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a9a39f46 | 1 | #if !defined(__CINT__) || defined(__MAKECINT__) |
2 | #include "TList.h" | |
3 | #include "TFile.h" | |
4 | #include "TStyle.h" | |
5 | #include "TH1F.h" | |
6 | #include "TH2F.h" | |
7 | #include "THnSparse.h" | |
8 | #include "TLegend.h" | |
9 | #include "TSystem.h" | |
10 | #include "TMath.h" | |
11 | #include "TCanvas.h" | |
12 | #include "TLegend.h" | |
13 | #include "TLatex.h" | |
14 | #include "TF1.h" | |
15 | #include "TLine.h" | |
16 | #include "TPaletteAxis.h" | |
17 | #include "TArrayD.h" | |
18 | #include "TGraphErrors.h" | |
19 | // | |
20 | // | |
21 | #endif | |
22 | #include "/home/shahoian/ALICE/mymacros/SaveCanvas.h" | |
23 | ||
24 | ||
25 | ||
26 | const char kHStatName[]="hStat"; | |
27 | double kEps = 1e-6; | |
28 | // | |
29 | double kdPhiBgTailMin = 0.1; // lower limit of dphi tail to use for bg normalization | |
30 | double kdPhiBgTailMax = 0.3; // upper limit of dphi tail to use for bg normalization | |
31 | // | |
32 | double kWDistBgTailMin = 5.; // lower limit of wgh.distance tail to use for bg normalization | |
33 | double kWDistBgTailMax = 25.; // upper limit of wgh.distance tail to use for bg normalization | |
34 | ||
35 | double kdPhiSgCut=-1; // cut in dphi-bent used to extract the signal, extracted from stat histo | |
36 | double kWDistSgCut=-1; // cut in w.distance used to extract the signal, extracted from stat histo | |
37 | // | |
38 | enum { kNormShapeDist, // normalize bg tails usig weighted distance shape | |
39 | kNormShapeDPhi, // normalize bg tails usig dPhi-bend shape | |
40 | kNormShapes}; | |
41 | ||
42 | enum { kSclWghMean, // normalize bg tails to data using weighted mean of bin-by-bin ratios | |
43 | kSclIntegral, // normalize bg tails to data using integral | |
44 | kSclTypes}; | |
45 | ||
46 | ||
47 | const char* figDir = "figMult"; | |
48 | TString useBgType = "Inj"; | |
49 | Int_t useShapeType = kNormShapeDist; // which distribution to use for bg normalization | |
50 | Bool_t useMCLB = kFALSE; // use Comb MC Labels as a template for Bg. | |
51 | Int_t useScaleType = kSclIntegral;//kSclWghMean; // which type of tails normalization to use | |
52 | const double kEtaFitRange = 0.5; | |
53 | ||
54 | enum {kBitNormPerEvent=BIT(14)}; | |
55 | // bins for saved parameters in the hStat histo | |
56 | enum {kDummyBin, | |
57 | kEvTot, // events read | |
58 | kOneUnit, // just 1 to track primate merges | |
59 | kNWorkers, // n workers | |
60 | // | |
61 | kDPhi, // dphi window | |
62 | kDTht, // dtheta window | |
63 | kNStd, // N.standard deviations to keep | |
64 | kPhiShift, // bending shift | |
65 | kThtS2, // is dtheta scaled by 1/sin^2 | |
66 | kThtCW, // on top of w.dist cut cut also on 1 sigma dThetaX | |
67 | kPhiOvl, // overlap params | |
68 | kZEtaOvl, // overlap params | |
69 | kNoOvl, // flag that overlap are suppressed | |
70 | // | |
71 | kPhiRot, // rotation phi | |
72 | kInjScl, // injection scaling | |
73 | kEtaCut, // eta cut | |
74 | kZVMin, // min ZVertex to process | |
75 | kZVMax, // max ZVertex to process | |
76 | // | |
77 | kDPiSCut, // cut on dphi used to extract signal (when WDist is used in analysis, put it equal to kDPhi | |
78 | kNStdCut, // cut on weighted distance (~1) used to extract signal | |
79 | // | |
80 | kMCV0Scale, // scaling value for V0 in MC | |
81 | // | |
82 | // here we put entries for each mult.bin | |
83 | kBinEntries = 50, | |
84 | kEvProcData, // events with data mult.object (ESD or reco) | |
85 | kEvProcInj, // events Injected, total | |
86 | kEvProcRot, // events Rotated | |
87 | kEvProcMix, // events Mixed | |
88 | kEntriesPerBin | |
89 | }; | |
90 | ||
91 | ||
92 | enum {kSigCorr,kMCPrim,kRawDtCut,kSignalEst,kSignalEstMC,kBgEst,k1MBeta,k1MBetaMC,kAlpha,kAlphaMC,kBgMC,kBgRescFc,kDataDist,kBgDist,kBgMCDist, kMCShift=20, kNHistos=kMCShift+kMCShift}; | |
93 | ||
94 | void CorrectSpectraMulti(const char* flNameData, const char* flNameMC,const char* unique=""); | |
95 | Bool_t PrepareHistos(int bin, TList* lst, Bool_t isMC); | |
96 | void ProcessHistos(int bin); | |
97 | TH1* NormalizeBg(TH1* dataH, TH1* bgH, double &scl, double &scle); | |
98 | TObject* FindObject(int bin, const char* nameH, const TList* lst, Bool_t normPerEvent=kTRUE); | |
99 | TList* LoadList(const char* flName, const char* addPref, const char* nameL="clist"); | |
100 | void GetRatE(double x,double xe, double y,double ye, double &rat, double &rate); | |
101 | Int_t CheckStat(const TList* lst,const char* dtType); | |
102 | void Integrate(TH1* hist, double xmn,double xmx, double &val, double& err); | |
103 | void CropHisto(TH1* histo, int b00, int b01, int b10=-1, int b11=-1); | |
104 | void CropHisto(TH1* histo, double b00, double b01, double b10=-1, double b11=-1); | |
105 | void GetRealMinMax(TH1* h, double &vmn, double &vmx); | |
106 | const char* HName(const char* prefix,const char* htype); | |
107 | ||
108 | void PlotResults(); | |
109 | void PlotDNDEta(int bin); | |
110 | void PlotAlphaBeta(int bin); | |
111 | void PlotSpecies(); | |
112 | ||
113 | Float_t myMergeFactor = -1; // if the files were manually merged, scale everything except statistics by 1/myMergeFactor | |
114 | Int_t nCentBins = -1; | |
115 | TList *listDt=0, *listMC=0; | |
116 | TObjArray resArr; | |
117 | char outStr[1000]; | |
118 | char outTitle[1000]; | |
119 | TString uniqueName=""; | |
120 | // | |
121 | TArrayD dNdEta,dNdEtaErr; | |
122 | TCanvas *canvFin=0; | |
123 | // | |
124 | Bool_t creatDnDEtaCMacro = kFALSE; | |
125 | Bool_t creatAlphaBetaCMacro = kFALSE; | |
126 | Bool_t creatSpeciesCMacro = kFALSE; | |
127 | ||
128 | void CorrectSpectraMulti(const char* flNameData, const char* flNameMC, const char* uniqueNm) | |
129 | { | |
130 | // | |
131 | uniqueName = uniqueNm; | |
132 | listDt = LoadList(flNameData,"dt_"); | |
133 | listMC = LoadList(flNameMC,"mc_"); | |
134 | // | |
135 | resArr.Clear(); | |
136 | // | |
137 | TH1* hstat = (TH1*)FindObject(-1,kHStatName,listDt,kFALSE); | |
138 | // | |
139 | int nbstat = hstat->GetNbinsX(); | |
140 | nCentBins = (nbstat - kBinEntries)/kEntriesPerBin; | |
141 | printf("%d bins will be processed\n",nCentBins); | |
142 | if (nCentBins<1) return; | |
143 | myMergeFactor = hstat->GetBinContent(kOneUnit); | |
144 | printf("Detected %f mergings\n",myMergeFactor); | |
145 | // | |
146 | dNdEta.Set(nCentBins); | |
147 | dNdEtaErr.Set(nCentBins); | |
148 | // | |
149 | kdPhiSgCut = hstat->GetBinContent(kDPiSCut)/myMergeFactor; | |
150 | kWDistSgCut = hstat->GetBinContent(kNStdCut)/myMergeFactor; | |
151 | printf("Signal cuts used: dPhiS: %f WDist:%f\n",kdPhiSgCut,kWDistSgCut); | |
152 | // | |
153 | for (int ib=0;ib<nCentBins;ib++) { | |
154 | if (!PrepareHistos(ib,listMC,kTRUE)) return; | |
155 | if (!PrepareHistos(ib,listDt,kFALSE)) return; | |
156 | ProcessHistos(ib); | |
157 | // | |
158 | } | |
159 | // | |
