]> git.uio.no Git - u/mrichter/AliRoot.git/blame - PWG2/SPECTRA/Fit/AliBWTools.cxx
Request by Martin: added flag for big output
[u/mrichter/AliRoot.git] / PWG2 / SPECTRA / Fit / AliBWTools.cxx
CommitLineData
4c0d7bc7 1// ----------------------------------------------------------------------
2// AliBWTools
3//
4// This class provides some tools which can be useful in the analsis
5// of spectra, to fit or transform histograms. See the comments of the
6// individual methods for details
7//
8// Author: M. Floris (CERN)
9// ----------------------------------------------------------------------
10
11#include "AliBWTools.h"
12#include "TH1D.h"
13#include "TF1.h"
14#include "TH1.h"
15#include "TMath.h"
16#include "TGraphErrors.h"
17#include "TVirtualFitter.h"
18#include "TMinuit.h"
19#include "AliLog.h"
20#include <iostream>
21
22using namespace std;
23
4c0d7bc7 24
25ClassImp(AliBWTools)
26
27AliBWTools::AliBWTools() {
28 // ctor
29}
30
31AliBWTools::~AliBWTools(){
32 // dtor
33}
34
3beb22a2 35TH1 * AliBWTools::GetdNdmtFromdNdpt(const TH1 * hpt, Double_t mass) {
4c0d7bc7 36 // convert the x axis from pt to mt. Assumes you have 1/pt dNdpt in the histo you start with
37
38 Int_t nbins = hpt->GetNbinsX();
39 Float_t * xbins = new Float_t[nbins+1];
40 for(Int_t ibins = 0; ibins <= nbins; ibins++){
41 xbins[ibins] = TMath::Sqrt(hpt->GetBinLowEdge(ibins+1)*hpt->GetBinLowEdge(ibins+1) +
0e019ec6 42 mass *mass) - mass;
77233d47 43 // // xbins[ibins] = TMath::Sqrt(hpt->GetBinLowEdge(ibins+1)*hpt->GetBinLowEdge(ibins+1) +
44 // // mass *mass);
4c0d7bc7 45 // cout << ibins << " "<< xbins[ibins] << endl;
46
47 }
48
49 TH1D * hmt = new TH1D(TString(hpt->GetName())+"_mt",
50 TString(hpt->GetName())+"_mt",
51 nbins, xbins);
52 for(Int_t ibins = 1; ibins <= nbins; ibins++){
53 hmt->SetBinContent(ibins, hpt->GetBinContent(ibins));
54 hmt->SetBinError(ibins, hpt->GetBinError(ibins));
55
56 }
57
58 hmt->SetXTitle("m_{t} - m_{0} (GeV/c^{2})");
59 hmt->SetYTitle("1/m_{t} dN/dm_{t} (a.u.)");
0e019ec6 60 hmt->SetMarkerStyle(hpt->GetMarkerStyle());
61 hmt->SetMarkerColor(hpt->GetMarkerColor());
62 hmt->SetLineColor(hpt->GetLineColor());
63
4c0d7bc7 64 return hmt;
65
66}
67
9ca56c22 68TH1 * AliBWTools::GetdNdptFromdNdmt(const TH1 * hmt, Double_t mass) {
69 // convert the x axis from mt to pt. Assumes you have 1/mt dNdmt in the histo you start with
70
71 Int_t nbins = hmt->GetNbinsX();
72 Float_t * xbins = new Float_t[nbins+1];
73 for(Int_t ibins = 0; ibins <= nbins; ibins++){
74 xbins[ibins] = TMath::Sqrt((hmt->GetBinLowEdge(ibins+1)+mass)*(hmt->GetBinLowEdge(ibins+1)+mass) -
75 mass *mass);
76 xbins[ibins] = Float_t(TMath::Nint(xbins[ibins]*100))/100;
77 // // xbins[ibins] = TMath::Sqrt(hmt->GetBinLowEdge(ibins+1)*hmt->GetBinLowEdge(ibins+1) +
78 // // mass *mass);
79 cout << ibins << " "<< xbins[ibins] << endl;
80
81 }
82
83 TH1D * hptL = new TH1D(TString(hmt->GetName())+"_pt",
84 TString(hmt->GetName())+"_pt",
85 nbins, xbins);
86 for(Int_t ibins = 1; ibins <= nbins; ibins++){
87 hptL->SetBinContent(ibins, hmt->GetBinContent(ibins));
88 hptL->SetBinError(ibins, hmt->GetBinError(ibins));
89
90 }
91
92 hptL->SetXTitle("p_{t} (GeV/c)");
93 hptL->SetYTitle("1/p_{t} dN/dp_{t} (a.u.)");
94 hptL->SetMarkerStyle(hmt->GetMarkerStyle());
95 hptL->SetMarkerColor(hmt->GetMarkerColor());
96 hptL->SetLineColor(hmt->GetLineColor());
97
98 return hptL;
99
100}
101
102
3beb22a2 103TH1 * AliBWTools::GetdNdPtFromOneOverPt(const TH1 * h1Pt) {
4c0d7bc7 104
105 // convert an histo from 1/pt dNdpt to dNdpt, using the pt at the center of the bin
106
107
108 TH1 * hPt = (TH1 *) h1Pt->Clone((TString(h1Pt->GetName()) + "_inv").Data());
109 hPt->Reset();
110
111 Int_t nbinx = hPt->GetNbinsX();
112
113 for(Int_t ibinx = 1; ibinx <= nbinx; ibinx++){
114
115 Double_t cont = h1Pt->GetBinContent(ibinx);
116 Double_t err = h1Pt->GetBinError(ibinx);
117
118 Double_t pt = h1Pt->GetBinCenter(ibinx);
119
c3c47c65 120 if(pt > 0) {
4c0d7bc7 121 cont *= pt;
122 err *= pt;
123 } else {
124 cont = 0;
125 err = 0;
126 }
127
128 hPt->SetBinContent(ibinx, cont);
129 hPt->SetBinError(ibinx, err);
130
131 }
132
133 hPt->SetXTitle("p_{t} (GeV)");
134 hPt->SetYTitle("dN/dp_{t} (GeV^{-2})");
135
136 return hPt;
137
138}
139
140
141
142
3beb22a2 143TH1 * AliBWTools::GetOneOverPtdNdPt(const TH1 * hPt) {
4c0d7bc7 144
145 // convert an histo from dNdpt to 1/pt dNdpt, using the pt at the center of the bin
146
147 TH1 * h1Pt = (TH1 *) hPt->Clone((TString(hPt->GetName()) + "_inv").Data());
148 h1Pt->Reset();
149
150 Int_t nbinx = h1Pt->GetNbinsX();
151
152 for(Int_t ibinx = 1; ibinx <= nbinx; ibinx++){
153
154 Double_t cont = hPt->GetBinContent(ibinx);
155 Double_t err = hPt->GetBinError(ibinx);
156
157 Double_t pt = hPt->GetBinCenter(ibinx);
158
c3c47c65 159 if(pt > 0) {
4c0d7bc7 160 cont /= pt;
161 err /= pt;
162 } else {
163 cont = 0;
164 err = 0;
165 }
166
167 h1Pt->SetBinContent(ibinx, cont);
168 h1Pt->SetBinError(ibinx, err);
169
170 }
171
172 h1Pt->SetXTitle("p_{t} (GeV)");
173 h1Pt->SetYTitle("1/p_{t} dN/dp_{t} (GeV^{-2})");
174
175 return h1Pt;
176
177}
178
179
3beb22a2 180TGraphErrors * AliBWTools::GetGraphFromHisto(const TH1F * h, Bool_t binWidth) {
4c0d7bc7 181 // Convert a histo to a graph
182 // if binWidth is true ex is set to the bin width of the histos, otherwise it is set to zero
183 Int_t nbin = h->GetNbinsX();
184
185 TGraphErrors * g = new TGraphErrors();
186 Int_t ipoint = 0;
187 for(Int_t ibin = 1; ibin <= nbin; ibin++){
188 Double_t xerr = binWidth ? h->GetBinWidth(ibin)/2 : 0;
3beb22a2 189 if (h->GetBinContent(ibin)) {
4c0d7bc7 190 g->SetPoint (ipoint, h->GetBinCenter(ibin), h->GetBinContent(ibin));
191 g->SetPointError(ipoint, xerr, h->GetBinError(ibin));
192 ipoint++;
193 }
194 }
195
196 g->SetMarkerStyle(h->GetMarkerStyle());
197 g->SetMarkerColor(h->GetMarkerColor());
198 g->SetLineColor(h->GetLineColor());
2210b002 199 g->SetLineStyle(h->GetLineStyle());
200 g->SetLineWidth(h->GetLineWidth());
4c0d7bc7 201
202 g->SetTitle(h->GetTitle());
203 g->SetName(TString("g_")+h->GetName());
204
205 return g;
206
207}
208
3beb22a2 209TH1F * AliBWTools::GetHistoFromGraph(const TGraphErrors * g, const TH1F* hTemplate) {
4c0d7bc7 210
211 // convert a graph to histo with the binning of hTemplate.
