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Removing useless flag.
[u/mrichter/AliRoot.git] / PWGDQ / dielectron / AliDielectronBtoJPSItoEleCDFfitFCN.h
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c683985a 1#ifndef ALIDIELECTRONBTOJPSITOELECDFFITFCN_H
2#define ALIDIELECTRONBTOJPSITOELECDFFITFCN_H
3/* Copyright(c) 1998-2009, ALICE Experiment at CERN, All rights reserved. *
4 * See cxx source for full Copyright notice */
5
6//_________________________________________________________________________
7// Class AliDielectronBtoJPSItoEleCDFfitFCN
8// Definition of main function used in
9// unbinned log-likelihood fit for
10// the channel B -> JPsi + X -> e+e- + X
11//
12// Origin: C.Di Giglio
13// Contact: Carmelo.Digiglio@ba.infn.it , Giuseppe.Bruno@ba.infn.it
14//_________________________________________________________________________
15
16#include <TNamed.h>
17#include <TDatabasePDG.h>
18#include <TH1F.h>
19
20
21class TRandom3;
22class TF1;
23
24//_________________________________________________________________________________________________
25class AliDielectronBtoJPSItoEleCDFfitFCN : public TNamed {
26 public:
27 //
28 AliDielectronBtoJPSItoEleCDFfitFCN();
29 AliDielectronBtoJPSItoEleCDFfitFCN(const AliDielectronBtoJPSItoEleCDFfitFCN& source);
30 AliDielectronBtoJPSItoEleCDFfitFCN& operator=(const AliDielectronBtoJPSItoEleCDFfitFCN& source);
31 virtual ~AliDielectronBtoJPSItoEleCDFfitFCN();
32
33 Double_t EvaluateLikelihood(const Double_t* pseudoproperdecaytime,
34e8fe1d 34 const Double_t* invariantmass, const Double_t* pt, const Int_t* type, Int_t ncand) const;
c683985a 35
36 // getters for parameters
37 Double_t GetResWeight() const { return fParameters[0]; }
38 Double_t GetFPlus() const { return fParameters[1]; }
39 Double_t GetFMinus() const { return fParameters[2]; }
40 Double_t GetFSym() const { return fParameters[3]; }
41 Double_t GetFSym1() const { return fParameters[46]; }
42 Double_t GetLamPlus() const { return fParameters[4]; }
43 Double_t GetLamMinus() const { return fParameters[5]; }
44 Double_t GetLamSym() const { return fParameters[6]; }
45 Double_t GetLamSym1() const { return fParameters[45]; }
46 Double_t GetFractionJpsiFromBeauty() const { return fParameters[7]; }
47 Double_t GetFsig() const { return fParameters[8]; }
48 Double_t GetCrystalBallMmean() const { return fParameters[9]; }
49 Double_t GetCrystalBallNexp() const { return fParameters[10]; }
50 Double_t GetCrystalBallSigma() const { return fParameters[11]; }
51 Double_t GetCrystalBallAlpha() const { return fParameters[12]; }
52 Double_t GetCrystalBallNorm() const { return fParameters[13]; }
53 Double_t GetBkgInvMassNorm() const { return fParameters[14]; }
54 Double_t GetBkgInvMassMean() const { return fParameters[15]; }
55 Double_t GetBkgInvMassSlope() const { return fParameters[16]; }
56 Double_t GetBkgInvMassConst() const { return fParameters[17]; }
57 Double_t GetNormGaus1ResFunc(Int_t type) const { return fParameters[18+(2-type)*9]; }
58 Double_t GetNormGaus2ResFunc(Int_t type) const { return fParameters[19+(2-type)*9]; }
59 Double_t GetIntegralMassSig() const { return fintmMassSig; }
60 Double_t GetIntegralMassBkg() const { return fintmMassBkg; }
61 Double_t GetResMean1(Int_t type) const { return fParameters[20+(2-type)*9]; }
62 Double_t GetResSigma1(Int_t type) const { return fParameters[21+(2-type)*9]; }
63 Double_t GetResMean2(Int_t type) const { return fParameters[22+(2-type)*9]; }
64 Double_t GetResSigma2(Int_t type) const { return fParameters[23+(2-type)*9]; }
