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Macros to chack SDD online calibrations updated for 2011 run
[u/mrichter/AliRoot.git] / ITS / macrosSDD / TrendQAtrainSDD.C
... / ...
CommitLineData
1#if !defined(__CINT__) || defined(__MAKECINT__)
2#include <TH1F.h>
3#include <TH2F.h>
4#include <TF1.h>
5#include <TPad.h>
6#include <TGraphErrors.h>
7#include <TROOT.h>
8#include <TFile.h>
9#include <TTree.h>
10#include <TGrid.h>
11#include <TGridResult.h>
12#include <TMath.h>
13#include <TSystem.h>
14#include <TNtuple.h>
15#include <TCanvas.h>
16#include <TStyle.h>
17#include <TLatex.h>
18#include <TLegend.h>
19#include <TLegendEntry.h>
20#include "AliITSgeomTGeo.h"
21#endif
22
23Double_t LangausFun(Double_t *x, Double_t *par);
24void MakePlots(TString ntupleFileName);
25
26
27void TrendQAtrainSDD(TString period,
28 TString recoPass,
29 TString qaTrain1,
30 TString qaTrain2,
31 Int_t firstRun=0,
32 Int_t lastRun=999999999,
33 TString fileName="QAresults.root"){
34
35 gStyle->SetOptStat(0);
36
37
38 TGrid::Connect("alien:");
39 Int_t year=0;
40 if(period.Contains("LHC09")) year=2009;
41 else if(period.Contains("LHC10")) year=2010;
42 else if(period.Contains("LHC11")) year=2011;
43
44 TString outFilNam=Form("TrendingSDD_%s_%s_%s.root",period.Data(),recoPass.Data(),qaTrain1.Data());
45
46
47 const Int_t nVariables=27;
48 TNtuple* ntsdd=new TNtuple("ntsdd","SDD trending","nrun:fracTrackWithClu1:errfracTrackWithClu1:fracTrackWithClu2:errfracTrackWithClu2:fracTrackWithClu3:errfracTrackWithClu3:fracTrackWithClu4:errfracTrackWithClu4:fracTrackWithClu5:errfracTrackWithClu5:fracTrackWithClu6:errfracTrackWithClu6:meanTrPts3:errmeanTrPts3:meanTrPts4:errmeanTrPts4:minDrTime:errminDrTime:meanDrTime:errmeanDrTime:fracExtra:errfracExtra:meandEdxTB0:errmeandEdxTB0:meandEdxTB5:errmeandEdxTB5");
49 Float_t xnt[nVariables];
50
51 TBits* readRun=new TBits(999999);
52 readRun->ResetAllBits();
53 if(!gSystem->Exec(Form("ls -l %s > /dev/null 2>&1",outFilNam.Data()))){
54 TFile* oldfil=new TFile(outFilNam.Data());
55 TNtuple* ntmp=(TNtuple*)oldfil->Get("ntsdd");
56 Bool_t isOK=kFALSE;
57 if(ntmp){
58 if(ntmp->GetNvar()==ntsdd->GetNvar()){
59 isOK=kTRUE;
60 TObjArray* arr1=(TObjArray*)ntsdd->GetListOfBranches();
61 TObjArray* arr2=(TObjArray*)ntmp->GetListOfBranches();
62 for(Int_t iV=0; iV<ntmp->GetNvar(); iV++){
63 TString vnam1=arr1->At(iV)->GetName();
64 TString vnam2=arr2->At(iV)->GetName();
65 if(vnam1!=vnam2) isOK=kFALSE;
66 ntmp->SetBranchAddress(vnam2.Data(),&xnt[iV]);
67 }
68 if(isOK){
69 for(Int_t nE=0; nE<ntmp->GetEntries(); nE++){
70 ntmp->GetEvent(nE);
71 Int_t theRun=(Int_t)(xnt[0]+0.0001);
72 readRun->SetBitNumber(theRun);
73 ntsdd->Fill(xnt);
74 }
75 }
76 }
77 }
78 if(!isOK){
79 printf("Ntuple in local file not OK -> will be recreated\n");
80 }
81 oldfil->Close();
82 delete oldfil;
83 }
84
85 if(!gGrid||!gGrid->IsConnected()) {