212 // Warning: the template should be chosen
213 // properly: if you have two graph points in the same histo bin this
214 // won't work!
215
216 TH1F * h = (TH1F*) hTemplate->Clone(TString("h_")+g->GetName());
217 h->Reset();
218 Int_t npoint = g->GetN();
219 // g->Print();
220 for(Int_t ipoint = 0; ipoint < npoint; ipoint++){
221 Float_t x = g->GetX() [ipoint];
222 Float_t y = g->GetY() [ipoint];
223 Float_t ey = g->GetEY()[ipoint];
224 Int_t bin = h->FindBin(x);
225 // cout << "bin: "<< bin << " -> " << x << ", "<< y <<", " << ey << endl;
226
227 h->SetBinContent(bin,y);
228 h->SetBinError (bin,ey);
229 }
230
231 h->SetMarkerStyle(g->GetMarkerStyle());
232 h->SetMarkerColor(g->GetMarkerColor());
233 h->SetLineColor (g->GetLineColor());
234
235
236 return h;
237}
238
3beb22a2 239TGraphErrors * AliBWTools::ConcatenateGraphs(const TGraphErrors * g1,const TGraphErrors * g2){
4c0d7bc7 240
241 // concatenates two graphs
242
243 Int_t npoint1=g1->GetN();
244 Int_t npoint2=g2->GetN();
245
246 TGraphErrors * gClone = (TGraphErrors*) g1->Clone();
247
248// for(Int_t ipoint = 0; ipoint < npoint1; ipoint++){
249// gClone->SetPointError(ipoint,0,g1->GetEY()[ipoint]);
250
251// }
252 for(Int_t ipoint = 0; ipoint < npoint2; ipoint++){
253 gClone->SetPoint(ipoint+npoint1,g2->GetX()[ipoint],g2->GetY()[ipoint]);
254 gClone->SetPointError(ipoint+npoint1,g2->GetEX()[ipoint],g2->GetEY()[ipoint]);
255 // gClone->SetPointError(ipoint+npoint1,0,g2->GetEY()[ipoint]);
256 }
257
258 gClone->GetHistogram()->GetXaxis()->SetTimeDisplay(1);
259 gClone->SetTitle(TString(gClone->GetTitle())+" + "+g2->GetTitle());
260 gClone->SetName(TString(gClone->GetName())+"_"+g2->GetName());
261
262 return gClone;
263}
264
265
3beb22a2 266TH1F * AliBWTools::Combine3HistosWithErrors(const TH1 * h1, const TH1 * h2, const TH1* h3,
3725266c 267 TH1 * he1, TH1 * he2, TH1 * he3,
3beb22a2 268 const TH1* htemplate, Int_t statFrom,
3725266c 269 Float_t renorm1, Float_t renorm2, Float_t renorm3,
270 TH1 ** hSyst, Bool_t errorFromBinContent) {
ee08b77d 271
272 // Combines 3 histos (h1,h2,h3), weighting by the errors provided in
273 // he1,he2,he3, supposed to be the independent systematic errors.
274 // he1,he2,he3 are also assumed to have the same binning as h1,h2,h3
275 // The combined histo must fit the template provided (no check is performed on this)
276 // The histogram are supposed to come from the same (nearly) sample
277 // of tracks. statFrom tells the stat error of which of the 3 is
278 // going to be assigned to the combined
279 // Optionally, it is possible to rescale any of the histograms.
3725266c 280 // if hSyst is give, the histo is filled with combined syst error vs pt
281 // if errorFromBinContent is true, the weights are taken from the he* content rather than errors
ee08b77d 282 TH1F * hcomb = (TH1F*) htemplate->Clone(TString("hComb_")+h1->GetName()+"_"+h2->GetName()+h3->GetName());
283
284 // TODO: I should have used an array for h*local...
285
286 // Clone histos locally to rescale them
287 TH1F * h1local = (TH1F*) h1->Clone();
288 TH1F * h2local = (TH1F*) h2->Clone();
289 TH1F * h3local = (TH1F*) h3->Clone();
290 h1local->Scale(renorm1);
291 h2local->Scale(renorm2);
292 h3local->Scale(renorm3);
293
3beb22a2 294 const TH1 * hStatError = 0;
ee08b77d 295 if (statFrom == 0) hStatError = h1;
296 else if (statFrom == 1) hStatError = h2;
297 else if (statFrom == 2) hStatError = h3;
37e1d042 298 else {
299 Printf("AliBWTools::Combine3HistosWithErrors: wrong value of the statFrom parameter");
300 return NULL;
301 }
ee08b77d 302 Printf("AliBWTools::Combine3HistosWithErrors: improve error on combined");
303 // Loop over all bins and take weighted mean of all points
304 Int_t nBinComb = hcomb->GetNbinsX();
305 for(Int_t ibin = 1; ibin <= nBinComb; ibin++){
306 Int_t ibin1 = h1local->FindBin(hcomb->GetBinCenter(ibin));
307 Int_t ibin2 = h2local->FindBin(hcomb->GetBinCenter(ibin));
308 Int_t ibin3 = h3local->FindBin(hcomb->GetBinCenter(ibin));
309 Int_t ibinError = -1; // bin used to get stat error
310
311 if (statFrom == 0) ibinError = ibin1;
312 else if (statFrom == 1) ibinError = ibin2;
313 else if (statFrom == 2) ibinError = ibin3;
314 else Printf("AliBWTools::Combine3HistosWithErrors: wrong value of the statFrom parameter");
315
316
317 Double_t y[3];
318 Double_t ye[3];
319 y[0] = h1local->GetBinContent(ibin1);
320 y[1] = h2local->GetBinContent(ibin2);
321 y[2] = h3local->GetBinContent(ibin3);
3725266c 322 if (errorFromBinContent) {
323 ye[0] = he1->GetBinContent(he1->FindBin(hcomb->GetBinCenter(ibin)));
324 ye[1] = he2->GetBinContent(he2->FindBin(hcomb->GetBinCenter(ibin)));
325 ye[2] = he3->GetBinContent(he3->FindBin(hcomb->GetBinCenter(ibin)));
326 } else {
327 ye[0] = he1->GetBinError(ibin1);
328 ye[1] = he2->GetBinError(ibin2);
329 ye[2] = he3->GetBinError(ibin3);
330 }
ee08b77d 331 // Set error to 0 if content is 0 (means it was not filled)
3beb22a2 332 if(!h1local->GetBinContent(ibin1)) ye[0] = 0;
333 if(!h2local->GetBinContent(ibin2)) ye[1] = 0;
334 if(!h3local->GetBinContent(ibin3)) ye[2] = 0;
ee08b77d 335
336 // Compute weighted mean
3725266c 337 // cout << "Bins: "<< ibin1 << " " << ibin2 << " " << ibin3 << endl;
ee08b77d 338 Double_t mean, err;
339 WeightedMean(3,y,ye,mean,err);
340
341
342 // Fill combined
ee08b77d 343 hcomb->SetBinContent(ibin,mean);
344 Double_t statError = 0;
3beb22a2 345 if (hStatError->GetBinContent(ibinError)) {
ee08b77d 346 // cout << "def" << endl;
347 statError = hStatError->GetBinError(ibinError)/hStatError->GetBinContent(ibinError)*hcomb->GetBinContent(ibin);
348 }
3beb22a2 349 else if (h1local->GetBinContent(ibin1)) {
ee08b77d 350 // cout << "1" << endl;
351 statError = h1local->GetBinError(ibin1)/h1local->GetBinContent(ibin1)*hcomb->GetBinContent(ibin);
