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65e55bbd | 1 | #ifndef ALIHFPTSPECTRUM_H |
2 | #define ALIHFPTSPECTRUM_H | |
3 | ||
4 | /* Copyright(c) 1998-2010, ALICE Experiment at CERN, All rights reserved. * | |
5 | * See cxx source for full Copyright notice */ | |
6 | ||
27de2dfb | 7 | /* $Id$ */ |
8 | ||
65e55bbd | 9 | //*********************************************************************** |
10 | // Class AliHFPtSpectrum | |
11 | // Base class for feed-down corrections on heavy-flavour decays | |
12 | // computes the cross-section via one of the three implemented methods: | |
13 | // 0) Consider no feed-down prediction | |
14 | // 1) Subtract the feed-down with the "fc" method | |
15 | // Yield = Reco * fc; where fc = 1 / ( 1 + (eff_b/eff_c)*(N_b/N_c) ) ; | |
16 | // 2) Subtract the feed-down with the "Nb" method | |
17 | // Yield = Reco - Feed-down (exact formula on the function implementation) | |
18 | // | |
bb427707 | 19 | // (the corrected yields per bin are divided by the bin-width) |
20 | // | |
4d4e48c7 | 21 | // |
22 | // In HIC you can also evaluate how the feed-down correction is influenced by an energy loss hypothesis: | |
23 | // Raa(c-->D) / Raa(b-->D) defined here as Rcb for the "fc" method | |
24 | // Raa(b-->D) defined here as Rb for the "Nb" method | |
25 | // | |
65e55bbd | 26 | // Author: Z.Conesa, zconesa@in2p3.fr |
27 | //*********************************************************************** | |
28 | ||
29 | #include "TNamed.h" | |
86bdcd8c | 30 | #include "TMath.h" |
e52da743 | 31 | |
32 | class TH1; | |
4d4e48c7 | 33 | class TH2; |
34 | class TNtuple; | |
e52da743 | 35 | class TGraphAsymmErrors; |
36 | ||
65e55bbd | 37 | |
38 | class AliHFPtSpectrum: public TNamed | |
39 | { | |
40 | ||
41 | public: | |
42 | ||
43 | // Constructor | |
44 | AliHFPtSpectrum(const char* name="AliHFPtSpectrum", const char* title="HF feed down correction class", Int_t option=1); | |
45 | // Copy constructor | |
46 | AliHFPtSpectrum(const AliHFPtSpectrum &rhs); | |
47 | // Assignment operator | |
48 | AliHFPtSpectrum& operator=(const AliHFPtSpectrum &source); | |
49 | // Destructor | |
50 | virtual ~AliHFPtSpectrum(); | |
51 | ||
52 | // | |
53 | // Setters | |
54 | // | |
55 | // Set the theoretical direct & feeddown pt spectrum | |
86bdcd8c | 56 | void SetMCptSpectra(TH1D *hDirect, TH1D *hFeedDown); |
65e55bbd | 57 | // Set the theoretical feeddown pt spectrum |
86bdcd8c | 58 | void SetFeedDownMCptSpectra(TH1D *hFeedDown); |
65e55bbd | 59 | // Set the theoretical direct & feeddown pt spectrum upper and lower bounds |
86bdcd8c | 60 | void SetMCptDistributionsBounds(TH1D *hDirectMax, TH1D *hDirectMin, TH1D *hFeedDownMax, TH1D *hFeedDownMin); |
65e55bbd | 61 | // Set the theoretical feeddown pt spectrum upper and lower bounds |
86bdcd8c | 62 | void SetFeedDownMCptDistributionsBounds(TH1D *hFeedDownMax, TH1D *hFeedDownMin); |
65e55bbd | 63 | // Set the acceptance and efficiency corrections for direct |
86bdcd8c | 64 | void SetDirectAccEffCorrection(TH1D *hDirectEff); |
65e55bbd | 65 | // Set the acceptance and efficiency corrections for direct & feeddown |
86bdcd8c | 66 | void SetAccEffCorrection(TH1D *hDirectEff, TH1D *hFeedDownEff); |
65e55bbd | 67 | // Set the reconstructed spectrum |