160 | sprintf(outStr,"CutEta%.1f_Zv%.1f_%.1f_bg%s_Shape_%s_mcLB%d_cutSig%.1f_cutBg%.1f", | |
161 | hstat->GetBinContent(kEtaCut)/myMergeFactor, | |
162 | hstat->GetBinContent(kZVMin)/myMergeFactor, | |
163 | hstat->GetBinContent(kZVMax)/myMergeFactor, | |
164 | useBgType.Data(), | |
165 | useShapeType==kNormShapeDist ? "wdst":"dphi", | |
166 | useMCLB, | |
167 | useShapeType==kNormShapeDist ? kWDistSgCut:kdPhiSgCut, | |
168 | useShapeType==kNormShapeDist ? kWDistBgTailMin:kdPhiBgTailMin); | |
169 | // | |
170 | PlotResults(); | |
171 | // | |
172 | printf("Final Results:\n"); | |
173 | printf("dNdEta: "); | |
174 | for (int i=nCentBins;i--;) printf("%.2f,",dNdEta[i]); printf("\n"); | |
175 | printf("dNdEtaErr: "); | |
176 | for (int i=nCentBins;i--;) printf("%.2f,",dNdEtaErr[i]); printf("\n"); | |
177 | ||
178 | } | |
179 | ||
180 | //_____________________________________________________________________ | |
181 | Bool_t PrepareHistos(int bin, TList* lst, Bool_t isMC) | |
182 | { | |
183 | // fill standard histos for given bin | |
184 | // | |
185 | char buffn[500]; | |
186 | char bufft[500]; | |
187 | // | |
188 | double cutBgMin,cutBgMax; | |
189 | double cutSgMin,cutSgMax; | |
190 | // | |
191 | if (useShapeType==kNormShapeDist) { | |
192 | cutBgMin = kWDistBgTailMin; | |
193 | cutBgMax = kWDistBgTailMax; | |
194 | // | |
195 | cutSgMin = 0; | |
196 | cutSgMax = kWDistSgCut; | |
197 | } | |
198 | else { | |
199 | cutBgMin = kdPhiBgTailMin; | |
200 | cutBgMax = kdPhiBgTailMax; | |
201 | // | |
202 | cutSgMin = 0; | |
203 | cutSgMax = kdPhiSgCut; | |
204 | } | |
205 | // | |
206 | const char* zeCut = "ZvEtaCutT"; | |
207 | TObjArray* res = &resArr; | |
208 | int shift = bin*kNHistos + (isMC ? kMCShift : 0); | |
209 | // | |
210 | // histo for "data" Z vs Eta with default signal cut | |
211 | TH2* hRawDtCut = (TH2*) FindObject(bin,HName("Data",zeCut),lst); | |
212 | if (!hRawDtCut) return kFALSE; | |
213 | sprintf(buffn,"bin%d_%s_RawWithCut",bin,isMC ? "mc":"dt"); | |
214 | sprintf(bufft,"bin%d %s Raw Data with cut on tracklets",bin,isMC ? "mc":"dt"); | |
215 | hRawDtCut = (TH2*)hRawDtCut->Clone(buffn); | |
216 | hRawDtCut->SetTitle(bufft); | |
217 | res->AddAtAndExpand(hRawDtCut, kRawDtCut+shift); | |
218 | // | |
219 | int nbEta = hRawDtCut->GetXaxis()->GetNbins(); | |
220 | int nbZV = hRawDtCut->GetYaxis()->GetNbins(); | |
221 | // | |
222 | // "Data - Est.Bg" histo with cut on tails where we look for signal | |
223 | sprintf(buffn,"bin%d_%s_SignalWithCut",bin,isMC ? "mc":"dt"); | |
224 | sprintf(bufft,"bin%d %s Signal (raw-bg) with cut on tracklets",bin,isMC ? "mc":"dt"); | |
225 | TH2* hSignalEst = (TH2F*)hRawDtCut->Clone(buffn); | |
226 | hSignalEst->SetTitle(bufft); | |
227 | res->AddAtAndExpand(hSignalEst, kSignalEst+shift); | |
228 | // | |
229 | // "Data - MC.Bg" histo with cut on tails where we look for signal | |
230 | TH2* hSignalEstMC = 0; | |
231 | if (isMC) { | |
232 | sprintf(buffn,"bin%d_%s_SignalWithCut_bgMCLabels",bin,isMC ? "mc":"dt"); | |
233 | sprintf(bufft,"bin%d %s Signal (raw-bg_MCLabels) with cut on tracklets",bin,isMC ? "mc":"dt"); | |
234 | hSignalEstMC = (TH2F*)hRawDtCut->Clone(buffn); | |
235 | hSignalEstMC->SetTitle(bufft); | |
236 | res->AddAtAndExpand(hSignalEstMC, kSignalEstMC+shift); | |
237 | } | |
238 | // | |
239 | // Estimated background in the cut range | |
240 | sprintf(buffn,"bin%d_%s_BgEst",bin,isMC ? "mc":"dt"); | |
241 | sprintf(bufft,"bin%d %s Estimated Bg",bin,isMC ? "mc":"dt"); | |
242 | TH2* hBgEst = (TH2*) FindObject(bin,HName(useBgType.Data(),zeCut),lst); | |
243 | if (!hBgEst) return kFALSE; | |
244 | hBgEst = (TH2*)hBgEst->Clone(buffn); | |
245 | hBgEst->SetTitle(bufft); | |
246 | res->AddAtAndExpand(hBgEst,kBgEst +shift); | |
247 | // | |
248 | // special feature: use MC Labels bg as a shape instead of generated bg | |
249 | /* | |
250 | if (useMCLB) { | |
251 | TString nm = hBgEst->GetName(); nm += "_MCLB"; | |
252 | TString tit = hBgEst->GetTitle(); tit += "_MCLB"; | |
253 | TH2* hBMCLB = (TH2*) FindObject(bin,HName("Comb",zeCut),listMC); | |
254 | if (!hBMCLB) return kFALSE; | |
255 | hBMCLB = (TH2F*)hBMCLB->Clone(nm.Data()); | |
256 | hBMCLB->SetTitle(tit.Data()); | |
257 | delete hBgEst; | |
258 | hBgEst = hBMCLB; | |
259 | res->AddAtAndExpand(hBgEst,kBgEst +shift); | |
260 | } | |
261 | */ | |
262 | // | |
263 | // 1-beta for "data" = (Data_cut - Bg_cut) / Data_cut | |
264 | sprintf(buffn,"bin%d_%s_1mBeta",bin,isMC ? "mc":"dt"); | |
265 | sprintf(bufft,"bin%d %s 1-#beta with estimated bg",bin,isMC ? "mc":"dt"); | |
266 | TH2* h1mBeta = (TH2*)hBgEst->Clone(buffn); | |
267 | h1mBeta->SetTitle(bufft); | |
268 | h1mBeta->Reset(); | |
269 | res->AddAtAndExpand(h1mBeta, k1MBeta+shift); | |
270 | // | |
271 | // If MC labels info is provided, prepare 1-beta with MC bg | |
272 | TH2* h1mBetaMC = 0; // 1-beta for MC with bg from labels | |
273 | TH2* hBgMC = 0; // bg from MC labels | |
274 | if (isMC) { | |
275 | sprintf(buffn,"bin%d_%s_BgMC",bin,isMC ? "mc":"dt"); | |
276 | sprintf(bufft,"bin%d %s Bg from MC labels",bin,isMC ? "mc":"dt"); | |
277 | hBgMC = (TH2*) FindObject(bin,HName("Comb",zeCut),listMC); | |
278 | if (!hBgMC) return kFALSE; | |
279 | hBgMC = (TH2F*)hBgMC->Clone(buffn); | |
280 | hBgMC->SetTitle(bufft); | |
281 | res->AddAtAndExpand(hBgMC, kBgMC+shift); | |
282 | // | |
283 | sprintf(buffn,"bin%d_%s_h1mBetaMC",bin,isMC ? "mc":"dt"); | |
284 | sprintf(bufft,"bin%d %s 1-#beta with bg. from MC labels",bin,isMC ? "mc":"dt"); | |
285 | h1mBetaMC = (TH2F*) hBgMC->Clone(buffn); | |
286 | h1mBetaMC->SetTitle(bufft); | |
287 | res->AddAtAndExpand(h1mBetaMC, k1MBetaMC+shift); | |
288 | h1mBetaMC->Divide(hRawDtCut); | |
289 | for (int ib0=1;ib0<=nbEta;ib0++) | |
290 | for (int ib1=1;ib1<=nbZV;ib1++) | |
291 | h1mBetaMC->SetBinContent(ib0,ib1, 1.- h1mBetaMC->GetBinContent(ib0,ib1)); | |
292 | // | |
293 | hSignalEstMC->Add(hBgMC,-1); | |
294 | } | |
295 | // | |
296 | // uncut w.distance or dphi distribution for data | |
297 | TH1* hDstDt = (TH1*) FindObject(bin,HName("Data",useShapeType==kNormShapeDist ? "WDist":"DPhiS"),lst); | |
298 | if (!hDstDt) return kFALSE; | |
299 | sprintf(buffn,"bin%d_%s_DistRawData",bin,isMC ? "mc":"dt"); | |
300 | sprintf(bufft,"bin%d %s Raw Distance for Data",bin,isMC ? "mc":"dt"); | |
301 | hDstDt = (TH1*) hDstDt->Clone(buffn); | |
302 | hDstDt->SetTitle(bufft); | |
303 | double nrmDst,dumErr = 0; | |
304 | Integrate(hDstDt, cutBgMin,cutBgMax, nrmDst, dumErr); | |
305 | hDstDt->Scale(1./nrmDst); | |
306 | res->AddAtAndExpand(hDstDt, kDataDist+shift); | |
307 | // | |
308 | // uncut w.distance or dphi distribution for generated bg | |
309 | TH1* hDstBg = (TH1*) FindObject(bin,HName(useBgType.Data(),useShapeType==kNormShapeDist ? "WDist":"DPhiS"),lst); | |
310 | if (!hDstBg) return kFALSE; | |
311 | sprintf(buffn,"bin%d_%s_DistRawGenBgNorm",bin,isMC ? "mc":"dt"); | |