352 }
3beb22a2 353 else if (h2local->GetBinContent(ibin2)) {
ee08b77d 354 // cout << "2" << endl;
355 statError = h2local->GetBinError(ibin2)/h2local->GetBinContent(ibin2)*hcomb->GetBinContent(ibin);
356 }
3beb22a2 357 else if (h3local->GetBinContent(ibin3)) {
ee08b77d 358 // cout << "3" << endl;
359 statError = h3local->GetBinError(ibin3)/h3local->GetBinContent(ibin3)*hcomb->GetBinContent(ibin);
360 }
361 hcomb->SetBinError (ibin,statError);
3725266c 362 if(hSyst) (*hSyst)->SetBinContent(ibin,err);
ee08b77d 363 // cout << "BIN " << ibin << " " << mean << " " << statError << endl;
364
365 }
366
367 hcomb->SetMarkerStyle(hStatError->GetMarkerStyle());
368 hcomb->SetMarkerColor(hStatError->GetMarkerColor());
369 hcomb->SetLineColor (hStatError->GetLineColor());
370
371 hcomb->SetXTitle(hStatError->GetXaxis()->GetTitle());
372 hcomb->SetYTitle(hStatError->GetYaxis()->GetTitle());
373
374 delete h1local;
375 delete h2local;
376 delete h3local;
377
378 return hcomb;
379}
380
381
ddecf727 382void AliBWTools::GetMeanDataAndExtrapolation(const TH1 * hData, TF1 * fExtrapolation, Double_t &mean, Double_t &error, Float_t min, Float_t max){
383 // Computes the mean of the combined data and extrapolation in a
384 // given range, use data where they are available and the function
385 // where data are not available
386 // ERROR is from DATA ONLY returned in this version!
387 //
388 Printf("AliBWTools::GetMeanDataAndExtrapolation: WARNING from data only");
389 Float_t minData = GetLowestNotEmptyBinEdge (hData);
58eeda84 390 Int_t minDataBin = GetLowestNotEmptyBin (hData);
ddecf727 391 Float_t maxData = GetHighestNotEmptyBinEdge(hData);
58eeda84 392 Int_t maxDataBin = GetHighestNotEmptyBin (hData);
ddecf727 393 Double_t integral = 0;
394 mean = 0;
395 error = 0;
396 if (min < minData) {
397 // Compute integral exploiting root function to calculate moments, "unnormalizing" them
398 mean += fExtrapolation->Mean(min,minData)*fExtrapolation->Integral(min,minData);
399 integral += fExtrapolation->Integral(min,minData);
400 cout << " Low "<< mean << " " << integral << endl;
401
402 }
403
404 if (max > maxData) {
405 // Compute integral exploiting root function to calculate moments, "unnormalizing" them
406 mean += fExtrapolation->Mean(maxData,max)*fExtrapolation->Integral(maxData,max);
407 integral += fExtrapolation->Integral(maxData,max);
408 cout << " Hi "<< mean << " " << integral << endl;
409 }
410 Float_t err2 = 0;
411
412 for(Int_t ibin = minDataBin; ibin <= maxDataBin; ibin++){
413 if(hData->GetBinCenter(ibin) < min) continue;
414 if(hData->GetBinCenter(ibin) > max) continue;
415 mean = mean + (hData->GetBinCenter(ibin) * hData->GetBinWidth(ibin)* hData->GetBinContent(ibin));
416 err2 = err2 + TMath::Power(hData->GetBinError(ibin) * hData->GetBinCenter(ibin) * hData->GetBinWidth(ibin),2);
417 integral = integral + hData->GetBinContent(ibin) * hData->GetBinWidth(ibin);
418 }
419 cout << " Data "<< mean << " " << integral << endl;
420
421 mean = mean/integral;
ffcaf7be 422 error = TMath::Sqrt(err2)/integral;
ddecf727 423
4c0d7bc7 424
ddecf727 425}
426
427TH1F * AliBWTools::CombineHistos(const TH1 * h1, TH1 * h2, const TH1* htemplate, Float_t renorm1){
4c0d7bc7 428 // Combine two histos. This assumes the histos have the same binning
429 // in the overlapping region. It computes the arithmetic mean in the
430 // overlapping region and assigns as an error the relative error
431 // h2. TO BE IMPROVED
432
433 TH1F * hcomb = (TH1F*) htemplate->Clone(TString(h1->GetName())+"_"+h2->GetName());
434
435 TH1F * h1local = (TH1F*) h1->Clone();
436 h1local->Scale(renorm1);
437
438 Int_t nBinComb = hcomb->GetNbinsX();
439 for(Int_t ibin = 1; ibin <= nBinComb; ibin++){
440 Int_t ibin1 = h1local->FindBin(hcomb->GetBinCenter(ibin));
441 Int_t ibin2 = h2->FindBin(hcomb->GetBinCenter(ibin));
442
3beb22a2 443 if (!h1local->GetBinContent(ibin1) && !h2->GetBinContent(ibin2) ) {
4c0d7bc7 444 // None has data: go to next bin
445 hcomb->SetBinContent(ibin,0);
446 hcomb->SetBinError (ibin,0);
3beb22a2 447 } else if(h1local->GetBinContent(ibin1) && !h2->GetBinContent(ibin2)) {
4c0d7bc7 448 // take data from h1local:
449 hcomb->SetBinContent(ibin,h1local->GetBinContent(ibin1));
450 hcomb->SetBinError (ibin,h1local->GetBinError(ibin1));
3beb22a2 451 } else if(!h1local->GetBinContent(ibin1) && h2->GetBinContent(ibin2)) {
4c0d7bc7 452 // take data from h2:
453 hcomb->SetBinContent(ibin,h2->GetBinContent(ibin2));
454 hcomb->SetBinError (ibin,h2->GetBinError(ibin2));
455 } else {
456 hcomb->SetBinContent(ibin,(h1local->GetBinContent(ibin1) +h2->GetBinContent(ibin2))/2);
457 // hcomb->SetBinError (ibin,h1local->GetBinError(ibin1)/h1local->GetBinContent(ibin1)*hcomb->GetBinContent(ibin));
458 hcomb->SetBinError (ibin,h2->GetBinError(ibin2)/h2->GetBinContent(ibin2)*hcomb->GetBinContent(ibin));
459 }
460
461
462 }
463
464
465 hcomb->SetMarkerStyle(h1local->GetMarkerStyle());
466 hcomb->SetMarkerColor(h1local->GetMarkerColor());
467 hcomb->SetLineColor (h1local->GetLineColor());
468
469 hcomb->SetXTitle(h1local->GetXaxis()->GetTitle());
470 hcomb->SetYTitle(h1local->GetYaxis()->GetTitle());
471 delete h1local;
472 return hcomb;
473
474}
475
476
3beb22a2 477void AliBWTools::GetFromHistoGraphDifferentX(const TH1F * h, TF1 * f, TGraphErrors ** gBarycentre, TGraphErrors ** gXlw) {
4c0d7bc7 478
479 // Computes the baycentre in each bin and the xlw as defined in NIMA
480 // 355 - 541 using f. Returs 2 graphs with the same y content of h
481 // but with a different x (barycentre and xlw)
482
483 Int_t nbin = h->GetNbinsX();
484
485 (*gBarycentre) = new TGraphErrors();
486 (*gXlw) = new TGraphErrors();
487
488 Int_t ipoint = 0;
489 for(Int_t ibin = 1; ibin <= nbin; ibin++){