86bdcd8c | 68 | void SetReconstructedSpectrum(TH1D *hRec); |
69 | void SetReconstructedSpectrumSystematics(TGraphAsymmErrors *gRec); | |
65e55bbd | 70 | // Set the calculation option flag for feed-down correction: 0=none, 1=fc , 2=Nb |
71 | void SetFeedDownCalculationOption(Int_t option){ fFeedDownOption = option; } | |
72 | // Set if the calculation has to consider asymmetric uncertaInt_ties or not | |
a17b17dd | 73 | void SetComputeAsymmetricUncertainties(Bool_t flag){ fAsymUncertainties = flag; } |
4d4e48c7 | 74 | // Set if the calculation has to consider Ratio(c/b eloss) hypothesis |
75 | void SetComputeElossHypothesis(Bool_t flag){ fPbPbElossHypothesis = flag; } | |
65e55bbd | 76 | // Set the luminosity and its uncertainty |
77 | void SetLuminosity(Double_t luminosity, Double_t unc){ | |
78 | fLuminosity[0]=luminosity; fLuminosity[1]=unc; | |
79 | } | |
80 | // Set the trigger efficiency and its uncertainty | |
81 | void SetTriggerEfficiency(Double_t efficiency, Double_t unc){ | |
82 | fTrigEfficiency[0]=efficiency; fTrigEfficiency[1]=unc; | |
83 | } | |
8998180c | 84 | // Set global acceptance x efficiency correction uncertainty (in percentages) |
85 | void SetAccEffPercentageUncertainty(Double_t globalEffUnc, Double_t globalBCEffRatioUnc){ | |
86 | fGlobalEfficiencyUncertainties[0] = globalEffUnc; | |
87 | fGlobalEfficiencyUncertainties[1] = globalBCEffRatioUnc; | |
88 | } | |
86bdcd8c | 89 | // Set the normalization factors |
90 | void SetNormalization(Double_t normalization){ | |
4d4e48c7 | 91 | fLuminosity[0]=normalization; |
86bdcd8c | 92 | } |
4d4e48c7 | 93 | void SetNormalization(Int_t nevents, Double_t sigma){ |
94 | fLuminosity[0]=nevents/sigma; | |
95 | fNevts = nevents; | |
86bdcd8c | 96 | } |
4d4e48c7 | 97 | void SetNormalization(Int_t nevents, Double_t sigma, Double_t sigmaunc){ |
86bdcd8c | 98 | fLuminosity[0] = nevents/sigma; |
86bdcd8c | 99 | fLuminosity[1] = fLuminosity[0] * TMath::Sqrt( (1/nevents) + (sigmaunc/sigma)*(sigmaunc/sigma) ); |
4d4e48c7 | 100 | fNevts = nevents; |
101 | } | |
102 | // | |
103 | // Set the Tab parameter and its uncertainty | |
104 | void SetTabParameter(Double_t tabvalue, Double_t uncertainty){ | |
105 | fTab[0] = tabvalue; | |
106 | fTab[1] = uncertainty; | |
86bdcd8c | 107 | } |
65e55bbd | 108 | |
4d4e48c7 | 109 | |
65e55bbd | 110 | // |
111 | // Getters | |
112 | // | |
5f3c1b97 | 113 | // Return the theoretical predictions used for the calculation (rebinned if needed) |
e52da743 | 114 | TH1D * GetDirectTheoreticalSpectrum() const { return (fhDirectMCpt ? (TH1D*)fhDirectMCpt : NULL); } |
115 | TH1D * GetDirectTheoreticalUpperLimitSpectrum() const { return (fhDirectMCptMax ? (TH1D*)fhDirectMCptMax : NULL); } | |
116 | TH1D * GetDirectTheoreticalLowerLimitSpectrum() const { return (fhDirectMCptMin ? (TH1D*)fhDirectMCptMin : NULL); } | |
117 | TH1D * GetFeedDownTheoreticalSpectrum() const { return (fhFeedDownMCpt ? (TH1D*)fhFeedDownMCpt : NULL); } | |
118 | TH1D * GetFeedDownTheoreticalUpperLimitSpectrum() const { return (fhFeedDownMCptMax ? (TH1D*)fhFeedDownMCptMax : NULL); } | |
119 | TH1D * GetFeedDownTheoreticalLowerLimitSpectrum() const { return (fhFeedDownMCptMin ? (TH1D*)fhFeedDownMCptMin : NULL); } | |
5f3c1b97 | 120 | // Return the acceptance and efficiency corrections (rebinned if needed) |
