]>
Commit | Line | Data |
---|---|---|
65e55bbd | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-2010, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | //*********************************************************************** | |
17 | // Class AliHFPtSpectrum | |
18 | // Base class for feed-down corrections on heavy-flavour decays | |
19 | // computes the cross-section via one of the three implemented methods: | |
20 | // 0) Consider no feed-down prediction | |
21 | // 1) Subtract the feed-down with the "fc" method | |
22 | // Yield = Reco * fc; where fc = 1 / ( 1 + (eff_b/eff_c)*(N_b/N_c) ) ; | |
23 | // 2) Subtract the feed-down with the "Nb" method | |
24 | // Yield = Reco - Feed-down (exact formula on the function implementation) | |
25 | // | |
bb427707 | 26 | // (the corrected yields per bin are divided by the bin-width) |
27 | // | |
65e55bbd | 28 | // Author: Z.Conesa, zconesa@in2p3.fr |
29 | //*********************************************************************** | |
30 | ||
31 | #include <Riostream.h> | |
8998180c | 32 | |
33 | #include "TMath.h" | |
34 | #include "TH1.h" | |
35 | #include "TH1D.h" | |
36 | #include "TGraphAsymmErrors.h" | |
bb427707 | 37 | #include "TNamed.h" |
8998180c | 38 | #include "TCanvas.h" |
39 | #include "TLegend.h" | |
65e55bbd | 40 | |
41 | #include "AliLog.h" | |
8998180c | 42 | #include "AliHFSystErr.h" |
65e55bbd | 43 | #include "AliHFPtSpectrum.h" |
44 | ||
45 | ClassImp(AliHFPtSpectrum) | |
46 | ||
47 | //_________________________________________________________________________________________________________ | |
48 | AliHFPtSpectrum::AliHFPtSpectrum(const char* name, const char* title, Int_t option): | |
49 | TNamed(name,title), | |
86bdcd8c | 50 | fhDirectMCpt(NULL), |
51 | fhFeedDownMCpt(NULL), | |
52 | fhDirectMCptMax(NULL), | |
53 | fhDirectMCptMin(NULL), | |
54 | fhFeedDownMCptMax(NULL), | |
55 | fhFeedDownMCptMin(NULL), | |
56 | fhDirectEffpt(NULL), | |
57 | fhFeedDownEffpt(NULL), | |
58 | fhRECpt(NULL), | |
59 | fgRECSystematics(NULL), | |
65e55bbd | 60 | fLuminosity(), |
61 | fTrigEfficiency(), | |
8998180c | 62 | fGlobalEfficiencyUncertainties(), |
86bdcd8c | 63 | fhFc(NULL), |
64 | fhFcMax(NULL), | |
65 | fhFcMin(NULL), | |
66 | fgFcExtreme(NULL), | |
67 | fgFcConservative(NULL), | |
68 | fhYieldCorr(NULL), | |
69 | fhYieldCorrMax(NULL), | |
70 | fhYieldCorrMin(NULL), | |
71 | fgYieldCorr(NULL), | |
72 | fgYieldCorrExtreme(NULL), | |
73 | fgYieldCorrConservative(NULL), | |
74 | fhSigmaCorr(NULL), | |
75 | fhSigmaCorrMax(NULL), | |
76 | fhSigmaCorrMin(NULL), | |
77 | fgSigmaCorr(NULL), | |
78 | fgSigmaCorrExtreme(NULL), | |
79 | fgSigmaCorrConservative(NULL), | |
65e55bbd | 80 | fFeedDownOption(option), |
81 | fAsymUncertainties(kTRUE) | |
82 | { | |
83 | // | |
84 | // Default constructor | |
85 | // | |
86 | ||
87 | fLuminosity[0]=1.; fLuminosity[1]=0.; | |
88 | fTrigEfficiency[0]=1.; fTrigEfficiency[1]=0.; | |
8998180c | 89 | fGlobalEfficiencyUncertainties[0]=0.; fGlobalEfficiencyUncertainties[1]=0.; |
65e55bbd | 90 | |
91 | } | |
92 | ||
93 | //_________________________________________________________________________________________________________ | |
94 | AliHFPtSpectrum::AliHFPtSpectrum(const AliHFPtSpectrum &rhs): | |
95 | TNamed(rhs), | |
96 | fhDirectMCpt(rhs.fhDirectMCpt), | |
97 | fhFeedDownMCpt(rhs.fhFeedDownMCpt), | |
a17b17dd | 98 | fhDirectMCptMax(rhs.fhDirectMCptMax), |
99 | fhDirectMCptMin(rhs.fhDirectMCptMin), | |
100 | fhFeedDownMCptMax(rhs.fhFeedDownMCptMax), | |
101 | fhFeedDownMCptMin(rhs.fhFeedDownMCptMin), | |
65e55bbd | 102 | fhDirectEffpt(rhs.fhDirectEffpt), |
103 | fhFeedDownEffpt(rhs.fhFeedDownEffpt), | |
104 | fhRECpt(rhs.fhRECpt), | |
86bdcd8c | 105 | fgRECSystematics(rhs.fgRECSystematics), |
65e55bbd | 106 | fLuminosity(), |
107 | fTrigEfficiency(), | |
8998180c | 108 | fGlobalEfficiencyUncertainties(), |
65e55bbd | 109 | fhFc(rhs.fhFc), |
a17b17dd | 110 | fhFcMax(rhs.fhFcMax), |
111 | fhFcMin(rhs.fhFcMin), | |
86bdcd8c | 112 | fgFcExtreme(rhs.fgFcExtreme), |
113 | fgFcConservative(rhs.fgFcConservative), | |
65e55bbd | 114 | fhYieldCorr(rhs.fhYieldCorr), |
a17b17dd | 115 | fhYieldCorrMax(rhs.fhYieldCorrMax), |
116 | fhYieldCorrMin(rhs.fhYieldCorrMin), | |
65e55bbd | 117 | fgYieldCorr(rhs.fgYieldCorr), |
86bdcd8c | 118 | fgYieldCorrExtreme(rhs.fgYieldCorrExtreme), |
119 | fgYieldCorrConservative(rhs.fgYieldCorrConservative), | |
65e55bbd | 120 | fhSigmaCorr(rhs.fhSigmaCorr), |
a17b17dd | 121 | fhSigmaCorrMax(rhs.fhSigmaCorrMax), |
122 | fhSigmaCorrMin(rhs.fhSigmaCorrMin), | |
65e55bbd | 123 | fgSigmaCorr(rhs.fgSigmaCorr), |
86bdcd8c | 124 | fgSigmaCorrExtreme(rhs.fgSigmaCorrExtreme), |
125 | fgSigmaCorrConservative(rhs.fgSigmaCorrConservative), | |
65e55bbd | 126 | fFeedDownOption(rhs.fFeedDownOption), |
127 | fAsymUncertainties(rhs.fAsymUncertainties) | |
128 | { | |
129 | // | |
130 | // Copy constructor | |
131 | // | |
132 | ||
133 | for(Int_t i=0; i<2; i++){ | |
134 | fLuminosity[i] = rhs.fLuminosity[i]; | |
135 | fTrigEfficiency[i] = rhs.fTrigEfficiency[i]; | |
8998180c | 136 | fGlobalEfficiencyUncertainties[i] = rhs.fGlobalEfficiencyUncertainties[i]; |
65e55bbd | 137 | } |
138 | ||
139 | } | |
140 | ||
141 | //_________________________________________________________________________________________________________ | |
142 | AliHFPtSpectrum &AliHFPtSpectrum::operator=(const AliHFPtSpectrum &source){ | |
143 | // | |
144 | // Assignment operator | |
145 | // | |
146 | ||
147 | if (&source == this) return *this; | |
148 | ||
149 | fhDirectMCpt = source.fhDirectMCpt; | |
150 | fhFeedDownMCpt = source.fhFeedDownMCpt; | |
a17b17dd | 151 | fhDirectMCptMax = source.fhDirectMCptMax; |
152 | fhDirectMCptMin = source.fhDirectMCptMin; | |
153 | fhFeedDownMCptMax = source.fhFeedDownMCptMax; | |
154 | fhFeedDownMCptMin = source.fhFeedDownMCptMin; | |
65e55bbd | 155 | fhDirectEffpt = source.fhDirectEffpt; |
156 | fhFeedDownEffpt = source.fhFeedDownEffpt; | |
157 | fhRECpt = source.fhRECpt; | |
86bdcd8c | 158 | fgRECSystematics = source.fgRECSystematics; |
65e55bbd | 159 | fhFc = source.fhFc; |
a17b17dd | 160 | fhFcMax = source.fhFcMax; |
161 | fhFcMin = source.fhFcMin; | |
86bdcd8c | 162 | fgFcExtreme = source.fgFcExtreme; |
163 | fgFcConservative = source.fgFcConservative; | |
65e55bbd | 164 | fhYieldCorr = source.fhYieldCorr; |
a17b17dd | 165 | fhYieldCorrMax = source.fhYieldCorrMax; |
166 | fhYieldCorrMin = source.fhYieldCorrMin; | |
65e55bbd | 167 | fgYieldCorr = source.fgYieldCorr; |
86bdcd8c | 168 | fgYieldCorrExtreme = source.fgYieldCorrExtreme; |
169 | fgYieldCorrConservative = source.fgYieldCorrConservative; | |
65e55bbd | 170 | fhSigmaCorr = source.fhSigmaCorr; |
a17b17dd | 171 | fhSigmaCorrMax = source.fhSigmaCorrMax; |
172 | fhSigmaCorrMin = source.fhSigmaCorrMin; | |
65e55bbd | 173 | fgSigmaCorr = source.fgSigmaCorr; |
86bdcd8c | 174 | fgSigmaCorrExtreme = source.fgSigmaCorrExtreme; |
175 | fgSigmaCorrConservative = source.fgSigmaCorrConservative; | |
65e55bbd | 176 | fFeedDownOption = source.fFeedDownOption; |
177 | fAsymUncertainties = source.fAsymUncertainties; | |
178 | ||
179 | for(Int_t i=0; i<2; i++){ | |
180 | fLuminosity[i] = source.fLuminosity[i]; | |
181 | fTrigEfficiency[i] = source.fTrigEfficiency[i]; | |
8998180c | 182 | fGlobalEfficiencyUncertainties[i] = source.fGlobalEfficiencyUncertainties[i]; |
65e55bbd | 183 | } |
184 | ||
185 | return *this; | |
186 | } | |
187 | ||
188 | //_________________________________________________________________________________________________________ | |
189 | AliHFPtSpectrum::~AliHFPtSpectrum(){ | |
190 | // | |
191 | // Destructor | |
192 | // | |
86bdcd8c | 193 | if (fhDirectMCpt) delete fhDirectMCpt; |
194 | if (fhFeedDownMCpt) delete fhFeedDownMCpt; | |
195 | if (fhDirectMCptMax) delete fhDirectMCptMax; | |
196 | if (fhDirectMCptMin) delete fhDirectMCptMin; | |
197 | if (fhFeedDownMCptMax) delete fhFeedDownMCptMax; | |
198 | if (fhFeedDownMCptMin) delete fhFeedDownMCptMin; | |
199 | if (fhDirectEffpt) delete fhDirectEffpt; | |
200 | if (fhFeedDownEffpt) delete fhFeedDownEffpt; | |
201 | if (fhRECpt) delete fhRECpt; | |
202 | if (fgRECSystematics) delete fgRECSystematics; | |
203 | if (fhFc) delete fhFc; | |
204 | if (fhFcMax) delete fhFcMax; | |
205 | if (fhFcMin) delete fhFcMin; | |
206 | if (fgFcExtreme) delete fgFcExtreme; | |
207 | if (fgFcConservative) delete fgFcConservative; | |
208 | if (fhYieldCorr) delete fhYieldCorr; | |
209 | if (fhYieldCorrMax) delete fhYieldCorrMax; | |
210 | if (fhYieldCorrMin) delete fhYieldCorrMin; | |
211 | if (fgYieldCorr) delete fgYieldCorr; | |
212 | if (fgYieldCorrExtreme) delete fgYieldCorrExtreme; | |
213 | if (fgYieldCorrConservative) delete fgYieldCorrConservative; | |
214 | if (fhSigmaCorr) delete fhSigmaCorr; | |
215 | if (fhSigmaCorrMax) delete fhSigmaCorrMax; | |
216 | if (fhSigmaCorrMin) delete fhSigmaCorrMin; | |
217 | if (fgSigmaCorr) delete fgSigmaCorr; | |
218 | if (fgSigmaCorrExtreme) delete fgSigmaCorrExtreme; | |
