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7484404e | 1 | #include"TF1.h" |
2 | #include"TH1D.h" | |
3 | #include"TH2F.h" | |
4 | #include"TMath.h" | |
5 | #include"TSystem.h" | |
6 | #include"TCanvas.h" | |
7 | #include"TFile.h" | |
8 | #include"TGraphErrors.h" | |
9 | #include"AliPIDperfContainer.h" | |
10 | ||
11 | int LoadLib(); | |
12 | void doeffKa(Int_t pos=1,Float_t prob=0.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8); | |
13 | TH2F *GetHistoKap(Float_t pt=1,Float_t ptM=1.1,Float_t pMinkp=0,Float_t pMinkn=0.,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8); | |
14 | TH2F *GetHistoKan(Float_t pt=1,Float_t ptM=1.1,Float_t pMinkn=0,Float_t pMinkp=0.,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8); | |
15 | void fit(TH1D *h,Float_t *a=NULL,char *opt="",char *opt2="",Float_t pt=1.5); | |
16 | void AddHisto(TH2F *h1,TH2F *h2,Float_t w); | |
17 | ||
a8ad4709 | 18 | TObject* fContPid1; |
19 | TObject* fContPid2; | |
20 | const Int_t nBinPid = 14; // pt,eta, ptPip, ptPin, PPip, PPin, TOF3sigmaPip, TOF3sigmaPin, isPhiTrue, nsigmaPip, nsigmaPin | |
21 | // 0.985 < mass < 1.045 (60) and 0 < centrality < 100 (10) | |
22 | Int_t binPid[nBinPid] = {1/*ptPhi*/,8/*EtaPi*/,20/*pt+*/,20/*pt-*/,5/*P+*/,1/*P-*/,2/*TOFmatch+*/,2/*TOFmatch-*/,2/*istrue*/,4/*Nsigma+*/,4/*Nsigma-*/,1/*DeltaPhi+*/,1/*DeltaPhi-*/,1/*Psi*/}; | |
23 | Float_t xmin[nBinPid] = {1,-0.8,0.3,0.3,0,0,-0.5,-0.5,-0.5,0,0,-TMath::Pi(),-TMath::Pi(),-TMath::Pi()/2}; | |
24 | Float_t xmax[nBinPid] = {5,0.8,4.3,4.3,1,1,1.5,1.5,1.5,7.5,7.5,TMath::Pi(),TMath::Pi(),TMath::Pi()/2}; | |
25 | ||
26 | TF1 *fsign; | |
27 | TF1 *fall; | |
28 | TF1 *fback; | |
29 | ||
30 | Int_t ifunc=0; | |
31 | ||
32 | Float_t fitmin = 0.99; | |
33 | Float_t fitmax = 1.045; | |
34 | ||
08b5b548 | 35 | Int_t cmin = 1;// min 1 |
6490e37e | 36 | Int_t cmax = 8;// max 10 |
a8ad4709 | 37 | |
6490e37e | 38 | Float_t weightS = -1.; |
a8ad4709 | 39 | |
bf2e05d5 | 40 | Int_t rebinsize = 1; |
a8ad4709 | 41 | |
42 | Int_t parplotted = 2; | |
43 | ||
44 | Bool_t isMC = kFALSE; // don't change this (is set automatically) | |
45 | Bool_t selectTrue = kTRUE; // put it to true to remove background (only for MC) | |
46 | Bool_t keepTrue = kFALSE; // put it to false to fit only background (only for MC) | |
47 | ||
48 | Bool_t kGoodMatch = kFALSE; // to check good matching | |
49 | ||
50 | Bool_t kSigma2vs3 = kFALSE; // to check good matching | |
51 | ||
52 | Bool_t require5sigma = kFALSE; // don't touch this flag | |
53 | ||
54 | Bool_t bayesVsigma = kFALSE; // only to do checks | |
55 | ||
56 | Bool_t kTOFmatch = kFALSE; // for combined PID requires TOF matching | |
57 | ||
08b5b548 | 58 | Bool_t kOverAll = kFALSE; |
e34b28fe | 59 | Bool_t kOverAllTOFmatch = kFALSE; |
08b5b548 | 60 | Bool_t kOverAll2Sigma = kFALSE; |
167b8b0a | 61 | Bool_t kPid2Sigma = kFALSE; |
