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[u/mrichter/AliRoot.git] / PWGPP / pid / doeffPi.C
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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
11Int_t LoadLib();
12void doeffPi(Int_t pos=1,Float_t prob=0.1,Float_t etaminkp=-0.8,Float_t etamaxkp=0.8);
13TH2F *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);
14TH2F *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);
bf2e05d5 15void fit(TH1D *h,Float_t *a=NULL,char *opt="",char *opt2="",Float_t pt=1.5);
7484404e 16void AddHisto(TH2F *h1,TH2F *h2,Float_t w);
17
a8ad4709 18TObject* fContPid1;
19TObject* fContPid2;
20const 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)
22Int_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*/};
23Float_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};
24Float_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
26TF1 *fsign;
27TF1 *fall;
28TF1 *fback;
29
30Int_t ifunc=0;
31
32Float_t fitmin = 0.3;
33Float_t fitmax = 0.7;
34
08b5b548 35Int_t cmin = 1; // min 1
36Int_t cmax = 10;//max 10
a8ad4709 37
38Float_t weightS = -1.;
39
7484404e 40Int_t rebinsize = 1;
a8ad4709 41
42Int_t parplotted = 2;
43
44Bool_t isMC = kFALSE; // don't change this (is set automatically)
45Bool_t selectTrue = kTRUE; // put it to true to remove background (only for MC)
46Bool_t keepTrue = kFALSE; // put it to false to fit only background (only for MC)
47
48Bool_t kGoodMatch = kFALSE; // to check good matching
49
50Bool_t kSigma2vs3 = kFALSE; // to check good matching
51
52Bool_t require5sigma = kFALSE; // don't touch this flag
53
54Bool_t bayesVsigma = kFALSE; // only to do checks
55
56Bool_t kTOFmatch = kFALSE; // for combined PID requires TOF matching
57
08b5b548 58Bool_t kOverAll = kFALSE;
e34b28fe 59Bool_t kOverAllTOFmatch = kFALSE;
08b5b548 60Bool_t kOverAll2Sigma = kFALSE;
e34b28fe 61
08b5b548 62TH2F *hmatched;
63TH2F *htracked;
a8ad4709 64
65Bool_t kLoaded=kFALSE;
7484404e 66
67Int_t LoadLib(){
a8ad4709 68 weightS = -1.;
69
bf2e05d5 70 require5sigma = kFALSE;
71
a8ad4709 72 if(! kLoaded){
73 gSystem->Load("libVMC.so");
74 gSystem->Load("libPhysics.so");
75 gSystem->Load("libTree.so");
76 gSystem->Load("libMinuit.so");
77 gSystem->Load("libSTEERBase.so");
78 gSystem->Load("libANALYSIS.so");
79 gSystem->Load("libAOD.so");
80 gSystem->Load("libESD.so");
81 gSystem->Load("libANALYSIS.so");
82 gSystem->Load("libANALYSISalice.so");
83 gSystem->Load("libCORRFW.so");
84 gSystem->Load("libNetx.so");
85 gSystem->Load("libPWGPPpid.so");
86
87 TFile *f = new TFile("AnalysisResults.root");
a8ad4709 88 TList *l = (TList *) f->Get("contK0sBayes1");
08b5b548 89 TList *l2 = (TList *) f->Get("contK0sBayes2");
7484404e 90
91 if(! (l && l2)) return 0;
92
08b5b548 93 fContPid1 = (AliPIDperfContainer *) l->FindObject("contPID");
94 fContPid2 = (AliPIDperfContainer *) l->FindObject("contPID2");
95 hmatched = (TH2F *) l2->FindObject("hMatchPi");
96 htracked = (TH2F *) l2->FindObject("hTrackingPi");
a8ad4709 97 }
98 kLoaded = kTRUE;
99
100 // check if MC
101 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]};
