19 #include <Riostream.h>
20 #include "TObjString.h"
21 #include "TObjArray.h"
27 #include "TDirectory.h"
33 #include "TGridResult.h"
34 #include "TGraphAsymmErrors.h"
44 #include "TFileMerger.h"
45 #include "TFitResultPtr.h"
48 #include "AliMergeableCollection.h"
49 #include "AliCounterCollection.h"
51 #include "AliAnalysisMuonUtility.h"
54 #include "AliCDBManager.h"
55 #include "AliCDBStorage.h"
57 #include "AliCDBEntry.h"
58 #include "AliMUONCDB.h"
59 #include "AliMUONTriggerEfficiencyCells.h"
107 return SetCondition(physSel, trigClassName, centrality, itrackSel, imatch, imethod, kFALSE);
115 if ( ! trigOut->GetMergeableCollection() ) {
116 AliError(Form(
"Cannot find %s in %s",outputName,filename));
132 if ( idxFromRun >= 0 ) obj =
fRunMap[idxFromRun];
135 obj->SetUniqueID(
fRunMap.size());
154 if ( irpc == 0 || irpc == 9 ) {
155 Int_t arr[] = {26,27,28,29,48,49,50,51,68,69,84,85,100,101,113};
156 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
157 boards.Set(nBoards,arr);
159 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
161 else if ( irpc == 1 || irpc == 8 ) {
162 Int_t arr[] = {9,10,11,30,31,32,33,52,53,54,55,70,71,86,87,102,103,114};
163 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
164 boards.Set(nBoards,arr);
166 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
168 else if ( irpc == 2 || irpc == 7 ) {
169 Int_t arr[] = {12,13,34,35,56,57,72,73,88,89,104,105,115};
170 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
171 boards.Set(nBoards,arr);
173 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
175 else if ( irpc == 3 || irpc == 6 ) {
176 Int_t arr[] = {14,15,36,37,58,59,74,75,90,91,106,107,116};
177 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
178 boards.Set(nBoards,arr);
180 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
182 else if ( irpc == 4 || irpc == 5 ) {
183 Int_t arr[] = {16,38,60,76,92,108,117};
184 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
185 boards.Set(nBoards,arr);
187 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
189 else if ( irpc == 17 || irpc == 10 ) {
190 Int_t arr[] = {6,7,8,22,23,24,25,44,45,46,47,66,67,82,83,98,99,112};
191 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
192 boards.Set(nBoards,arr);
194 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
196 else if ( irpc == 16 || irpc == 11 ) {
197 Int_t arr[] = {4,5,20,21,42,43,64,65,80,81,96,97,111};
198 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
199 boards.Set(nBoards,arr);
201 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
203 else if ( irpc == 15 || irpc == 12 ) {
204 Int_t arr[] = {2,3,18,19,40,41,62,63,78,79,94,95,110};
205 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
206 boards.Set(nBoards,arr);
208 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
210 else if ( irpc == 14 || irpc == 13 ) {
211 Int_t arr[] = {1,17,39,61,77,93,109};
212 Int_t nBoards =
sizeof(arr)/
sizeof(arr[0]);
213 boards.Set(nBoards,arr);
215 for (
Int_t iboard=0; iboard<nBoards; iboard++ ) boards[iboard] += 117;
227 clonedEffHistos->SetOwner();
228 TIter next(effHistos);
230 while ( (obj = next()) ) {
231 clonedEffHistos->Add(obj->Clone());
233 return clonedEffHistos;
242 AliInfo(
"Building efficiency map for systematic uncertainties");
245 Double_t xref=0., yref=0., xpt=0., ypt=0.;
250 std::vector<std::string> systKeys = obj->GetSortKeys();
251 Int_t nSysts = systKeys.size();
254 TList* effHistos = obj->GetEffHistoList(
fConditions->UncheckedAt(0)->GetName());
257 for (
Int_t ich=0; ich<4; ich++ ) {
260 std::vector<TGraphAsymmErrors*> checkEffList;
261 checkEffList.reserve(nSysts);
262 std::vector<TGraphAsymmErrors*> refEffList;