62 | Bool_t kPid3Sigma = kFALSE; | |
08b5b548 | 63 | |
64 | TH2F *hmatched; | |
65 | TH2F *htracked; | |
a8ad4709 | 66 | |
67 | Bool_t kLoaded=kFALSE; | |
7484404e | 68 | int LoadLib(){ |
6490e37e | 69 | weightS = -1.; |
a8ad4709 | 70 | |
bf2e05d5 | 71 | require5sigma = kFALSE; |
72 | ||
a8ad4709 | 73 | if(! kLoaded){ |
4070f709 | 74 | gSystem->Load("libVMC"); |
75 | gSystem->Load("libPhysics"); | |
76 | gSystem->Load("libTree"); | |
77 | gSystem->Load("libMinuit"); | |
78 | gSystem->Load("libSTEERBase"); | |
79 | gSystem->Load("libANALYSIS"); | |
80 | gSystem->Load("libAOD"); | |
81 | gSystem->Load("libESD"); | |
82 | gSystem->Load("libANALYSIS"); | |
83 | gSystem->Load("libANALYSISalice"); | |
84 | gSystem->Load("libCORRFW"); | |
85 | gSystem->Load("libNetx"); | |
86 | gSystem->Load("libPWGPPpid"); | |
a8ad4709 | 87 | |
88 | TFile *f = new TFile("AnalysisResults.root"); | |
a8ad4709 | 89 | TList *l = (TList *) f->Get("contPhiBayes1"); |
08b5b548 | 90 | TList *l2 = (TList *) f->Get("contPhiBayes2"); |
7484404e | 91 | |
92 | if(!(l && l2)) return 0; | |
93 | ||
08b5b548 | 94 | fContPid1 = (AliPIDperfContainer *) l->FindObject("contPID"); |
95 | fContPid2 = (AliPIDperfContainer *) l->FindObject("contPID2"); | |
96 | hmatched = (TH2F *) l2->FindObject("hMatchKa"); | |
97 | htracked = (TH2F *) l2->FindObject("hTrackingKa"); | |
a8ad4709 | 98 | } |
99 | kLoaded = kTRUE; | |
100 | ||
101 | // check if MC | |
476e3d92 FN |
102 | Float_t x[] = {xmin[0]+0.001,xmin[1]+0.001,xmin[2]+0.001,xmin[3]+0.001,xmin[4]+0.001,xmin[5]+0.001,xmin[6]+0.001,xmin[7]+0.001,1/*trueMC*/,xmin[9],xmin[10],xmin[11],xmin[12],xmin[13]}; |
103 | Float_t x2[] = {xmax[0],xmax[1],xmax[2],xmax[3],xmax[4],xmax[5],xmax[6],xmax[7],xmax[8],xmax[9],xmax[10],xmax[11],xmax[12],xmax[13]}; | |
a8ad4709 | 104 | |
7484404e | 105 | AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid1; |
a8ad4709 | 106 | TH1D *h = tmp->GetQA(0, x, x2)->ProjectionX("checkMC"); |
107 | ||
108 | if(h->GetEntries()) isMC = kTRUE; | |
109 | else isMC=kFALSE; | |
110 | ||
111 | if(!isMC){ | |
112 | selectTrue = kFALSE; | |
113 | keepTrue = kTRUE; | |
114 | } | |
115 | else{ | |
116 | printf("MC truth found!!!!!!\nIt is MC!!!!!!"); | |
117 | } | |
118 | ||
119 | fsign = new TF1("fsign","[0]*TMath::Voigt(x-[1],[3],[2])*(x>0.987)*(x > 1.005 && x < 1.035 || [4])",fitmin,fitmax); | |
120 | fback = new TF1("fback","([0]*sqrt(x-0.987) + [1]*(x-0.987) + [2]*sqrt(x-0.987)*(x-0.987) +[3]*(x-0.987)*(x-0.987)+[4]*(x-0.987)*(x-0.987)*sqrt(x-0.987))*(x>0.987)",fitmin,fitmax); | |
121 | fall = new TF1("fall","([0]*TMath::Voigt(x-[1],[3],[2])*(x > 1.005 && x < 1.035 || [9]) + [4]*sqrt(x-0.987) + [5]*(x-0.987) + [6]*sqrt(x-0.987)*(x-0.987) +[7]*(x-0.987)*(x-0.987)+[8]*(x-0.987)*(x-0.987)*sqrt(x-0.987))*(x>0.987)",0.987,1.05); | |
122 | ||
123 | if(isMC){ | |