490 Float_t min = h->GetBinLowEdge(ibin);
491 Float_t max = h->GetBinLowEdge(ibin+1);
492 Double_t xerr = 0;
493 Double_t xbar = f->Mean(min,max);
c3c47c65 494 // compute xLW
4c0d7bc7 495 Double_t temp = 1./(max-min) * f->Integral(min,max);
496 Double_t epsilon = 0.000000001;
497 Double_t increment = 0.0000000001;
c3c47c65 498 Double_t xLW = min;
4c0d7bc7 499
c3c47c65 500 while ((f->Eval(xLW)- temp) > epsilon) {
501 xLW += increment;
502 if(xLW > max) {
503 Printf("Cannot find xLW");
4c0d7bc7 504 break;
505 }
506 }
507
508 if (h->GetBinContent(ibin)!=0) {
509 (*gBarycentre)->SetPoint (ipoint, xbar, h->GetBinContent(ibin));
510 (*gBarycentre)->SetPointError(ipoint, xerr, h->GetBinError(ibin));
c3c47c65 511 (*gXlw) ->SetPoint (ipoint, xLW, h->GetBinContent(ibin));
4c0d7bc7 512 (*gXlw) ->SetPointError(ipoint, xerr, h->GetBinError(ibin));
513 ipoint++;
514 }
515 }
516
517 (*gBarycentre)->SetMarkerStyle(h->GetMarkerStyle());
518 (*gBarycentre)->SetMarkerColor(h->GetMarkerColor());
519 (*gBarycentre)->SetLineColor(h->GetLineColor());
520
521 (*gBarycentre)->SetTitle(h->GetTitle());
522 (*gBarycentre)->SetName(TString("g_")+h->GetName());
523
524 (*gXlw)->SetMarkerStyle(h->GetMarkerStyle());
525 (*gXlw)->SetMarkerColor(h->GetMarkerColor());
526 (*gXlw)->SetLineColor(h->GetLineColor());
527 (*gXlw)->SetTitle(h->GetTitle());
528 (*gXlw)->SetName(TString("g_")+h->GetName());
529
530
531}
532
533
ddecf727 534Float_t AliBWTools::GetMean(TH1F * h, Float_t min, Float_t max, Float_t * error) {
4c0d7bc7 535
3472a634 536 // Get the mean of histo in a range; root is not reliable in sub
537 // ranges with variable binning.
4c0d7bc7 538 Int_t minBin = h->FindBin(min);
ddecf727 539 Int_t maxBin = h->FindBin(max-0.00001);
4c0d7bc7 540
541 Float_t mean = 0 ;
542 Float_t integral = 0;
ddecf727 543 Float_t err2 = 0;
544 for(Int_t ibin = minBin; ibin <= maxBin; ibin++){
4c0d7bc7 545 mean = mean + (h->GetBinCenter(ibin) * h->GetBinWidth(ibin)* h->GetBinContent(ibin));
ddecf727 546 err2 = err2 + TMath::Power(h->GetBinError(ibin) * h->GetBinCenter(ibin) * h->GetBinWidth(ibin),2);
4c0d7bc7 547 integral = integral + h->GetBinContent(ibin) * h->GetBinWidth(ibin);
548 }
549
ddecf727 550 Float_t value = mean/integral;
551 if (error) (*error) = TMath::Sqrt(err2);
552 return value;
4c0d7bc7 553
554
555}
556
3472a634 557void AliBWTools::GetMean(TF1 * func, Float_t &mean, Float_t &error, Float_t min, Float_t max, Int_t normPar) {
4c0d7bc7 558
3472a634 559 // Get the mean of function in a range; If normPar is >= 0, it means
560 // that the function is defined such that par[normPar] is its
561 // integral. In this case the error on meanpt can be calculated
562 // correctly. Otherwise, the function is normalized in get moment,
563 // but the error is not computed correctly.
4c0d7bc7 564
3472a634 565 return GetMoment("fMean", TString("x*")+func->GetExpFormula(), func, mean, error, min, max, normPar);
4c0d7bc7 566
567}
568
3472a634 569void AliBWTools::GetMeanSquare(TF1 * func, Float_t &mean, Float_t &error, Float_t min, Float_t max, Int_t normPar) {
4c0d7bc7 570
3472a634 571 // Get the mean2 of function in a range; If normPar is >= 0, it means
572 // that the function is defined such that par[normPar] is its
573 // integral. In this case the error on meanpt can be calculated
574 // correctly. Otherwise, the function is normalized in get moment,
575 // but the error is not computed correctly.
4c0d7bc7 576
3472a634 577 return GetMoment("fMean2", TString("x*x*")+func->GetExpFormula(), func, mean, error, min, max, normPar);
4c0d7bc7 578
579
580}
581
3472a634 582void AliBWTools::GetMoment(TString name, TString var, TF1 * func, Float_t &mean, Float_t &error, Float_t min, Float_t max, Int_t normPar) {
4c0d7bc7 583
584 // returns the integral of a function derived from func by prefixing some operation.
3472a634 585 // the derived function MUST have the same parameter in the same order
4c0d7bc7 586 // Used as a base method for mean and mean2
3472a634 587 // If normPar is >= 0, it means that the function is defined such
588 // that par[normPar] is its integral. In this case the error on
589 // meanpt can be calculated correctly. Otherwise, the function is
590 // normalized using its numerical integral, but the error is not computed
591 // correctly.
592
593 // TODO:
594 // - improve to propagate error also in the case you need the
595 // numerical integrals (will be rather slow)
596 // - this version assumes that func is defined using a
597 // TFormula. Generalize to the case of a C++ function
598
599 if (normPar<0) Printf("AliBWTools::GetMoment: Warning: If normalization is required, the error may bot be correct");
600 if (!strcmp(func->GetExpFormula(),"")) Printf("AliBWTools::GetMoment: Warning: Empty formula in the base function");
4c0d7bc7 601 Int_t npar = func->GetNpar();
602
3472a634 603 // Definition changes according to the value of normPar
604 TF1 * f = normPar < 0 ?
605 new TF1(name, var) : // not normalized
606 new TF1(name, var+Form("/[%d]",normPar)); // normalized with par normPar
607
608 // integr is used to normalize if no parameter is provided
609 Double_t integr = normPar < 0 ? func->Integral(min,max) : 1;
4c0d7bc7 610
611 // The parameter of the function used to compute the mean should be
612 // the same as the parent function: fixed if needed and they should
613 // also have the same errors.
614
615 // cout << "npar :" << npar << endl;
616
617 for(Int_t ipar = 0; ipar < npar; ipar++){
618 Double_t parmin, parmax;
619 Double_t value = func->GetParameter(ipar);
3472a634 620 f->SetParameter(ipar,value);
4c0d7bc7 621 func->GetParLimits(ipar, parmin, parmax);
622 if ( parmin == parmax ) {
3beb22a2 623 // if ( parmin || (parmin == 1 && !value) ) { // not sure we I check parmin == 1 here.