65 Double_t GetResAlfa(Int_t type) const { return fParameters[24+(2-type)*9]; }
66 Double_t GetResLambda(Int_t type) const { return fParameters[25+(2-type)*9]; }
67 Double_t GetResNormExp(Int_t type) const { return fParameters[26+(2-type)*9]; }
68 Double_t GetPolyn4() const { return fParameters[47]; }
69 Double_t GetPolyn5() const { return fParameters[48]; }
70 Bool_t GetCrystalBallParam() const { return fCrystalBallParam; }
71 Bool_t GetExponentialParam() const { return fExponentialParam; }
72 TH1F * GetCsiMcHisto() const { return fhCsiMC; }
73 Double_t GetResWeight(Int_t iW) const { return fWeightType[iW]; }
74
75 // return pointer to likelihood functions
76 TF1* GetCsiMC(Double_t xmin, Double_t xmax,Double_t normalization);
77 TF1* GetResolutionFunc(Double_t xmin, Double_t xmax,Double_t normalization, Double_t pt, Int_t type=2);
78 TF1* GetResolutionFuncAllTypes(Double_t xmin, Double_t xmax,Double_t normalization);
79 TF1* GetFunB(Double_t xmin, Double_t xmax, Double_t normalization, Double_t pt, Int_t type=2, Int_t npx = 5000);
80 TF1* GetFunBAllTypes(Double_t xmin, Double_t xmax, Double_t normalization);
81 TF1* GetEvaluateCDFDecayTimeBkgDistr(Double_t xmin, Double_t xmax, Double_t normalization, Int_t type = 2, Double_t mass = 3.09, Double_t pt = 200.,Int_t npx = 5000);
82 TF1* GetEvaluateCDFDecayTimeBkgDistrAllTypes(Double_t xmin, Double_t xmax, Double_t normalization);
83 TF1* GetEvaluateCDFDecayTimeSigDistr(Double_t xmin, Double_t xmax, Double_t normalization, Double_t type);
84 TF1* GetEvaluateCDFInvMassBkgDistr(Double_t mMin, Double_t mMax, Double_t normalization);
85 TF1* GetEvaluateCDFInvMassSigDistr(Double_t mMin, Double_t mMax, Double_t normalization);
86 TF1* GetEvaluateCDFInvMassTotalDistr(Double_t mMin, Double_t mMax, Double_t normalization);
87 TF1* GetEvaluateCDFDecayTimeTotalDistr(Double_t xMin, Double_t xMax, Double_t normalization,Double_t pt = 200., Int_t type=2);
88 TF1 *GetEvaluateCDFDecayTimeTotalDistrAllTypes(Double_t xMin, Double_t xMax, Double_t normalization);
89
90 void SetResWeight(Double_t resWgt) {fParameters[0] = resWgt;}
91 void SetFPlus(Double_t plus) {fParameters[1] = plus;}
92 void SetFMinus(Double_t minus) {fParameters[2] = minus;}
93 void SetFSym(Double_t sym) {fParameters[3] = sym;}
94 void SetFSym1(Double_t sym) {fParameters[46] = sym;}
95 void SetLamPlus(Double_t lamplus) {fParameters[4] = lamplus;}
96 void SetLamMinus(Double_t lamminus) {fParameters[5] = lamminus;}
97 void SetLamSym(Double_t lamsym) {fParameters[6] = lamsym;}
98 void SetLamSym1(Double_t lamsym) {fParameters[45] = lamsym;}
99 void SetFractionJpsiFromBeauty(Double_t B) {fParameters[7] = B;}
100 void SetFsig(Double_t Fsig) {fParameters[8] = Fsig;}
101 void SetCrystalBallMmean(Double_t CrystalBallMmean) {fParameters[9] = CrystalBallMmean;}
102 void SetCrystalBallNexp(Double_t CrystalBallNexp) {fParameters[10] = CrystalBallNexp;}
103 void SetCrystalBallSigma(Double_t CrystalBallSigma) {fParameters[11] = CrystalBallSigma;}
104 void SetCrystalBallAlpha(Double_t CrystalBallAlpha) {fParameters[12] = CrystalBallAlpha;}
105 void SetCrystalBallNorm(Double_t CrystalBallNorm) {fParameters[13] = CrystalBallNorm;}
106 void SetBkgInvMassNorm(Double_t BkgInvMassNorm) {fParameters[14] = BkgInvMassNorm;}
107 void SetBkgInvMassMean(Double_t BkgInvMassMean) {fParameters[15] = BkgInvMassMean;}
108 void SetBkgInvMassSlope(Double_t BkgInvMassSlope) {fParameters[16] = BkgInvMassSlope;}
109 void SetBkgInvMassConst(Double_t BkgInvMassConst) {fParameters[17] = BkgInvMassConst;}
