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root/cvsroot/UserCode/JetFitAnalyzer/src/JetFitAnalyzer.cc

Comparing UserCode/JetFitAnalyzer/src/JetFitAnalyzer.cc (file contents):
Revision 1.9 by dnisson, Mon Nov 23 16:27:46 2009 UTC vs.
Revision 1.14 by dnisson, Sun Dec 13 19:56:28 2009 UTC

#	Line 27 | Line 27
27
28		#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h"
29
30	–
31	–	#include <cstdlib>
32	–	#include <cmath>
33	–	#include <ctime>
34	–	#include <cstdio>
35	–	#include <cstring>
36	–	#include <cctype>
37	–	#include <iostream>
38	–	#include <fstream>
39	–	#include <sstream>
40	–	#include <string>
41	–	#include <vector>
42	–	#include <set>
43	–	#include <map>
44	–	#include <limits>
45	–	#include <exception>
46	–
47	–	#include <TMinuit.h>
48	–	#include <TH1.h>
49	–	#include <TH2.h>
50	–	#include <TF2.h>
51	–	#include <TRandom3.h>
52	–	#include <Rtypes.h>
53	–	#include <TFormula.h>
54	–	#include <TSystem.h>
55	–	#include <TMath.h>
56	–
57	–	#include "UserCode/JetFitAnalyzer/interface/jetfit.h"
58	–
59	–	#define PI 3.141592653
60	–
61	–	#define MAX_GAUSS 3
62	–
63	–	using namespace std;
64	–
65	–	JetFitAnalyzer::ModelDefinition *mdef;
66	–
67	–	JetFitAnalyzer::ModelDefinition& curr_ModelDefinition() {
68	–	return *mdef;
69	–	}
70	–
71	–	void JetFitAnalyzer::set_ModelDefinition(ModelDefinition *_mdef) {
72	–	mdef = _mdef;
73	–	}
74	–
75	–	int JetFitAnalyzer::ModelDefinition::get_ngauss() {
76	–	return ngauss;
77	–	}
78	–
79	–	void JetFitAnalyzer::ModelDefinition::set_ngauss(int _ngauss) {
80	–	ngauss = _ngauss;
81	–	}
82	–
83	–	// fit function
84	–	double JetFitAnalyzer::ModelDefinition::fit_fcn(double x, double y, double *xval) {
85	–	int npar_indiv = get_formula()->GetNpar();
86	–	double val = 0.0;
87	–	for (int i = 0; i < ngauss; i++) {
88	–	get_formula()->SetParameters(xval + i*npar_indiv);
89	–	val += mdef->get_formula()->Eval(x, y);
90	–	}
91	–	return val;
92	–	}
93	–
94	–	// TF2-compatible fit function
95	–	double JetFitAnalyzer::fit_fcn_TF2(double *x, double *pval) {
96	–	double val = mdef->fit_fcn(x[0], x[1], pval);
97	–	return val;
98	–	}
99	–
100	–	// Integral of (model formula)^2 / chisquare sigma
101	–	double JetFitAnalyzer::ModelDefinition::formula_int(double xlo, double xhi, double ylo, double yhi,
102	–	double *pval, double XbinSize, double YbinSize,
103	–	double *xval) {
104	–	double xstep = (xhi - xlo) / static_cast<double>(20);
105	–	double ystep = (yhi - ylo) / static_cast<double>(20);
106	–
107	–	double fsum = 0.0;
108	–	double pval_old[256];
109	–	int npar = get_formula()->GetNpar();
110	–	if (npar > 256) {
111	–	cerr << "Parameter overload" << endl;
112	–	return 0.0;
113	–	}
114	–	get_formula()->GetParameters(pval_old);
115	–	get_formula()->SetParameters(pval);
116	–
117	–	for (int i = 0; i < 20; i++) {
118	–	for (int j = 0; j < 20; j++) {
119	–	double x = (static_cast<double>(i) + 0.5)*xstep + xlo;
120	–	double y = (static_cast<double>(j) + 0.5)*ystep + ylo;