312 | sprintf(bufft,"bin%d %s Raw Distance for Gen.Bg. Normalized to data",bin,isMC ? "mc":"dt"); | |
313 | hDstBg = (TH1*) hDstBg->Clone(buffn); | |
314 | hDstBg->SetTitle(bufft); | |
315 | hDstBg->Scale(1./nrmDst); | |
316 | // res->AddAtAndExpand(hDstBg, kBgDist+shift); | |
317 | // | |
318 | if (useMCLB) { // use MC dist. shape as a template | |
319 | TH1* mcshp = (TH1*) FindObject(bin,HName("Comb",useShapeType==kNormShapeDist ? "WDist":"DPhiS"),listMC); | |
320 | double nrm1 = hDstBg->Integral(); | |
321 | double nrmMC = mcshp->Integral(); | |
322 | sprintf(buffn,"bin%d_%s_DistRawGenBgNormMCLB",bin,isMC ? "mc":"dt"); | |
323 | sprintf(bufft,"bin%d %s Raw Distance for Gen.Bg. Normalized to data MCLB",bin,isMC ? "mc":"dt"); | |
324 | if (hDstBg) delete hDstBg; | |
325 | hDstBg = (TH1*) mcshp->Clone(buffn); | |
326 | hDstBg->SetTitle(bufft); | |
327 | hDstBg->Scale(nrm1/nrmMC); | |
328 | } | |
329 | // | |
330 | // uncut w.distance or dphi distribution for comb. MC labels | |
331 | TH1* hDstBgMC = 0; | |
332 | if (isMC) { | |
333 | hDstBgMC = (TH1*) FindObject(bin,HName("Comb",useShapeType==kNormShapeDist ? "WDist":"DPhiS"),lst); | |
334 | if (!hDstBgMC) return kFALSE; | |
335 | sprintf(buffn,"bin%d_%s_DistBgMC",bin,isMC ? "mc":"dt"); | |
336 | sprintf(bufft,"bin%d %s Bg. Distance from MC labels",bin,isMC ? "mc":"dt"); | |
337 | hDstBgMC = (TH1*) hDstBgMC->Clone(buffn); | |
338 | hDstBgMC->SetTitle(bufft); | |
339 | hDstBgMC->Scale(1./nrmDst); | |
340 | res->AddAtAndExpand(hDstBgMC, kBgMCDist+shift); | |
341 | } | |
342 | // | |
343 | // fill 1-beta matrix | |
344 | double scl,sclE; | |
345 | hDstBg = NormalizeBg(hDstDt,hDstBg,scl,sclE); // get rescaling factor for bg. from tails comparison | |
346 | res->AddAtAndExpand(hDstBg, kBgDist+shift); | |
347 | double bgVal,bgErr; | |
348 | double dtVal,dtErr; | |
349 | // integral in the range where we look for signal | |
350 | Integrate(hDstBg, cutSgMin, cutSgMax, bgVal, bgErr); | |
351 | Integrate(hDstDt, cutSgMin, cutSgMax, dtVal, dtErr); | |
352 | double sclb,sclbErr; | |
353 | GetRatE(bgVal,bgErr, dtVal, dtErr,sclb,sclbErr); | |
354 | // hDstBg->Scale(1./nrmDst); | |
355 | // | |
356 | // finalize estimated bg and signal matrices | |
357 | hBgEst->Scale(scl); | |
358 | // | |
359 | hSignalEst->Add(hBgEst,-1); | |
360 | // | |
361 | // finalize 1-beta | |
362 | for (int ib0=1;ib0<=nbEta;ib0++) { // eta | |
363 | for (int ib1=1;ib1<=nbZV;ib1++) { // zv | |
364 | // printf("Bin %d %d\n",ib0,ib1); | |
365 | double bg = hBgEst->GetBinContent(ib0,ib1); | |
366 | double bgE = hBgEst->GetBinError(ib0,ib1); | |
367 | double dt = hRawDtCut->GetBinContent(ib0,ib1); | |
368 | double dtE = hRawDtCut->GetBinError(ib0,ib1); | |
369 | double beta,betaE; | |
370 | GetRatE(bg,bgE,dt,dtE, beta,betaE ); | |
371 | h1mBeta->SetBinContent(ib0,ib1,1.-beta); | |
372 | h1mBeta->SetBinError(ib0,ib1,betaE); | |
373 | // | |
374 | } | |
375 | } | |
376 | // | |
377 | if (isMC) { | |
378 | // prepare MC primary signal histo | |
379 | sprintf(buffn,"bin%d_zvEtaPrimMC",bin); | |
380 | sprintf(bufft,"bin%d MC True signal Zv vs Eta",bin); | |
381 | TH2F* mcPrim = (TH2F*)FindObject(bin,"zvEtaPrimMC", lst ); | |
382 | mcPrim = (TH2F*) mcPrim->Clone(buffn); | |
383 | mcPrim->SetTitle(bufft); | |
384 | res->AddAtAndExpand(mcPrim, kMCPrim + shift); | |
385 | } | |
386 | // | |
387 | return kTRUE; | |
388 | } | |
389 | ||
390 | //_____________________________________________________________________ | |
391 | void ProcessHistos(int bin) | |
392 | { | |
393 | // | |
394 | int shift = bin*kNHistos; | |
395 | // | |
396 | TString prefN = "bin"; prefN += bin; prefN+="_"; | |
397 | TString prefT = "bin"; prefT += bin; prefT+=" "; | |
398 | TObjArray* res = &resArr; | |
399 | // build alpha matrix | |
400 | TH2* halp = (TH2*)res->At(shift + kMCShift + kMCPrim); | |
401 | halp = (TH2*) halp->Clone(prefN+"Alpha"); | |
402 | halp->SetTitle(prefN+"#alpha"); | |
403 | halp->Divide( (TH2*)res->At(shift + kMCShift + k1MBeta) ); | |
404 | halp->Divide( (TH2*)res->At(shift + kMCShift + kRawDtCut) ); | |
405 | res->AddAtAndExpand(halp, shift + kAlpha); | |
406 | // | |
407 | // build alpha matrix with MC labels bg | |
408 | TH2* halpMC = (TH2*)res->At(shift + kMCShift + kMCPrim); | |
409 | halpMC = (TH2*) halpMC->Clone(prefN + "AlphaMC"); | |
410 | halpMC->SetTitle(prefT + "#alpha MC labels"); | |
411 | halpMC->Divide( (TH2*)res->At(shift + kMCShift + k1MBetaMC) ); | |
412 | halpMC->Divide( (TH2*)res->At(shift + kMCShift + kRawDtCut) ); | |
413 | res->AddAtAndExpand(halpMC, shift + kAlphaMC); | |
414 | // | |
415 | // build corrected signal | |
416 | TH2* hsigCorr = (TH2*)res->At(shift + kSignalEst); | |
417 | hsigCorr = (TH2*) hsigCorr->Clone(prefN + "SignalEstCorr"); | |
418 | hsigCorr->SetTitle(prefT + "Corrected Signal"); | |
419 | hsigCorr->Multiply( halp ); | |
420 | res->AddAtAndExpand(hsigCorr, shift + kSigCorr); | |
421 | // | |
422 | TH1* hsigCorrX = hsigCorr->ProjectionX("DataCorrSignalX"); | |
423 | hsigCorrX->Scale(1./hsigCorr->GetBinWidth(1)); | |
424 | TF1* pl0 = new TF1("pl0","pol0"); | |
425 | pl0->SetParameter(0,hsigCorr->GetMinimum()); | |
426 | hsigCorrX->Fit(pl0,"q0","",-kEtaFitRange,kEtaFitRange); | |
427 | double fval = pl0->GetParameter(0); | |
428 | double ferr = pl0->GetParError(0); | |
429 | delete hsigCorrX; | |
430 | dNdEta[bin] = fval; | |
431 | dNdEtaErr[bin] = ferr; | |
432 | printf("Bin %d: dN/d#eta_{|#eta|<0.5} = %.2f %.2f\n",bin, fval,ferr); | |
433 | // | |
434 | } | |
435 | ||
436 | void PlotResults() | |
437 | { | |
438 | TString psnm1 = figDir; psnm1 += "/"; psnm1 += uniqueName; | |
439 | psnm1 += "_"; psnm1 += nCentBins; psnm1+= "bins_"; | |
440 | psnm1 += outStr; psnm1 += ".ps"; | |
441 | TString psnm0 = psnm1.Data(); | |
442 | psnm0 += "["; | |
443 | TString psnm2 = psnm1.Data(); | |
444 | psnm2 += "]"; | |
445 | // | |
446 | TH1* hstat = (TH1*)FindObject(-1,kHStatName,listDt,kFALSE); | |
447 | // | |
448 | TH1* hbins = (TH1*)FindObject(-1,"EvCentr",listDt,kFALSE); | |
449 | // | |
450 | if (!canvFin) canvFin = new TCanvas("canvFin", "canvFin",0,50,700,1000); | |
451 | canvFin->Clear(); | |
452 | // | |
453 | canvFin->Print(psnm0.Data()); | |
454 | // | |
455 | canvFin->Divide(1,2); | |
456 | canvFin->cd(1); | |
457 | gPad->SetLeftMargin(0.15); | |
458 | TGraphErrors* grp = new TGraphErrors(nCentBins); | |
459 | for (int i=0;i<nCentBins;i++) { | |
460 | grp->SetPoint(i,hbins->GetBinCenter(i+1),dNdEta[i]); | |
461 | grp->SetPointError(i,hbins->GetBinWidth(i+1)/2,dNdEtaErr[i]); | |
462 | } | |
463 | grp->SetMarkerStyle(20); | |
464 | grp->SetMarkerColor(kRed); | |
465 | grp->SetLineColor(kRed); | |
466 | grp->SetMinimum(1e-6); | |
467 | grp->Draw("ap"); | |
468 | grp->GetXaxis()->SetTitle("Centrality Variable"); | |
469 | grp->GetYaxis()->SetTitle("dN/d#eta_{|#eta|<0.5}"); | |
470 | grp->GetYaxis()->SetTitleOffset(1.8); | |
