1 |
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// TODO find why energies suddenly bigger |
1 |
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/* A simple jet-finding analyzer */ |
2 |
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3 |
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#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h" |
7 |
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#include "FWCore/MessageLogger/interface/MessageLogger.h" |
8 |
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#include "PhysicsTools/UtilAlgos/interface/TFileService.h" |
9 |
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|
10 |
< |
#include "SimDataFormats/HepMCProduct/interface/HepMCProduct.h" |
11 |
< |
#include "DataFormats/Candidate/interface/Particle.h" |
10 |
> |
#include "DataFormats/HepMCCandidate/interface/GenParticleFwd.h" |
11 |
> |
#include "DataFormats/HepMCCandidate/interface/GenParticle.h" |
12 |
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#include "DataFormats/ParticleFlowCandidate/interface/PFCandidateFwd.h" |
13 |
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#include "DataFormats/ParticleFlowCandidate/interface/PFCandidate.h" |
14 |
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#include "DataFormats/ParticleFlowReco/interface/PFBlock.h" |
15 |
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|
16 |
+ |
/* Jet reco stuff */ |
17 |
+ |
#include "DataFormats/JetReco/interface/PFJetCollection.h" |
18 |
+ |
#include "DataFormats/JetReco/interface/GenJetCollection.h" |
19 |
+ |
#include "DataFormats/JetReco/interface/PFJet.h" |
20 |
+ |
#include "DataFormats/JetReco/interface/GenJet.h" |
21 |
+ |
|
22 |
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#include <map> |
23 |
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#include <vector> |
24 |
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#include <limits> |
35 |
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using namespace std; |
36 |
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using namespace fastjet; |
37 |
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|
33 |
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// Class to represent a "generic" particle, whether raw or reconstructed |
34 |
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class GenericParticle { |
35 |
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public: |
36 |
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GenericParticle(double __px, double __py, double __pz, double __e, |
37 |
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double __charge = 0.0) |
38 |
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: _px(__px), _py(__py), _pz(__pz), _e(__e), _charge(__charge) { |
39 |
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} |
40 |
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GenericParticle(const HepMC::GenParticle &genParticle) |
41 |
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: _charge(0.0) { |
42 |
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_px = genParticle.momentum().px(); |
43 |
– |
_py = genParticle.momentum().py(); |
44 |
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_pz = genParticle.momentum().pz(); |
45 |
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_e = genParticle.momentum().e(); |
46 |
– |
} |
47 |
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GenericParticle(const reco::PFCandidate &pfCandidate) |
48 |
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: _charge(0.0) { |
49 |
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_px = pfCandidate.px(); |
50 |
– |
_py = pfCandidate.py(); |
51 |
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_pz = pfCandidate.pz(); |
52 |
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_e = pfCandidate.energy(); |
53 |
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} |
54 |
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double px() { |
55 |
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return _px; |
56 |
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} |
57 |
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double py() { |
58 |
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return _py; |
59 |
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} |
60 |
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double pz() { |
61 |
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return _pz; |
62 |
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} |
63 |
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double e() { |
64 |
