24 |
|
#include <limits> |
25 |
|
#include <cmath> |
26 |
|
#include <cstdlib> |
27 |
+ |
#include <iostream> |
28 |
|
#include <fstream> |
29 |
|
#include <sstream> |
30 |
|
|
71 |
|
return sum1 * sum2; |
72 |
|
} |
73 |
|
|
74 |
< |
static void jetfinder(TMinuit *gMinuit, TH2 *hist, int ngauss) { |
75 |
< |
double dist_sq = numeric_limits<double>::infinity(); |
75 |
< |
unique_jets[hist].resize(ngauss); |
76 |
< |
int nbinsX = hist->GetXaxis()->GetNbins(); |
77 |
< |
int nbinsY = hist->GetYaxis()->GetNbins(); |
78 |
< |
double XbinSize = (hist->GetXaxis()->GetXmax() |
79 |
< |
- hist->GetXaxis()->GetXmin()) |
80 |
< |
/ static_cast<double>(nbinsX); |
81 |
< |
double YbinSize = (hist->GetYaxis()->GetXmax() |
82 |
< |
- hist->GetYaxis()->GetXmin()) |
83 |
< |
/ static_cast<double>(nbinsY); |
84 |
< |
for (int i = 0; i < ngauss; i++) { |
85 |
< |
double N, mu_x, mu_y, sig, err, lo, hi; |
86 |
< |
int iuint; |
87 |
< |
TString name; |
88 |
< |
gMinuit->mnpout(4*i, name, N, err, lo, hi, iuint); |
89 |
< |
gMinuit->mnpout(4*i + 1, name, mu_x, err, lo, hi, iuint); |
90 |
< |
gMinuit->mnpout(4*i + 2, name, mu_y, err, lo, hi, iuint); |
91 |
< |
gMinuit->mnpout(4*i + 3, name, sig, err, lo, hi, iuint); |
92 |
< |
for (int j = 0; j < i; j++) { |
93 |
< |
double N2, mu_x2, mu_y2, sig2; |
94 |
< |
gMinuit->mnpout(4*j, name, N2, err, lo, hi, iuint); |
95 |
< |
gMinuit->mnpout(4*j + 1, name, mu_x2, err, lo, hi, iuint); |
96 |
< |
gMinuit->mnpout(4*j + 2, name, mu_y2, err, lo, hi, iuint); |
97 |
< |
gMinuit->mnpout(4*j + 3, name, sig2, err, lo, hi, iuint); |
98 |
< |
double _dist_sq = (mu_x2 - mu_x)*(mu_x2 - mu_x) |
99 |
< |
+ (mu_y2 - mu_y)*(mu_y2 - mu_y); |
100 |
< |
if (_dist_sq < dist_sq) |
101 |
< |
dist_sq = _dist_sq; |
102 |
< |
} |
103 |
< |
|
104 |
< |
jet j; |
105 |
< |
j.energy = N; |
106 |
< |
j.eta = mu_x; j.phi = mu_y; |
107 |
< |
unique_jets[hist][ngauss-1].push_back(j); |
108 |
< |
} |
109 |
< |
} |
110 |
< |
|
111 |
< |
virtual void beginJob(const edm::EventSetup&); |
112 |
< |
virtual TH2D* make_histo(const edm::Event&, const edm::EventSetup&); |
74 |
> |
virtual void beginJob(const edm::EventSetup &es); |
75 |
> |
virtual TH2D * make_histo(const edm::Event &, const edm::EventSetup &); |
76 |
|
virtual jetfit::model_def& make_model_def(const edm::Event&, |
77 |
|
const edm::EventSetup&, |
78 |
|
TH2 *); |
79 |
|
virtual void analyze_results(jetfit::results r, |
80 |
|
std::vector<jetfit::trouble> t, TH2 *); |
81 |
|
vector<reco::Candidate *> get_particles(const edm::Event&); |
119 |
– |
void fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>&, |
120 |
– |
const edm::InputTag&, const edm::Event&) const; |
121 |
– |
void fetchCandidateCollection(edm::Handle<reco::GenParticleCollection>&, |
122 |
– |