86 printf("gGrid not found! exit macro\n");
87 return;
88 }
89
90 TString path=Form("/alice/data/%d/%s/",year,period.Data(),recoPass.Data());
91 TGridResult *gr = gGrid->Query(path,fileName);
92 Int_t nFiles = gr->GetEntries();
93 printf("================>%d files found\n", nFiles);
94 if (nFiles < 1) return;
95
96
97 if (nFiles > 1){
98 for (Int_t iFil = 0; iFil <nFiles ; iFil++) {
99 TString fileNameLong=Form("%s",gr->GetKey(iFil,"turl"));
100 if(!fileNameLong.Contains(recoPass.Data())) continue;
101 if(!fileNameLong.Contains(qaTrain1.Data()) &&
102 !fileNameLong.Contains(qaTrain2.Data())) continue;
103 if(!fileNameLong.Contains(Form("%s/%s",qaTrain1.Data(),fileName.Data())) &&
104 !fileNameLong.Contains(Form("%s/%s",qaTrain2.Data(),fileName.Data()))) continue;
105 TString runNumber=fileNameLong;
106 runNumber.ReplaceAll(Form("alien:///alice/data/%d/%s/",year,period.Data()),"");
107 runNumber.Remove(9,runNumber.Sizeof());
108
109 Int_t iRun=atoi(runNumber.Data());
110 if(readRun->TestBitNumber(iRun)){
111 printf("Run %d aleady in local ntuple -> skipping it\n",iRun);
112 continue;
113 }
114 if(iRun<firstRun) continue;
115 if(iRun>lastRun) continue;
116
117 TFile* f=TFile::Open(fileNameLong.Data());
118
119 TDirectoryFile* df=(TDirectoryFile*)f->Get("SDD_Performance");
120 if(!df){
121 printf("Run %d SDD_Performance MISSING -> Exit\n",iRun);
122 continue;
123 }
124 TList* l=(TList*)df->Get("coutputRP");
125 if(!df){
126 printf("Run %d coutputRP TList MISSING -> Exit\n",iRun);
127 continue;
128 }
129 TH1F* hcllay=(TH1F*)l->FindObject("hCluInLay");
130 Float_t fracT[6]={0.,0.,0.,0.,0.,0.};
131 Float_t efracT[6]={0.,0.,0.,0.,0.,0.};
132 if(hcllay->GetBinContent(1)>0){
133 for(Int_t iLay=0; iLay<6; iLay++){
134 fracT[iLay]=hcllay->GetBinContent(iLay+2)/hcllay->GetBinContent(1);
135 efracT[iLay]=TMath::Sqrt(fracT[iLay]*(1-fracT[iLay])/hcllay->GetBinContent(1));
136 }
137 }
138 TH1F* hmodT=(TH1F*)l->FindObject("hTPMod");
139 TH1F* hgamod=(TH1F*)l->FindObject("hGAMod");
140 Int_t bestMod=0;
141 for(Int_t iMod=0; iMod<260;iMod++){
142 Int_t gda=(Int_t)hgamod->GetBinContent(iMod+1);
143 if(gda>bestMod) bestMod=gda;
144 }
145 Int_t nChunks=1;
146 if(bestMod>512){
147 nChunks=(Int_t)(bestMod/512.+0.5);
148 }
149 hgamod->Scale(1./nChunks);
150
151 TH1F* hev=(TH1F*)l->FindObject("hNEvents");
152 Int_t nTotEvents=hev->GetBinContent(2);
153 Int_t nTrigEvents=hev->GetBinContent(3);
154 Int_t nEvents=nTotEvents;
155 printf("Run %d Number of Events = %d Triggered=%d\n",iRun,nTotEvents,nTrigEvents);
156 if(nTrigEvents>0){
157 nEvents=nTrigEvents;
158 }
159
160 Int_t nModGood3=0;
161 Int_t nModGood4=0;
162 Int_t nModBadAn=0;
163 Float_t sumtp3=0;
164 Float_t sumtp4=0;
165 Float_t sumEtp3=0;
166 Float_t sumEtp4=0;
167 for(Int_t iMod=0; iMod<260; iMod++){
168 Float_t tps=hmodT->GetBinContent(iMod+1);