102 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]};
103
7484404e 104 AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid1;
a8ad4709 105 TH1D *h = tmp->GetQA(0, x, x2)->ProjectionX("checkMC");
106
107 if(h->GetEntries()) isMC = kTRUE;
108 else isMC=kFALSE;
109
110 if(!isMC){
111 selectTrue = kFALSE;
112 keepTrue = kTRUE;
113 }
114 else{
115 printf("MC truth found!!!!!!\nIt is MC!!!!!!");
116 }
117
bf2e05d5 118 fsign = new TF1("fsign","gaus(0) +0.5*[0]*TMath::Exp(-[3]*TMath::Abs(x-[1]))",fitmin,fitmax);
119 fback = new TF1("fback","pol2",fitmin,fitmax);
120 fall = new TF1("fall","gaus(0) +0.5*[0]*TMath::Exp(-[3]*TMath::Abs(x-[1])) + pol2(4)",fitmin,fitmax);
a8ad4709 121
122 fsign->SetLineColor(2);
123 fback->SetLineColor(4);
124
125 if(kSigma2vs3){
126 kGoodMatch=kFALSE;
127 kOverAll = 0;
128 }
129
130 if(bayesVsigma){
131 kOverAll = 0;
132 kGoodMatch=kFALSE;
133 kSigma2vs3=kFALSE;
134 kTOFmatch=kTRUE;
135 weightS = -0.7;
136 }
7484404e 137
138 return 1;
a8ad4709 139}
140
7484404e 141void doeffPi(Int_t pos,Float_t prob,Float_t etaminkp,Float_t etamaxkp){
a8ad4709 142 LoadLib();
08b5b548 143 TH1D *hm = hmatched->ProjectionX("matchingPiEff",cmin,cmax);
144 TH1D *ht = htracked->ProjectionX("tracking",cmin,cmax);
145
146 hm->GetYaxis()->SetTitle("TOF matching eff.");
147 hm->SetTitle("Using probability as weights");
148
149 hm->Sumw2();
150 ht->Sumw2();
151
152 hm->Divide(hm,ht,1,1,"B");
a8ad4709 153
154 Int_t nptbin = binPid[2];
155 Float_t minptbin = xmin[2];
156 Float_t maxptbin = xmax[2];
157
158 if(pos == 0){
159 nptbin = binPid[3];
160 minptbin = xmin[3];
161 maxptbin = xmax[3];
162 }
163
164 if(prob > 0.1999){
165 kGoodMatch = kFALSE;
166 kSigma2vs3 = kFALSE;
167 if(! kOverAll) require5sigma = kTRUE;
168 if(!isMC) weightS = -0.95;
169 }
170
7484404e 171 TCanvas *c1 = new TCanvas();
172 c1->Divide((nptbin+1)/2,2);
173 TH2F *hh,*hh2;
174 TH1D *h;
a8ad4709 175 char name[100];
176 Float_t b[50][3];
177
178 Double_t xx[50],yy[50];
179 Double_t exx[50],eyy[50];
180
181 for(Int_t i=0;i < nptbin;i++){
7484404e 182 c1->cd(i+1);//->SetLogy();
a8ad4709 183 Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
184 Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
185
186 xx[i] = (ptmin+ptmax)/2;
187 exx[i] = (-ptmin+ptmax)/2;
188
189 Float_t pp=0.1;
190 if(prob < 0.2) pp = 0.;
191 if(pos) hh=GetHistoPip(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp);
192 else hh=GetHistoPin(ptmin,ptmax,pp,0.0);
193 sprintf(name,"TOF matched: %f < p_{T} < %f GeV/#it{c}",ptmin,ptmax);
194 hh->SetTitle(name);
195 sprintf(name,"hNoPid%i",i);
196
197 pp=prob;
198 if(prob < 0.2) pp = 0.1;
199 if(pos) hh2=GetHistoPip(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp);
200 else hh2=GetHistoPin(ptmin,ptmax,pp,0.0);
201 AddHisto(hh,hh2,weightS);
202
203 h = hh->ProjectionX(name,cmin,cmax);
204 h->RebinX(rebinsize);
205 h->Draw("ERR");
206 h->SetMarkerStyle(24);
207 b[i][0]=-1;
208 Int_t ntrial = 0;
209 Float_t chi2 = 10000;
08b5b548 210 while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
bf2e05d5 211 fit(h,b[i],"WW","",xx[i]);
