ViewVC Help

View File | Revision Log | Show Annotations | Root Listing

root/cvsroot/UserCode/JetFitAnalyzer/test/JetFinderAnalyzer.cc

Comparing UserCode/JetFitAnalyzer/test/JetFinderAnalyzer.cc (file contents):
Revision 1.2 by dnisson, Thu Sep 3 18:00:45 2009 UTC vs.
Revision 1.29 by dnisson, Wed Apr 7 23:43:32 2010 UTC

#	Line 1 | Line 1
1	<	// TODO find why energies suddenly bigger
2	<	/* A simple jet-finding analyzer */
1	>	/* A JetFitAnalyze_hat makes histograms with smearing */
2
3		#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h"
4
6	–	#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	+	#include "DataFormats/JetReco/interface/Jet.h"
9
10	<	#include "SimDataFormats/HepMCProduct/interface/HepMCProduct.h"
12	<	#include "DataFormats/Candidate/interface/Particle.h"
13	<	#include "DataFormats/ParticleFlowCandidate/interface/PFCandidateFwd.h"
14	<	#include "DataFormats/ParticleFlowCandidate/interface/PFCandidate.h"
15	<	#include "DataFormats/ParticleFlowReco/interface/PFBlock.h"
16	<
17	<	#include <map>
18	<	#include <vector>
19	<	#include <limits>
20	<	#include <cmath>
21	<	#include <cstdlib>
22	<	#include <fstream>
10	>	#include <iostream>
11		#include <sstream>
12
25	–	#include "TFormula.h"
13		#include "TF2.h"
14	+	#include "TNtuple.h"
15	+	#include "TH1.h"
16
17	<	#define PI 3.141593
17	>	#define PI 3.141593
18
19		using namespace std;
31	–	using namespace fastjet;
32	–
33	–	// Class to represent a "generic" particle, whether raw or reconstructed
34	–	class GenericParticle {
35	–	public:
36	–	GenericParticle(double __px, double __py, double __pz, double __e,
37	–	double __charge = 0.0)
38	–	: _px(__px), _py(__py), _pz(__pz), _e(__e), _charge(__charge) {
39	–	}
40	–	GenericParticle(const HepMC::GenParticle &genParticle)
41	–	: _charge(0.0) {
42	–	_px = genParticle.momentum().px();
43	–	_py = genParticle.momentum().py();
44	–	_pz = genParticle.momentum().pz();
45	–	_e = genParticle.momentum().e();
46	–	}
47	–	GenericParticle(const reco::PFCandidate &pfCandidate)
48	–	: _charge(0.0) {
49	–	_px = pfCandidate.px();
50	–	_py = pfCandidate.py();
51	–	_pz = pfCandidate.pz();
52	–	_e = pfCandidate.energy();
53	–	}
54	–	double px() {
55	–	return _px;
56	–	}
57	–	double py() {
58	–	return _py;
59	–	}
60	–	double pz() {
61	–	return _pz;
62	–	}
63	–	double e() {
64	–	return _e;
65	–	}
66	–	double charge() {
67	–	return _charge;
68	–	}
69	–	double eta() {
70	–	double theta = acos(_pz/sqrt(_px*_px + _py*_py + _pz*_pz));
71	–	return -log(tan(theta*0.5));
72	–	}
73	–	double phi() {
74	–	double phi0 = acos(_px/sqrt(_px*_px + _py*_py));
75	–	return _py > 0.0 ? phi0 : -phi0;
76	–	}
77	–	double m() {
78	–	return sqrt(_e*_e - _px*_px - _py*_py - _pz*_pz);
79	–	}
80	–	private:
81	–	double _px;
82	–	double _py;
83	–	double _pz;
84	–	double _e;
85	–	double _charge;
86	–	};
20
21		class JetFinderAnalyzer : public JetFitAnalyzer {
22		public:
90	–	struct jet {
91	–	double energy;
92	–	double eta;
93	–	double phi;
94	–	};
95	–
23		explicit JetFinderAnalyzer( const edm::ParameterSet&);
24		~JetFinderAnalyzer() {}
25
26		private:
27	<	static map<TH2 *, vector< vector<jet> > > unique_jets;
28	<
29	<	static double phi_cutoff_;
103	<
104	<	static double g2int(double xlo, double xhi, double ylo, double yhi,