124 | fsign->SetParameter(4,0); | |
125 | fall->FixParameter(9,0); | |
126 | } | |
127 | else{ | |
128 | fsign->SetParameter(4,1); | |
129 | fall->FixParameter(9,1); | |
130 | } | |
131 | ||
132 | fsign->SetLineColor(2); | |
133 | fback->SetLineColor(4); | |
134 | ||
135 | if(kSigma2vs3){ | |
136 | kGoodMatch=kFALSE; | |
137 | kOverAll = 0; | |
138 | } | |
139 | ||
140 | if(bayesVsigma){ | |
141 | kOverAll = 0; | |
142 | kGoodMatch=kFALSE; | |
143 | kSigma2vs3=kFALSE; | |
144 | kTOFmatch=kTRUE; | |
6490e37e | 145 | weightS = -0.7; |
a8ad4709 | 146 | } |
e34b28fe | 147 | if(kOverAll){ |
6490e37e | 148 | weightS = -0.7; |
e34b28fe | 149 | } |
7484404e | 150 | |
151 | return 1; | |
a8ad4709 | 152 | } |
153 | ||
7484404e | 154 | void doeffKa(Int_t pos,Float_t prob,Float_t etaminkp,Float_t etamaxkp){ |
a8ad4709 | 155 | LoadLib(); |
08b5b548 | 156 | TH1D *hm = hmatched->ProjectionX("matchingKaEff",cmin,cmax); |
157 | TH1D *ht = htracked->ProjectionX("tracking",cmin,cmax); | |
158 | ||
159 | hm->GetYaxis()->SetTitle("TOF matching eff."); | |
160 | hm->SetTitle("Using probability as weights"); | |
161 | ||
162 | hm->Sumw2(); | |
163 | ht->Sumw2(); | |
164 | ||
165 | hm->Divide(hm,ht,1,1,"B"); | |
a8ad4709 | 166 | |
08b5b548 | 167 | |
a8ad4709 | 168 | Int_t nptbin = binPid[2]; |
169 | Float_t minptbin = xmin[2]; | |
170 | Float_t maxptbin = xmax[2]; | |
171 | ||
172 | if(pos == 0){ | |
173 | nptbin = binPid[3]; | |
174 | minptbin = xmin[3]; | |
175 | maxptbin = xmax[3]; | |
176 | } | |
177 | ||
167b8b0a | 178 | if(prob > 0.1999|| kPid3Sigma ||kPid2Sigma){ |
a8ad4709 | 179 | kGoodMatch = kFALSE; |
180 | kSigma2vs3 = kFALSE; | |
80d8d480 | 181 | // if(! kOverAll) require5sigma = kTRUE; |
6490e37e | 182 | if(!isMC && !kOverAll) weightS = -0.95; |
a8ad4709 | 183 | } |
184 | ||
7484404e | 185 | TCanvas *c1 = new TCanvas(); |
186 | c1->Divide((nptbin+1)/2,2); | |
187 | TH2F *hh,*hh2; | |
188 | TH1D *h; | |
a8ad4709 | 189 | char name[100]; |
190 | Float_t b[50][3]; | |
191 | ||
192 | Double_t xx[50],yy[50]; | |
193 | Double_t exx[50],eyy[50]; | |
194 | ||
195 | for(Int_t i=0;i < nptbin;i++){ | |
7484404e | 196 | c1->cd(i+1);//->SetLogy(); |
a8ad4709 | 197 | Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i); |
198 | Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1); | |
199 | ||
200 | xx[i] = (ptmin+ptmax)/2; | |
201 | exx[i] = (-ptmin+ptmax)/2; | |
202 | ||
203 | Float_t pp=0.1; | |
204 | if(prob < 0.2) pp = 0.; | |
205 | if(pos) hh=GetHistoKap(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp); | |
206 | else hh=GetHistoKan(ptmin,ptmax,pp,0.0); | |
207 | sprintf(name,"TOF matched: %f < p_{T} < %f GeV/#it{c}",ptmin,ptmax); | |
208 | hh->SetTitle(name); | |
209 | sprintf(name,"hNoPid%i",i); | |
210 | ||
211 | pp=prob; | |
212 | if(prob < 0.2) pp = 0.1; | |
213 | if(pos) hh2=GetHistoKap(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp); | |