const edm::InputTag&, const edm::Event&) const; |
82 |
|
|
83 |
|
fstream ofs; |
84 |
|
edm::InputTag inputTagPFCandidates_; |
87 |
|
double smear_; |
88 |
|
int smear_coord_; |
89 |
|
string jet_algo_; |
90 |
+ |
string reclustered_jet_algo_; |
91 |
|
}; |
92 |
|
|
93 |
|
map<TH2 *, vector< vector< JetFinderAnalyzer::jet > > > |
110 |
|
// 0 = eta-phi smear |
111 |
|
// 1 = proper angle smear |
112 |
|
jet_algo_ = pSet.getParameter<string>("jet_algo"); |
113 |
< |
set_user_minuit(jetfinder); |
154 |
< |
} |
155 |
< |
|
156 |
< |
void |
157 |
< |
JetFinderAnalyzer::fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>& c, |
158 |
< |
const edm::InputTag& tag, |
159 |
< |
const edm::Event& iEvent) const { |
160 |
< |
|
161 |
< |
bool found = iEvent.getByLabel(tag, c); |
162 |
< |
|
163 |
< |
if(!found ) { |
164 |
< |
ostringstream err; |
165 |
< |
err<<" cannot get PFCandidates: " |
166 |
< |
<<tag<<endl; |
167 |
< |
edm::LogError("PFCandidates")<<err.str(); |
168 |
< |
throw cms::Exception( "MissingProduct", err.str()); |
169 |
< |
} |
170 |
< |
|
171 |
< |
} |
172 |
< |
|
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 |
< |
// fill unreduced histo |
192 |
< |
edm::Handle<reco::GenParticleCollection> hRaw; |
193 |
< |
edm::Handle<reco::PFCandidateCollection> hPFlow; |
194 |
< |
if (info_type_ == 0) { |
195 |
< |
fetchCandidateCollection(hRaw, |
196 |
< |
inputTagGenParticles_, |
197 |
< |
evt); |
198 |
< |
} |
199 |
< |
if (info_type_ == 1) { |
200 |
< |
fetchCandidateCollection(hPFlow, |
201 |
< |
inputTagPFCandidates_, |
202 |
< |
evt); |
203 |
< |
} |
204 |
< |
|
205 |
< |
vector<reco::Candidate *> particles; |
206 |
< |
|
207 |
< |
switch (info_type_) { |
208 |
< |
case 0: |
209 |
< |
for (unsigned i = 0; i < hRaw->size(); i++) { |
210 |
< |
if ((*hRaw)[i].status() == 1) { |
211 |
< |
particles.push_back((reco::Candidate *)&((*hRaw)[i])); |
212 |
< |
} |
213 |
< |
} |
214 |
< |
break; |
215 |
< |
case 1: |
216 |
< |
for (unsigned i = 0; i < hPFlow->size(); i++) { |
217 |
< |
particles.push_back((reco::Candidate *)&((*hPFlow)[i])); |
218 |
< |
} |
219 |
< |
break; |
220 |
< |
default: |
221 |
< |
cerr << "Unknown event type" << endl; // TODO use MessageLogger |
222 |
< |
} |
223 |
< |
|
224 |
< |
return particles; |
113 |
> |
set_user_minuit(0); // we don't need this feature--it's deprecated |
114 |
|
} |
115 |
|
|
116 |
|
TH2D * JetFinderAnalyzer::make_histo(const edm::Event &evt, const edm::EventSetup&) { |
117 |
< |
const reco::Jet * highest_e_jet; |
117 |
> |
const reco::Jet * highest_e_jet = 0; |
118 |
|
|
119 |
|
if (info_type_ == 0) { |
120 |
|
edm::Handle< vector<reco::GenJet> > evtJets; |
121 |
|
evt.getByLabel(jet_algo_, evtJets); |
122 |
|
for (unsigned i = 0; i < evtJets->size(); i++) { |
123 |
< |