105	<	double *pval) {
106	<	double sum1 = 0.0;
107	<	double sum2 = 0.0;
108	<	double xmid = 0.5 * (xlo + xhi);
109	<	double ymid = 0.5 * (ylo + yhi);
110	<	double xstep = (xhi - xlo) / 50.0;
111	<	double ystep = (yhi - ylo) / 50.0;
112	<	for (int i = 0; i < 50; i++) {
113	<	double x = (static_cast<double>(i) + 0.5) * xstep + xlo;
114	<	sum1 += xstep * jetfit::fit_fcn(x, ymid, pval);
115	<	}
116	<	for (int i = 0; i < 50; i++) {
117	<	double y = (static_cast<double>(i) + 0.5) * ystep + ylo;
118	<	sum2 += ystep * jetfit::fit_fcn(xmid, y, pval);
119	<	}
120	<	return sum1 * sum2;
121	<	}
122	<
123	<	static void jetfinder(TMinuit *gMinuit, TH2 *hist, int ngauss) {
124	<	double dist_sq = numeric_limits<double>::infinity();
125	<	unique_jets[hist].resize(ngauss);
126	<	int nbinsX = hist->GetXaxis()->GetNbins();
127	<	int nbinsY = hist->GetYaxis()->GetNbins();
128	<	double XbinSize = (hist->GetXaxis()->GetXmax()
129	<	- hist->GetXaxis()->GetXmin())
130	<	/ static_cast<double>(nbinsX);
131	<	double YbinSize = (hist->GetYaxis()->GetXmax()
132	<	- hist->GetYaxis()->GetXmin())
133	<	/ static_cast<double>(nbinsY);
134	<	for (int i = 0; i < ngauss; i++) {
135	<	double N, mu_x, mu_y, sig, err, lo, hi;
136	<	int iuint;
137	<	TString name;
138	<	gMinuit->mnpout(4*i, name, N, err, lo, hi, iuint);
139	<	gMinuit->mnpout(4*i + 1, name, mu_x, err, lo, hi, iuint);
140	<	gMinuit->mnpout(4*i + 2, name, mu_y, err, lo, hi, iuint);
141	<	gMinuit->mnpout(4*i + 3, name, sig, err, lo, hi, iuint);
142	<	for (int j = 0; j < i; j++) {
143	<	double N2, mu_x2, mu_y2, sig2;
144	<	gMinuit->mnpout(4*j, name, N2, err, lo, hi, iuint);
145	<	gMinuit->mnpout(4*j + 1, name, mu_x2, err, lo, hi, iuint);
146	<	gMinuit->mnpout(4*j + 2, name, mu_y2, err, lo, hi, iuint);
147	<	gMinuit->mnpout(4*j + 3, name, sig2, err, lo, hi, iuint);
148	<	double _dist_sq = (mu_x2 - mu_x)*(mu_x2 - mu_x)
149	<	+ (mu_y2 - mu_y)*(mu_y2 - mu_y);
150	<	if (_dist_sq < dist_sq)
151	<	dist_sq = _dist_sq;
152	<	}
153	<
154	<	jet j;
155	<	j.energy = N;
156	<	j.eta = mu_x; j.phi = mu_y;
157	<	unique_jets[hist][ngauss-1].push_back(j);
158	<	}
159	<	}
27	>	virtual void beginJob(const edm::EventSetup &es);
28	>	virtual void analyze_results(HistoFitter::FitResults, std::vector<HistoFitter::Trouble>,
29	>	TH2 *);
30
31	<	virtual void beginJob(const edm::EventSetup&);
32	<	virtual TH2D* make_histo(const edm::Event&, const edm::EventSetup&);
163	<	virtual jetfit::model_def& make_model_def(const edm::Event&,
164	<	const edm::EventSetup&,
165	<	TH2 *);
166	<	virtual void analyze_results(jetfit::results r,
167	<	std::vector<jetfit::trouble> t, TH2 *);
168	<	vector<GenericParticle *> get_particles(const edm::Event&);
169	<	void fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>&,
170	<	const edm::InputTag&, const edm::Event&) const;
171	<
172	<	fstream ofs;
173	<	edm::InputTag inputTagPFCandidates_;
174	<	int info_type_;
175	<	double smear_;
176	<	int smear_coord_;
31	>	TH1D *pairMassHist;
32	>	TH1D *topMassHist;
33		};
34
179	–	map<TH2 *, vector< vector< JetFinderAnalyzer::jet > > >
180	–	JetFinderAnalyzer::unique_jets;
181	–
35		JetFinderAnalyzer::JetFinderAnalyzer(const edm::ParameterSet &pSet)
36		: JetFitAnalyzer(pSet) // this is important!