169 Float_t ga=hgamod->GetBinContent(iMod+1);
170 if(ga<500) nModBadAn++;
171 Float_t tpsN=0.;
172 Float_t etpsN=0.;
173 if(ga>0){
174 tpsN=tps/ga/(Float_t)nEvents;
175 etpsN=TMath::Sqrt(tps)/ga/(Float_t)nEvents;
176 if(iMod<84){
177 sumtp3+=tpsN;
178 sumEtp3+=(etpsN*etpsN);
179 nModGood3++;
180 }
181 else{
182 sumtp4+=tpsN;
183 sumEtp4+=(etpsN*etpsN);
184 nModGood4++;
185 }
186 }
187 }
188
189 TH1F* htimT=(TH1F*)l->FindObject("hDrTimTPAll");
190 TH1F* htimTe=(TH1F*)l->FindObject("hDrTimTPExtra");
191
192 Double_t fracExtra=0.;
193 Double_t errFracExtra=0.;
194 if(htimT->GetEntries()>0){
195 fracExtra=htimTe->GetEntries()/htimT->GetEntries();
196 errFracExtra=TMath::Sqrt(htimTe->GetEntries())/htimT->GetEntries();
197 }
198 Double_t averPoints=0.;
199 Double_t cntBins=0.;
200 for(Int_t iBin=1; iBin<=htimT->GetNbinsX(); iBin++){
201 Float_t tim=htimT->GetBinCenter(iBin);
202 if(tim>2000. && tim<4000.){
203 averPoints+=htimT->GetBinContent(iBin);
204 cntBins+=1;
205 }
206 }
207 Double_t minTime=-999.;
208 Double_t errMinTime=0.;
209 if(cntBins>0){
210 averPoints/=cntBins;
211 for(Int_t iBin=1; iBin<=htimT->GetNbinsX(); iBin++){
212 if(htimT->GetBinContent(iBin)>0.5*averPoints){
213 minTime=htimT->GetBinCenter(iBin);
214 errMinTime=0.5*htimT->GetBinWidth(iBin);
215 break;
216 }
217 }
218 }
219 TH1F* hSigTim0=(TH1F*)l->FindObject("hSigTimeInt0");
220 TH1F* hSigTim5=(TH1F*)l->FindObject("hSigTimeInt5");
221
222 Int_t index=0;
223 xnt[index++]=(Float_t)iRun;
224 xnt[index++]=fracT[0];
225 xnt[index++]=efracT[0];
226 xnt[index++]=fracT[1];
227 xnt[index++]=efracT[1];
228 xnt[index++]=fracT[2];
229 xnt[index++]=efracT[2];
230 xnt[index++]=fracT[3];
231 xnt[index++]=efracT[3];
232 xnt[index++]=fracT[4];
233 xnt[index++]=efracT[4];
234 xnt[index++]=fracT[5];
235 xnt[index++]=efracT[5];
236 xnt[index++]=sumtp3/nModGood3;
237 xnt[index++]=TMath::Sqrt(sumEtp3)/nModGood3;
238 xnt[index++]=sumtp4/nModGood4;
239 xnt[index++]=TMath::Sqrt(sumEtp4)/nModGood4;
240 xnt[index++]=minTime;
241 xnt[index++]=errMinTime;
242 xnt[index++]=htimT->GetMean();
243 xnt[index++]=htimT->GetMeanError();
244 xnt[index++]=fracExtra;
245 xnt[index++]=errFracExtra;
246 xnt[index++]=hSigTim0->GetMean();
247 xnt[index++]=hSigTim0->GetMeanError();
248 xnt[index++]=hSigTim5->GetMean();
249 xnt[index++]=hSigTim5->GetMeanError();
250
251 ntsdd->Fill(xnt);
252 }
253 }
254
255 TFile* outfil=new TFile(outFilNam.Data(),"recreate");
256 outfil->cd();
257 ntsdd->Write();
258 outfil->Close();
259
260 MakePlots(outFilNam);
261
262}
263
264void MakePlots(TString ntupleFileName){
265 TFile* fil=new TFile(ntupleFileName.Data(),"read");
266 if(!fil){
267 printf("File with ntuple does not exist\n");
268 return;
269 }
270 TNtuple* ntsdd=(TNtuple*)fil->Get("ntsdd");
271
272 Float_t nrun;
273 Float_t meanTrPts3,errmeanTrPts3,meanTrPts4,errmeanTrPts4;