121	–	double sig_cut = 1.0e-5;
122	–	double nu = XbinSize * YbinSize * fit_fcn(x, y, xval);
123	–	double sigma = fabs(chisquare_error(0.0)) < sig_cut
124	–	? sig_cut : chisquare_error(0.0);
125	–
126	–	fsum += pow(xstep * ystep * get_formula()->Eval(x, y), 2.0)
127	–	/ sigma / sigma;
128	–	}
129	–	}
130	–
131	–	get_formula()->SetParameters(pval_old);
132	–	return fsum;
133	–	}
134	–
135	–	// MINUIT objective function
136	–	void fcn(int &npar, double *grad, double &fcnval, double *xval, int iflag)
137	–	{
138	–	double chisquare = 0.0;
139	–	double XbinSize = (energy.Xhi - energy.Xlo)
140	–	/ static_cast<double>(energy.bins.size());
141	–	double YbinSize = (energy.Yhi - energy.Ylo)
142	–	/ static_cast<double>(energy.bins.at(0).size());
143	–	try {
144	–	// add errors in data points in histogram
145	–	for (int i = 0; i < energy.bins.size(); i++) {
146	–	for (int j = 0; j < energy.bins.at(i).size(); j++) {
147	–	double x = (static_cast<double>(i) + 0.5) * (energy.Xhi - energy.Xlo)
148	–	/ static_cast<double>(energy.bins.size()) + energy.Xlo;
149	–	double y = (static_cast<double>(j) + 0.5) * (energy.Yhi - energy.Ylo)
150	–	/ static_cast<double>(energy.bins.at(i).size()) + energy.Ylo;
151	–	double nu = mdef->fit_fcn(x, y, xval) * XbinSize * YbinSize;
152	–	double sig_cut = 1.0e-5;
153	–	if (fabs(mdef->chisquare_error(energy.bins.at(i).at(j))) > sig_cut || !ignorezero_) {
154	–	chisquare += pow(energy.bins.at(i).at(j) - nu, 2.0)
155	–	/ pow(mdef->chisquare_error(energy.bins.at(i).at(j)), 2.0);
156	–	}
157	–	else {
158	–	chisquare += pow(energy.bins.at(i).at(j) - nu, 2.0)
159	–	/ pow(sig_cut, 2.0);
160	–	}
161	–	}
162	–	}
163	–
164	–	// add errors due to Gaussians outside histogram
165	–	double eps = 0.01; // accuracy set for this function
166	–	for (int i = 0; i < mdef->get_ngauss(); i++) {
167	–	double *pval = xval+i*(mdef->get_formula()->GetNpar());
168	–	double par_x = pval[mdef->get_indiv_max_x()];
169	–	double par_y = pval[mdef->get_indiv_max_y()];
170	–	double par_sig = pval[3];
171	–	double cutoff_rad = sqrt(-log(eps * 2.0 * PI * par_sig * par_sig
172	–	/ pval[0]) * 2.0 * par_sig * par_sig);
173	–
174	–	bool left = par_x < energy.Xlo + cutoff_rad;
175	–	bool right = par_x > energy.Xhi - cutoff_rad;
176	–	bool top = par_y > energy.Yhi - cutoff_rad;
177	–	bool bottom = par_y < energy.Ylo + cutoff_rad;
178	–
179	–	if (left) {
180	–	double xlo = par_x - cutoff_rad;
181	–	double xhi = energy.Xlo;
182	–	double ylo = energy.Ylo;
183	–	double yhi = energy.Yhi;
184	–	chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
185	–	XbinSize, YbinSize, xval);
186	–	}
187	–	if (right) {
188	–	double xlo = energy.Xhi;
189	–	double xhi = par_x + cutoff_rad;
190	–	double ylo = energy.Ylo;
191	–	double yhi = energy.Yhi;
192	–	chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
193	–	XbinSize, YbinSize, xval);
194	–	}
195	–	if (top) {
196	–	double xlo = left ? par_x - cutoff_rad : energy.Xlo;