37		{
185	–	info_type_ = pSet.getUntrackedParameter("info_type", 0);
186	–
187	–	if (info_type_ == 1) {
188	–	inputTagPFCandidates_ = pSet.getParameter<edm::InputTag>("PFCandidates");
189	–	}
190	–
191	–	smear_ = pSet.getUntrackedParameter("smear", 0.02);
192	–	smear_coord_ = pSet.getUntrackedParameter("smear_coord", 0);
193	–	// 0 = eta-phi smear
194	–	// 1 = proper angle smear
195	–	set_user_minuit(jetfinder);
38		}
39
40	<	void
199	<	JetFinderAnalyzer::fetchCandidateCollection(edm::Handle<reco::PFCandidateCollection>& c,
200	<	const edm::InputTag& tag,
201	<	const edm::Event& iEvent) const {
202	<
203	<	bool found = iEvent.getByLabel(tag, c);
204	<
205	<	if(!found ) {
206	<	ostringstream  err;
207	<	err<<" cannot get PFCandidates: "
208	<	<<tag<<endl;
209	<	edm::LogError("PFCandidates")<<err.str();
210	<	throw cms::Exception( "MissingProduct", err.str());
211	<	}
212	<
213	<	}
214	<
215	<	vector<GenericParticle *> JetFinderAnalyzer::get_particles(const edm::Event &evt) {
216	<	// fill unreduced histo
217	<	edm::Handle<edm::HepMCProduct> hRaw;
218	<	edm::Handle<reco::PFCandidateCollection> hPFlow;
219	<	if (info_type_ == 0) {
220	<	evt.getByLabel("source", hRaw);
221	<	}
222	<	if (info_type_ == 1) {
223	<	fetchCandidateCollection(hPFlow,
224	<	inputTagPFCandidates_,
225	<	evt);
226	<	}
227	<
228	<	vector<GenericParticle *> particles;
229	<
230	<	switch (info_type_) {
231	<	case 0:
232	<	const HepMC::GenEvent *hmcEvt = hRaw->GetEvent();
233	<	for (HepMC::GenEvent::particle_const_iterator
234	<	pit = hmcEvt->particles_begin(); pit != hmcEvt->particles_end();
235	<	pit++) {
236	<	if ((*pit)->status() == 1) {
237	<	particles.push_back(new GenericParticle(**pit));
238	<	}
239	<	}
240	<
241	<	break;
242	<	case 1:
243	<	for (unsigned i = 0; i < hPFlow->size(); i++) {
244	<	particles.push_back(new GenericParticle((*hPFlow)[i]));
245	<	}
246	<	break;
247	<	default:
248	<	cerr << "Unknown event type" << endl; // TODO use MessageLogger
249	<	}
250	<
251	<	return particles;
252	<	}
253	<
254	<	TH2D * JetFinderAnalyzer::make_histo(const edm::Event &evt, const edm::EventSetup&) {
255	<	ostringstream oss;
256	<	oss << "eta_phi_energy_unred"<<evt.id().event() << flush;
257	<	TH2D *unred_histo = new TH2D(oss.str().c_str(), oss.str().c_str(),
258	<	600, -2.5, 2.5, 600, -PI, PI);
259	<
260	<	vector<GenericParticle *> particles = get_particles(evt);
261	<	for (int i = 0; i < particles.size(); i++) {
262	<	unred_histo->Fill(particles[i]->eta(),
263	<	particles[i]->phi(),
264	<	particles[i]->e());
265	<	}
266	<
267	<	// reduce histo
268	<	ostringstream oss2;
269	<	oss2 << "eta_phi_energy_red"<<evt.id().event() << flush;
40	>	void JetFinderAnalyzer::beginJob(const edm::EventSetup &es) {
41		edm::Service<TFileService> fs;
42	<	// draw cone of radius 0.5 around highest energy bin, reduce
43	<	double maxE = 0.0;
273	<	int max_i = 29, max_j = 29;
274	<	for (int i = 0; i < unred_histo->GetNbinsX(); i++) {
275	<	for (int j = 0; j < unred_histo->GetNbinsY(); j++) {
276	<	double E = unred_histo->GetBinContent(i+1, j+1);
277	<	if (E > maxE) {
278	<	maxE = E;
279	<	max_i = i;
280	<	max_j = j;
281	<	}
282	<	}
283	<	}