if (i == 0 || (*evtJets)[i].energy() > highest_e_jet->energy()) { |
123 |
> |
if (highest_e_jet == 0 |
124 |
> |
|| (*evtJets)[i].energy() > highest_e_jet->energy()) { |
125 |
|
highest_e_jet = &((*evtJets)[i]); |
126 |
|
} |
127 |
|
} |
130 |
|
edm::Handle< vector<reco::PFJet> > evtJets; |
131 |
|
evt.getByLabel(jet_algo_, evtJets); |
132 |
|
for (unsigned i = 0; i < evtJets->size(); i++) { |
133 |
< |
if (i == 0 || (*evtJets)[i].energy() > highest_e_jet->energy()) { |
133 |
> |
if (highest_e_jet == 0 |
134 |
> |
|| (*evtJets)[i].energy() > highest_e_jet->energy()) { |
135 |
|
highest_e_jet = &((*evtJets)[i]); |
136 |
|
} |
137 |
|
} |
138 |
|
} |
248 |
– |
cout << "found highest e jet" << endl; |
139 |
|
|
140 |
|
if (highest_e_jet == 0) { |
141 |
< |
cerr << "No fatjets found!" << endl; exit(1); |
141 |
> |
cerr << "No fat jets found!" << endl; |
142 |
> |
return 0; |
143 |
|
} |
144 |
|
|
145 |
|
vector<const reco::Candidate *> particles = |
146 |
|
highest_e_jet->getJetConstituentsQuick(); |
147 |
< |
cout << "found highest e jet" << endl; |
257 |
< |
|
147 |
> |
|
148 |
|
ostringstream oss; |
149 |
|
oss << "eta_phi_energy"<<evt.id().event() << flush; |
150 |
< |
TH2D *histo = new TH2D(oss.str().c_str(), oss.str().c_str(), |
150 |
> |
edm::Service<TFileService> fs; |
151 |
> |
TH2D *histo = fs->make<TH2D>(oss.str().c_str(), oss.str().c_str(), |
152 |
|
30, |
153 |
|
highest_e_jet->eta()-0.5, |
154 |
|
highest_e_jet->eta()+0.5, |
156 |
|
highest_e_jet->phi()-0.5, |
157 |
|
highest_e_jet->phi()+0.5); |
158 |
|
|
159 |
< |
for (int i = 0; i < particles.size(); i++) { |
269 |
< |
histo->Fill(particles[i]->eta(), |
270 |
< |
particles[i]->phi(), |
271 |
< |
particles[i]->energy()); |
272 |
< |
} |
273 |
< |
|
159 |
> |
if (smear_ > 0.0) { |
160 |
|
// create a smeared histo |
161 |
|
// create a temporary 2D vector for smeared energies |
162 |
|
double XbinSize = (histo->GetXaxis()->GetXmax() |
166 |
|
- histo->GetYaxis()->GetXmin()) / |
167 |
|
static_cast<double>(histo->GetYaxis()->GetNbins()); |
168 |
|
double Xlo = histo->GetXaxis()->GetXmin(); |
169 |
+ |
double Xhi = histo->GetXaxis()->GetXmax(); |
170 |
|
double Ylo = histo->GetYaxis()->GetXmin(); |
171 |
+ |
double Yhi = histo->GetYaxis()->GetXmax(); |
172 |
|
vector< vector<double> > smeared(30, vector<double>(30, 0.0) ); |
173 |
|
switch (smear_coord_) { |
174 |
|
case 1: |
176 |
|
double N = particles[i]->energy(); |
177 |
|
double x = particles[i]->eta(); |
178 |
|
double y = particles[i]->phi(); |
179 |
+ |
if (y < Ylo) { |
180 |
+ |
y += 2.0*PI; |
181 |
+ |
} |
182 |
+ |
if (y > Yhi) { |
183 |
+ |
y -= 2.0*PI; |
184 |
+ |
} |
185 |
|
// loop over bins and add Gaussian in proper angle to smeared |
186 |
|
for (vector< vector<double> >::size_type i2 = 0; i2 < 30; i2++) { |
187 |
|