e52da743 | 121 | TH1D * GetDirectAccEffCorrection() const { return (fhDirectEffpt ? (TH1D*)fhDirectEffpt : NULL); } |
122 | TH1D * GetFeedDownAccEffCorrection() const { return (fhFeedDownEffpt ? (TH1D*)fhFeedDownEffpt : NULL); } | |
4d4e48c7 | 123 | // Return whether the Ratio(c/b eloss) hypothesis has been considered |
124 | Bool_t IsElossHypothesisCalculated(){ return fPbPbElossHypothesis; } | |
86bdcd8c | 125 | // Return the TGraphAsymmErrors of the feed-down correction (extreme systematics) |
e52da743 | 126 | TGraphAsymmErrors * GetFeedDownCorrectionFcExtreme() const { return (fgFcExtreme ? fgFcExtreme : NULL); } |
86bdcd8c | 127 | // Return the TGraphAsymmErrors of the feed-down correction (conservative systematics) |
e52da743 | 128 | TGraphAsymmErrors * GetFeedDownCorrectionFcConservative() const { return (fgFcConservative ? fgFcConservative : NULL); } |
65e55bbd | 129 | // Return the histogram of the feed-down correction |
e52da743 | 130 | TH1D * GetHistoFeedDownCorrectionFc() const { return (fhFc ? (TH1D*)fhFc : NULL); } |
65e55bbd | 131 | // Return the histograms of the feed-down correction bounds |
e52da743 | 132 | TH1D * GetHistoUpperLimitFeedDownCorrectionFc() const { return (fhFcMax ? (TH1D*)fhFcMax : NULL); } |
133 | TH1D * GetHistoLowerLimitFeedDownCorrectionFc() const { return (fhFcMin ? (TH1D*)fhFcMin : NULL); } | |
4d4e48c7 | 134 | // Return the histogram of the feed-down correction times the Ratio(c/b eloss) |
135 | TH2D * GetHistoFeedDownCorrectionFcVsEloss() const { return (fhFcRcb ? (TH2D*)fhFcRcb : NULL); } | |
86bdcd8c | 136 | // Return the TGraphAsymmErrors of the yield after feed-down correction (systematics but feed-down) |
e52da743 | 137 | TGraphAsymmErrors * GetFeedDownCorrectedSpectrum() const { return (fgYieldCorr ? fgYieldCorr : NULL); } |
86bdcd8c | 138 | // Return the TGraphAsymmErrors of the yield after feed-down correction (feed-down extreme systematics) |
e52da743 | 139 | TGraphAsymmErrors * GetFeedDownCorrectedSpectrumExtreme() const { return (fgYieldCorrExtreme ? fgYieldCorrExtreme : NULL); } |
86bdcd8c | 140 | // Return the TGraphAsymmErrors of the yield after feed-down correction (feed-down conservative systematics) |
e52da743 | 141 | TGraphAsymmErrors * GetFeedDownCorrectedSpectrumConservative() const { return (fgYieldCorrConservative ? fgYieldCorrConservative : NULL); } |
65e55bbd | 142 | // Return the histogram of the yield after feed-down correction |
e52da743 | 143 | TH1D * GetHistoFeedDownCorrectedSpectrum() const { return (fhYieldCorr ? (TH1D*)fhYieldCorr : NULL); } |
65e55bbd | 144 | // Return the histogram of the yield after feed-down correction bounds |
e52da743 | 145 | TH1D * GetHistoUpperLimitFeedDownCorrectedSpectrum() const { return (fhYieldCorrMax ? (TH1D*)fhYieldCorrMax : NULL); } |
146 | TH1D * GetHistoLowerLimitFeedDownCorrectedSpectrum() const { return (fhYieldCorrMin ? (TH1D*)fhYieldCorrMin : NULL); } | |
4d4e48c7 | 147 | // Return the histogram of the yield after feed-down correction vs the Ratio(c/b eloss) |
148 | TH2D * GetHistoFeedDownCorrectedSpectrumVsEloss() const { return (fhYieldCorrRcb ? (TH2D*)fhYieldCorrRcb : NULL); } | |
86bdcd8c | 149 | // Return the equivalent invariant cross-section TGraphAsymmErrors (systematics but feed-down) |