42	>	pairMassHist = fs->make<TH1D>("pairMass", "Mass of Jet Pairs",
43	>	100, 0.0, 250.0);
44
285	–	double rcone = 0.5;
286	–	double Xlo = unred_histo->GetXaxis()->GetXmin();
287	–	double Xhi = unred_histo->GetXaxis()->GetXmax();
288	–	double Ylo = unred_histo->GetYaxis()->GetXmin();
289	–	double Yhi = unred_histo->GetYaxis()->GetXmax();
290	–	double XbinSize = (Xhi - Xlo) /
291	–	static_cast<double>(unred_histo->GetXaxis()->GetNbins());
292	–	double YbinSize = (Yhi - Ylo) /
293	–	static_cast<double>(unred_histo->GetYaxis()->GetNbins());
294	–	double max_x = (static_cast<double>(max_i) + 0.5) * XbinSize + Xlo;
295	–	double max_y = (static_cast<double>(max_j) + 0.5) * YbinSize + Ylo;
296	–	TH2D *histo = fs->make<TH2D>(oss2.str().c_str(), oss2.str().c_str(),
297	–	60, max_x-rcone, max_x+rcone,
298	–	60, max_y-rcone, max_y+rcone);
299	–
300	–	// create an unsmeared reduced histo
301	–	TH2D *histo_unsmeared = fs->make<TH2D>((oss2.str()+"_unsmeared").c_str(),
302	–	(oss2.str()+"_unsmeared").c_str(),
303	–	60, max_x-rcone, max_x+rcone,
304	–	60, max_y-rcone, max_y+rcone);
305	–	for (int i = 0; i < particles.size(); i++) {
306	–	double N = particles[i]->e();
307	–	double x = particles[i]->eta();
308	–	double y = particles[i]->phi();
309	–	histo_unsmeared->Fill(x, y, N);
310	–	}
311	–
312	–	// create a smeared reduced histo
313	–	// create a temporary 2D vector for smeared energies
314	–	XbinSize = (histo->GetXaxis()->GetXmax()
315	–	- histo->GetXaxis()->GetXmin()) /
316	–	static_cast<double>(histo->GetXaxis()->GetNbins());
317	–	YbinSize = (histo->GetYaxis()->GetXmax()
318	–	- histo->GetYaxis()->GetXmin()) /
319	–	static_cast<double>(histo->GetYaxis()->GetNbins());
320	–	vector< vector<double> > smeared(60, vector<double>(60, 0.0) );
321	–	switch (smear_coord_) {
322	–	case 1:
323	–	for (int i = 0; i < particles.size(); i++) {
324	–	double N = particles[i]->e();
325	–	double x = particles[i]->eta();
326	–	double y = particles[i]->phi();
327	–	// loop over bins and add Gaussian in proper angle to smeared
328	–	for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
329	–	for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
330	–	double eta = static_cast<double>((signed int)i2) * XbinSize +
331	–	max_x - rcone - x;
332	–	double phi = acos(cos(static_cast<double>((signed int)j2) * YbinSize +
333	–	max_y - rcone - y));
334	–	phi = sin(phi) > 0 ? phi : -phi;
335	–
336	–	// transform eta, phi to proper angle
337	–	double theta = 2.0*atan(exp(-eta));
338	–	double iota = asin(sin(theta)*sin(phi));
339	–
340	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
341	–	* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
342	–	}
343	–	}
344	–	}
345	–	break;
346	–	case 0:
347	–	default:
348	–	for (int i = 0; i < particles.size(); i++) {
349	–	double N = particles[i]->e();
350	–	double x = particles[i]->eta();
351	–	double y = particles[i]->phi();
352	–	// loop over bins and add Gaussian to smeared
353	–	for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
354	–	for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
355	–	double eta = static_cast<double>((signed int)i2) * XbinSize
356	–	+ max_x - rcone - x;