197	–	double xhi = right ? par_x + cutoff_rad : energy.Xhi;
198	–	double ylo = energy.Yhi;
199	–	double yhi = par_y + cutoff_rad;
200	–	chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
201	–	XbinSize, YbinSize, xval);
202	–	}
203	–	if (bottom) {
204	–	double xlo = left ? par_x - cutoff_rad : energy.Xlo;
205	–	double xhi = right ? par_x + cutoff_rad : energy.Xhi;
206	–	double ylo = par_y - cutoff_rad;
207	–	double yhi = energy.Ylo;
208	–	chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
209	–	XbinSize, YbinSize, xval);
210	–	}
211	–	}
212	–
213	–	fcnval = chisquare;
214	–	}
215	–	catch (exception ex) {
216	–	cerr << "Exception in jetfit::fcn" << endl;
217	–	}
218	–	}
219	–
220	–	TFormula * JetFitAnalyzer::ModelDefinition::get_formula() {
221	–	return indiv_formula;
222	–	}
223	–
224	–	void JetFitAnalyzer::ModelDefinition::set_formula(TFormula *new_formula) {
225	–	indiv_formula = new_formula;
226	–	}
227	–
228	–	void JetFitAnalyzer::ModelDefinition::get_indiv_par(int i, string &name, double &start, double &step,
229	–	double &lo, double &hi) {
230	–	try {
231	–	name = indiv_par_names.at(i);
232	–	start = indiv_par_starts.at(i);
233	–	step = indiv_par_start_steps.at(i);
234	–	lo = indiv_par_lo.at(i);
235	–	hi = indiv_par_hi.at(i);
236	–	} catch (exception ex) {
237	–	cerr << "exception in jetfit::ModelDefinition::get_indiv_par" << endl;
238	–	}
239	–	}
240	–
241	–	void JetFitAnalyzer::ModelDefinition::set_indiv_par(int i, string name, double start, double step,
242	–	double lo, double hi) {
243	–	if (indiv_par_names.size() < i+1) {
244	–	indiv_par_names.resize(i+1);
245	–	indiv_par_starts.resize(i+1);
246	–	indiv_par_start_steps.resize(i+1);
247	–	indiv_par_lo.resize(i+1);
248	–	indiv_par_hi.resize(i+1);
249	–	}
250	–	try {
251	–	indiv_par_names.at(i) = name;
252	–	indiv_par_starts.at(i) = start;
253	–	indiv_par_start_steps.at(i) = step;
254	–	indiv_par_lo.at(i) = lo;
255	–	indiv_par_hi.at(i) = hi;
256	–	}
257	–	catch (exception ex) {
258	–	cerr << "exception in jetfit::ModelDefinition::set_indiv_par" << endl;
259	–	}
260	–	}
261	–
262	–	int JetFitAnalyzer::ModelDefinition::get_indiv_max_E() {
263	–	return indiv_max_E;
264	–	}
265	–
266	–	void JetFitAnalyzer::ModelDefinition::set_indiv_max_E(int _new_max_E) {
267	–	indiv_max_E = _new_max_E;
268	–	}
269	–
270	–	int JetFitAnalyzer::ModelDefinition::get_indiv_max_x() {
271	–	return indiv_max_x;
272	–	}
273	–
274	–	void JetFitAnalyzer::ModelDefinition::set_indiv_max_x(int new_max_x) {
275	–	indiv_max_x = new_max_x;
276	–	}
277	–
278	–	int JetFitAnalyzer::ModelDefinition::get_indiv_max_y() {
279	–	return indiv_max_y;
280	–	}
281	–
282	–	void JetFitAnalyzer::ModelDefinition::set_indiv_max_y(int new_max_y) {
283	–	indiv_max_y = new_max_y;
284	–	}
285	–
286	–	unsigned JetFitAnalyzer::ModelDefinition::get_n_special_par_sets() {
287	–	return special_par_starts.size();
288	–	}
289	–
290	–	void JetFitAnalyzer::ModelDefinition::get_special_par(int g, int i, double &pstart,