a8ad4709 212 c1->Update();
213// getchar();
bf2e05d5 214 fit(h,b[i],"","",xx[i]);
a8ad4709 215 ntrial++;
216 chi2 = b[i][2];
217 printf("chi2 = %f\n",chi2);
218 c1->Update();
219// getchar();
220
221 }
222
223 yy[i] = fall->GetParameter(parplotted);
224 eyy[i] = fall->GetParError(parplotted);
225 }
226
227 TGraphErrors *gpar = new TGraphErrors(nptbin,xx,yy,exx,eyy);
7484404e 228 c1->cd(8);
08b5b548 229// gpar->Draw("AP");
a8ad4709 230 gpar->SetMarkerStyle(20);
231
232 TCanvas *c2 = new TCanvas();
233 c2->Divide((nptbin+1)/2,2);
234 Float_t b2[50][3];
235
236 for(Int_t i=0;i < nptbin;i++){
237 c2->cd(i+1);
238 Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
239 Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
240
241 Float_t pp=prob;
242 if(prob < 0.2) pp = 0.1;
243 if(pos) hh=GetHistoPip(ptmin,ptmax,pp,0.0,etaminkp,etamaxkp);
244 else hh=GetHistoPin(ptmin,ptmax,pp,0.0);
245 sprintf(name,"P_{TOF} > 0.8: %f < p_{T} < %f GeV/#it{c}",ptmin,ptmax);
246 hh->SetTitle(name);
247 sprintf(name,"hPid60_%i",i);
248 h = hh->ProjectionX(name,cmin,cmax);
249 h->RebinX(rebinsize);
250 h->Draw("ERR");
251 h->SetMarkerStyle(24);
252 b2[i][0]=-1;
253 Int_t ntrial = 0;
254 Float_t chi2 = 10000;
08b5b548 255 while(ntrial < 3 && (chi2 > 20 + 1000*selectTrue)){
bf2e05d5 256 fit(h,b2[i],"WW","",xx[i]);
257 fit(h,b2[i],"","",xx[i]);
a8ad4709 258 ntrial++;
259 chi2 = b2[i][2];
260 printf("chi2 = %f\n",chi2);
261 }
262 yy[i] = fall->GetParameter(parplotted);
263 eyy[i] = fall->GetParError(parplotted);
264
265 }
266
267 TGraphErrors *gpar2 = new TGraphErrors(nptbin,xx,yy,exx,eyy);
268 c2->cd(8);
08b5b548 269// gpar2->Draw("AP");
a8ad4709 270 gpar2->SetMarkerStyle(20);
271
272 Double_t xpt[50],expt[50],eff[50],efferr[50];
273 for(Int_t i=0;i<nptbin;i++){
274 printf("%f +/- %f - %f +/- %f\n",b[i][0],b[i][1],b2[i][0],b2[i][1]);
275
276 Float_t ptmin = minptbin+(maxptbin-minptbin)/nptbin*(i);
277 Float_t ptmax = minptbin+(maxptbin-minptbin)/nptbin*(i+1);
278
279 xpt[i] = (ptmin+ptmax)/2;
280 expt[i] = (-ptmin+ptmax)/2;
281 eff[i] = b2[i][0]/(b[i][0]-b2[i][0]*weightS);
282
283 b[i][0] = b[i][0]-b2[i][0]*weightS;
284
285 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]));
286
287 if(TMath::Abs(efferr[i]) > 1)efferr[i]=1;
288 }
289 new TCanvas();
290 TGraphErrors *geff = new TGraphErrors(nptbin,xpt,eff,expt,efferr);
291 geff->Draw("AP");
292
293 char flag[100];
7484404e 294 flag[0] = '\0';
a8ad4709 295
296 if(isMC){
297 if(selectTrue) sprintf(flag,"true");
298 else if(!keepTrue) sprintf(flag,"back");
299 }
300
08b5b548 301 Bool_t kWriteME = kFALSE;
302
a8ad4709 303 char flag2[100];
7484404e 304 flag2[0] = '\0';
a8ad4709 305
306 char etarange[100];
307 sprintf(etarange,"_%.1f-%.1f_",etaminkp,etamaxkp);
308
309 if(kGoodMatch)
310 sprintf(flag2,"GM");
311
312 if(bayesVsigma)
313 sprintf(flag2,"BayesVsSigma");
314
315 if(kSigma2vs3)
316 sprintf(flag2,"Sigma2vs3");
317
318 if(kOverAll)
319 sprintf(flag2,"OverAll");
e34b28fe 320 if(kOverAllTOFmatch)
321 sprintf(flag2,"OverAllTOF");
322 if(kOverAll2Sigma)
323 sprintf(flag2,"OverAll2sigma");
a8ad4709 324
325 if(pos){
