8 #include"TGraphErrors.h"
9 #include"AliPIDperfContainer.h"
13 void doeffPi(Int_t pos=1,Float_t prob=0.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
14 TH2F *GetHistoPip(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);
15 TH2F *GetHistoPin(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);
16 void fit(TH1D *h,Float_t *a=NULL,char *opt="",char *opt2="",Float_t pt=1.5);
17 void AddHisto(TH2F *h1,TH2F *h2,Float_t w);
21 const Int_t nBinPid = 14; // pt,eta, ptPip, ptPin, PPip, PPin, TOF3sigmaPip, TOF3sigmaPin, isPhiTrue, nsigmaPip, nsigmaPin
22 // 0.985 < mass < 1.045 (60) and 0 < centrality < 100 (10)
23 Int_t binPid[nBinPid] = {1/*ptPhi*/,1/*EtaPi*/,20/*pt+*/,20/*pt-*/,5/*P+*/,5/*P-*/,2/*TOFmatch+*/,2/*TOFmatch-*/,2/*istrue*/,4/*Nsigma+*/,4/*Nsigma-*/,1/*DeltaPhi+*/,1/*DeltaPhi-*/,1/*Psi*/};
24 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};
25 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};
36 Int_t cmin = 1; // min 1
37 Int_t cmax = 10;//max 10
39 Float_t weightS = -1.;
45 Bool_t isMC = kFALSE; // don't change this (is set automatically)
46 Bool_t selectTrue = kTRUE; // put it to true to remove background (only for MC)
47 Bool_t keepTrue = kTRUE; // put it to false to fit only background (only for MC)
49 Bool_t kGoodMatch = kFALSE; // to check good matching
51 Bool_t kSigma2vs3 = kFALSE; // to check good matching
53 Bool_t require5sigma = kFALSE; // don't touch this flag
55 Bool_t bayesVsigma = kFALSE; // only to do checks
57 Bool_t kTOFmatch = kFALSE; // for combined PID requires TOF matching
59 Bool_t kOverAll = kFALSE;
60 Bool_t kOverAllTOFmatch = kFALSE;
61 Bool_t kOverAll2Sigma = kFALSE;
63 Bool_t kPid2Sigma = kFALSE;
64 Bool_t kPid3Sigma = kFALSE;
69 Bool_t kLoaded=kFALSE;
74 require5sigma = kFALSE;
77 gSystem->Load("libVMC.so");
78 gSystem->Load("libPhysics.so");
79 gSystem->Load("libTree.so");
80 gSystem->Load("libMinuit.so");
81 gSystem->Load("libSTEERBase.so");
82 gSystem->Load("libANALYSIS.so");
83 gSystem->Load("libAOD.so");
84 gSystem->Load("libESD.so");
85 gSystem->Load("libANALYSIS.so");
86 gSystem->Load("libANALYSISalice.so");
87 gSystem->Load("libCORRFW.so");
88 gSystem->Load("libNetx.so");
89 gSystem->Load("libPWGPPpid.so");
91 TFile *f = new TFile("AnalysisResults.root");
92 TList *l = (TList *) f->Get("contK0sBayes1");
93 TList *l2 = (TList *) f->Get("contK0sBayes2");
95 if(! (l && l2)) return 0;
97 fContPid1 = (AliPIDperfContainer *) l->FindObject("contPID");
98 fContPid2 = (AliPIDperfContainer *) l->FindObject("contPID2");
99 hmatched = (TH2F *) l2->FindObject("hMatchPi");
100 htracked = (TH2F *) l2->FindObject("hTrackingPi");
105 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]};
106 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]};
108 AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid1;
109 TH1D *h = tmp->GetQA(0, x, x2)->ProjectionX("checkMC");
111 if(h->GetEntries()) isMC = kTRUE;
119 printf("MC truth found!!!!!!\nIt is MC!!!!!!");
