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Comparing UserCode/JetFitAnalyzer/test/JetFinderAnalyzer.cc (file contents):
Revision 1.8 by dnisson, Fri Sep 4 20:07:04 2009 UTC vs.
Revision 1.23 by dnisson, Thu Nov 26 21:06:02 2009 UTC

#	Line 13 | Line 13
13		#include "DataFormats/ParticleFlowCandidate/interface/PFCandidate.h"
14		#include "DataFormats/ParticleFlowReco/interface/PFBlock.h"
15
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		#include <map>
23		#include <vector>
24		#include <limits>
25		#include <cmath>
26		#include <cstdlib>
27	+	#include <iostream>
28		#include <fstream>
29		#include <sstream>
30
#	Line 31 | Line 38 | using namespace fastjet;
38
39		class JetFinderAnalyzer : public JetFitAnalyzer {
40		public:
34	–	struct jet {
35	–	double energy;
36	–	double eta;
37	–	double phi;
38	–	};
39	–
41		explicit JetFinderAnalyzer( const edm::ParameterSet&);
42		~JetFinderAnalyzer() {}
43
44		private:
45	<	static map<TH2 *, vector< vector<jet> > > unique_jets;
46	<
47	<	static double phi_cutoff_;
47	<
48	<	static double g2int(double xlo, double xhi, double ylo, double yhi,
49	<	double *pval) {
50	<	double sum1 = 0.0;
51	<	double sum2 = 0.0;
52	<	double xmid = 0.5 * (xlo + xhi);
53	<	double ymid = 0.5 * (ylo + yhi);
54	<	double xstep = (xhi - xlo) / 50.0;
55	<	double ystep = (yhi - ylo) / 50.0;
56	<	for (int i = 0; i < 50; i++) {
57	<	double x = (static_cast<double>(i) + 0.5) * xstep + xlo;
58	<	sum1 += xstep * jetfit::fit_fcn(x, ymid, pval);
59	<	}
60	<	for (int i = 0; i < 50; i++) {
61	<	double y = (static_cast<double>(i) + 0.5) * ystep + ylo;
62	<	sum2 += ystep * jetfit::fit_fcn(xmid, y, pval);
63	<	}
64	<	return sum1 * sum2;
65	<	}
66	<
67	<	static void jetfinder(TMinuit *gMinuit, TH2 *hist, int ngauss) {
68	<	double dist_sq = numeric_limits<double>::infinity();
69	<	unique_jets[hist].resize(ngauss);
70	<	int nbinsX = hist->GetXaxis()->GetNbins();
71	<	int nbinsY = hist->GetYaxis()->GetNbins();
72	<	double XbinSize = (hist->GetXaxis()->GetXmax()
73	<	- hist->GetXaxis()->GetXmin())
74	<	/ static_cast<double>(nbinsX);
75	<	double YbinSize = (hist->GetYaxis()->GetXmax()
76	<	- hist->GetYaxis()->GetXmin())
77	<	/ static_cast<double>(nbinsY);
78	<	for (int i = 0; i < ngauss; i++) {
79	<	double N, mu_x, mu_y, sig, err, lo, hi;
80	<	int iuint;
81	<	TString name;
82	<	gMinuit->mnpout(4*i, name, N, err, lo, hi, iuint);
83	<	gMinuit->mnpout(4*i + 1, name, mu_x, err, lo, hi, iuint);
84	<	gMinuit->mnpout(4*i + 2, name, mu_y, err, lo, hi, iuint);
85	<	gMinuit->mnpout(4*i + 3, name, sig, err, lo, hi, iuint);
86	<	for (int j = 0; j < i; j++) {
87	<	double N2, mu_x2, mu_y2, sig2;
88	<	gMinuit->mnpout(4*j, name, N2, err, lo, hi, iuint);
89	<	gMinuit->mnpout(4*j + 1, name, mu_x2, err, lo, hi, iuint);
90	<	gMinuit->mnpout(4*j + 2, name, mu_y2, err, lo, hi, iuint);
91	<	gMinuit->mnpout(4*j + 3, name, sig2, err, lo, hi, iuint);
92	<	double _dist_sq = (mu_x2 - mu_x)*(mu_x2 - mu_x)
93	<	+ (mu_y2 - mu_y)*(mu_y2 - mu_y);
94	<	if (_dist_sq < dist_sq)
95	<	dist_sq = _dist_sq;
96	<	}
97	<
98	<	jet j;
99	<	j.energy = N;
100	<	j.eta = mu_x; j.phi = mu_y;
101	<	unique_jets[hist][ngauss-1].push_back(j);
102	<	}
103	<	}
104	<
105	<	virtual void beginJob(const edm::EventSetup&);
106	<	virtual TH2D* make_histo(const edm::Event&, const edm::EventSetup&);
107	<	virtual jetfit::model_def& make_model_def(const edm::Event&,
45	>	virtual void beginJob(const edm::EventSetup &es);