624 if ( parmin || (TMath::Abs(parmin-1)<0.000001 && !value) ) { // not sure we I check parmin == 1 here. Changed like this because of coding conventions. Does it still work? FIXME
4c0d7bc7 625 f->FixParameter(ipar,func->GetParameter(ipar));
626 // cout << "Fixing " << ipar << "("<<value<<","<<parmin<<","<<parmax<<")"<<endl;
627 }
628 else {
629 f->SetParError (ipar,func->GetParError(ipar) );
630 // cout << "Setting Err" << ipar << "("<<func->GetParError(ipar)<<")"<<endl;
631 }
632 }
633 else {
634 f->SetParError (ipar,func->GetParError(ipar) );
635 // cout << "Setting Err" << ipar << "("<<func->GetParError(ipar)<<")"<<endl;
636 }
637 }
3472a634 638
639// f->Print();
640// cout << "----" << endl;
641// func->Print();
642
643 mean = normPar < 0 ? f->Integral (min,max)/integr : f->Integral (min,max);
644 error = normPar < 0 ? f->IntegralError(min,max)/integr : f->IntegralError(min,max);
4c0d7bc7 645// cout << "Mean " << mean <<"+-"<< error<< endl;
646// cout << "Integral Error " << error << endl;
647
648}
649
4c0d7bc7 650
651
652Bool_t AliBWTools::Fit (TH1 * h1, TF1* func, Float_t min, Float_t max) {
653
654 // Fits h1 with func, preforms several checks on the quality of the
655 // fit and tries to improve it. If the fit is not good enough, it
656 // returs false.
657
658 Double_t amin; Double_t edm; Double_t errdef; Int_t nvpar; Int_t nparx;
659 TVirtualFitter *fitter;
660 cout << "--- Fitting : " << h1->GetName() << " ["<< h1->GetTitle() <<"] ---"<< endl;
661
662 h1-> Fit(func,"IME0","",min,max);
663 Int_t fitResult = h1-> Fit(func,"IME0","",min,max);
664// h1-> Fit(func,"0","",min,max);
665// Int_t fitResult = h1-> Fit(func,"0IE","",min,max);
666
667
668// From TH1:
669// The fitStatus is 0 if the fit is OK (i.e no error occurred). The
670// value of the fit status code is negative in case of an error not
671// connected with the minimization procedure, for example when a wrong
672// function is used. Otherwise the return value is the one returned
673// from the minimization procedure. When TMinuit (default case) or
674// Minuit2 are used as minimizer the status returned is : fitStatus =
675// migradResult + 10*minosResult + 100*hesseResult +
676// 1000*improveResult. TMinuit will return 0 (for migrad, minos,
677// hesse or improve) in case of success and 4 in case of error (see
678// the documentation of TMinuit::mnexcm). So for example, for an error
679// only in Minos but not in Migrad a fitStatus of 40 will be returned.
680// Minuit2 will return also 0 in case of success and different values
681// in migrad minos or hesse depending on the error. See in this case
682// the documentation of Minuit2Minimizer::Minimize for the
683// migradResult, Minuit2Minimizer::GetMinosError for the minosResult
684// and Minuit2Minimizer::Hesse for the hesseResult. If other
685// minimizers are used see their specific documentation for the status
686// code returned. For example in the case of Fumili, for the status
687// returned see TFumili::Minimize.
688
689
690 if( gMinuit->fLimset ) {
691 Printf("ERROR: AliBWTools: Parameters at limits");
692 return kFALSE;
693 }
694
695
696 ///
697 fitter = TVirtualFitter::GetFitter();
698 Int_t fitStat = fitter->GetStats(amin, edm, errdef, nvpar, nparx);
699
700 if( ( (fitStat < 3 && gMinuit->fCstatu != "UNCHANGED ")|| (edm > 1e6) || (fitResult !=0 && fitResult < 4000) ) &&
701 TString(gMinuit->fCstatu) != "SUCCESSFUL" &&
702 TString(gMinuit->fCstatu) != "CONVERGED " ) {
703 if(fitStat < 3 && gMinuit->fCstatu != "UNCHANGED ") {
704 Printf("WARNING: AliBWTools: Cannot properly compute errors");
705 if (fitStat == 0) Printf(" not calculated at all");
706 if (fitStat == 1) Printf(" approximation only, not accurate");
707 if (fitStat == 2) Printf(" full matrix, but forced positive-definite");
708 }
709
710 if (edm > 1e6) {
711
712 Printf("WARNING: AliBWTools: Huge EDM (%f): Fit probably failed!", edm);
713 }
714 if (fitResult != 0) {
715 Printf("WARNING: AliBWTools: Fit Result (%d)", fitResult);
716 }
717
718 Printf ("AliBWTools: Trying Again with Strategy = 2");
719
720 gMinuit->Command("SET STRATEGY 2"); // more effort
721 fitResult = 0;
722 fitResult = h1-> Fit(func,"0","",min,max);
723 fitResult = h1-> Fit(func,"IME0","",min,max);
724 fitResult = h1-> Fit(func,"IME0","",min,max);
725
726 fitter = TVirtualFitter::GetFitter();
727
728 fitStat = fitter->GetStats(amin, edm, errdef, nvpar, nparx);
729
730 if(fitStat < 3 && gMinuit->fCstatu != "UNCHANGED ") {
731 Printf("ERROR: AliBWTools: Cannot properly compute errors");
732 if (fitStat == 0) Printf(" not calculated at all");
733 if (fitStat == 1) Printf(" approximation only, not accurate");
734 if (fitStat == 2) Printf(" full matrix, but forced positive-definite");
735 cout << "[" <<gMinuit->fCstatu<<"]" << endl;
736 return kFALSE;
737 }
738
739 if (edm > 1e6) {
740 Printf("ERROR: AliBWTools: Huge EDM (%f): Fit probably failed!", edm);
741
742 return kFALSE;
743 }
744 if (fitResult != 0) {
745 Printf("ERROR: AliBWTools: Fit Result (%d)", fitResult);
746
747 return kFALSE;
748 }
749
750 gMinuit->Command("SET STRATEGY 1"); // back to normal value
751
752 }
753
754 cout << "---- FIT OK ----" << endl;
755
756 return kTRUE;
757
758}
759
3beb22a2 760Int_t AliBWTools::GetLowestNotEmptyBin(const TH1*h) {
4c0d7bc7 761
762 // Return the index of the lowest non empty bin in the histo h
763
764 Int_t nbin = h->GetNbinsX();
765 for(Int_t ibin = 1; ibin <= nbin; ibin++){
766 if(h->GetBinContent(ibin)>0) return ibin;
767 }
768
769 return -1;
770
771}
772
3beb22a2 773Int_t AliBWTools::GetHighestNotEmptyBin(const TH1*h) {
4c0d7bc7 774
775 // Return the index of the highest non empty bin in the histo h
776
777 Int_t nbin = h->GetNbinsX();
778 for(Int_t ibin = nbin; ibin > 0; ibin--){
779 if(h->GetBinContent(ibin)>0) return ibin;
780 }
781
782 return -1;
783
784}
785
3beb22a2 786void AliBWTools::GetResiduals(const TGraphErrors * gdata, const TF1 * func, TH1F ** hres, TGraphErrors ** gres) {
4c0d7bc7 787
788 // Returns a graph of residuals vs point and the res/err distribution