122 fsign = new TF1("fsign","gaus(0) +0.5*[0]*TMath::Exp(-[3]*TMath::Abs(x-[1]))",fitmin,fitmax);
123 fback = new TF1("fback","pol2",fitmin,fitmax);
124 fall = new TF1("fall","gaus(0) +0.5*[0]*TMath::Exp(-[3]*TMath::Abs(x-[1])) + pol2(4)",fitmin,fitmax);
126 fsign->SetLineColor(2);
127 fback->SetLineColor(4);
145 void doeffPi(Int_t pos,Float_t prob,Float_t etaminkp,Float_t etamaxkp){
147 TH1D *hm = hmatched->ProjectionX("matchingPiEff",cmin,cmax);
148 TH1D *ht = htracked->ProjectionX("tracking",cmin,cmax);
150 hm->GetYaxis()->SetTitle("TOF matching eff.");
151 hm->SetTitle("Using probability as weights");
156 hm->Divide(hm,ht,1,1,"B");
158 Int_t nptbin = binPid[2];
159 Float_t minptbin = xmin[2];
160 Float_t maxptbin = xmax[2];
168 if(prob > 0.1999|| kPid3Sigma ||kPid2Sigma){
171 // if(! kOverAll) require5sigma = kTRUE;
172 if(!isMC) weightS = -0.95;
175 TCanvas *c1 = new TCanvas();
176 c1->Divide((nptbin+1)/2,2);
182 Double_t xx[50],yy[50];
183 Double_t exx[50],eyy[50];
185 for(Int_t i=0;i < nptbin;i++){
186 c1->cd(i+1);//->SetLogy();
187 Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
188 Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
190 xx[i] = (ptmin+ptmax)/2;
191 exx[i] = (-ptmin+ptmax)/2;
194 if(prob < 0.2) pp = 0.;
195 if(pos) hh=GetHistoPip(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp);
196 else hh=GetHistoPin(ptmin,ptmax,pp,0.0);
197 sprintf(name,"TOF matched: %f < p_{T} < %f GeV/#it{c}",ptmin,ptmax);
199 sprintf(name,"hNoPid%i",i);
202 if(prob < 0.2) pp = 0.1;
203 if(pos) hh2=GetHistoPip(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp);
204 else hh2=GetHistoPin(ptmin,ptmax,pp,0.0);
205 AddHisto(hh,hh2,weightS);
207 h = hh->ProjectionX(name,cmin,cmax);
208 h->RebinX(rebinsize);
210 h->SetMarkerStyle(24);
213 Float_t chi2 = 10000;
214 while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
215 fit(h,b[i],"WW","",xx[i]);
218 fit(h,b[i],"","",xx[i]);
221 printf("chi2 = %f\n",chi2);
227 yy[i] = fall->GetParameter(parplotted);
228 eyy[i] = fall->GetParError(parplotted);
231 TGraphErrors *gpar = new TGraphErrors(nptbin,xx,yy,exx,eyy);
234 gpar->SetMarkerStyle(20);
236 TCanvas *c2 = new TCanvas();
237 c2->Divide((nptbin+1)/2,2);
240 for(Int_t i=0;i < nptbin;i++){
242 Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
243 Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
246 if(prob < 0.2) pp = 0.1;
247 if(pos) hh=GetHistoPip(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp);
248 else hh=GetHistoPin(ptmin,ptmax,pp,0.0);
249 sprintf(name,"P_{TOF} > 0.8: %f < p_{T} < %f GeV/#it{c}",ptmin,ptmax);
251 sprintf(name,"hPid60_%i",i);
252 h = hh->ProjectionX(name,cmin,cmax);
253 h->RebinX(rebinsize);
255 h->SetMarkerStyle(24);
258 Float_t chi2 = 10000;
259 while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
260 fit(h,b2[i],"WW","",xx[i]);
261 fit(h,b2[i],"","",xx[i]);
264 printf("chi2 = %f\n",chi2);
266 yy[i] = fall->GetParameter(parplotted);
267 eyy[i] = fall->GetParError(parplotted);
271 TGraphErrors *gpar2 = new TGraphErrors(nptbin,xx,yy,exx,eyy);