214 | else hh2=GetHistoKan(ptmin,ptmax,pp,0.0); | |
215 | AddHisto(hh,hh2,weightS); | |
216 | ||
9309a88b | 217 | if(xx[i] > 2.5) rebinsize = 2; |
218 | ||
a8ad4709 | 219 | h = hh->ProjectionX(name,cmin,cmax); |
220 | h->RebinX(rebinsize); | |
221 | h->Draw("ERR"); | |
222 | h->SetMarkerStyle(24); | |
223 | b[i][0]=-1; | |
224 | Int_t ntrial = 0; | |
225 | Float_t chi2 = 10000; | |
08b5b548 | 226 | while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){ |
a8ad4709 | 227 | fit(h,b[i],"WW","",xx[i]); |
228 | c1->Update(); | |
229 | // getchar(); | |
230 | fit(h,b[i],"","",xx[i]); | |
231 | ntrial++; | |
232 | chi2 = b[i][2]; | |
233 | printf("chi2 = %f\n",chi2); | |
234 | c1->Update(); | |
235 | // getchar(); | |
236 | ||
237 | } | |
238 | ||
239 | yy[i] = fall->GetParameter(parplotted); | |
240 | eyy[i] = fall->GetParError(parplotted); | |
241 | } | |
242 | ||
243 | TGraphErrors *gpar = new TGraphErrors(nptbin,xx,yy,exx,eyy); | |
7484404e | 244 | c1->cd(8); |
08b5b548 | 245 | // gpar->Draw("AP"); |
a8ad4709 | 246 | gpar->SetMarkerStyle(20); |
247 | ||
248 | TCanvas *c2 = new TCanvas(); | |
249 | c2->Divide((nptbin+1)/2,2); | |
250 | Float_t b2[50][3]; | |
251 | ||
252 | for(Int_t i=0;i < nptbin;i++){ | |
253 | c2->cd(i+1); | |
254 | Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i); | |
255 | Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1); | |
256 | ||
257 | Float_t pp=prob; | |
258 | if(prob < 0.2) pp = 0.1; | |
259 | if(pos) hh=GetHistoKap(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp); | |
260 | else hh=GetHistoKan(ptmin,ptmax,pp,0.0); | |
261 | sprintf(name,"P_{TOF} > 0.8: %f < p_{T} < %f GeV/#it{c}",ptmin,ptmax); | |
262 | hh->SetTitle(name); | |
263 | sprintf(name,"hPid60_%i",i); | |
264 | h = hh->ProjectionX(name,cmin,cmax); | |
265 | h->RebinX(rebinsize); | |
266 | h->Draw("ERR"); | |
267 | h->SetMarkerStyle(24); | |
268 | b2[i][0]=-1; | |
269 | Int_t ntrial = 0; | |
270 | Float_t chi2 = 10000; | |
08b5b548 | 271 | while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){ |
a8ad4709 | 272 | fit(h,b2[i],"WW",""); |
273 | fit(h,b2[i],"",""); | |
274 | ntrial++; | |
275 | chi2 = b2[i][2]; | |
276 | printf("chi2 = %f\n",chi2); | |
277 | } | |
278 | yy[i] = fall->GetParameter(parplotted); | |
279 | eyy[i] = fall->GetParError(parplotted); | |
280 | ||
281 | } | |
282 | ||
283 | TGraphErrors *gpar2 = new TGraphErrors(nptbin,xx,yy,exx,eyy); | |
284 | c2->cd(8); | |
08b5b548 | 285 | // gpar2->Draw("AP"); |
a8ad4709 | 286 | gpar2->SetMarkerStyle(20); |
287 | ||
288 | Double_t xpt[50],expt[50],eff[50],efferr[50]; | |
289 | for(Int_t i=0;i<nptbin;i++){ | |
290 | printf("%f +/- %f - %f +/- %f\n",b[i][0],b[i][1],b2[i][0],b2[i][1]); | |
291 | ||
292 | Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i); | |
