0f99a50ffba3acfed995b51458f31905d7eee619
[u/mrichter/AliRoot.git] / ITS / macrosSDD / TrendQAtrainSDD.C
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
23 Double_t LangausFun(Double_t *x, Double_t *par);
24 void MakePlots(TString ntupleFileName);
25
26
27 void 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
264 void 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
472 Double_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 }