219 | if (fgSigmaCorrConservative) delete fgSigmaCorrConservative; | |
65e55bbd | 220 | } |
221 | ||
222 | ||
5f3c1b97 | 223 | //_________________________________________________________________________________________________________ |
86bdcd8c | 224 | TH1D * AliHFPtSpectrum::RebinTheoreticalSpectra(TH1D *hTheory, const char *name) { |
5f3c1b97 | 225 | // |
226 | // Function to rebin the theoretical spectrum | |
227 | // with respect to the real-data reconstructed spectrum binning | |
228 | // | |
229 | ||
230 | if (!hTheory || !fhRECpt) { | |
231 | AliError("Feed-down or reconstructed spectra don't exist"); | |
232 | return NULL; | |
233 | } | |
234 | ||
235 | // | |
236 | // Get the reconstructed spectra bins & limits | |
237 | Int_t nbins = fhRECpt->GetNbinsX(); | |
238 | Int_t nbinsMC = hTheory->GetNbinsX(); | |
239 | Double_t *limits = new Double_t[nbins+1]; | |
240 | Double_t xlow=0., binwidth=0.; | |
86bdcd8c | 241 | for (Int_t i=1; i<=nbins; i++) { |
5f3c1b97 | 242 | binwidth = fhRECpt->GetBinWidth(i); |
243 | xlow = fhRECpt->GetBinLowEdge(i); | |
244 | limits[i-1] = xlow; | |
245 | } | |
246 | limits[nbins] = xlow + binwidth; | |
247 | ||
248 | // | |
249 | // Define a new histogram with the real-data reconstructed spectrum binning | |
86bdcd8c | 250 | TH1D * hTheoryRebin = new TH1D(name," theoretical rebinned prediction",nbins,limits); |
5f3c1b97 | 251 | |
252 | Double_t sum[nbins], items[nbins]; | |
253 | for (Int_t ibin=0; ibin<=nbinsMC; ibin++){ | |
254 | ||
255 | for (Int_t ibinrec=0; ibinrec<nbins; ibinrec++){ | |
86bdcd8c | 256 | if (hTheory->GetBinCenter(ibin)>limits[ibinrec] && |
5f3c1b97 | 257 | hTheory->GetBinCenter(ibin)<limits[ibinrec+1]){ |
258 | sum[ibinrec]+=hTheory->GetBinContent(ibin); | |
259 | items[ibinrec]+=1.; | |
260 | } | |
261 | } | |
262 | ||
263 | } | |
264 | ||
265 | // set the theoretical rebinned spectra to ( sum-bins / n-bins ) per new bin | |
266 | for (Int_t ibinrec=0; ibinrec<nbins; ibinrec++) { | |
267 | hTheoryRebin->SetBinContent(ibinrec+1,sum[ibinrec]/items[ibinrec]); | |
268 | } | |
269 | ||
86bdcd8c | 270 | return (TH1D*)hTheoryRebin; |
5f3c1b97 | 271 | } |
272 | ||
65e55bbd | 273 | //_________________________________________________________________________________________________________ |
86bdcd8c | 274 | void AliHFPtSpectrum::SetMCptSpectra(TH1D *hDirect, TH1D *hFeedDown){ |
65e55bbd | 275 | // |
276 | // Set the MonteCarlo or Theoretical spectra | |
277 | // both for direct and feed-down contributions | |
278 | // | |
279 | ||
bb427707 | 280 | if (!hDirect || !hFeedDown || !fhRECpt) { |
281 | AliError("One or both (direct, feed-down) spectra or the reconstructed spectra don't exist"); | |
65e55bbd | 282 | return; |
283 | } | |
284 | ||
285 | Bool_t areconsistent = kTRUE; | |
286 | areconsistent = CheckHistosConsistency(hDirect,hFeedDown); | |
287 | if (!areconsistent) { | |
288 | AliInfo("Histograms are not consistent (bin width, bounds)"); | |
289 | return; | |
290 | } | |
291 | ||
bb427707 | 292 | // |
293 | // If the predictions shape do not have the same | |
294 | // bin width (check via number of bins) as the reconstructed spectra, change them | |
8998180c | 295 | if (hDirect->GetBinWidth(1) == fhRECpt->GetBinWidth(1)) { |
bb427707 | 296 | |
86bdcd8c | 297 | fhDirectMCpt = (TH1D*)hDirect->Clone(); |
298 | fhDirectMCpt->SetNameTitle("fhDirectMCpt"," direct theoretical prediction"); | |
299 | fhFeedDownMCpt = (TH1D*)hFeedDown->Clone(); | |
300 | fhFeedDownMCpt->SetNameTitle("fhFeedDownMCpt"," feed-down theoretical prediction"); | |
bb427707 | 301 | |
86bdcd8c | 302 | } |
bb427707 | 303 | else { |
304 | ||
86bdcd8c | 305 | fhDirectMCpt = RebinTheoreticalSpectra(hDirect,"fhDirectMCpt"); |
5f3c1b97 | 306 | fhDirectMCpt->SetNameTitle("fhDirectMCpt"," direct theoretical prediction"); |
86bdcd8c | 307 | fhFeedDownMCpt = RebinTheoreticalSpectra(hFeedDown,"fhFeedDownMCpt"); |
5f3c1b97 | 308 | fhFeedDownMCpt->SetNameTitle("fhFeedDownMCpt"," feed-down theoretical prediction"); |
bb427707 | 309 | |
bb427707 | 310 | } |
311 | ||
65e55bbd | 312 | } |
313 | ||
314 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 315 | void AliHFPtSpectrum::SetFeedDownMCptSpectra(TH1D *hFeedDown){ |
65e55bbd | 316 | // |
317 | // Set the MonteCarlo or Theoretical spectra | |
318 | // for feed-down contribution | |
319 | // | |
320 | ||
bb427707 | 321 | if (!hFeedDown || !fhRECpt) { |
322 | AliError("Feed-down or reconstructed spectra don't exist"); | |
65e55bbd | 323 | return; |
324 | } | |
bb427707 | 325 | |
bb427707 | 326 | // |
327 | // If the predictions shape do not have the same | |
328 | // bin width (check via number of bins) as the reconstructed spectra, change them | |
8998180c | 329 | if (hFeedDown->GetBinWidth(1) == fhRECpt->GetBinWidth(1)) { |
bb427707 | 330 | |
86bdcd8c | 331 | fhFeedDownMCpt = (TH1D*)hFeedDown->Clone(); |
332 | fhFeedDownMCpt->SetNameTitle("fhFeedDownMCpt"," feed-down theoretical prediction"); | |
bb427707 | 333 | |
334 | } | |
335 | else { | |
336 | ||
86bdcd8c | 337 | fhFeedDownMCpt = RebinTheoreticalSpectra(hFeedDown,"fhFeedDownMCpt"); |
5f3c1b97 | 338 | fhFeedDownMCpt->SetNameTitle("fhFeedDownMCpt"," feed-down theoretical prediction"); |
bb427707 | 339 | |
bb427707 | 340 | } |
341 | ||
65e55bbd | 342 | } |
343 | ||
344 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 345 | void AliHFPtSpectrum::SetMCptDistributionsBounds(TH1D *hDirectMax, TH1D *hDirectMin, TH1D *hFeedDownMax, TH1D *hFeedDownMin){ |
65e55bbd | 346 | // |
347 | // Set the maximum and minimum MonteCarlo or Theoretical spectra | |
348 | // both for direct and feed-down contributions | |
349 | // used in case uncertainties are asymmetric and ca not be on the "basic histograms" | |
350 | // | |
351 | ||
bb427707 | 352 | if (!hDirectMax || !hDirectMin || !hFeedDownMax|| !hFeedDownMin || !fhRECpt) { |
353 | AliError("One or all of the max/min direct/feed-down or the reconstructed spectra don't exist"); | |
65e55bbd | 354 | return; |
355 | } | |
356 | ||
357 | Bool_t areconsistent = kTRUE; | |
358 | areconsistent &= CheckHistosConsistency(hDirectMax,hDirectMin); | |
359 | areconsistent &= CheckHistosConsistency(hFeedDownMax,hFeedDownMin); | |
360 | areconsistent &= CheckHistosConsistency(hDirectMax,hFeedDownMax); | |
361 | if (!areconsistent) { | |
362 | AliInfo("Histograms are not consistent (bin width, bounds)"); | |
363 | return; | |
364 | } | |
365 | ||
bb427707 | 366 | |
367 | // | |
368 | // If the predictions shape do not have the same | |
369 | // bin width (check via number of bins) as the reconstructed spectra, change them | |
8998180c | 370 | if (hFeedDownMax->GetBinWidth(1) == fhRECpt->GetBinWidth(1)) { |
bb427707 | 371 | |
86bdcd8c | 372 | fhDirectMCptMax = (TH1D*)hDirectMax->Clone(); |
373 | fhDirectMCptMin = (TH1D*)hDirectMin->Clone(); | |
374 | fhFeedDownMCptMax = (TH1D*)hFeedDownMax->Clone(); | |
375 | fhFeedDownMCptMin = (TH1D*)hFeedDownMin->Clone(); | |
376 | fhDirectMCptMax->SetNameTitle("fhDirectMCptMax"," maximum direct theoretical prediction"); | |
377 | fhDirectMCptMin->SetNameTitle("fhDirectMCptMin"," minimum direct theoretical prediction"); | |
378 | fhFeedDownMCptMax->SetNameTitle("fhFeedDownMCptMax"," maximum feed-down theoretical prediction"); | |
379 | fhFeedDownMCptMin->SetNameTitle("fhFeedDownMCptMin"," minimum feed-down theoretical prediction"); | |
bb427707 | 380 | |
381 | } | |
382 | else { | |
383 | ||
86bdcd8c | 384 | fhDirectMCptMax = RebinTheoreticalSpectra(hDirectMax,"fhDirectMCptMax"); |
5f3c1b97 | 385 | fhDirectMCptMax->SetNameTitle("fhDirectMCptMax"," maximum direct theoretical prediction"); |
86bdcd8c | 386 | fhDirectMCptMin = RebinTheoreticalSpectra(hDirectMin,"fhDirectMCptMin"); |
5f3c1b97 | 387 | fhDirectMCptMin->SetNameTitle("fhDirectMCptMin"," minimum direct theoretical prediction"); |
86bdcd8c | 388 | fhFeedDownMCptMax = RebinTheoreticalSpectra(hFeedDownMax,"fhFeedDownMCptMax"); |
5f3c1b97 | 389 | fhFeedDownMCptMax->SetNameTitle("fhFeedDownMCptMax"," maximum feed-down theoretical prediction"); |
86bdcd8c | 390 | fhFeedDownMCptMin = RebinTheoreticalSpectra(hFeedDownMin,"fhFeedDownMCptMin"); |
5f3c1b97 | 391 | fhFeedDownMCptMin->SetNameTitle("fhFeedDownMCptMin"," minimum feed-down theoretical prediction"); |
bb427707 | 392 | |
bb427707 | 393 | } |
394 | ||
65e55bbd | 395 | } |
396 | ||
397 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 398 | void AliHFPtSpectrum::SetFeedDownMCptDistributionsBounds(TH1D *hFeedDownMax, TH1D *hFeedDownMin){ |
65e55bbd | 399 | // |
400 | // Set the maximum and minimum MonteCarlo or Theoretical spectra | |
401 | // for feed-down contributions | |
402 | // used in case uncertainties are asymmetric and can not be on the "basic histogram" | |
403 | // | |
404 | ||
bb427707 | 405 | if (!hFeedDownMax || !hFeedDownMin || !fhRECpt) { |
65e55bbd | 406 | AliError("One or all of the max/min direct/feed-down spectra don't exist"); |
407 | return; | |
408 | } | |
409 | ||
410 | Bool_t areconsistent = kTRUE; | |
411 | areconsistent &= CheckHistosConsistency(hFeedDownMax,hFeedDownMin); | |