357	–	double phi = acos(cos(static_cast<double>((signed int)j2) * YbinSize
358	–	+ max_y - rcone - y));
359	–	phi = sin(phi) > 0 ? phi : -phi;
360	–	smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
361	–	* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
362	–	}
363	–	}
364	–	}
365	–	}
366	–	// set histogram to match smear vector
367	–	for (int i = 1; i <= 60; i++) {
368	–	for (int j = 1; j <= 60; j++) {
369	–	histo->SetBinContent(i, j, smeared[i-1][j-1]);
370	–	}
371	–	}
372	–
373	–	return histo;
45		}
46
47	<	void seed_with_CA(vector<GenericParticle *> gParticles, TH2 *histo,
48	<	jetfit::model_def &_mdef) {
49	<	// create a PseudoJet vector
50	<	vector<PseudoJet> particles;
51	<	for (unsigned i = 0; i < gParticles.size(); i++) {
52	<	double x_max = (histo->GetXaxis()->GetXmax()
53	<	+ histo->GetXaxis()->GetXmin()) / 2.0;
54	<	double y_max = (histo->GetYaxis()->GetXmax()
55	<	+ histo->GetYaxis()->GetXmin()) / 2.0;
56	<	valarray<double> pmom(4);
57	<	pmom[0] = gParticles[i]->px();
58	<	pmom[1] = gParticles[i]->py();
59	<	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
414	<	int ijset = 0;
415	<	for (unsigned ij = 0; ij < jets.size(); ij++) {
416	<	double N = jets[ij].e();
417	<	if (N > 50.0) {
418	<	_mdef.set_special_par(ijset, 0, N, _mdef.chisquare_error(N)*0.1,
419	<	0.0, 1.0e6);
420	<	_mdef.set_special_par(ijset, 1, jets[ij].eta(), 0.01,
421	<	0.0, 0.0);
422	<	double mdef_phi = jets[ij].phi() > PI ? jets[ij].phi() - 2*PI
423	<	: jets[ij].phi();
424	<	_mdef.set_special_par(ijset, 2, mdef_phi, 0.01,
425	<	0.0, 0.0);
426	<	_mdef.set_special_par(ijset, 3, 0.1, 0.001, 0.0, 0.0);
427	<	ijset++;
428	<	}
47	>	double evalFitFunction(HistoFitter::FitResults r, double x, double y,
48	>	int i) {
49	>	unsigned nGauss = r.pars[i].size() / 4;
50	>	double fitVal = 0.0;
51	>	for (unsigned j = 0; j < nGauss; j++) {
52	>	double N = r.pval[i][4*j];
53	>	double mu_x = r.pval[i][4*j + 1];
54	>	double mu_y = r.pval[i][4*j + 2];
55	>	double sig = r.pval[i][4*j + 3];
56	>
57	>	double rel_x = x - mu_x; double rel_y = y - mu_y;
58	>	fitVal += (N / 2.0 / M_PI / sig / sig)
59	>	* exp(-(rel_x * rel_x + rel_y * rel_y)/2.0/sig/sig);
60		}
61	+	return fitVal;
62		}
63
64	<	jetfit::model_def& JetFinderAnalyzer::make_model_def(const edm::Event& evt,
65	<	const edm::EventSetup&,
66	<	TH2 *histo) {
67	<	class jf_model_def : public jetfit::model_def {
436	<	public:
437	<	virtual double chisquare_error(double E) {
438	<	return 0.97*E + 14.0;
439	<	// study from 08-27-09
440	<	}
441	<	};
442	<
443	<	jf_model_def *_mdef = new jf_model_def();
444	<	TFormula *formula = new TFormula("gaus2d",
445	<	"[0]*exp(-0.5*((x-[1])**2 + (y-[2])**2)/([3]**2))/(2*pi*[3]**2)");
446	<	_mdef->set_formula(formula);
447	<	_mdef->set_indiv_max_E(0);
448	<	_mdef->set_indiv_max_x(1);
449	<	_mdef->set_indiv_max_y(2);
450	<	_mdef->set_indiv_par(0, string("N"), 0.0, 0.0, 0.0, 1.0e6);
451	<	_mdef->set_indiv_par(1, string("mu_x"), 0.0, 0.0, 0.0, 0.0);
452	<	_mdef->set_indiv_par(2, string("mu_y"), 0.0, 0.0, 0.0, 0.0);
453	<	_mdef->set_indiv_par(3, string("sig"), 0.1, 0.001, 0.0, 0.0);
454	<
455	<	seed_with_CA(get_particles(evt), histo, *_mdef);
456	<
