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1 | /************************************************************************** |
| 2 | * Copyright(c) 2007-2009, 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 | /* $Id$ */ |
| 17 | |
| 18 | /////////////////////////////////////////////////////////////////////// |
| 19 | // Class with the fits algorithms to be used in the identified // |
| 20 | // spectra analysis using the ITS in stand-alone mode // |
| 21 | // Author: E.Biolcati, biolcati@to.infn.it // |
| 22 | // F.Prino, prino@to.infn.it // |
| 23 | /////////////////////////////////////////////////////////////////////// |
| 24 | |
| 25 | #include <Riostream.h> |
| 26 | #include <TLatex.h> |
| 27 | #include <TH1F.h> |
| 28 | #include <TF1.h> |
| 29 | #include <TH1D.h> |
| 30 | #include <TLine.h> |
| 31 | #include <TH2F.h> |
| 32 | #include <TMath.h> |
| 33 | #include <TGraph.h> |
| 34 | #include <TGraphErrors.h> |
| 35 | #include <TLegend.h> |
| 36 | #include <TLegendEntry.h> |
| 37 | #include <TStyle.h> |
| 38 | #include <Rtypes.h> |
| 39 | #include "AliITSsadEdxFitter.h" |
| 40 | |
| 41 | |
| 42 | ClassImp(AliITSsadEdxFitter) |
| 43 | //______________________________________________________________________ |
| 44 | AliITSsadEdxFitter::AliITSsadEdxFitter():TObject(), |
| 45 | fExpPionMean(0.), |
| 46 | fExpKaonMean(0.), |
| 47 | fExpProtonMean(0.), |
| 48 | fExpPionMeanRange(0.), |
| 49 | fExpKaonMeanRange(0.), |
| 50 | fExpProtonMeanRange(0.), |
| 51 | fExpPionSigma(0.), |
| 52 | fExpKaonSigma(0.), |
| 53 | fExpProtonSigma(0.), |
| 54 | fExpPionAmpl(0.), |
| 55 | fIsMC(kFALSE), |
| 56 | fOptInit(0), |
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57 | fFitOption("M0R+"), |
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58 | fITSpid(0) |
| 59 | { |
| 60 | // standard constructor |
| 61 | for(Int_t i=0; i<9; i++) fFitPars[i] = 0.; |
| 62 | for(Int_t i=0; i<9; i++) fFitParErrors[i] = 0.; |
| 63 | for(Int_t i=0; i<3; i++) fFitpar[i] = 0.; |
| 64 | for(Int_t i=0; i<3; i++) fFitparErr[i] = 0.; |
| 65 | SetRangeStep1(); |
| 66 | SetRangeStep2(); |
| 67 | SetRangeStep3(); |
| 68 | SetRangeFinalStep(); |
| 69 | SetLimitsOnSigmaPion(); |
| 70 | SetLimitsOnSigmaKaon(); |
| 71 | SetLimitsOnSigmaProton(); |
| 72 | SetBinsUsedPion(); |
| 73 | SetBinsUsedKaon(); |
| 74 | SetBinsUsedProton(); |
| 75 | fITSpid=new AliITSPIDResponse(kFALSE); |
| 76 | }; |
| 77 | //______________________________________________________________________ |
| 78 | AliITSsadEdxFitter::AliITSsadEdxFitter(Bool_t isMC):TObject(), |
| 79 | fExpPionMean(0.), |
| 80 | fExpKaonMean(0.), |
| 81 | fExpProtonMean(0.), |
| 82 | fExpPionMeanRange(0.), |
| 83 | fExpKaonMeanRange(0.), |
| 84 | fExpProtonMeanRange(0.), |
| 85 | fExpPionSigma(0.), |
| 86 | fExpKaonSigma(0.), |
| 87 | fExpProtonSigma(0.), |
| 88 | fExpPionAmpl(0.), |
| 89 | fIsMC(isMC), |
| 90 | fOptInit(0), |
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91 | fFitOption("M0R+"), |
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92 | fITSpid(0) |
| 93 | { |
| 94 | // standard constructor |
| 95 | for(Int_t i=0; i<9; i++) fFitPars[i] = 0.; |
| 96 | for(Int_t i=0; i<9; i++) fFitParErrors[i] = 0.; |
| 97 | for(Int_t i=0; i<3; i++) fFitpar[i] = 0.; |
| 98 | for(Int_t i=0; i<3; i++) fFitparErr[i] = 0.; |
| 99 | SetRangeStep1(); |
| 100 | SetRangeStep2(); |
| 101 | SetRangeStep3(); |
| 102 | SetRangeFinalStep(); |
| 103 | SetLimitsOnSigmaPion(); |
| 104 | SetLimitsOnSigmaKaon(); |
| 105 | SetLimitsOnSigmaProton(); |
| 106 | SetBinsUsedPion(); |
| 107 | SetBinsUsedKaon(); |
| 108 | SetBinsUsedProton(); |
| 109 | fITSpid=new AliITSPIDResponse(isMC); |
| 110 | }; |
| 111 | |
| 112 | //________________________________________________________ |
| 113 | Double_t AliITSsadEdxFitter::CalcSigma(Int_t code,Float_t x) const { |
| 114 | // calculate the sigma 12-ott-2010 |
| 115 | Double_t p[2]={0.}; |
| 116 | Double_t xMinKaon=0.15; //minimum pt value to consider the kaon peak |
| 117 | Double_t xMinProton=0.3;//minimum pt value to consider the proton peak |
| 118 | if(fIsMC){ |
| 119 | if(code==211){ |
| 120 | p[0] = -1.20337e-04; |
| 121 | p[1] = 1.13060e-01; |
| 122 | } |
| 123 | else if(code==321 && x>xMinKaon){ |
| 124 | p[0] = -2.39631e-03; |
| 125 | p[1] = 1.15723e-01; |
| 126 | } |
| 127 | else if(code==2212 && x>xMinProton){ |
| 128 | p[0] = -8.34576e-03; |
| 129 | p[1] = 1.34237e-01; |
| 130 | } |
| 131 | else return -1; |
| 132 | } |
| 133 | else{ |
| 134 | if(code==211){ |
| 135 | p[0] = -6.55200e-05; |
| 136 | p[1] = 1.26657e-01; |
| 137 | } |
| 138 | else if(code==321 && x>xMinKaon){ |
| 139 | p[0] = -6.22639e-04; |
| 140 | p[1] = 1.43289e-01; |
| 141 | } |
| 142 | else if(code==2212 && x>xMinProton){ |
| 143 | p[0] = -2.13243e-03; |
| 144 | p[1] = 1.68614e-01; |
| 145 | } |
| 146 | else return -1; |
| 147 | } |
| 148 | return p[0]/(x*x)*TMath::Log(x)+p[1]; |
| 149 | } |
| 150 | |
| 151 | //_______________________________________________________ |
| 152 | Int_t AliITSsadEdxFitter::InitializeMeanPosParam(Int_t code, Float_t x){ |
| 153 | // Set initial values for peak positions from ad-hoc parameterizations (Melinda, 5 april 2010) |
| 154 | |
| 155 | Double_t p1[5]={0.}; |
| 156 | Double_t p2[5]={0.}; |
| 157 | Double_t p3[5]={0.}; |
| 158 | Double_t ep1[5]={0.}; |
| 159 | Double_t ep2[5]={0.}; |
| 160 | Double_t ep3[5]={0.}; |
| 161 | if(!fIsMC){ // data parameters |
| 162 | if(code==211){ |
| 163 | |
| 164 | p1[0]=-4.21001e-04; p1[1]=-3.41133e-02; p1[2]=0.; p1[3]=0.; p1[4]=0.; |
| 165 | ep1[0]= 3.62105e-06; ep1[1]= 1.52077e-04; ep1[2]= 0.; ep1[3]= 0.; ep1[4]= 0.; |
| 166 | |
| 167 | p2[0] = 8.04038e+00; p2[1] = 1.51139e-01; p2[2] = 8.89984e-02; p2[3]= 0.; p2[4]= 0.; |
| 168 | ep2[0]= 6.47330e-02; ep2[1]= 3.09501e-03; ep2[2]= 6.03642e-04; ep2[3]= 0.; ep2[4]= 0.; |
| 169 | |
| 170 | p3[0] = 7.41939e+00; p3[1] =-1.31031e+00; p3[2] = 9.44093e-01; p3[3]= 0.; p3[4]= 0.; |
| 171 | ep3[0]= 1.29862e-01; ep3[1]= 1.37370e-02; ep3[2]= 4.74995e-03; ep3[3]= 0.; ep3[4]= 0.; |
| 172 | |
| 173 | fExpPionMean=p1[0]/(x*x)*TMath::Log(x)+p1[1]; |
| 174 | fExpPionMeanRange=TMath::Sqrt(TMath::Power(1/(x*x)*TMath::Log(x),2.)*ep1[0]*ep1[0]+ep1[1]*ep1[1] ); |
| 175 | fExpKaonMean=p2[0]*TMath::Landau(x,p2[1],p2[2],kFALSE); |
| 176 | fExpKaonMeanRange=TMath::Sqrt(ep2[0]*ep2[0]+(x*x)*ep2[1]*ep2[1]+(x*x*x*x)*ep2[2]*ep2[2]); |
| 177 | fExpProtonMean=-9999.; |
| 178 | fExpProtonMeanRange=0.; |
| 179 | if(x>0.2){ |
| 180 | fExpProtonMean=p3[0]*TMath::Exp(-0.5*TMath::Power((x-p3[1])/p3[2],2.)) ; |
| 181 | fExpProtonMeanRange=TMath::Sqrt(ep3[0]*ep3[0]+(x*x)*ep3[1]*ep3[1]+(x*x*x*x)*ep3[2]*ep3[2]); |
| 182 | } |
| 183 | |
| 184 | }else if(code==321){ |
| 185 | |
| 186 | p1[0] = 8.35645e-01; p1[1] = 3.61638e+00; p1[2] =-2.51068e-01; p1[3]= 0.; p1[4]= 0.; |
| 187 | ep1[0]= 6.63101e-04; ep1[1]= 2.33140e-02; ep1[2]= 1.93276e-03; ep1[3]= 0.; ep1[4]= 0.; |
| 188 | |
| 189 | p2[0] = -4.75573e-02; p2[1] = -7.05764e-03; p2[2] = 7.96719e+00; p2[3]= -7.48333e-02; p2[4]= 0.; |
| 190 | ep2[0]= 1.70759e-02; ep2[1]= 2.95064e-04; ep2[2]= 2.70493e+00; ep2[3]= 1.14466e-02; ep2[4]= 0.; |
| 191 | |
| 192 | p3[0] = 4.20188e+00; p3[1] = 3.95855e-01; p3[2] = 2.01159e-01; p3[3]= 0.; p3[4]= 0.; |
| 193 | ep3[0]= 2.18608e-02; ep3[1]= 4.15293e-03; ep3[2]= 8.91846e-03; ep3[3]= 0.; ep3[4]= 0.; |
| 194 | |
| 195 | fExpPionMean= p1[0]*TMath::Log(x)*TMath::Exp(-x*x*p1[1])+p1[2]; |
| 196 | fExpPionMeanRange=TMath::Sqrt(ep1[0]*ep1[0]+(x*x)*ep1[1]*ep1[1]+(x*x*x*x)*ep1[2]*ep1[2]); |
| 197 | fExpKaonMean = p2[0]*TMath::Log(x)+p2[1]*TMath::Exp(-x*x*p2[2])/(x*x)+p2[3]; |
