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source: git/modules/FastJetFinder.cc@ 9458a020

ImprovedOutputFile Timing dual_readout llp
Last change on this file since 9458a020 was de6d698, checked in by Michele Selvaggi <michele.selvaggi@…>, 10 years ago

added Trimming, Pruning and SoftDrop in FastJetFinder
  • Property mode set to 100644
File size: 15.6 KB
Line 
1/*
2 * Delphes: a framework for fast simulation of a generic collider experiment
3 * Copyright (C) 2012-2014 Universite catholique de Louvain (UCL), Belgium
4 *
5 * This program is free software: you can redistribute it and/or modify
6 * it under the terms of the GNU General Public License as published by
7 * the Free Software Foundation, either version 3 of the License, or
8 * (at your option) any later version.
9 *
10 * This program is distributed in the hope that it will be useful,
11 * but WITHOUT ANY WARRANTY; without even the implied warranty of
12 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13 * GNU General Public License for more details.
14 *
15 * You should have received a copy of the GNU General Public License
16 * along with this program. If not, see <http://www.gnu.org/licenses/>.
17 */
18
19
20/** \class FastJetFinder
21 *
22 * Finds jets using FastJet library.
23 *
24 * \author P. Demin - UCL, Louvain-la-Neuve
25 *
26 */
27
28#include "modules/FastJetFinder.h"
29
30#include "classes/DelphesClasses.h"
31#include "classes/DelphesFactory.h"
32#include "classes/DelphesFormula.h"
33
34#include "ExRootAnalysis/ExRootResult.h"
35#include "ExRootAnalysis/ExRootFilter.h"
36#include "ExRootAnalysis/ExRootClassifier.h"
37
38#include "TMath.h"
39#include "TString.h"
40#include "TFormula.h"
41#include "TRandom3.h"
42#include "TObjArray.h"
43#include "TDatabasePDG.h"
44#include "TLorentzVector.h"
45
46#include <algorithm>
47#include <stdexcept>
48#include <iostream>
49#include <sstream>
50#include <vector>
51
52#include "fastjet/PseudoJet.hh"
53#include "fastjet/JetDefinition.hh"
54#include "fastjet/ClusterSequence.hh"
55#include "fastjet/Selector.hh"
56#include "fastjet/ClusterSequenceArea.hh"
57#include "fastjet/tools/JetMedianBackgroundEstimator.hh"
58
59#include "fastjet/plugins/SISCone/fastjet/SISConePlugin.hh"
60#include "fastjet/plugins/CDFCones/fastjet/CDFMidPointPlugin.hh"
61#include "fastjet/plugins/CDFCones/fastjet/CDFJetCluPlugin.hh"
62
63#include "fastjet/contribs/Nsubjettiness/Nsubjettiness.hh"
64#include "fastjet/contribs/Nsubjettiness/Njettiness.hh"
65#include "fastjet/contribs/Nsubjettiness/NjettinessPlugin.hh"
66#include "fastjet/contribs/Nsubjettiness/WinnerTakeAllRecombiner.hh"
67
68#include "fastjet/tools/Filter.hh"
69#include "fastjet/tools/Pruner.hh"
70#include "fastjet/contribs/RecursiveTools/SoftDrop.hh"
71
72using namespace std;
73using namespace fastjet;
74using namespace fastjet::contrib;
75
76
77//------------------------------------------------------------------------------
78
79FastJetFinder::FastJetFinder() :
80 fPlugin(0), fRecomb(0), fNjettinessPlugin(0), fDefinition(0), fAreaDefinition(0), fItInputArray(0)
81{
82
83}
84
85//------------------------------------------------------------------------------
86
87FastJetFinder::~FastJetFinder()
88{
89
90}
91
92//------------------------------------------------------------------------------
93