293 | Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1); | |
294 | ||
295 | xpt[i] = (ptmin+ptmax)/2; | |
296 | expt[i] = (-ptmin+ptmax)/2; | |
297 | eff[i] = b2[i][0]/(b[i][0]-b2[i][0]*weightS); | |
298 | ||
ca4825ae | 299 | // b[i][0] = b[i][0]-b2[i][0]*weightS; |
a8ad4709 | 300 | |
ca4825ae | 301 | // if(b[i][0] < 0.5) b[i][0] = 0.5; |
302 | // if(b2[i][0] < 0.5) b2[i][0] = 0.5; | |
7ae044be | 303 | |
476e3d92 | 304 | |
ca4825ae | 305 | // efferr[i] = TMath::Abs(b[i][1]*b[i][1]/b[i][0]/b[i][0] + b2[i][1]*b2[i][1]/b2[i][0]/b2[i][0])*(b2[i][0]+b2[i][1])*(1+weightS*(b2[i][0]-b2[i][1])/b[i][0])/b[i][0];//*(1-eff[i]);//der2*der2*(b[i][1]*b[i][1] - b2[i][1]*b2[i][1])); |
306 | // efferr[i] = TMath::Sqrt(efferr[i]); | |
307 | efferr[i] = 1./(b[i][0]-b2[i][0]*weightS)/(b[i][0]-b2[i][0]*weightS)*TMath::Sqrt(b[i][0]*b[i][0]*b2[i][1]*b2[i][1] + b2[i][0]*b2[i][0]*b[i][1]*b[i][1]); | |
a8ad4709 | 308 | |
309 | if(TMath::Abs(efferr[i]) > 1)efferr[i]=1; | |
310 | } | |
311 | new TCanvas(); | |
312 | TGraphErrors *geff = new TGraphErrors(nptbin,xpt,eff,expt,efferr); | |
313 | geff->Draw("AP"); | |
314 | ||
315 | char flag[100]; | |
7484404e | 316 | flag[0] = '\0'; |
a8ad4709 | 317 | |
318 | if(isMC){ | |
319 | if(selectTrue) sprintf(flag,"true"); | |
320 | else if(!keepTrue) sprintf(flag,"back"); | |
321 | } | |
322 | ||
323 | char flag2[100]; | |
7484404e | 324 | flag2[0] = '\0'; |
a8ad4709 | 325 | |
08b5b548 | 326 | Bool_t kWriteME = kFALSE; |
327 | ||
a8ad4709 | 328 | char etarange[100]; |
329 | sprintf(etarange,"_%.1f-%.1f_",etaminkp,etamaxkp); | |
330 | ||
331 | if(kGoodMatch) | |
332 | sprintf(flag2,"GM"); | |
333 | ||
334 | if(bayesVsigma) | |
335 | sprintf(flag2,"BayesVsSigma"); | |
336 | ||
337 | if(kSigma2vs3) | |
338 | sprintf(flag2,"Sigma2vs3"); | |
339 | ||
340 | if(kOverAll) | |
341 | sprintf(flag2,"OverAll"); | |
e34b28fe | 342 | if(kOverAllTOFmatch) |
343 | sprintf(flag2,"OverAllTOF"); | |
344 | if(kOverAll2Sigma) | |
345 | sprintf(flag2,"OverAll2sigma"); | |
a8ad4709 | 346 | |
167b8b0a | 347 | if(kPid3Sigma) |
348 | sprintf(flag2,"pid3sigma"); | |
349 | if(kPid2Sigma) | |
350 | sprintf(flag2,"pid2sigma"); | |
351 | ||
a8ad4709 | 352 | if(pos){ |
353 | if(prob >=0.2) sprintf(name,"kaonPos%sP%iEff%i_%i%s%s.root",etarange,Int_t(prob*100),(cmin-1)*10,cmax*10,flag,flag2); | |
08b5b548 | 354 | else{ |
355 | sprintf(name,"kaonPos%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2); | |
6490e37e | 356 | if(!(kOverAll || bayesVsigma || kGoodMatch || kSigma2vs3)) kWriteME = kTRUE; |
08b5b548 | 357 | } |
a8ad4709 | 358 | } |
359 | else{ | |
360 | if(prob >=0.2) sprintf(name,"kaonNeg%sP%iEff%i_%i%s%s.root",etarange,Int_t(prob*100),(cmin-1)*10,cmax*10,flag,flag2); | |
361 | else sprintf(name,"kaonNeg%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2); | |
362 | } | |
363 | ||
