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Comparing UserCode/JetFitAnalyzer/test/JetFinderAnalyzer.cc (file contents):
Revision 1.13 by dnisson, Wed Sep 23 03:13:07 2009 UTC vs.
Revision 1.27 by dnisson, Fri Jan 22 23:53:10 2010 UTC

#	Line 1 | Line 1
1	<	/* A simple jet-finding analyzer */
1	>	/* A JetFitAnalyzer that makes histograms with smearing */
2
3		#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h"
4
5	–	#include "fastjet/ClusterSequence.hh"
5		#include "FWCore/ServiceRegistry/interface/Service.h"
6		#include "FWCore/MessageLogger/interface/MessageLogger.h"
7		#include "PhysicsTools/UtilAlgos/interface/TFileService.h"
8
9	<	#include "DataFormats/HepMCCandidate/interface/GenParticleFwd.h"
11	<	#include "DataFormats/HepMCCandidate/interface/GenParticle.h"
12	<	#include "DataFormats/ParticleFlowCandidate/interface/PFCandidateFwd.h"
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 <fstream>
9	>	#include <iostream>
10		#include <sstream>
11
30	–	#include "TFormula.h"
12		#include "TF2.h"
13	+	#include "TNtuple.h"
14
15		#define PI 3.141593
16
17		using namespace std;
36	–	using namespace fastjet;
18
19		class JetFinderAnalyzer : public JetFitAnalyzer {
20		public:
40	–	struct jet {
41	–	double energy;
42	–	double eta;
43	–	double phi;
44	–	};
45	–
21		explicit JetFinderAnalyzer( const edm::ParameterSet&);
22		~JetFinderAnalyzer() {}
23
24		private:
25	<	static map<TH2 *, vector< vector<jet> > > unique_jets;
26	<
27	<	static double phi_cutoff_;
53	<
54	<	static double g2int(double xlo, double xhi, double ylo, double yhi,
55	<	double *pval) {
56	<	double sum1 = 0.0;
57	<	double sum2 = 0.0;
58	<	double xmid = 0.5 * (xlo + xhi);
59	<	double ymid = 0.5 * (ylo + yhi);
60	<	double xstep = (xhi - xlo) / 50.0;
61	<	double ystep = (yhi - ylo) / 50.0;
62	<	for (int i = 0; i < 50; i++) {
63	<	double x = (static_cast<double>(i) + 0.5) * xstep + xlo;
64	<	sum1 += xstep * jetfit::fit_fcn(x, ymid, pval);
65	<	}
66	<	for (int i = 0; i < 50; i++) {
67	<	double y = (static_cast<double>(i) + 0.5) * ystep + ylo;
68	<	sum2 += ystep * jetfit::fit_fcn(xmid, y, pval);
69	<	}
70	<	return sum1 * sum2;
71	<	}
72	<
73	<	static void jetfinder(TMinuit *gMinuit, TH2 *hist, int ngauss) {
74	<	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&);
113	<	virtual jetfit::model_def& make_model_def(const edm::Event&,
114	<	const edm::EventSetup&,
115	<	TH2 *);
116	<	virtual void analyze_results(jetfit::results r,
117	<	std::vector<jetfit::trouble> t, TH2 *);
118	<	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;
123	<
124	<	fstream ofs;
125	<	edm::InputTag inputTagPFCandidates_;
126	<	edm::InputTag inputTagGenParticles_;
127	<	int info_type_;
128	<	double smear_;
129	<	int smear_coord_;
130	<	string jet_algo_;
25	>	virtual void beginJob(const edm::EventSetup &es);
26	>	virtual void analyze_results(HistoFitter::FitResults, std::vector<HistoFitter::Trouble>,
27	>	TH2 *);
28		};
29
133	–	map<TH2 *, vector< vector< JetFinderAnalyzer::jet > > >
134	–	JetFinderAnalyzer::unique_jets;
135	–
30		JetFinderAnalyzer::JetFinderAnalyzer(const edm::ParameterSet &pSet)
31		: JetFitAnalyzer(pSet) // this is important!