412 | if (!areconsistent) { | |
413 | AliInfo("Histograms are not consistent (bin width, bounds)"); | |
414 | return; | |
415 | } | |
416 | ||
bb427707 | 417 | |
418 | // | |
419 | // If the predictions shape do not have the same | |
420 | // bin width (check via number of bins) as the reconstructed spectra, change them | |
8998180c | 421 | if (hFeedDownMax->GetBinWidth(1) == fhRECpt->GetBinWidth(1)) { |
bb427707 | 422 | |
86bdcd8c | 423 | fhFeedDownMCptMax = (TH1D*)hFeedDownMax->Clone(); |
424 | fhFeedDownMCptMin = (TH1D*)hFeedDownMin->Clone(); | |
425 | fhFeedDownMCptMax->SetNameTitle("fhFeedDownMCptMax"," maximum feed-down theoretical prediction"); | |
426 | fhFeedDownMCptMin->SetNameTitle("fhFeedDownMCptMin"," minimum feed-down theoretical prediction"); | |
bb427707 | 427 | |
428 | } | |
429 | else { | |
430 | ||
86bdcd8c | 431 | fhFeedDownMCptMax = RebinTheoreticalSpectra(hFeedDownMax,"fhFeedDownMCptMax"); |
5f3c1b97 | 432 | fhFeedDownMCptMax->SetNameTitle("fhFeedDownMCptMax"," maximum feed-down theoretical prediction"); |
86bdcd8c | 433 | fhFeedDownMCptMin = RebinTheoreticalSpectra(hFeedDownMin,"fhFeedDownMCptMin"); |
5f3c1b97 | 434 | fhFeedDownMCptMin->SetNameTitle("fhFeedDownMCptMin"," minimum feed-down theoretical prediction"); |
bb427707 | 435 | |
bb427707 | 436 | } |
437 | ||
65e55bbd | 438 | } |
439 | ||
440 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 441 | void AliHFPtSpectrum::SetDirectAccEffCorrection(TH1D *hDirectEff){ |
65e55bbd | 442 | // |
443 | // Set the Acceptance and Efficiency corrections | |
444 | // for the direct contribution | |
445 | // | |
446 | ||
447 | if (!hDirectEff) { | |
448 | AliError("The direct acceptance and efficiency corrections doesn't exist"); | |
449 | return; | |
450 | } | |
451 | ||
86bdcd8c | 452 | fhDirectEffpt = (TH1D*)hDirectEff->Clone(); |
453 | fhDirectEffpt->SetNameTitle("fhDirectEffpt"," direct acceptance x efficiency correction"); | |
65e55bbd | 454 | } |
455 | ||
456 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 457 | void AliHFPtSpectrum::SetAccEffCorrection(TH1D *hDirectEff, TH1D *hFeedDownEff){ |
65e55bbd | 458 | // |
459 | // Set the Acceptance and Efficiency corrections | |
460 | // both for direct and feed-down contributions | |
461 | // | |
462 | ||
463 | if (!hDirectEff || !hFeedDownEff) { | |
464 | AliError("One or both (direct, feed-down) acceptance and efficiency corrections don't exist"); | |
465 | return; | |
466 | } | |
467 | ||
468 | Bool_t areconsistent=kTRUE; | |
469 | areconsistent = CheckHistosConsistency(hDirectEff,hFeedDownEff); | |
470 | if (!areconsistent) { | |
471 | AliInfo("Histograms are not consistent (bin width, bounds)"); | |
472 | return; | |
473 | } | |
474 | ||
86bdcd8c | 475 | fhDirectEffpt = (TH1D*)hDirectEff->Clone(); |
476 | fhFeedDownEffpt = (TH1D*)hFeedDownEff->Clone(); | |
477 | fhDirectEffpt->SetNameTitle("fhDirectEffpt"," direct acceptance x efficiency correction"); | |
478 | fhFeedDownEffpt->SetNameTitle("fhFeedDownEffpt"," feed-down acceptance x efficiency correction"); | |
65e55bbd | 479 | } |
480 | ||
481 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 482 | void AliHFPtSpectrum::SetReconstructedSpectrum(TH1D *hRec) { |
65e55bbd | 483 | // |
484 | // Set the reconstructed spectrum | |
485 | // | |
486 | ||
487 | if (!hRec) { | |
488 | AliError("The reconstructed spectrum doesn't exist"); | |
489 | return; | |
490 | } | |
491 | ||
86bdcd8c | 492 | fhRECpt = (TH1D*)hRec->Clone(); |
493 | fhRECpt->SetNameTitle("fhRECpt"," reconstructed spectrum"); | |
494 | } | |
495 | ||
496 | //_________________________________________________________________________________________________________ | |
497 | void AliHFPtSpectrum::SetReconstructedSpectrumSystematics(TGraphAsymmErrors *gRec) { | |
498 | // | |
499 | // Set the reconstructed spectrum systematic uncertainties | |
500 | // | |
501 | ||
502 | // Check the compatibility with the reconstructed spectrum | |
d38da1b0 | 503 | Double_t gbinwidth = gRec->GetErrorXlow(1) + gRec->GetErrorXhigh(1) ; |
86bdcd8c | 504 | Double_t hbinwidth = fhRECpt->GetBinWidth(1); |
505 | Double_t gxbincenter=0., gybincenter=0.; | |
d38da1b0 | 506 | gRec->GetPoint(1,gxbincenter,gybincenter); |
86bdcd8c | 507 | Double_t hbincenter = fhRECpt->GetBinCenter(1); |
8998180c | 508 | if ( (gbinwidth != hbinwidth) || (gxbincenter!=hbincenter) ) { |
86bdcd8c | 509 | AliError(" The reconstructed spectrum and its systematics don't seem compatible"); |
510 | return; | |
511 | } | |
512 | ||
513 | fgRECSystematics = gRec; | |
65e55bbd | 514 | } |
515 | ||
516 | //_________________________________________________________________________________________________________ | |
a17b17dd | 517 | void AliHFPtSpectrum::ComputeHFPtSpectrum(Double_t deltaY, Double_t branchingRatioC, Double_t branchingRatioBintoFinalDecay) { |
65e55bbd | 518 | // |
519 | // Main function to compute the corrected cross-section: | |
a17b17dd | 520 | // variables : analysed delta_y, BR for the final correction, |
521 | // BR b --> D --> decay (relative to the input theoretical prediction) | |
65e55bbd | 522 | // |
523 | // Sigma = ( 1. / (lumi * delta_y * BR_c * eff_trig * eff_c ) ) * spectra (corrected for feed-down) | |
524 | // | |
86bdcd8c | 525 | // Uncertainties: (stat) delta_sigma = sigma * sqrt ( (delta_spectra/spectra)^2 ) |
526 | // (syst but feed-down) delta_sigma = sigma * sqrt ( (delta_spectra_syst/spectra)^2 + (delta_lumi/lumi)^2 + (delta_eff_trig/eff_trig)^2 + (delta_eff/eff)^2 ) | |
527 | // (feed-down syst) delta_sigma = sigma * sqrt ( (delta_spectra_fd/spectra_fd)^2 ) | |
65e55bbd | 528 | |
529 | // | |
530 | // First: Initialization | |
531 | // | |
532 | Bool_t areHistosOk = Initialize(); | |
533 | if (!areHistosOk) { | |
534 | AliInfo(" Histos not properly initialized. Check : inconsistent binning ? missing histos ?"); | |
535 | return; | |
536 | } | |
537 | ||
538 | // | |
539 | // Second: Correct for feed-down | |
540 | // | |
541 | if (fFeedDownOption==1) { | |
542 | // Compute the feed-down correction via fc-method | |
a17b17dd | 543 | CalculateFeedDownCorrectionFc(); |
65e55bbd | 544 | // Correct the yield for feed-down correction via fc-method |
a17b17dd | 545 | CalculateFeedDownCorrectedSpectrumFc(); |
65e55bbd | 546 | } |
547 | else if (fFeedDownOption==2) { | |
548 | // Correct the yield for feed-down correction via Nb-method | |
a17b17dd | 549 | CalculateFeedDownCorrectedSpectrumNb(deltaY,branchingRatioBintoFinalDecay); |
65e55bbd | 550 | } |
551 | else if (fFeedDownOption==0) { | |
552 | // If there is no need for feed-down correction, | |
553 | // the "corrected" yield is equal to the raw yield | |
86bdcd8c | 554 | fhYieldCorr = (TH1D*)fhRECpt->Clone(); |
65e55bbd | 555 | fhYieldCorr->SetNameTitle("fhYieldCorr","un-corrected yield"); |
86bdcd8c | 556 | fhYieldCorrMax = (TH1D*)fhRECpt->Clone(); |
557 | fhYieldCorrMin = (TH1D*)fhRECpt->Clone(); | |
a17b17dd | 558 | fhYieldCorrMax->SetNameTitle("fhYieldCorrMax","un-corrected yield"); |
559 | fhYieldCorrMin->SetNameTitle("fhYieldCorrMin","un-corrected yield"); | |
65e55bbd | 560 | fAsymUncertainties=kFALSE; |
561 | } | |
562 | else { | |
563 | AliInfo(" Are you sure the feed-down correction option is right ?"); | |
564 | } | |
565 | ||
566 | // Print out information | |
8998180c | 567 | // printf("\n\n Correcting the spectra with : \n luminosity = %2.2e +- %2.2e, trigger efficiency = %2.2e +- %2.2e, \n delta_y = %2.2f, BR_c = %2.2e, BR_b_decay = %2.2e \n\n",fLuminosity[0],fLuminosity[1],fTrigEfficiency[0],fTrigEfficiency[1],deltaY,branchingRatioC,branchingRatioBintoFinalDecay); |
568 | printf("\n\n Correcting the spectra with : \n luminosity = %2.2e +- %2.2e, trigger efficiency = %2.2e +- %2.2e, \n delta_y = %2.2f, BR_c = %2.2e, BR_b_decay = %2.2e \n %2.2f percent uncertainty on the efficiencies, and %2.2f percent uncertainty on the b/c efficiencies ratio \n\n",fLuminosity[0],fLuminosity[1],fTrigEfficiency[0],fTrigEfficiency[1],deltaY,branchingRatioC,branchingRatioBintoFinalDecay,fGlobalEfficiencyUncertainties[0],fGlobalEfficiencyUncertainties[1]); | |
65e55bbd | 569 | |
570 | // | |
571 | // Finally: Correct from yields to cross-section | |
572 | // | |
573 | Int_t nbins = fhRECpt->GetNbinsX(); | |
574 | Double_t binwidth = fhRECpt->GetBinWidth(1); | |
bb427707 | 575 | Double_t *limits = new Double_t[nbins+1]; |
de97013c | 576 | Double_t *binwidths = new Double_t[nbins+1]; |
bb427707 | 577 | Double_t xlow=0.; |
86bdcd8c | 578 | for (Int_t i=1; i<=nbins; i++) { |
bb427707 | 579 | binwidth = fhRECpt->GetBinWidth(i); |
580 | xlow = fhRECpt->GetBinLowEdge(i); | |
581 | limits[i-1] = xlow; | |
de97013c | 582 | binwidths[i] = binwidth; |
bb427707 | 583 | } |
584 | limits[nbins] = xlow + binwidth; | |
585 | ||
65e55bbd | 586 | |
587 | // declare the output histograms | |
86bdcd8c | 588 | if (!fhSigmaCorr) fhSigmaCorr = new TH1D("fhSigmaCorr","corrected sigma",nbins,limits); |
589 | if (!fhSigmaCorrMax) fhSigmaCorrMax = new TH1D("fhSigmaCorrMax","max corrected sigma",nbins,limits); | |