789
790 Int_t npoint = gdata->GetN();
791
792 (*gres) =new TGraphErrors();
793 (*hres) = new TH1F(TString("hres_")+gdata->GetName()+"-"+func->GetName(),
794 TString("hres_")+gdata->GetName()+"-"+func->GetName(),
795 20,-5,5);
796
797
798 for(Int_t ipoint = 0; ipoint < npoint; ipoint++){
799 Float_t x = gdata->GetX()[ipoint];
800 Float_t res = (gdata->GetY()[ipoint] - func->Eval(x))/func->Eval(x);
801 Float_t err = gdata->GetEY()[ipoint]/func->Eval(x);
802 (*hres)->Fill(res/err);
803 (*gres)->SetPoint(ipoint, x, res/err);
804 // (*gres)->SetPointError(ipoint, 0, err);
805
806 }
807
808 (*gres)->SetMarkerStyle(gdata->GetMarkerStyle());
809 (*gres)->SetMarkerColor(gdata->GetMarkerColor());
810 (*gres)->SetLineColor (gdata->GetLineColor());
811 (*gres)->GetHistogram()->GetYaxis()->SetTitle("(data-function)/function");
812 (*hres)->SetMarkerStyle(gdata->GetMarkerStyle());
813 (*hres)->SetMarkerColor(gdata->GetMarkerColor());
814 (*hres)->SetLineColor (gdata->GetLineColor());
815
816
817
818}
819
3beb22a2 820void AliBWTools::GetResiduals(const TH1F* hdata, const TF1 * func, TH1F ** hres, TH1F ** hresVsBin) {
4c0d7bc7 821
822 // Returns an histo of residuals bin by bin and the res/err distribution
823
824 if (!func) {
825 Printf("AliBWTools::GetResiduals: No function provided");
826 return;
827 }
828 if (!hdata) {
829 Printf("AliBWTools::GetResiduals: No data provided");
830 return;
831 }
832
833 (*hresVsBin) = (TH1F*) hdata->Clone(TString("hres_")+hdata->GetName());
834 (*hresVsBin)->Reset();
835 (*hres) = new TH1F(TString("hres_")+hdata->GetName()+"-"+func->GetName(),
836 TString("hres_")+hdata->GetName()+"-"+func->GetName(),
837 20,-5,5);
838
839 Int_t nbin = hdata->GetNbinsX();
840 for(Int_t ibin = 1; ibin <= nbin; ibin++){
3beb22a2 841 if(!hdata->GetBinContent(ibin)) continue;
4c0d7bc7 842 Float_t res = (hdata->GetBinContent(ibin) - func->Eval(hdata->GetBinCenter(ibin)) ) /
843 func->Eval(hdata->GetBinCenter(ibin));
844 Float_t err = hdata->GetBinError (ibin) / func->Eval(hdata->GetBinCenter(ibin));
845 (*hresVsBin)->SetBinContent(ibin,res);
846 (*hresVsBin)->SetBinError (ibin,err);
847 (*hres)->Fill(res/err);
848
849 }
850
851 (*hresVsBin)->SetMarkerStyle(hdata->GetMarkerStyle());
852 (*hresVsBin)->SetMarkerColor(hdata->GetMarkerColor());
853 (*hresVsBin)->SetLineColor (hdata->GetLineColor() );
854 (*hresVsBin)->GetYaxis()->SetTitle("(data-function)/function");
855 (*hres)->SetMarkerStyle(hdata->GetMarkerStyle());
856 (*hres)->SetMarkerColor(hdata->GetMarkerColor());
857 (*hres)->SetLineColor (hdata->GetLineColor() );
858
859}
860
3beb22a2 861void AliBWTools::GetYield(TH1* h, TF1 * f, Double_t &yield, Double_t &yieldError, Float_t min, Float_t max,
4c0d7bc7 862 Double_t *partialYields, Double_t *partialYieldsErrors){
863
864 // Returns the yield extracted from the data in the histo where
865 // there are points and from the fit to extrapolate, in the given
866 // range.
867
868 // Partial yields are also returned if the corresponding pointers are non null
869
870 Int_t bin1 = h->FindBin(min);
871 Int_t bin2 = h->FindBin(max);
872 Float_t bin1Edge = GetLowestNotEmptyBinEdge (h);
873 Float_t bin2Edge = GetHighestNotEmptyBinEdge(h);
874
875 Double_t integralFromHistoError ;
57b5143c 876 Double_t integralFromHisto = DoIntegral(h,bin1,bin2,-1,-1,-1,-1,integralFromHistoError,"width",1);
4c0d7bc7 877
878 Double_t integralBelow = min < bin1Edge ? f->Integral(min,bin1Edge) : 0;
879 Double_t integralBelowError = min < bin1Edge ? f->IntegralError(min,bin1Edge) : 0;
880 Double_t integralAbove = max > bin2Edge ? f->Integral(bin2Edge,max) : 0;
169d33f6 881 Double_t integralAboveError = max > bin2Edge ? f->IntegralError(bin2Edge,max) : 0;
4c0d7bc7 882
3beb22a2 883// cout << "GetYield INFO" << endl;
884// cout << " " << bin1Edge << " " << bin2Edge << endl;
885// cout << " " << integralFromHisto << " " << integralBelow << " " << integralAbove << endl;
886// cout << " " << integralFromHistoError << " " << integralBelowError << " " << integralAboveError << endl;
4c0d7bc7 887
888 if(partialYields) {
889 partialYields[0] = integralFromHisto;
890 partialYields[1] = integralBelow;
891 partialYields[2] = integralAbove;
892 }
893 if(partialYieldsErrors) {
894 partialYieldsErrors[0] = integralFromHistoError;
895 partialYieldsErrors[1] = integralBelowError;
896 partialYieldsErrors[2] = integralAboveError;
897 }
898 yield = integralFromHisto+integralBelow+integralAbove;
899 yieldError = TMath::Sqrt(integralFromHistoError*integralFromHistoError+
900 integralBelowError*integralBelowError+
901 integralAboveError*integralAboveError);
902
903}
904
3beb22a2 905TGraphErrors * AliBWTools::DivideGraphByFunc(const TGraphErrors * g, const TF1 * f, Bool_t invert){
4c0d7bc7 906
907 // Divides g/f. If invert == true => f/g
908
909 TGraphErrors * gRatio = new TGraphErrors();
910 Int_t npoint = g->GetN();
911 for(Int_t ipoint = 0; ipoint < npoint; ipoint++){
912 Double_t x = g->GetX()[ipoint];
913 Double_t ratio = invert ? f->Eval(x)/g->GetY()[ipoint] :g->GetY()[ipoint]/f->Eval(x);
914 gRatio->SetPoint (ipoint, x, ratio);
915 gRatio->SetPointError(ipoint, 0, g->GetEY()[ipoint]/f->Eval(x));
916 // cout << x << " " << g->GetY()[ipoint] << " " << f->Eval(x) << endl;
917
918 }
919 gRatio->SetMarkerStyle(20);
920 //gRatio->Print();
921 return gRatio;
922
923}
924
3beb22a2 925TGraphErrors * AliBWTools::DivideGraphByHisto(const TGraphErrors * g, TH1 * h, Bool_t invert){
4c0d7bc7 926
927 // Divides g/h. If invert == true => h/g
928
169d33f6 929 Bool_t skipError = kFALSE;
930 if(!strcmp(g->ClassName(),"TGraph")) skipError = kTRUE;
931 if(!strcmp(g->ClassName(),"TGraphAsymmErrors")) skipError = kTRUE;
932 if(skipError) {
933 Printf("WARNING: Skipping graph errors");
934 }
4c0d7bc7 935 TGraphErrors * gRatio = new TGraphErrors();
936 Int_t npoint = g->GetN();
937 for(Int_t ipoint = 0; ipoint < npoint; ipoint++){
938 Double_t xj = g->GetX()[ipoint];
939 Double_t yj = g->GetY()[ipoint];
169d33f6 940 Double_t yje = skipError ? 0 : g->GetEY()[ipoint];
4c0d7bc7 941