471 | gPad->SetGrid(1,1); | |
472 | // | |
473 | canvFin->cd(2); | |
474 | gPad->SetLeftMargin(0.15); | |
475 | hbins->Draw(); | |
476 | hbins->SetMinimum(1e-6); | |
477 | hbins->SetMarkerStyle(20); | |
478 | hbins->SetMarkerColor(kRed); | |
479 | hbins->SetLineColor(kRed); | |
480 | hbins->GetYaxis()->SetTitle("accepted events"); | |
481 | hbins->GetYaxis()->SetTitleOffset(1.8); | |
482 | gPad->SetGrid(1,1); | |
483 | // | |
484 | canvFin->cd(0); | |
485 | canvFin->Print(psnm1.Data()); | |
486 | // | |
487 | const TArrayD &binArr = *hbins->GetXaxis()->GetXbins(); | |
488 | // | |
489 | for (int i=0;i<nCentBins;i++) { | |
490 | // | |
491 | sprintf(outTitle,"%s, %d<c<%d, |#eta|<%.1f, %.1f<Z_{V}<%.1f, Bg.:%s, UseMCLB=%d, CutVar:%s, |sig|<%.2f, %.2f<|bg.nrm|<%.2f", | |
492 | uniqueName.Data(), | |
493 | (int)binArr[i],(int)binArr[i+1], | |
494 | hstat->GetBinContent(kEtaCut)/myMergeFactor, | |
495 | hstat->GetBinContent(kZVMin)/myMergeFactor, | |
496 | hstat->GetBinContent(kZVMax)/myMergeFactor, | |
497 | useBgType.Data(), | |
498 | useMCLB, | |
499 | useShapeType==kNormShapeDist ? "#Delta":"#Delta#varphi-#delta_{#varphi}", | |
500 | useShapeType==kNormShapeDist ? kWDistSgCut:kdPhiSgCut, | |
501 | useShapeType==kNormShapeDist ? kWDistBgTailMin : kdPhiBgTailMin, | |
502 | useShapeType==kNormShapeDist ? kWDistBgTailMax : kdPhiBgTailMax | |
503 | ); | |
504 | // | |
505 | PlotDNDEta(i); | |
506 | canvFin->Print(psnm1.Data()); | |
507 | PlotAlphaBeta(i); | |
508 | canvFin->Print(psnm1.Data()); | |
509 | } | |
510 | PlotSpecies(); | |
511 | canvFin->Print(psnm1.Data()); | |
512 | // | |
513 | canvFin->Print(psnm2.Data()); | |
514 | } | |
515 | ||
516 | void PlotDNDEta(int bin) | |
517 | { | |
518 | // | |
519 | TObjArray *res = &resArr; | |
520 | TString prefN = "bin"; prefN += bin; prefN+="_"; | |
521 | int shift = bin*kNHistos; | |
522 | // | |
523 | char buff[1000]; | |
524 | // eta range | |
525 | gStyle->SetOptFit(0); | |
526 | gStyle->SetOptStat(0); | |
527 | gStyle->SetOptTitle(0); | |
528 | double mn = 1e6,mx = -1e6; | |
529 | if (!canvFin) canvFin = new TCanvas("canvFin", "canvFin",0,50,700,1000); | |
530 | canvFin->Clear(); | |
531 | canvFin->Divide(1,2); | |
532 | canvFin->cd(1); | |
533 | gPad->SetLeftMargin(0.15); | |
534 | // | |
535 | // corrected data | |
536 | TH1* hsigCorr = ((TH2F*)res->At(shift + kSigCorr))->ProjectionX(prefN+"DataCorrSignal"); | |
537 | SetHStyle(hsigCorr,kRed,20,1.0); | |
538 | hsigCorr->Scale(1./hsigCorr->GetBinWidth(1)); | |
539 | hsigCorr->Draw(); | |
540 | mx = TMath::Max(mx, hsigCorr->GetMaximum()); | |
541 | mn = TMath::Min(mn, hsigCorr->GetMinimum()); | |
542 | char ftres[1000]; | |
543 | sprintf(ftres,"dN/d#eta_{|#eta|<%.1f} = %.1f #pm %.1f",kEtaFitRange,dNdEta[bin],dNdEtaErr[bin]); | |
544 | TLatex *txfit = new TLatex(-0.2,hsigCorr->GetMinimum()*0.9, ftres); | |
545 | txfit->SetTextSize(0.04); | |
546 | txfit->Draw(); | |
547 | // | |
548 | // raw data | |
549 | TH1* hraw = ((TH2F*)res->At(shift+kRawDtCut))->ProjectionX(prefN+"DataRaw"); | |
550 | SetHStyle(hraw,kRed,21,1.0); | |
551 | hraw->Scale(1./hraw->GetBinWidth(1)); | |
552 | hraw->Draw("same"); | |
553 | mn = TMath::Min(mn, hraw->GetMinimum()); | |
554 | mx = TMath::Max(mx, hraw->GetMaximum()); | |
555 | // | |
556 | // raw data bg sub | |
557 | TH1* hraws = ((TH2F*)res->At(shift+kSignalEst))->ProjectionX(prefN+"DataRawSub"); | |
558 | SetHStyle(hraws,kRed,23,1.0); | |
559 | hraws->Scale(1./hraw->GetBinWidth(1)); | |
560 | hraws->Draw("same"); | |
561 | mn = TMath::Min(mn, hraw->GetMinimum()); | |
562 | mx = TMath::Max(mx, hraw->GetMaximum()); | |
563 | // | |
564 | // bg | |
565 | TH1* hbg = ((TH2F*)res->At(shift+kBgEst))->ProjectionX(prefN+"BgEst"); | |
566 | SetHStyle(hbg,kMagenta,22,1.0); | |
567 | hbg->Scale(1./hbg->GetBinWidth(1)); | |
568 | hbg->Draw("same"); | |
569 | mn = TMath::Min(mn, hbg->GetMinimum()); | |
570 | mx = TMath::Max(mx, hbg->GetMaximum()); | |
571 | // | |
572 | // mc part ---------------------------- | |
573 | // raw data | |
574 | TH1* hrawMC = ((TH2F*)res->At(shift+kRawDtCut+kMCShift))->ProjectionX(prefN+"DataRawMC"); | |
575 | SetHStyle(hrawMC,kBlue,24,1.0); | |
576 | hrawMC->Scale(1./hrawMC->GetBinWidth(1)); | |
577 | hrawMC->Draw("same"); | |
578 | mn = TMath::Min(mn, hrawMC->GetMinimum()); | |
579 | mx = TMath::Max(mx, hrawMC->GetMaximum()); | |
580 | // | |
581 | // raw data bg sub | |
582 | TH1* hrawsMC = ((TH2F*)res->At(shift+kSignalEst+kMCShift))->ProjectionX(prefN+"DataRawSubMC"); | |
583 | SetHStyle(hrawsMC,kBlue,26,1.0); | |
584 | hrawsMC->Scale(1./hrawMC->GetBinWidth(1)); | |
585 | hrawsMC->Draw("same"); | |
586 | mn = TMath::Min(mn, hrawMC->GetMinimum()); | |
587 | mx = TMath::Max(mx, hrawMC->GetMaximum()); | |
588 | // | |
589 | // raw data bgMClabels sub | |
590 | TH1* hrawsMCLB = ((TH2F*)res->At(shift+kSignalEstMC+kMCShift))->ProjectionX(prefN+"DataRawSubMCLB"); | |
591 | SetHStyle(hrawsMCLB,kGreen+2,30,1.0); | |
592 | hrawsMCLB->Scale(1./hrawsMCLB->GetBinWidth(1)); | |
593 | hrawsMCLB->Draw("same"); | |
594 | mn = TMath::Min(mn, hrawsMCLB->GetMinimum()); | |
595 | mx = TMath::Max(mx, hrawsMCLB->GetMaximum()); | |
596 | // | |
597 | // bg est | |
598 | TH1* hbgMCEst = ((TH2F*)res->At(shift+kBgEst+kMCShift))->ProjectionX(prefN+"BgEstMC"); | |
599 | SetHStyle(hbgMCEst,kBlue,26,1.0); | |
600 | hbgMCEst->Scale(1./hbgMCEst->GetBinWidth(1)); | |
601 | hbgMCEst->Draw("same"); | |
602 | mn = TMath::Min(mn, hbgMCEst->GetMinimum()); | |
603 | mx = TMath::Max(mx, hbgMCEst->GetMaximum()); | |
604 | // | |
605 | // bg MC | |
606 | TH1* hbgMC = ((TH2F*)res->At(shift+kBgMC+kMCShift))->ProjectionX(prefN+"BgMC"); | |
607 | SetHStyle(hbgMC,kGreen+2,25,1.0); | |
608 | hbgMC->Scale(1./hbgMC->GetBinWidth(1)); | |
609 | hbgMC->Draw("same"); | |
610 | mn = TMath::Min(mn, hbgMC->GetMinimum()); | |
611 | mx = TMath::Max(mx, hbgMC->GetMaximum()); | |
612 | // | |
613 | mn = 0; | |
614 | hsigCorr->SetMinimum(mn); | |
615 | hsigCorr->SetMaximum(mx + 0.4*(mx-mn)); | |
616 | gPad->Modified(); | |
617 | // | |
618 | TLegend *legDnDeta = new TLegend(0.15,0.75, 0.45,0.95); | |
619 | legDnDeta->SetFillColor(kWhite); | |
620 | legDnDeta->SetHeader("Data"); | |
621 | legDnDeta->AddEntry(hsigCorr,"Corrected","pl"); | |
622 | legDnDeta->AddEntry(hraw, "Reconstructed","pl"); | |
623 | sprintf(buff,"Reconstructed - Bckg.%s.",useBgType.Data()); | |
624 | legDnDeta->AddEntry(hraws, buff,"pl"); | |
625 | sprintf(buff,"Background %s.",useBgType.Data()); | |
626 | legDnDeta->AddEntry(hbg, buff,"pl"); | |
627 | legDnDeta->Draw(); | |
628 | // | |
629 | TLegend *legDnDetaMC = new TLegend(0.60,0.72, 0.95,0.95); | |
630 | legDnDetaMC->SetFillColor(kWhite); | |
631 | legDnDetaMC->SetHeader("MC"); | |
632 | legDnDetaMC->AddEntry(hrawMC, "Reconstructed","pl"); | |
633 | sprintf(buff,"Reconstructed - Bckg.%s.",useBgType.Data()); | |