08b5b548 | 364 | geff->SetTitle("K efficiency (from #phi);p_{T} (GeV/#it{c};efficiency"); |
a8ad4709 | 365 | TFile *fout = new TFile(name,"RECREATE"); |
366 | geff->Write(); | |
08b5b548 | 367 | if(kWriteME) hm->Write(); |
a8ad4709 | 368 | fout->Close(); |
369 | ||
08b5b548 | 370 | if(kWriteME) hm->Draw("SAME"); |
a8ad4709 | 371 | } |
372 | ||
7484404e | 373 | TH2F *GetHistoKap(Float_t pt,Float_t ptM,Float_t pMinkp,Float_t pMinkn,Float_t etaminkp,Float_t etamaxkp){ |
a8ad4709 | 374 | |
167b8b0a | 375 | Float_t x[] = {xmin[0]+0.001,etaminkp+0.001,pt+0.001,xmin[3]+0.001,pMinkp+0.001,pMinkn+0.001,(pMinkp>0.09 || kPid3Sigma||kPid2Sigma)+0.001,kTOFmatch+0.001,selectTrue,xmin[9],xmin[10],xmin[11],xmin[12],xmin[13]}; |
a8ad4709 | 376 | Float_t x2[] = {xmax[0],etamaxkp-0.001,ptM-0.001,xmax[3],xmax[4],xmax[5],xmax[6],xmax[7],keepTrue,xmax[9],xmax[10],xmax[11],xmax[12],xmax[13]}; |
377 | ||
e34b28fe | 378 | if(kOverAll){ |
379 | x[6] = 0.0001; | |
6490e37e | 380 | x2[9] = 5.9; |
381 | if(pMinkp > 0.19) x2[9] = 4.9; | |
e34b28fe | 382 | } |
383 | ||
384 | if(kOverAllTOFmatch && pMinkp > 0.19){ | |
385 | x[6] = 1.0001; | |
6490e37e | 386 | x2[9] = 4.9; |
e34b28fe | 387 | } |
388 | ||
389 | if(kOverAll2Sigma && pMinkp > 0.09){ | |
390 | x2[9] = 2; | |
391 | x[6] = 1.0001; | |
392 | } | |
393 | ||
a8ad4709 | 394 | if(kGoodMatch){ |
395 | x[6] = 1.0001; | |
396 | if(pMinkp > 0) | |
397 | x2[9] = 4.9; | |
398 | ||
399 | } | |
400 | ||
401 | if(kTOFmatch){ | |
402 | x[6] = 1.0001; | |
403 | } | |
404 | ||
405 | if(kSigma2vs3){ | |
406 | x[6] = 1.0001; | |
407 | x2[9] = 3; | |
408 | if(pMinkp > 0) | |
409 | x2[9] = 2; | |
410 | } | |
411 | ||
412 | if(bayesVsigma){ | |
413 | if(pMinkp > 0){ | |
414 | x[4] = 0.2001; | |
415 | x2[9] = 5; | |
416 | } | |
417 | else{ | |
418 | x2[9] = 3; | |
419 | } | |
420 | ||
421 | ||
422 | } | |
423 | ||
424 | if(require5sigma) x2[9] = 4.9; | |
167b8b0a | 425 | if(kPid3Sigma && pMinkp>0.09) x2[9] = 2.9; |
426 | if(kPid2Sigma && pMinkp>0.09) x2[9] = 1.9; | |
a8ad4709 | 427 | |
7484404e | 428 | AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid1; |
a8ad4709 | 429 | |
430 | TH2F *h = tmp->GetQA(0, x, x2); | |
431 | ||
432 | h->GetXaxis()->SetTitle("M_{#phi} (GeV/#it{c}^{2})"); | |
433 | h->GetYaxis()->SetTitle("centrality [%]"); | |
434 | ||
435 | return h; | |
436 | } | |
437 | ||
7484404e | 438 | TH2F *GetHistoKan(Float_t pt,Float_t ptM,Float_t pMinkn,Float_t pMinkp,Float_t etaminkp,Float_t etamaxkp){ |
a8ad4709 | 439 | |
167b8b0a | 440 | Float_t x[] = {xmin[0]+0.001,etaminkp+0.001,xmin[2]+0.001,pt+0.001,pMinkp+0.001,pMinkn+0.001,kTOFmatch+0.001,(pMinkn>0.09 || kPid3Sigma||kPid2Sigma)+0.001,selectTrue,xmin[9],xmin[10],xmin[11],xmin[12],xmin[13]}; |
a8ad4709 | 441 | Float_t x2[] = {xmax[0],etamaxkp-0.001,xmax[2],ptM-0.001,xmax[4],xmax[5],xmax[6],xmax[7],keepTrue,xmax[9],xmax[10],xmax[11],xmax[12],xmax[13]}; |