110 void SetBkgInvMassPolyn4(Double_t coeffPol4) {fParameters[47] = coeffPol4;}
111 void SetBkgInvMassPolyn5(Double_t coeffPol5) {fParameters[48] = coeffPol5;}
112 void SetNormGaus1ResFunc(Double_t norm1) {fParameters[18] = norm1;}
113 void SetNormGaus2ResFunc(Double_t norm2) {fParameters[19] = norm2;}
114 void SetAllParameters(const Double_t* parameters);
115 void SetIntegralMassSig(Double_t integral) { fintmMassSig = integral; }
116 void SetIntegralMassBkg(Double_t integral) { fintmMassBkg = integral; }
117 void SetCsiMC(const TH1F* MCtemplate) {fhCsiMC = (TH1F*)MCtemplate->Clone("fhCsiMC");}
118 void SetTemplateShift(Double_t shift = 0.){fShiftTemplate = shift;}
119
120 void SetResolutionConstants(const Double_t* resolutionConst, Int_t type);
121 void SetMassWndHigh(Double_t limit) { fMassWndHigh = TDatabasePDG::Instance()->GetParticle(443)->Mass() + limit ;}
122 void SetMassWndLow(Double_t limit) { fMassWndLow = TDatabasePDG::Instance()->GetParticle(443)->Mass() - limit ;}
123 void SetCrystalBallFunction(Bool_t okCB) {fCrystalBallParam = okCB;}
124 void SetExponentialFunction(Bool_t okExp) {fExponentialParam = okExp;}
125
126 void SetWeightType(Double_t wFF, Double_t wFS, Double_t wSS) {fWeightType[0]= wSS; fWeightType[1]= wFS; fWeightType[2]= wFF;}
127
128 void SetChangeResolution(Double_t change){fChangeResolution = change;}
129 void SetChangeMass(Double_t change){fChangeMass = change;}
130 void ComputeMassIntegral();
131 void ReadMCtemplates(Int_t BinNum);
132 void PrintStatus();
133
134 //specific methods for multi-variational fit
135 void SetBkgWeights(Double_t ***bkgWgt){for(int kpt=0; kpt<(fPtWindows->GetSize()-1); kpt++){for(int k=0; k<(fMassWindows->GetSize()-2); k++) { for(int ktype=0; ktype<3; ktype++) fWeights[k][kpt][ktype]=bkgWgt[k][kpt][ktype]; }}}
136
137 void SetBkgFunction(Int_t massRange,Int_t type, Int_t ptB, TF1 *histBkg){
138 fFunBkgSaved[ptB][massRange][type] = histBkg;
139 }
140 TF1 *GetBkgFunction(Int_t massRange, Int_t ptB, Int_t type) const {return fFunBkgSaved[ptB][massRange][type];}
141 void SetFunBFunction(Int_t type, Int_t ptB, TF1 *histSec) { fFunBSaved[ptB][type] = histSec; }
142 void SetBackgroundSpecificParameters(Int_t pt, Int_t mb, Int_t tp);
143 void SetExtrapolationRegion(Int_t extrRegion){fSignalBinForExtrapolation = extrRegion;} void SetLoadFunction(Bool_t loadFunc) { fLoadFunctions = loadFunc;}
144 void SetMultivariateFit(Bool_t multVar) { fMultivariate = multVar;}
145 Bool_t GetMultivariate() const { return fMultivariate;}
146 void SetFunctionsSaved(Int_t npxFunB=5000, Int_t npxFunBkg=5000, Double_t funBLimits = 20000., Double_t funBkgLimits = 40000., Int_t signalRegion=2);
147 void SetResParams(Double_t ***pars){ fResParams = pars;}
148 void SetBkgParams(Float_t ****pars){ fBkgParams = pars;}
149 void SetMassWindows(TArrayD *msWnd){ fMassWindows = msWnd;}
150 void SetPtWindows(TArrayD *ptWnd){ fPtWindows = ptWnd;}
151 void InitializeFunctions(Int_t ptSize, Int_t massSize);
152 Double_t EvaluateCDFInvMassSigDistr(Double_t m) const ;
153 Double_t EvaluateCDFInvMassBkgDistr(Double_t m) const;
154 Double_t ResolutionFunc(Double_t x, Double_t pt, Int_t type) const;
155 Double_t EvaluateCDFDecayTimeBkgDistr(Double_t x, Int_t type, Double_t m=3.09, Double_t pt=200.) const ;
156
157
158 private:
159 Double_t fParameters[49]; /* par[0] = weightRes;
160 par[1] = fPos;
161 par[2] = fNeg;
162 par[3] = fSym
163 par[4] = fOneOvLamPlus;
164 par[5] = fOneOvLamMinus;