32		{
139	–	info_type_ = pSet.getUntrackedParameter("info_type", 0);
140	–
141	–	if (info_type_ == 0) {
142	–	inputTagGenParticles_ = pSet.getParameter<edm::InputTag>("GenParticles");
143	–	}
144	–	if (info_type_ == 1) {
145	–	inputTagPFCandidates_ = pSet.getParameter<edm::InputTag>("PFCandidates");
146	–	}
147	–
148	–	smear_ = pSet.getUntrackedParameter("smear", 0.02);
149	–	smear_coord_ = pSet.getUntrackedParameter("smear_coord", 0);
150	–	// 0 = eta-phi smear
151	–	// 1 = proper angle smear
152	–	jet_algo_ = pSet.getParameter<string>("jet_algo");
153	–	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;
225	–	}
226	–
227	–	TH2D * JetFinderAnalyzer::make_histo(const edm::Event &evt, const edm::EventSetup&) {
228	–	const reco::Jet * highest_e_jet;
229	–
230	–	if (info_type_ == 0) {
231	–	edm::Handle< vector<reco::GenJet> > evtJets;
232	–	evt.getByLabel(jet_algo_, evtJets);
233	–	for (unsigned i = 0; i < evtJets->size(); i++) {
234	–	if (i == 0 || (*evtJets)[i].energy() > highest_e_jet->energy()) {
235	–	highest_e_jet = &((*evtJets)[i]);
236	–	}
237	–	}
238	–	}
239	–	else if (info_type_ == 1) {
240	–	edm::Handle< vector<reco::PFJet> > evtJets;
241	–	evt.getByLabel(jet_algo_, evtJets);
242	–	for (unsigned i = 0; i < evtJets->size(); i++) {
243	–	if (i == 0 || (*evtJets)[i].energy() > highest_e_jet->energy()) {
244	–	highest_e_jet = &((*evtJets)[i]);
245	–	}
246	–	}
247	–	}
248	–
249	–	if (highest_e_jet == 0) {
250	–	cerr << "No fatjets found!" << endl; exit(1);
251	–	}
252	–
253	–	vector<const reco::Candidate *> particles =
254	–	highest_e_jet->getJetConstituentsQuick();
255	–	//  cout << "found highest e jet" << endl;
256	–
257	–	ostringstream oss;
258	–	oss << "eta_phi_energy"<<evt.id().event() << flush;
259	–	TH2D *histo = new TH2D(oss.str().c_str(), oss.str().c_str(),
260	–	600,
261	–	highest_e_jet->eta()-0.5,
262	–	highest_e_jet->eta()+0.5,
263	–	600,
264	–	highest_e_jet->phi()-0.5,
265	–	highest_e_jet->phi()+0.5);
266	–
267	–	for (int i = 0; i < particles.size(); i++) {
268	–	histo->Fill(particles[i]->eta(),
269	–	particles[i]->phi(),
270	–	particles[i]->energy());
271	–	}
272	–
273	–	// create a smeared histo
274	–	// create a temporary 2D vector for smeared energies
275	–	double XbinSize = (histo->GetXaxis()->GetXmax()
276	–	- histo->GetXaxis()->GetXmin()) /
277	–	static_cast<double>(histo->GetXaxis()->GetNbins());
278	–	double YbinSize = (histo->GetYaxis()->GetXmax()
279	–	- histo->GetYaxis()->GetXmin()) /
280	–	static_cast<double>(histo->GetYaxis()->GetNbins());
281	–	double Xlo = histo->GetXaxis()->GetXmin();
282	–	double Ylo = histo->GetYaxis()->GetXmin();
283	–	vector< vector<double> > smeared(60, vector<double>(60, 0.0) );
284	–	switch (smear_coord_) {
285	–	case 1:
286	–	for (int i = 0; i < particles.size(); i++) {
287	–	double N = particles[i]->energy();
288	–	double x = particles[i]->eta();
289	–	double y = particles[i]->phi();
290	–	// loop over bins and add Gaussian in proper angle to smeared
291	–	for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
292	–	for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
293	–	double eta = static_cast<double>((signed int)i2) * XbinSize +
294	–	Xlo;
295	–	double phi0 = static_cast<double>((signed int)j2) * YbinSize +
296	–	Ylo;
297	–	double phi = acos(cos(phi0));
298	–	phi = sin(phi0) > 0 ? phi : -phi;