457	<	jetfit::set_model_def(_mdef);
458	<
459	<	// generate initial fit histogram
64	>	void JetFinderAnalyzer::analyze_results(HistoFitter::FitResults r,
65	>	std::vector<HistoFitter::Trouble> t,
66	>	TH2 *hist_orig) {
67	>	// perform analysis of fit results
68		edm::Service<TFileService> fs;
69	<	TH2D *init_fit_histo = fs->make<TH2D>(("init_fit_"+string(histo->GetName()))
70	<	.c_str(),
71	<	("Initial fit for "
72	<	+string(histo->GetName())).c_str(),
73	<	histo->GetXaxis()->GetNbins(),
74	<	histo->GetXaxis()->GetXmin(),
75	<	histo->GetXaxis()->GetXmax(),
76	<	histo->GetXaxis()->GetNbins(),
77	<	histo->GetXaxis()->GetXmin(),
78	<	histo->GetXaxis()->GetXmax());
79	<	double XbinSize = (histo->GetXaxis()->GetXmax()
80	<	- histo->GetXaxis()->GetXmin()) /
81	<	static_cast<double>(histo->GetXaxis()->GetNbins());
82	<	double YbinSize = (histo->GetYaxis()->GetXmax()
83	<	- histo->GetYaxis()->GetXmin()) /
84	<	static_cast<double>(histo->GetYaxis()->GetNbins());
85	<	double Xlo = histo->GetXaxis()->GetXmin();
86	<	double Xhi = histo->GetXaxis()->GetXmax();
87	<	double Ylo = histo->GetYaxis()->GetXmin();
88	<	double Yhi = histo->GetYaxis()->GetXmax();
89	<
90	<	for (int i = 0; i < 60; i++) {
91	<	for (int j = 0; j < 60; j++) {
92	<	double x = (static_cast<double>(i) + 0.5)*XbinSize + Xlo;
93	<	double y = (static_cast<double>(j) + 0.5)*YbinSize + Ylo;
486	<	double pval[256];
487	<	if (_mdef->get_n_special_par_sets() > 64) {
488	<	cerr << "Parameter overload" << endl;
489	<	return *_mdef;
490	<	}
491	<	else {
492	<	for (int is = 0; is < _mdef->get_n_special_par_sets(); is++) {
493	<	for (int ii = 0; ii < 4; ii++) {
494	<	double spval, sperr, splo, sphi;
495	<	_mdef->get_special_par(is, ii, spval, sperr, splo, sphi);
496	<	pval[4*is + ii] = spval;
497	<	}
498	<	}
69	>	for (unsigned i = 0; i < r.pars.size(); i++) {
70	>	ostringstream fitHistoOss;
71	>	fitHistoOss << hist_orig->GetName() << "_fit" << i << flush;
72	>	TH2D *fitHisto = fs->make<TH2D>(fitHistoOss.str().c_str(),
73	>	("Fitted distribution to "
74	>	+std::string(hist_orig->GetName())).c_str(),
75	>	hist_orig->GetNbinsX(),
76	>	hist_orig->GetXaxis()->GetXmin(),
77	>	hist_orig->GetXaxis()->GetXmax(),
78	>	hist_orig->GetNbinsY(),
79	>	hist_orig->GetYaxis()->GetXmin(),
80	>	hist_orig->GetYaxis()->GetXmax());
81	>
82	>	double Xlo = fitHisto->GetXaxis()->GetXmin();
83	>	double Xhi = fitHisto->GetXaxis()->GetXmax();
84	>	double Ylo = fitHisto->GetYaxis()->GetXmin();
85	>	double Yhi = fitHisto->GetYaxis()->GetXmax();
86	>	double XbinSize = (Xhi - Xlo) / static_cast<double>(fitHisto->GetNbinsX());
87	>	double YbinSize = (Yhi - Ylo) / static_cast<double>(fitHisto->GetNbinsY());
88	>
89	>	for (int ib = 1; ib <= fitHisto->GetNbinsX(); ib++) {
90	>	for (int jb = 1; jb <= fitHisto->GetNbinsY(); jb++) {
91	>	double x = (static_cast<double>(ib) - 0.5) * XbinSize + Xlo;
92	>	double y = (static_cast<double>(jb) - 0.5) * YbinSize + Ylo;
93	>	fitHisto->SetBinContent(ib, jb, evalFitFunction(r, x, y, i) * XbinSize * YbinSize);
94		}
500	–	jetfit::set_ngauss(_mdef->get_n_special_par_sets());
501	–	init_fit_histo->SetBinContent(i+1, j+1,
502	–	jetfit::fit_fcn(x, y, pval));
95		}
96	<	}
97	<