| 198 | fExpKaonMeanRange=TMath::Sqrt(ep2[0]*ep2[0]+(x*x)*ep2[1]*ep2[1]+(x*x*x*x)*ep2[2]*ep2[2]); |
| 199 | fExpProtonMean = p3[0]*TMath::Landau(x, p3[1], p3[2],kFALSE); |
| 200 | fExpProtonMeanRange=TMath::Sqrt(ep3[0]*ep3[0]+(x*x)*ep3[1]*ep3[1]+(x*x*x*x)*ep3[2]*ep3[2]); |
| 201 | |
| 202 | }else if(code==2212){ |
| 203 | |
| 204 | p1[0] =1.48277e+00; p1[1] =1.14050e+00; p1[2] =1.01751e+02; p1[3]= -2.52768e-01; p1[4]= 0.; |
| 205 | ep1[0]= 1.85491e-03; ep1[1]= 4.23200e-02; ep1[2]= 2.66855e+00; ep1[3]= 1.82240e-03; ep1[4]= 0.; |
| 206 | |
| 207 | p2[0]= 3.80541e-01 ; p2[1]=-3.79158e-02; p2[2]=-4.81653e-01; p2[3]= 0.; p2[4]= 0.; |
| 208 | ep2[0]= 1.43643e-01; ep2[1]= 2.47156e-02; ep2[2]= 1.06836e-01; ep2[3]= 0.; ep2[4]= 0.; |
| 209 | |
| 210 | p3[0] = 1.81168e-01; p3[1] = -6.69364e-01; p3[2] = 2.10685e+01; p3[3]= 5.14868e-02; p3[4]= 0.; |
| 211 | ep3[0]= 4.61718e-02; ep3[1]= 8.21949e-02; ep3[2]= 4.46134e+00; ep3[3]= 2.69751e-02; ep3[4]= 0.; |
| 212 | |
| 213 | fExpPionMean= p1[0]*TMath::Log(x)+p1[1]*TMath::Exp(-x*x*p1[2])+p1[3]; |
| 214 | fExpPionMeanRange=TMath::Sqrt(ep1[0]*ep1[0]+(x*x)*ep1[1]*ep1[1]+(x*x*x*x)*ep1[2]*ep1[2]); |
| 215 | fExpKaonMean = p2[0]*TMath::Log(x)+p2[1]/(x)+p2[2]; |
| 216 | fExpKaonMeanRange=TMath::Sqrt(ep2[0]*ep2[0]+(x*x)*ep2[1]*ep2[1]+(x*x*x*x)*ep2[2]*ep2[2]+(x*x*x*x*x*x)*ep2[3]*ep2[3]+(x*x*x*x*x*x*x*x)*ep2[4]*ep2[4]); |
| 217 | fExpProtonMean= p3[0]*TMath::Log(x)+p3[1]*TMath::Exp(-x*x*p3[2])+p3[3]; |
| 218 | fExpProtonMeanRange=TMath::Sqrt(ep3[0]*ep3[0]+(x*x)*ep3[1]*ep3[1]+(x*x*x*x)*ep3[2]*ep3[2]+(x*x*x*x*x*x)*ep3[3]*ep3[3]+(x*x*x*x*x*x*x*x)*ep3[4]*ep3[4]); |
| 219 | }else{ |
| 220 | printf("ERROR: Wrong particle code %d\n",code); |
| 221 | return -1; |
| 222 | } |
| 223 | }else{ // MC parameters |
| 224 | if(code==211){ |
| 225 | |
| 226 | p1[0]= -3.28744e-04; p1[1]= -1.78123e-02; p1[2]= 0.; p1[3]= 0.; p1[4]= 0.; |
| 227 | ep1[0]= 2.03102e-06; ep1[1]= 7.65859e-05; ep1[2]= 0.; ep1[3]= 0.; ep1[4]= 0.; |
| 228 | |
| 229 | p2[0] = 8.84991e+00 ; p2[1] = 1.32096e-01 ; p2[2] = 9.42394e-02 ; p2[3]=0.; p2[4]=0.; |
| 230 | ep2[0]= 4.78123e-02; ep2[1]= 1.99037e-03; ep2[2]= 2.85136e-04; ep2[3]= 0.; ep2[4]= 0.; |
| 231 | |
| 232 | p3[0] = 6.25025e+00; p3[1] = -1.08315e+00; p3[2] = 8.86474e-01; p3[3]= 0.; p3[4]= 0.; |
| 233 | ep3[0]= 1.42379e+00; ep3[1]= 2.34807e-01; ep3[2]= 6.78015e-02; ep3[3]= 0.; ep3[4]= 0.; |
| 234 | |
| 235 | fExpPionMean= p1[0]/(x*x)*TMath::Log(x)+p1[1]; |
| 236 | fExpPionMeanRange=TMath::Sqrt(TMath::Power(1/(x*x)*TMath::Log(x),2.)*ep1[0]*ep1[0]+ep1[1]*ep1[1] ); |
| 237 | fExpKaonMean = p2[0]*TMath::Landau(x,p2[1],p2[2],kFALSE); |
| 238 | fExpKaonMeanRange=TMath::Sqrt(ep2[0]*ep2[0]+(x*x)*ep2[1]*ep2[1]+(x*x*x*x)*ep2[2]*ep2[2]); |
| 239 | fExpProtonMean=-9999.; |
| 240 | fExpProtonMeanRange=0.; |
| 241 | if(x>0.2){ |
| 242 | fExpProtonMean = p3[0]*TMath::Exp(-0.5*TMath::Power((x-p3[1])/p3[2],2.)); |
| 243 | fExpProtonMeanRange = TMath::Sqrt(ep3[0]*ep3[0]+(x*x)*ep3[1]*ep3[1]+(x*x*x*x)*ep3[2]*ep3[2]); |
| 244 | } |
| 245 | |
| 246 | }else if(code==321){ |
| 247 | |
| 248 | p1[0] = 9.19679e-01; p1[1] = 5.07077e-03; p1[2] = 5.48262e-05; p1[3]= 8.65674e-02; p1[4]= 0.; |
| 249 | ep1[0]= 4.03325e-04; ep1[1]= 8.85421e-06; ep1[2]= 1.77437e+00; ep1[3]= 9.00492e-03; ep1[4]= 0.; |
| 250 | |
| 251 | p2[0] = -2.05127e-01; p2[1] = -2.05303e-03; p2[2] = 3.10090e-06; p2[3]= -2.19936e-01; p2[4]= 0.; |
| 252 | ep2[0]= 3.41607e-03; ep2[1]= 1.03661e-04; ep2[2]= 9.50776e-01; ep2[3]= 3.41148e-03; ep2[4]= 0.; |
| 253 | |
| 254 | p3[0] = 4.68022e+00; p3[1] = 3.02178e-01; p3[2] = 2.47185e-01; p3[3]= 0.; p3[4]= 0.; |
| 255 | ep3[0]= 1.63926e-02; ep3[1]= 6.42072e-03; ep3[2]= 7.24079e-03; ep3[3]= 0.; ep3[4]= 0.; |
| 256 | |
| 257 | fExpPionMean=p1[0]*TMath::Log(x)+p1[1]*TMath::Exp(-x*x*p1[2])/(x*x)+p1[3]; |
| 258 | fExpPionMeanRange=TMath::Sqrt(ep1[0]*ep1[0]+(x*x)*ep1[1]*ep1[1]+(x*x*x*x)*ep1[2]*ep1[2]); |
| 259 | fExpKaonMean=p2[0]*TMath::Log(x)+p2[1]*TMath::Exp(-x*x*p2[2])/(x*x+p2[3]); |
| 260 | fExpKaonMeanRange=TMath::Sqrt(ep2[0]*ep2[0]+(x*x)*ep2[1]*ep2[1]+(x*x*x*x)*ep2[2]*ep2[2]); |
| 261 | fExpProtonMean= p3[0]*TMath::Landau(x, p3[1], p3[2]); |
| 262 | fExpProtonMeanRange=TMath::Sqrt(ep3[0]*ep3[0]+(x*x)*ep3[1]*ep3[1]+(x*x*x*x)*ep3[2]*ep3[2]); |
| 263 | |
| 264 | }else if(code==2212){ |
| 265 | |
| 266 | p1[0] = 1.05826e+00; p1[1]=8.59088e-01; p1[2]=9.39446e+01; p1[3]= -4.86736e-01; p1[4]= 0.; |
| 267 | ep1[0]= 1.07813e-03; ep1[1]= 1.15536e-02; ep1[2]= 9.74843e-01; ep1[3]= 1.24205e-03; ep1[4]= 0.; |
| 268 | |
| 269 | p2[0]=4.91075e-01; p2[1]=6.27855e-01; p2[2] = 1.09965e+01; p2[3] =-4.24656e-01; p2[4] = 0.; |
| 270 | ep2[0]=3.00310e-02; ep2[1]= 4.42650e-02; ep2[2]= 3.40324e-01; ep2[3]= 2.46448e-02; ep2[4]= 0. ; |
| 271 | |
| 272 | p3[0] = 6.75789e-01; p3[1] = 1.23129e+00; p3[2] = 3.46294e+00; p3[3]= -2.48336e-02; p3[4]= 0.; |
| 273 | ep3[0]= 2.90342e-02; ep3[1]= 4.34524e-02; ep3[2]= 7.18743e-02; ep3[3]= 1.08694e-02; ep3[4]= 0.; |
| 274 | |
| 275 | fExpPionMean= p1[0]*TMath::Log(x)+p1[1]*TMath::Exp(-x*x*p1[2])+p1[3]; |
| 276 | fExpPionMeanRange=TMath::Sqrt(ep1[0]*ep1[0]+(x*x)*ep1[1]*ep1[1]+(x*x*x*x)*ep1[2]*ep1[2]); |
| 277 | fExpKaonMean = p2[0]*TMath::Log(x)+p2[1]*TMath::Exp(-x*x*p2[2])+p2[3]; |
| 278 | fExpKaonMeanRange=TMath::Sqrt(ep2[0]*ep2[0]+(x*x)*ep2[1]*ep2[1]+(x*x*x*x)*ep2[2]*ep2[2]+(x*x*x*x*x*x)*ep2[3]*ep2[3]+(x*x*x*x*x*x*x*x)*ep2[4]*ep2[4]); |
| 279 | fExpProtonMean= p3[0]*TMath::Log(x)+p3[1]*TMath::Exp(-x*x*p3[2])+p3[3]; |
| 280 | fExpProtonMeanRange=TMath::Sqrt(ep3[0]*ep3[0]+(x*x)*ep3[1]*ep3[1]+(x*x*x*x)*ep3[2]*ep3[2]+(x*x*x*x*x*x)*ep3[3]*ep3[3]+(x*x*x*x*x*x*x*x)*ep3[4]*ep3[4]); |
| 281 | }else{ |
| 282 | printf("ERROR: Wrong particle code %d\n",code); |
| 283 | return -1; |
| 284 | } |
| 285 | } |
| 286 | return 0; |
| 287 | } |
| 288 | |
| 289 | //_______________________________________________________ |
| 290 | Int_t AliITSsadEdxFitter::InitializeMeanPosBB(Int_t code, Float_t pt){ |
| 291 | // computes peak positions from parametrized BB |
| 292 | |
| 293 | Double_t massp=AliPID::ParticleMass(AliPID::kProton); |
| 294 | Double_t massk=AliPID::ParticleMass(AliPID::kKaon); |
| 295 | Double_t masspi=AliPID::ParticleMass(AliPID::kPion); |
| 296 | Bool_t isSA=kTRUE; |
| 297 | Float_t sinthmed=0.8878; |
| 298 | Float_t p=pt/sinthmed; |
| 299 | Double_t bethep=fITSpid->Bethe(p,massp,isSA); |
| 300 | Double_t bethek=fITSpid->Bethe(p,massk,isSA); |
| 301 | Double_t bethepi=fITSpid->Bethe(p,masspi,isSA); |
| 302 | Double_t betheref=bethepi; |
| 303 | if(TMath::Abs(code)==321) betheref=bethek; |
| 304 | else if(TMath::Abs(code)==2212) betheref=bethep; |
| 305 | fExpPionMean=TMath::Log(bethepi)-TMath::Log(betheref); |
| 306 | fExpKaonMean=TMath::Log(bethek)-TMath::Log(betheref); |
| 307 | fExpProtonMean=TMath::Log(bethep)-TMath::Log(betheref); |
| 308 | return 0; |
| 309 | } |
| 310 | //________________________________________________________ |
| 311 | Bool_t AliITSsadEdxFitter::IsGoodBin(Int_t bin,Int_t code){ |
| 312 | //method to select the bins used for the analysis only |
| 313 | Bool_t retvalue=kTRUE; |
| 314 | TLine *l[2]; //for the cross |
| 315 | l[0]=new TLine(-2.1,0,2.,100.); |
| 316 | l[1]=new TLine(-1.9,120,2.,0.); |
| 317 | for(Int_t j=0;j<2;j++){ |
| 318 | l[j]->SetLineColor(4); |
| 319 | l[j]->SetLineWidth(5); |
| 320 | } |
| 321 | |
| 322 | if(code==211 && (bin<fBinsUsedPion[0] || bin>fBinsUsedPion[1])){ |
| 323 | for(Int_t j=0;j<2;j++) l[j]->Draw("same"); |
| 324 | retvalue=kFALSE; |
| 325 | } |
| 326 | if(code==321 && (bin<fBinsUsedKaon[0] || bin>fBinsUsedKaon[1])){ |
| 327 | for(Int_t j=0;j<2;j++) l[j]->Draw("same"); |
| 328 | retvalue=kFALSE; |
| 329 | } |