299	–
300	–	// transform eta, phi to proper angle
301	–	double theta = 2.0*atan(exp(-eta));
302	–	double iota = asin(sin(theta)*sin(phi));
303	–
304	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
305	–	* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
306	–
307	–	// correct for out-of-range phi
308	–	double transform = 0.0;
309	–	if (histo->GetYaxis()->GetXmin() < -PI) {
310	–	transform = -2.0*PI;
311	–	phi += transform;
312	–	iota = asin(sin(theta)*sin(phi));
313	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
314	–	* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
315	–	}
316	–	if (histo->GetYaxis()->GetXmax() > PI) {
317	–	transform = 2.0*PI;
318	–	phi += transform;
319	–	iota = asin(sin(theta)*sin(phi));
320	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
321	–	* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
322	–	}
323	–	}
324	–	}
325	–	}
326	–	break;
327	–	case 0:
328	–	default:
329	–	for (int i = 0; i < particles.size(); i++) {
330	–	double N = particles[i]->energy();
331	–	double x = particles[i]->eta();
332	–	double y = particles[i]->phi();
333	–	// loop over bins and add Gaussian to smeared
334	–	for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
335	–	for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
336	–	double eta = static_cast<double>((signed int)i2) * XbinSize
337	–	+ Xlo;
338	–	double phi0 = static_cast<double>((signed int)j2) * YbinSize +
339	–	Ylo;
340	–	double phi = acos(cos(phi0));
341	–	phi = sin(phi0) > 0 ? phi : -phi;
342	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
343	–	* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
344	–
345	–	// correct for out-of-range phi
346	–	double transform = 0.0;
347	–	if (histo->GetYaxis()->GetXmin() < -PI) {
348	–	transform = -2.0*PI;
349	–	phi += transform;
350	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
351	–	* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
352	–	}
353	–	if (histo->GetYaxis()->GetXmax() > PI) {
354	–	transform = 2.0*PI;
355	–	phi += transform;
356	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
357	–	* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
358	–	}
359	–	}
360	–	}
361	–	}
362	–	}
363	–	// set histogram to match smear vector
364	–	for (int i = 1; i <= 60; i++) {
365	–	for (int j = 1; j <= 60; j++) {
366	–	histo->SetBinContent(i, j, smeared[i-1][j-1]);
367	–	}
368	–	}
369	–
370	–	return histo;
371	–	}
372	–
373	–	template <class Jet>
374	–	void seed_with_jetcoll(vector<Jet> jets,
375	–	jetfit::model_def &_mdef) {
376	–	// seed with jet collection
377	–	int ijset = 0;
378	–	for (unsigned ij = 0; ij < jets.size(); ij++) {
379	–	double N = jets[ij].energy();
380	–	double eta = jets[ij].eta();
381	–	double phi = jets[ij].phi();
382	–	if (N > 10.0) {
383	–	_mdef.set_special_par(ijset, 0, N, _mdef.chisquare_error(N)*0.1,
384	–	0.0, 1.0e6);
385	–	_mdef.set_special_par(ijset, 1, eta, 0.01,
386	–	0.0, 0.0);
387	–	double mdef_phi = phi > PI ? phi - 2*PI
388	–	: phi;
389	–	_mdef.set_special_par(ijset, 2, mdef_phi, 0.01,
390	–	0.0, 0.0);
391	–	_mdef.set_special_par(ijset, 3, 0.1, 0.001, 0.0, 0.0);
392	–	ijset++;
393	–	}
394	–	}
395	–	}
396	–
397	–	jetfit::model_def& JetFinderAnalyzer::make_model_def(const edm::Event& evt,
398	–	const edm::EventSetup&,
399	–	TH2 *histo) {
400	–	class jf_model_def : public jetfit::model_def {