634 | legDnDetaMC->AddEntry(hrawsMC, buff,"pl"); | |
635 | sprintf(buff,"Reconstructed - Bckg.%s.","MC.Labels"); | |
636 | legDnDetaMC->AddEntry(hrawsMCLB, buff,"pl"); | |
637 | sprintf(buff,"Background %s.",useBgType.Data()); | |
638 | legDnDetaMC->AddEntry(hbgMCEst, buff,"pl"); | |
639 | sprintf(buff,"Background %s.","MC Labels"); | |
640 | legDnDetaMC->AddEntry(hbgMC, buff,"pl"); | |
641 | // | |
642 | legDnDetaMC->Draw(); | |
643 | // | |
644 | gPad->SetGrid(1.1); | |
645 | gPad->Modified(); | |
646 | AddLabel(outTitle,0.1,0.97, kBlack,0.025); | |
647 | // | |
648 | canvFin->cd(); | |
649 | // | |
650 | //---------------- dsitributions | |
651 | canvFin->cd(2); | |
652 | // | |
653 | TH1* mcdst = (TH1*)res->At(shift+kDataDist+kMCShift); | |
654 | TH1* mcdstbg = (TH1*)res->At(shift+kBgDist+kMCShift); | |
655 | TH1* mcdstbgLB = (TH1*)res->At(shift+kBgMCDist+kMCShift); | |
656 | TH1* dtdst = (TH1*)res->At(shift+kDataDist); | |
657 | TH1* dtdstbg = (TH1*)res->At(shift+kBgDist); | |
658 | // | |
659 | TH1* mcDstN = (TH1*)FindObject(bin,HName("Data", useShapeType==kNormShapeDist ? "WDist":"DPhiS"), listMC ); | |
660 | TH1* mcDstSec = (TH1*)FindObject(bin,HName("Sec", useShapeType==kNormShapeDist ? "WDist":"DPhiS"), listMC ); | |
661 | TH1* mcDstCombU = (TH1*)FindObject(bin,HName("CombU",useShapeType==kNormShapeDist ? "WDist":"DPhiS"), listMC ); | |
662 | TH1* mcDstCombC = (TH1*)FindObject(bin,HName("Comb", useShapeType==kNormShapeDist ? "WDist":"DPhiS"), listMC ); | |
663 | // | |
664 | double scl,sclE; | |
665 | mcDstN = NormalizeBg(mcdst,mcDstN,scl,sclE); | |
666 | mcDstSec->Scale(scl); | |
667 | mcDstCombU->Scale(scl); | |
668 | mcDstCombC->Scale(scl); | |
669 | mcDstCombC->Add(mcDstCombU,-1); | |
670 | ||
671 | dtdst->Draw(""); | |
672 | gPad->Modified(); | |
673 | dtdst->GetXaxis()->SetLabelSize(0.03); | |
674 | dtdst->GetXaxis()->SetTitleSize(0.03); | |
675 | dtdst->GetXaxis()->SetTitleOffset(2); | |
676 | dtdstbg->Draw("same"); | |
677 | // | |
678 | mcdst->Draw("same"); | |
679 | mcDstSec->Draw("same"); | |
680 | mcdstbgLB->Draw("same"); | |
681 | mcdstbg->Draw("same"); | |
682 | mcDstCombC->Draw("same"); | |
683 | // | |
684 | ||
685 | SetHStyle(mcdst,kBlue, 25,0.7); | |
686 | SetHStyle(mcdstbgLB,kGreen, 7/*32*/,0.5); | |
687 | SetHStyle(mcdstbg,kCyan, 7/*26*/,0.5); | |
688 | SetHStyle(mcDstCombC,kGreen+2, 21,0.7); | |
689 | SetHStyle(mcDstSec,kBlue+2, 22,0.7); | |
690 | // | |
691 | SetHStyle(dtdst,kRed, 20,0.7); | |
692 | SetHStyle(dtdstbg,kBlue, 34,0.7); | |
693 | // | |
694 | double vmcTot,vmcTotE; | |
695 | double vmcSec,vmcSecE, ratSec,ratSecE; | |
696 | double vmcCmbEst,vmcCmbEstE, ratCmbEst,ratCmbEstE; | |
697 | double vmcCmb,vmcCmbE, ratCmb,ratCmbE; | |
698 | double vmcCmbC,vmcCmbCE, ratCmbC,ratCmbCE; | |
699 | double cutSgMin,cutSgMax; | |
700 | double cutBgMin,cutBgMax; | |
701 | if (useShapeType==kNormShapeDist) { | |
702 | cutSgMin = 0; | |
703 | cutSgMax = kWDistSgCut; | |
704 | cutBgMin = kWDistBgTailMin; | |
705 | cutBgMax = kWDistBgTailMax; | |
706 | } | |
707 | else { | |
708 | cutSgMin = 0; | |
709 | cutSgMax = kdPhiSgCut; | |
710 | cutBgMin = kdPhiBgTailMin; | |
711 | cutBgMax = kdPhiBgTailMax; | |
712 | } | |
713 | Integrate(mcdst, cutSgMin,cutSgMax, vmcTot,vmcTotE); | |
714 | Integrate(mcDstSec, cutSgMin,cutSgMax, vmcSec,vmcSecE); | |
715 | GetRatE(vmcSec,vmcSecE, vmcTot,vmcTotE, ratSec,ratSecE); | |
716 | // | |
717 | Integrate(mcdstbgLB, cutSgMin,cutSgMax, vmcCmb,vmcCmbE); | |
718 | GetRatE(vmcCmb,vmcCmbE, vmcTot,vmcTotE, ratCmb,ratCmbE); | |
719 | // | |
720 | Integrate(mcdstbg, cutSgMin,cutSgMax, vmcCmbEst,vmcCmbEstE); | |
721 | GetRatE(vmcCmbEst,vmcCmbEstE, vmcTot,vmcTotE, ratCmbEst,ratCmbEstE); | |
722 | // | |
723 | Integrate(mcDstCombC, cutSgMin,cutSgMax, vmcCmbC,vmcCmbCE); | |
724 | GetRatE(vmcCmbC,vmcCmbCE, vmcTot,vmcTotE, ratCmbC,ratCmbCE); | |
725 | // | |
726 | double vdtTot,vdtTotE; | |
727 | double vdtBg,vdtBgE, ratdtBg,ratdtBgE; | |
728 | // | |
729 | Integrate(dtdst, cutSgMin,cutSgMax, vdtTot,vdtTotE); | |
730 | Integrate(dtdstbg, cutSgMin,cutSgMax, vdtBg,vdtBgE); | |
731 | GetRatE( vdtBg,vdtBgE, vdtTot,vdtTotE, ratdtBg,ratdtBgE); | |
732 | // | |
733 | // | |
734 | double dmn = mcdst->GetMinimum(); | |
735 | double dmx = mcdst->GetMaximum(); | |
736 | TLine *ln = new TLine(cutSgMax, dmn, cutSgMax, dmx); | |
737 | ln->SetLineColor(kBlack); | |
738 | ln->Draw(); | |
739 | TLine *lnc = new TLine(cutBgMin, dmn, cutBgMin, dmx); | |
740 | lnc->SetLineColor(kRed); | |
741 | lnc->Draw(); | |
742 | if (useShapeType==kNormShapeDPhi) { | |
743 | ln = new TLine(-cutSgMax, dmn, -cutSgMax, dmx); | |
744 | ln->SetLineColor(kBlack); | |
745 | ln->Draw(); | |
746 | // | |
747 | lnc = new TLine(-cutBgMin, dmn, -cutBgMin, dmx); | |
748 | lnc->SetLineColor(kRed); | |
749 | lnc->Draw(); | |
750 | } | |
751 | // | |
752 | TLegend *legDstMC1 = new TLegend(0.60,0.72, 0.95,0.95); | |
753 | legDstMC1->SetFillColor(kWhite); | |
754 | ||
755 | // | |
756 | legDstMC1->AddEntry(dtdst, "Data raw","pl"); | |
757 | sprintf(buff,"Data Comb. %s. : %.1f%%",useBgType.Data(),ratdtBg*100); | |
758 | legDstMC1->AddEntry(dtdstbg, buff,"pl"); | |
759 | // | |
760 | ||
761 | ||
762 | legDstMC1->AddEntry(mcdst, "MC raw","pl"); | |
763 | sprintf(buff,"MC Comb. %s. : %.1f%%",useBgType.Data(),ratCmbEst*100); | |
764 | legDstMC1->AddEntry(mcdstbg, buff,"pl"); | |
765 | // | |
766 | sprintf(buff,"MC Comb. %s. : %.1f%%","MC Lbl.",ratCmb*100); | |
767 | legDstMC1->AddEntry(mcdstbgLB, buff,"pl"); | |
768 | ||
769 | sprintf(buff,"MC Comb.Uncorr %s. : %.1f%%","MC Lbl.",ratCmbC*100); | |
770 | legDstMC1->AddEntry(mcDstCombC, buff,"pl"); | |
771 | ||
772 | sprintf(buff,"MC Sec. : %.1f%%",ratSec*100); | |
773 | legDstMC1->AddEntry(mcDstSec, buff,"pl"); | |
774 | ||
775 | legDstMC1->Draw(); | |
776 | ||
777 | if (useShapeType==kNormShapeDist) gPad->SetLogx(); | |
778 | gPad->SetLogy(); | |
779 | gPad->SetGrid(1,1); | |
780 | gPad->Modified(); | |
781 | // | |
782 | canvFin->cd(); | |
783 | // | |
784 | if (creatDnDEtaCMacro) { | |
785 | sprintf(buff,"%s/%s_b%d_dNdEta_%s",figDir,uniqueName.Data(),bin,outStr); | |
786 | SaveCanvas(canvFin,buff,"cg"); | |
787 | } | |
788 | // | |
789 | } | |
790 | // | |
791 | void PlotAlphaBeta(int bin) | |
792 | { | |
793 | char buff[1000]; | |
794 | int shift = bin*kNHistos; | |
795 | gStyle->SetOptFit(0); | |
796 | gStyle->SetOptStat(0); | |
797 | gStyle->SetOptTitle(0); | |
798 | TObjArray* res = &resArr; | |
799 | //------------------------------------------------------ | |
800 | if (!canvFin) canvFin = new TCanvas("canvFin","canvFin",10,10,700,1000); | |
801 | canvFin->Clear(); | |
802 | canvFin->Divide(2,3,0.01,0.01); | |
803 | canvFin->cd(1); | |
804 | TH1* dtBet = (TH1*)res->At(shift + k1MBeta); | |
805 | TH1* mcBet = (TH1*)res->At(shift + k1MBeta+kMCShift); | |
806 | TH1* mcBetLB = (TH1*)res->At(shift + k1MBetaMC+kMCShift); | |