274 Float_t minDrTime,errminDrTime,meanDrTime,errmeanDrTime;
275 Float_t fracTrackWithClu1,fracTrackWithClu2,errfracTrackWithClu1,errfracTrackWithClu2;
276 Float_t fracTrackWithClu3,fracTrackWithClu4,errfracTrackWithClu3,errfracTrackWithClu4;
277 Float_t fracTrackWithClu5,fracTrackWithClu6,errfracTrackWithClu5,errfracTrackWithClu6;
278 Float_t fracExtra,errfracExtra;
279 Float_t meandEdxTB0,errmeandEdxTB0,meandEdxTB5,errmeandEdxTB5;
280
281 ntsdd->SetBranchAddress("nrun",&nrun);
282 ntsdd->SetBranchAddress("fracTrackWithClu1",&fracTrackWithClu1);
283 ntsdd->SetBranchAddress("errfracTrackWithClu1",&errfracTrackWithClu1);
284 ntsdd->SetBranchAddress("fracTrackWithClu2",&fracTrackWithClu2);
285 ntsdd->SetBranchAddress("errfracTrackWithClu2",&errfracTrackWithClu2);
286 ntsdd->SetBranchAddress("fracTrackWithClu3",&fracTrackWithClu3);
287 ntsdd->SetBranchAddress("errfracTrackWithClu3",&errfracTrackWithClu3);
288 ntsdd->SetBranchAddress("fracTrackWithClu4",&fracTrackWithClu4);
289 ntsdd->SetBranchAddress("errfracTrackWithClu4",&errfracTrackWithClu4);
290 ntsdd->SetBranchAddress("fracTrackWithClu5",&fracTrackWithClu5);
291 ntsdd->SetBranchAddress("errfracTrackWithClu5",&errfracTrackWithClu5);
292 ntsdd->SetBranchAddress("fracTrackWithClu6",&fracTrackWithClu6);
293 ntsdd->SetBranchAddress("errfracTrackWithClu6",&errfracTrackWithClu6);
294
295 ntsdd->SetBranchAddress("meanTrPts3",&meanTrPts3);
296 ntsdd->SetBranchAddress("errmeanTrPts3",&errmeanTrPts3);
297 ntsdd->SetBranchAddress("meanTrPts4",&meanTrPts4);
298 ntsdd->SetBranchAddress("errmeanTrPts4",&errmeanTrPts4);
299 ntsdd->SetBranchAddress("minDrTime",&minDrTime);
300 ntsdd->SetBranchAddress("errminDrTime",&errminDrTime);
301 ntsdd->SetBranchAddress("meanDrTime",&meanDrTime);
302 ntsdd->SetBranchAddress("errmeanDrTime",&errmeanDrTime);
303 ntsdd->SetBranchAddress("fracExtra",&fracExtra);
304 ntsdd->SetBranchAddress("errfracExtra",&errfracExtra);
305 ntsdd->SetBranchAddress("meandEdxTB0",&meandEdxTB0);
306 ntsdd->SetBranchAddress("errmeandEdxTB0",&errmeandEdxTB0);
307 ntsdd->SetBranchAddress("meandEdxTB5",&meandEdxTB5);
308 ntsdd->SetBranchAddress("errmeandEdxTB5",&errmeandEdxTB5);
309
310 TH1F* histotrp3=new TH1F("histotrp3","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
311 TH1F* histotrp4=new TH1F("histotrp4","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
312 TH1F* histominTime=new TH1F("histominTime","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
313 TH1F* histomeanTime=new TH1F("histomeanTime","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
314 TH1F* histofracExtra=new TH1F("histofracExtra","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
315 TH1F* histodEdxTB0=new TH1F("histodEdxTB0","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
316 TH1F* histodEdxTB5=new TH1F("histodEdxTB5","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