590 | if (!fhSigmaCorrMin) fhSigmaCorrMin = new TH1D("fhSigmaCorrMin","min corrected sigma",nbins,limits); | |
65e55bbd | 591 | // and the output TGraphAsymmErrors |
86bdcd8c | 592 | if (fAsymUncertainties & !fgSigmaCorr) fgSigmaCorr = new TGraphAsymmErrors(nbins+1); |
593 | if (fAsymUncertainties & !fgSigmaCorrExtreme) fgSigmaCorrExtreme = new TGraphAsymmErrors(nbins+1); | |
594 | if (fAsymUncertainties & !fgSigmaCorrConservative) fgSigmaCorrConservative = new TGraphAsymmErrors(nbins+1); | |
65e55bbd | 595 | |
596 | // protect against null denominator | |
8998180c | 597 | if (deltaY==0. || fLuminosity[0]==0. || fTrigEfficiency[0]==0. || branchingRatioC==0.) { |
65e55bbd | 598 | AliError(" Hey you ! Why luminosity or trigger-efficiency or the c-BR or delta_y are set to zero ?! "); |
599 | return ; | |
600 | } | |
601 | ||
86bdcd8c | 602 | Double_t value=0, errValue=0, errvalueMax=0., errvalueMin=0.; |
603 | Double_t errvalueExtremeMax=0., errvalueExtremeMin=0.; | |
604 | Double_t errvalueConservativeMax=0., errvalueConservativeMin=0.; | |
65e55bbd | 605 | for(Int_t ibin=0; ibin<=nbins; ibin++){ |
606 | ||
86bdcd8c | 607 | // Sigma calculation |
65e55bbd | 608 | // Sigma = ( 1. / (lumi * delta_y * BR_c * eff_trig * eff_c ) ) * spectra (corrected for feed-down) |
609 | value = (fhDirectEffpt->GetBinContent(ibin) && fhDirectEffpt->GetBinContent(ibin)!=0.) ? | |
a17b17dd | 610 | ( fhYieldCorr->GetBinContent(ibin) / ( deltaY * branchingRatioC * fLuminosity[0] * fTrigEfficiency[0] * fhDirectEffpt->GetBinContent(ibin) ) ) |
65e55bbd | 611 | : 0. ; |
86bdcd8c | 612 | |
613 | // Sigma statistical uncertainty: | |
614 | // delta_sigma = sigma * sqrt ( (delta_spectra/spectra)^2 ) | |
615 | errValue = (value!=0.) ? value * (fhYieldCorr->GetBinError(ibin)/fhYieldCorr->GetBinContent(ibin)) : 0. ; | |
616 | ||
617 | // | |
618 | // Sigma systematic uncertainties | |
619 | // | |
65e55bbd | 620 | if (fAsymUncertainties) { |
86bdcd8c | 621 | |
622 | // (syst but feed-down) delta_sigma = sigma * sqrt ( (delta_spectra_syst/spectra)^2 + | |
8998180c | 623 | // (delta_lumi/lumi)^2 + (delta_eff_trig/eff_trig)^2 + (delta_eff/eff)^2 + (global_eff)^2 ) |
86bdcd8c | 624 | errvalueMax = value * TMath::Sqrt( (fgYieldCorr->GetErrorYhigh(ibin)/fhYieldCorr->GetBinContent(ibin))*(fgYieldCorr->GetErrorYhigh(ibin)/fhYieldCorr->GetBinContent(ibin)) + |
625 | (fLuminosity[1]/fLuminosity[0])*(fLuminosity[1]/fLuminosity[0]) + | |
626 | (fTrigEfficiency[1]/fTrigEfficiency[0])*(fTrigEfficiency[1]/fTrigEfficiency[0]) + | |
8998180c | 627 | (fhDirectEffpt->GetBinError(ibin)/fhDirectEffpt->GetBinContent(ibin))*(fhDirectEffpt->GetBinError(ibin)/fhDirectEffpt->GetBinContent(ibin)) + |
628 | fGlobalEfficiencyUncertainties[0]*fGlobalEfficiencyUncertainties[0] ); | |
86bdcd8c | 629 | errvalueMin = value * TMath::Sqrt( (fgYieldCorr->GetErrorYlow(ibin)/fhYieldCorr->GetBinContent(ibin))*(fgYieldCorr->GetErrorYlow(ibin)/fhYieldCorr->GetBinContent(ibin)) + |
630 | (fLuminosity[1]/fLuminosity[0])*(fLuminosity[1]/fLuminosity[0]) + | |
631 | (fTrigEfficiency[1]/fTrigEfficiency[0])*(fTrigEfficiency[1]/fTrigEfficiency[0]) + | |
8998180c | 632 | (fhDirectEffpt->GetBinError(ibin)/fhDirectEffpt->GetBinContent(ibin))*(fhDirectEffpt->GetBinError(ibin)/fhDirectEffpt->GetBinContent(ibin)) + |
633 | fGlobalEfficiencyUncertainties[0]*fGlobalEfficiencyUncertainties[0] ); | |
86bdcd8c | 634 | |
635 | // Uncertainties from feed-down | |
636 | // (feed-down syst) delta_sigma = sigma * sqrt ( (delta_spectra_fd/spectra_fd)^2 ) | |
637 | // extreme case | |
638 | errvalueExtremeMax = value * (fgYieldCorrExtreme->GetErrorYhigh(ibin)/fhYieldCorr->GetBinContent(ibin)); | |
639 | errvalueExtremeMin = value * (fgYieldCorrExtreme->GetErrorYlow(ibin)/fhYieldCorr->GetBinContent(ibin)); | |
640 | // | |
641 | // conservative case | |
642 | errvalueConservativeMax = value * (fgYieldCorrConservative->GetErrorYhigh(ibin)/fhYieldCorr->GetBinContent(ibin)); | |
643 | errvalueConservativeMin = value * (fgYieldCorrConservative->GetErrorYlow(ibin)/fhYieldCorr->GetBinContent(ibin)); | |
644 | ||
65e55bbd | 645 | } |
646 | else { | |
647 | // protect against null denominator | |
86bdcd8c | 648 | errvalueMax = (value!=0.) ? |
649 | value * TMath::Sqrt( (fLuminosity[1]/fLuminosity[0])*(fLuminosity[1]/fLuminosity[0]) + | |
650 | (fTrigEfficiency[1]/fTrigEfficiency[0])*(fTrigEfficiency[1]/fTrigEfficiency[0]) + | |
8998180c | 651 | (fhDirectEffpt->GetBinError(ibin)/fhDirectEffpt->GetBinContent(ibin))*(fhDirectEffpt->GetBinError(ibin)/fhDirectEffpt->GetBinContent(ibin)) + |
652 | fGlobalEfficiencyUncertainties[0]*fGlobalEfficiencyUncertainties[0] ) | |
65e55bbd | 653 | : 0. ; |
86bdcd8c | 654 | errvalueMin = errvalueMax; |
65e55bbd | 655 | } |
656 | ||
657 | // Fill the histograms | |
86bdcd8c | 658 | fhSigmaCorr->SetBinContent(ibin,value); |
659 | fhSigmaCorr->SetBinError(ibin,errValue); | |
65e55bbd | 660 | // Fill the TGraphAsymmErrors |
661 | if (fAsymUncertainties) { | |
662 | Double_t x = fhYieldCorr->GetBinCenter(ibin); | |
663 | fgSigmaCorr->SetPoint(ibin,x,value); // i,x,y | |
86bdcd8c | 664 | fgSigmaCorr->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueMin,errvalueMax); // i,xl,xh,yl,yh |
665 | fhSigmaCorrMax->SetBinContent(ibin,value+errvalueMax); | |
666 | fhSigmaCorrMin->SetBinContent(ibin,value-errvalueMin); | |
667 | fgSigmaCorrExtreme->SetPoint(ibin,x,value); // i,x,y | |
668 | fgSigmaCorrExtreme->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueExtremeMin,errvalueExtremeMax); // i,xl,xh,yl,yh | |
669 | fgSigmaCorrConservative->SetPoint(ibin,x,value); // i,x,y | |
670 | fgSigmaCorrConservative->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueConservativeMin,errvalueConservativeMax); // i,xl,xh,yl,yh | |
671 | ||
65e55bbd | 672 | } |
673 | ||
674 | } | |
675 | ||
65e55bbd | 676 | } |
677 | ||
bb427707 | 678 | //_________________________________________________________________________________________________________ |
86bdcd8c | 679 | TH1D * AliHFPtSpectrum::EstimateEfficiencyRecoBin(TH1D *hSimu, TH1D *hReco, const char *name) { |
bb427707 | 680 | // |
5f3c1b97 | 681 | // Function that computes the acceptance and efficiency correction |
bb427707 | 682 | // based on the simulated and reconstructed spectra |
683 | // and using the reconstructed spectra bin width | |
684 | // | |
685 | // eff = reco/sim ; err_eff = sqrt( eff*(1-eff) )/ sqrt( sim ) | |
686 | // | |
687 | ||
688 | if(!fhRECpt){ | |
689 | AliInfo("Hey, the reconstructed histogram was not set yet !"); | |
690 | return NULL; | |
691 | } | |
692 | ||
693 | Int_t nbins = fhRECpt->GetNbinsX(); | |
694 | Double_t *limits = new Double_t[nbins+1]; | |
695 | Double_t xlow=0.,binwidth=0.; | |
86bdcd8c | 696 | for (Int_t i=1; i<=nbins; i++) { |
bb427707 | 697 | binwidth = fhRECpt->GetBinWidth(i); |
698 | xlow = fhRECpt->GetBinLowEdge(i); | |
699 | limits[i-1] = xlow; | |
700 | } | |
701 | limits[nbins] = xlow + binwidth; | |
702 | ||
86bdcd8c | 703 | TH1D * hEfficiency = new TH1D(name," acceptance #times efficiency",nbins,limits); |
bb427707 | 704 | |
705 | Double_t sumSimu[nbins], sumReco[nbins]; | |
706 | for (Int_t ibin=0; ibin<=hSimu->GetNbinsX(); ibin++){ | |
707 | ||
708 | for (Int_t ibinrec=0; ibinrec<nbins; ibinrec++){ | |
709 | if ( hSimu->GetBinCenter(ibin)>limits[ibinrec] && | |
710 | hSimu->GetBinCenter(ibin)<limits[ibinrec+1] ) { | |
711 | sumSimu[ibinrec]+=hSimu->GetBinContent(ibin); | |
712 | } | |
713 | if ( hReco->GetBinCenter(ibin)>limits[ibinrec] && | |
714 | hReco->GetBinCenter(ibin)<limits[ibinrec+1] ) { | |
715 | sumReco[ibinrec]+=hReco->GetBinContent(ibin); | |
716 | } | |
717 | } | |
718 | ||
719 | } | |
720 | ||
86bdcd8c | 721 | |
bb427707 | 722 | // the efficiency is computed as reco/sim (in each bin) |
723 | // its uncertainty is err_eff = sqrt( eff*(1-eff) )/ sqrt( sim ) | |
724 | Double_t eff=0., erreff=0.; | |
86bdcd8c | 725 | for (Int_t ibinrec=0; ibinrec<=nbins; ibinrec++) { |
726 | if (sumSimu[ibinrec]!= 0. && sumReco[ibinrec]!=0.) { | |
727 | eff = sumReco[ibinrec] / sumSimu[ibinrec] ; | |
728 | erreff = TMath::Sqrt( eff * (1.0 - eff) ) / TMath::Sqrt( sumSimu[ibinrec] ); | |
729 | } | |
730 | else { eff=0.0; erreff=0.; } | |
5f3c1b97 | 731 | hEfficiency->SetBinContent(ibinrec+1,eff); |
732 | hEfficiency->SetBinError(ibinrec+1,erreff); | |
bb427707 | 733 | } |
734 | ||
86bdcd8c | 735 | return (TH1D*)hEfficiency; |
bb427707 | 736 | } |
737 | ||
738 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 739 | void AliHFPtSpectrum::EstimateAndSetDirectEfficiencyRecoBin(TH1D *hSimu, TH1D *hReco) { |
bb427707 | 740 | // |
5f3c1b97 | 741 | // Function that computes the Direct acceptance and efficiency correction |
bb427707 | 742 | // based on the simulated and reconstructed spectra |
743 | // and using the reconstructed spectra bin width | |
744 | // | |
745 | // eff = reco/sim ; err_eff = sqrt( eff*(1-eff) )/ sqrt( sim ) | |
746 | // | |
5f3c1b97 | 747 | |
86bdcd8c | 748 | if(!fhRECpt || !hSimu || !hReco){ |