| 330 | if(code==2212 && (bin<fBinsUsedProton[0] || bin>fBinsUsedProton[1])){ |
| 331 | for(Int_t j=0;j<2;j++) l[j]->Draw("same"); |
| 332 | retvalue=kFALSE; |
| 333 | } |
| 334 | return retvalue; |
| 335 | } |
| 336 | |
| 337 | //________________________________________________________ |
| 338 | Double_t SingleGausTail(const Double_t *x, const Double_t *par){ |
| 339 | //single gaussian with exponential tail |
| 340 | Double_t s2pi=TMath::Sqrt(2*TMath::Pi()); |
| 341 | Double_t xx = x[0]; |
| 342 | Double_t mean1 = par[1]; |
| 343 | Double_t sigma1 = par[2]; |
| 344 | Double_t xNormSquare1 = (xx - mean1) * (xx - mean1); |
| 345 | Double_t sigmaSquare1 = sigma1 * sigma1; |
| 346 | Double_t xdiv1 = mean1 + par[3] * sigma1; |
| 347 | Double_t y1=0.0; |
| 348 | if(xx < xdiv1) y1 = par[0]/(s2pi*par[2]) * TMath::Exp(-0.5 * xNormSquare1 / sigmaSquare1); |
| 349 | else y1 = TMath::Exp(-par[4]*(xx-xdiv1)) * par[0] / (s2pi*par[2]) * TMath::Exp(-0.5*(par[3]*par[3])); |
| 350 | return y1; |
| 351 | } |
| 352 | |
| 353 | //________________________________________________________ |
| 354 | Double_t DoubleGausTail(const Double_t *x, const Double_t *par){ |
| 355 | //sum of two gaussians with exponential tail |
| 356 | Double_t s2pi=TMath::Sqrt(2*TMath::Pi()); |
| 357 | Double_t xx = x[0]; |
| 358 | Double_t mean1 = par[1]; |
| 359 | Double_t sigma1 = par[2]; |
| 360 | Double_t xNormSquare1 = (xx - mean1) * (xx - mean1); |
| 361 | Double_t sigmaSquare1 = sigma1 * sigma1; |
| 362 | Double_t xdiv1 = mean1 + par[3] * sigma1; |
| 363 | Double_t y1=0.0; |
| 364 | if(xx < xdiv1) y1 = par[0]/(s2pi*par[2]) * TMath::Exp(-0.5 * xNormSquare1 / sigmaSquare1); |
| 365 | else y1 = TMath::Exp(-par[4]*(xx-xdiv1)) * par[0] / (s2pi*par[2]) * TMath::Exp(-0.5*(par[3]*par[3])); |
| 366 | |
| 367 | Double_t mean2 = par[6]; |
| 368 | Double_t sigma2 = par[7]; |
| 369 | Double_t xNormSquare2 = (xx - mean2) * (xx - mean2); |
| 370 | Double_t sigmaSquare2 = sigma2 * sigma2; |
| 371 | Double_t xdiv2 = mean2 + par[8] * sigma2; |
| 372 | Double_t y2=0.0; |
| 373 | if(xx < xdiv2) y2 = par[5]/(s2pi*par[7]) * TMath::Exp(-0.5 * xNormSquare2 / sigmaSquare2); |
| 374 | else y2 = TMath::Exp(-par[9]*(xx-xdiv2)) * par[5] / (s2pi*par[7]) * TMath::Exp(-0.5*(par[8]*par[8])); |
| 375 | return y1+y2; |
| 376 | } |
| 377 | |
| 378 | //________________________________________________________ |
| 379 | Double_t FinalGausTail(const Double_t *x, const Double_t *par){ |
| 380 | //sum of three gaussians with exponential tail |
| 381 | Double_t s2pi=TMath::Sqrt(2*TMath::Pi()); |
| 382 | Double_t xx = x[0]; |
| 383 | Double_t mean1 = par[1]; |
| 384 | Double_t sigma1 = par[2]; |
| 385 | Double_t xNormSquare1 = (xx - mean1) * (xx - mean1); |
| 386 | Double_t sigmaSquare1 = sigma1 * sigma1; |
| 387 | Double_t xdiv1 = mean1 + par[3] * sigma1; |
| 388 | Double_t y1=0.0; |
| 389 | if(xx < xdiv1) y1 = par[0]/(s2pi*par[2]) * TMath::Exp(-0.5 * xNormSquare1 / sigmaSquare1); |
| 390 | else y1 = TMath::Exp(-par[4]*(xx-xdiv1)) * par[0] / (s2pi*par[2]) * TMath::Exp(-0.5*(par[3]*par[3])); |
| 391 | |
| 392 | Double_t mean2 = par[6]; |
| 393 | Double_t sigma2 = par[7]; |
| 394 | Double_t xNormSquare2 = (xx - mean2) * (xx - mean2); |
| 395 | Double_t sigmaSquare2 = sigma2 * sigma2; |
| 396 | Double_t xdiv2 = mean2 + par[8] * sigma2; |
| 397 | Double_t y2=0.0; |
| 398 | if(xx < xdiv2) y2 = par[5]/(s2pi*par[7]) * TMath::Exp(-0.5 * xNormSquare2 / sigmaSquare2); |
| 399 | else y2 = TMath::Exp(-par[9]*(xx-xdiv2)) * par[5] / (s2pi*par[7]) * TMath::Exp(-0.5*(par[8]*par[8])); |
| 400 | |
| 401 | Double_t mean3 = par[11]; |
| 402 | Double_t sigma3 = par[12]; |
| 403 | Double_t xNormSquare3 = (xx - mean3) * (xx - mean3); |
| 404 | Double_t sigmaSquare3 = sigma3 * sigma3; |
| 405 | Double_t xdiv3 = mean3 + par[13] * sigma3; |
| 406 | Double_t y3=0.0; |
| 407 | if(xx < xdiv3) y3 = par[10]/(s2pi*par[12]) * TMath::Exp(-0.5 * xNormSquare3 / sigmaSquare3); |
| 408 | else y3 = TMath::Exp(-par[14]*(xx-xdiv3)) * par[10] / (s2pi*par[12]) * TMath::Exp(-0.5*(par[13]*par[13])); |
| 409 | return y1+y2+y3; |
| 410 | } |
| 411 | |
| 412 | //______________________________________________________________________ |
| 413 | void AliITSsadEdxFitter::CalcResidual(TH1F *h,TF1 *fun,TGraph *gres) const{ |
| 414 | //code to calculate the difference fit function and histogram point (residual) |
| 415 | //to use as goodness test for the fit |
| 416 | Int_t ipt=0; |
| 417 | Double_t x=0.,yhis=0.,yfun=0.; |
| 418 | for(Int_t i=0;i<h->GetNbinsX();i++){ |
| 419 | x=(h->GetBinLowEdge(i+2)+h->GetBinLowEdge(i+1))/2; |
| 420 | yfun=fun->Eval(x); |
| 421 | yhis=h->GetBinContent(i+1); |
| 422 | if(yhis>0. && yfun>0.) { |
| 423 | gres->SetPoint(ipt,x,(yhis-yfun)/yhis); |
| 424 | ipt++; |
| 425 | } |
| 426 | } |
| 427 | return; |
| 428 | } |
| 429 | |
| 430 | |
| 431 | //________________________________________________________ |
| 432 | Double_t SingleGausStep(const Double_t *x, const Double_t *par){ |
| 433 | //single normalized gaussian |
| 434 | Double_t s2pi=TMath::Sqrt(2*TMath::Pi()); |
| 435 | Double_t xx = x[0]; |
| 436 | Double_t mean1 = par[1]; |
| 437 | Double_t sigma1 = par[2]; |
| 438 | Double_t xNorm1Square = (xx - mean1) * (xx - mean1); |
| 439 | Double_t sigma1Square = sigma1 * sigma1; |
| 440 | Double_t step1 = par[0]/(s2pi*par[2]) * TMath::Exp(-0.5 * xNorm1Square / sigma1Square); |
| 441 | return step1; |
| 442 | } |
| 443 | |
| 444 | //________________________________________________________ |
| 445 | Double_t DoubleGausStep(const Double_t *x, const Double_t *par){ |
| 446 | //sum of two normalized gaussians |
| 447 | Double_t s2pi=TMath::Sqrt(2*TMath::Pi()); |
| 448 | Double_t xx = x[0]; |
| 449 | Double_t mean1 = par[1]; |
| 450 | Double_t sigma1 = par[2]; |
| 451 | Double_t xNorm1Square = (xx - mean1) * (xx - mean1); |
| 452 | Double_t sigma1Square = sigma1 * sigma1; |
| 453 | Double_t step1 = par[0]/(s2pi*par[2]) * TMath::Exp( - 0.5 * xNorm1Square / sigma1Square ); |
| 454 | Double_t mean2 = par[4]; |
| 455 | Double_t sigma2 = par[5]; |
| 456 | Double_t xNorm2Square = (xx - mean2) * (xx - mean2); |
| 457 | Double_t sigma2Square = sigma2 * sigma2; |
| 458 | Double_t step2 = par[3]/(s2pi*par[5]) * TMath::Exp( - 0.5 * xNorm2Square / sigma2Square ); |
| 459 | return step1+step2; |
| 460 | } |
| 461 | |
| 462 | //________________________________________________________ |
| 463 | Double_t FinalGausStep(const Double_t *x, const Double_t *par){ |
| 464 | //sum of three normalized gaussians |
| 465 | Double_t s2pi=TMath::Sqrt(2*TMath::Pi()); |
| 466 | Double_t xx = x[0]; |
| 467 | Double_t mean1 = par[1]; |
| 468 | Double_t sigma1 = par[2]; |
| 469 | Double_t xNorm1Square = (xx - mean1) * (xx - mean1); |
| 470 | Double_t sigma1Square = sigma1 * sigma1; |
| 471 | Double_t step1 = par[0]/(s2pi*par[2]) * TMath::Exp( - 0.5 * xNorm1Square / sigma1Square ); |
| 472 | Double_t mean2 = par[4]; |
| 473 | Double_t sigma2 = par[5]; |
| 474 | Double_t xNorm2Square = (xx - mean2) * (xx - mean2); |
| 475 | Double_t sigma2Square = sigma2 * sigma2; |
| 476 | Double_t step2 = par[3]/(s2pi*par[5]) * TMath::Exp( - 0.5 * xNorm2Square / sigma2Square ); |
| 477 | Double_t mean3 = par[7]; |
| 478 | Double_t sigma3 = par[8]; |
| 479 | Double_t xNorm3Square = (xx - mean3) * (xx - mean3); |
| 480 | Double_t sigma3Square = sigma3 * sigma3; |
| 481 | Double_t step3 = par[6]/(s2pi*par[8]) * TMath::Exp( - 0.5 * xNorm3Square / sigma3Square); |
| 482 | return step1+step2+step3; |
| 483 | } |
| 484 | |
| 485 | //______________________________________________________________________ |