98	<	return *_mdef;
99	<	}
100	<
101	<	void JetFinderAnalyzer::beginJob(const edm::EventSetup &es) {
102	<	ofs.open("jetfindlog.txt", ios::out);
103	<	if (ofs.fail()) {
104	<	cerr << "Opening jetfindlog.txt FAILED" << endl;
105	<	}
106	<	ofs << "Jetfinder log" << endl
515	<	<< "=============" << endl << endl;
516	<	}
517	<
518	<	ostream& operator<<(ostream &out, jetfit::trouble t) {
519	<	string action, error_string;
520	<
521	<	if (t.istat != 3) {
522	<	switch(t.occ) {
523	<	case jetfit::T_NULL:
524	<	action = "Program"; break;
525	<	case jetfit::T_SIMPLEX:
526	<	action = "SIMPLEX"; break;
527	<	case jetfit::T_MIGRAD:
528	<	action = "MIGRAD"; break;
529	<	case jetfit::T_MINOS:
530	<	action = "MINOS"; break;
531	<	default:
532	<	action = "Program"; break;
533	<	}
534	<
535	<	switch (t.istat) {
536	<	case 0:
537	<	error_string = "Unable to calculate error matrix"; break;
538	<	case 1:
539	<	error_string = "Error matrix a diagonal approximation"; break;
540	<	case 2:
541	<	error_string = "Error matrix not positive definite"; break;
542	<	case 3:
543	<	error_string = "Converged successfully"; break;
544	<	default:
545	<	ostringstream oss;
546	<	oss<<"Unknown status code "<<t.istat << flush;
547	<	error_string = oss.str(); break;
96	>
97	>	// save fit results to an ntuple
98	>	ostringstream fitResultsOss;
99	>	fitResultsOss << hist_orig->GetName() << "_results" << i << flush;
100	>	TNtuple *rNtuple = fs->make<TNtuple>(fitResultsOss.str().c_str(),
101	>	("Fit results for "+std::string(hist_orig->GetName())).c_str(),
102	>	"N:mu_x:mu_y:sigma");
103	>	unsigned nGauss = r.pval[i].size() / 4;
104	>	for (unsigned j = 0; j < nGauss; j++) {
105	>	rNtuple->Fill(r.pval[i][4*j], r.pval[i][4*j+1], r.pval[i][4*j+2],
106	>	r.pval[i][4*j+3]);
107		}
108	<
109	<	if (t.occ != jetfit::T_NULL)
110	<	out << action<<" trouble: "<<error_string;
111	<	else
112	<	out << "Not calculated" << endl;
113	<	}
114	<
115	<	return out;
116	<	}
117	<
118	<	void JetFinderAnalyzer::analyze_results(jetfit::results r,
119	<	std::vector<jetfit::trouble> t,
120	<	TH2 *hist_orig) {
121	<	ofs << "Histogram "<<hist_orig->GetName() << endl;
122	<	for (int i = 0; i < unique_jets[hist_orig].size(); i++) {
123	<	ofs << "For "<<i+1<<" gaussians: " << endl
124	<	<< t.at(i) << endl
125	<	<< unique_jets[hist_orig][i].size()<<" unique jets found" << endl;
126	<	for (int j = 0; j < unique_jets[hist_orig][i].size(); j++) {
127	<	jet _jet = unique_jets[hist_orig][i][j];
128	<	ofs << "Jet "<<j<<": Energy = "<<_jet.energy<<", eta = "<<_jet.eta
129	<	<< ", phi = "<<_jet.phi << endl;
108	>
109	>	// save jets found
110	>	vector<reco::Jet::LorentzVector> jets;
111	>	for (unsigned j = 0; j < nGauss; j++) {
112	>	double energy = r.pval[i][4*j];
113	>	double eta = r.pval[i][4*j + 1];
114	>	double phi = r.pval[i][4*j + 2];
115	>	double width = r.pval[i][4*j + 3];
116	>	//true jet width
117	>	width = sqrt(width*width - 0.0025);
118	>
119	>	reco::LeafCandidate::LorentzVector P4;
120	>	reco::LeafCandidate::Point vertex(0.0, 0.0, 0.0);
121	>	P4.SetE(energy);
122	>	// SetEta and SetPhi don't seem to be working
123	>	//P4.SetEta(eta);
124	>	//P4.SetPhi(phi);