165 par[6] = fOneOvLamSym;
166 par[7] = fFractionJpsiFromBeauty;
167 par[8] = fFsig;
168 par[9] = fCrystalBallMmean;
169 par[10] = fCrystalBallNexp;
170 par[11] = fCrystalBallSigma;
171 par[12] = fCrystalBallAlpha;
172 par[13] = fCrystalBallNorm;
173 par[14] = fBkgNorm;
174 par[15] = fBkgMean;
175 par[16] = fBkgSlope;
176 par[17] = fBkgConst;
177 par[18] = norm1Gaus; // resolution param used for First-First
178 par[19] = norm2Gaus;
179 par[20] = fMean1ResFunc;
180 par[21] = fSigma1ResFunc;
181 par[22] = fMean2ResFunc;
182 par[23] = fSigma2ResFunc;
183 par[24] = fResAlfa;
184 par[25] = fResLambda;
185 par[26] = fResNormExp;
186 par[27] = norm1Gaus; // resolution param used for First-Second
187 par[28] = norm2Gaus;
188 par[29] = fMean1ResFunc;
189 par[30] = fSigma1ResFunc;
190 par[31] = fMean2ResFunc;
191 par[32] = fSigma2ResFunc;
192 par[33] = fResAlfa;
193 par[34] = fResLambda;
194 par[35] = fResNormExp;
195 par[36] = norm1Gaus; // resolution param used for Second-Second
196 par[37] = norm2Gaus;
197 par[38] = fMean1ResFunc;
198 par[39] = fSigma1ResFunc;
199 par[40] = fMean2ResFunc;
200 par[41] = fSigma2ResFunc;
201 par[42] = fResAlfa;
202 par[43] = fResLambda;
203 par[44] = fResNormExp;
204 ------------------------------> parameters to describe x and m à la CDF
205 // additional parameters below (added for PbPb analysis): if not used should be fixed
206 // by the FitHandler pointer
207 par[45] = fOneOvLamSym1; // additional parameter for background
208 par[46] = fSym1; // additional parameter for background
209 par[47] = fPolyn4; //additional parameter for inv. mass background
210 par[48] = fPolyn5; //additional parameter for inv. mass background */
211
212 Double_t fFPlus; // parameter of the log-likelihood function
213 Double_t fFMinus; // slopes of the x distributions of the background
214 Double_t fFSym; // functions
215
216 Double_t fintmMassSig; // integral of invariant mass distribution for the signal
217 Double_t fintmMassBkg; // integral of invariant mass distribution for the bkg
218
219 TH1F *fhCsiMC; // X distribution used as MC template for JPSI from B
220
221 Double_t fShiftTemplate; // to shift the MC template
222 Double_t fMassWndHigh; // JPSI Mass window higher limit
223 Double_t fMassWndLow; // JPSI Mass window lower limit
224 Bool_t fCrystalBallParam; // Boolean to switch to Crystall Ball parameterisation
225
226 Double_t fWeightType[3]; // vector with weights of candidates types (used to draw functions)
227 Double_t fChangeResolution; // constant to change the RMS of the resolution function
228 Double_t fChangeMass; // constant to change the RMS of the signal mass function
229
230 // data members for multivariate fit
231 Double_t ***fWeights; // weights to interpolate bkg shape in pt, mass, type bins under signal region
232 Bool_t fLoadFunctions; // boolean to load functions saved
233 Bool_t fMultivariate; // switch-on multivariate fit
234 TF1 ***fFunBSaved; // pointers to save functions for x of non-prompt J/psi in pt, mass, type bins
235 TF1 ****fFunBkgSaved; // pointers to save functions for x of background in pt, mass, type bins
236 Double_t ***fResParams; // resolution function parameters in pt and type bins
237 Float_t ****fBkgParams; // x background parameters in pt, mass, type bins
238 TArrayD *fMassWindows; // limits for invariant mass bins
239 TArrayD *fPtWindows; // limits for pt bins
240 Bool_t fExponentialParam; // Boolean to switch to Exponential parameterisation