291	–	double &perr, double &plo, double &phi) {
292	–	try {
293	–	pstart = special_par_starts.at(g).at(i);
294	–	perr = special_par_start_steps.at(g).at(i);
295	–	plo = special_par_lo.at(g).at(i);
296	–	phi = special_par_hi.at(g).at(i);
297	–	} catch (exception ex) {
298	–	cerr << "Exception in ModelDefinition::get_special_par" << endl;
299	–	}
300	–	}
301	–
302	–	void JetFitAnalyzer::ModelDefinition::set_special_par(int g, int i, double pstart,
303	–	double perr, double plo, double phi) {
304	–	if (g+1 > special_par_starts.size()) {
305	–	special_par_starts.resize(g+1);
306	–	special_par_start_steps.resize(g+1);
307	–	special_par_lo.resize(g+1);
308	–	special_par_hi.resize(g+1);
309	–	}
310	–
311	–	try {
312	–	if (i+1 > special_par_starts.at(g).size()) {
313	–	special_par_starts.at(g).resize(i+1);
314	–	special_par_start_steps.at(g).resize(i+1);
315	–	special_par_lo.at(g).resize(i+1);
316	–	special_par_hi.at(g).resize(i+1);
317	–	}
318	–
319	–	special_par_starts.at(g).at(i) = pstart;
320	–	special_par_start_steps.at(g).at(i) = perr;
321	–	special_par_lo.at(g).at(i) = plo;
322	–	special_par_hi.at(g).at(i) = phi;
323	–	}
324	–	catch (exception ex) {
325	–	cerr << "exception in jetfit::ModelDefinition::set_special_par" << endl;
326	–	}
327	–	}
328	–
329	–	void JetFitAnalyzer::fill_histo_with_vec(TH2 *hist, vector< vector<double> > &vec) {
330	–	for (int i = 0; i < vec.size(); i++) {
331	–	for (int j = 0; j < vec[i].size(); j++) {
332	–	hist->SetBinContent(i+1, j+1, vec[i][j]);
333	–	}
334	–	}
335	–	}
336	–
337	–	vector<vector<double> >
338	–	JetFitAnalyzer::ModelDefinition::subtractCurrentFit(VectorHisto energy) {
339	–	vector< vector<double> > subEnergy;
340	–
341	–	double XbinSize = (energy.Xhi - energy.Xlo)
342	–	/ static_cast<double>(energy.bins.size());
343	–	double YbinSize = (energy.Xhi - energy.Xlo)
344	–	/ static_cast<double>(energy.bins.at(0).size());
345	–	vector< vector<double> > subEnergy(energy.bins.size());
346	–	double max_sub, max_x = 0.0, max_y = 0.0;
347	–	double pval_other[256];
348	–	max_sub = -(numeric_limits<double>::max());
349	–	for (int i = 0; i < energy.bins.size(); i++) {
350	–	subEnergy[i].resize(energy.bins[i].size());
351	–	for (int j = 0; j < energy.bins[i].size(); j++) {
352	–	double x = static_cast<double>(i)*(energy.Xhi - energy.Xlo)
353	–	/ static_cast<double>(energy.bins.size()) + energy.Xlo;
354	–	double y = static_cast<double>(j)*(energy.Yhi - energy.Ylo)
355	–	/ static_cast<double>(energy.bins[i].size()) + energy.Ylo;
356	–	if (ngauss > 1) {
357	–	// subtract integral of fit function
358	–	try {
359	–	int npval_other = r.pval.at(r.pval.size()-1).size();
360	–	if (npval_other > 256) {
361	–	cerr << "Parameter overload" << endl;
362	–	return -1.0;
363	–	}
364	–	for (int k = 0; k < npval_other; k++) {
365	–	pval_other[k] = r.pval[r.pval.size()-1][k];
366	–	}
367	–	ngauss--;
368	–	double nu = fit_fcn(x, y, pval_other) * XbinSize * YbinSize;
369	–	ngauss++;