273 // gpar2->Draw("AP");
274 gpar2->SetMarkerStyle(20);
276 Double_t xpt[50],expt[50],eff[50],efferr[50];
277 for(Int_t i=0;i<nptbin;i++){
278 printf("%f +/- %f - %f +/- %f\n",b[i][0],b[i][1],b2[i][0],b2[i][1]);
280 Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
281 Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
283 xpt[i] = (ptmin+ptmax)/2;
284 expt[i] = (-ptmin+ptmax)/2;
285 eff[i] = b2[i][0]/(b[i][0]-b2[i][0]*weightS);
287 // b[i][0] = b[i][0]-b2[i][0]*weightS;
289 // efferr[i] = TMath::Sqrt(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]));
291 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]);
293 if(TMath::Abs(efferr[i]) > 1)efferr[i]=1;
296 TGraphErrors *geff = new TGraphErrors(nptbin,xpt,eff,expt,efferr);
303 if(selectTrue) sprintf(flag,"true");
304 else if(!keepTrue) sprintf(flag,"back");
307 Bool_t kWriteME = kFALSE;
313 sprintf(etarange,"_%.1f-%.1f_",etaminkp,etamaxkp);
319 sprintf(flag2,"BayesVsSigma");
322 sprintf(flag2,"Sigma2vs3");
325 sprintf(flag2,"OverAll");
327 sprintf(flag2,"OverAllTOF");
329 sprintf(flag2,"OverAll2sigma");
332 sprintf(flag2,"pid3sigma");
334 sprintf(flag2,"pid2sigma");
338 if(prob >=0.2) sprintf(name,"pionPos%sP%iEff%i_%i%s%s.root",etarange,Int_t(prob*100),(cmin-1)*10,cmax*10,flag,flag2);
340 sprintf(name,"pionPos%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2);
341 if(!(kOverAll || bayesVsigma || kGoodMatch || kSigma2vs3)) kWriteME = kTRUE;
345 if(prob >=0.2) sprintf(name,"pionNeg%sP%iEff%i_%i%s%s.root",etarange,Int_t(prob*100),(cmin-1)*10,cmax*10,flag,flag2);
346 else sprintf(name,"pionNeg%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2);
349 geff->SetTitle("#pi efficiency (from K^{0}_{s});p_{T} (GeV/#it{c};efficiency");
350 TFile *fout = new TFile(name,"RECREATE");
352 if(kWriteME) hm->Write();
355 if(kWriteME) hm->Draw("SAME");
358 TH2F *GetHistoPip(Float_t pt,Float_t ptM,Float_t pMinkp,Float_t pMinkn,Float_t etaminkp,Float_t etamaxkp){
360 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]};
361 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]};
366 if(pMinkp > 0.19) x2[9] = 4.9;
369 if(kOverAllTOFmatch && pMinkp > 0.19){
374 if(kOverAll2Sigma && pMinkp > 0.09){
409 if(require5sigma) x2[9] = 4.9;
410 if(kPid3Sigma && pMinkp>0.09) x2[9] = 2.9;
411 if(kPid2Sigma && pMinkp>0.09) x2[9] = 1.9;
413 printf("max sigma = %f\n",x2[9]);
415 AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid1;
417 TH2F *h = tmp->GetQA(0, x, x2);
419 h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
420 h->GetYaxis()->SetTitle("centrality [%]");
425 TH2F *GetHistoPin(Float_t pt,Float_t ptM,Float_t pMinkn,Float_t pMinkp,Float_t etaminkp,Float_t etamaxkp){
427 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]};
428 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]};
433 if(pMinkn > 0.19) x2[10] = 4.9;
436 if(kOverAllTOFmatch && pMinkn > 0.19){
441 if(kOverAll2Sigma && pMinkn > 0.09){
474 if(require5sigma) x2[10] = 4.9;
476 if(kPid3Sigma && pMinkn>0.09) x2[10] = 2.9;