401	–	public:
402	–	virtual double chisquare_error(double E) {
403	–	return exp(-(4.2 + 0.11*E));
404	–	// study from 09-04-09
405	–	}
406	–	};
407	–
408	–	jf_model_def *_mdef = new jf_model_def();
409	–	TFormula *formula = new TFormula("gaus2d",
410	–	"[0]*exp(-0.5*((x-[1])**2 + (y-[2])**2)/([3]**2))/(2*pi*[3]**2)");
411	–	_mdef->set_formula(formula);
412	–	_mdef->set_indiv_max_E(0);
413	–	_mdef->set_indiv_max_x(1);
414	–	_mdef->set_indiv_max_y(2);
415	–	_mdef->set_indiv_par(0, string("N"), 0.0, 0.0, 0.0, 1.0e6);
416	–	_mdef->set_indiv_par(1, string("mu_x"), 0.0, 0.0, 0.0, 0.0);
417	–	_mdef->set_indiv_par(2, string("mu_y"), 0.0, 0.0, 0.0, 0.0);
418	–	_mdef->set_indiv_par(3, string("sig"), 0.1, 0.001, 0.0, 0.0);
419	–
420	–	// get jetcoll from event file and select highest e jet
421	–	if (info_type_ == 0) {
422	–	edm::Handle< vector<reco::GenJet> > jet_collection;
423	–	evt.getByLabel(jet_algo_, jet_collection);
424	–	reco::GenJet highest_e_jet;
425	–	bool found_jet = false;
426	–	for (unsigned i = 0; i < jet_collection->size(); i++) {
427	–	if (!found_jet || (*jet_collection)[i].energy() > highest_e_jet.energy())
428	–	{
429	–	highest_e_jet = (*jet_collection)[i];
430	–	}
431	–	}
432	–	vector<reco::GenJet> highest_e_jet_coll;
433	–	highest_e_jet_coll.push_back(highest_e_jet);
434	–	seed_with_jetcoll(highest_e_jet_coll, *_mdef);
435	–	}
436	–	if (info_type_ == 1) {
437	–	edm::Handle< vector<reco::PFJet> > jet_collection;
438	–	evt.getByLabel(jet_algo_, jet_collection);
439	–	reco::PFJet highest_e_jet;
440	–	bool found_jet = false;
441	–	for (unsigned i = 0; i < jet_collection->size(); i++) {
442	–	if (!found_jet || (*jet_collection)[i].energy() > highest_e_jet.energy())
443	–	{
444	–	highest_e_jet = (*jet_collection)[i];
445	–	}
446	–	}
447	–	vector<reco::PFJet> highest_e_jet_coll;
448	–	highest_e_jet_coll.push_back(highest_e_jet);
449	–	seed_with_jetcoll(highest_e_jet_coll, *_mdef);
450	–	}
451	–
452	–	jetfit::set_model_def(_mdef);
453	–
454	–	// generate initial fit histogram
455	–	edm::Service<TFileService> fs;
456	–	TH2D *init_fit_histo = fs->make<TH2D>(("init_fit_"+string(histo->GetName()))
457	–	.c_str(),
458	–	("Initial fit for "
459	–	+string(histo->GetName())).c_str(),
460	–	histo->GetXaxis()->GetNbins(),
461	–	histo->GetXaxis()->GetXmin(),
462	–	histo->GetXaxis()->GetXmax(),
463	–	histo->GetXaxis()->GetNbins(),
464	–	histo->GetXaxis()->GetXmin(),
465	–	histo->GetXaxis()->GetXmax());
466	–	double XbinSize = (histo->GetXaxis()->GetXmax()
467	–	- histo->GetXaxis()->GetXmin()) /
468	–	static_cast<double>(histo->GetXaxis()->GetNbins());
469	–	double YbinSize = (histo->GetYaxis()->GetXmax()
470	–	- histo->GetYaxis()->GetXmin()) /
471	–	static_cast<double>(histo->GetYaxis()->GetNbins());
472	–	double Xlo = histo->GetXaxis()->GetXmin();
473	–	double Xhi = histo->GetXaxis()->GetXmax();
474	–	double Ylo = histo->GetYaxis()->GetXmin();
475	–	double Yhi = histo->GetYaxis()->GetXmax();
476	–
477	–	for (int i = 0; i < 60; i++) {
478	–	for (int j = 0; j < 60; j++) {
479	–	double x = (static_cast<double>(i) + 0.5)*XbinSize + Xlo;
480	–	double y = (static_cast<double>(j) + 0.5)*YbinSize + Ylo;
481	–	double pval[256];
482	–	if (_mdef->get_n_special_par_sets() > 64) {
483	–	cerr << "Parameter overload" << endl;
484	–	return *_mdef;
485	–	}
486	–	else {