317 TH1F* histoTrackClu1=new TH1F("histoTrackClu1","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
318 TH1F* histoTrackClu2=new TH1F("histoTrackClu2","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
319 TH1F* histoTrackClu3=new TH1F("histoTrackClu3","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
320 TH1F* histoTrackClu4=new TH1F("histoTrackClu4","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
321 TH1F* histoTrackClu5=new TH1F("histoTrackClu5","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
322 TH1F* histoTrackClu6=new TH1F("histoTrackClu6","",(Int_t)ntsdd->GetEntries(),0.,ntsdd->GetEntries());
323
324
325 for(Int_t i=0; i<ntsdd->GetEntries();i++){
326 ntsdd->GetEvent(i);
327 histoTrackClu1->SetBinContent(i+1,fracTrackWithClu1);
328 histoTrackClu1->SetBinError(i+1,errfracTrackWithClu1);
329 histoTrackClu1->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
330 histoTrackClu2->SetBinContent(i+1,fracTrackWithClu2);
331 histoTrackClu2->SetBinError(i+1,errfracTrackWithClu2);
332 histoTrackClu2->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
333 histoTrackClu3->SetBinContent(i+1,fracTrackWithClu3);
334 histoTrackClu3->SetBinError(i+1,errfracTrackWithClu3);
335 histoTrackClu3->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
336 histoTrackClu4->SetBinContent(i+1,fracTrackWithClu4);
337 histoTrackClu4->SetBinError(i+1,errfracTrackWithClu4);
338 histoTrackClu4->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
339 histoTrackClu5->SetBinContent(i+1,fracTrackWithClu5);
340 histoTrackClu5->SetBinError(i+1,errfracTrackWithClu5);
341 histoTrackClu5->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
342 histoTrackClu6->SetBinContent(i+1,fracTrackWithClu6);
343 histoTrackClu6->SetBinError(i+1,errfracTrackWithClu6);
344 histoTrackClu6->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
345 histominTime->SetBinContent(i+1,minDrTime);
346 histominTime->SetBinError(i+1,errminDrTime);
347 histominTime->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
348 histomeanTime->SetBinContent(i+1,meanDrTime);
349 histomeanTime->SetBinError(i+1,errmeanDrTime);
350 histomeanTime->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
351 histotrp3->SetBinContent(i+1,meanTrPts3);
352 histotrp3->SetBinError(i+1,errmeanTrPts3);
353 histotrp3->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
354 histotrp4->SetBinContent(i+1,meanTrPts4);
355 histotrp4->SetBinError(i+1,errmeanTrPts3);
356 histotrp4->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
357 histofracExtra->SetBinContent(i+1,fracExtra);
358 histofracExtra->SetBinError(i+1,errfracExtra);
359 histofracExtra->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
360 histodEdxTB0->SetBinContent(i+1,meandEdxTB0);
361 histodEdxTB0->SetBinError(i+1,errmeandEdxTB0);
362 histodEdxTB0->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