477 if(kPid2Sigma && pMinkn>0.09) x2[10] = 1.9;
479 printf("max sigma = %f\n",x2[10]);
481 AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid2;
483 TH2F *h = tmp->GetQA(0, x, x2);
485 h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
486 h->GetYaxis()->SetTitle("centrality [%]");
491 void fit(TH1D *h,Float_t *a,char *opt,char *opt2,Float_t pt){
492 if(h->Integral(1,h->GetNbinsX()) < 1){
501 fall->SetParameter(0,100);
502 fall->SetParameter(1,0.4971);
503 fall->SetParameter(2,2.89748e-03);
504 fall->FixParameter(3,230+30/pt);
506 fall->SetParLimits(0,0.00001,1000000);
507 fall->SetParLimits(1,0.4965,0.4985);
508 fall->SetParLimits(2,0.0025,0.005);
509 //fall->SetParLimits(3,200,350);
511 fall->ReleaseParameter(4);
512 fall->ReleaseParameter(5);
515 fall->FixParameter(4,0);
516 fall->FixParameter(5,0);
517 fall->FixParameter(6,0);
519 fall->FixParameter(6,0);
523 sprintf(namenew,"%s_%i",h->GetName(),Int_t(gRandom->Rndm()*10000));
524 TH1D *h2 = new TH1D(*h);
525 h2->SetName(namenew);
527 // Float_t entries = h2->GetBinContent(h2->FindBin(0.497));
528 // printf("entries under the peak = %f, pt = %f\n",entries,pt);
532 if(pt < 2.8) h2->RebinX(2);
533 else if(pt < 3) h2->RebinX(4);
542 TF1 *ftmp2=new TF1(*fsign);
543 sprintf(name,"fsign%i",ifunc);
544 ftmp2->SetName(name);
546 TF1 *ftmp3=new TF1(*fback);
547 sprintf(name,"ftmp3%i",ifunc);
548 ftmp3->SetName(name);
552 h->Fit(ftmp,opt,opt2,fitmin,fitmax);
555 ftmp2->SetParameter(0,ftmp->GetParameter(0));
556 ftmp2->SetParameter(1,ftmp->GetParameter(1));
557 ftmp2->SetParameter(2,ftmp->GetParameter(2));
558 ftmp2->SetParameter(3,ftmp->GetParameter(3));
560 ftmp3->SetParameter(0,ftmp->GetParameter(4));
561 ftmp3->SetParameter(1,ftmp->GetParameter(5));
562 ftmp3->SetParameter(2,ftmp->GetParameter(6));
565 Float_t mean = ftmp->GetParameter(1);
566 Float_t sigma = TMath::Abs(ftmp->GetParameter(2));
568 Float_t signI = ftmp2->Integral(mean-10*sigma,mean+10*sigma)/h->GetBinWidth(1);
569 Float_t backI = ftmp3->Integral(mean-3*sigma,mean+3*sigma)/h->GetBinWidth(1);
571 if(signI < 0) signI = 0;
572 if(backI < 1) backI = 1;
574 Float_t errI = TMath::Sqrt(ftmp->GetParError(0)*ftmp->GetParError(0)/(0.001+ftmp->GetParameter(0))/(0.001+ftmp->GetParameter(0)));
576 printf("signal(5 sigma) = %f +/- %f(fit) +/- %f(stat)\n",signI,errI*signI,TMath::Sqrt(signI));
577 printf("backgr(3sigma) = %f\n",backI);
578 printf("significance(3 sigma) = %f\n",signI/sqrt(signI+backI));
582 a[1]=signI*errI*signI*errI + signI;
583 a[1] = TMath::Sqrt(a[1]);
584 if(ftmp->GetNDF()) a[2] = ftmp->GetChisquare()/ftmp->GetNDF();
588 a[0] = h->Integral(1,h->GetNbinsX());
589 a[1] = TMath::Sqrt(a[0]);
594 void AddHisto(TH2F *h1,TH2F *h2,Float_t w){
595 Int_t nbinx = h1->GetNbinsX();
596 Int_t nbiny = h1->GetNbinsY();
598 for(Int_t i=1;i<=nbinx;i++){
599 for(Int_t j=1;j<=nbiny;j++){
600 Double_t val = h1->GetBinContent(i,j) + h2->GetBinContent(i,j)*w;
601 Float_t err = TMath::Min(TMath::Sqrt(val),val);
602 h1->SetBinContent(i,j,val);
603 h1->SetBinError(i,j,err);