326 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);
08b5b548 327 else{
328 sprintf(name,"pionPos%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2);
329 if(!(kOverAll || bayesVsigma || kGoodMatch || kSigma2vs3)) kWriteME = kTRUE;
330 }
a8ad4709 331 }
332 else{
333 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);
334 else sprintf(name,"pionNeg%sMatchEff%i_%i%s%s.root",etarange,(cmin-1)*10,cmax*10,flag,flag2);
335 }
336
08b5b548 337 geff->SetTitle("#pi efficiency (from K^{0}_{s});p_{T} (GeV/#it{c};efficiency");
a8ad4709 338 TFile *fout = new TFile(name,"RECREATE");
339 geff->Write();
08b5b548 340 if(kWriteME) hm->Write();
a8ad4709 341 fout->Close();
342
08b5b548 343 if(kWriteME) hm->Draw("SAME");
a8ad4709 344}
345
7484404e 346TH2F *GetHistoPip(Float_t pt,Float_t ptM,Float_t pMinkp,Float_t pMinkn,Float_t etaminkp,Float_t etamaxkp){
a8ad4709 347
348 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)+0.001,kTOFmatch+0.001,selectTrue,xmin[9],xmin[10],xmin[11],xmin[12],xmin[13]};
349 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]};
350
e34b28fe 351 if(kOverAll){
352 x[6] = 0.0001;
353 x2[9] = 5.9;
354 if(pMinkp > 0.19) x2[9] = 4.9;
355 }
356
357 if(kOverAllTOFmatch && pMinkp > 0.19){
358 x[6] = 1.0001;
359 x2[9] = 4.9;
360 }
361
362 if(kOverAll2Sigma && pMinkp > 0.09){
08b5b548 363 x2[9] = 2.;
e34b28fe 364 x[6] = 1.0001;
365 }
366
a8ad4709 367 if(kGoodMatch){
368 x[6] = 1.0001;
369 if(pMinkp > 0)
370 x2[9] = 4.9;
371
372 }
373
374 if(kTOFmatch){
375 x[6] = 1.0001;
376 }
377
378 if(kSigma2vs3){
379 x[6] = 1.0001;
380 x2[9] = 3;
381 if(pMinkp > 0)
382 x2[9] = 2;
383 }
384
385 if(bayesVsigma){
386 if(pMinkp > 0){
387 x[4] = 0.2001;
388 x2[9] = 5;
389 }
390 else{
391 x2[9] = 3;
392 }
393
394
395 }
396
397 if(require5sigma) x2[9] = 4.9;
398
7484404e 399 AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid1;
a8ad4709 400
401 TH2F *h = tmp->GetQA(0, x, x2);
402
403 h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
404 h->GetYaxis()->SetTitle("centrality [%]");
405
406 return h;
407}
408
7484404e 409TH2F *GetHistoPin(Float_t pt,Float_t ptM,Float_t pMinkn,Float_t pMinkp,Float_t etaminkp,Float_t etamaxkp){
a8ad4709 410
411 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)+0.001,selectTrue,xmin[9],xmin[10],xmin[11],xmin[12],xmin[13]};
412 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]};
413
e34b28fe 414 if(kOverAll){
415 x[7] = 0.0001;
416 x2[10] = 5.9;
417 if(pMinkn > 0.19) x2[10] = 4.9;
418 }
419
420 if(kOverAllTOFmatch && pMinkn > 0.19){
421 x[7] = 1.0001;
422 x2[10] = 4.9;
423 }
424
425 if(kOverAll2Sigma && pMinkn > 0.09){
426 x2[10] = 2;
427 x[7] = 1.0001;
428 }
429
a8ad4709 430 if(kGoodMatch){
431 x[7] = 1.0001;
432 if(pMinkn > 0)
433 x2[10] = 4.9;
434
435 }
436
437 if(kTOFmatch){
438 x[7] = 1.0001;
439 }
440
441 if(kSigma2vs3){
442 x[7] = 1.0001;
443 x2[10] = 3;
444 if(pMinkn > 0)
445 x2[10] = 2;
446 }
447
448 if(bayesVsigma){
449 if(pMinkn > 0){
450 x[5] = 0.2001;
451 x2[10] = 5;
452 }
453 else{
454 x2[10] = 3;
455 }
456 }
457
458 if(require5sigma) x2[10] = 4.9;
459