487	–	for (int is = 0; is < _mdef->get_n_special_par_sets(); is++) {
488	–	for (int ii = 0; ii < 4; ii++) {
489	–	double spval, sperr, splo, sphi;
490	–	_mdef->get_special_par(is, ii, spval, sperr, splo, sphi);
491	–	pval[4*is + ii] = spval;
492	–	}
493	–	}
494	–	}
495	–	jetfit::set_ngauss(_mdef->get_n_special_par_sets());
496	–	init_fit_histo->SetBinContent(i+1, j+1,
497	–	jetfit::fit_fcn(x, y, pval)
498	–	* XbinSize * YbinSize);
499	–	}
500	–	}
501	–
502	–	return *_mdef;
33		}
34
35		void JetFinderAnalyzer::beginJob(const edm::EventSetup &es) {
506	–	ofs.open("jetfindlog.txt", ios::out);
507	–	if (ofs.fail()) {
508	–	cerr << "Opening jetfindlog.txt FAILED" << endl;
509	–	}
510	–	ofs << "Jetfinder log" << endl
511	–	<< "=============" << endl << endl;
512	–	}
513	–
514	–	ostream& operator<<(ostream &out, jetfit::trouble t) {
515	–	string action, error_string;
516	–
517	–	if (t.istat != 3) {
518	–	switch(t.occ) {
519	–	case jetfit::T_NULL:
520	–	action = "Program"; break;
521	–	case jetfit::T_SIMPLEX:
522	–	action = "SIMPLEX"; break;
523	–	case jetfit::T_MIGRAD:
524	–	action = "MIGRAD"; break;
525	–	case jetfit::T_MINOS:
526	–	action = "MINOS"; break;
527	–	default:
528	–	action = "Program"; break;
529	–	}
36
37	<	switch (t.istat) {
532	<	case 0:
533	<	error_string = "Unable to calculate error matrix"; break;
534	<	case 1:
535	<	error_string = "Error matrix a diagonal approximation"; break;
536	<	case 2:
537	<	error_string = "Error matrix not positive definite"; break;
538	<	case 3:
539	<	error_string = "Converged successfully"; break;
540	<	default:
541	<	ostringstream oss;
542	<	oss<<"Unknown status code "<<t.istat << flush;
543	<	error_string = oss.str(); break;
544	<	}
37	>	}
38
39	<	if (t.occ != jetfit::T_NULL)
40	<	out << action<<" trouble: "<<error_string;
41	<	else
42	<	out << "Not calculated" << endl;
43	<	}
44	<	else {
45	<	out << "Error matrix accurate" << endl;
39	>	double evalFitFunction(HistoFitter::FitResults r, double x, double y) {
40	>	unsigned nFits = r.pars.size();
41	>	unsigned nGauss = r.pars[nFits-1].size() / 4;
42	>	double fitVal = 0.0;
43	>	for (unsigned i = 0; i < nGauss; i++) {
44	>	double N = r.pval[nFits-1][4*i];
45	>	double mu_x = r.pval[nFits-1][4*i + 1];
46	>	double mu_y = r.pval[nFits-1][4*i + 2];
47	>	double sig = r.pval[nFits-1][4*i + 3];
48	>
49	>	double rel_x = x - mu_x; double rel_y = y - mu_y;
50	>	fitVal += (N / 2.0 / M_PI / sig / sig)
51	>	* exp(-(rel_x * rel_x + rel_y * rel_y)/2.0/sig/sig);
52		}
53	<
555	<	return out;
53	>	return fitVal;
54		}
55
56	<	void JetFinderAnalyzer::analyze_results(jetfit::results r,
57	<	std::vector<jetfit::trouble> t,
56	>	void JetFinderAnalyzer::analyze_results(HistoFitter::FitResults r,
57	>	std::vector<HistoFitter::Trouble> t,
58		TH2 *hist_orig) {
59	<	ofs << "Histogram "<<hist_orig->GetName() << endl;
562	<	for (int i = unique_jets[hist_orig].size() - r.chisquare.size();
563	<	i < unique_jets[hist_orig].size(); i++) {
564	<	int ir = i - unique_jets[hist_orig].size() + r.chisquare.size();
565	<	ofs << "For "<<i+1<<" gaussians: " << endl
566	<	<< t.at(i) << endl;
567	<	ofs << "chisquare="<<r.chisquare.at(ir)
568	<	<< endl;
569	<	ofs << 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
59	>	// perform analysis of fit results
60		edm::Service<TFileService> fs;
61	<	for (vector< vector<double> >::size_type i = 0;