442 | ||
e34b28fe | 443 | if(kOverAll){ |
444 | x[7] = 0.0001; | |
6490e37e | 445 | x2[10] = 5.9; |
446 | if(pMinkn > 0.19) x2[10] = 4.9; | |
e34b28fe | 447 | } |
448 | ||
449 | if(kOverAllTOFmatch && pMinkn > 0.19){ | |
450 | x[7] = 1.0001; | |
6490e37e | 451 | x2[10] = 4.9; |
e34b28fe | 452 | } |
453 | ||
454 | if(kOverAll2Sigma && pMinkn > 0.09){ | |
455 | x2[10] = 2; | |
456 | x[7] = 1.0001; | |
457 | } | |
458 | ||
a8ad4709 | 459 | if(kGoodMatch){ |
460 | x[7] = 1.0001; | |
461 | if(pMinkn > 0) | |
462 | x2[10] = 4.9; | |
463 | ||
464 | } | |
465 | ||
466 | if(kTOFmatch){ | |
467 | x[7] = 1.0001; | |
468 | } | |
469 | ||
470 | if(kSigma2vs3){ | |
471 | x[7] = 1.0001; | |
472 | x2[10] = 3; | |
473 | if(pMinkn > 0) | |
474 | x2[10] = 2; | |
475 | } | |
476 | ||
477 | if(bayesVsigma){ | |
478 | if(pMinkn > 0){ | |
479 | x[5] = 0.2001; | |
480 | x2[10] = 5; | |
481 | } | |
482 | else{ | |
483 | x2[10] = 3; | |
484 | } | |
485 | } | |
486 | ||
487 | if(require5sigma) x2[10] = 4.9; | |
167b8b0a | 488 | if(kPid3Sigma && pMinkn>0.09) x2[10] = 2.9; |
489 | if(kPid2Sigma && pMinkn>0.09) x2[10] = 1.9; | |
a8ad4709 | 490 | |
7484404e | 491 | AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid2; |
a8ad4709 | 492 | |
493 | TH2F *h = tmp->GetQA(0, x, x2); | |
494 | ||
495 | h->GetXaxis()->SetTitle("M_{#phi} (GeV/#it{c}^{2})"); | |
496 | h->GetYaxis()->SetTitle("centrality [%]"); | |
497 | ||
498 | return h; | |
499 | } | |
500 | ||
501 | ||
7484404e | 502 | void fit(TH1D *h,Float_t *a,char *opt,char *opt2,Float_t pt){ |
a8ad4709 | 503 | if(h->GetEntries() < 1){ |
504 | if(a){ | |
505 | a[0]=0.01; | |
506 | a[1]=1; | |
507 | } | |
508 | return; | |
509 | } | |
510 | ||
511 | ||
512 | fall->SetParameter(0,100); | |
513 | fall->SetParameter(0,1.01898 + 2.4e-04*pt); | |
514 | fall->SetParameter(2,0.0044); | |
515 | fall->SetParameter(3,0.0015); | |
516 | ||
517 | fall->SetParLimits(0,-100,100000); | |
518 | fall->SetParLimits(1,1.01898 + 2.4e-04*pt-1e-03,1.01898 + 2.4e-04*pt+1e-03); | |
519 | fall->SetParLimits(2,0.0005,0.006); | |
520 | fall->SetParLimits(3,0.001,0.0017); | |
521 | ||
522 | fall->FixParameter(1,1.01884 + 2.9891e-04*pt); | |
523 | fall->FixParameter(2,0.0044); | |
524 | fall->FixParameter(3,7.57574e-04 + 3.85408e-04*pt); | |
525 | ||
526 | fall->ReleaseParameter(4); | |
527 | fall->ReleaseParameter(5); | |
528 | fall->ReleaseParameter(6); | |
529 | fall->ReleaseParameter(7); | |
530 | fall->ReleaseParameter(8); | |
531 | ||
532 | ||
533 | if(!kGoodMatch && !kSigma2vs3){ | |
534 | if(pt > 1.5){ | |
535 | fall->FixParameter(7,0); | |
536 | fall->FixParameter(8,0); | |
537 | } | |
538 | if(pt > 1.7){ | |
539 | fall->FixParameter(6,0); | |
540 | } | |
541 | } | |
542 | ||
543 | if(selectTrue){ | |
544 | fall->FixParameter(4,0); | |
545 | fall->FixParameter(5,0); | |
546 | fall->FixParameter(6,0); | |