for (vector< double >::size_type j2 = 0; j2 < 30; j2++) { |
188 |
|
double eta = static_cast<double>((signed int)i2) * XbinSize + |
189 |
< |
Xlo; |
190 |
< |
double phi0 = static_cast<double>((signed int)j2) * YbinSize + |
191 |
< |
Ylo; |
192 |
< |
double phi = acos(cos(phi0)); |
299 |
< |
phi = sin(phi0) > 0 ? phi : -phi; |
300 |
< |
|
189 |
> |
Xlo - x; |
190 |
> |
double phi = static_cast<double>((signed int)j2) * YbinSize + |
191 |
> |
Ylo - y; |
192 |
> |
|
193 |
|
// transform eta, phi to proper angle |
194 |
|
double theta = 2.0*atan(exp(-eta)); |
195 |
|
double iota = asin(sin(theta)*sin(phi)); |
196 |
|
|
197 |
|
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
198 |
|
* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_)); |
307 |
– |
|
308 |
– |
// correct for out-of-range phi |
309 |
– |
double transform = 0.0; |
310 |
– |
if (histo->GetYaxis()->GetXmin() < -PI) { |
311 |
– |
transform = -2.0*PI; |
312 |
– |
phi += transform; |
313 |
– |
iota = asin(sin(theta)*sin(phi)); |
314 |
– |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
315 |
– |
* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_)); |
316 |
– |
} |
317 |
– |
if (histo->GetYaxis()->GetXmax() > PI) { |
318 |
– |
transform = 2.0*PI; |
319 |
– |
phi += transform; |
320 |
– |
iota = asin(sin(theta)*sin(phi)); |
321 |
– |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
322 |
– |
* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_)); |
323 |
– |
} |
199 |
|
} |
200 |
|
} |
201 |
|
} |
206 |
|
double N = particles[i]->energy(); |
207 |
|
double x = particles[i]->eta(); |
208 |
|
double y = particles[i]->phi(); |
209 |
+ |
if (y < Ylo) { |
210 |
+ |
y += 2.0*PI; |
211 |
+ |
} |
212 |
+ |
if (y > Yhi) { |
213 |
+ |
y -= 2.0*PI; |
214 |
+ |
} |
215 |
|
// loop over bins and add Gaussian to smeared |
216 |
|
for (vector< vector<double> >::size_type i2 = 0; i2 < 30; i2++) { |
217 |
|
for (vector< double >::size_type j2 = 0; j2 < 30; j2++) { |
218 |
|
double eta = static_cast<double>((signed int)i2) * XbinSize |
219 |
< |
+ Xlo; |
220 |
< |
double phi0 = static_cast<double>((signed int)j2) * YbinSize + |
221 |
< |
Ylo; |
341 |
< |
double phi = acos(cos(phi0)); |
342 |
< |
phi = sin(phi0) > 0 ? phi : -phi; |
343 |
< |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
344 |
< |
* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_)); |
219 |
> |
+ Xlo - x; |
220 |
> |
double phi = static_cast<double>((signed int)j2) * YbinSize + |
221 |
> |
Ylo - y; |
222 |
|
|
223 |
< |
// correct for out-of-range phi |
347 |
< |
double transform = 0.0; |
348 |
< |
if (histo->GetYaxis()->GetXmin() < -PI) { |
349 |
< |
transform = -2.0*PI; |
350 |
< |
phi += transform; |
351 |
< |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
352 |
< |
* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_)); |
353 |
< |
} |
354 |
< |
if (histo->GetYaxis()->GetXmax() > PI) { |
355 |
< |
transform = 2.0*PI; |
356 |
< |
phi += transform; |
357 |
< |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
223 |
> |
smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_)) |
224 |
|
* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_)); |
359 |
– |
} |
225 |
|
} |
226 |
|
} |
227 |
|
} |
232 |
|
histo->SetBinContent(i, j, smeared[i-1][j-1]); |
233 |
|
} |
234 |
|
} |
235 |
+ |
} |
236 |
+ |
else { |
237 |
+ |
// don't smear--just fill with particles |
238 |
+ |
for (int i = 0; i < particles.size(); i++) { |
239 |
+ |
histo->Fill(particles[i]->eta(), particles[i]->phi(), |
240 |
+ |
particles[i]->energy()); |
241 |
+ |
} |
242 |
+ |
} |
243 |
|
|
244 |
|
return histo; |
245 |
|
} |
246 |
|
|
247 |
|
template <class Jet> |
248 |
|
void seed_with_jetcoll(vector<Jet> jets, |
249 |
< |
jetfit::model_def &_mdef) { |
249 |
> |
jetfit::model_def &_mdef, double phi_lo = -PI, |
250 |
> |
double phi_hi = PI) { |
251 |
|
// seed with jet collection |
252 |
|
int ijset = 0; |
253 |
|
for (unsigned ij = 0; ij < jets.size(); ij++) { |
259 |
|
0.0, 1.0e6); |
260 |
|
_mdef.set_special_par(ijset, 1, eta, 0.01, |
261 |
|
0.0, 0.0); |
262 |
< |
double mdef_phi = phi > PI ? phi - 2*PI |
263 |
< |
: phi; |
264 |
< |
_mdef.set_special_par(ijset, 2, mdef_phi, 0.01, |
262 |
> |
if (phi < phi_lo) { |
263 |
> |
phi += 2.0*PI; |
264 |
> |
} |
265 |
> |
if (phi > phi_hi) { |
266 |
> |
phi -= 2.0*PI; |
267 |
> |
} |
268 |
> |
_mdef.set_special_par(ijset, 2, phi, 0.01, |
269 |
|
0.0, 0.0); |
270 |
|
_mdef.set_special_par(ijset, 3, 0.1, 0.001, 0.0, 0.0); |
271 |
|
ijset++; |
279 |
|
class jf_model_def : public jetfit::model_def { |
280 |
|
public: |
281 |
|
virtual double chisquare_error(double E) { |
282 |
< |
return exp(-(4.2 + 0.11*E)); |
405 |
< |
// study from 09-04-09 |
282 |
> |
return 0.298 - 0.9557*E; // study 11-09-09 |
283 |
|
} |
284 |
|
}; |
285 |
|
|
305 |
|
if (!found_jet || (*jet_collection)[i].energy() > highest_e_jet.energy()) |
306 |
|
{ |
307 |
|
highest_e_jet = (*jet_collection)[i]; |
308 |
+ |
found_jet = true; |
309 |
|
} |
310 |
|
} |
311 |
|
vector<reco::GenJet> highest_e_jet_coll; |
312 |
|
highest_e_jet_coll.push_back(highest_e_jet); |
313 |
< |
seed_with_jetcoll(highest_e_jet_coll, *_mdef); |
313 |
> |
seed_with_jetcoll(highest_e_jet_coll, *_mdef, |
314 |
> |
histo->GetYaxis()->GetXmin(), |
315 |
> |
histo->GetYaxis()->GetXmax()); |
316 |
|
} |
317 |
|
if (info_type_ == 1) { |
318 |
|
edm::Handle< vector<reco::PFJet> > jet_collection; |
323 |
|
if (!found_jet || (*jet_collection)[i].energy() > highest_e_jet.energy()) |
324 |
|
{ |
325 |
|
highest_e_jet = (*jet_collection)[i]; |
326 |
+ |