46	>	virtual TH2D * make_histo(const edm::Event &, const edm::EventSetup &);
47	>	virtual HistoFitter::ModelDefinition& make_model_def(const edm::Event&,
48		const edm::EventSetup&,
49		TH2 *);
50	<	virtual void analyze_results(jetfit::results r,
51	<	std::vector<jetfit::trouble> t, TH2 *);
50	>	virtual void analyze_results(HistoFitter::FitResults r,
51	>	std::vector<HistoFitter::Trouble> t, TH2 *);
52		vector<reco::Candidate *> get_particles(const edm::Event&);
113	–	void fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>&,
114	–	const edm::InputTag&, const edm::Event&) const;
115	–	void fetchCandidateCollection(edm::Handle<reco::GenParticleCollection>&,
116	–	const edm::InputTag&, const edm::Event&) const;
53
54		fstream ofs;
55		edm::InputTag inputTagPFCandidates_;
#	Line 121 | Line 57 | private:
57		int info_type_;
58		double smear_;
59		int smear_coord_;
60	+	string jet_algo_;
61	+	string reclustered_jet_algo_;
62		};
63
126	–	map<TH2 *, vector< vector< JetFinderAnalyzer::jet > > >
127	–	JetFinderAnalyzer::unique_jets;
128	–
64		JetFinderAnalyzer::JetFinderAnalyzer(const edm::ParameterSet &pSet)
65		: JetFitAnalyzer(pSet) // this is important!
66		{
#	Line 142 | Line 77 | JetFinderAnalyzer::JetFinderAnalyzer(con
77		smear_coord_ = pSet.getUntrackedParameter("smear_coord", 0);
78		// 0 = eta-phi smear
79		// 1 = proper angle smear
80	<	set_user_minuit(jetfinder);
80	>	jet_algo_ = pSet.getParameter<string>("jet_algo");
81		}
82
83	<	void
84	<	JetFinderAnalyzer::fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>& c,
150	<	const edm::InputTag& tag,
151	<	const edm::Event& iEvent) const {
152	<
153	<	bool found = iEvent.getByLabel(tag, c);
154	<
155	<	if(!found ) {
156	<	ostringstream  err;
157	<	err<<" cannot get PFCandidates: "
158	<	<<tag<<endl;
159	<	edm::LogError("PFCandidates")<<err.str();
160	<	throw cms::Exception( "MissingProduct", err.str());
161	<	}
162	<
163	<	}
164	<
165	<	void
166	<	JetFinderAnalyzer::fetchCandidateCollection(edm::Handle<reco::GenParticleCollection>& c,
167	<	const edm::InputTag& tag,
168	<	const edm::Event& iEvent) const {
169	<
170	<	bool found = iEvent.getByLabel(tag, c);
171	<
172	<	if(!found ) {
173	<	ostringstream  err;
174	<	err<<" cannot get GenParticles: "
175	<	<<tag<<endl;
176	<	edm::LogError("GenParticles")<<err.str();
177	<	throw cms::Exception( "MissingProduct", err.str());
178	<	}
179	<
180	<	}
83	>	TH2D * JetFinderAnalyzer::make_histo(const edm::Event &evt, const edm::EventSetup&) {
84	>	const reco::Jet * highest_e_jet = 0;
85
182	–	vector<reco::Candidate *> JetFinderAnalyzer::get_particles(const edm::Event &evt) {
183	–	// fill unreduced histo
184	–	edm::Handle<reco::GenParticleCollection> hRaw;
185	–	edm::Handle<reco::PFCandidateCollection> hPFlow;
86		if (info_type_ == 0) {
87	<	fetchCandidateCollection(hRaw,
88	<	inputTagGenParticles_,
89	<	evt);
90	<	}
91	<	if (info_type_ == 1) {
92	<	fetchCandidateCollection(hPFlow,
193	<	inputTagPFCandidates_,
194	<	evt);
195	<	}
196	<
197	<	vector<reco::Candidate *> particles;
198	<
199	<	switch (info_type_) {
200	<	case 0:
201	<	for (unsigned i = 0; i < hRaw->size(); i++) {
202	<	if ((*hRaw)[i].status() == 1) {
203	<	particles.push_back((reco::Candidate *)&((*hRaw)[i]));
87	>	edm::Handle< vector<reco::GenJet> > evtJets;
88	>	evt.getByLabel(jet_algo_, evtJets);
89	>	for (unsigned i = 0; i < evtJets->size(); i++) {
90	>	if (highest_e_jet == 0
91	>	|| (*evtJets)[i].energy() > highest_e_jet->energy()) {