942 Int_t binData = h->FindBin(xj);
943 Double_t yd = h->GetBinContent(binData);
944 Double_t yde = h->GetBinError(binData);
945 Double_t xd = h->GetBinCenter(binData);
946
4c0d7bc7 947
948
3beb22a2 949 if (!yd) continue;
4c0d7bc7 950
951 if (TMath::Abs(xd-xj)/TMath::Abs(xd) > 0.01){
952 Printf( "WARNING: bin center (%f) and x graph (%f) are more than 1 %% away, skipping",xd,xj );
953 continue;
954
955 }
956
957 Double_t ratio = invert ? yd/yj : yj/yd;
958
959 gRatio->SetPoint(ipoint, xj, ratio);
960 gRatio->SetPointError(ipoint, 0, TMath::Sqrt(yde*yde/yd/yd + yje*yje/yj/yj)*ratio);
961 // gRatio->SetPointError(ipoint, 0, yje/yj * ratio);
962 }
963
964 return gRatio;
965
966
967}
968
969TH1F * AliBWTools::DivideHistoByFunc(TH1F * h, TF1 * f, Bool_t invert){
970
971 // Divides h/f. If invert == true => f/g
972 // Performs the integral of f on the bin range to perform the ratio
973 // Returns a histo with the same binnig as h
974
975 // Prepare histo for ratio
976 TH1F * hRatio = (TH1F*) h->Clone(TString("hRatio_")+h->GetName()+"_"+f->GetName());
977 hRatio->Reset();
978 // Set y title
979 if(!invert) hRatio->SetYTitle(TString(h->GetName())+"/"+f->GetName());
980 else hRatio->SetYTitle(TString(f->GetName())+"/"+h->GetName());
981
982 // Loop over all bins
983 Int_t nbin = hRatio->GetNbinsX();
984
985 for(Int_t ibin = 1; ibin <= nbin; ibin++){
986 Double_t yhisto = h->GetBinContent(ibin);
987 Double_t yerror = h->GetBinError(ibin);
988 Double_t xmin = h->GetBinLowEdge(ibin);
989 Double_t xmax = h->GetBinLowEdge(ibin+1);
990 Double_t yfunc = f->Integral(xmin,xmax)/(xmax-xmin);
991 Double_t ratio = invert ? yfunc/yhisto : yhisto/yfunc ;
992 Double_t error = yerror/yfunc ;
993 hRatio->SetBinContent(ibin,ratio);
994 hRatio->SetBinError (ibin,error);
995 }
996
997 return hRatio;
998
999}
ee08b77d 1000
1001void AliBWTools::WeightedMean(Int_t npoints, const Double_t *x, const Double_t *xerr, Double_t &mean, Double_t &meanerr){
1002
3beb22a2 1003 // Performs the weighted mean of npoints numbers in x with errors in xerr
ee08b77d 1004
1005 mean = 0;
1006 meanerr = 0;
1007
1008 Double_t sumweight = 0;
1009
1010 for (Int_t ipoint = 0; ipoint < npoints; ipoint++){
1011
1012 Double_t xerr2 = xerr[ipoint]*xerr[ipoint];
1013 if(xerr2>0){
1014 // cout << "xe2 " << xerr2 << endl;
1015 Double_t weight = 1. / xerr2;
1016 sumweight += weight;
1017 mean += weight * x[ipoint];
3725266c 1018 }// else cout << " Skipping " << ipoint << endl;
ee08b77d 1019
1020 }
1021
1022
1023 if(sumweight){
1024 mean /= sumweight;
1025 meanerr = TMath::Sqrt(1./ sumweight);
1026 }
1027 else {
3725266c 1028 // cout << " No sumweight" << endl;
ee08b77d 1029 mean = 0;
1030 meanerr = 0;
1031 }
1032
1033
1034}
3725266c 1035
57b5143c 1036TH1 * AliBWTools::GetRelativeError(TH1 * h){
1037 // Returns an histogram with the same binning as h, filled with the relative error bin by bin
1038 TH1 * hrel = (TH1*) h->Clone(TString(h->GetName())+"_rel");
1039 hrel->Reset();
1040 Int_t nbin = hrel->GetNbinsX();
1041 for(Int_t ibin = 1; ibin <= nbin; ibin++){
1042 hrel->SetBinContent(ibin,h->GetBinError(ibin)/h->GetBinContent(ibin));
1043 hrel->SetBinError(ibin,0);
1044 }
1045
1046 return hrel;
1047}
1048
1049
058137a6 1050void AliBWTools::GetValueAndError(TH1 * hdest, const TH1 * hvalue, const TH1 * herror, Bool_t isPercentError) {
3725266c 1051
1052 // Put into source, bin-by-bin, the values from hvalue and the
1053 // errors from content from herror.
1054 // Used mainly to combine histos of systemati errors with their spectra
1055 // Set isPercentError to kTRUE if the error is given in %
1056
1057 if(hdest == NULL){
1058 Printf("AliBWTools::GetValueAndError Errror: hdest is null");
1059 return;
1060 }
1061
1062
1063 Int_t nbin = hdest->GetNbinsX();
1064 Int_t nBinSourceVal = hvalue->GetNbinsX();
1065 Int_t nBinSourceErr = herror->GetNbinsX();
1066
1067 for(Int_t iBinDest = 1; iBinDest <= nbin; iBinDest++){
1068 Float_t lowPtDest=hdest->GetBinLowEdge(iBinDest);
1069 Float_t binWidDest=hdest->GetBinWidth(iBinDest);
1070 // Loop over Source bins and find overlapping bins to Dest
1071 // First value then error
1072 // Value
1073 Bool_t foundValue = kFALSE;
1074 for(Int_t iBinSourceVal=1; iBinSourceVal<=nBinSourceVal; iBinSourceVal++){
1075 Float_t lowPtSource= hvalue->GetBinLowEdge(iBinSourceVal) ;
1076 Float_t binWidSource= hvalue->GetBinWidth(iBinSourceVal);
1077 if(TMath::Abs(lowPtDest-lowPtSource)<0.001 && TMath::Abs(binWidSource-binWidDest)<0.001){
1078 Double_t content = hvalue->GetBinContent(iBinSourceVal);
1079 hdest->SetBinContent(iBinDest, content);
1080 foundValue = kTRUE;
1081 break;
1082 }
1083 }
1084 // if (!foundValue){
1085 // Printf("AliBWTools::GetValueAndError: Error: cannot find matching value source bin for destination %d",iBinDest);
1086 // }
1087
1088 // Error
1089 Bool_t foundError = kFALSE;
1090 for(Int_t iBinSourceErr=1; iBinSourceErr<=nBinSourceErr; iBinSourceErr++){
1091 Float_t lowPtSource= herror->GetBinLowEdge(iBinSourceErr) ;
1092 Float_t binWidSource= herror->GetBinWidth(iBinSourceErr);
1093 if(TMath::Abs(lowPtDest-lowPtSource)<0.001 && TMath::Abs(binWidSource-binWidDest)<0.001){
1094 Double_t error = herror->GetBinContent(iBinSourceErr);
1095 // cout << "-> " << iBinDest << " " << error << " " << hdest->GetBinContent(iBinDest) << endl;
1096
1097 hdest->SetBinError(iBinDest, isPercentError ? error * hdest->GetBinContent(iBinDest) : error);
1098 foundError=kTRUE;
1099 break;
1100 }
1101 }
1102 // if (!foundError ){
1103 // Printf("AliBWTools::GetValueAndError: Error: cannot find matching error source bin for destination %d",iBinDest);
1104 // }
1105 }
1106
1107
1108}
1109
058137a6 1110void AliBWTools::AddHisto(TH1 * hdest, const TH1* hsource, Bool_t getMirrorBins) {
3725266c 1111
1112 // Adds hsource to hdest bin by bin, even if they have a different
1113 // binning If getMirrorBins is true, it takes the negative bins
1114 // (Needed because sometimes the TPC uses the positive axis for
1115 // negative particles and the possitive axis for positive
1116 // particles).