62	<	i < r.pval.size(); i++) {
63	<	jetfit::set_ngauss(r.pval[i].size() / 4);
64	<	TF2 *tf2 = new TF2("fit_func", jetfit::fit_fcn_TF2,
65	<	hist_orig->GetXaxis()->GetXmin(),
66	<	hist_orig->GetXaxis()->GetXmax(),
67	<	hist_orig->GetYaxis()->GetXmin(),
68	<	hist_orig->GetYaxis()->GetXmax(),
69	<	r.pval[i].size());
70	<	for (vector<double>::size_type j = 0; j < r.pval[i].size(); j++) {
71	<	tf2->SetParameter(j, r.pval[i][j]);
72	<	}
73	<	ostringstream fit_histo_oss;
74	<	fit_histo_oss << hist_orig->GetName()<<"_fit_"<<i << flush;
75	<	tf2->SetNpx(hist_orig->GetXaxis()->GetNbins());
76	<	tf2->SetNpy(hist_orig->GetYaxis()->GetNbins());
77	<	TH2D *fit_histo = fs->make<TH2D>(fit_histo_oss.str().c_str(),
78	<	fit_histo_oss.str().c_str(),
79	<	hist_orig->GetXaxis()->GetNbins(),
80	<	hist_orig->GetXaxis()->GetXmin(),
81	<	hist_orig->GetXaxis()->GetXmax(),
82	<	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	<	}
61	>	TH2D *fitHisto = fs->make<TH2D>((std::string(hist_orig->GetName())+"_fit").c_str(),
62	>	("Fitted distribution to "
63	>	+std::string(hist_orig->GetName())).c_str(),
64	>	hist_orig->GetNbinsX(),
65	>	hist_orig->GetXaxis()->GetXmin(),
66	>	hist_orig->GetXaxis()->GetXmax(),
67	>	hist_orig->GetNbinsY(),
68	>	hist_orig->GetYaxis()->GetXmin(),
69	>	hist_orig->GetYaxis()->GetXmax());
70	>
71	>	double Xlo = fitHisto->GetXaxis()->GetXmin();
72	>	double Xhi = fitHisto->GetXaxis()->GetXmax();
73	>	double Ylo = fitHisto->GetYaxis()->GetXmin();
74	>	double Yhi = fitHisto->GetYaxis()->GetXmax();
75	>	double XbinSize = (Xhi - Xlo) / static_cast<double>(fitHisto->GetNbinsX());
76	>	double YbinSize = (Yhi - Ylo) / static_cast<double>(fitHisto->GetNbinsY());
77	>
78	>	for (int i = 1; i <= fitHisto->GetNbinsX(); i++) {
79	>	for (int j = 1; j <= fitHisto->GetNbinsY(); j++) {
80	>	double x = (static_cast<double>(i) - 0.5) * XbinSize + Xlo;
81	>	double y = (static_cast<double>(j) - 0.5) * YbinSize + Ylo;
82	>	fitHisto->SetBinContent(i, j, evalFitFunction(r, x, y) * XbinSize * YbinSize);
83		}
84		}
85
86	<	// save results to file
87	<	ostringstream res_tree_oss, rt_title_oss;
88	<	res_tree_oss << hist_orig->GetName()<<"_results" << flush;
89	<	rt_title_oss << "Fit results for "<<hist_orig->GetName() << flush;
86	>	// save fit results to an ntuple
87	>	TNtuple *rNtuple = fs->make<TNtuple>((std::string(hist_orig->GetName())+"_results").c_str(),
88	>	("Fit results for "+std::string(hist_orig->GetName())).c_str(),
89	>	"N:mu_x:mu_y:sigma");
90	>	unsigned nFits = r.pval.size();
91	>	unsigned nGauss = r.pval[nFits-1].size() / 4;
92	>	for (unsigned i = 0; i < nGauss; i++) {
93	>	rNtuple->Fill(r.pval[nFits-1][4*i], r.pval[nFits-1][4*i+1], r.pval[nFits-1][4*i+2],
94	>	r.pval[nFits-1][4*i+3]);
95	>	}
96	>
97	>	// save chisquares to ntuple
98	>	for (unsigned i = 0; i < r.chisquare.size(); i++) {
99	>	ostringstream csNtupleName, csNtupleTitle;
100	>	csNtupleName << hist_orig->GetName() << "_chi2_" << i << flush;
101	>	csNtupleTitle << "Chisquare "<<i<<" for histo "<<hist_orig->GetName()
102	>	<< flush;
103	>	TNtuple *csNtuple = fs->make<TNtuple>(csNtupleName.str().c_str(),
104	>	csNtupleTitle.str().c_str(),
105	>	"chisq");
106	>	csNtuple->Fill(r.chisquare[i]);
107	>	}
108		}
109
110		DEFINE_FWK_MODULE(JetFinderAnalyzer);

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