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return _e; |
65 |
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} |
66 |
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double charge() { |
67 |
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return _charge; |
68 |
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} |
69 |
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double eta() { |
70 |
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double theta = acos(_pz/sqrt(_px*_px + _py*_py + _pz*_pz)); |
71 |
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return -log(tan(theta*0.5)); |
72 |
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} |
73 |
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double phi() { |
74 |
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double phi0 = acos(_px/sqrt(_px*_px + _py*_py)); |
75 |
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return _py > 0.0 ? phi0 : -phi0; |
76 |
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} |
77 |
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double m() { |
78 |
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return sqrt(_e*_e - _px*_px - _py*_py - _pz*_pz); |
79 |
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} |
80 |
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private: |
81 |
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double _px; |
82 |
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double _py; |
83 |
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double _pz; |
84 |
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double _e; |
85 |
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double _charge; |
86 |
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}; |
87 |
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|
38 |
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class JetFinderAnalyzer : public JetFitAnalyzer { |
39 |
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public: |
40 |
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struct jet { |
115 |
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TH2 *); |
116 |
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virtual void analyze_results(jetfit::results r, |
117 |
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std::vector<jetfit::trouble> t, TH2 *); |
118 |
< |
vector<GenericParticle *> get_particles(const edm::Event&); |
118 |
> |
vector<reco::Candidate *> get_particles(const edm::Event&); |
119 |
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void fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>&, |
120 |
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const edm::InputTag&, const edm::Event&) const; |
121 |
+ |
void fetchCandidateCollection(edm::Handle<reco::GenParticleCollection>&, |
122 |
+ |
const edm::InputTag&, const edm::Event&) const; |
123 |
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|
124 |
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fstream ofs; |
125 |
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edm::InputTag inputTagPFCandidates_; |
126 |
+ |
edm::InputTag inputTagGenParticles_; |
127 |
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int info_type_; |
128 |
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double smear_; |
129 |
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int smear_coord_; |
130 |
+ |
string jet_algo_; |
131 |
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}; |
132 |
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|
133 |
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map<TH2 *, vector< vector< JetFinderAnalyzer::jet > > > |
138 |
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{ |
139 |
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info_type_ = pSet.getUntrackedParameter("info_type", 0); |
140 |
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|
141 |
+ |
if (info_type_ == 0) { |
142 |
+ |
inputTagGenParticles_ = pSet.getParameter<edm::InputTag>("GenParticles"); |
143 |
+ |
} |
144 |
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if (info_type_ == 1) { |
145 |
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inputTagPFCandidates_ = pSet.getParameter<edm::InputTag>("PFCandidates"); |
146 |
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} |
149 |
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smear_coord_ = pSet.getUntrackedParameter("smear_coord", 0); |
150 |
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// 0 = eta-phi smear |
151 |
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// 1 = proper angle smear |
152 |
+ |
jet_algo_ = pSet.getParameter<string>("jet_algo"); |