263 refEffList.reserve(3);
264 std::vector<TH1*> histoList, systHistoList;
265 histoList.reserve(nSysts*4);
266 systHistoList.reserve(4);
267 for (
Int_t isyst=0; isyst<nSysts; isyst++ ) {
268 effHistos = obj->GetEffHistoList(systKeys[isyst].c_str());
269 for (
Int_t icount=0; icount<4; icount++ ) {
271 histoList[4*isyst+icount] =
static_cast<TH1*
>(effHistos->FindObject(currName.Data()));
273 systHistoList[icount] =
static_cast<TH1*
>(systematicList->FindObject(currName.Data()));
279 checkEffList[isyst] =
new TGraphAsymmErrors(histoList[inum],histoList[iden],
"e0");
281 for (
Int_t icount=0; icount<3; icount++ ) {
291 for (
Int_t ipt=0; ipt<refGraph->GetN(); ipt++ ) {
292 refGraph->GetPoint(ipt,xref,yref);
293 Int_t chosenSyst = -1;
295 for (
Int_t isyst=1; isyst<nSysts; isyst++ ) {
297 graph->GetPoint(ipt,xpt,ypt);
299 Double_t err = (diff > 0.) ? graph->GetErrorYlow(ipt) : graph->GetErrorYhigh(ipt);
300 Double_t absDiff = TMath::Abs(diff);
301 if ( absDiff < nSigmas*err )
continue;
302 if ( foundAbsDiff < absDiff ) {
303 foundAbsDiff = absDiff;
309 AliDebug(2,Form(
"Chamber %i board %i systematicCondition %i",11+ich,ibin,chosenSyst));
310 if ( chosenSyst >= 0 ) {
311 for (
Int_t icount=0; icount<4; icount++ ) {
312 systHistoList[icount]->SetBinContent(ibin,histoList[4*chosenSyst+icount]->GetBinContent(ibin));
318 for (
Int_t icount=0; icount<3; icount++ ) {
320 graph->GetPoint(ipt,xpt,ypt);
321 Double_t errHigh = graph->GetErrorYhigh(ipt);
322 Double_t errLow = graph->GetErrorYlow(ipt);
323 Double_t newEff = ( errLow > errHigh ) ? ypt - errLow : ypt + errHigh;
324 Double_t newCount = TMath::Nint(newEff * countAll);
325 if ( newCount < 0 || newCount > countAll ) {
326 TString warning = Form(
"WARNING: ch %i board %i cath %i systDiff %g newEff %g / %g",11+ich,ibin,icount,newEff-yref,newCount,countAll);
327 if ( newCount < 0 ) newCount = 0;
328 else newCount = countAll;
329 warning += Form(
" => setting numerator to %g",newCount);
330 AliWarning(warning.Data());
332 systHistoList[icount]->SetBinContent(ibin,newCount);
336 checkEffList.clear();
339 obj->AddEffHistoList(
"Systematics",systematicList);
350 if ( srcs.Contains(
"raw://") ) {
351 AliError(
"The method assumes that the specified storage is a SpecificStorage. Hence, please replace raw:// with the actual path in alien, e.g.: alien://folder=/alice/data/<year>/OCDB");
354 TObjArray* sourceList = srcs.Tokenize(
",");
356 effHistoLists.SetOwner();
358 TIter next(sourceList);
359 TObjString* src = 0x0;
360 while ( (src = static_cast<TObjString*>(next())) ) {
362 if ( ! readList )
continue;
363 effHistoLists.Add(readList);
375 TObjArray* titleList = sTitles.Tokenize(
",");
379 Int_t nLists = effHistoLists->GetEntriesFast();
381 TString sCanvasNameSuffix(canvasNameSuffix);
382 if ( ! sCanvasNameSuffix.IsNull() && ! sCanvasNameSuffix.BeginsWith(
"_") ) sCanvasNameSuffix.Prepend(
"_");
385 enum {kEff, kDiff, kPull};
390 if ( sOpt.Contains(
"diff") ) {
392 yTitle =
"Eff. - (ref.Eff)";
394 else if ( sOpt.Contains(
"pull") ) {
396 yTitle =
"(Eff - (ref.Eff)) / err";
400 if ( iopt != kEff && nLists <2 ) {
401 AliError(Form(
"You ask for %s but you only provided one set of histograms: nothing done",opt));
405 Bool_t needsLegend = ( nLists > 1 );
408 Int_t colors[] = {kBlack, kRed, kSpring, kTeal, kBlue, kViolet, kMagenta, kOrange, kGray};
416 for (
Int_t itype=0; itype<2; itype++ ) {
418 for (
Int_t icount=0; icount<3; icount++ ) {
420 for (
Int_t ich=0; ich<4; ich++ ) {
425 for (
Int_t ilist=0; ilist<nLists; ilist++ ) {
426 TString currTitle = titleList->At(ilist)->GetName();
427 TList* effHistos =
static_cast<TList*
>(effHistoLists->UncheckedAt(ilist));