e52da743 | 150 | TGraphAsymmErrors * GetCrossSectionFromYieldSpectrum() const { return (fgSigmaCorr ? fgSigmaCorr : NULL); } |
86bdcd8c | 151 | // Return the equivalent invariant cross-section TGraphAsymmErrors (feed-down extreme systematics) |
e52da743 | 152 | TGraphAsymmErrors * GetCrossSectionFromYieldSpectrumExtreme() const { return (fgSigmaCorrExtreme ? fgSigmaCorrExtreme : NULL); } |
86bdcd8c | 153 | // Return the equivalent invariant cross-section TGraphAsymmErrors (feed-down conservative systematics) |
e52da743 | 154 | TGraphAsymmErrors * GetCrossSectionFromYieldSpectrumConservative() const { return (fgSigmaCorrConservative ? fgSigmaCorrConservative : NULL); } |
65e55bbd | 155 | // Return the equivalent invariant cross-section histogram |
e52da743 | 156 | TH1D * GetHistoCrossSectionFromYieldSpectrum() const { return (fhSigmaCorr ? (TH1D*)fhSigmaCorr : NULL); } |
65e55bbd | 157 | // Return the equivalent invariant cross-section histogram bounds |
e52da743 | 158 | TH1D * GetHistoUpperLimitCrossSectionFromYieldSpectrum() const { return (fhSigmaCorrMax ? (TH1D*)fhSigmaCorrMax : NULL); } |
159 | TH1D * GetHistoLowerLimitCrossSectionFromYieldSpectrum() const { return (fhSigmaCorrMin ? (TH1D*)fhSigmaCorrMin : NULL); } | |
4d4e48c7 | 160 | // Return the cross section systematics from data systematics |
161 | TH1D * GetHistoCrossSectionDataSystematics() const { return (fhSigmaCorrDataSyst ? (TH1D*)fhSigmaCorrDataSyst : NULL); } | |
162 | // | |
163 | // PbPb special calculations | |
164 | // Return the equivalent invariant cross-section histogram vs the Ratio(c/b eloss) | |
165 | TH2D * GetHistoCrossSectionFromYieldSpectrumVsEloss() const { return (fhSigmaCorrRcb ? (TH2D*)fhSigmaCorrRcb : NULL); } | |
166 | // Return the ntuple of the calculation vs the Ratio(c/b eloss) | |
167 | TNtuple * GetNtupleCrossSectionVsEloss() { return (fnSigma ? (TNtuple*)fnSigma : NULL); } | |
168 | // | |
169 | // | |
170 | // Histograms to keep track of the influence of the efficiencies statistical uncertainty on the cross-section | |
171 | TH1D * GetDirectStatEffUncOnSigma() const { return (TH1D*)fhStatUncEffcSigma; } | |
172 | TH1D * GetFeedDownStatEffUncOnSigma() const { return (TH1D*)fhStatUncEffbSigma; } | |
173 | // Histograms to keep track of the influence of the efficiencies statistical uncertainty on the feed-down correction factor | |
174 | TH1D * GetDirectStatEffUncOnFc() const { return (TH1D*)fhStatUncEffcFD; } | |
175 | TH1D * GetFeedDownStatEffUncOnFc() const { return (TH1D*)fhStatUncEffbFD; } | |
176 | ||
65e55bbd | 177 | |
178 | // | |
179 | // Main function: | |
180 | // Compute the invariant cross-section from the yield (correct it) | |
a17b17dd | 181 | // variables : analysed delta_y, BR for the final correction, BR b --> decay (relative to the input theoretical prediction) |
182 | void ComputeHFPtSpectrum(Double_t deltaY=1.0, Double_t branchingRatioC=1.0, Double_t branchingRatioBintoFinalDecay=1.0); | |
65e55bbd | 183 | |
8998180c | 184 | // Compute the systematic uncertainties |
185 | // taking as input the AliHFSystErr uncertainties | |
5541b811 | 186 | void ComputeSystUncertainties(AliHFSystErr *systematics, Bool_t combineFeedDown); |
8998180c | 187 | // |