7484404e 460 AliPIDperfContainer *tmp = (AliPIDperfContainer *) fContPid2;
a8ad4709 461
462 TH2F *h = tmp->GetQA(0, x, x2);
463
464 h->GetXaxis()->SetTitle("M_{K^{0}_{s}} (GeV/#it{c}^{2})");
465 h->GetYaxis()->SetTitle("centrality [%]");
466
467 return h;
468}
469
bf2e05d5 470void fit(TH1D *h,Float_t *a,char *opt,char *opt2,Float_t pt){
a8ad4709 471 if(h->Integral(1,h->GetNbinsX()) < 1){
472 if(a){
473 a[0]=0.001;
474 a[1]=1;
475 }
476 return;
477 }
478
479
480 fall->SetParameter(0,100);
481 fall->SetParameter(1,0.4971);
bf2e05d5 482 fall->SetParameter(2,2.89748e-03);
483 fall->FixParameter(3,230+30/pt);
a8ad4709 484
bf2e05d5 485 fall->SetParLimits(0,0.00001,1000000);
a8ad4709 486 fall->SetParLimits(1,0.4965,0.4985);
bf2e05d5 487 fall->SetParLimits(2,0.0025,0.005);
488 //fall->SetParLimits(3,200,350);
a8ad4709 489
490 fall->ReleaseParameter(4);
491 fall->ReleaseParameter(5);
492
493 if(selectTrue){
494 fall->FixParameter(4,0);
495 fall->FixParameter(5,0);
bf2e05d5 496 fall->FixParameter(6,0);
a8ad4709 497 }
498
499 char name[100];
500 TF1 *ftmp=fall;
501
502 TF1 *ftmp2=new TF1(*fsign);
503 sprintf(name,"fsign%i",ifunc);
504 ftmp2->SetName(name);
505
506 TF1 *ftmp3=new TF1(*fback);
507 sprintf(name,"ftmp3%i",ifunc);
508 ftmp3->SetName(name);
509
510 ifunc++;
511
512 h->Fit(ftmp,opt,opt2,fitmin,fitmax);
513 h->Draw("ERR");
514
515 ftmp2->SetParameter(0,ftmp->GetParameter(0));
516 ftmp2->SetParameter(1,ftmp->GetParameter(1));
517 ftmp2->SetParameter(2,ftmp->GetParameter(2));
518 ftmp2->SetParameter(3,ftmp->GetParameter(3));
519 ftmp2->Draw("SAME");
520 ftmp3->SetParameter(0,ftmp->GetParameter(4));
521 ftmp3->SetParameter(1,ftmp->GetParameter(5));
bf2e05d5 522 ftmp3->SetParameter(2,ftmp->GetParameter(6));
a8ad4709 523 ftmp3->Draw("SAME");
524
525 Float_t mean = ftmp->GetParameter(1);
bf2e05d5 526 Float_t sigma = TMath::Abs(ftmp->GetParameter(2));
a8ad4709 527
528 Float_t signI = ftmp2->Integral(mean-10*sigma,mean+10*sigma)/h->GetBinWidth(1);
529 Float_t backI = ftmp3->Integral(mean-3*sigma,mean+3*sigma)/h->GetBinWidth(1);
530
531 Float_t errI = TMath::Sqrt(ftmp->GetParError(0)*ftmp->GetParError(0)/(0.001+ftmp->GetParameter(0))/(0.001+ftmp->GetParameter(0)));
532
533 printf("signal(5 sigma) = %f +/- %f(fit) +/- %f(stat)\n",signI,errI*signI,TMath::Sqrt(signI));
534 printf("backgr(3sigma) = %f\n",backI);
535 printf("significance(3 sigma) = %f\n",signI/sqrt(signI+backI));
536
537 if(a){
538 a[0]=signI;
539 a[1]=signI*errI*signI*errI + signI;
540 a[1] = TMath::Sqrt(a[1]);
541 if(ftmp->GetNDF()) a[2] = ftmp->GetChisquare()/ftmp->GetNDF();
542
543
544 if(selectTrue){
545 a[0] = h->Integral(1,h->GetNbinsX());
546 a[1] = TMath::Sqrt(a[0]);
547 }
548 }
549}
550
7484404e 551void AddHisto(TH2F *h1,TH2F *h2,Float_t w){
a8ad4709 552 Int_t nbinx = h1->GetNbinsX();
553 Int_t nbiny = h1->GetNbinsY();
554
555 for(Int_t i=1;i<=nbinx;i++){
556 for(Int_t j=1;j<=nbiny;j++){
7484404e 557 Double_t val = h1->GetBinContent(i,j) + h2->GetBinContent(i,j)*w;
a8ad4709 558 Float_t err = TMath::Min(TMath::Sqrt(val),val);
559 h1->SetBinContent(i,j,val);
560 h1->SetBinError(i,j,err);
561 }
562 }
563}