| 486 | Double_t AliITSsadEdxFitter::GausPlusTail(const Double_t x, const Double_t mean, Double_t rms, Double_t c, Double_t slope, Double_t cut ) const{ |
| 487 | //gaussian with an exponential tail on the right side |
| 488 | Double_t factor=1.0/(TMath::Sqrt(2.0*TMath::Pi())); |
| 489 | Double_t returnvalue=0.0; |
| 490 | Double_t n=0.5*(1.0+TMath::Erf(cut/TMath::Sqrt(2.0)))+TMath::Exp(-cut*cut*0.5)*factor/(TMath::Abs(rms)*slope); |
| 491 | if (x<mean+cut*rms) returnvalue=TMath::Exp(-1.0*(x-mean)*(x-mean)/(2.0*rms*rms))*factor/TMath::Abs(rms); |
| 492 | else returnvalue=TMath::Exp(slope*(mean+cut*rms-x))*TMath::Exp(-cut*cut*0.5)*factor/TMath::Abs(rms); |
| 493 | return c*returnvalue/n; |
| 494 | } |
| 495 | |
| 496 | |
| 497 | //______________________________________________________________________ |
| 498 | Double_t AliITSsadEdxFitter::GausOnBackground(const Double_t* x, const Double_t *par) const { |
| 499 | //gaussian with a background parametrisation |
| 500 | //cout<<par[0]<<" "<<par[1]<<" "<<par[2]<<" "<<par[3]<<" "<<par[4]<<" "<<par[5]<<" "<<x[0]<< endl; |
| 501 | Double_t returnvalue=0.0; |
| 502 | Double_t factor=1.0/(TMath::Sqrt(2.0*TMath::Pi())); |
| 503 | if(par[6]<0.0) returnvalue+=TMath::Exp(-1.0*(x[0]-par[0])*(x[0]-par[0])/(2.0*par[1]*par[1]))*par[2]* factor/TMath::Abs(par[1]); |
| 504 | else returnvalue+=GausPlusTail(x[0], par[0], par[1],par[2], par[6], 1.2); |
| 505 | returnvalue+=par[3]*TMath::Exp((par[5]-x[0])*par[4]); |
| 506 | return returnvalue; |
| 507 | } |
| 508 | |
| 509 | //______________________________________________________________________ |
| 510 | void AliITSsadEdxFitter::DrawFitFunction(TF1 *fun) const { |
| 511 | //code to draw the final fit function and the single gaussians used |
| 512 | //to extract the yields for the 3 species |
| 513 | TF1 *fdraw1=new TF1("fdraw1",SingleGausStep,-3.5,3.5,3); |
| 514 | TF1 *fdraw2=new TF1("fdraw2",SingleGausStep,-3.5,3.5,3); |
| 515 | TF1 *fdraw3=new TF1("fdraw3",SingleGausStep,-3.5,3.5,3); |
| 516 | fdraw1->SetParameter(0,fun->GetParameter(0)); |
| 517 | fdraw1->SetParameter(1,fun->GetParameter(1)); |
| 518 | fdraw1->SetParameter(2,fun->GetParameter(2)); |
| 519 | fdraw2->SetParameter(0,fun->GetParameter(3)); |
| 520 | fdraw2->SetParameter(1,fun->GetParameter(4)); |
| 521 | fdraw2->SetParameter(2,fun->GetParameter(5)); |
| 522 | fdraw3->SetParameter(0,fun->GetParameter(6)); |
| 523 | fdraw3->SetParameter(1,fun->GetParameter(7)); |
| 524 | fdraw3->SetParameter(2,fun->GetParameter(8)); |
| 525 | |
| 526 | fdraw1->SetLineColor(6);//color code |
| 527 | fdraw2->SetLineColor(2); |
| 528 | fdraw3->SetLineColor(4); |
| 529 | |
| 530 | fdraw1->SetLineStyle(2);//dot lines |
| 531 | fdraw2->SetLineStyle(2); |
| 532 | fdraw3->SetLineStyle(2); |
| 533 | |
| 534 | fun->SetLineWidth(3); |
| 535 | fdraw1->DrawCopy("same"); |
| 536 | fdraw2->DrawCopy("same"); |
| 537 | fdraw3->DrawCopy("same"); |
| 538 | fun->DrawCopy("same"); |
| 539 | |
| 540 | TLatex *ltx[3]; |
| 541 | for(Int_t j=0;j<3;j++){ |
| 542 | ltx[0]=new TLatex(0.13,0.25,"pions"); |
| 543 | ltx[1]=new TLatex(0.13,0.20,"kaons"); |
| 544 | ltx[2]=new TLatex(0.13,0.15,"protons"); |
| 545 | ltx[0]->SetTextColor(6); |
| 546 | ltx[1]->SetTextColor(2); |
| 547 | ltx[2]->SetTextColor(4); |
| 548 | ltx[j]->SetNDC(); |
| 549 | ltx[j]->Draw(); |
| 550 | } |
| 551 | return; |
| 552 | } |
| 553 | |
| 554 | //______________________________________________________________________ |
| 555 | void AliITSsadEdxFitter::Initialize(TH1F* h, Int_t code,Int_t bin){ |
| 556 | //code to get the expected values to use for fitting |
| 557 | |
| 558 | Double_t xbins[23]={0.08,0.10,0.12,0.14,0.16,0.18,0.20,0.25,0.30,0.35,0.40,0.45,0.50,0.55,0.60,0.65,0.70,0.75,0.80,0.85,0.90,0.95,1.0}; |
| 559 | Double_t pt=(xbins[bin+1]+xbins[bin])/2; |
| 560 | |
| 561 | //draw and label |
| 562 | h->SetTitle(Form("p_{t}=[%1.2f,%1.2f], code=%d",xbins[bin],xbins[bin+1],code)); |
| 563 | h->GetXaxis()->SetTitle("[ln dE/dx]_{meas} - [ln dE/dx(i)]_{calc}"); |
| 564 | h->GetYaxis()->SetTitle("counts"); |
| 565 | h->Draw("e"); |
| 566 | h->SetFillColor(11); |
| 567 | |
| 568 | //expected values |
| 569 | fExpPionAmpl = h->GetMaximum()/(h->GetRMS()*TMath::Sqrt(2*TMath::Pi())); |
| 570 | if(fOptInit==0) InitializeMeanPosBB(code, pt); |
| 571 | else if(fOptInit==1) InitializeMeanPosParam(code, pt); |
| 572 | fExpPionSigma = CalcSigma(211,pt); //expected sigma values |
| 573 | fExpKaonSigma = CalcSigma(321,pt); |
| 574 | fExpProtonSigma = CalcSigma(2212,pt); |
| 575 | |
| 576 | } |
| 577 | |
| 578 | |
| 579 | //________________________________________________________ |
| 580 | void AliITSsadEdxFitter::DoFit(TH1F *h, Int_t bin, Int_t signedcode, TGraph *gres){ |
| 581 | // 3-gaussian fit to log(dedx)-log(dedxBB) histogram |
| 582 | // pt bin from 0 to 20, code={211,321,2212} |
| 583 | // first step: all free, second step: pion gaussian fixed, third step: kaon gaussian fixed |
| 584 | // final step: refit all using the parameters and tollerance limits (+-20%) |
| 585 | |
| 586 | TF1 *fstep1, *fstep2, *fstep3, *fstepTot; |
| d36ecf07 |
587 | Int_t code=TMath::Abs(signedcode); |
| 588 | Initialize(h,code,bin); |
| 589 | PrintInitialValues(); |
| 590 | if(!IsGoodBin(bin,code)) return; |
| 591 | |
| 592 | printf("___________________________________________________________________ First Step: pions\n"); |
| 593 | fstep1 = new TF1("step1",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3); |
| 594 | fstep1->SetParameter(0,fExpPionAmpl); //initial ampl pion |
| 595 | fstep1->SetParameter(1,fExpPionMean); //initial mean pion |
| 596 | fstep1->SetParameter(2,fExpPionSigma); //initial sigma pion |
| 597 | fstep1->SetParLimits(0,0.,fExpPionAmpl*1.2); //limits ampl pion |
| 598 | fstep1->SetParLimits(1,fRangeStep4[0],fRangeStep4[1]); //limits mean pion (dummy) |
| 599 | fstep1->SetParLimits(2,fExpPionSigma*fLimitsOnSigmaPion[0],fExpPionSigma*fLimitsOnSigmaPion[1]); //limits sigma pion |
| 600 | |
| d7cc7766 |
601 | if(fExpPionSigma>0) h->Fit(fstep1,fFitOption.Data(),"",fExpPionMean+fRangeStep1[0],fExpPionMean+fRangeStep1[1]);//first fit |
| d36ecf07 |
602 | else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001); |
| 603 | |
| 604 | printf("___________________________________________________________________ Second Step: kaons\n"); |
| 605 | fstep2 = new TF1("fstep2",DoubleGausStep,fRangeStep4[0],fRangeStep4[1],6); |
| 606 | fstep2->FixParameter(0,fstep1->GetParameter(0)); //fixed ampl pion |
| 607 | fstep2->FixParameter(1,fstep1->GetParameter(1)); //fixed mean pion |
| 608 | fstep2->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma pion |
| 609 | fstep2->SetParameter(3,fstep1->GetParameter(0)/8.); //initial ampl kaon |
| 610 | fstep2->SetParameter(4,fExpKaonMean); //initial mean kaon |
| 611 | fstep2->SetParameter(3,fExpKaonSigma); //initial sigma kaon |
| 612 | fstep2->SetParLimits(3,0.,fstep1->GetParameter(0)); //limits ampl kaon |
| 613 | fstep2->SetParLimits(4,fstep1->GetParameter(1),fRangeStep4[1]); //limits mean kaon |
| 614 | fstep2->SetParLimits(5,fExpKaonSigma*fLimitsOnSigmaKaon[0],fExpKaonSigma*fLimitsOnSigmaKaon[1]); //limits sigma kaon |
| 615 | |
| d7cc7766 |
616 | if(fExpKaonSigma>0) h->Fit(fstep2,fFitOption.Data(),"",fExpKaonMean+fRangeStep2[0],fExpKaonMean+fRangeStep2[1]);//second fit |
| d36ecf07 |
617 | else for(Int_t npar=3;npar<6;npar++) fstep2->FixParameter(npar,0.00001); |
| 618 | |
| 619 | |
| 620 | printf("___________________________________________________________________ Third Step: protons\n"); |
| 621 | fstep3= new TF1("fstep3",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9); |