92	>	highest_e_jet = &((*evtJets)[i]);
93		}
94		}
206	–	break;
207	–	case 1:
208	–	for (unsigned i = 0; i < hPFlow->size(); i++) {
209	–	particles.push_back((reco::Candidate *)&((*hPFlow)[i]));
210	–	}
211	–	break;
212	–	default:
213	–	cerr << "Unknown event type" << endl; // TODO use MessageLogger
214	–	}
215	–
216	–	return particles;
217	–	}
218	–
219	–	TH2D * JetFinderAnalyzer::make_histo(const edm::Event &evt, const edm::EventSetup&) {
220	–	ostringstream oss;
221	–	oss << "eta_phi_energy_unred"<<evt.id().event() << flush;
222	–	TH2D *unred_histo = new TH2D(oss.str().c_str(), oss.str().c_str(),
223	–	600, -2.5, 2.5, 600, -PI, PI);
224	–
225	–	vector<reco::Candidate *> particles = get_particles(evt);
226	–	for (int i = 0; i < particles.size(); i++) {
227	–	unred_histo->Fill(particles[i]->eta(),
228	–	particles[i]->phi(),
229	–	particles[i]->energy());
95		}
96	<
97	<	// reduce histo
98	<	ostringstream oss2;
99	<	oss2 << "eta_phi_energy_red"<<evt.id().event() << flush;
100	<	edm::Service<TFileService> fs;
101	<	// draw cone of radius 0.5 around highest energy bin, reduce
102	<	double maxE = 0.0;
238	<	int max_i = 29, max_j = 29;
239	<	for (int i = 0; i < unred_histo->GetNbinsX(); i++) {
240	<	for (int j = 0; j < unred_histo->GetNbinsY(); j++) {
241	<	double E = unred_histo->GetBinContent(i+1, j+1);
242	<	if (E > maxE) {
243	<	maxE = E;
244	<	max_i = i;
245	<	max_j = j;
96	>	else if (info_type_ == 1) {
97	>	edm::Handle< vector<reco::PFJet> > evtJets;
98	>	evt.getByLabel(jet_algo_, evtJets);
99	>	for (unsigned i = 0; i < evtJets->size(); i++) {
100	>	if (highest_e_jet == 0
101	>	|| (*evtJets)[i].energy() > highest_e_jet->energy()) {
102	>	highest_e_jet = &((*evtJets)[i]);
103		}
104		}
105		}
106	<
107	<	double rcone = 0.5;
108	<	double Xlo = unred_histo->GetXaxis()->GetXmin();
109	<	double Xhi = unred_histo->GetXaxis()->GetXmax();
253	<	double Ylo = unred_histo->GetYaxis()->GetXmin();
254	<	double Yhi = unred_histo->GetYaxis()->GetXmax();
255	<	double XbinSize = (Xhi - Xlo) /
256	<	static_cast<double>(unred_histo->GetXaxis()->GetNbins());
257	<	double YbinSize = (Yhi - Ylo) /
258	<	static_cast<double>(unred_histo->GetYaxis()->GetNbins());
259	<	double max_x = (static_cast<double>(max_i) + 0.5) * XbinSize + Xlo;
260	<	double max_y = (static_cast<double>(max_j) + 0.5) * YbinSize + Ylo;
261	<	TH2D *histo = fs->make<TH2D>(oss2.str().c_str(), oss2.str().c_str(),
262	<	60, max_x-rcone, max_x+rcone,
263	<	60, max_y-rcone, max_y+rcone);
264	<
265	<	// create an unsmeared reduced histo
266	<	TH2D *histo_unsmeared = fs->make<TH2D>((oss2.str()+"_unsmeared").c_str(),
267	<	(oss2.str()+"_unsmeared").c_str(),
268	<	60, max_x-rcone, max_x+rcone,
269	<	60, max_y-rcone, max_y+rcone);
270	<	for (int i = 0; i < particles.size(); i++) {
271	<	double N = particles[i]->energy();
272	<	double x = particles[i]->eta();
273	<	double y = particles[i]->phi();
274	<	histo_unsmeared->Fill(x, y, N);
106	>
107	>	if (highest_e_jet == 0) {
108	>	cerr << "No fat jets found!" << endl;
109	>	return 0;
110		}
111
112	<	// create a smeared reduced histo
112	>	vector<const reco::Candidate *> particles =
113	>	highest_e_jet->getJetConstituentsQuick();
114	>
115	>	ostringstream oss;
116	>	oss << "eta_phi_energy"<<evt.id().event() << flush;
117	>	edm::Service<TFileService> fs;
118	>	TH2D *histo = fs->make<TH2D>(oss.str().c_str(), oss.str().c_str(),
119	>	30,
120	>	highest_e_jet->eta()-0.5,