153 |
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set_user_minuit(jetfinder); |
154 |
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} |
155 |
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|
170 |
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|
171 |
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} |
172 |
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|
173 |
< |
vector<GenericParticle *> JetFinderAnalyzer::get_particles(const edm::Event &evt) { |
173 |
> |
void |
174 |
> |
JetFinderAnalyzer::fetchCandidateCollection(edm::Handle<reco::GenParticleCollection>& c, |
175 |
> |
const edm::InputTag& tag, |
176 |
> |
const edm::Event& iEvent) const { |
177 |
> |
|
178 |
> |
bool found = iEvent.getByLabel(tag, c); |
179 |
> |
|
180 |
> |
if(!found ) { |
181 |
> |
ostringstream err; |
182 |
> |
err<<" cannot get GenParticles: " |
183 |
> |
<<tag<<endl; |
184 |
> |
edm::LogError("GenParticles")<<err.str(); |
185 |
> |
throw cms::Exception( "MissingProduct", err.str()); |
186 |
> |
} |
187 |
> |
|
188 |
> |
} |
189 |
> |
|
190 |
> |
vector<reco::Candidate *> JetFinderAnalyzer::get_particles(const edm::Event &evt) { |
191 |
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// fill unreduced histo |
192 |
< |
edm::Handle<edm::HepMCProduct> hRaw; |
192 |
> |
edm::Handle<reco::GenParticleCollection> hRaw; |
193 |
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edm::Handle<reco::PFCandidateCollection> hPFlow; |
194 |
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if (info_type_ == 0) { |
195 |
< |
evt.getByLabel("source", hRaw); |
195 |
> |
fetchCandidateCollection(hRaw, |
196 |
> |
inputTagGenParticles_, |
197 |
> |
evt); |
198 |
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} |
199 |
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if (info_type_ == 1) { |
200 |
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fetchCandidateCollection(hPFlow, |
202 |
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evt); |
203 |
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} |
204 |
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|
205 |
< |
vector<GenericParticle *> particles; |
205 |
> |
vector<reco::Candidate *> particles; |
206 |
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|
207 |
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switch (info_type_) { |
208 |
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case 0: |
209 |
< |
const HepMC::GenEvent *hmcEvt = hRaw->GetEvent(); |
210 |
< |
for (HepMC::GenEvent::particle_const_iterator |
211 |
< |
pit = hmcEvt->particles_begin(); pit != hmcEvt->particles_end(); |
235 |
< |
pit++) { |
236 |
< |
if ((*pit)->status() == 1) { |
237 |
< |
particles.push_back(new GenericParticle(**pit)); |
209 |
> |
for (unsigned i = 0; i < hRaw->size(); i++) { |
210 |
> |
if ((*hRaw)[i].status() == 1) { |
211 |
> |
particles.push_back((reco::Candidate *)&((*hRaw)[i])); |
212 |
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} |
213 |
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} |
240 |
– |
|
214 |
|
break; |
215 |
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case 1: |
216 |
|
for (unsigned i = 0; i < hPFlow->size(); i++) { |
217 |
< |
particles.push_back(new GenericParticle((*hPFlow)[i])); |
217 |
> |
particles.push_back((reco::Candidate *)&((*hPFlow)[i])); |
218 |
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} |
219 |
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break; |
220 |
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default: |
230 |
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TH2D *unred_histo = new TH2D(oss.str().c_str(), oss.str().c_str(), |
231 |
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600, -2.5, 2.5, 600, -PI, PI); |
232 |
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|
233 |
< |
vector<GenericParticle *> particles = get_particles(evt); |
233 |
> |
vector<reco::Candidate *> particles = get_particles(evt); |
234 |
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for (int i = 0; i < particles.size(); i++) { |
235 |
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unred_histo->Fill(particles[i]->eta(), |
236 |
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particles[i]->phi(), |
237 |
< |
particles[i]->e()); |
237 |
> |
particles[i]->energy()); |
238 |
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} |
239 |
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|
240 |
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// reduce histo |
276 |
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60, max_x-rcone, max_x+rcone, |
277 |
