet::PrintParticle(std::string option) {
00525
00526 std::cout << " rec_flag, emRadius, isolFrac: "
00527 << Form("%i, %.2f, %.2f",
00528 this->reconstruction_flag(),
00529 this->emRadius(),
00530 this->isolationFraction() ) << std::endl;
00531
00532 if(option=="v"){
00533
00534 std::cout << " centrFrac, strWi2, nStrCells: "
00535 << Form("%.2f, %.2f, %.2f",
00536 this->centralityFraction(),
00537 this->stripWidth2(),
00538 this->nStripCells() ) << std::endl;
00539
00540 std::cout << " lowPtTauEleDiscr, tauENN: "
00541 << Form("%.2f, %.2f",
00542 m_lowPtTauEleDiscriminant,
00543 m_tauENeuralNetwork) << std::endl;
00544
00545 std::cout << " tauJetNeuralnetwork, llh: "
00546 << Form("%.2f, %.2f",
00547 m_tauJetNeuralnetwork,
00548 m_llh ) << std::endl;
00549
00550 std::cout << " ethadcalib, etemcalib, n_trk: "
00551 << Form("%.2f, %.2f, %i",
00552 m_etHadCalib,
00553 m_etEMCalib,
00554 m_nb_tracks ) << std::endl;
00555
00556 if(this->nb_tracks()>0){
00557 std::cout << " trk1-TRT HiThrHits, Hits: "
00558 << Form("%i, %i",
00559 m_track_TRTHighThresholdHits_1,
00560 m_track_TRTHits_1 ) << std::endl;
00561 std::cout << " trk1 Pt, Eta, Phi: "
00562 << Form("%.2f, %.2f, %.2f",
00563 m_track_1.Pt(),
00564 m_track_1.Eta(),
00565 m_track_1.Phi()) << std::endl;
00566 }
00567
00568 if(this->nb_tracks()>1){
00569 std::cout << " trk2-TRT HiThrHits, Hits: "
00570 << Form("%i, %i",
00571 m_track_TRTHighThresholdHits_2,
00572 m_track_TRTHits_2 ) << std::endl;
00573 std::cout << " trk2 Pt, Eta, Phi: "
00574 << Form("%.2f, %.2f, %.2f",
00575 m_track_2.Pt(),
00576 m_track_2.Eta(),
00577 m_track_2.Phi()) << std::endl;
00578 }
00579
00580 if(this->nb_tracks()>2){
00581 std::cout << " trk2-TRT HiThrHits, Hits: "
00582 << Form("%i, %i",
00583 m_track_TRTHighThresholdHits_3,
00584 m_track_TRTHits_3 ) << std::endl;
00585 std::cout << " trk3 Pt, Eta, Phi: "
00586 << Form("%.2f, %.2f, %.2f",
00587 m_track_3.Pt(),
00588 m_track_3.Eta(),
00589 m_track_3.Phi()) << std::endl;
00590 }
00591
00592 }
00593
00594 return;
00595 }