370	–	subEnergy[i][j] = energy.bins[i][j] - nu;
371	–	}
372	–	catch (exception ex) {
373	–	cerr << "Exception in par_init" << endl;
374	–	}
375	–	}
376	–	else {
377	–	subEnergy[i][j] = energy.bins[i][j];
378	–	}
379	–	}
380	–	}
381	–
382	–	return subEnergy;
383	–	}
384	–
385	–	void JetFitAnalyzer::ModelDefinition::initNewMeanY() {
386	–	vector< vector<double> > subEnergy = subtractCurrentFit(energy);
387	–
388	–	TH2D *hist_sub = new TH2D("hist_sub", "Subtracted histo",
389	–	subEnergy.size(), energy.Xlo,
390	–	energy.Xhi,
391	–	subEnergy[0].size(), energy.Ylo,
392	–	energy.Yhi);
393	–	fill_histo_with_vec(hist_sub, subEnergy);
394	–	max_sub = 0.0;
395	–	max_x = 0.0;
396	–	max_y = 0.0;
397	–	for (int i = 1; i <= hist_sub->GetXaxis()->GetNbins(); i++) {
398	–	for (int j = 1; j <= hist_sub->GetYaxis()->GetNbins(); j++) {
399	–	double nu = energy.bins[i-1][j-1] - subEnergy[i-1][j-1];
400	–	if (hist_sub->GetBinContent(i, j)
401	–	- 3.0*pow(chisquare_error(nu), 2.0) > max_sub) {
402	–	max_sub = hist_sub->GetBinContent(i, j);
403	–	max_y = static_cast<double>(j-1)*YbinSize
404	–	+ hist_sub->GetYaxis()->GetXmin();
405	–	}
406	–	}
407	–	}
408	–	return max_y;
409	–	}
410	–
411	–	void JetFitAnalyzer::ModelDefinition::initNewN() {
412	–	vector< vector<double> > subEnergy = subtractCurrentFit(energy);
413	–
414	–	TH2D *hist_sub = new TH2D("hist_sub", "Subtracted histo",
415	–	subEnergy.size(), energy.Xlo,
416	–	energy.Xhi,
417	–	subEnergy[0].size(), energy.Ylo,
418	–	energy.Yhi);
419	–	fill_histo_with_vec(hist_sub, subEnergy);
420	–	max_sub = 0.0;
421	–	max_x = 0.0;
422	–	max_y = 0.0;
423	–	for (int i = 1; i <= hist_sub->GetXaxis()->GetNbins(); i++) {
424	–	for (int j = 1; j <= hist_sub->GetYaxis()->GetNbins(); j++) {
425	–	double nu = energy.bins[i-1][j-1] - subEnergy[i-1][j-1];
426	–	if (hist_sub->GetBinContent(i, j)
427	–	- 3.0*pow(chisquare_error(nu), 2.0) > max_sub) {
428	–	max_sub = hist_sub->GetBinContent(i, j);
429	–	}
430	–	}
431	–	}
432	–	return max_sub / XbinSize / YbinSize;
433	–	}
434	–
435	–	void JetFitAnalyzer::ModelDefinition::initNewMeanX() {
436	–	vector< vector<double> > subEnergy = subtractCurrentFit(energy);
437	–
438	–	TH2D *hist_sub = new TH2D("hist_sub", "Subtracted histo",
439	–	subEnergy.size(), energy.Xlo,
440	–	energy.Xhi,
441	–	subEnergy[0].size(), energy.Ylo,
442	–	energy.Yhi);
443	–	fill_histo_with_vec(hist_sub, subEnergy);
444	–	max_sub = 0.0;
445	–	max_x = 0.0;
446	–	max_y = 0.0;
447	–	for (int i = 1; i <= hist_sub->GetXaxis()->GetNbins(); i++) {
448	–	for (int j = 1; j <= hist_sub->GetYaxis()->GetNbins(); j++) {
449	–	double nu = energy.bins[i-1][j-1] - subEnergy[i-1][j-1];
450	–	if (hist_sub->GetBinContent(i, j)
451	–	- 3.0*pow(chisquare_error(nu), 2.0) > max_sub) {
452	–	max_sub = hist_sub->GetBinContent(i, j);
453	–	max_x = static_cast<double>(i-1)*XbinSize
454	–	+ hist_sub->GetXaxis()->GetXmin();
455	–	}
456	–	}
457	–	}
458	–	return max_x;
459	–	}
460	–