121	>	highest_e_jet->eta()+0.5,
122	>	30,
123	>	highest_e_jet->phi()-0.5,
124	>	highest_e_jet->phi()+0.5);
125	>
126	>	if (smear_ > 0.0) {
127	>	// create a smeared histo
128		// create a temporary 2D vector for smeared energies
129	<	XbinSize = (histo->GetXaxis()->GetXmax()
129	>	double XbinSize = (histo->GetXaxis()->GetXmax()
130		- histo->GetXaxis()->GetXmin()) /
131		static_cast<double>(histo->GetXaxis()->GetNbins());
132	<	YbinSize = (histo->GetYaxis()->GetXmax()
132	>	double YbinSize = (histo->GetYaxis()->GetXmax()
133		- histo->GetYaxis()->GetXmin()) /
134		static_cast<double>(histo->GetYaxis()->GetNbins());
135	<	vector< vector<double> > smeared(60, vector<double>(60, 0.0) );
135	>	double Xlo = histo->GetXaxis()->GetXmin();
136	>	double Xhi = histo->GetXaxis()->GetXmax();
137	>	double Ylo = histo->GetYaxis()->GetXmin();
138	>	double Yhi = histo->GetYaxis()->GetXmax();
139	>	vector< vector<double> > smeared(30, vector<double>(30, 0.0) );
140		switch (smear_coord_) {
141		case 1:
142		for (int i = 0; i < particles.size(); i++) {
143		double N = particles[i]->energy();
144		double x = particles[i]->eta();
145		double y = particles[i]->phi();
146	+	if (y < Ylo) {
147	+	y += 2.0*PI;
148	+	}
149	+	if (y > Yhi) {
150	+	y -= 2.0*PI;
151	+	}
152		// loop over bins and add Gaussian in proper angle to smeared
153	<	for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
154	<	for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
153	>	for (vector< vector<double> >::size_type i2 = 0; i2 < 30; i2++) {
154	>	for (vector< double >::size_type j2 = 0; j2 < 30; j2++) {
155		double eta = static_cast<double>((signed int)i2) * XbinSize +
156	<	max_x - rcone - x;
157	<	double phi0 = static_cast<double>((signed int)j2) * YbinSize +
158	<	max_y - rcone - y;
159	<	double phi = acos(cos(phi0));
300	<	phi = sin(phi0) > 0 ? phi : -phi;
301	<
156	>	Xlo - x;
157	>	double phi = static_cast<double>((signed int)j2) * YbinSize +
158	>	Ylo - y;
159	>
160		// transform eta, phi to proper angle
161		double theta = 2.0*atan(exp(-eta));
162		double iota = asin(sin(theta)*sin(phi));
163
164		smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
165		* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
308	–
309	–	// correct for out-of-range phi
310	–	double transform = 0.0;
311	–	if (histo->GetYaxis()->GetXmin() < -PI) {
312	–	transform = -2.0*PI;
313	–	phi += transform;
314	–	iota = asin(sin(theta)*sin(phi));
315	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
316	–	* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
317	–	}
318	–	if (histo->GetYaxis()->GetXmax() > PI) {
319	–	transform = 2.0*PI;
320	–	phi += transform;
321	–	iota = asin(sin(theta)*sin(phi));
322	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
323	–	* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
324	–	}
166		}
167		}
168		}
#	Line 332 | Line 173 | TH2D * JetFinderAnalyzer::make_histo(con
173		double N = particles[i]->energy();
174		double x = particles[i]->eta();
175		double y = particles[i]->phi();
176	+	if (y < Ylo) {
177	+	y += 2.0*PI;
178	+	}
179	+	if (y > Yhi) {
180	+	y -= 2.0*PI;
181	+	}
182		// loop over bins and add Gaussian to smeared
183	<	for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
184	<	for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
183	>	for (vector< vector<double> >::size_type i2 = 0; i2 < 30; i2++) {
184	>	for (vector< double >::size_type j2 = 0; j2 < 30; j2++) {