94void FastJetFinder::Init()
95{
96 JetDefinition::Plugin *plugin = 0;
97 JetDefinition::Recombiner *recomb = 0;
98 ExRootConfParam param;
99 Long_t i, size;
100 Double_t etaMin, etaMax;
101 TEstimatorStruct estimatorStruct;
102
103 // define algorithm
104
105 fJetAlgorithm = GetInt("JetAlgorithm", 6);
106 fParameterR = GetDouble("ParameterR", 0.5);
107
108 fConeRadius = GetDouble("ConeRadius", 0.5);
109 fSeedThreshold = GetDouble("SeedThreshold", 1.0);
110 fConeAreaFraction = GetDouble("ConeAreaFraction", 1.0);
111 fMaxIterations = GetInt("MaxIterations", 100);
112 fMaxPairSize = GetInt("MaxPairSize", 2);
113 fIratch = GetInt("Iratch", 1);
114 fAdjacencyCut = GetInt("AdjacencyCut", 2);
115 fOverlapThreshold = GetDouble("OverlapThreshold", 0.75);
116
117 fJetPTMin = GetDouble("JetPTMin", 10.0);
118
119 //-- N(sub)jettiness parameters --
120
121 fComputeNsubjettiness = GetBool("ComputeNsubjettiness", false);
122 fBeta = GetDouble("Beta", 1.0);
123 fAxisMode = GetInt("AxisMode", 1);
124 fRcutOff = GetDouble("RcutOff", 0.8); // used only if Njettiness is used as jet clustering algo (case 8)
125 fN = GetInt("N", 2); // used only if Njettiness is used as jet clustering algo (case 8)
126
127 //-- Trimming parameters --
128
129 fComputeTrimming = GetBool("ComputeTrimming", false);
130 fRTrim = GetDouble("RTrim", 0.2);
131 fPtFracTrim = GetDouble("PtFracTrim", 0.05);
132
133
134 //-- Pruning parameters --
135
136 fComputePruning = GetBool("ComputePruning", false);
137 fZcutPrun = GetDouble("ZcutPrun", 0.1);
138 fRcutPrun = GetDouble("RcutPrun", 0.5);
139 fRPrun = GetDouble("RPrun", 0.8);
140
141 //-- SoftDrop parameters --
142
143 fComputeSoftDrop = GetBool("ComputeSoftDrop", false);
144 fBetaSoftDrop = GetDouble("BetaSoftDrop", 0.0);
145 fSymmetryCutSoftDrop = GetDouble("SymmetryCutSoftDrop", 0.1);
146 fR0SoftDrop= GetDouble("R0SoftDrop=", 0.8);
147
148
149 // --- Jet Area Parameters ---
150 fAreaAlgorithm = GetInt("AreaAlgorithm", 0);
151 fComputeRho = GetBool("ComputeRho", false);
152
153 // - ghost based areas -
154 fGhostEtaMax = GetDouble("GhostEtaMax", 5.0);
155 fRepeat = GetInt("Repeat", 1);
156 fGhostArea = GetDouble("GhostArea", 0.01);
157 fGridScatter = GetDouble("GridScatter", 1.0);
158 fPtScatter = GetDouble("PtScatter", 0.1);
159 fMeanGhostPt = GetDouble("MeanGhostPt", 1.0E-100);
160
161 // - voronoi based areas -
162 fEffectiveRfact = GetDouble("EffectiveRfact", 1.0);
163
164 switch(fAreaAlgorithm)
165 {
166 case 1:
167 fAreaDefinition = new AreaDefinition(active_area_explicit_ghosts, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
168 break;
169 case 2:
170 fAreaDefinition = new AreaDefinition(one_ghost_passive_area, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
171 break;
172 case 3:
173 fAreaDefinition = new AreaDefinition(passive_area, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
174 break;
175 case 4:
176 fAreaDefinition = new AreaDefinition(VoronoiAreaSpec(fEffectiveRfact));
177 break;
178 case 5:
179 fAreaDefinition = new AreaDefinition(active_area, GhostedAreaSpec(fGhostEtaMax, fRepeat, fGhostArea, fGridScatter, fPtScatter, fMeanGhostPt));
180 break;
181 default:
182 case 0:
183 fAreaDefinition = 0;
184 break;
185 }
186
187 switch(fJetAlgorithm)
188 {
189 case 1:
190 plugin = new CDFJetCluPlugin(fSeedThreshold, fConeRadius, fAdjacencyCut, fMaxIterations, fIratch, fOverlapThreshold);
191 fDefinition = new JetDefinition(plugin);
192 break;
193 case 2:
194 plugin = new CDFMidPointPlugin(fSeedThreshold, fConeRadius, fConeAreaFraction, fMaxPairSize, fMaxIterations, fOverlapThreshold);
195 fDefinition = new JetDefinition(plugin);
196 break;
197 case 3:
198 plugin = new SISConePlugin(fConeRadius, fOverlapThreshold, fMaxIterations, fJetPTMin);
199 fDefinition = new JetDefinition(plugin);
200 break;
201 case 4:
202 fDefinition = new JetDefinition(kt_algorithm, fParameterR);
203 break;
204 case 5:
205 fDefinition = new JetDefinition(cambridge_algorithm, fParameterR);
206 break;
207 default:
208 case 6:
209 fDefinition = new JetDefinition(antikt_algorithm, fParameterR);
210 break;
211 case 7:
212 recomb = new WinnerTakeAllRecombiner();
213 fDefinition = new JetDefinition(antikt_algorithm, fParameterR, recomb, Best);
214 break;
215 case 8:
216 fNjettinessPlugin = new NjettinessPlugin(fN, Njettiness::wta_kt_axes, Njettiness::unnormalized_cutoff_measure, fBeta, fRcutOff);
217 fDefinition = new JetDefinition(fNjettinessPlugin);
218 break;
219 }
220
221 fPlugin = plugin;
222 fRecomb = recomb;
223
224 ClusterSequence::print_banner();
225
226 if(fComputeRho && fAreaDefinition)
227 {
228 // read eta ranges
229
230 param = GetParam("RhoEtaRange");
231 size = param.GetSize();
232
233 fEstimators.clear();
234 for(i = 0; i < size/2; ++i)
235 {
236 etaMin = param[i*2].GetDouble();
237 etaMax = param[i*2 + 1].GetDouble();
238 estimatorStruct.estimator = new JetMedianBackgroundEstimator(SelectorEtaRange(etaMin, etaMax), *fDefinition, *fAreaDefinition);
239 estimatorStruct.etaMin = etaMin;
240 estimatorStruct.etaMax = etaMax;
241 fEstimators.push_back(estimatorStruct);
242 }
243 }
244
245 // import input array
246
247 fInputArray = ImportArray(GetString("InputArray", "Calorimeter/towers"));
248 fItInputArray = fInputArray->MakeIterator();
249
250 // create output arrays
251
252 fOutputArray = ExportArray(GetString("OutputArray", "jets"));
253 fRhoOutputArray = ExportArray(GetString("RhoOutputArray", "rho"));
254}
255
256//------------------------------------------------------------------------------
257
258void FastJetFinder::Finish()
259{
260 vector< TEstimatorStruct >::iterator itEstimators;
261
262 for(itEstimators = fEstimators.begin(); itEstimators != fEstimators.end(); ++itEstimators)
263 {
264 if(itEstimators->estimator) delete itEstimators->estimator;
265 }
266
267 if(fItInputArray) delete fItInputArray;
268 if(fDefinition) delete fDefinition;
269 if(fAreaDefinition) delete fAreaDefinition;
270 if(fPlugin) delete static_cast<JetDefinition::Plugin*>(fPlugin);
271 if(fRecomb) delete static_cast<JetDefinition::Recombiner*>(fRecomb);
272 if(fNjettinessPlugin) delete static_cast<JetDefinition::Plugin*>(fNjettinessPlugin);
273}
274
275//------------------------------------------------------------------------------
276
277void FastJetFinder::Process()
278{
279 Candidate *candidate, *constituent;
280 TLorentzVector momentum;
281
282 Double_t deta, dphi, detaMax, dphiMax;
283 Double_t time, timeWeight;
284 Int_t number;
285 Double_t rho = 0.0;
286 PseudoJet jet, area;
287 ClusterSequence *sequence;
288 vector< PseudoJet > inputList, outputList, subjets;
289 vector< PseudoJet >::iterator itInputList, itOutputList;