461	–	void JetFitAnalyzer::ModelDefinition::initParsFromModelDef(vector<TString> &pars,
462	–	double *pval,
463	–	double *perr,
464	–	double *plo,
465	–	double *phi,
466	–	int npar,
467	–	FitResults r) {
468	–	unsigned nIndivPar = getFormula()->GetNpar();
469	–	for (unsigned i = 0;i < nIndivPar; i++) {
470	–	get_indiv_par(i, pars[i], pval[i], perr[i], plo[i], phi[i]);
471	–	}
472	–	}
473	–
474	–	void JetFitAnalyzer::ModelDefinition::findInitialValues(vector<TString> &pars,
475	–	double *pval,
476	–	double *perr,
477	–	double *plo,
478	–	double *phi,
479	–	int npar) {
480	–
481	–	int npar1 = npar - get_formula()->GetNpar();
482	–	if (ngauss <= 1) {
483	–	initParsFromModelDef(pars, pval, perr, plo, phi, npar, r);
484	–	}
485	–	else {
486	–	// try to get good initial parameters without model definitions
487	–	for (int i = npar1; i < npar; i++) {
488	–	if (get_indiv_max_E() == i - npar1) {
489	–	pval[i] = initNewN();
490	–	perr[i] = mdef->chisquare_error(pval[i])*0.5;
491	–	plo[i] = 0.0;
492	–	phi[i] = 1.0e6;
493	–	}
494	–	else if (get_indiv_max_x() == i - npar1) {
495	–	pval[i] = initNewMeanX();
496	–	perr[i] = (energy.Xhi - energy.Xlo) / static_cast<double>(hist->GetXaxis()->GetNbins());
497	–	plo[i] = 0.0;
498	–	phi[i] = 0.0;
499	–	}
500	–	else if (get_indiv_max_y() == i - npar1) {
501	–	pval[i] = initNewMeanY();
502	–	perr[i] = (energy.Yhi - energy.Ylo) / static_cast<double>(hist->GetYaxis()->GetNbins());
503	–	plo[i] = 0.0;
504	–	phi[i] = 0.0;
505	–	}
506	–	else {
507	–	string dummy;
508	–	get_indiv_par(i-npar1, dummy, pval[i], perr[i], plo[i], phi[i]);
509	–	}
510	–	}
511	–	}
512	–	}
513	–
514	–	void JetFitAnalyzer::ModelDefinition::par_init(TH2 *hist, TMinuit *gMinuit, vector<TString> &pars,
515	–	double *pval, double *perr, double *plo, double *phi,
516	–	int npar, FitResults r) {
517	–	findInitialValues(pars, pval, perr, plo, phi, npar, r);
518	–	for (int i = 0; i < n_pars_to_set; i++) {
519	–	double dummy;
520	–	string s;
521	–	int ipar = i + init_par_to_set;
522	–	get_indiv_par(i % get_formula()->GetNpar(), s,
523	–	dummy, dummy, dummy, dummy);
524	–	ostringstream par_oss;
525	–	par_oss << s << ipar / (get_formula()->GetNpar()) << flush;
526	–	pars.at(ipar) = TString(par_oss.str());
527	–
528	–	int error_flag;
529	–	gMinuit->mnparm(ipar, pars.at(ipar),
530	–	pval[ipar], perr[ipar], plo[ipar], phi[ipar], error_flag);
531	–	}
532	–	}
533	–
534	–	FitResults JetFitAnalyzer::putParsInFitResults(vector<TString> pars,
535	–	double *pval,
536	–	double *perr, double *plo, double *phi) {
537	–	FirResults r;
538	–	vector<double> pval_copy(npar);
539	–	vector<double> perr_copy(npar);
540	–	vector<double> plo_copy(npar);
541	–	vector<double> phi_copy(npar);
542	–	for (int i = 0; i < npar && i < 256; i++) {
543	–	pval_copy[i] = pval[i];
544	–	perr_copy[i] = perr[i];
545	–	plo_copy[i] = plo[i];
546	–	phi_copy[i] = phi[i];
547	–	}
548	–	r.pars.push_back(pars);
549	–	r.pval.push_back(pval_copy);
550	–	r.perr.push_back(perr_copy);