| 622 | fstep3->FixParameter(0,fstep1->GetParameter(0)); //fixed ampl pion |
| 623 | fstep3->FixParameter(1,fstep1->GetParameter(1)); //fixed mean pion |
| 624 | fstep3->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma pion |
| 625 | fstep3->FixParameter(3,fstep2->GetParameter(3)); //fixed ampl kaon |
| 626 | fstep3->FixParameter(4,fstep2->GetParameter(4)); //fixed mean kaon |
| 627 | fstep3->FixParameter(5,fstep2->GetParameter(5)); //fidex sigma kaon |
| 628 | fstep3->SetParameter(6,fstep2->GetParameter(0)/16.); //initial ampl proton |
| 629 | fstep3->SetParameter(7,fExpProtonMean); //initial mean proton |
| 630 | fstep3->SetParameter(8,fExpProtonSigma); //initial sigma proton |
| 631 | fstep3->SetParLimits(6,0.,fstep2->GetParameter(0)); //limits ampl proton |
| 632 | fstep3->SetParLimits(7,fstep2->GetParameter(4),fRangeStep4[1]); //limits mean proton |
| 633 | fstep3->SetParLimits(8,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton |
| 634 | |
| d7cc7766 |
635 | if(fExpProtonSigma>0) h->Fit(fstep3,fFitOption.Data(),"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//third fit |
| d36ecf07 |
636 | else for(Int_t npar=6;npar<9;npar++) fstep3->FixParameter(npar,0.00001); |
| 637 | |
| 638 | printf("___________________________________________________________________ Final Step: refit all\n"); |
| 639 | fstepTot = new TF1("funztot",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9); |
| 640 | fstepTot->SetLineColor(1); |
| 641 | |
| 642 | Double_t initialParametersStepTot[9]; |
| 643 | initialParametersStepTot[0] = fstep1->GetParameter(0);//first gaussian |
| 644 | initialParametersStepTot[1] = fstep1->GetParameter(1); |
| 645 | initialParametersStepTot[2] = fstep1->GetParameter(2); |
| 646 | |
| 647 | initialParametersStepTot[3] = fstep2->GetParameter(3);//second gaussian |
| 648 | initialParametersStepTot[4] = fstep2->GetParameter(4); |
| 649 | initialParametersStepTot[5] = fstep2->GetParameter(5); |
| 650 | |
| 651 | initialParametersStepTot[6] = fstep3->GetParameter(6);//third gaussian |
| 652 | initialParametersStepTot[7] = fstep3->GetParameter(7); |
| 653 | initialParametersStepTot[8] = fstep3->GetParameter(8); |
| 654 | |
| 655 | fstepTot->SetParameters(initialParametersStepTot); //initial parameters |
| 656 | fstepTot->SetParLimits(0,initialParametersStepTot[0]*0.9,initialParametersStepTot[0]*1.1); //tolerance limits ampl pion |
| 657 | fstepTot->FixParameter(1,initialParametersStepTot[1]); //fixed mean pion |
| 658 | fstepTot->FixParameter(2,initialParametersStepTot[2]); //fixed sigma pion |
| 659 | fstepTot->SetParLimits(3,initialParametersStepTot[3]*0.9,initialParametersStepTot[3]*1.1); //tolerance limits ampl kaon |
| 660 | fstepTot->FixParameter(4,initialParametersStepTot[4]); //fixed mean kaon |
| 661 | fstepTot->FixParameter(5,initialParametersStepTot[5]); //fixed sigma kaon |
| 662 | fstepTot->SetParLimits(6,initialParametersStepTot[6]*0.9,initialParametersStepTot[6]*1.1); //tolerance limits ampl proton |
| 663 | fstepTot->FixParameter(7,initialParametersStepTot[7]); //fixed mean proton |
| 664 | fstepTot->FixParameter(8,initialParametersStepTot[8]); //fixed sigma proton |
| 665 | |
| d7cc7766 |
666 | h->Fit(fstepTot,fFitOption.Data(),"",fRangeStep4[0],fRangeStep4[1]);//refit all |
| d36ecf07 |
667 | |
| 668 | for(Int_t j=0;j<9;j++) { |
| 669 | fFitPars[j] = fstepTot->GetParameter(j); |
| 670 | fFitParErrors[j] = fstepTot->GetParError(j); |
| 671 | } |
| 672 | |
| 673 | //************************************* storing parameter to calculate the yields ******* |
| 674 | |
| 675 | Int_t chpa=0; |
| 676 | if(code==321) chpa=3; |
| 677 | if(code==2212) chpa=6; |
| 678 | for(Int_t j=0;j<3;j++) { |
| 679 | fFitpar[j] = fstepTot->GetParameter(j+chpa); |
| 680 | fFitparErr[j] = fstepTot->GetParError(j+chpa); |
| 681 | } |
| 682 | |
| 683 | DrawFitFunction(fstepTot); |
| 684 | CalcResidual(h,fstepTot,gres); |
| 685 | return; |
| 686 | } |
| 687 | |
| 688 | //________________________________________________________ |
| 689 | void AliITSsadEdxFitter::DoFitProton(TH1F *h, Int_t bin, Int_t signedcode, TGraph *gres){ |
| 690 | // 3-gaussian fit to log(dedx)-log(dedxBB) histogram |
| 691 | // pt bin from 0 to 20, code={211,321,2212} |
| 692 | // first step: pion peak, second step: proton peak, third step: kaon peak |
| 693 | // final step: refit all using the parameters |
| 694 | TF1 *fstep1, *fstep2, *fstep3, *fstepTot; |
| d36ecf07 |
695 | Int_t code=TMath::Abs(signedcode); |
| 696 | Initialize(h,code,bin); |
| 697 | PrintInitialValues(); |
| 698 | if(!IsGoodBin(bin,code)) return; |
| 699 | |
| 700 | printf("___________________________________________________________________ First Step: pion\n"); |
| 701 | fstep1 = new TF1("step1",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3); |
| 702 | fstep1->SetParameter(0,fExpPionAmpl); //initial ampl pion |
| 703 | fstep1->SetParameter(1,fExpPionMean); //initial mean pion |
| 704 | fstep1->SetParameter(2,fExpPionSigma); //initial sigma pion |
| 705 | fstep1->SetParLimits(0,0,fExpPionAmpl*1.2); //limits ampl pion |
| 706 | fstep1->SetParLimits(1,fRangeStep4[0],fRangeStep4[1]); //limits mean pion (dummy) |
| 707 | fstep1->SetParLimits(2,fExpPionSigma*fLimitsOnSigmaPion[0],fExpPionSigma*fLimitsOnSigmaPion[1]); //limits sigma pion |
| 708 | |
| d7cc7766 |
709 | if(fExpPionSigma>0) h->Fit(fstep1,fFitOption.Data(),"",fExpPionMean+fRangeStep1[0],fExpPionMean+fRangeStep1[1]);//first fit |
| d36ecf07 |
710 | else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001); |
| 711 | |
| 712 | printf("___________________________________________________________________ Second Step: proton\n"); |
| 713 | fstep2 = new TF1("step2",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3); |
| 714 | fstep2->SetParameter(0,fstep1->GetParameter(0)/16.);//initial ampl proton |
| 715 | fstep2->SetParameter(1,fExpProtonMean); //initial mean proton |
| 716 | fstep2->SetParameter(2,fExpProtonSigma); //initial sigma proton |
| 717 | fstep2->SetParLimits(0,0.,fstep1->GetParameter(0)); //limits ampl proton |
| 718 | fstep2->SetParLimits(1,fstep1->GetParameter(1),fRangeStep4[1]); //limits mean proton |
| 719 | fstep2->SetParLimits(2,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton |
| 720 | |
| d7cc7766 |
721 | if(fExpProtonSigma>0) h->Fit(fstep2,fFitOption.Data(),"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//second fit |
| d36ecf07 |
722 | else for(Int_t npar=0;npar<3;npar++) fstep2->FixParameter(npar,0.00001); |
| 723 | |
| 724 | printf("___________________________________________________________________ Third Step: kaon\n"); |
| 725 | fstep3= new TF1("fstep3",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9); |
| 726 | fstep3->FixParameter(0,fstep1->GetParameter(0)); //fixed ampl pion |
| 727 | fstep3->FixParameter(1,fstep1->GetParameter(1)); //fixed mean pion |
| 728 | fstep3->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma pion |
| 729 | fstep3->FixParameter(6,fstep2->GetParameter(0)); //fixed ampl proton |
| 730 | fstep3->FixParameter(7,fstep2->GetParameter(1)); //fixed mean proton |
| 731 | fstep3->FixParameter(8,fstep2->GetParameter(2)); //fixed sigma proton |
| 732 | fstep3->SetParameter(3,fstep1->GetParameter(0)/8.); //initial ampl kaon |
| 733 | fstep3->SetParameter(4,fExpKaonMean); //initial mean kaon |
| 734 | fstep3->SetParameter(5,fExpKaonSigma); //initial sigma kaon |
| 735 | fstep3->SetParLimits(3,fstep2->GetParameter(0),fstep1->GetParameter(0)); //limits ampl kaon |
| 736 | fstep3->SetParLimits(4,fstep1->GetParameter(1),fstep2->GetParameter(1)); //limits mean kaon |