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60, max_y-rcone, max_y+rcone); |
278 |
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for (int i = 0; i < particles.size(); i++) { |
279 |
< |
double N = particles[i]->e(); |
279 |
> |
double N = particles[i]->energy(); |
280 |
|
double x = particles[i]->eta(); |
281 |
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double y = particles[i]->phi(); |
282 |
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histo_unsmeared->Fill(x, y, N); |
294 |
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switch (smear_coord_) { |
295 |
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case 1: |
296 |
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for (int i = 0; i < particles.size(); i++) { |
297 |
< |
double N = particles[i]->e(); |
297 |
> |
double N = particles[i]->energy(); |
298 |
|
double x = particles[i]->eta(); |
299 |
|
double y = particles[i]->phi(); |
300 |
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// loop over bins and add Gaussian in proper angle to smeared |
302 |
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for (vector< double >::size_type j2 = 0; j2 < 60; j2++) { |
303 |
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double eta = static_cast<double>((signed int)i2) * XbinSize + |
304 |
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max_x - rcone - x; |
305 |
< |
double phi = acos(cos(static_cast<double>((signed int)j2) * YbinSize + |
306 |
< |
max_y - rcone - y)); |
307 |
< |
phi = sin(phi) > 0 ? phi : -phi; |
305 |
> |
double phi0 = static_cast<double>((signed int)j2) * YbinSize + |
306 |
> |
max_y - rcone - y; |
307 |
> |
double phi = acos(cos(phi0)); |
308 |
> |
phi = sin(phi0) > 0 ? phi : -phi; |
309 |
|
|
310 |
|
// transform eta, phi to proper angle |
311 |
|
double theta = 2.0*atan(exp(-eta)); |
313 |
|
|
314 |
|
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
315 |
|
* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_)); |
316 |
+ |
|
317 |
+ |
// correct for out-of-range phi |
318 |
+ |
double transform = 0.0; |
319 |
+ |
if (histo->GetYaxis()->GetXmin() < -PI) { |
320 |
+ |
transform = -2.0*PI; |
321 |
+ |
phi += transform; |
322 |
+ |
iota = asin(sin(theta)*sin(phi)); |
323 |
+ |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
324 |
+ |
* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_)); |
325 |
+ |
} |
326 |
+ |
if (histo->GetYaxis()->GetXmax() > PI) { |
327 |
+ |
transform = 2.0*PI; |
328 |
+ |
phi += transform; |
329 |
+ |
iota = asin(sin(theta)*sin(phi)); |
330 |
+ |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
331 |
+ |
* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_)); |
332 |
+ |
} |
333 |
|
} |
334 |
|
} |
335 |
|
} |
337 |
|
case 0: |
338 |
|
default: |
339 |
|
for (int i = 0; i < particles.size(); i++) { |
340 |
< |
double N = particles[i]->e(); |
340 |
> |
double N = particles[i]->energy(); |
341 |
|
double x = particles[i]->eta(); |
342 |
|
double y = particles[i]->phi(); |
343 |
|
// loop over bins and add Gaussian to smeared |
345 |
|
for (vector< double >::size_type j2 = 0; j2 < 60; j2++) { |
346 |
|
double eta = static_cast<double>((signed int)i2) * XbinSize |
347 |
|
+ max_x - rcone - x; |
348 |
< |
double phi = acos(cos(static_cast<double>((signed int)j2) * YbinSize |
349 |
< |
+ max_y - rcone - y)); |
350 |
< |
phi = sin(phi) > 0 ? phi : -phi; |
348 |
> |
double phi0 = static_cast<double>((signed int)j2) * YbinSize + |
349 |
> |
max_y - rcone - y; |
350 |
> |
double phi = acos(cos(phi0)); |
351 |
> |
phi = sin(phi0) > 0 ? phi : -phi; |
352 |
|
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
353 |
|
* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_)); |
354 |
+ |
|
355 |
+ |
// correct for out-of-range phi |
356 |
+ |
double transform = 0.0; |
357 |
+ |
if (histo->GetYaxis()->GetXmin() < -PI) { |
358 |
+ |
transform = -2.0*PI; |
359 |
+ |
phi += transform; |
360 |
+ |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
361 |
+ |
* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_)); |
362 |
+ |
} |
363 |
+ |
if (histo->GetYaxis()->GetXmax() > PI) { |
364 |
+ |
transform = 2.0*PI; |
365 |
+ |
phi += transform; |
366 |
+ |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
367 |
+ |
* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_)); |
368 |
+ |
} |
369 |
|
} |
370 |
|
} |
371 |
|
} |
380 |
|
return histo; |
381 |
|
} |
382 |
|
|
383 |
< |
void seed_with_CA(vector<GenericParticle *> gParticles, TH2 *histo, |
383 |
> |
void seed_with_jetcoll(vector<reco::Jet> jets, |
384 |
|
jetfit::model_def &_mdef) { |
385 |
< |
// create a PseudoJet vector |
379 |