551	–	r.plo.push_back(plo_copy);
552	–	r.phi.push_back(phi_copy);
553	–	return r;
554	–	}
555	–
556	–	int JetFitAnalyzer::getNumberOfDegreesOfFreedom(VectorHisto energy,
557	–	int npar) {
558	–	int ndof = 0;
559	–	if (!ignorezero)
560	–	ndof = energy.bins.size() * energy.bins[0].size();
561	–	else {
562	–	for (int i = 0; i < energy.bins.size(); i++) {
563	–	for (int j = 0; j < energy.bins[i].size(); j++) {
564	–	if (energy.bins[i][j] > 1.0e-30)
565	–	ndof++;
566	–	}
567	–	}
568	–	}
569	–	ndof -= npar;
570	–	return ndof;
571	–	}
572	–
573	–	VectorHisto JetFitAnalyzer::loadTH2IntoVectorHisto(TH2 *th2) {
574	–	VectorHisto energy;
575	–	energy.bins.resize(hist_rebinned->GetXaxis()->GetNbins());
576	–	for (int i = 0; i < energy.bins.size(); i++) {
577	–	energy.bins[i].resize(hist_rebinned->GetYaxis()->GetNbins());
578	–	for (int j = 0; j < energy.bins[i].size(); j++) {
579	–	energy.bins[i][j] = hist_rebinned->GetBinContent(i+1, j+1);
580	–	}
581	–	}
582	–	energy.Xlo = hist->GetXaxis()->GetXmin();
583	–	energy.Xhi = hist->GetXaxis()->GetXmax();
584	–	energy.Ylo = hist->GetYaxis()->GetXmin();
585	–	energy.Yhi = hist->GetYaxis()->GetXmax();
586	–	return energy;
587	–	}
588	–
589	–	FitResults JetFitAnalyzer::fit_histo(TH2 *hist, vector<trouble> &t_vec,
590	–	void (*cc_minuit)(TMinuit *, TH2 *, int),
591	–	int start_ngauss,
592	–	int rebinX, int rebinY,
593	–	double P_cutoff_val) {
594	–	TMinuit *gMinuit = new TMinuit();
595	–	int npar_indiv = mdef->get_formula()->GetNpar();
596	–	int istat, erflg;
597	–	FitResults r;
598	–
599	–	gMinuit->SetFCN(fcn);
600	–	gMinuit->mninit(5, 6, 7);
601	–
602	–	// set error def and machine accuracy
603	–	double cs_err_def = 1.0;
604	–	double fcn_eps = 0.2;
605	–	gMinuit->mnexcm("SET ERR", &cs_err_def, 1, erflg);
606	–	gMinuit->mnexcm("SET EPS", &fcn_eps, 1, erflg);
607	–
608	–	// rebin histogram
609	–	TH2 *hist_rebinned;
610	–	if (rebinX_ > 1 && rebinY_ > 1)
611	–	hist_rebinned = hist->Rebin2D(rebinX_, rebinY_);
612	–	else
613	–	hist_rebinned = hist;
614	–
615	–	r.hist_rebinned = hist_rebinned;
616	–
617	–	// load histogram into energies vector
618	–	energy = loadTH2IntoVectorHisto(hist);
619	–
620	–	if (start_ngauss < 1) {
621	–	start_ngauss = 1;
622	–	}
623	–
624	–	for (mdef->set_ngauss(start_ngauss);
625	–	mdef->get_ngauss() <=
626	–	(MAX_GAUSS > start_ngauss ? MAX_GAUSS : start_ngauss);
627	–	mdef->set_ngauss(mdef->get_ngauss()+1)) {
628	–
629	–	int ngauss = mdef->get_ngauss();
630	–	t_vec.resize(t_vec.size() + 1);
631	–	int npar = npar_indiv*mdef->get_ngauss();
632	–	double pval[256], perr[256], plo[256], phi[256];
633	–	if (npar > 256) {
634	–	cerr << "Parameter overload" << endl;
635	–	return r;
636	–	}
637	–	vector<TString> pars(npar);
638	–
639	–	// initialize parameters
640	–	mdef->par_init(hist, gMinuit, pars, pval, perr, plo, phi, npar, r);
641	–
642	–	// minimize
643	–	double chisquare, edm, errdef;
644	–	int nvpar, nparx;
645	–	trouble t;