| 737 | fstep3->SetParLimits(5,fExpKaonSigma*fLimitsOnSigmaKaon[0],fExpKaonSigma*fLimitsOnSigmaKaon[1]); //limits sigma kaon |
| d7cc7766 |
738 | if(fExpKaonSigma>0) h->Fit(fstep3,fFitOption.Data(),"",fExpKaonMean+fRangeStep2[0],fExpKaonMean+fRangeStep2[1]);//third fit |
| d36ecf07 |
739 | else for(Int_t npar=3;npar<6;npar++) fstep3->FixParameter(npar,0.00001); |
| 740 | |
| 741 | printf("___________________________________________________________________ Final Step: refit all\n"); |
| 742 | fstepTot = new TF1("funztot",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9); |
| 743 | fstepTot->SetLineColor(1); |
| 744 | |
| 745 | Double_t initialParametersStepTot[9]; |
| 746 | initialParametersStepTot[0] = fstep1->GetParameter(0);//first gaussian |
| 747 | initialParametersStepTot[1] = fstep1->GetParameter(1); |
| 748 | initialParametersStepTot[2] = fstep1->GetParameter(2); |
| 749 | |
| 750 | initialParametersStepTot[3] = fstep3->GetParameter(3);//second gaussian |
| 751 | initialParametersStepTot[4] = fstep3->GetParameter(4); |
| 752 | initialParametersStepTot[5] = fstep3->GetParameter(5); |
| 753 | |
| 754 | initialParametersStepTot[6] = fstep2->GetParameter(0);//third gaussian |
| 755 | initialParametersStepTot[7] = fstep2->GetParameter(1); |
| 756 | initialParametersStepTot[8] = fstep2->GetParameter(2); |
| 757 | |
| 758 | fstepTot->SetParameters(initialParametersStepTot); //initial parameters |
| 759 | fstepTot->SetParLimits(0,initialParametersStepTot[0]*0.9,initialParametersStepTot[0]*1.1); //tolerance limits ampl pion |
| 760 | fstepTot->FixParameter(1,initialParametersStepTot[1]); //fixed mean pion |
| 761 | fstepTot->FixParameter(2,initialParametersStepTot[2]); //fixed sigma pion |
| 762 | fstepTot->SetParLimits(3,initialParametersStepTot[3]*0.9,initialParametersStepTot[3]*1.1); //tolerance limits ampl kaon |
| 763 | fstepTot->FixParameter(4,initialParametersStepTot[4]); //fixed mean kaon |
| 764 | fstepTot->FixParameter(5,initialParametersStepTot[5]); //fixed sigma kaon |
| 765 | fstepTot->SetParLimits(6,initialParametersStepTot[6]*0.9,initialParametersStepTot[6]*1.1); //tolerance limits ampl proton |
| 766 | fstepTot->FixParameter(7,initialParametersStepTot[7]); //fixed mean proton |
| 767 | fstepTot->FixParameter(8,initialParametersStepTot[8]); //fixed sigma proton |
| 768 | |
| d7cc7766 |
769 | h->Fit(fstepTot,fFitOption.Data(),"",fRangeStep4[0],fRangeStep4[1]);//refit all |
| d36ecf07 |
770 | |
| 771 | for(Int_t j=0;j<9;j++) { |
| 772 | fFitPars[j] = fstepTot->GetParameter(j); |
| 773 | fFitParErrors[j] = fstepTot->GetParError(j); |
| 774 | } |
| 775 | //************************************* storing parameter to calculate the yields ******* |
| 776 | Int_t chpa=0; |
| 777 | if(code==321) chpa=3; |
| 778 | if(code==2212) chpa=6; |
| 779 | for(Int_t j=0;j<3;j++) { |
| 780 | fFitpar[j] = fstepTot->GetParameter(j+chpa); |
| 781 | fFitparErr[j] = fstepTot->GetParError(j+chpa); |
| 782 | } |
| 783 | |
| 784 | DrawFitFunction(fstepTot); |
| 785 | CalcResidual(h,fstepTot,gres); |
| 786 | return; |
| 787 | } |
| 788 | |
| 789 | //________________________________________________________ |
| 790 | void AliITSsadEdxFitter::DoFitProtonFirst(TH1F *h, Int_t bin, Int_t signedcode, TGraph *gres){ |
| 791 | // 3-gaussian fit to log(dedx)-log(dedxBB) histogram |
| 792 | // pt bin from 0 to 20, code={211,321,2212} |
| 793 | // first step: proton peak, second step: pion peak, third step: kaon peak |
| 794 | // final step: refit all using the parameters |
| 795 | TF1 *fstep1, *fstep2, *fstep3, *fstepTot; |
| d36ecf07 |
796 | Int_t code=TMath::Abs(signedcode); |
| 797 | Initialize(h,code,bin); |
| 798 | PrintInitialValues(); |
| 799 | if(!IsGoodBin(bin,code)) return; |
| 800 | |
| 801 | printf("___________________________________________________________________ First Step: proton\n"); |
| 802 | fstep1 = new TF1("step1",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3); |
| 803 | fstep1->SetParameter(0,fExpPionAmpl/16.); //initial ampl proton` |
| 804 | fstep1->SetParameter(1,fExpProtonMean); //initial mean proton |
| 805 | fstep1->SetParameter(2,fExpProtonSigma); //initial sigma proton |
| 806 | fstep1->SetParLimits(0,0,fExpPionAmpl); //limits ampl proton |
| 807 | fstep1->SetParLimits(1,fExpPionMean,fRangeStep4[1]); //limits mean proton (dummy) |
| 808 | fstep1->SetParLimits(2,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton |
| 809 | |
| d7cc7766 |
810 | if(fExpProtonSigma>0) h->Fit(fstep1,fFitOption.Data(),"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//first fit |
| d36ecf07 |
811 | else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001); |
| 812 | |
| 813 | printf("___________________________________________________________________ Second Step: pion\n"); |
| 814 | fstep2 = new TF1("step2",DoubleGausStep,fRangeStep4[0],fRangeStep4[1],6); |
| 815 | fstep2->FixParameter(0,fstep1->GetParameter(0)); //fixed ampl proton |
| 816 | fstep2->FixParameter(1,fstep1->GetParameter(1)); //fixed mean proton |
| 817 | fstep2->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma proton |
| 818 | fstep2->SetParameter(3,fExpPionAmpl); //initial ampl pion |
| 819 | fstep2->SetParameter(4,fExpPionMean); //initial mean pion |
| 820 | fstep2->SetParameter(5,fExpPionSigma); //initial sigma pion |
| 821 | fstep2->SetParLimits(3,0.,1.2*fExpPionAmpl); //limits ampl pion |
| 822 | fstep2->SetParLimits(4,fRangeStep4[0],fstep1->GetParameter(1)); //limits mean pion |
| 823 | fstep2->SetParLimits(5,fExpPionSigma*fLimitsOnSigmaPion[0],fExpPionSigma*fLimitsOnSigmaPion[1]); //limits sigma pion |
| 824 | |
| d7cc7766 |
825 | if(fExpPionSigma>0) h->Fit(fstep2,fFitOption.Data(),"",fExpPionMean+fRangeStep1[0],fExpPionMean+fRangeStep1[1]);//second fit |
| d36ecf07 |
826 | else for(Int_t npar=0;npar<3;npar++) fstep2->FixParameter(npar,0.00001); |
| 827 | |
| 828 | printf("___________________________________________________________________ Third Step: kaon\n"); |
| 829 | fstep3= new TF1("fstep3",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9); |
| 830 | fstep3->FixParameter(0,fstep1->GetParameter(0)); //fixed ampl proton |
| 831 | fstep3->FixParameter(1,fstep1->GetParameter(1)); //fixed mean proton |
| 832 | fstep3->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma proton |
| 833 | fstep3->FixParameter(3,fstep2->GetParameter(3)); //fixed ampl pion |
| 834 | fstep3->FixParameter(4,fstep2->GetParameter(4)); //fixed mean pion |
| 835 | fstep3->FixParameter(5,fstep2->GetParameter(5)); //fixed sigma pion |
| 836 | fstep3->SetParameter(6,fstep2->GetParameter(0)/8.); //initial ampl kaon |
| 837 | fstep3->SetParameter(7,fExpKaonMean); //initial mean kaon |
| 838 | fstep3->SetParameter(8,fExpKaonSigma); //initial sigma kaon |
| 839 | fstep3->SetParLimits(6,fstep1->GetParameter(0),fstep2->GetParameter(3)); //limits ampl kaon |
| 840 | fstep3->SetParLimits(7,fstep2->GetParameter(4),fstep1->GetParameter(1)); //limits mean kaon |
| 841 | fstep3->SetParLimits(8,fExpKaonSigma*fLimitsOnSigmaKaon[0],fExpKaonSigma*fLimitsOnSigmaKaon[1]); //limits sigma kaon |
| d7cc7766 |
842 | if(fExpKaonSigma>0) h->Fit(fstep3,fFitOption.Data(),"",fExpKaonMean+fRangeStep2[0],fExpKaonMean+fRangeStep2[1]);//third fit |
| d36ecf07 |
843 | else for(Int_t npar=3;npar<6;npar++) fstep3->FixParameter(npar,0.00001); |
| 844 | |
| 845 | printf("___________________________________________________________________ Final Step: refit all\n"); |
| 846 | fstepTot = new TF1("funztot",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9); |
| 847 | fstepTot->SetLineColor(1); |
| 848 | |
| 849 | Double_t initialParametersStepTot[9]; |