< |
vector<PseudoJet> particles; |
380 |
< |
for (unsigned i = 0; i < gParticles.size(); i++) { |
381 |
< |
double x_max = (histo->GetXaxis()->GetXmax() |
382 |
< |
+ histo->GetXaxis()->GetXmin()) / 2.0; |
383 |
< |
double y_max = (histo->GetYaxis()->GetXmax() |
384 |
< |
+ histo->GetYaxis()->GetXmin()) / 2.0; |
385 |
< |
valarray<double> pmom(4); |
386 |
< |
pmom[0] = gParticles[i]->px(); |
387 |
< |
pmom[1] = gParticles[i]->py(); |
388 |
< |
pmom[2] = gParticles[i]->pz(); |
389 |
< |
pmom[3] = gParticles[i]->e(); |
390 |
< |
double eta = gParticles[i]->eta(); |
391 |
< |
double phi = gParticles[i]->phi(); |
392 |
< |
if ((eta - x_max)*(eta - x_max) + (phi - y_max)*(phi - y_max) < 0.25) { |
393 |
< |
PseudoJet j(pmom); |
394 |
< |
particles.push_back(j); |
395 |
< |
} |
396 |
< |
} |
397 |
< |
|
398 |
< |
// choose a jet definition |
399 |
< |
double R = 0.2; |
400 |
< |
JetDefinition jet_def(cambridge_algorithm, R); |
401 |
< |
|
402 |
< |
// run clustering and extract the jets |
403 |
< |
ClusterSequence cs(particles, jet_def); |
404 |
< |
vector<PseudoJet> jets = cs.inclusive_jets(); |
405 |
< |
|
406 |
< |
double XbinSize = (histo->GetXaxis()->GetXmax() |
407 |
< |
- histo->GetXaxis()->GetXmin()) / |
408 |
< |
static_cast<double>(histo->GetXaxis()->GetNbins()); |
409 |
< |
double YbinSize = (histo->GetYaxis()->GetXmax() |
410 |
< |
- histo->GetYaxis()->GetXmin()) / |
411 |
< |
static_cast<double>(histo->GetYaxis()->GetNbins()); |
412 |
< |
|
413 |
< |
// seed with C-A jets |
385 |
> |
// seed with jet collection |
386 |
|
int ijset = 0; |
387 |
|
for (unsigned ij = 0; ij < jets.size(); ij++) { |
388 |
< |
double N = jets[ij].e(); |
389 |
< |
if (N > 50.0) { |
388 |
> |
double N = jets[ij].energy(); |
389 |
> |
double eta = jets[ij].eta(); |
390 |
> |
double phi = jets[ij].phi(); |
391 |
> |
if (N > 10.0) { |
392 |
|
_mdef.set_special_par(ijset, 0, N, _mdef.chisquare_error(N)*0.1, |
393 |
|
0.0, 1.0e6); |
394 |
< |
_mdef.set_special_par(ijset, 1, jets[ij].eta(), 0.01, |
394 |
> |
_mdef.set_special_par(ijset, 1, eta, 0.01, |
395 |
|
0.0, 0.0); |
396 |
< |
double mdef_phi = jets[ij].phi() > PI ? jets[ij].phi() - 2*PI |
397 |
< |
: jets[ij].phi(); |
396 |
> |
double mdef_phi = phi > PI ? phi - 2*PI |
397 |
> |
: phi; |
398 |
|
_mdef.set_special_par(ijset, 2, mdef_phi, 0.01, |
399 |
|
0.0, 0.0); |
400 |
|
_mdef.set_special_par(ijset, 3, 0.1, 0.001, 0.0, 0.0); |
409 |
|
class jf_model_def : public jetfit::model_def { |
410 |
|
public: |
411 |
|
virtual double chisquare_error(double E) { |
412 |
< |
return 0.97*E + 14.0; |
413 |
< |
// study from 08-27-09 |
412 |
> |
return exp(-(4.2 + 0.11*E)); |
413 |
> |
// study from 09-04-09 |
414 |
|
} |
415 |
|
}; |
416 |
|
|
426 |
|
_mdef->set_indiv_par(2, string("mu_y"), 0.0, 0.0, 0.0, 0.0); |
427 |
|
_mdef->set_indiv_par(3, string("sig"), 0.1, 0.001, 0.0, 0.0); |
428 |
|
|
429 |
< |
seed_with_CA(get_particles(evt), histo, *_mdef); |
429 |
> |
// get jetcoll from event file |
430 |
> |
edm::Handle< vector<reco::Jet> > jet_collection; |
431 |
> |
evt.getByLabel(jet_algo_, jet_collection); |
432 |
> |
seed_with_jetcoll(*jet_collection, *_mdef); |
433 |
|
|
434 |
|
jetfit::set_model_def(_mdef); |
435 |
|
|
476 |
|
} |
477 |
|
jetfit::set_ngauss(_mdef->get_n_special_par_sets()); |
478 |
|
init_fit_histo->SetBinContent(i+1, j+1, |
479 |
< |
jetfit::fit_fcn(x, y, pval)); |
479 |
> |
jetfit::fit_fcn(x, y, pval) |
480 |
> |
* XbinSize * YbinSize); |
481 |
|
} |
482 |
|
} |
483 |
|
|
530 |
|
else |
531 |
|
out << "Not calculated" << endl; |
532 |
|
} |
533 |
+ |
else { |
534 |
+ |
out << "Error matrix accurate" << endl; |
535 |
+ |
} |
536 |
|
|
537 |
|
return out; |
538 |
|
} |
541 |
|
std::vector<jetfit::trouble> t, |
542 |
|
TH2 *hist_orig) { |
543 |
|
ofs << "Histogram "<<hist_orig->GetName() << endl; |
544 |
< |
for (int i = 0; i < unique_jets[hist_orig].size(); i++) { |
544 |
> |
for (int i = unique_jets[hist_orig].size() - r.chisquare.size(); |
545 |
> |
i < unique_jets[hist_orig].size(); i++) { |
546 |
> |
int ir = i - unique_jets[hist_orig].size() + r.chisquare.size(); |
547 |
|
ofs << "For "<<i+1<<" gaussians: " << endl |
548 |
< |
<< t.at(i) << endl |
549 |
< |
<< unique_jets[hist_orig][i].size()<<" unique jets found" << endl; |
548 |
> |
<< t.at(i) << endl; |
549 |
> |
ofs << "chisquare="<<r.chisquare.at(ir) |
550 |
> |
<< endl; |
551 |
> |
ofs << unique_jets[hist_orig][i].size()<<" unique jets found" << endl; |
552 |
|
for (int j = 0; j < unique_jets[hist_orig][i].size(); j++) { |
553 |
|
jet _jet = unique_jets[hist_orig][i][j]; |
554 |
|
ofs << "Jet "<<j<<": Energy = "<<_jet.energy<<", eta = "<<_jet.eta |