185		double eta = static_cast<double>((signed int)i2) * XbinSize
186	<	+ max_x - rcone - x;
187	<	double phi0 = static_cast<double>((signed int)j2) * YbinSize +
188	<	max_y - rcone - y;
342	<	double phi = acos(cos(phi0));
343	<	phi = sin(phi0) > 0 ? phi : -phi;
344	<	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
345	<	* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
186	>	+ Xlo - x;
187	>	double phi = static_cast<double>((signed int)j2) * YbinSize +
188	>	Ylo - y;
189
190	<	// correct for out-of-range phi
348	<	double transform = 0.0;
349	<	if (histo->GetYaxis()->GetXmin() < -PI) {
350	<	transform = -2.0*PI;
351	<	phi += transform;
352	<	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
353	<	* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
354	<	}
355	<	if (histo->GetYaxis()->GetXmax() > PI) {
356	<	transform = 2.0*PI;
357	<	phi += transform;
358	<	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
190	>	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
191		* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
360	–	}
192		}
193		}
194		}
195		}
196		// set histogram to match smear vector
197	<	for (int i = 1; i <= 60; i++) {
198	<	for (int j = 1; j <= 60; j++) {
197	>	for (int i = 1; i <= 30; i++) {
198	>	for (int j = 1; j <= 30; j++) {
199		histo->SetBinContent(i, j, smeared[i-1][j-1]);
200		}
201		}
202	<
203	<	return histo;
204	<	}
205	<
206	<	void seed_with_CA(vector<reco::Candidate *> gParticles, TH2 *histo,
207	<	jetfit::model_def &_mdef) {
377	<	// create a PseudoJet vector
378	<	vector<PseudoJet> particles;
379	<	for (unsigned i = 0; i < gParticles.size(); i++) {
380	<	double x_max = (histo->GetXaxis()->GetXmax()
381	<	+ histo->GetXaxis()->GetXmin()) / 2.0;
382	<	double y_max = (histo->GetYaxis()->GetXmax()
383	<	+ histo->GetYaxis()->GetXmin()) / 2.0;
384	<	valarray<double> pmom(4);
385	<	pmom[0] = gParticles[i]->px();
386	<	pmom[1] = gParticles[i]->py();
387	<	pmom[2] = gParticles[i]->pz();
388	<	pmom[3] = gParticles[i]->energy();
389	<	double eta = gParticles[i]->eta();
390	<	double phi = gParticles[i]->phi();
391	<	// phi range corrections
392	<	if (phi - y_max > 2.0*PI) phi -= 2.0*PI;
393	<	if (phi - y_max < -2.0*PI) phi += 2.0*PI;
394	<	if ((eta - x_max)*(eta - x_max) + (phi - y_max)*(phi - y_max) < 0.25) {
395	<	PseudoJet j(pmom);
396	<	particles.push_back(j);
202	>	}
203	>	else {
204	>	// don't smear--just fill with particles
205	>	for (int i = 0; i < particles.size(); i++) {
206	>	histo->Fill(particles[i]->eta(), particles[i]->phi(),
207	>	particles[i]->energy());
208		}
209		}
210
211	<	// choose a jet definition
212	<	double R = 0.2;
402	<	JetDefinition jet_def(cambridge_algorithm, R);
403	<
404	<	// run clustering and extract the jets
405	<	ClusterSequence cs(particles, jet_def);
406	<	vector<PseudoJet> jets = cs.inclusive_jets();
407	<
408	<	double XbinSize = (histo->GetXaxis()->GetXmax()
409	<	- histo->GetXaxis()->GetXmin()) /
410	<	static_cast<double>(histo->GetXaxis()->GetNbins());
411	<	double YbinSize = (histo->GetYaxis()->GetXmax()
412	<	- histo->GetYaxis()->GetXmin()) /
413	<	static_cast<double>(histo->GetYaxis()->GetNbins());
211	>	return histo;
212	>	}
213
214	<	// seed with C-A jets
215	<	int ijset = 0;
216	<	for (unsigned ij = 0; ij < jets.size(); ij++) {
217	<	double N = jets[ij].e();
218	<	if (N > 50.0) {
219	<	_mdef.set_special_par(ijset, 0, N, _mdef.chisquare_error(N)*0.1,
220	<	0.0, 1.0e6);