807 | double mn,mx,mnt,mxt; | |
808 | GetRealMinMax(dtBet,mn,mx); | |
809 | GetRealMinMax(mcBet,mnt,mxt); | |
810 | if (mnt<mn) mn = mnt; | |
811 | if (mxt>mx) mx = mxt; | |
812 | GetRealMinMax(mcBetLB,mnt,mxt); | |
813 | if (mnt<mn) mn = mnt; | |
814 | if (mxt>mx) mx = mxt; | |
815 | // | |
816 | dtBet->SetMinimum(mn - 0.05*(mx-mn)); | |
817 | dtBet->SetMaximum(mx + 0.05*(mx-mn)); | |
818 | mcBet->SetMinimum(mn - 0.05*(mx-mn)); | |
819 | mcBet->SetMaximum(mx + 0.05*(mx-mn)); | |
820 | mcBetLB->SetMinimum(mn - 0.05*(mx-mn)); | |
821 | mcBetLB->SetMaximum(mx + 0.05*(mx-mn)); | |
822 | // | |
823 | canvFin->cd(1); | |
824 | gPad->SetRightMargin(0.15); | |
825 | dtBet->Draw("colz"); | |
826 | AddLabel("#beta Data",0.2,0.95,kBlack,0.05); | |
827 | gPad->Modified(); | |
828 | dtBet->GetYaxis()->SetTitleOffset(1.4); | |
829 | TPaletteAxis *p = (TPaletteAxis*)dtBet->FindObject("palette"); | |
830 | if (p) p->SetX1NDC(0.85); | |
831 | canvFin->cd(2); | |
832 | gPad->SetRightMargin(0.15); | |
833 | mcBet->Draw("colz"); | |
834 | AddLabel("#beta MC (bckg.estimated)",0.2,0.95,kBlack,0.05); | |
835 | gPad->Modified(); | |
836 | mcBet->GetYaxis()->SetTitleOffset(1.4); | |
837 | p = (TPaletteAxis*)mcBet->FindObject("palette"); | |
838 | if (p) p->SetX1NDC(0.85); | |
839 | canvFin->cd(3); | |
840 | gPad->SetRightMargin(0.15); | |
841 | mcBetLB->Draw("colz"); | |
842 | AddLabel("#beta MC (bckg.from MC labels)",0.2,0.95,kBlack,0.05); | |
843 | gPad->Modified(); | |
844 | mcBetLB->GetYaxis()->SetTitleOffset(1.4); | |
845 | p = (TPaletteAxis*)mcBetLB->FindObject("palette"); | |
846 | if (p) p->SetX1NDC(0.85); | |
847 | // | |
848 | //------------------------------------------------------ | |
849 | TH1* dtAlp = (TH1*)res->At(shift + kAlpha); | |
850 | TH1* mcAlp = (TH1*)res->At(shift + kAlphaMC); | |
851 | GetRealMinMax(dtAlp,mn,mx); | |
852 | GetRealMinMax(mcAlp,mnt,mxt); | |
853 | if (mnt<mn) mn = mnt; | |
854 | if (mxt>mx) mx = mxt; | |
855 | dtAlp->SetMinimum(mn - 0.05*(mx-mn)); | |
856 | dtAlp->SetMaximum(mx + 0.05*(mx-mn)); | |
857 | mcAlp->SetMinimum(mn - 0.05*(mx-mn)); | |
858 | mcAlp->SetMaximum(mx + 0.05*(mx-mn)); | |
859 | // | |
860 | canvFin->cd(4); | |
861 | gPad->SetRightMargin(0.15); | |
862 | dtAlp->Draw("colz"); | |
863 | AddLabel("#alpha (bckg.estimated)",0.2,0.95,kBlack,0.05); | |
864 | gPad->Modified(); | |
865 | dtAlp->GetYaxis()->SetTitleOffset(1.4); | |
866 | TPaletteAxis *pa = (TPaletteAxis*)dtBet->FindObject("palette"); | |
867 | if (pa) pa->SetX1NDC(0.85); | |
868 | canvFin->cd(5); | |
869 | gPad->SetRightMargin(0.15); | |
870 | mcAlp->Draw("colz"); | |
871 | AddLabel("#alpha (bckg.from MC labels)",0.2,0.95,kBlack,0.05); | |
872 | gPad->Modified(); | |
873 | mcAlp->GetYaxis()->SetTitleOffset(1.4); | |
874 | pa = (TPaletteAxis*)mcBet->FindObject("palette"); | |
875 | if (pa) pa->SetX1NDC(0.85); | |
876 | gPad->Modified(); | |
877 | canvFin->cd(6); | |
878 | AddLabel(outTitle,0.1,0.5, kBlack, 0.025); | |
879 | // | |
880 | if (creatAlphaBetaCMacro) { | |
881 | sprintf(buff,"%s/%sAlphaBeta_%s",figDir,uniqueName.Data(),outStr); | |
882 | SaveCanvas(canvFin,buff,"cg"); | |
883 | } | |
884 | // | |
885 | } | |
886 | ||
887 | void PlotSpecies() | |
888 | { | |
889 | char buff[1000]; | |
890 | gStyle->SetOptFit(0); | |
891 | gStyle->SetOptStat(0); | |
892 | gStyle->SetOptTitle(0); | |
893 | //------------------------------------------------------ | |
894 | TH2F* hSpecPrim = (TH2F*)FindObject(-1, "pdgPrim", listMC,kFALSE); | |
895 | TH2F* hSpecSec = (TH2F*)FindObject(-1, "pdgSec", listMC,kFALSE); | |
896 | TH2F* hSpecPrimP = (TH2F*)FindObject(-1, "pdgPrimPar", listMC,kFALSE); | |
897 | TH2F* hSpecSecP = (TH2F*)FindObject(-1, "pdgSecPar", listMC,kFALSE); | |
898 | int nbd = hSpecPrim->GetXaxis()->GetNbins(); | |
899 | // | |
900 | TH1* hSpecPrimAll = hSpecPrim->ProjectionX("specPrimAll",1,nbd+1,"e"); | |
901 | hSpecPrimAll->Scale(100./hSpecPrimAll->Integral()); | |
902 | hSpecPrimAll->GetYaxis()->SetTitle("Fraction,%"); | |
903 | hSpecPrimAll->GetXaxis()->SetLabelSize(0.06); | |
904 | hSpecPrimAll->GetXaxis()->LabelsOption("v"); | |
905 | // | |
906 | TH1* hSpecSecAll = hSpecSec->ProjectionX("specSecAll",1,nbd+1,"e"); | |
907 | hSpecSecAll->Scale(100./hSpecSecAll->Integral()); | |
908 | hSpecSecAll->GetYaxis()->SetTitle("Fraction,%"); | |
909 | hSpecSecAll->GetXaxis()->SetLabelSize(0.05); | |
910 | // | |
911 | TH1* hSpecPrimPAll = hSpecPrimP->ProjectionX("specPrimPAll",1,nbd+1,"e"); | |
912 | hSpecPrimPAll->Scale(100./hSpecPrimPAll->Integral()); | |
913 | hSpecPrimPAll->GetYaxis()->SetTitle("Fraction,%"); | |
914 | hSpecPrimPAll->GetXaxis()->SetLabelSize(0.06); | |
915 | hSpecPrimPAll->GetXaxis()->LabelsOption("v"); | |
916 | ||
917 | // | |
918 | TH1* hSpecSecPAll = hSpecSecP->ProjectionX("specSecPAll",1,nbd+1,"e"); | |
919 | hSpecSecPAll->Scale(100./hSpecSecPAll->Integral()); | |
920 | hSpecSecPAll->GetYaxis()->SetTitle("Fraction,%"); | |
921 | hSpecSecPAll->GetXaxis()->SetLabelSize(0.05); | |
922 | // | |
923 | int binCut = hSpecPrim->GetXaxis()->FindBin(kWDistSgCut-kEps); | |
924 | TH1* hSpecPrimSel = hSpecPrim->ProjectionX("specPrimSel",1,binCut,"e"); | |
925 | hSpecPrimSel->Scale(100./hSpecPrimSel->Integral()); | |
926 | hSpecPrimSel->GetYaxis()->SetTitle("Fraction,%"); | |
927 | hSpecPrimSel->GetXaxis()->SetLabelSize(0.05); | |
928 | // | |
929 | TH1* hSpecSecSel = hSpecSec->ProjectionX("specSecSel",1,binCut,"e"); | |
930 | hSpecSecSel->Scale(100./hSpecSecSel->Integral()); | |
931 | hSpecSecSel->GetYaxis()->SetTitle("Fraction,%"); | |
932 | hSpecSecSel->GetXaxis()->SetLabelSize(0.05); | |
933 | // | |
934 | TH1* hSpecPrimPSel = hSpecPrimP->ProjectionX("specPrimPSel",1,binCut,"e"); | |
935 | hSpecPrimPSel->Scale(100./hSpecPrimPSel->Integral()); | |
936 | hSpecPrimPSel->GetYaxis()->SetTitle("Fraction,%"); | |
937 | hSpecPrimPSel->GetXaxis()->SetLabelSize(0.05); | |
938 | // | |
939 | TH1* hSpecSecPSel = hSpecSecP->ProjectionX("specSecPSel",1,binCut,"e"); | |
940 | hSpecSecPSel->Scale(100./hSpecSecPSel->Integral()); | |
941 | hSpecSecPSel->GetYaxis()->SetTitle("Fraction,%"); | |
942 | hSpecSecPSel->GetXaxis()->SetLabelSize(0.05); | |
943 | // | |
944 | if (!canvFin) canvFin = new TCanvas("canvFin","canvFin",10,10,1100,800); | |
945 | canvFin->Clear(); | |
946 | canvFin->Divide(1,2,0.01,0.01); | |
947 | canvFin->cd(1); | |
948 | hSpecPrimAll->Draw(); | |
949 | SetHStyle(hSpecPrimAll,kBlue,25,1.1); | |
950 | hSpecPrimSel->Draw("same"); | |
951 | SetHStyle(hSpecPrimSel,kRed,20,1); | |
952 | // | |
953 | hSpecSecAll->Draw("same"); | |
954 | SetHStyle(hSpecSecAll,kGreen,32,1.1); | |
955 | hSpecSecSel->Draw("same"); | |
956 | SetHStyle(hSpecSecSel,kBlack,22,1); | |
957 | // | |
958 | TLegend *legPart = new TLegend(0.8,0.72, 0.999,0.999); | |
959 | legPart->SetFillColor(kWhite); | |
960 | legPart->SetHeader("Tracklet PDG"); | |
961 | // | |