646	–	t.occ = T_NULL;
647	–	t.istat = 3;
648	–	// fix sigmas of the Gaussians
649	–	for (int i = 0; i < ngauss; i++) {
650	–	double parno[2];
651	–	parno[0] = i*npar_indiv + 4;
652	–	gMinuit->mnexcm("FIX", parno, 1, erflg);
653	–	}
654	–	gMinuit->mnexcm("SIMPLEX", 0, 0, erflg);
655	–	gMinuit->mnexcm("MIGRAD", 0, 0, erflg);
656	–	gMinuit->mnstat(chisquare, edm, errdef, nvpar, nparx, istat);
657	–	if (istat == 3) {
658	–	/* we're not concerned about MINOS errors right now
659	–	gMinuit->mnexcm("MINOS", 0, 0, erflg);
660	–	gMinuit->mnstat(chisquare, edm, errdef, nvpar, nparx, istat);
661	–	if (istat != 3) {
662	–	t.occ = T_MINOS;
663	–	t.istat = istat;
664	–	}
665	–	*/
666	–	}
667	–	else {
668	–	t.occ = T_MIGRAD;
669	–	t.istat = istat;
670	–	}
671	–
672	–	try {
673	–	if (t_vec.size() < ngauss) {
674	–	t_vec.resize(ngauss);
675	–	}
676	–	t_vec.at(ngauss-1) = t;
677	–	}
678	–	catch (exception ex) {
679	–	cerr << "exception in fit_histo" << endl;
680	–	}
681	–
682	–	// put parameters in results structure
683	–	for (int i = 0; i < npar && i < 256; i++) {
684	–	int iuint; // internal parameter number
685	–	gMinuit->mnpout(i, pars[i], pval[i], perr[i], plo[i], phi[i], iuint);
686	–	}
687	–	r = putParsInFitResults(pars, pval, perr, plo, phi);
688	–
689	–	// execute user minuit code
690	–	if (cc_minuit != 0)
691	–	(*cc_minuit)(gMinuit, hist_rebinned, ngauss);
692	–
693	–	// calculate number of degrees of freedom
694	–	int ndof = getNumberOfDegreesOfFreedom(energy, npar);
695	–
696	–	r.chisquare.push_back(chisquare);
697	–	double P = TMath::Prob(chisquare, ndof);
698	–	if (P > P_cutoff_val) {
699	–	break;
700	–	}
701	–	}
702	–
703	–	delete gMinuit;
704	–	return r;
705	–	}
706	–
30		JetFitAnalyzer::JetFitAnalyzer(const edm::ParameterSet& iConfig)
708	–	: user_minuit(0)
31		{
32		// get parameters from iConfig
711	–	ignorezero_ = iConfig.getUntrackedParameter("ignorezero", false);
712	–	rebinX_ = iConfig.getUntrackedParameter("rebinX", 1);
713	–	rebinY_ = iConfig.getUntrackedParameter("rebinY", 1);
33		P_cutoff_val_ = iConfig.getUntrackedParameter("P_cutoff_val", 0.5);
34
716	–	jetfit::set_ignorezero(ignorezero_);
35		}
36
37
#	Line 736 | Line 54 | JetFitAnalyzer::analyze(const edm::Event
54		{
55		using namespace edm;
56
57	<	std::vector<jetfit::trouble> t;
57	>	HistoFitter histoFitter;
58	>	std::vector<HistoFitter::Trouble> t;
59
60		TH2D *histo = make_histo(iEvent, iSetup);
61		if (histo != 0) {
62	<	jetfit::ModelDefinition &_mdef = make_model_def(iEvent, iSetup, histo);
63	<	jetfit::results r(fit_histo(histo, t, user_minuit,
64	<	_mdef.get_n_special_par_sets(),
746	<	rebinX_, rebinY_, P_cutoff_val_));
62	>	HistoFitter::ModelDefinition &_mdef = make_model_def(iEvent, iSetup, histo);
63	>	histoFitter.set_ModelDefinition(&_mdef);
64	>	HistoFitter::FitResults r(histoFitter.fit_histo(histo, t, 1, P_cutoff_val_));
65		analyze_results(r, t, histo);
66		}
67		else {

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