125	>	double theta = 2.0*atan(exp(-eta));
126	>	P4.SetPx(energy*sin(theta)*cos(phi));
127	>	P4.SetPy(energy*sin(theta)*sin(phi));
128	>	P4.SetPz(energy*cos(theta));
129	>	jets.push_back(P4);
130	>	}
131	>	// compute pair masses
132	>	for (unsigned s1 = 0; s1 < jets.size() - 1; s1++) {
133	>	for (unsigned s2 = s1 + 1; s2 < jets.size(); s2++) {
134	>	// create TOTAL MOMENTUM VECTOR
135	>	reco::Jet::LorentzVector P4 = jets[s1] + jets[s2];
136	>	pairMassHist->Fill(static_cast<double>(P4.M()));
137	>	}
138	>	}
139	>
140	>	// save chisquares to ntuple
141	>	for (unsigned j = 0; j < r.chisquare.size(); j++) {
142	>	ostringstream csNtupleName, csNtupleTitle;
143	>	csNtupleName << hist_orig->GetName() << "_chi2_" << j << flush;
144	>	csNtupleTitle << "Chisquare "<<j<<" for histo "<<hist_orig->GetName()
145	>	<< flush;
146	>	TNtuple *csNtuple = fs->make<TNtuple>(csNtupleName.str().c_str(),
147	>	csNtupleTitle.str().c_str(),
148	>	"chisq");
149	>	csNtuple->Fill(r.chisquare[j]);
150		}
572	–	ofs << endl;
573	–	}
574	–	ofs << endl;
151
152	<	// save fit function histograms to root file
153	<	edm::Service<TFileService> fs;
578	<	for (vector< vector<double> >::size_type i = 0;
579	<	i < r.pval.size(); i++) {
580	<	jetfit::set_ngauss(r.pval[i].size() / 4);
581	<	TF2 *tf2 = new TF2("fit_func", jetfit::fit_fcn_TF2,
582	<	hist_orig->GetXaxis()->GetXmin(),
583	<	hist_orig->GetXaxis()->GetXmax(),
584	<	hist_orig->GetYaxis()->GetXmin(),
585	<	hist_orig->GetYaxis()->GetXmax(),
586	<	r.pval[i].size());
587	<	for (vector<double>::size_type j = 0; j < r.pval[i].size(); j++) {
588	<	tf2->SetParameter(j, r.pval[i][j]);
589	<	}
590	<	ostringstream fit_histo_oss;
591	<	fit_histo_oss << hist_orig->GetName()<<"_fit_"<<i << flush;
592	<	tf2->SetNpx(hist_orig->GetXaxis()->GetNbins());
593	<	tf2->SetNpy(hist_orig->GetYaxis()->GetNbins());
594	<	TH2D *fit_histo = fs->make<TH2D>(fit_histo_oss.str().c_str(),
595	<	fit_histo_oss.str().c_str(),
596	<	hist_orig->GetXaxis()->GetNbins(),
597	<	hist_orig->GetXaxis()->GetXmin(),
598	<	hist_orig->GetXaxis()->GetXmax(),
599	<	hist_orig->GetYaxis()->GetNbins(),
600	<	hist_orig->GetYaxis()->GetXmin(),
601	<	hist_orig->GetYaxis()->GetXmax());
602	<	TH1 *tf2_histo = tf2->CreateHistogram();
603	<	double XbinSize = (fit_histo->GetXaxis()->GetXmax()
604	<	- fit_histo->GetXaxis()->GetXmin())
605	<	/ static_cast<double>(fit_histo->GetXaxis()->GetNbins());
606	<	double YbinSize = (fit_histo->GetYaxis()->GetXmax()
607	<	- fit_histo->GetYaxis()->GetXmin())
608	<	/ static_cast<double>(fit_histo->GetYaxis()->GetNbins());
609	<	for (int ih = 0; ih < tf2->GetNpx(); ih++) {
610	<	for (int jh = 0; jh < tf2->GetNpy(); jh++) {
611	<	fit_histo->SetBinContent(ih+1, jh+1,
612	<	tf2_histo->GetBinContent(ih+1, jh+1)
613	<	* XbinSize * YbinSize);
614	<	}
615	<	}
152	>	// save jets found
153	>
154		}
617	–
618	–	// save results to file
619	–	ostringstream res_tree_oss, rt_title_oss;
620	–	res_tree_oss << hist_orig->GetName()<<"_results" << flush;
621	–	rt_title_oss << "Fit results for "<<hist_orig->GetName() << flush;
155		}
156
157		DEFINE_FWK_MODULE(JetFinderAnalyzer);

Diff Legend

–	Removed lines
+	Added lines
<	Changed lines
>	Changed lines