1117
1118
1119 if (hdest == NULL) {
1120 Printf("Error: hdest is NULL\n");
37e1d042 1121 return;
3725266c 1122 }
1123 if (hsource == NULL) {
1124 Printf("Error: hsource is NULL\n");
37e1d042 1125 return;
3725266c 1126 }
1127
1128 Int_t nBinSource = hsource->GetNbinsX();
1129 Int_t nBinDest = hdest->GetNbinsX();
1130
1131 // Loop over destination bins,
1132 for(Int_t iBinDest=1; iBinDest<=nBinDest; iBinDest++){
1133 Float_t lowPtDest=hdest->GetBinLowEdge(iBinDest);
1134 Float_t binWidDest=hdest->GetBinWidth(iBinDest);
1135 // Loop over Source bins and find overlapping bins to Dest
1136 Bool_t found = kFALSE;
1137 for(Int_t iBinSource=1; iBinSource<=nBinSource; iBinSource++){
1138 Float_t lowPtSource= getMirrorBins ? -hsource->GetBinLowEdge(iBinSource)+hsource->GetBinWidth(iBinSource) : hsource->GetBinLowEdge(iBinSource) ;
1139 Float_t binWidSource= hsource->GetBinWidth(iBinSource) ;
1140 if(TMath::Abs(lowPtDest-lowPtSource)<0.001 && TMath::Abs(binWidSource-binWidDest)<0.001){
1141 Float_t dest=hdest->GetBinContent(iBinDest);
1142 Float_t source=hsource->GetBinContent(iBinSource);
1143 Float_t edest=hdest->GetBinError(iBinDest);
1144 Float_t esource=hsource->GetBinError(iBinSource);
1145 Double_t cont=dest+source;
1146 Double_t econt=TMath::Sqrt(edest*edest+esource*esource);
1147 hdest->SetBinContent(iBinDest,cont);
1148 hdest->SetBinError (iBinDest,econt);
1149 found = kTRUE;
1150
1151 break;
1152 }
1153 }
77233d47 1154 // if (!found){
1155 // Printf("Error: cannot find matching source bin for destination %d",iBinDest);
1156 // }
3725266c 1157 }
1158
1159
1160}
1161
058137a6 1162void AliBWTools::GetHistoCombinedErrors(TH1 * hdest, const TH1 * h1) {
1163
1164 // Combine the errors of hdest with the errors of h1, summing in
1165 // quadrature. Results are put in hdest. Histograms are assumed to
1166 // have the same binning
1167
1168 Int_t nbin = hdest->GetNbinsX();
1169 for(Int_t ibin = 0; ibin < nbin; ibin++){
1170 Double_t e1 = hdest->GetBinError(ibin);
1171 Double_t e2 = h1->GetBinError(ibin);
1172 hdest->SetBinError(ibin, TMath::Sqrt(e1*e1+e2*e2));
1173 }
1174
1175
1176}
d8e6677d 1177
1178TH1F * AliBWTools::DivideHistosDifferentBins(const TH1F* h1, const TH1F* h2) {
1179 // Divides 2 histos even if they have a different binning. Finds
1180 // overlapping bins and divides them
1181
1182 // 1. clone histo
1183 TH1F * hRatio = new TH1F(*h1);
1184 Int_t nBinsH1=h1->GetNbinsX();
1185 Int_t nBinsH2=h2->GetNbinsX();
1186 // Loop over H1 bins,
1187 for(Int_t iBin=1; iBin<=nBinsH1; iBin++){
1188 hRatio->SetBinContent(iBin,0.);
1189 hRatio->SetBinContent(iBin,0.);
1190 Float_t lowPtH1=h1->GetBinLowEdge(iBin);
1191 Float_t binWidH1=h1->GetBinWidth(iBin);
1192 // Loop over H2 bins and find overlapping bins to H1
1193 for(Int_t jBin=1; jBin<=nBinsH2; jBin++){
1194 Float_t lowPtH2=h2->GetBinLowEdge(jBin);
1195 Float_t binWidH2=h2->GetBinWidth(jBin);
1196 if(TMath::Abs(lowPtH1-lowPtH2)<0.001 && TMath::Abs(binWidH2-binWidH1)<0.001){
1197 Float_t numer=h1->GetBinContent(iBin);
1198 Float_t denom=h2->GetBinContent(jBin);
1199 Float_t enumer=h1->GetBinError(iBin);
1200 Float_t edenom=h2->GetBinError(jBin);
1201 Double_t ratio=0.;
1202 Double_t eratio=0.;
1203 if(numer>0. && denom>0.){
1204 ratio=numer/denom;
1205 eratio=ratio*TMath::Sqrt((enumer/numer)*(enumer/numer)+(edenom/denom)*(edenom/denom));
1206 }
1207 hRatio->SetBinContent(iBin,ratio);
1208 hRatio->SetBinError(iBin,eratio);
1209 break;
1210 }
1211 }
1212 }
1213 return hRatio;
1214}
57b5143c 1215
1216Double_t AliBWTools::DoIntegral(TH1* h, Int_t binx1, Int_t binx2, Int_t biny1, Int_t biny2, Int_t binz1, Int_t binz2, Double_t & error ,
1217 Option_t *option, Bool_t doError)
1218{
1219 // function to compute integral and optionally the error between the limits
1220 // specified by the bin number values working for all histograms (1D, 2D and 3D)
1221 // copied from TH! to fix a bug still present in 5-27-06b
1222 Int_t nbinsx = h->GetNbinsX();
1223 if (binx1 < 0) binx1 = 0;
1224 if (binx2 > nbinsx+1 || binx2 < binx1) binx2 = nbinsx+1;
1225 if (h->GetDimension() > 1) {
1226 Int_t nbinsy = h->GetNbinsY();
1227 if (biny1 < 0) biny1 = 0;
1228 if (biny2 > nbinsy+1 || biny2 < biny1) biny2 = nbinsy+1;
1229 } else {
1230 biny1 = 0; biny2 = 0;
1231 }
1232 if (h->GetDimension() > 2) {
1233 Int_t nbinsz = h->GetNbinsZ();
1234 if (binz1 < 0) binz1 = 0;
1235 if (binz2 > nbinsz+1 || binz2 < binz1) binz2 = nbinsz+1;
1236 } else {
1237 binz1 = 0; binz2 = 0;
1238 }
1239
1240 // - Loop on bins in specified range
1241 TString opt = option;
1242 opt.ToLower();
1243 Bool_t width = kFALSE;
1244 if (opt.Contains("width")) width = kTRUE;
1245
1246
1247 Double_t dx = 1.;
1248 Double_t dy = 1.;
1249 Double_t dz = 1.;
1250 Double_t integral = 0;
1251 Double_t igerr2 = 0;
1252 for (Int_t binx = binx1; binx <= binx2; ++binx) {
1253 if (width) dx = h->GetXaxis()->GetBinWidth(binx);
1254 for (Int_t biny = biny1; biny <= biny2; ++biny) {
1255 if (width) dy = h->GetYaxis()->GetBinWidth(biny);
1256 for (Int_t binz = binz1; binz <= binz2; ++binz) {
1257 if (width) dz = h->GetZaxis()->GetBinWidth(binz);
1258 Int_t bin = h->GetBin(binx, biny, binz);
1259 if (width) integral += h->GetBinContent(bin)*dx*dy*dz;
1260 else integral += h->GetBinContent(bin);
1261 if (doError) {
1262 if (width) igerr2 += h->GetBinError(bin)*h->GetBinError(bin)*dx*dy*dz*dx*dy*dz;
1263 else igerr2 += h->GetBinError(bin)*h->GetBinError(bin);
1264 }
1265 // cout << h->GetBinContent(bin) << " " << h->GetBinError(bin) << " " << dx*dy*dz << " " << integral << " +- " << igerr2 << endl;
1266
1267 }
1268 }
1269 }
1270
1271 if (doError) error = TMath::Sqrt(igerr2);
1272 return integral;
1273}