749 | AliError("Hey, the reconstructed histogram was not set yet !"); | |
750 | return; | |
bb427707 | 751 | } |
752 | ||
86bdcd8c | 753 | fhDirectEffpt = EstimateEfficiencyRecoBin(hSimu,hReco,"fhDirectEffpt"); |
5f3c1b97 | 754 | fhDirectEffpt->SetNameTitle("fhDirectEffpt"," direct acceptance #times efficiency"); |
bb427707 | 755 | |
5f3c1b97 | 756 | } |
bb427707 | 757 | |
5f3c1b97 | 758 | //_________________________________________________________________________________________________________ |
86bdcd8c | 759 | void AliHFPtSpectrum::EstimateAndSetFeedDownEfficiencyRecoBin(TH1D *hSimu, TH1D *hReco) { |
5f3c1b97 | 760 | // |
761 | // Function that computes the Feed-Down acceptance and efficiency correction | |
762 | // based on the simulated and reconstructed spectra | |
763 | // and using the reconstructed spectra bin width | |
764 | // | |
765 | // eff = reco/sim ; err_eff = sqrt( eff*(1-eff) )/ sqrt( sim ) | |
766 | // | |
bb427707 | 767 | |
86bdcd8c | 768 | if(!fhRECpt || !hSimu || !hReco){ |
769 | AliError("Hey, the reconstructed histogram was not set yet !"); | |
770 | return; | |
bb427707 | 771 | } |
772 | ||
86bdcd8c | 773 | fhFeedDownEffpt = EstimateEfficiencyRecoBin(hSimu,hReco,"fhFeedDownEffpt"); |
5f3c1b97 | 774 | fhFeedDownEffpt->SetNameTitle("fhFeedDownEffpt"," feed-down acceptance #times efficiency"); |
775 | ||
bb427707 | 776 | } |
777 | ||
65e55bbd | 778 | //_________________________________________________________________________________________________________ |
779 | Bool_t AliHFPtSpectrum::Initialize(){ | |
780 | // | |
781 | // Initialization of the variables (histograms) | |
782 | // | |
783 | ||
784 | if (fFeedDownOption==0) { | |
785 | AliInfo("Getting ready for the corrections without feed-down consideration"); | |
786 | } else if (fFeedDownOption==1) { | |
787 | AliInfo("Getting ready for the fc feed-down correction calculation"); | |
788 | } else if (fFeedDownOption==2) { | |
789 | AliInfo("Getting ready for the Nb feed-down correction calculation"); | |
790 | } else { AliError("The calculation option must be <=2"); return kFALSE; } | |
791 | ||
792 | // Start checking the input histograms consistency | |
793 | Bool_t areconsistent=kTRUE; | |
794 | ||
795 | // General checks | |
796 | if (!fhDirectEffpt || !fhRECpt) { | |
797 | AliError(" Reconstructed spectra and/or the Nc efficiency distributions are not defined"); | |
798 | return kFALSE; | |
799 | } | |
800 | areconsistent &= CheckHistosConsistency(fhRECpt,fhDirectEffpt); | |
801 | if (!areconsistent) { | |
802 | AliInfo("Histograms required for Nb correction are not consistent (bin width, bounds)"); | |
803 | return kFALSE; | |
804 | } | |
805 | if (fFeedDownOption==0) return kTRUE; | |
806 | ||
807 | // | |
808 | // Common checks for options 1 (fc) & 2(Nb) | |
809 | if (!fhFeedDownMCpt || !fhFeedDownEffpt) { | |
810 | AliError(" Theoretical Nb and/or the Nb efficiency distributions are not defined"); | |
811 | return kFALSE; | |
812 | } | |
813 | areconsistent &= CheckHistosConsistency(fhRECpt,fhFeedDownMCpt); | |
814 | areconsistent &= CheckHistosConsistency(fhFeedDownMCpt,fhFeedDownEffpt); | |
815 | if (fAsymUncertainties) { | |
a17b17dd | 816 | if (!fhFeedDownMCptMax || !fhFeedDownMCptMin) { |
65e55bbd | 817 | AliError(" Max/Min theoretical Nb distributions are not defined"); |
818 | return kFALSE; | |
819 | } | |
a17b17dd | 820 | areconsistent &= CheckHistosConsistency(fhFeedDownMCpt,fhFeedDownMCptMax); |
65e55bbd | 821 | } |
822 | if (!areconsistent) { | |
823 | AliInfo("Histograms required for Nb correction are not consistent (bin width, bounds)"); | |
824 | return kFALSE; | |
825 | } | |
826 | if (fFeedDownOption>1) return kTRUE; | |
827 | ||
828 | // | |
829 | // Now checks for option 1 (fc correction) | |
830 | if (!fhDirectMCpt) { | |
831 | AliError("Theoretical Nc distributions is not defined"); | |
832 | return kFALSE; | |
833 | } | |
834 | areconsistent &= CheckHistosConsistency(fhDirectMCpt,fhFeedDownMCpt); | |
835 | areconsistent &= CheckHistosConsistency(fhDirectMCpt,fhDirectEffpt); | |
836 | if (fAsymUncertainties) { | |
a17b17dd | 837 | if (!fhDirectMCptMax || !fhDirectMCptMin) { |
65e55bbd | 838 | AliError(" Max/Min theoretical Nc distributions are not defined"); |
839 | return kFALSE; | |
840 | } | |
a17b17dd | 841 | areconsistent &= CheckHistosConsistency(fhDirectMCpt,fhDirectMCptMax); |
65e55bbd | 842 | } |
843 | if (!areconsistent) { | |
844 | AliInfo("Histograms required for fc correction are not consistent (bin width, bounds)"); | |
845 | return kFALSE; | |
846 | } | |
847 | ||
848 | return kTRUE; | |
849 | } | |
850 | ||
851 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 852 | Bool_t AliHFPtSpectrum::CheckHistosConsistency(TH1D *h1, TH1D *h2){ |
65e55bbd | 853 | // |
854 | // Check the histograms consistency (bins, limits) | |
855 | // | |
856 | ||
857 | if (!h1 || !h2) { | |
858 | AliError("One or both histograms don't exist"); | |
859 | return kFALSE; | |
860 | } | |
861 | ||
862 | Double_t binwidth1 = h1->GetBinWidth(1); | |
863 | Double_t binwidth2 = h2->GetBinWidth(1); | |
864 | Double_t min1 = h1->GetBinCenter(1) - (binwidth1/2.) ; | |
865 | // Double_t max1 = h1->GetBinCenter(nbins1) + (binwidth1/2.) ; | |
866 | Double_t min2 = h2->GetBinCenter(1) - (binwidth2/2.) ; | |
867 | // Double_t max2 = h2->GetBinCenter(nbins2) + (binwidth2/2.) ; | |
868 | ||
869 | if (binwidth1!=binwidth2) { | |
870 | AliInfo(" histograms with different bin width"); | |
871 | return kFALSE; | |
872 | } | |
873 | if (min1!=min2) { | |
874 | AliInfo(" histograms with different minimum"); | |
875 | return kFALSE; | |
876 | } | |
877 | // if (max1!=max2) { | |
878 | // AliInfo(" histograms with different maximum"); | |
879 | // return kFALSE; | |
880 | // } | |
881 | ||
882 | return kTRUE; | |
883 | } | |
884 | ||
885 | //_________________________________________________________________________________________________________ | |
a17b17dd | 886 | void AliHFPtSpectrum::CalculateFeedDownCorrectionFc(){ |
65e55bbd | 887 | // |
888 | // Compute fc factor and its uncertainties bin by bin | |
889 | // fc = 1 / ( 1 + (eff_b/eff_c)*(N_b/N_c) ) | |
890 | // | |
86bdcd8c | 891 | // uncertainties: (conservative) combine the upper/lower N_b & N_c predictions together |
892 | // (extreme) combine the upper N_b predictions with the lower N_c predictions & viceversa | |
8998180c | 893 | // systematic uncertainty on the acceptance x efficiency b/c ratio are included |
86bdcd8c | 894 | // |
65e55bbd | 895 | |
896 | // define the variables | |
897 | Int_t nbins = fhRECpt->GetNbinsX(); | |
898 | Double_t binwidth = fhRECpt->GetBinWidth(1); | |
bb427707 | 899 | Double_t *limits = new Double_t[nbins+1]; |
8998180c | 900 | Double_t *binwidths = new Double_t[nbins]; |
bb427707 | 901 | Double_t xlow=0.; |
86bdcd8c | 902 | for (Int_t i=1; i<=nbins; i++) { |
bb427707 | 903 | binwidth = fhRECpt->GetBinWidth(i); |
904 | xlow = fhRECpt->GetBinLowEdge(i); | |
905 | limits[i-1] = xlow; | |
de97013c | 906 | binwidths[i] = binwidth; |
bb427707 | 907 | } |
908 | limits[nbins] = xlow + binwidth; | |
909 | ||
65e55bbd | 910 | Double_t correction=1.; |
a17b17dd | 911 | Double_t theoryRatio=1.; |
912 | Double_t effRatio=1.; | |
86bdcd8c | 913 | Double_t correctionExtremeA=1., correctionExtremeB=1.; |
914 | Double_t theoryRatioExtremeA=1., theoryRatioExtremeB=1.; | |
915 | Double_t correctionConservativeA=1., correctionConservativeB=1.; | |
916 | Double_t theoryRatioConservativeA=1., theoryRatioConservativeB=1.; | |
8998180c | 917 | Double_t correctionUnc=0.; |
918 | Double_t correctionExtremeAUnc=0., correctionExtremeBUnc=0.; | |
919 | Double_t correctionConservativeAUnc=0., correctionConservativeBUnc=0.; | |
86bdcd8c | 920 | |
65e55bbd | 921 | // declare the output histograms |
86bdcd8c | 922 | if (!fhFc) fhFc = new TH1D("fhFc","fc correction factor",nbins,limits); |
923 | if (!fhFcMax) fhFcMax = new TH1D("fhFcMax","max fc correction factor",nbins,limits); | |
924 | if (!fhFcMin) fhFcMin = new TH1D("fhFcMin","min fc correction factor",nbins,limits); | |
65e55bbd | 925 | // two local control histograms |
bb427707 | 926 | TH1D *hTheoryRatio = new TH1D("hTheoryRatio","Theoretical B-->D over c-->D (feed-down/direct) ratio",nbins,limits); |
927 | TH1D *hEffRatio = new TH1D("hEffRatio","Efficiency B-->D over c-->D (feed-down/direct) ratio",nbins,limits); | |
65e55bbd | 928 | // and the output TGraphAsymmErrors |
86bdcd8c | 929 | if (fAsymUncertainties & !fgFcExtreme) { |
930 | fgFcExtreme = new TGraphAsymmErrors(nbins+1); | |
931 | fgFcExtreme->SetNameTitle("fgFcExtreme","fgFcExtreme"); | |
932 | } | |
933 | if (fAsymUncertainties & !fgFcConservative) { | |
934 | fgFcConservative = new TGraphAsymmErrors(nbins+1); | |
935 | fgFcConservative->SetNameTitle("fgFcConservative","fgFcConservative"); | |
936 | } | |
937 | ||
65e55bbd | 938 | |
939 | // | |
940 | // Compute fc | |
941 | // | |
942 | for (Int_t ibin=0; ibin<=nbins; ibin++) { | |
943 | ||