429 TH1* histoDen =
static_cast<TH1*
>(effHistos->FindObject(currName.Data()));
431 TH1* histoNum =
static_cast<TH1*
>(effHistos->FindObject(currName.Data()));
433 currName = histoNum->GetName();
434 currName.ReplaceAll(
"Count",
"Eff");
435 currName.Append(Form(
"_%s",currTitle.Data()));
436 graph->SetName(currName.Data());
438 if ( iopt != kEff ) {
440 for (
Int_t ipt=0; ipt<graph->GetN(); ipt++ ) {
441 refGraph->GetPoint(ipt,xref,yref);
442 graph->GetPoint(ipt,xpt,ypt);
444 if ( TMath::Abs(diff) > 1.e-4 ) nDiffs++;
445 if ( iopt == kDiff ) graph->SetPoint(ipt,xpt,diff);
446 else if ( iopt == kPull ) {
447 Double_t err =
GetError(graph->GetErrorYlow(ipt),graph->GetErrorYhigh(ipt));
448 Double_t pull = ( err > 0. ) ? diff/err : 0.;
449 graph->SetPoint(ipt,xpt,pull);
460 currName = graph->GetName();
461 currName.Remove(currName.Length()-currTitle.Length()-5);
462 currName += sCanvasNameSuffix;
463 can =
new TCanvas(currName.Data(),currName.Data(),20*ican,20*ican,600,600);
467 if ( needsLegend && ! leg ) {
468 leg =
new TLegend(0.35, 0.15, 0.65, 0.45);
469 if ( refGraph ) leg->SetHeader(Form(
"Ref.: %s",titleList->At(0)->GetName()));
473 Int_t icolor = ( ilist < ncolors ) ? colors[ilist] : 20+ilist;
474 graph->SetLineColor(icolor);
475 graph->SetMarkerColor(icolor);
476 graph->SetMarkerStyle(20+ilist);
477 graph->SetMarkerSize(0.5);
478 graph->GetXaxis()->SetTitle(xTitle.Data());
479 graph->GetYaxis()->SetTitle(yTitle.Data());
480 graph->Draw((gPad->GetListOfPrimitives()->GetEntries()==0)?
"ap":
"p");
481 if ( leg ) leg->AddEntry(graph,titleList->At(ilist)->GetName(),
"lp");
483 if (leg ) leg->Draw();
499 AliWarning(
"No condition found! Please specify the default efficiency condition with SetEffConditions and then add additional tests with AddSystematicCondition");
509 effHistoLists.SetOwner();
511 for (
Int_t icond=0; icond<nConditions; icond++ ) {
516 effHistoLists.Add(effHistos);
517 titles += Form(
"%s,",condTitle.Data());
520 titles.Remove(TString::kTrailing,
',');
531 AliWarning(
"There is only one merged object: nothing to compare to");
535 AliInfo(
"Comparing the merged efficiencies");
544 TList* effHistos = obj->GetEffHistoList(condition->GetName());
545 effHistoList.Add(effHistos);
546 titles += Form(
"%i_%i,",obj->GetMinRun(),obj->GetMaxRun());
548 titles.Remove(TString::kTrailing,
',');
595 TDirectory *savdir = gDirectory;
596 TDirectory *adir = savdir->mkdir(source->GetName());
600 TIter nextkey(source->GetListOfKeys());
601 while ((key = (TKey*)nextkey())) {
602 const char *classname = key->GetClassName();
603 TClass *cl = gROOT->GetClass(classname);
605 if (cl->InheritsFrom(TDirectory::Class())) {
606 source->cd(key->GetName());
607 TDirectory *subdir = gDirectory;
611 }
else if (cl->InheritsFrom(TTree::Class())) {
614 TTree *newT = T->CloneTree(-1,
"fast");
620 obj->Write(obj->GetName(),TObject::kSingleKey);
624 adir->SaveSelf(kTRUE);
636 Bool_t isGrid = (! sPattern.IsNull());
638 if ( sOutDir.IsNull() ) {
640 TString data = sPath(TRegexp(
"/data/"));
641 TString year = sPath(TRegexp(
"/20[0-9][0-9]/"));
642 TString period = sPath(TRegexp(
"/LHC[0-9][0-9][a-z]"));
644 TString pass = AliAnalysisMuonUtility::GetPassName(path);
645 if ( pass.IsNull() ) pass = AliAnalysisMuonUtility::GetPassName(pattern);
646 sOutDir = data+year+period+pass;
647 sOutDir.ReplaceAll(
"//",
"/");
648 sOutDir.Remove(TString::kTrailing,
'/');
649 sOutDir.Remove(TString::kLeading,
'/');
651 else sOutDir = sPath;
652 sOutDir.Remove(TString::kTrailing,
'/');
653 sOutDir.Remove(TString::kLeading,
'/');
656 TGridResult* res = 0x0;
659 if ( ! gGrid ) TGrid::Connect(
"alien://");
660 res = gGrid->Query(path,pattern);