290 vector< TEstimatorStruct >::iterator itEstimators;
291
292 DelphesFactory *factory = GetFactory();
293
294 inputList.clear();
295
296 // loop over input objects
297 fItInputArray->Reset();
298 number = 0;
299 while((candidate = static_cast<Candidate*>(fItInputArray->Next())))
300 {
301 momentum = candidate->Momentum;
302 jet = PseudoJet(momentum.Px(), momentum.Py(), momentum.Pz(), momentum.E());
303 jet.set_user_index(number);
304 inputList.push_back(jet);
305 ++number;
306 }
307
308 // construct jets
309 if(fAreaDefinition)
310 {
311 sequence = new ClusterSequenceArea(inputList, *fDefinition, *fAreaDefinition);
312 }
313 else
314 {
315 sequence = new ClusterSequence(inputList, *fDefinition);
316 }
317
318 // compute rho and store it
319 if(fComputeRho && fAreaDefinition)
320 {
321 for(itEstimators = fEstimators.begin(); itEstimators != fEstimators.end(); ++itEstimators)
322 {
323 itEstimators->estimator->set_particles(inputList);
324 rho = itEstimators->estimator->rho();
325
326 candidate = factory->NewCandidate();
327 candidate->Momentum.SetPtEtaPhiE(rho, 0.0, 0.0, rho);
328 candidate->Edges[0] = itEstimators->etaMin;
329 candidate->Edges[1] = itEstimators->etaMax;
330 fRhoOutputArray->Add(candidate);
331 }
332 }
333
334 outputList.clear();
335 outputList = sorted_by_pt(sequence->inclusive_jets(fJetPTMin));
336
337
338 // loop over all jets and export them
339 detaMax = 0.0;
340 dphiMax = 0.0;
341 for(itOutputList = outputList.begin(); itOutputList != outputList.end(); ++itOutputList)
342 {
343 jet = *itOutputList;
344 if(fJetAlgorithm == 7) jet = join(jet.constituents());
345
346 momentum.SetPxPyPzE(jet.px(), jet.py(), jet.pz(), jet.E());
347
348 area.reset(0.0, 0.0, 0.0, 0.0);
349 if(fAreaDefinition) area = itOutputList->area_4vector();
350
351 candidate = factory->NewCandidate();
352
353 time = 0.0;
354 timeWeight = 0.0;
355
356 inputList.clear();
357 inputList = sequence->constituents(*itOutputList);
358
359 for(itInputList = inputList.begin(); itInputList != inputList.end(); ++itInputList)
360 {
361 constituent = static_cast<Candidate*>(fInputArray->At(itInputList->user_index()));
362
363 deta = TMath::Abs(momentum.Eta() - constituent->Momentum.Eta());
364 dphi = TMath::Abs(momentum.DeltaPhi(constituent->Momentum));
365 if(deta > detaMax) detaMax = deta;
366 if(dphi > dphiMax) dphiMax = dphi;
367
368 time += TMath::Sqrt(constituent->Momentum.E())*(constituent->Position.T());
369 timeWeight += TMath::Sqrt(constituent->Momentum.E());
370
371 candidate->AddCandidate(constituent);
372 }
373
374 candidate->Momentum = momentum;
375 candidate->Position.SetT(time/timeWeight);
376 candidate->Area.SetPxPyPzE(area.px(), area.py(), area.pz(), area.E());
377
378 candidate->DeltaEta = detaMax;
379 candidate->DeltaPhi = dphiMax;
380
381 //------------------------------------
382 // Trimming
383 //------------------------------------
384
385 if(fComputeTrimming)
386 {
387
388 fastjet::Filter trimmer(fastjet::JetDefinition(fastjet::kt_algorithm,fRTrim),fastjet::SelectorPtFractionMin(fPtFracTrim));
389 fastjet::PseudoJet trimmed_jet = trimmer(*itOutputList);
390
391 trimmed_jet = join(trimmed_jet.constituents());
392
393 candidate->TrimmedP4[0].SetPtEtaPhiM(trimmed_jet.pt(), trimmed_jet.eta(), trimmed_jet.phi(), trimmed_jet.m());
394