944 | // theory_ratio = (N_b/N_c) | |
86bdcd8c | 945 | theoryRatio = (fhDirectMCpt->GetBinContent(ibin) && fhDirectMCpt->GetBinContent(ibin)!=0.) ? |
946 | fhFeedDownMCpt->GetBinContent(ibin) / fhDirectMCpt->GetBinContent(ibin) : 1.0 ; | |
947 | // | |
948 | // Calculate the uncertainty [ considering only the theoretical uncertainties on Nb & Nc for now !!! ] | |
949 | // | |
950 | // extreme A = direct-max, feed-down-min | |
951 | theoryRatioExtremeA = (fhDirectMCptMax->GetBinContent(ibin) && fhDirectMCptMax->GetBinContent(ibin)!=0.) ? | |
952 | fhFeedDownMCptMin->GetBinContent(ibin) / fhDirectMCptMax->GetBinContent(ibin) : 1.0 ; | |
953 | // extreme B = direct-min, feed-down-max | |
954 | theoryRatioExtremeB = (fhDirectMCptMin->GetBinContent(ibin) && fhDirectMCptMin->GetBinContent(ibin)!=0.) ? | |
955 | fhFeedDownMCptMax->GetBinContent(ibin) / fhDirectMCptMin->GetBinContent(ibin) : 1.0 ; | |
956 | // conservative A = direct-max, feed-down-max | |
957 | theoryRatioConservativeA = (fhDirectMCptMax->GetBinContent(ibin) && fhDirectMCptMax->GetBinContent(ibin)!=0.) ? | |
958 | fhFeedDownMCptMax->GetBinContent(ibin) / fhDirectMCptMax->GetBinContent(ibin) : 1.0 ; | |
959 | // conservative B = direct-min, feed-down-min | |
960 | theoryRatioConservativeB = (fhDirectMCptMin->GetBinContent(ibin) && fhDirectMCptMin->GetBinContent(ibin)!=0.) ? | |
961 | fhFeedDownMCptMin->GetBinContent(ibin) / fhDirectMCptMin->GetBinContent(ibin) : 1.0 ; | |
bb427707 | 962 | |
65e55bbd | 963 | // eff_ratio = (eff_b/eff_c) |
86bdcd8c | 964 | effRatio = (fhDirectEffpt->GetBinContent(ibin) && fhDirectEffpt->GetBinContent(ibin)!=0.) ? |
965 | fhFeedDownEffpt->GetBinContent(ibin) / fhDirectEffpt->GetBinContent(ibin) : 1.0 ; | |
bb427707 | 966 | |
65e55bbd | 967 | // fc = 1 / ( 1 + (eff_b/eff_c)*(N_b/N_c) ) |
86bdcd8c | 968 | correction = ( 1. / ( 1 + ( effRatio * theoryRatio ) ) ); |
969 | correctionExtremeA = ( 1. / ( 1 + ( effRatio * theoryRatioExtremeA ) ) ); | |
970 | correctionExtremeB = ( 1. / ( 1 + ( effRatio * theoryRatioExtremeB ) ) ); | |
971 | correctionConservativeA = ( 1. / ( 1 + ( effRatio * theoryRatioConservativeA ) ) ); | |
972 | correctionConservativeB = ( 1. / ( 1 + ( effRatio * theoryRatioConservativeB ) ) ); | |
65e55bbd | 973 | |
8998180c | 974 | // fc uncertainty from (eff_b/eff_c) = fc^2 * (N_b/N_c) * delta(eff_b/eff_c) |
975 | // delta(eff_b/eff_c) is a percentage = fGlobalEfficiencyUncertainties[1]*effRatio | |
976 | correctionUnc = correction*correction * theoryRatio * fGlobalEfficiencyUncertainties[1]*effRatio; | |
977 | correctionExtremeAUnc = correctionExtremeA*correctionExtremeA * theoryRatioExtremeA * fGlobalEfficiencyUncertainties[1]*effRatio; | |
978 | correctionExtremeBUnc = correctionExtremeB*correctionExtremeB * theoryRatioExtremeB * fGlobalEfficiencyUncertainties[1]*effRatio; | |
979 | correctionConservativeAUnc = correctionConservativeA*correctionConservativeA * theoryRatioConservativeA * fGlobalEfficiencyUncertainties[1]*effRatio; | |
980 | correctionConservativeBUnc = correctionConservativeB*correctionConservativeB * theoryRatioConservativeB * fGlobalEfficiencyUncertainties[1]*effRatio; | |
981 | ||
982 | ||
65e55bbd | 983 | // Fill in the histograms |
a17b17dd | 984 | hTheoryRatio->SetBinContent(ibin,theoryRatio); |
985 | hEffRatio->SetBinContent(ibin,effRatio); | |
86bdcd8c | 986 | fhFc->SetBinContent(ibin,correction); |
65e55bbd | 987 | if (fAsymUncertainties) { |
988 | Double_t x = fhDirectMCpt->GetBinCenter(ibin); | |
8998180c | 989 | Double_t val[4] = { correctionExtremeA + correctionExtremeAUnc, correctionExtremeA - correctionExtremeAUnc, |
990 | correctionExtremeB + correctionExtremeBUnc, correctionExtremeB - correctionExtremeBUnc }; | |
991 | Double_t uncExtremeMin = correction - TMath::MinElement(4,val); | |
992 | Double_t uncExtremeMax = TMath::MaxElement(4,val) - correction; | |
86bdcd8c | 993 | fgFcExtreme->SetPoint(ibin,x,correction); // i,x,y |
994 | fgFcExtreme->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),uncExtremeMin,uncExtremeMax); // i,xl,xh,yl,yh | |
995 | fhFcMax->SetBinContent(ibin,correction+uncExtremeMax); | |
996 | fhFcMin->SetBinContent(ibin,correction-uncExtremeMin); | |
8998180c | 997 | Double_t consval[4] = { correctionConservativeA - correctionConservativeAUnc, correctionConservativeA + correctionConservativeAUnc, |
998 | correctionConservativeB - correctionConservativeBUnc, correctionConservativeB + correctionConservativeBUnc}; | |
999 | // Double_t uncConservativeMin = correction - (correctionConservativeA - correctionConservativeAUnc); | |
1000 | // Double_t uncConservativeMax = (correctionConservativeB + correctionConservativeBUnc) - correction; | |
1001 | Double_t uncConservativeMin = correction - TMath::MinElement(4,consval); | |
1002 | Double_t uncConservativeMax = TMath::MaxElement(4,consval) - correction; | |
86bdcd8c | 1003 | fgFcConservative->SetPoint(ibin,x,correction); // i,x,y |
1004 | fgFcConservative->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),uncConservativeMin,uncConservativeMax); // i,xl,xh,yl,yh | |
65e55bbd | 1005 | } |
1006 | ||
1007 | } | |
1008 | ||
65e55bbd | 1009 | } |
1010 | ||
1011 | //_________________________________________________________________________________________________________ | |
a17b17dd | 1012 | void AliHFPtSpectrum::CalculateFeedDownCorrectedSpectrumFc(){ |
65e55bbd | 1013 | // |
1014 | // Compute the feed-down corrected spectrum if feed-down correction is done via fc factor (bin by bin) | |
bb427707 | 1015 | // physics = reco * fc / bin-width |
65e55bbd | 1016 | // |
86bdcd8c | 1017 | // uncertainty: (stat) delta_physics = physics * sqrt ( (delta_reco/reco)^2 ) |
1018 | // (syst but feed-down) delta_physics = physics * sqrt ( (delta_reco_syst/reco)^2 ) | |
1019 | // (feed-down syst) delta_physics = physics * sqrt ( (delta_fc/fc)^2 ) | |
65e55bbd | 1020 | // |
1021 | // ( Calculation done bin by bin ) | |
1022 | ||
1023 | if (!fhFc || !fhRECpt) { | |
1024 | AliError(" Reconstructed or fc distributions are not defined"); | |
1025 | return; | |
1026 | } | |
1027 | ||
1028 | Int_t nbins = fhRECpt->GetNbinsX(); | |
86bdcd8c | 1029 | Double_t value = 0., errvalue = 0., errvalueMax= 0., errvalueMin= 0.; |
1030 | Double_t valueExtremeMax= 0., valueExtremeMin= 0.; | |
1031 | Double_t valueConservativeMax= 0., valueConservativeMin= 0.; | |
65e55bbd | 1032 | Double_t binwidth = fhRECpt->GetBinWidth(1); |
bb427707 | 1033 | Double_t *limits = new Double_t[nbins+1]; |
8998180c | 1034 | Double_t *binwidths = new Double_t[nbins]; |
bb427707 | 1035 | Double_t xlow=0.; |
86bdcd8c | 1036 | for (Int_t i=1; i<=nbins; i++) { |
bb427707 | 1037 | binwidth = fhRECpt->GetBinWidth(i); |
1038 | xlow = fhRECpt->GetBinLowEdge(i); | |
1039 | limits[i-1] = xlow; | |
de97013c | 1040 | binwidths[i] = binwidth; |
bb427707 | 1041 | } |
86bdcd8c | 1042 | limits[nbins] = xlow + binwidth; |
65e55bbd | 1043 | |
1044 | // declare the output histograms | |
86bdcd8c | 1045 | if (!fhYieldCorr) fhYieldCorr = new TH1D("fhYieldCorr","corrected yield (by fc)",nbins,limits); |
1046 | if (!fhYieldCorrMax) fhYieldCorrMax = new TH1D("fhYieldCorrMax","max corrected yield (by fc)",nbins,limits); | |
1047 | if (!fhYieldCorrMin) fhYieldCorrMin = new TH1D("fhYieldCorrMin","min corrected yield (by fc)",nbins,limits); | |
65e55bbd | 1048 | // and the output TGraphAsymmErrors |
86bdcd8c | 1049 | if (fAsymUncertainties & !fgYieldCorr) fgYieldCorr = new TGraphAsymmErrors(nbins+1); |
1050 | if (fAsymUncertainties & !fgYieldCorrExtreme) fgYieldCorrExtreme = new TGraphAsymmErrors(nbins+1); | |
1051 | if (fAsymUncertainties & !fgYieldCorrConservative) fgYieldCorrConservative = new TGraphAsymmErrors(nbins+1); | |
65e55bbd | 1052 | |
1053 | // | |
1054 | // Do the calculation | |
1055 | // | |
1056 | for (Int_t ibin=0; ibin<=nbins; ibin++) { | |
1057 | ||
1058 | // calculate the value | |
86bdcd8c | 1059 | // physics = reco * fc / bin-width |
65e55bbd | 1060 | value = fhRECpt->GetBinContent(ibin) * fhFc->GetBinContent(ibin) ; |
bb427707 | 1061 | value /= fhRECpt->GetBinWidth(ibin) ; |
86bdcd8c | 1062 | |
1063 | // Statistical uncertainty | |
1064 | // (stat) delta_physics = physics * sqrt ( (delta_reco/reco)^2 ) | |
1065 | errvalue = value * (fhRECpt->GetBinError(ibin)/fhRECpt->GetBinContent(ibin)) ; | |
1066 | ||
1067 | // Calculate the systematic uncertainties | |
1068 | // (syst but feed-down) delta_physics = physics * sqrt ( (delta_reco_syst/reco)^2 ) | |
1069 | // (feed-down syst) delta_physics = physics * sqrt ( (delta_fc/fc)^2 ) | |
1070 | // | |
65e55bbd | 1071 | // Protect against null denominator. If so, define uncertainty as null |
1072 | if (fhRECpt->GetBinContent(ibin) && fhRECpt->GetBinContent(ibin)!=0.) { | |
1073 | ||
1074 | if (fAsymUncertainties) { | |
1075 | ||
86bdcd8c | 1076 | // Systematics but feed-down |
1077 | if (fgRECSystematics) { | |
1078 | errvalueMax = value * ( fgRECSystematics->GetErrorYhigh(ibin) / fhRECpt->GetBinContent(ibin) ); | |