962 | legPart->AddEntry(hSpecPrimAll, "Prim., before #Delta cut","pl"); | |
963 | legPart->AddEntry(hSpecPrimSel, "Prim., after #Delta cut","pl"); | |
964 | legPart->AddEntry(hSpecSecAll, "Sec., before #Delta cut","pl"); | |
965 | legPart->AddEntry(hSpecSecSel, "Sec., after #Delta cut","pl"); | |
966 | // | |
967 | legPart->Draw(); | |
968 | gPad->SetLogy(); | |
969 | gPad->SetGrid(1,1); | |
970 | gPad->Modified(); | |
971 | // | |
972 | canvFin->cd(2); | |
973 | hSpecPrimPAll->Draw(); | |
974 | SetHStyle(hSpecPrimPAll,kBlue,25,1.1); | |
975 | hSpecPrimPSel->Draw("same"); | |
976 | SetHStyle(hSpecPrimPSel,kRed,20,1); | |
977 | // | |
978 | hSpecSecPAll->Draw("same"); | |
979 | SetHStyle(hSpecSecPAll,kGreen,32,1.1); | |
980 | hSpecSecPSel->Draw("same"); | |
981 | SetHStyle(hSpecSecPSel,kBlack,22,1); | |
982 | // | |
983 | TLegend *legPartP = new TLegend(0.8,0.72, 0.999,0.999); | |
984 | legPartP->SetFillColor(kWhite); | |
985 | legPartP->SetHeader("Tracklet Parents PDG"); | |
986 | // | |
987 | legPartP->AddEntry(hSpecPrimPAll, "Prim., before #Delta cut","pl"); | |
988 | legPartP->AddEntry(hSpecPrimPSel, "Prim., after #Delta cut","pl"); | |
989 | legPartP->AddEntry(hSpecSecPAll, "Sec., before #Delta cut","pl"); | |
990 | legPartP->AddEntry(hSpecSecPSel, "Sec., after #Delta cut","pl"); | |
991 | // | |
992 | legPartP->Draw(); | |
993 | gPad->SetLogy(); | |
994 | gPad->SetGrid(1,1); | |
995 | gPad->Modified(); | |
996 | // | |
997 | canvFin->cd(1); | |
998 | // AddLabel(outTitle,0.1,0.97, kBlack, 0.025); | |
999 | canvFin->cd(); | |
1000 | // | |
1001 | if (creatSpeciesCMacro) { | |
1002 | sprintf(buff,"%s/%sSpecies_%s",figDir,uniqueName.Data(),outStr); | |
1003 | SaveCanvas(canvFin,buff,"cg"); | |
1004 | } | |
1005 | } | |
1006 | ||
1007 | //______________________________________________________________________ | |
1008 | void CropHisto(TH1* histo, int bx0, int bx1, int by0, int by1) | |
1009 | { | |
1010 | // fill 0 to all bins outside defined range | |
1011 | TAxis *xax = histo->GetXaxis(); | |
1012 | int nbx = xax->GetNbins(); | |
1013 | double vmn=1e16,vmx=-1e16; | |
1014 | if (histo->InheritsFrom(TH2::Class())) { | |
1015 | TAxis *yax = histo->GetYaxis(); | |
1016 | int nby = yax->GetNbins(); | |
1017 | for (int ix=nbx+2;ix--;) { | |
1018 | for (int iy=nby+2;iy--;) { | |
1019 | if ((ix<bx0||ix>bx1)||(iy<by0||iy>by1)) { | |
1020 | histo->SetBinContent(ix,iy,0); | |
1021 | histo->SetBinError(ix,iy,0); | |
1022 | } | |
1023 | else { | |
1024 | double vl = histo->GetBinContent(ix,iy); | |
1025 | if (vl<vmn) vmn = vl; | |
1026 | if (vl>vmx) vmx = vl; | |
1027 | } | |
1028 | } | |
1029 | } | |
1030 | } | |
1031 | else { | |
1032 | for (int ix=nbx+2;ix--;) { | |
1033 | if ((ix<bx0||ix>bx1)) { | |
1034 | histo->SetBinContent(ix,0); | |
1035 | histo->SetBinError(ix,0); | |
1036 | } | |
1037 | else { | |
1038 | double vl = histo->GetBinContent(ix); | |
1039 | if (vl<vmn) vmn = vl; | |
1040 | if (vl>vmx) vmx = vl; | |
1041 | } | |
1042 | } | |
1043 | } | |
1044 | // | |
1045 | if (vmn==vmx) { | |
1046 | vmn = 0.95*vmn; | |
1047 | vmx = 1.05*vmx; | |
1048 | } | |
1049 | histo->SetMaximum(vmx); | |
1050 | histo->SetMinimum(vmn); | |
1051 | } | |
1052 | ||
1053 | //______________________________________________________________________ | |
1054 | void CropHisto(TH1* histo, double vx0, double vx1, double vy0, double vy1) | |
1055 | { | |
1056 | // fill 0 to all bins outside defined range | |
1057 | TAxis *xax = histo->GetXaxis(); | |
1058 | int bx0,bx1,by0=-1,by1=-1; | |
1059 | bx0 = xax->FindBin(vx0+kEps); | |
1060 | bx1 = xax->FindBin(vx1-kEps); | |
1061 | if (histo->InheritsFrom(TH2::Class())) { | |
1062 | TAxis *yax = histo->GetYaxis(); | |
1063 | by0 = yax->FindBin(vy0+kEps); | |
1064 | by1 = yax->FindBin(vy1-kEps); | |
1065 | } | |
1066 | CropHisto(histo,bx0,bx1,by0,by1); | |
1067 | } | |
1068 | ||
1069 | //______________________________________________________________________ | |
1070 | TH1* NormalizeBg(TH1* dataH, TH1* bgH, double &scl, double &sclE) | |
1071 | { | |
1072 | // match generated bg and data tails, calculate normalization, return normalized bg copy | |
1073 | // | |
1074 | TAxis* xax = dataH->GetXaxis(); | |
1075 | int nbtot = xax->GetNbins(); | |
1076 | int bgBins[2][2] = {{0}}; // limiting bins for tails integration | |
1077 | Int_t ntails; // 0 for dphi plot, 1 for weighted dist plot | |
1078 | if (useShapeType == kNormShapeDist) { // only positive tail | |
1079 | bgBins[0][0] = xax->FindBin(kWDistBgTailMin+kEps); // positive tail min bin | |
1080 | bgBins[0][1] = xax->FindBin(kWDistBgTailMax-kEps); // positive tail max bin | |
1081 | ntails = 1; | |
1082 | } | |
1083 | else if (useShapeType == kNormShapeDPhi) { // both tails | |
1084 | bgBins[0][0] = xax->FindBin( kdPhiBgTailMin+kEps); // positive tail min bin | |
1085 | bgBins[0][1] = xax->FindBin( kdPhiBgTailMax-kEps); // positive tail max bin | |
1086 | bgBins[1][0] = xax->FindBin(-kdPhiBgTailMax+kEps); // negative tail min bin | |
1087 | bgBins[1][1] = xax->FindBin(-kdPhiBgTailMin-kEps); // positive tail max bin | |
1088 | ntails = 2; | |
1089 | } | |
1090 | else {printf("NormalizeBg: unknown shape type %d\n",useShapeType);exit(1);} | |
1091 | printf("NormalizeBg: bins for tails: right: %d:%d / left: %d:%d\n",bgBins[0][0],bgBins[0][1],bgBins[1][0],bgBins[1][1]); | |
1092 | // | |
1093 | double meanR=0,meanRE=0,meanRE2=0; | |
1094 | double meanD=0,meanDE2=0; | |
1095 | double meanB=0,meanBE2=0; | |
1096 | double meanRI=0,meanRIE=0; | |
1097 | for (int itp=0;itp<=ntails;itp++) { | |
1098 | for (int ib=bgBins[itp][0];ib<=bgBins[itp][1];ib++) { | |
1099 | if (ib<1||ib>nbtot) continue; | |
1100 | double vD = dataH->GetBinContent(ib); | |
1101 | double vB = bgH->GetBinContent(ib); | |
1102 | double eD = dataH->GetBinError(ib); | |
1103 | double eB = bgH->GetBinError(ib); | |
1104 | meanD += vD; meanDE2 += eD*eD; | |
1105 | meanB += vB; meanBE2 += eB*eB; | |
1106 | if (vD<=0 || vB<=0 || eD<=0 || eB<=0) continue; | |
1107 | double rat = vD/vB; | |
1108 | double ratE2 = rat*rat*(eD*eD/vD/vD + eB*eB/vB/vB); | |
1109 | meanR += rat/ratE2; meanRE2 += 1.0/ratE2; | |
1110 | } | |
1111 | } | |
1112 | // | |
1113 | if (meanRE2>0) { | |
1114 | meanR /= meanRE2; | |
1115 | meanRE2 = 1./meanRE2; | |
1116 | meanRE = TMath::Sqrt(meanRE2); | |
1117 | } | |
1118 | if (meanDE2>0 && meanBE2>0) { | |
1119 | meanRI = meanD/meanB; | |
1120 | meanRIE = meanRI*TMath::Sqrt(meanDE2/meanD/meanD + meanBE2/meanB/meanB); | |
1121 | } | |
1122 | printf("NormalizeBg: Tails scaling %s wrt %s: Wgh.Mean:%.4f(%.4f) / Integral:%.4f(%.4f)\n", | |
1123 | bgH->GetName(),dataH->GetName(), meanR,meanRE, meanRI,meanRIE); | |
1124 | printf("NormalizeBg: Select scaling type %s\n",useScaleType==kSclWghMean ? "Wgh.Mean":"Integral"); | |
1125 | // | |
1126 | scl = useScaleType==kSclWghMean ? meanR : meanRI; | |
1127 | sclE = useScaleType==kSclWghMean ? meanRE : meanRIE; | |