221	<	_mdef.set_special_par(ijset, 1, jets[ij].eta(), 0.01,
222	<	0.0, 0.0);
223	<	double mdef_phi = jets[ij].phi() > PI ? jets[ij].phi() - 2*PI
224	<	: jets[ij].phi();
225	<	_mdef.set_special_par(ijset, 2, mdef_phi, 0.01,
226	<	0.0, 0.0);
227	<	_mdef.set_special_par(ijset, 3, 0.1, 0.001, 0.0, 0.0);
228	<	ijset++;
229	<	}
230	<	}
214	>	template <class Jet>
215	>	void seed_with_jetcoll(vector<Jet> jets,
216	>	HistoFitter::ModelDefinition &_mdef, double phi_lo = -PI,
217	>	double phi_hi = PI) {
218	>	// seed with jet collection
219	>	double N = jets[0].energy();
220	>	double eta = jets[0].eta();
221	>	double phi = jets[0].phi();
222	>	_mdef.setIndivParameter(0, string("N0"), N, _mdef.chisquareSigma(N)*0.1,
223	>	0.0, 1.0e6);
224	>	_mdef.setIndivParameter(1, string("mu_x0"), eta, 0.01,
225	>	0.0, 0.0);
226	>	if (phi < phi_lo) {
227	>	phi += 2.0*PI;
228	>	}
229	>	if (phi > phi_hi) {
230	>	phi -= 2.0*PI;
231	>	}
232	>	_mdef.setIndivParameter(2, string("mu_y0"), phi, 0.01,
233	>	0.0, 0.0);
234	>	_mdef.setIndivParameter(3, string("sig0"), 0.1, 0.001, 0.0, 0.0);
235		}
236
237	<	jetfit::model_def& JetFinderAnalyzer::make_model_def(const edm::Event& evt,
237	>	HistoFitter::ModelDefinition& JetFinderAnalyzer::make_model_def(const edm::Event& evt,
238		const edm::EventSetup&,
239		TH2 *histo) {
240	<	class jf_model_def : public jetfit::model_def {
240	>	class jf_model_def : public HistoFitter::ModelDefinition {
241		public:
242	<	virtual double chisquare_error(double E) {
243	<	return exp(-(4.2 + 0.11*E));
441	<	// study from 09-04-09
242	>	virtual double chisquareSigma(double E) {
243	>	return 0.298 - 0.9557*E; // study 11-09-09
244		}
245		};
246
247		jf_model_def *_mdef = new jf_model_def();
248		TFormula *formula = new TFormula("gaus2d",
249		"[0]*exp(-0.5*((x-[1])**2 + (y-[2])**2)/([3]**2))/(2*pi*[3]**2)");
250	<	_mdef->set_formula(formula);
251	<	_mdef->set_indiv_max_E(0);
252	<	_mdef->set_indiv_max_x(1);
253	<	_mdef->set_indiv_max_y(2);
254	<	_mdef->set_indiv_par(0, string("N"), 0.0, 0.0, 0.0, 1.0e6);
255	<	_mdef->set_indiv_par(1, string("mu_x"), 0.0, 0.0, 0.0, 0.0);
256	<	_mdef->set_indiv_par(2, string("mu_y"), 0.0, 0.0, 0.0, 0.0);
257	<	_mdef->set_indiv_par(3, string("sig"), 0.1, 0.001, 0.0, 0.0);
250	>	_mdef->setFormula(formula);
251	>	_mdef->setIndivEnergy(0);
252	>	_mdef->setIndivMeanX(1);
253	>	_mdef->setIndivMeanY(2);
254	>	_mdef->setIndivParameter(0, string("N"), 0.0, 0.0, 0.0, 1.0e6);
255	>	_mdef->setIndivParameter(1, string("mu_x"), 0.0, 0.0, 0.0, 0.0);
256	>	_mdef->setIndivParameter(2, string("mu_y"), 0.0, 0.0, 0.0, 0.0);
257	>	_mdef->setIndivParameter(3, string("sig"), 0.1, 0.001, 0.0, 0.0);
258
259	<	seed_with_CA(get_particles(evt), histo, *_mdef);
458	<
459	<	jetfit::set_model_def(_mdef);
460	<
461	<	// generate initial fit histogram
462	<	edm::Service<TFileService> fs;
463	<	TH2D *init_fit_histo = fs->make<TH2D>(("init_fit_"+string(histo->GetName()))
464	<	.c_str(),
465	<	("Initial fit for "
466	<	+string(histo->GetName())).c_str(),
467	<	histo->GetXaxis()->GetNbins(),
468	<	histo->GetXaxis()->GetXmin(),
469	<	histo->GetXaxis()->GetXmax(),
470	<	histo->GetXaxis()->GetNbins(),
471	<	histo->GetXaxis()->GetXmin(),
472	<	histo->GetXaxis()->GetXmax());
473	<	double XbinSize = (histo->GetXaxis()->GetXmax()
474	<	- histo->GetXaxis()->GetXmin()) /
475	<	static_cast<double>(histo->GetXaxis()->GetNbins());
476	<	double YbinSize = (histo->GetYaxis()->GetXmax()
477	<	- histo->GetYaxis()->GetXmin()) /