1079 | errvalueMin = value * ( fgRECSystematics->GetErrorYlow(ibin) / fhRECpt->GetBinContent(ibin) ); | |
65e55bbd | 1080 | } |
d38da1b0 | 1081 | else { errvalueMax = 0.; errvalueMin = 0.; } |
86bdcd8c | 1082 | |
1083 | // Extreme feed-down systematics | |
1084 | valueExtremeMax = fhRECpt->GetBinContent(ibin) * ( fhFc->GetBinContent(ibin) + fgFcExtreme->GetErrorYhigh(ibin) ) / fhRECpt->GetBinWidth(ibin) ; | |
1085 | valueExtremeMin = fhRECpt->GetBinContent(ibin) * ( fhFc->GetBinContent(ibin) - fgFcExtreme->GetErrorYlow(ibin) ) / fhRECpt->GetBinWidth(ibin) ; | |
1086 | ||
1087 | // Conservative feed-down systematics | |
1088 | valueConservativeMax = fhRECpt->GetBinContent(ibin) * ( fhFc->GetBinContent(ibin) + fgFcConservative->GetErrorYhigh(ibin) ) / fhRECpt->GetBinWidth(ibin) ; | |
1089 | valueConservativeMin = fhRECpt->GetBinContent(ibin) * ( fhFc->GetBinContent(ibin) - fgFcConservative->GetErrorYlow(ibin) ) / fhRECpt->GetBinWidth(ibin) ; | |
65e55bbd | 1090 | |
1091 | } | |
65e55bbd | 1092 | |
1093 | } | |
86bdcd8c | 1094 | else { errvalueMax = 0.; errvalueMin = 0.; } |
65e55bbd | 1095 | |
1096 | // fill in the histograms | |
86bdcd8c | 1097 | fhYieldCorr->SetBinContent(ibin,value); |
1098 | fhYieldCorr->SetBinError(ibin,errvalue); | |
65e55bbd | 1099 | if (fAsymUncertainties) { |
86bdcd8c | 1100 | Double_t center = fhYieldCorr->GetBinCenter(ibin); |
65e55bbd | 1101 | fgYieldCorr->SetPoint(ibin,center,value); // i,x,y |
86bdcd8c | 1102 | fgYieldCorr->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueMin,errvalueMax); // i,xl,xh,yl,yh |
1103 | fhYieldCorrMax->SetBinContent(ibin,value+errvalueMax); | |
1104 | fhYieldCorrMin->SetBinContent(ibin,value-errvalueMin); | |
1105 | fgYieldCorrExtreme->SetPoint(ibin,center,value); | |
1106 | fgYieldCorrExtreme->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),value-valueExtremeMin,valueExtremeMax-value); | |
1107 | fgYieldCorrConservative->SetPoint(ibin,center,value); | |
1108 | fgYieldCorrConservative->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),value-valueConservativeMin,valueConservativeMax-value); | |
65e55bbd | 1109 | } |
1110 | ||
1111 | } | |
1112 | ||
65e55bbd | 1113 | } |
1114 | ||
1115 | //_________________________________________________________________________________________________________ | |
a17b17dd | 1116 | void AliHFPtSpectrum::CalculateFeedDownCorrectedSpectrumNb(Double_t deltaY, Double_t branchingRatioBintoFinalDecay) { |
65e55bbd | 1117 | // |
1118 | // Compute the feed-down corrected spectrum if feed-down correction is done via Nb (bin by bin) | |
bb427707 | 1119 | // physics = [ reco - (lumi * delta_y * BR_b * eff_trig * eff_b * Nb_th) ] / bin-width |
65e55bbd | 1120 | // |
86bdcd8c | 1121 | // uncertainty: (stat) delta_physics = sqrt ( (delta_reco)^2 ) / bin-width |
1122 | // (syst but feed-down) delta_physics = sqrt ( (delta_reco_syst)^2 ) / bin-width | |
1123 | // (feed-down syst) delta_physics = sqrt ( (k*delta_lumi/lumi)^2 + (k*delta_eff_trig/eff_trig)^2 | |
8998180c | 1124 | // + (k*delta_Nb/Nb)^2 + (k*delta_eff/eff)^2 + (k*global_eff_ratio)^2 ) / bin-width |
65e55bbd | 1125 | // where k = lumi * delta_y * BR_b * eff_trig * eff_b * Nb_th |
1126 | // | |
1127 | ||
1128 | Int_t nbins = fhRECpt->GetNbinsX(); | |
1129 | Double_t binwidth = fhRECpt->GetBinWidth(1); | |
86bdcd8c | 1130 | Double_t value = 0., errvalue = 0., errvalueMax = 0., errvalueMin = 0., kfactor = 0.; |
1131 | Double_t errvalueExtremeMax = 0., errvalueExtremeMin = 0.; | |
bb427707 | 1132 | Double_t *limits = new Double_t[nbins+1]; |
de97013c | 1133 | Double_t *binwidths = new Double_t[nbins+1]; |
bb427707 | 1134 | Double_t xlow=0.; |
86bdcd8c | 1135 | for (Int_t i=1; i<=nbins; i++) { |
bb427707 | 1136 | binwidth = fhRECpt->GetBinWidth(i); |
1137 | xlow = fhRECpt->GetBinLowEdge(i); | |
1138 | limits[i-1] = xlow; | |
de97013c | 1139 | binwidths[i] = binwidth; |
bb427707 | 1140 | } |
86bdcd8c | 1141 | limits[nbins] = xlow + binwidth; |
65e55bbd | 1142 | |
1143 | // declare the output histograms | |
86bdcd8c | 1144 | if (!fhYieldCorr) fhYieldCorr = new TH1D("fhYieldCorr","corrected yield (by Nb)",nbins,limits); |
1145 | if (!fhYieldCorrMax) fhYieldCorrMax = new TH1D("fhYieldCorrMax","max corrected yield (by Nb)",nbins,limits); | |
1146 | if (!fhYieldCorrMin) fhYieldCorrMin = new TH1D("fhYieldCorrMin","min corrected yield (by Nb)",nbins,limits); | |
65e55bbd | 1147 | // and the output TGraphAsymmErrors |
86bdcd8c | 1148 | if (fAsymUncertainties & !fgYieldCorr) fgYieldCorr = new TGraphAsymmErrors(nbins+1); |
1149 | if (fAsymUncertainties & !fgYieldCorrExtreme) fgYieldCorrExtreme = new TGraphAsymmErrors(nbins+1); | |
1150 | if (fAsymUncertainties & !fgYieldCorrConservative) { | |
1151 | fgYieldCorrConservative = new TGraphAsymmErrors(nbins+1); | |
1152 | AliInfo(" Beware the conservative & extreme uncertainties are equal by definition !"); | |
1153 | } | |
65e55bbd | 1154 | |
1155 | // | |
1156 | // Do the calculation | |
1157 | // | |
1158 | for (Int_t ibin=0; ibin<=nbins; ibin++) { | |
1159 | ||
86bdcd8c | 1160 | // Calculate the value |
1161 | // physics = [ reco - (lumi * delta_y * BR_b * eff_trig * eff_b * Nb_th) ] / bin-width | |
a17b17dd | 1162 | value = fhRECpt->GetBinContent(ibin) - (deltaY*branchingRatioBintoFinalDecay*fLuminosity[0]*fTrigEfficiency[0]*fhFeedDownEffpt->GetBinContent(ibin)*fhFeedDownMCpt->GetBinContent(ibin) ); |
bb427707 | 1163 | value /= fhRECpt->GetBinWidth(ibin); |
65e55bbd | 1164 | |
86bdcd8c | 1165 | // Statistical uncertainty: delta_physics = sqrt ( (delta_reco)^2 ) / bin-width |
1166 | errvalue = fhRECpt->GetBinError(ibin); | |
1167 | errvalue /= fhRECpt->GetBinWidth(ibin); | |
65e55bbd | 1168 | |
86bdcd8c | 1169 | // Systematic uncertainties |
1170 | // (syst but feed-down) delta_physics = sqrt ( (delta_reco_syst)^2 ) / bin-width | |
1171 | // (feed-down syst) delta_physics = sqrt ( (k*delta_lumi/lumi)^2 + (k*delta_eff_trig/eff_trig)^2 | |
8998180c | 1172 | // + (k*delta_Nb/Nb)^2 + (k*delta_eff/eff)^2 + (k*global_eff_ratio)^2 ) / bin-width |
86bdcd8c | 1173 | // where k = lumi * delta_y * BR_b * eff_trig * eff_b * Nb_th |
1174 | kfactor = deltaY*branchingRatioBintoFinalDecay*fLuminosity[0]*fTrigEfficiency[0]*fhFeedDownEffpt->GetBinContent(ibin)*fhFeedDownMCpt->GetBinContent(ibin) ; | |
1175 | // | |
65e55bbd | 1176 | if (fAsymUncertainties) { |
8998180c | 1177 | Double_t Nb = fhFeedDownMCpt->GetBinContent(ibin); |
1178 | Double_t NbDmax = fhFeedDownMCptMax->GetBinContent(ibin) - fhFeedDownMCpt->GetBinContent(ibin); | |
1179 | Double_t NbDmin = fhFeedDownMCpt->GetBinContent(ibin) - fhFeedDownMCptMin->GetBinContent(ibin); | |
86bdcd8c | 1180 | |
1181 | // Systematics but feed-down | |
1182 | if (fgRECSystematics){ | |
1183 | errvalueMax = fgRECSystematics->GetErrorYhigh(ibin) / fhRECpt->GetBinWidth(ibin) ; | |
1184 | errvalueMin = fgRECSystematics->GetErrorYlow(ibin) / fhRECpt->GetBinWidth(ibin); | |
1185 | } | |
d38da1b0 | 1186 | else { errvalueMax = 0.; errvalueMin = 0.; } |
86bdcd8c | 1187 | |
1188 | // Feed-down systematics | |
1189 | // min value with the maximum Nb | |
1190 | errvalueExtremeMin = TMath::Sqrt( ( (kfactor*fLuminosity[1]/fLuminosity[0])*(kfactor*fLuminosity[1]/fLuminosity[0]) ) + | |
1191 | ( (kfactor*fTrigEfficiency[1]/fTrigEfficiency[0])*(kfactor*fTrigEfficiency[1]/fTrigEfficiency[0]) ) + | |
8998180c | 1192 | ( (kfactor*NbDmax/Nb)*(kfactor*NbDmax/Nb) ) + |
1193 | ( (kfactor*fhFeedDownEffpt->GetBinError(ibin)/fhFeedDownEffpt->GetBinContent(ibin))*(kfactor*fhFeedDownEffpt->GetBinError(ibin)/fhFeedDownEffpt->GetBinContent(ibin)) ) + | |
1194 | ( (kfactor*fGlobalEfficiencyUncertainties[1])*(kfactor*fGlobalEfficiencyUncertainties[1]) ) | |
1195 | ) / fhRECpt->GetBinWidth(ibin); | |
86bdcd8c | 1196 | // max value with the minimum Nb |
1197 | errvalueExtremeMax = TMath::Sqrt( ( (kfactor*fLuminosity[1]/fLuminosity[0])*(kfactor*fLuminosity[1]/fLuminosity[0]) ) + | |
1198 | ( (kfactor*fTrigEfficiency[1]/fTrigEfficiency[0])*(kfactor*fTrigEfficiency[1]/fTrigEfficiency[0]) ) + | |
8998180c | 1199 | ( (kfactor*NbDmin/Nb)*(kfactor*NbDmin/Nb) ) + |
1200 | ( (kfactor*fhFeedDownEffpt->GetBinError(ibin)/fhFeedDownEffpt->GetBinContent(ibin))*(kfactor*fhFeedDownEffpt->GetBinError(ibin)/fhFeedDownEffpt->GetBinContent(ibin)) ) + | |
1201 | ( (kfactor*fGlobalEfficiencyUncertainties[1])*(kfactor*fGlobalEfficiencyUncertainties[1]) ) | |
1202 | ) / fhRECpt->GetBinWidth(ibin); | |
65e55bbd | 1203 | } |
1204 | else{ // Don't consider Nb uncertainty in this case [ to be tested!!! ] | |
86bdcd8c | 1205 | errvalueExtremeMax = TMath::Sqrt( ( (kfactor*fLuminosity[1]/fLuminosity[0])*(kfactor*fLuminosity[1]/fLuminosity[0]) ) + |
1206 | ( (kfactor*fTrigEfficiency[1]/fTrigEfficiency[0])*(kfactor*fTrigEfficiency[1]/fTrigEfficiency[0]) ) + | |
8998180c | 1207 | ( (kfactor*fhFeedDownEffpt->GetBinError(ibin)/fhFeedDownEffpt->GetBinContent(ibin))*(kfactor*fhFeedDownEffpt->GetBinError(ibin)/fhFeedDownEffpt->GetBinContent(ibin)) ) + |
1208 | ( (kfactor*fGlobalEfficiencyUncertainties[1])*(kfactor*fGlobalEfficiencyUncertainties[1]) ) | |