1128 | // | |
1129 | // rescaled bg | |
1130 | char buff[1000]; | |
1131 | sprintf(buff,"%s_bgNorm",bgH->GetName()); | |
1132 | bgH = (TH1*)bgH->Clone(buff); | |
1133 | sprintf(buff,"%s bgNorm%d %.4f+-%.4f",bgH->GetName(),useScaleType,scl,sclE); | |
1134 | TH1* dumH = (TH1*)bgH->Clone("dummySCL$"); dumH->Reset(); | |
1135 | for (int i=1;i<=nbtot;i++) { | |
1136 | dumH->SetBinContent(i,scl); | |
1137 | dumH->SetBinError(i,sclE); | |
1138 | } | |
1139 | bgH->Multiply(dumH); | |
1140 | delete dumH; | |
1141 | return bgH; | |
1142 | } | |
1143 | ||
1144 | //______________________________________________________________________ | |
1145 | TObject* FindObject(int bin, const char* nameH, const TList* lst, Bool_t normPerEvent) | |
1146 | { | |
1147 | // get histo, optionally normalizing it per processed event | |
1148 | if (!lst) {printf("FindObject %s: No list provided\n",nameH); exit(1);} | |
1149 | int nent = lst->GetEntries(); | |
1150 | // | |
1151 | char buff[200]; | |
1152 | if (bin>=0) sprintf(buff,"b%d_%s",bin,nameH); | |
1153 | else sprintf(buff,"%s",nameH); | |
1154 | TString nm; | |
1155 | TObject *hst = 0; | |
1156 | for (int i=nent;i--;) { | |
1157 | nm = lst->At(i)->GetName(); | |
1158 | if (nm.EndsWith(buff)) {hst = lst->At(i); break;} | |
1159 | } | |
1160 | if (!hst) {printf("FindObject: No bin %d %s histo in list %s\n",bin,nameH,lst->GetName()); exit(1);} | |
1161 | if (!normPerEvent || hst->TestBit(kBitNormPerEvent)) return hst; // already normalized | |
1162 | TString nameHS = nameH; | |
1163 | if (nameHS==kHStatName) return hst; // never scale stat. histo | |
1164 | // | |
1165 | TH1* hstat = (TH1*)FindObject(-1,kHStatName,lst,kFALSE); | |
1166 | double nrm = hstat->GetBinContent(kBinEntries + kEvProcInj+bin*kEntriesPerBin); | |
1167 | // double nrm = hstat->GetBinContent(kBinEntries + kEvProcData+bin*kEntriesPerBin); // HACK | |
1168 | if (nrm<1) {printf("FindObject %s: Anomaluous %d number of events processed in bin %d of list %p\n", | |
1169 | buff,int(nrm),bin,lst); return 0;} | |
1170 | // | |
1171 | if (hst->InheritsFrom(TH1::Class())) ((TH1*)hst)->Scale(1./nrm); | |
1172 | else if (hst->InheritsFrom(THnSparse::Class())) { | |
1173 | THnSparse* spr = (THnSparse*) hst; | |
1174 | spr->Sumw2(); | |
1175 | int coord[3] = {0,0,0}; | |
1176 | for (Long64_t i = 0; i < spr->GetNbins(); ++i) { | |
1177 | // Get the content of the bin from the current histogram | |
1178 | Double_t v = spr->GetBinContent(i, coord); | |
1179 | spr->SetBinContent(coord, v/nrm); | |
1180 | spr->SetBinError(coord,TMath::Sqrt(v)/nrm); | |
1181 | } | |
1182 | } | |
1183 | // | |
1184 | hst->SetBit(kBitNormPerEvent); | |
1185 | return hst; | |
1186 | } | |
1187 | ||
1188 | //______________________________________________________________________ | |
1189 | TList* LoadList(const char* flName, const char* addPref, const char* nameL) | |
1190 | { | |
1191 | // load list with histos | |
1192 | TString nms = flName; | |
1193 | gSystem->ExpandPathName(nms); | |
1194 | TFile* fl = TFile::Open(nms.Data()); | |
1195 | if (!fl) {printf("LoadList: No file %s\n",nms.Data()); exit(1);} | |
1196 | TList* lst = (TList*)fl->Get(nameL); | |
1197 | if (!lst) {printf("LoadList: No list %s in file %s\n",nameL,nms.Data()); exit(1);} | |
1198 | lst->SetName(flName); | |
1199 | // | |
1200 | int nEnt = lst->GetSize(); | |
1201 | TString nm; | |
1202 | for (int i=0;i<nEnt;i++) { | |
1203 | TNamed* ob = (TNamed*)lst->At(i); | |
1204 | nm = addPref; | |
1205 | nm += ob->GetName(); | |
1206 | ob->SetName(nm.Data()); | |
1207 | } | |
1208 | // | |
1209 | return lst; | |
1210 | } | |
1211 | ||
1212 | //____________________________________________________________________________ | |
1213 | void GetRatE(double x,double xe, double y,double ye, double &rat, double &rate) | |
1214 | { | |
1215 | rat = 0; rate = 0; | |
1216 | if (TMath::Abs(y)<1e-16 || TMath::Abs(x)<1e-16) return; | |
1217 | rat = x/y; | |
1218 | rate = rat*TMath::Sqrt( xe*xe/(x*x) + ye*ye/(y*y)); | |
1219 | } | |
1220 | ||
1221 | //____________________________________________________________________________ | |
1222 | void Integrate(TH1* hist, double xmn,double xmx, double &val, double& err) | |
1223 | { | |
1224 | // integrate 1d histo within given limits | |
1225 | TAxis* xax = hist->GetXaxis(); | |
1226 | int bmn = xax->FindBin(xmn+kEps); if (bmn<1) bmn = 0; // include | |
1227 | int bmx = xax->FindBin(xmx-kEps); | |
1228 | val = hist->IntegralAndError(bmn,bmx,err); | |
1229 | // is this histo with symmetric axis ? then integrate also negative half axis | |
1230 | if (TMath::Abs( xax->GetXmin() + xax->GetXmax() )<1e-6) { | |
1231 | bmn = xax->FindBin(-xmx+kEps); | |
1232 | bmx = xax->FindBin(-xmn-kEps); | |
1233 | double errn; | |
1234 | val += hist->IntegralAndError(bmn,bmx,errn); | |
1235 | err = TMath::Sqrt(err*err + errn*errn); | |
1236 | } | |
1237 | } | |
1238 | ||
1239 | ||
1240 | //____________________________________________________________________________ | |
1241 | const char* HName(const char* prefix,const char* htype) | |
1242 | { | |
1243 | // compose the name of histo in the clist | |
1244 | static TString strh; | |
1245 | strh = "Tr"; strh += prefix; strh += "_"; strh += htype; | |
1246 | return strh.Data(); | |
1247 | } | |
1248 | ||
1249 | //____________________________________________________________________________ | |
1250 | Int_t CheckStat(const TList* lst, const char* dtType) | |
1251 | { | |
1252 | // check if needed bg was generated | |
1253 | TH1* hstat = (TH1*)FindObject(-1,kHStatName,lst); | |
1254 | TString dts = dtType; | |
1255 | if (dts=="Data") return int( hstat->GetBinContent(kEvProcData) ); | |
1256 | if (dts=="Mix") return int( hstat->GetBinContent(kEvProcMix) ); | |
1257 | if (dts=="Inj") return int( hstat->GetBinContent(kEvProcInj) ); | |
1258 | if (dts=="Rot") return int( hstat->GetBinContent(kEvProcRot) ); | |
1259 | printf("Unknown process %s statistics is checked. Alowed: Data,Mix,Inj,Rot",dtType); | |
1260 | return 0; | |
1261 | } | |
1262 | ||
1263 | ||
1264 | void GetRealMinMax(TH1* histo, double &vmn, double &vmx) | |
1265 | { | |
1266 | TAxis *xax = histo->GetXaxis(); | |
1267 | int nbx = xax->GetNbins(); | |
1268 | vmn=1e6, vmx=-1e6; | |
1269 | if (histo->InheritsFrom(TH2::Class())) { | |
1270 | TAxis *yax = histo->GetYaxis(); | |
1271 | int nby = yax->GetNbins(); | |
1272 | for (int ix=nbx+2;ix--;) { | |
1273 | for (int iy=nby+2;iy--;) { | |
1274 | double vl = histo->GetBinContent(ix,iy); | |
1275 | if (vl<kEps) continue; | |
1276 | if (vl<vmn) vmn = vl; | |
1277 | if (vl>vmx) vmx = vl; | |
1278 | } | |
1279 | } | |
1280 | } | |
1281 | // | |
1282 | else { | |
1283 | for (int ix=nbx+2;ix--;) { | |
1284 | double vl = histo->GetBinContent(ix); | |
1285 | if (vl<vmn) vmn = vl; | |
1286 | if (vl>vmx) vmx = vl; | |
1287 | } | |
1288 | } | |
1289 | // | |
1290 | } |