| 850 | initialParametersStepTot[0] = fstep1->GetParameter(0);//first gaussian |
| 851 | initialParametersStepTot[1] = fstep1->GetParameter(1); |
| 852 | initialParametersStepTot[2] = fstep1->GetParameter(2); |
| 853 | |
| 854 | initialParametersStepTot[3] = fstep3->GetParameter(6);//second gaussian |
| 855 | initialParametersStepTot[4] = fstep3->GetParameter(7); |
| 856 | initialParametersStepTot[5] = fstep3->GetParameter(8); |
| 857 | |
| 858 | initialParametersStepTot[6] = fstep2->GetParameter(3);//third gaussian |
| 859 | initialParametersStepTot[7] = fstep2->GetParameter(4); |
| 860 | initialParametersStepTot[8] = fstep2->GetParameter(5); |
| 861 | |
| 862 | fstepTot->SetParameters(initialParametersStepTot); //initial parameters |
| 863 | fstepTot->SetParLimits(0,initialParametersStepTot[0]*0.9,initialParametersStepTot[0]*1.1); //tolerance limits ampl proton |
| 864 | fstepTot->FixParameter(1,initialParametersStepTot[1]); //fixed mean pion |
| 865 | fstepTot->FixParameter(2,initialParametersStepTot[2]); //fixed sigma pion |
| 866 | fstepTot->SetParLimits(3,initialParametersStepTot[3]*0.9,initialParametersStepTot[3]*1.1); //tolerance limits ampl kaon |
| 867 | fstepTot->FixParameter(4,initialParametersStepTot[4]); //fixed mean kaon |
| 868 | fstepTot->FixParameter(5,initialParametersStepTot[5]); //fixed sigma kaon |
| 869 | fstepTot->SetParLimits(6,initialParametersStepTot[6]*0.9,initialParametersStepTot[6]*1.1); //tolerance limits ampl pion |
| 870 | fstepTot->FixParameter(7,initialParametersStepTot[7]); //fixed mean proton |
| 871 | fstepTot->FixParameter(8,initialParametersStepTot[8]); //fixed sigma proton |
| 872 | |
| d7cc7766 |
873 | h->Fit(fstepTot,fFitOption.Data(),"",fRangeStep4[0],fRangeStep4[1]);//refit all |
| d36ecf07 |
874 | |
| 875 | for(Int_t j=0;j<9;j++) { |
| 876 | fFitPars[j] = fstepTot->GetParameter(j); |
| 877 | fFitParErrors[j] = fstepTot->GetParError(j); |
| 878 | } |
| 879 | //************************************* storing parameter to calculate the yields ******* |
| 880 | Int_t chpa=0; |
| 881 | if(code==321) chpa=3; |
| 882 | if(code==211) chpa=6; |
| 883 | for(Int_t j=0;j<3;j++) { |
| 884 | fFitpar[j] = fstepTot->GetParameter(j+chpa); |
| 885 | fFitparErr[j] = fstepTot->GetParError(j+chpa); |
| 886 | } |
| 887 | |
| 888 | DrawFitFunction(fstepTot); |
| 889 | CalcResidual(h,fstepTot,gres); |
| 890 | return; |
| 891 | } |
| 892 | |
| 893 | |
| 894 | //________________________________________________________ |
| 895 | void AliITSsadEdxFitter::DoFitOnePeak(TH1F *h, Int_t bin, Int_t signedcode){ |
| 896 | // single-gaussian fit to log(dedx)-log(dedxBB) histogram |
| 897 | TF1 *fstep1; |
| d36ecf07 |
898 | Int_t code=TMath::Abs(signedcode); |
| 899 | Initialize(h,code,bin); |
| 900 | PrintInitialValues(); |
| 901 | if(!IsGoodBin(bin,code)) return; |
| 902 | |
| 903 | printf("___________________________________________________________________ Single Step\n"); |
| 904 | fstep1 = new TF1("step2",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3); |
| 905 | fstep1->SetParameter(0,fExpPionAmpl/16.); //initial ampl |
| 906 | fstep1->SetParameter(1,fExpProtonMean); //initial mean |
| 907 | fstep1->SetParameter(2,fExpProtonSigma); //initial sigma |
| 908 | fstep1->SetParLimits(0,0.,fExpPionAmpl); //limits ampl proton |
| 909 | fstep1->SetParLimits(1,fExpPionMean,fRangeStep4[1]); //limits mean proton |
| 910 | //fstep1->SetParLimits(2,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton |
| 911 | |
| d7cc7766 |
912 | if(fExpProtonSigma>0) h->Fit(fstep1,fFitOption.Data(),"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//fit |
| d36ecf07 |
913 | else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001); |
| 914 | |
| 915 | fstep1->SetLineColor(1); |
| 916 | fstep1->Draw("same"); |
| 917 | |
| 918 | fFitpar[0] = fstep1->GetParameter(0); |
| 919 | fFitparErr[0] = fstep1->GetParError(0); |
| 920 | return; |
| 921 | } |
| 922 | |
| 923 | //________________________________________________________ |
| 924 | void AliITSsadEdxFitter::DoFitTail(TH1F *h, Int_t bin, Int_t signedcode){ |
| 925 | // 3-gaussian fit to log(dedx)-log(dedxBB) histogram |
| 926 | // pt bin from 0 to 20, code={211,321,2212} |
| 927 | // first step: all free, second step: pion gaussian fixed, third step: kaon gaussian fixed |
| 928 | // final step: refit all using the parameters and tollerance limits (+-20%) |
| 929 | // WARNING: exponential tail added in the right of the Gaussian shape |
| 930 | Int_t code=TMath::Abs(signedcode); |
| 931 | if(!IsGoodBin(bin,code)) return; |
| 932 | |
| 933 | TF1 *fstep1, *fstep2, *fstep3, *fstepTot; |
| d36ecf07 |
934 | Initialize(h,code,bin); |
| 935 | PrintInitialValues(); |
| 936 | |
| 937 | printf("\n___________________________________________________________________\n First Step: pions\n\n"); |
| 938 | fstep1 = new TF1("step1",SingleGausTail,-3.5,3.5,5); |
| 939 | fstep1->SetParameter(0,fExpPionAmpl);//initial |
| 940 | fstep1->SetParameter(1,fExpPionMean); |
| 941 | fstep1->SetParameter(3,1.2); |
| 942 | fstep1->SetParameter(4,10.); |
| 943 | |
| 944 | fstep1->SetParLimits(0,0,fExpPionAmpl*1.2); |
| 945 | fstep1->SetParLimits(1,-3.5,3.5); |
| 946 | fstep1->SetParLimits(2,0.1,0.25); |
| 947 | fstep1->SetParLimits(4,5.,20.); |
| 948 | if(bin<8) fstep1->SetParLimits(4,13.,25.); |
| 949 | |
| d7cc7766 |
950 | h->Fit(fstep1,fFitOption.Data(),"",fExpPionMean-0.45,fExpPionMean+0.45);//first fit |
| d36ecf07 |
951 | |
| 952 | printf("\n___________________________________________________________________\n Second Step: kaons\n\n"); |
| 953 | fstep2 = new TF1("fstep2",DoubleGausTail,-3.5,3.5,10); |
| 954 | fstep2->FixParameter(0,fstep1->GetParameter(0));//fixed |
| 955 | fstep2->FixParameter(1,fstep1->GetParameter(1)); |
| 956 | fstep2->FixParameter(2,fstep1->GetParameter(2)); |
| 957 | fstep2->FixParameter(3,fstep1->GetParameter(3)); |
| 958 | fstep2->FixParameter(4,fstep1->GetParameter(4)); |
| 959 | |
| 960 | fstep2->SetParameter(5,fstep1->GetParameter(0)/8);//initial |
| 961 | //fstep2->SetParameter(6,CalcP(code,322,bin)); |
| 962 | fstep2->SetParameter(7,0.145); |
| 963 | fstep2->FixParameter(8,1.2); |
| 964 | fstep2->SetParameter(9,13.); |
| 965 | |
| 966 | fstep2->SetParLimits(5,fstep1->GetParameter(0)/100,fstep1->GetParameter(0));//limits |
| 967 | fstep2->SetParLimits(6,-3.5,3.5); |
| 968 | fstep2->SetParLimits(7,0.12,0.2); |
| 969 | fstep2->SetParLimits(9,9.,20.); |
| 970 | if(bin<9) fstep2->SetParLimits(9,13.,25.); |
| 971 | |
| d36ecf07 |
972 | if(bin<6 || bin>12) for(Int_t npar=5;npar<10;npar++) fstep2->FixParameter(npar,-0.0000000001); |
| 973 | |
| 974 | printf("\n____________________________________________________________________\n Third Step: protons \n\n"); |
| 975 | fstep3= new TF1("fstep3",FinalGausTail,-3.5,3.5,15); |
| 976 | fstep3->FixParameter(0,fstep1->GetParameter(0));//fixed |
| 977 | fstep3->FixParameter(1,fstep1->GetParameter(1)); |
| 978 | fstep3->FixParameter(2,fstep1->GetParameter(2)); |
| 979 | fstep3->FixParameter(3,fstep1->GetParameter(3)); |
| 980 | fstep3->FixParameter(4,fstep1->GetParameter(4)); |
| 981 | fstep3->FixParameter(5,fstep2->GetParameter(5)); |
| 982 | fstep3->FixParameter(6,fstep2->GetParameter(6)); |
| 983 | fstep3->FixParameter(7,fstep2->GetParameter(7)); |
| 984 | fstep3->FixParameter(8,fstep2->GetParameter(8)); |
| 985 | fstep3->FixParameter(9,fstep2->GetParameter(9)); |
| 986 | |
| 987 | fstep3->SetParameter(10,fstep2->GetParameter(0)/8);//initial |
| 988 | //fstep3->SetParameter(11,CalcP(code,2212,bin)); |
| 989 | fstep3->SetParameter(12,0.145); |
| 990 | fstep3->FixParameter(13,1.2); |