241 Double_t fSignalBinForExtrapolation; // inv. mass region in which extrapolate the background shape
242 // starting from background shapes in the near inv. mass regions
243
244
245 Double_t EvaluateCDFfunc(Double_t x, Double_t m, Double_t pt, Int_t type) const ;
246 Double_t EvaluateCDFfuncNorm(Double_t x, Double_t m, Double_t pt, Int_t type) const ;
247 Double_t EvaluateCDFfuncSignalPart(Double_t x, Double_t m, Double_t pt, Int_t type) const ; // Signal part
248 Double_t EvaluateCDFDecayTimeSigDistr(Double_t x, Double_t pt, Int_t type) const ;
249 Double_t EvaluateCDFDecayTimeSigDistrFunc(const Double_t* x, const Double_t *par) const { return par[0]*EvaluateCDFDecayTimeSigDistr(x[0],par[1],(Int_t)par[2]);}
250 Double_t EvaluateCDFInvMassSigDistrFunc(const Double_t* x, const Double_t *par) const {return par[0]*EvaluateCDFInvMassSigDistr(x[0])/fintmMassSig;}
251 Double_t EvaluateCDFfuncBkgPart(Double_t x,Double_t m, Double_t pt, Int_t type) const ; // Background part
252 Double_t EvaluateCDFDecayTimeBkgDistrFunc(const Double_t* x, const Double_t *par) const { return EvaluateCDFDecayTimeBkgDistr(x[0],(Int_t)par[1],par[2],par[3])*par[0];}
253 Double_t EvaluateCDFDecayTimeBkgDistrFuncAllTypes(const Double_t* x, const Double_t *par) const {return (fWeightType[2]*EvaluateCDFDecayTimeBkgDistr(x[0],2)+fWeightType[1]*EvaluateCDFDecayTimeBkgDistr(x[0],1)+fWeightType[0]*EvaluateCDFDecayTimeBkgDistr(x[0],0))*par[0];}
254 Double_t EvaluateCDFInvMassBkgDistrFunc(const Double_t* x, const Double_t *par) const {return par[0]*EvaluateCDFInvMassBkgDistr(x[0])/fintmMassBkg;}
255
256 Double_t EvaluateCDFInvMassTotalDistr(const Double_t* x, const Double_t *par) const;
257 Double_t EvaluateCDFDecayTimeTotalDistr(const Double_t* x, const Double_t *par) const;
258 ////
259 Double_t EvaluateCDFDecayTimeTotalDistrAllTypes(const Double_t* x, const Double_t *par) const;
260
261 Double_t FunB(Double_t x, Double_t pt, Int_t type) const;
262 Double_t FunBfunc(const Double_t *x, const Double_t *par) const {return FunB(x[0],par[1],(Int_t)par[2])*par[0];}
263 Double_t FunBfuncAllTypes(const Double_t *x, const Double_t *par) const {return (fWeightType[2]*FunB(x[0],200.,2)+fWeightType[1]*FunB(x[0],200.,1)+fWeightType[0]*FunB(x[0],200.,0))*par[0];}
264 Double_t FunP(Double_t x, Double_t pt,Int_t type) const ;
265 Double_t CsiMC(Double_t x) const;
266 Double_t CsiMCfunc(const Double_t* x, const Double_t *par) const { return CsiMC(x[0])*par[0];}
267 Double_t FunBkgPos(Double_t x, Double_t pt, Int_t type) const ;
268 Double_t FunBkgNeg(Double_t x, Double_t pt, Int_t type) const ;
269 Double_t FunBkgSym(Double_t x, Double_t pt, Int_t type) const ;
270 Double_t FunBkgSym1(Double_t x, Double_t pt, Int_t type) const ;
271 Double_t ResolutionFuncf(const Double_t* x, const Double_t *par) const { return ResolutionFunc(x[0],par[1],(Int_t)par[2])*par[0];}
272 Double_t ResolutionFuncAllTypes(const Double_t* x, const Double_t *par) const { return (fWeightType[2]*ResolutionFunc(x[0],200.,2)+fWeightType[1]*ResolutionFunc(x[0],200.,1)+fWeightType[0]*ResolutionFunc(x[0],200.,0))*par[0]; }
273
274 // private methods for multivariate fit
275 Double_t EvaluateCDFDecayTimeBkgDistrSaved(Double_t x, Int_t type, Double_t m=3.09, Double_t pt = 200.) const ;
276 Double_t EvaluateCDFDecayTimeBkgDistrDifferential(Double_t x, Int_t type, Double_t m=3.09, Double_t pt = 200.) const;
277 Double_t FunBsaved(Double_t x, Double_t pt, Int_t type) const;
278
279 ClassDef (AliDielectronBtoJPSItoEleCDFfitFCN,1); // Unbinned log-likelihood fit
280
281};
282
283#endif