547 | fall->FixParameter(7,0); | |
548 | fall->FixParameter(8,0); | |
549 | } | |
550 | ||
551 | char name[100]; | |
552 | TF1 *ftmp=fall; | |
553 | ||
554 | TF1 *ftmp2=new TF1(*fsign); | |
555 | sprintf(name,"fsign%i",ifunc); | |
556 | ftmp2->SetName(name); | |
557 | ||
558 | TF1 *ftmp3=new TF1(*fback); | |
559 | sprintf(name,"ftmp3%i",ifunc); | |
560 | ftmp3->SetName(name); | |
561 | ||
562 | ifunc++; | |
563 | ||
564 | h->Fit(ftmp,opt,opt2,fitmin,fitmax); | |
565 | h->Draw("ERR"); | |
566 | ||
567 | ftmp2->SetParameter(0,ftmp->GetParameter(0)); | |
568 | ftmp2->SetParameter(1,ftmp->GetParameter(1)); | |
569 | ftmp2->SetParameter(2,ftmp->GetParameter(2)); | |
570 | ftmp2->SetParameter(3,ftmp->GetParameter(3)); | |
571 | ftmp2->Draw("SAME"); | |
572 | ftmp3->SetParameter(0,ftmp->GetParameter(4)); | |
573 | ftmp3->SetParameter(1,ftmp->GetParameter(5)); | |
574 | ftmp3->SetParameter(2,ftmp->GetParameter(6)); | |
575 | ftmp3->SetParameter(3,ftmp->GetParameter(7)); | |
576 | ftmp3->SetParameter(4,ftmp->GetParameter(8)); | |
577 | ftmp3->Draw("SAME"); | |
578 | ||
579 | Float_t mean = ftmp->GetParameter(1); | |
580 | Float_t sigma = 0.0044;//TMath::Abs(ftmp->GetParameter(2)); | |
581 | ||
582 | Float_t signI = ftmp2->Integral(mean-10*sigma,mean+10*sigma)/h->GetBinWidth(1); | |
7ae044be | 583 | if(signI < 0.1) signI = 0.1; |
476e3d92 | 584 | |
a8ad4709 | 585 | Float_t backI = ftmp3->Integral(mean-3*sigma,mean+3*sigma)/h->GetBinWidth(1); |
476e3d92 | 586 | if(backI < 1) backI = 1; |
a8ad4709 | 587 | |
476e3d92 FN |
588 | Float_t errI = TMath::Abs(ftmp->GetParError(0)*ftmp->GetParError(0)/(0.001+ftmp->GetParameter(0))/(0.001+ftmp->GetParameter(0))); |
589 | errI = TMath::Sqrt(errI); | |
a8ad4709 | 590 | |
591 | printf("signal(5 sigma) = %f +/- %f(fit) +/- %f(stat)\n",signI,errI*signI,TMath::Sqrt(signI)); | |
592 | printf("backgr(3sigma) = %f\n",backI); | |
593 | printf("significance(3 sigma) = %f\n",signI/sqrt(signI+backI)); | |
594 | ||
595 | if(a){ | |
596 | a[0]=signI; | |
597 | a[1]=signI*errI*signI*errI + signI; | |
598 | a[1] = TMath::Sqrt(a[1]); | |
599 | if(ftmp->GetNDF()) a[2] = ftmp->GetChisquare()/ftmp->GetNDF(); | |
600 | ||
601 | ||
602 | if(selectTrue){ | |
6490e37e | 603 | a[0] = h->GetEntries(); |
a8ad4709 | 604 | a[1] = TMath::Sqrt(a[0]); |
605 | } | |
606 | } | |
607 | } | |
608 | ||
7484404e | 609 | void AddHisto(TH2F *h1,TH2F *h2,Float_t w){ |
a8ad4709 | 610 | Int_t nbinx = h1->GetNbinsX(); |
611 | Int_t nbiny = h1->GetNbinsY(); | |
612 | ||
613 | for(Int_t i=1;i<=nbinx;i++){ | |
614 | for(Int_t j=1;j<=nbiny;j++){ | |
7484404e | 615 | Double_t val = h1->GetBinContent(i,j) + h2->GetBinContent(i,j)*w; |
a8ad4709 | 616 | Float_t err = TMath::Min(TMath::Sqrt(val),val); |
617 | h1->SetBinContent(i,j,val); | |
618 | h1->SetBinError(i,j,err); | |
619 | } | |
620 | } | |
621 | } |