188 | // Drawing the corrected spectrum comparing to theoretical prediction | |
189 | void DrawSpectrum(TGraphAsymmErrors *gPrediction); | |
190 | ||
bb427707 | 191 | // |
192 | // Basic functions | |
193 | // | |
86bdcd8c | 194 | void EstimateAndSetDirectEfficiencyRecoBin(TH1D *hSimu, TH1D *hReco); |
195 | void EstimateAndSetFeedDownEfficiencyRecoBin(TH1D *hSimu, TH1D *hReco); | |
bb427707 | 196 | |
65e55bbd | 197 | // |
198 | // Functions to reweight histograms for testing purposes: | |
199 | // to reweight the simulation: hToReweight is reweighted as hReference/hToReweight | |
86bdcd8c | 200 | TH1D * ReweightHisto(TH1D *hToReweight, TH1D *hReference); |
65e55bbd | 201 | // to reweight the reco-histos: hRecToReweight is reweighted as hReference/hMCToReweight |
86bdcd8c | 202 | TH1D * ReweightRecHisto(TH1D *hRecToReweight, TH1D *hMCToReweight, TH1D *hMCReference); |
4d4e48c7 | 203 | // Functionality to find the y-axis bin of a TH2 for a given y-value |
204 | Int_t FindTH2YBin(TH2D *histo, Float_t yvalue); | |
65e55bbd | 205 | |
206 | ||
207 | protected: | |
208 | ||
209 | // Initialization | |
210 | Bool_t Initialize(); | |
211 | ||
212 | // Basic functions | |
213 | // | |
214 | // Compute the feed-down correction via fc-method | |
a17b17dd | 215 | void CalculateFeedDownCorrectionFc(); |
65e55bbd | 216 | // Correct the yield for feed-down correction via fc-method |
a17b17dd | 217 | void CalculateFeedDownCorrectedSpectrumFc(); |
65e55bbd | 218 | // Correct the yield for feed-down correction via Nb-method |
a17b17dd | 219 | void CalculateFeedDownCorrectedSpectrumNb(Double_t deltaY, Double_t branchingRatioBintoFinalDecay); |
65e55bbd | 220 | |
221 | // Check histograms consistency function | |
86bdcd8c | 222 | Bool_t CheckHistosConsistency(TH1D *h1, TH1D *h2); |
5f3c1b97 | 223 | // Function to rebin the theoretical spectra in the data-reconstructed spectra binning |
86bdcd8c | 224 | TH1D * RebinTheoreticalSpectra(TH1D *hTheory, const char *name); |
5f3c1b97 | 225 | // Function to estimate the efficiency in the data-reconstructed spectra binning |
86bdcd8c | 226 | TH1D * EstimateEfficiencyRecoBin(TH1D *hSimu, TH1D *hReco, const char *name); |
227 | ||
65e55bbd | 228 | |
229 | // | |
230 | // Input spectra | |
231 | // | |
86bdcd8c | 232 | TH1D *fhDirectMCpt; // Input MC c-->D spectra |
233 | TH1D *fhFeedDownMCpt; // Input MC b-->D spectra | |
234 | TH1D *fhDirectMCptMax; // Input MC maximum c-->D spectra | |
235 | TH1D *fhDirectMCptMin; // Input MC minimum c-->D spectra | |
236 | TH1D *fhFeedDownMCptMax; // Input MC maximum b-->D spectra | |
237 | TH1D *fhFeedDownMCptMin; // Input MC minimum b-->D spectra | |
238 | TH1D *fhDirectEffpt; // c-->D Acceptance and efficiency correction | |
239 | TH1D *fhFeedDownEffpt; // b-->D Acceptance and efficiency correction | |
240 | TH1D *fhRECpt; // all reconstructed D | |
241 | // | |
242 | TGraphAsymmErrors *fgRECSystematics; // all reconstructed D Systematic uncertainties | |
65e55bbd | 243 | // |
244 | // Normalization factors | |
4d4e48c7 | 245 | Int_t fNevts; // nb of analyzed events |
65e55bbd | 246 | Double_t fLuminosity[2]; // analyzed luminosity & uncertainty |
247 | Double_t fTrigEfficiency[2]; // trigger efficiency & uncertainty | |