| 991 | fstep3->SetParameter(14,10.); |
| 992 | |
| 993 | fstep3->SetParLimits(10,fstep2->GetParameter(0)/100,fstep2->GetParameter(0));//limits |
| 994 | fstep3->SetParLimits(11,-3.5,3.5); |
| 995 | fstep3->SetParLimits(12,0.12,0.2); |
| 996 | fstep3->SetParLimits(14,11.,25.); |
| 997 | |
| 998 | printf("\n_____________________________________________________________________\n Final Step: refit all \n\n"); |
| 999 | fstepTot = new TF1("funztot",FinalGausTail,-3.5,3.5,15); |
| 1000 | fstepTot->SetLineColor(1); |
| 1001 | |
| 1002 | Double_t initialParametersStepTot[15]; |
| 1003 | initialParametersStepTot[0] = fstep1->GetParameter(0);//first gaussian |
| 1004 | initialParametersStepTot[1] = fstep1->GetParameter(1); |
| 1005 | initialParametersStepTot[2] = fstep1->GetParameter(2); |
| 1006 | initialParametersStepTot[3] = fstep1->GetParameter(3); |
| 1007 | initialParametersStepTot[4] = fstep1->GetParameter(4); |
| 1008 | |
| 1009 | initialParametersStepTot[5] = fstep2->GetParameter(5);//second gaussian |
| 1010 | initialParametersStepTot[6] = fstep2->GetParameter(6); |
| 1011 | initialParametersStepTot[7] = fstep2->GetParameter(7); |
| 1012 | initialParametersStepTot[8] = fstep2->GetParameter(8); |
| 1013 | initialParametersStepTot[9] = fstep2->GetParameter(9); |
| 1014 | |
| 1015 | initialParametersStepTot[10] = fstep3->GetParameter(10);//third gaussian |
| 1016 | initialParametersStepTot[11] = fstep3->GetParameter(11); |
| 1017 | initialParametersStepTot[12] = fstep3->GetParameter(12); |
| 1018 | initialParametersStepTot[13] = fstep3->GetParameter(13); |
| 1019 | initialParametersStepTot[14] = fstep3->GetParameter(14); |
| 1020 | |
| 1021 | fstepTot->SetParameters(initialParametersStepTot);//initial parameter |
| 1022 | |
| 1023 | |
| 1024 | fstepTot->SetParLimits(0,initialParametersStepTot[0]*0.9,initialParametersStepTot[0]*1.1);//tollerance limit |
| 1025 | fstepTot->SetParLimits(1,initialParametersStepTot[1]*0.9,initialParametersStepTot[1]*1.1); |
| 1026 | fstepTot->SetParLimits(2,initialParametersStepTot[2]*0.9,initialParametersStepTot[2]*1.1); |
| 1027 | fstepTot->SetParLimits(3,initialParametersStepTot[3]*0.9,initialParametersStepTot[3]*1.1); |
| 1028 | fstepTot->SetParLimits(4,initialParametersStepTot[4]*0.9,initialParametersStepTot[4]*1.1); |
| 1029 | fstepTot->SetParLimits(5,initialParametersStepTot[5]*0.9,initialParametersStepTot[5]*1.1); |
| 1030 | fstepTot->SetParLimits(6,initialParametersStepTot[6]*0.9,initialParametersStepTot[6]*1.1); |
| 1031 | fstepTot->SetParLimits(7,initialParametersStepTot[7]*0.9,initialParametersStepTot[7]*1.1); |
| 1032 | fstepTot->SetParLimits(8,initialParametersStepTot[8]*0.9,initialParametersStepTot[8]*1.1); |
| 1033 | fstepTot->SetParLimits(9,initialParametersStepTot[9]*0.9,initialParametersStepTot[9]*1.1); |
| 1034 | fstepTot->SetParLimits(10,initialParametersStepTot[10]*0.9,initialParametersStepTot[10]*1.1); |
| 1035 | fstepTot->SetParLimits(11,initialParametersStepTot[11]*0.9,initialParametersStepTot[11]*1.1); |
| 1036 | fstepTot->SetParLimits(12,initialParametersStepTot[12]*0.9,initialParametersStepTot[12]*1.1); |
| 1037 | fstepTot->SetParLimits(13,initialParametersStepTot[13]*0.9,initialParametersStepTot[13]*1.1); |
| 1038 | fstepTot->SetParLimits(14,initialParametersStepTot[14]*0.9,initialParametersStepTot[14]*1.1); |
| 1039 | |
| 1040 | if(bin<9) for(Int_t npar=10;npar<15;npar++) fstepTot->FixParameter(npar,-0.00000000001); |
| d7cc7766 |
1041 | h->Fit(fstepTot,fFitOption.Data(),"",-3.5,3.5); //refit all |
| d36ecf07 |
1042 | |
| 1043 | for(Int_t j=0;j<9;j++) { |
| 1044 | fFitPars[j] = fstepTot->GetParameter(j); |
| 1045 | fFitParErrors[j] = fstepTot->GetParError(j); |
| 1046 | } |
| 1047 | |
| 1048 | //************************************* storing parameter to calculate the yields ******* |
| 1049 | Int_t chpa=0; |
| 1050 | if(code==321) chpa=5; |
| 1051 | if(code==2212) chpa=10; |
| 1052 | for(Int_t j=0;j<3;j++) { |
| 1053 | fFitpar[j] = fstepTot->GetParameter(j+chpa); |
| 1054 | fFitparErr[j] = fstepTot->GetParError(j+chpa); |
| 1055 | } |
| 1056 | |
| 1057 | DrawFitFunction(fstepTot); |
| 1058 | return; |
| 1059 | } |
| 1060 | |
| 1061 | //________________________________________________________ |
| 1062 | void AliITSsadEdxFitter::FillHisto(TH1F *hsps, Int_t bin, Float_t binsize, Int_t code){ |
| 1063 | // fill the spectra histo calculating the yield |
| 1064 | // first bin has to be 1 |
| 1065 | Double_t yield = 0; |
| 1066 | Double_t err = 0; |
| 1067 | Double_t ptbin = hsps->GetBinLowEdge(bin+1) - hsps->GetBinLowEdge(bin); |
| 1068 | |
| 1069 | if(IsGoodBin(bin-1,code)) { |
| 1070 | yield = fFitpar[0] / ptbin / binsize; |
| 1071 | err = fFitparErr[0] / ptbin / binsize; |
| 1072 | } |
| 1073 | |
| 1074 | hsps->SetBinContent(bin,yield); |
| 1075 | hsps->SetBinError(bin,err); |
| 1076 | return; |
| 1077 | } |
| 1078 | |
| 1079 | //________________________________________________________ |
| 1080 | void AliITSsadEdxFitter::FillHistoMC(TH1F *hsps, Int_t bin, Int_t code, TH1F *h){ |
| 1081 | // fill the spectra histo calculating the yield (using the MC truth) |
| 1082 | // first bin has to be 1 |
| 1083 | Double_t yield = 0; |
| 1084 | Double_t erryield=0; |
| 1085 | Double_t ptbin = hsps->GetBinLowEdge(bin+1) - hsps->GetBinLowEdge(bin); |
| 1086 | |
| 1087 | if(IsGoodBin(bin-1,code)){ |
| 1088 | yield = h->GetEntries() / ptbin; |
| 1089 | erryield=TMath::Sqrt(h->GetEntries()) / ptbin; |
| 1090 | } |
| 1091 | hsps->SetBinContent(bin,yield); |
| 1092 | hsps->SetBinError(bin,erryield); |
| 1093 | return; |
| 1094 | } |
| 1095 | |
| 1096 | //________________________________________________________ |
| 1097 | void AliITSsadEdxFitter::GetFitPar(Double_t *fitpar, Double_t *fitparerr) const { |
| 1098 | // getter of the fit parameters and the relative errors |
| 1099 | for(Int_t i=0;i<3;i++) { |
| 1100 | fitpar[i] = fFitpar[i]; |
| 1101 | fitparerr[i] = fFitparErr[i]; |
| 1102 | } |
| 1103 | return; |
| 1104 | } |
| 1105 | |
| 1106 | |
| 1107 | //________________________________________________________ |
| 1108 | void AliITSsadEdxFitter::PrintAll() const{ |
| 1109 | // print parameters |
| 1110 | |
| 1111 | printf("Range 1 = %f %f\n",fRangeStep1[0],fRangeStep1[1]); |
| 1112 | printf("Range 2 = %f %f\n",fRangeStep2[0],fRangeStep2[1]); |
| 1113 | printf("Range 3 = %f %f\n",fRangeStep3[0],fRangeStep3[1]); |
| 1114 | printf("Range F = %f %f\n",fRangeStep4[0],fRangeStep4[1]); |
| 1115 | printf(" Sigma1 = %f %f\n",fLimitsOnSigmaPion[0],fLimitsOnSigmaPion[1]); |
| 1116 | printf(" Sigma2 = %f %f\n",fLimitsOnSigmaKaon[0],fLimitsOnSigmaKaon[1]); |
| 1117 | printf(" Sigma3 = %f %f\n",fLimitsOnSigmaProton[0],fLimitsOnSigmaProton[1]); |
| 1118 | } |
| 1119 | //______________________________________________________________________ |
| 1120 | void AliITSsadEdxFitter::PrintInitialValues() const{ |
| 1121 | // print initial values |
| 1122 | |
| 1123 | printf("mean values -> %f %f %f\n",fExpPionMean,fExpKaonMean,fExpProtonMean); |
| 1124 | printf("integration ranges -> (%1.2f,%1.2f) (%1.2f,%1.2f) (%1.2f,%1.2f)\n", |
| 1125 | fRangeStep1[0],fRangeStep1[1],fRangeStep2[0],fRangeStep2[1],fRangeStep3[0],fRangeStep3[1]); |
| 1126 | printf("sigma values -> %f %f %f\n",fExpPionSigma,fExpKaonSigma,fExpProtonSigma); |
| 1127 | printf("sigma ranges -> (%1.2f,%1.2f) (%1.2f,%1.2f) (%1.2f,%1.2f)\n", |
| 1128 | fLimitsOnSigmaPion[0],fLimitsOnSigmaPion[1], |
| 1129 | fLimitsOnSigmaKaon[0],fLimitsOnSigmaKaon[1], |
| 1130 | fLimitsOnSigmaProton[0],fLimitsOnSigmaProton[1]); |
| 1131 | } |
git://git.uio.no / u / mrichter / AliRoot.git / blame