478	<	static_cast<double>(histo->GetYaxis()->GetNbins());
479	<	double Xlo = histo->GetXaxis()->GetXmin();
480	<	double Xhi = histo->GetXaxis()->GetXmax();
481	<	double Ylo = histo->GetYaxis()->GetXmin();
482	<	double Yhi = histo->GetYaxis()->GetXmax();
259	>	_mdef->setMaxNumberOfGaussians(3);
260
261	<	for (int i = 0; i < 60; i++) {
262	<	for (int j = 0; j < 60; j++) {
263	<	double x = (static_cast<double>(i) + 0.5)*XbinSize + Xlo;
264	<	double y = (static_cast<double>(j) + 0.5)*YbinSize + Ylo;
265	<	double pval[256];
266	<	if (_mdef->get_n_special_par_sets() > 64) {
267	<	cerr << "Parameter overload" << endl;
268	<	return *_mdef;
269	<	}
270	<	else {
271	<	for (int is = 0; is < _mdef->get_n_special_par_sets(); is++) {
495	<	for (int ii = 0; ii < 4; ii++) {
496	<	double spval, sperr, splo, sphi;
497	<	_mdef->get_special_par(is, ii, spval, sperr, splo, sphi);
498	<	pval[4*is + ii] = spval;
499	<	}
261	>	// get jetcoll from event file and select highest e jet
262	>	if (info_type_ == 0) {
263	>	edm::Handle< vector<reco::GenJet> > jet_collection;
264	>	evt.getByLabel(jet_algo_, jet_collection);
265	>	reco::GenJet highest_e_jet;
266	>	bool found_jet = false;
267	>	for (unsigned i = 0; i < jet_collection->size(); i++) {
268	>	if (!found_jet || (*jet_collection)[i].energy() > highest_e_jet.energy())
269	>	{
270	>	highest_e_jet = (*jet_collection)[i];
271	>	found_jet = true;
272		}
501	–	}
502	–	jetfit::set_ngauss(_mdef->get_n_special_par_sets());
503	–	init_fit_histo->SetBinContent(i+1, j+1,
504	–	jetfit::fit_fcn(x, y, pval));
273		}
274	+	vector<reco::GenJet> highest_e_jet_coll;
275	+	highest_e_jet_coll.push_back(highest_e_jet);
276	+	seed_with_jetcoll(highest_e_jet_coll, *_mdef,
277	+	histo->GetYaxis()->GetXmin(),
278	+	histo->GetYaxis()->GetXmax());
279	+	}
280	+	if (info_type_ == 1) {
281	+	edm::Handle< vector<reco::PFJet> > jet_collection;
282	+	evt.getByLabel(jet_algo_, jet_collection);
283	+	reco::PFJet highest_e_jet;
284	+	bool found_jet = false;
285	+	for (unsigned i = 0; i < jet_collection->size(); i++) {
286	+	if (!found_jet || (*jet_collection)[i].energy() > highest_e_jet.energy())
287	+	{
288	+	highest_e_jet = (*jet_collection)[i];
289	+	found_jet = true;
290	+	}
291	+	}
292	+	vector<reco::PFJet> highest_e_jet_coll;
293	+	highest_e_jet_coll.push_back(highest_e_jet);
294	+	seed_with_jetcoll(highest_e_jet_coll, *_mdef,
295	+	histo->GetYaxis()->GetXmin(),
296	+	histo->GetYaxis()->GetXmax());
297		}
298
299		return *_mdef;
300		}
301
302		void JetFinderAnalyzer::beginJob(const edm::EventSetup &es) {
512	–	ofs.open("jetfindlog.txt", ios::out);
513	–	if (ofs.fail()) {
514	–	cerr << "Opening jetfindlog.txt FAILED" << endl;
515	–	}
516	–	ofs << "Jetfinder log" << endl
517	–	<< "=============" << endl << endl;
518	–	}
519	–
520	–	ostream& operator<<(ostream &out, jetfit::trouble t) {
521	–	string action, error_string;
522	–
523	–	if (t.istat != 3) {
524	–	switch(t.occ) {
525	–	case jetfit::T_NULL:
526	–	action = "Program"; break;
527	–	case jetfit::T_SIMPLEX:
528	–	action = "SIMPLEX"; break;
529	–	case jetfit::T_MIGRAD:
530	–	action = "MIGRAD"; break;
531	–	case jetfit::T_MINOS:
532	–	action = "MINOS"; break;
533	–	default:
534	–	action = "Program"; break;
535	–	}
536	–
537	–	switch (t.istat) {
538	–	case 0:
539	–	error_string = "Unable to calculate error matrix"; break;
540	–	case 1:
541	–	error_string = "Error matrix a diagonal approximation"; break;
542	–	case 2:
543	–	error_string = "Error matrix not positive definite"; break;
544	–	case 3:
545	–	error_string = "Converged successfully"; break;
546	–	default:
547	–	ostringstream oss;
548	–	oss<<"Unknown status code "<<t.istat << flush;
549	–	error_string = oss.str(); break;
550	–	}
303
552	–	if (t.occ != jetfit::T_NULL)
553	–	out << action<<" trouble: "<<error_string;
554	–	else
555	–	out << "Not calculated" << endl;
556	–	}
557	–
558	–	return out;
304		}
305
306	<	void JetFinderAnalyzer::analyze_results(jetfit::results r,
307	<	std::vector<jetfit::trouble> t,
306	>	void JetFinderAnalyzer::analyze_results(HistoFitter::FitResults r,
307	>	std::vector<HistoFitter::Trouble> t,
308		TH2 *hist_orig) {
309	<	ofs << "Histogram "<<hist_orig->GetName() << endl;
565	<	for (int i = 0; i < unique_jets[hist_orig].size(); i++) {
566	<	ofs << "For "<<i+1<<" gaussians: " << endl
567	<	<< t.at(i) << endl
568	<	<< "chisquare="<<r.chisquare.at(i) << endl
569	<	<< unique_jets[hist_orig][i].size()<<" unique jets found" << endl;
570	<	for (int j = 0; j < unique_jets[hist_orig][i].size(); j++) {
571	<	jet _jet = unique_jets[hist_orig][i][j];
572	<	ofs << "Jet "<<j<<": Energy = "<<_jet.energy<<", eta = "<<_jet.eta
573	<	<< ", phi = "<<_jet.phi << endl;
574	<	}
575	<	ofs << endl;
576	<	}
577	<	ofs << endl;
578	<
579	<	// save fit function histograms to root file
580	<	edm::Service<TFileService> fs;
581	<	for (vector< vector<double> >::size_type i = 0;
582	<	i < r.pval.size(); i++) {
583	<	jetfit::set_ngauss(r.pval[i].size() / 4);
584	<	TF2 *tf2 = new TF2("fit_func", jetfit::fit_fcn_TF2,
585	<	hist_orig->GetXaxis()->GetXmin(),
586	<	hist_orig->GetXaxis()->GetXmax(),
587	<	hist_orig->GetYaxis()->GetXmin(),
588	<	hist_orig->GetYaxis()->GetXmax(),
589	<	r.pval[i].size());
590	<	for (vector<double>::size_type j = 0; j < r.pval[i].size(); j++) {
591	<	tf2->SetParameter(j, r.pval[i][j]);
592	<	}
593	<	ostringstream fit_histo_oss;
594	<	fit_histo_oss << hist_orig->GetName()<<"_fit_"<<i << flush;
595	<	tf2->SetNpx(hist_orig->GetXaxis()->GetNbins());
596	<	tf2->SetNpy(hist_orig->GetYaxis()->GetNbins());
597	<	TH2D *fit_histo = fs->make<TH2D>(fit_histo_oss.str().c_str(),
598	<	fit_histo_oss.str().c_str(),
599	<	hist_orig->GetXaxis()->GetNbins(),
600	<	hist_orig->GetXaxis()->GetXmin(),
601	<	hist_orig->GetXaxis()->GetXmax(),
602	<	hist_orig->GetYaxis()->GetNbins(),
603	<	hist_orig->GetYaxis()->GetXmin(),
604	<	hist_orig->GetYaxis()->GetXmax());
605	<	TH1 *tf2_histo = tf2->CreateHistogram();
606	<	double XbinSize = (fit_histo->GetXaxis()->GetXmax()
607	<	- fit_histo->GetXaxis()->GetXmin())
608	<	/ static_cast<double>(fit_histo->GetXaxis()->GetNbins());
609	<	double YbinSize = (fit_histo->GetYaxis()->GetXmax()
610	<	- fit_histo->GetYaxis()->GetXmin())
611	<	/ static_cast<double>(fit_histo->GetYaxis()->GetNbins());
612	<	for (int ih = 0; ih < tf2->GetNpx(); ih++) {
613	<	for (int jh = 0; jh < tf2->GetNpy(); jh++) {
614	<	fit_histo->SetBinContent(ih+1, jh+1,
615	<	tf2_histo->GetBinContent(ih+1, jh+1)
616	<	* XbinSize * YbinSize);
617	<	}
618	<	}
619	<	}
620	<
621	<	// save results to file
622	<	ostringstream res_tree_oss, rt_title_oss;
623	<	res_tree_oss << hist_orig->GetName()<<"_results" << flush;
624	<	rt_title_oss << "Fit results for "<<hist_orig->GetName() << flush;
309	>	// perform analysis of fit results
310		}
311
312		DEFINE_FWK_MODULE(JetFinderAnalyzer);

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