363 histodEdxTB5->SetBinContent(i+1,meandEdxTB5);
364 histodEdxTB5->SetBinError(i+1,errmeandEdxTB5);
365 histodEdxTB5->GetXaxis()->SetBinLabel(i+1,Form("%d",(Int_t)nrun));
366 }
367
368 gStyle->SetOptStat(0);
369
370
371 TCanvas* c1=new TCanvas("c1","Occupancy");
372 histotrp3->SetLineColor(1);
373 histotrp3->SetMarkerStyle(20);
374 histotrp3->Draw();
375 histotrp3->SetMinimum(0.);
376 histotrp4->SetLineColor(2);
377 histotrp4->SetMarkerColor(2);
378 histotrp4->SetMarkerStyle(22);
379 histotrp4->Draw("same");
380 histotrp3->GetYaxis()->SetTitle("Track Point Occupancy");
381 TLegend* leg=new TLegend(0.7,0.15,0.88,0.35);
382 TLegendEntry* ent=leg->AddEntry(histotrp3,"Layer3","PL");
383 ent=leg->AddEntry(histotrp4,"Layer4","PL");
384 ent->SetTextColor(histotrp4->GetMarkerColor());
385 leg->SetFillStyle(0);
386 leg->Draw();
387 c1->Update();
388
389 TCanvas* c2=new TCanvas("c2","DriftTime",600,900);
390 c2->Divide(1,2);
391 c2->cd(1);
392 histominTime->Draw();
393 histominTime->SetMinimum(250);
394 histominTime->SetMaximum(1000);
395 histominTime->GetYaxis()->SetTitle("Minimum Drift Time (ns)");
396 c2->cd(2);
397 histomeanTime->Draw();
398 histomeanTime->GetYaxis()->SetTitle("Average Drift Time (ns)");
399 c2->Update();
400
401 TCanvas* c3=new TCanvas("c3","ExtraClusters");
402 histofracExtra->Draw();
403 histofracExtra->GetYaxis()->SetTitle("Fraction of Extra Clusters");
404 c3->Update();
405
406
407 TCanvas* c4=new TCanvas("c4","Charge");
408 histodEdxTB0->SetLineColor(1);
409 histodEdxTB0->SetMarkerStyle(20);
410 histodEdxTB0->Draw();
411 histodEdxTB0->SetMinimum(0.);
412 histodEdxTB5->SetLineColor(4);
413 histodEdxTB5->SetMarkerColor(4);
414 histodEdxTB5->SetMarkerStyle(23);
415 histodEdxTB5->Draw("same");
416 histodEdxTB0->GetYaxis()->SetTitle("<dE/dx> (keV/300 #mum)");
417 TLegend* leg2=new TLegend(0.6,0.15,0.88,0.35);
418 ent=leg2->AddEntry(histodEdxTB0,"Small drift time","PL");
419 ent=leg2->AddEntry(histodEdxTB5,"Large drift time","PL");
420 ent->SetTextColor(histodEdxTB5->GetMarkerColor());
421 leg2->SetFillStyle(0);
422 leg2->Draw();
423 c4->Update();
424
425 TCanvas* c5=new TCanvas("c5","TrackWithSDD");
426 histoTrackClu3->Draw();
427 histoTrackClu3->SetLineColor(1);
428 histoTrackClu3->SetMarkerStyle(20);
429 histoTrackClu3->Draw();
430 histoTrackClu3->SetMinimum(0.);
431 histoTrackClu4->SetLineColor(2);
432 histoTrackClu4->SetMarkerColor(2);
433 histoTrackClu4->SetMarkerStyle(22);
434 histoTrackClu4->Draw("same");
435 histoTrackClu1->SetLineColor(kGray+1);
436 histoTrackClu1->SetMarkerColor(kGray+1);
437 histoTrackClu1->SetMarkerStyle(24);
438 histoTrackClu1->Draw("same");
439 histoTrackClu2->SetLineColor(kGray+2);
440 histoTrackClu2->SetMarkerColor(kGray+2);
441 histoTrackClu2->SetMarkerStyle(26);
442 histoTrackClu2->Draw("same");
443 histoTrackClu5->SetLineColor(4);