8998180c | 248 | Double_t fGlobalEfficiencyUncertainties[2]; // uncertainties on the efficiency [0]=c, b, [1]=b/c |
4d4e48c7 | 249 | Double_t fTab[2]; // Tab parameter and its uncertainty |
65e55bbd | 250 | |
251 | // | |
252 | // Output spectra | |
253 | // | |
86bdcd8c | 254 | TH1D *fhFc; // Correction histo fc = 1 / ( 1 + (eff_b/eff_c)*(N_b/N_c) ) |
255 | TH1D *fhFcMax; // Maximum fc histo | |
256 | TH1D *fhFcMin; // Minimum fc histo | |
4d4e48c7 | 257 | TH2D *fhFcRcb; // Correction histo fc vs the Ratio(c/b eloss) |
86bdcd8c | 258 | TGraphAsymmErrors * fgFcExtreme; // Extreme correction as TGraphAsymmErrors |
259 | TGraphAsymmErrors * fgFcConservative; // Extreme correction as TGraphAsymmErrors | |
260 | TH1D *fhYieldCorr; // Corrected yield (stat unc. only) | |
261 | TH1D *fhYieldCorrMax; // Maximum corrected yield | |
262 | TH1D *fhYieldCorrMin; // Minimum corrected yield | |
4d4e48c7 | 263 | TH2D *fhYieldCorrRcb; // Corrected yield (stat unc. only) vs the Ratio(c/b eloss) |
86bdcd8c | 264 | TGraphAsymmErrors * fgYieldCorr; // Corrected yield as TGraphAsymmErrors (syst but feed-down) |
265 | TGraphAsymmErrors * fgYieldCorrExtreme; // Extreme corrected yield as TGraphAsymmErrors (syst from feed-down) | |
266 | TGraphAsymmErrors * fgYieldCorrConservative; // Conservative corrected yield as TGraphAsymmErrors (syst from feed-down) | |
267 | TH1D *fhSigmaCorr; // Corrected cross-section (stat unc. only) | |
268 | TH1D *fhSigmaCorrMax; // Maximum corrected cross-section | |
269 | TH1D *fhSigmaCorrMin; // Minimum corrected cross-section | |
4d4e48c7 | 270 | TH1D *fhSigmaCorrDataSyst; // Corrected cross-section (syst. unc. from data only) |
271 | TH2D *fhSigmaCorrRcb; // Corrected cross-section (stat unc. only) vs the Ratio(c/b eloss) | |
86bdcd8c | 272 | TGraphAsymmErrors * fgSigmaCorr; // Corrected cross-section as TGraphAsymmErrors (syst but feed-down) |
273 | TGraphAsymmErrors * fgSigmaCorrExtreme; // Extreme corrected cross-section as TGraphAsymmErrors (syst from feed-down) | |
274 | TGraphAsymmErrors * fgSigmaCorrConservative; // Conservative corrected cross-section as TGraphAsymmErrors (syst from feed-down) | |
4d4e48c7 | 275 | // |
276 | TNtuple *fnSigma; // Ntuple of the calculation vs the Ratio(c/b eloss) | |
65e55bbd | 277 | |
278 | // | |
279 | Int_t fFeedDownOption; // feed-down correction flag: 0=none, 1=fc, 2=Nb | |
280 | Bool_t fAsymUncertainties; // flag: asymmetric uncertainties are (1) or not (0) considered | |
4d4e48c7 | 281 | Bool_t fPbPbElossHypothesis; // flag: whether to do estimates vs Ratio(c/b eloss) hypothesis |
65e55bbd | 282 | |
4d4e48c7 | 283 | // |
284 | TH1D *fhStatUncEffcSigma; // Uncertainty on the cross-section due to the prompt efficiency statistical uncertainty | |
285 | TH1D *fhStatUncEffbSigma; // Uncertainty on the cross-section due to the feed-down efficiency statistical uncertainty | |
286 | TH1D *fhStatUncEffcFD; // Uncertainty on the feed-down correction due to the prompt efficiency statistical uncertainty | |
287 | TH1D *fhStatUncEffbFD; // Uncertainty on the feed-down correction due to the feed-down efficiency statistical uncertainty | |
65e55bbd | 288 | |
4d4e48c7 | 289 | ClassDef(AliHFPtSpectrum,2) // Class for Heavy Flavor spectra corrections |
65e55bbd | 290 | }; |
291 | ||
292 | #endif |