395 // four hardest subjets
396 subjets.clear();
397 subjets = trimmed_jet.pieces();
398 subjets = sorted_by_pt(subjets);
399
400 candidate->NSubJetsTrimmed = subjets.size();
401
402 for (size_t i = 0; i < subjets.size() and i < 4; i++){
403 if(subjets.at(i).pt() < 0) continue ;
404 candidate->TrimmedP4[i+1].SetPtEtaPhiM(subjets.at(i).pt(), subjets.at(i).eta(), subjets.at(i).phi(), subjets.at(i).m());
405 }
406 }
407
408
409 //------------------------------------
410 // Pruning
411 //------------------------------------
412
413
414 if(fComputePruning)
415 {
416
417 fastjet::Pruner pruner(fastjet::JetDefinition(fastjet::cambridge_algorithm,fRPrun),fZcutPrun,fRcutPrun);
418 fastjet::PseudoJet pruned_jet = pruner(*itOutputList);
419
420 candidate->PrunedP4[0].SetPtEtaPhiM(pruned_jet.pt(), pruned_jet.eta(), pruned_jet.phi(), pruned_jet.m());
421
422 // four hardest subjet
423 subjets.clear();
424 subjets = pruned_jet.pieces();
425 subjets = sorted_by_pt(subjets);
426
427 candidate->NSubJetsPruned = subjets.size();
428
429 for (size_t i = 0; i < subjets.size() and i < 4; i++){
430 if(subjets.at(i).pt() < 0) continue ;
431 candidate->PrunedP4[i+1].SetPtEtaPhiM(subjets.at(i).pt(), subjets.at(i).eta(), subjets.at(i).phi(), subjets.at(i).m());
432 }
433
434 }
435
436 //------------------------------------
437 // SoftDrop
438 //------------------------------------
439
440 if(fComputeSoftDrop)
441 {
442
443 contrib::SoftDrop softDrop(fBetaSoftDrop,fSymmetryCutSoftDrop,fR0SoftDrop);
444 fastjet::PseudoJet softdrop_jet = softDrop(*itOutputList);
445
446 candidate->SoftDroppedP4[0].SetPtEtaPhiM(softdrop_jet.pt(), softdrop_jet.eta(), softdrop_jet.phi(), softdrop_jet.m());
447
448 // four hardest subjet
449
450 subjets.clear();
451 subjets = softdrop_jet.pieces();
452 subjets = sorted_by_pt(subjets);
453 candidate->NSubJetsSoftDropped = softdrop_jet.pieces().size();
454
455 for (size_t i = 0; i < subjets.size() and i < 4; i++){
456 if(subjets.at(i).pt() < 0) continue ;
457 candidate->SoftDroppedP4[i+1].SetPtEtaPhiM(subjets.at(i).pt(), subjets.at(i).eta(), subjets.at(i).phi(), subjets.at(i).m());
458 }
459 }
460
461 // --- compute N-subjettiness with N = 1,2,3,4,5 ----
462
463 if(fComputeNsubjettiness)
464 {
465 Njettiness::AxesMode axisMode;
466
467 switch(fAxisMode)
468 {
469 default:
470 case 1:
471 axisMode = Njettiness::wta_kt_axes;
472 break;
473 case 2:
474 axisMode = Njettiness::onepass_wta_kt_axes;
475 break;
476 case 3:
477 axisMode = Njettiness::kt_axes;
478 break;
479 case 4:
480 axisMode = Njettiness::onepass_kt_axes;
481 break;
482 }
483
484 Njettiness::MeasureMode measureMode = Njettiness::unnormalized_measure;
485
486 Nsubjettiness nSub1(1, axisMode, measureMode, fBeta);
487 Nsubjettiness nSub2(2, axisMode, measureMode, fBeta);
488 Nsubjettiness nSub3(3, axisMode, measureMode, fBeta);
489 Nsubjettiness nSub4(4, axisMode, measureMode, fBeta);
490 Nsubjettiness nSub5(5, axisMode, measureMode, fBeta);
491
492 candidate->Tau[0] = nSub1(*itOutputList);
493 candidate->Tau[1] = nSub2(*itOutputList);
494 candidate->Tau[2] = nSub3(*itOutputList);
495 candidate->Tau[3] = nSub4(*itOutputList);
496 candidate->Tau[4] = nSub5(*itOutputList);
497 }
498
499 fOutputArray->Add(candidate);
500 }
501 delete sequence;
502}
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