444 histoTrackClu5->SetMarkerColor(4);
445 histoTrackClu5->SetMarkerStyle(29);
446 histoTrackClu5->Draw("same");
447 histoTrackClu6->SetLineColor(kBlue+1);
448 histoTrackClu6->SetMarkerColor(kBlue+1);
449 histoTrackClu6->SetMarkerStyle(30);
450 histoTrackClu6->Draw("same");
451 histoTrackClu3->GetYaxis()->SetTitle("Fraction of Tracks with Point in SDD Layers");
452 TLegend* leg3=new TLegend(0.7,0.15,0.88,0.35);
453 ent=leg3->AddEntry(histoTrackClu1,"Layer1","PL");
454 ent->SetTextColor(histoTrackClu1->GetMarkerColor());
455 ent=leg3->AddEntry(histoTrackClu2,"Layer2","PL");
456 ent->SetTextColor(histoTrackClu2->GetMarkerColor());
457 ent=leg3->AddEntry(histoTrackClu3,"Layer3","PL");
458 ent->SetTextColor(histoTrackClu3->GetMarkerColor());
459 ent=leg3->AddEntry(histoTrackClu4,"Layer4","PL");
460 ent->SetTextColor(histoTrackClu4->GetMarkerColor());
461 ent=leg3->AddEntry(histoTrackClu5,"Layer5","PL");
462 ent->SetTextColor(histoTrackClu5->GetMarkerColor());
463 ent=leg3->AddEntry(histoTrackClu6,"Layer6","PL");
464 ent->SetTextColor(histoTrackClu6->GetMarkerColor());
465
466 leg3->SetFillStyle(0);
467 leg3->Draw();
468 c5->Update();
469
470}
471
472Double_t LangausFun(Double_t *x, Double_t *par) {
473
474 //Fit parameters:
475 //par[0]=Width (scale) parameter of Landau density
476 //par[1]=Most Probable (MP, location) parameter of Landau density
477 //par[2]=Total area (integral -inf to inf, normalization constant)
478 //par[3]=Width (sigma) of convoluted Gaussian function
479 //
480 //In the Landau distribution (represented by the CERNLIB approximation),
481 //the maximum is located at x=-0.22278298 with the location parameter=0.
482 //This shift is corrected within this function, so that the actual
483 //maximum is identical to the MP parameter.
484
485 // Numeric constants
486 Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2)
487 Double_t mpshift = -0.22278298; // Landau maximum location
488
489 // Control constants
490 Double_t np = 100.0; // number of convolution steps
491 Double_t sc = 5.0; // convolution extends to +-sc Gaussian sigmas
492
493 // Variables
494 Double_t xx;
495 Double_t mpc;
496 Double_t fland;
497 Double_t sum = 0.0;
498 Double_t xlow,xupp;
499 Double_t step;
500 Double_t i;
501
502
503 // MP shift correction
504 mpc = par[1] - mpshift * par[0];
505
506 // Range of convolution integral
507 xlow = x[0] - sc * par[3];
508 xupp = x[0] + sc * par[3];
509
510 step = (xupp-xlow) / np;
511
512 // Convolution integral of Landau and Gaussian by sum
513 for(i=1.0; i<=np/2; i++) {
514 xx = xlow + (i-.5) * step;
515 fland = TMath::Landau(xx,mpc,par[0]) / par[0];
516 sum += fland * TMath::Gaus(x[0],xx,par[3]);
517
518 xx = xupp - (i-.5) * step;
519 fland = TMath::Landau(xx,mpc,par[0]) / par[0];
520 sum += fland * TMath::Gaus(x[0],xx,par[3]);
521 }
522
523 return (par[2] * step * sum * invsq2pi / par[3]);
524}