found_jet = true; |
327 |
|
} |
328 |
|
} |
329 |
|
vector<reco::PFJet> highest_e_jet_coll; |
330 |
|
highest_e_jet_coll.push_back(highest_e_jet); |
331 |
< |
seed_with_jetcoll(highest_e_jet_coll, *_mdef); |
331 |
> |
seed_with_jetcoll(highest_e_jet_coll, *_mdef, |
332 |
> |
histo->GetYaxis()->GetXmin(), |
333 |
> |
histo->GetYaxis()->GetXmax()); |
334 |
|
} |
335 |
|
|
336 |
|
jetfit::set_model_def(_mdef); |
358 |
|
double Ylo = histo->GetYaxis()->GetXmin(); |
359 |
|
double Yhi = histo->GetYaxis()->GetXmax(); |
360 |
|
|
361 |
< |
for (int i = 0; i < 60; i++) { |
362 |
< |
for (int j = 0; j < 60; j++) { |
361 |
> |
for (int i = 0; i < 30; i++) { |
362 |
> |
for (int j = 0; j < 30; j++) { |
363 |
|
double x = (static_cast<double>(i) + 0.5)*XbinSize + Xlo; |
364 |
|
double y = (static_cast<double>(j) + 0.5)*YbinSize + Ylo; |
365 |
|
double pval[256]; |
486 |
|
hist_orig->GetYaxis()->GetNbins(), |
487 |
|
hist_orig->GetYaxis()->GetXmin(), |
488 |
|
hist_orig->GetYaxis()->GetXmax()); |
489 |
< |
TH1 *tf2_histo = tf2->CreateHistogram(); |
490 |
< |
double XbinSize = (fit_histo->GetXaxis()->GetXmax() |
491 |
< |
- fit_histo->GetXaxis()->GetXmin()) |
492 |
< |
/ static_cast<double>(fit_histo->GetXaxis()->GetNbins()); |
493 |
< |
double YbinSize = (fit_histo->GetYaxis()->GetXmax() |
494 |
< |
- fit_histo->GetYaxis()->GetXmin()) |
495 |
< |
/ static_cast<double>(fit_histo->GetYaxis()->GetNbins()); |
496 |
< |
for (int ih = 0; ih < tf2->GetNpx(); ih++) { |
497 |
< |
for (int jh = 0; jh < tf2->GetNpy(); jh++) { |
498 |
< |
fit_histo->SetBinContent(ih+1, jh+1, |
499 |
< |
tf2_histo->GetBinContent(ih+1, jh+1) |
500 |
< |
* XbinSize * YbinSize); |
489 |
> |
double XbinSize = (hist_orig->GetXaxis()->GetXmax() |
490 |
> |
- hist_orig->GetXaxis()->GetXmin()) |
491 |
> |
/ hist_orig->GetXaxis()->GetNbins(); |
492 |
> |
double YbinSize = (hist_orig->GetYaxis()->GetXmax() |
493 |
> |
- hist_orig->GetYaxis()->GetXmin()) |
494 |
> |
/ hist_orig->GetYaxis()->GetNbins(); |
495 |
> |
for (int i = 1; i <= fit_histo->GetXaxis()->GetNbins(); i++) { |
496 |
> |
for (int j = 1; j <= fit_histo->GetYaxis()->GetNbins(); j++) { |
497 |
> |
double x = static_cast<double>(i - 1) |
498 |
> |
* (fit_histo->GetXaxis()->GetXmax() |
499 |
> |
- fit_histo->GetXaxis()->GetXmin()) |
500 |
> |
/ static_cast<double>(fit_histo->GetXaxis()->GetNbins()) |
501 |
> |
+ fit_histo->GetXaxis()->GetXmin();; |
502 |
> |
double y = static_cast<double>(j - 1) |
503 |
> |
* (fit_histo->GetYaxis()->GetXmax() |
504 |
> |
- fit_histo->GetYaxis()->GetXmin()) |
505 |
> |
/ static_cast<double>(fit_histo->GetYaxis()->GetNbins()) |
506 |
> |
+ fit_histo->GetYaxis()->GetXmin(); |
507 |
> |
fit_histo->SetBinContent(i, j, tf2->Eval(x, y) * XbinSize * YbinSize); |
508 |
|
} |
509 |
|
} |
510 |
|
} |