1209 | ) / fhRECpt->GetBinWidth(ibin); | |
86bdcd8c | 1210 | errvalueExtremeMin = errvalueExtremeMax ; |
65e55bbd | 1211 | } |
1212 | ||
1213 | // fill in histograms | |
86bdcd8c | 1214 | fhYieldCorr->SetBinContent(ibin,value); |
1215 | fhYieldCorr->SetBinError(ibin,errvalue); | |
65e55bbd | 1216 | if (fAsymUncertainties) { |
86bdcd8c | 1217 | Double_t x = fhYieldCorr->GetBinCenter(ibin); |
65e55bbd | 1218 | fgYieldCorr->SetPoint(ibin,x,value); // i,x,y |
86bdcd8c | 1219 | fgYieldCorr->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueMin,errvalueMax); // i,xl,xh,yl,yh |
1220 | fhYieldCorrMax->SetBinContent(ibin,value+errvalueMax); | |
1221 | fhYieldCorrMin->SetBinContent(ibin,value-errvalueMin); | |
1222 | fgYieldCorrExtreme->SetPoint(ibin,x,value); // i,x,y | |
1223 | fgYieldCorrExtreme->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueExtremeMin,errvalueExtremeMax); // i,xl,xh,yl,yh | |
1224 | fgYieldCorrConservative->SetPoint(ibin,x,value); // i,x,y | |
1225 | fgYieldCorrConservative->SetPointError(ibin,(binwidths[ibin]/2.),(binwidths[ibin]/2.),errvalueExtremeMin,errvalueExtremeMax); // i,xl,xh,yl,yh | |
65e55bbd | 1226 | } |
1227 | ||
1228 | } | |
1229 | ||
65e55bbd | 1230 | } |
1231 | ||
1232 | ||
8998180c | 1233 | //_________________________________________________________________________________________________________ |
1234 | void AliHFPtSpectrum::ComputeSystUncertainties(Int_t decay, Bool_t combineFeedDown) { | |
1235 | ||
1236 | // Call the systematics uncertainty class for a given decay | |
1237 | AliHFSystErr systematics(decay); | |
1238 | ||
1239 | // Estimate the feed-down uncertainty in percentage | |
1240 | Int_t nentries = fgSigmaCorrConservative->GetN(); | |
1241 | TGraphAsymmErrors *grErrFeeddown = new TGraphAsymmErrors(nentries); | |
1242 | Double_t x=0., y=0., errx=0., erryl=0., erryh=0; | |
1243 | for(Int_t i=0; i<nentries; i++) { | |
1244 | fgSigmaCorrConservative->GetPoint(i,x,y); | |
1245 | errx = fgSigmaCorrConservative->GetErrorXlow(i) ; | |
1246 | erryl = fgSigmaCorrConservative->GetErrorYlow(i) / y ; | |
1247 | erryh = fgSigmaCorrConservative->GetErrorYhigh(i) / y ; | |
1248 | grErrFeeddown->SetPoint(i,x,0.); | |
1249 | grErrFeeddown->SetPointError(i,errx,errx,erryl,erryh); //i, xl, xh, yl, yh | |
1250 | } | |
1251 | ||
1252 | // Draw all the systematics independently | |
1253 | systematics.DrawErrors(grErrFeeddown); | |
1254 | ||
1255 | // Set the sigma systematic uncertainties | |
1256 | // possibly combine with the feed-down uncertainties | |
1257 | Double_t errylcomb=0., erryhcomb=0; | |
1258 | for(Int_t i=1; i<nentries; i++) { | |
1259 | fgSigmaCorr->GetPoint(i,x,y); | |
1260 | errx = grErrFeeddown->GetErrorXlow(i) ; | |
1261 | erryl = grErrFeeddown->GetErrorYlow(i); | |
1262 | erryh = grErrFeeddown->GetErrorYhigh(i); | |
1263 | if (combineFeedDown) { | |
1264 | errylcomb = systematics.GetTotalSystErr(x,erryl) * y ; | |
1265 | erryhcomb = systematics.GetTotalSystErr(x,erryh) * y ; | |
1266 | } else { | |
1267 | errylcomb = systematics.GetTotalSystErr(x) * y ; | |
1268 | erryhcomb = systematics.GetTotalSystErr(x) * y ; | |
1269 | } | |
1270 | fgSigmaCorr->SetPointError(i,errx,errx,errylcomb,erryhcomb); | |
1271 | } | |
1272 | ||
1273 | } | |
1274 | ||
1275 | ||
1276 | //_________________________________________________________________________________________________________ | |
1277 | void AliHFPtSpectrum::DrawSpectrum(TGraphAsymmErrors *gPrediction) { | |
1278 | ||
1279 | TCanvas *csigma = new TCanvas("csigma","Draw the corrected cross-section & the prediction"); | |
1280 | csigma->SetFillColor(0); | |
1281 | gPrediction->GetXaxis()->SetTitleSize(0.05); | |
1282 | gPrediction->GetXaxis()->SetTitleOffset(0.95); | |
1283 | gPrediction->GetYaxis()->SetTitleSize(0.05); | |
1284 | gPrediction->GetYaxis()->SetTitleOffset(0.95); | |
1285 | gPrediction->GetXaxis()->SetTitle("p_{T} [GeV]"); | |
1286 | gPrediction->GetYaxis()->SetTitle("BR #times #frac{d#sigma}{dp_{T}} |_{|y|<0.5} [pb/GeV]"); | |
1287 | gPrediction->SetLineColor(kGreen+2); | |
1288 | gPrediction->SetLineWidth(3); | |
1289 | gPrediction->SetFillColor(kGreen+1); | |
1290 | gPrediction->Draw("3CA"); | |
1291 | fgSigmaCorr->SetLineColor(kRed); | |
1292 | fgSigmaCorr->SetLineWidth(1); | |
1293 | fgSigmaCorr->SetFillColor(kRed); | |
1294 | fgSigmaCorr->SetFillStyle(0); | |
1295 | fgSigmaCorr->Draw("2"); | |
1296 | fhSigmaCorr->SetMarkerColor(kRed); | |
1297 | fhSigmaCorr->Draw("esame"); | |
1298 | csigma->SetLogy(); | |
1299 | TLegend * leg = new TLegend(0.7,0.75,0.87,0.5); | |
1300 | leg->SetBorderSize(0); | |
1301 | leg->SetLineColor(0); | |
1302 | leg->SetFillColor(0); | |
1303 | leg->SetTextFont(42); | |
1304 | leg->AddEntry(gPrediction,"FONLL ","fl"); | |
1305 | leg->AddEntry(fhSigmaCorr,"data stat. unc.","pl"); | |
1306 | leg->AddEntry(fgSigmaCorr,"data syst. unc.","f"); | |
1307 | leg->Draw(); | |
1308 | csigma->Draw(); | |
1309 | ||
1310 | } | |
1311 | ||
65e55bbd | 1312 | //_________________________________________________________________________________________________________ |
86bdcd8c | 1313 | TH1D * AliHFPtSpectrum::ReweightHisto(TH1D *hToReweight, TH1D *hReference){ |
65e55bbd | 1314 | // |
1315 | // Function to reweight histograms for testing purposes: | |
1316 | // This function takes the histo hToReweight and reweights | |
1317 | // it (its pt shape) with respect to hReference | |
1318 | // | |
1319 | ||
1320 | // check histograms consistency | |
1321 | Bool_t areconsistent=kTRUE; | |
1322 | areconsistent &= CheckHistosConsistency(hToReweight,hReference); | |
1323 | if (!areconsistent) { | |
1324 | AliInfo("the histograms to reweight are not consistent (bin width, bounds)"); | |
1325 | return NULL; | |
1326 | } | |
1327 | ||
1328 | // define a new empty histogram | |
86bdcd8c | 1329 | TH1D *hReweighted = (TH1D*)hToReweight->Clone("hReweighted"); |
65e55bbd | 1330 | hReweighted->Reset(); |
1331 | Double_t weight=1.0; | |
1332 | Double_t yvalue=1.0; | |
a17b17dd | 1333 | Double_t integralRef = hReference->Integral(); |
1334 | Double_t integralH = hToReweight->Integral(); | |
65e55bbd | 1335 | |
1336 | // now reweight the spectra | |
1337 | // | |
1338 | // the weight is the relative probability of the given pt bin in the reference histo | |
1339 | // divided by its relative probability (to normalize it) on the histo to re-weight | |
1340 | for (Int_t i=0; i<=hToReweight->GetNbinsX(); i++) { | |
a17b17dd | 1341 | weight = (hReference->GetBinContent(i)/integralRef) / (hToReweight->GetBinContent(i)/integralH) ; |
65e55bbd | 1342 | yvalue = hToReweight->GetBinContent(i); |
1343 | hReweighted->SetBinContent(i,yvalue*weight); | |
1344 | } | |
1345 | ||
86bdcd8c | 1346 | return (TH1D*)hReweighted; |
65e55bbd | 1347 | } |
1348 | ||
1349 | //_________________________________________________________________________________________________________ | |
86bdcd8c | 1350 | TH1D * AliHFPtSpectrum::ReweightRecHisto(TH1D *hRecToReweight, TH1D *hMCToReweight, TH1D *hMCReference){ |
65e55bbd | 1351 | // |
1352 | // Function to reweight histograms for testing purposes: | |
1353 | // This function takes the histo hToReweight and reweights | |
1354 | // it (its pt shape) with respect to hReference /hMCToReweight | |
1355 | // | |
1356 | ||
1357 | // check histograms consistency | |
1358 | Bool_t areconsistent=kTRUE; | |
1359 | areconsistent &= CheckHistosConsistency(hMCToReweight,hMCReference); | |
1360 | areconsistent &= CheckHistosConsistency(hRecToReweight,hMCReference); | |
1361 | if (!areconsistent) { | |
1362 | AliInfo("the histograms to reweight are not consistent (bin width, bounds)"); | |
1363 | return NULL; | |
1364 | } | |
1365 | ||
1366 | // define a new empty histogram | |
86bdcd8c | 1367 | TH1D *hReweighted = (TH1D*)hMCToReweight->Clone("hReweighted"); |
65e55bbd | 1368 | hReweighted->Reset(); |
86bdcd8c | 1369 | TH1D *hRecReweighted = (TH1D*)hRecToReweight->Clone("hRecReweighted"); |
65e55bbd | 1370 | hRecReweighted->Reset(); |
1371 | Double_t weight=1.0; | |
1372 | Double_t yvalue=1.0, yrecvalue=1.0; | |
a17b17dd | 1373 | Double_t integralRef = hMCReference->Integral(); |
1374 | Double_t integralH = hMCToReweight->Integral(); | |
65e55bbd | 1375 | |
1376 | // now reweight the spectra | |
1377 | // | |
1378 | // the weight is the relative probability of the given pt bin | |
1379 | // that should be applied in the MC histo to get the reference histo shape | |
1380 | // Probabilities are properly normalized. | |
1381 | for (Int_t i=0; i<=hMCToReweight->GetNbinsX(); i++) { | |
a17b17dd | 1382 | weight = (hMCReference->GetBinContent(i)/integralRef) / (hMCToReweight->GetBinContent(i)/integralH) ; |
65e55bbd | 1383 | yvalue = hMCToReweight->GetBinContent(i); |
1384 | hReweighted->SetBinContent(i,yvalue*weight); | |
1385 | yrecvalue = hRecToReweight->GetBinContent(i); | |
1386 | hRecReweighted->SetBinContent(i,yrecvalue*weight); | |
1387 | } | |
1388 | ||
86bdcd8c | 1389 | return (TH1D*)hRecReweighted; |
65e55bbd | 1390 | } |
1391 |