663 if (
gSystem->Exec(
"which curl &> /dev/null") == 0 ) hasCurl = kTRUE;
668 ofstream outFile(localFileList);
671 Bool_t overwrite = kFALSE;
672 for (
Int_t irun=0; irun<rl->GetEntries(); irun++ ) {
673 TString run =
static_cast<TObjString*
>(rl->At(irun))->String();
674 TString dest = Form(
"%s/%09i/QAresults.root",sOutDir.Data(),run.Atoi());
676 if (
gSystem->AccessPathName(destDir.Data()) )
ExecCommand(Form(
"mkdir -p %s",destDir.Data()),kFALSE);
679 if (
gSystem->AccessPathName(dest) == 0 ) {
682 cout <<
"Local file " << dest.Data() <<
" already exist: overwrite? [y/n/ya/na (a=use decision for all)]" << endl;
684 if ( decision.EndsWith(
"a") ) prompt = kFALSE;
685 if ( decision.BeginsWith(
"y") ) overwrite = kTRUE;
686 else overwrite = kFALSE;
688 copyFile = overwrite;
693 for (
Int_t ifile=0; ifile<res->GetEntries(); ifile++ ) {
694 TString inFilename = res->GetKey(ifile,
"turl");
695 if ( inFilename.Contains(run.Data()) ) {
700 if ( src.IsNull() ) {
701 AliWarning(Form(
"Cannot find output for run %s",run.Data()));
705 TFile* outFile = TFile::Open(dest,
"RECREATE");
706 TFile* inFile = TFile::Open(src);
708 TDirectory* dir =
static_cast<TDirectory*
>(inFile->Get(directory));
713 else isFileOk = kFALSE;
719 src = Form(
"http://aliqamu.web.cern.ch/aliqamu/%s",dest.Data());
723 Int_t cmdOut =
gSystem->Exec(Form(
"curl -f -# -o %s %s",dest.Data(),src.Data()));
724 isFileOk = ( cmdOut == 0 );
726 else isFileOk = TFile::Cp(src.Data(),dest.Data());
730 if ( isFileOk ) outFile <<
gSystem->pwd() <<
"/" << dest.Data() << endl;
732 AliWarning(Form(
"Problem getting run %s",run.Data()));
745 TString baseNames[3] = {
"Chamber",
"RPC",
"Board"};
746 TString base = baseNames[itype] +
"Eff";
749 AliWarning(
"Please specify RPC");
752 base += Form(
"InRPC%i",irpc);
772 for (
Int_t ich=0; ich<nCh; ich++ ) {
775 TCanvas* can =
new TCanvas(canName.Data(),canName.Data(),25*ich,25*ich,width,height);
776 can->Divide(nColumns,nRows,0,0);
779 for (
Int_t idetelem=0; idetelem<nDetEl; idetelem++ ) {
783 Int_t detElemId = idetelem;
788 TLegend* leg =
new TLegend(0.2,0.15,0.8,0.4);
789 leg->SetHeader(title.Data());
790 for (
Int_t icount=0; icount<2; icount++ ) {
792 gr->SetLineColor(icount+1);
793 gr->SetMarkerColor(icount+1);
794 gr->SetMarkerStyle(24+2*icount);
795 gr->GetYaxis()->SetRangeUser(minEff,maxEff);
796 gr->GetXaxis()->SetLabelSize(0.07);
800 gr->Draw(icount==0?
"ap":
"p");
801 TString legTitle = ( icount==0 ) ?
"bending plane" :
"non-bending plane";
802 leg->AddEntry(gr,legTitle.Data(),
"lp");
803 if ( maxNsigmaOutliers > 0. ) {
805 outliers->SetLineColor(6+icount);
806 outliers->SetMarkerColor(6+icount);
807 outliers->SetMarkerStyle(20+2*icount);
808 outliers->SetLineWidth(2);
810 legTitle.ReplaceAll(
"plane",
"outliers");
811 leg->AddEntry(outliers,legTitle.Data(),
"lp");
825 AliWarning(
"This function is valid only for itype 1 and 2");
829 TString baseNames[3] = {
"Chamber",
"RPC",
"Board"};
830 TString base = baseNames[itype] +
"Stat";
833 AliWarning(
"Please specify RPC");
836 base += Form(
"InRPC%i",irpc);
849 for (
Int_t ich=0; ich<nCh; ich++ ) {
851 TH1* sumHistos = 0x0;
852 for (
Int_t idetelem=0; idetelem<nDetEl; idetelem++ ) {
853 Int_t detElemId = idetelem;
856 histos[idetelem]->SetName(Form(
"%s_stat",histos[idetelem]->GetName()));
857 histos[idetelem]->SetStats(0);
858 if ( sumHistos ) sumHistos->Add(histos[idetelem]);
859 else sumHistos =
static_cast<TH1*
>(histos[idetelem]->Clone(
"sumHistos"));
863 TCanvas* can =
new TCanvas(canName.Data(),canName.Data(),25*ich,25*ich,width,height);
864 can->Divide(nColumns,nRows,0,0);
865 for (
Int_t idetelem=0; idetelem<nDetEl; idetelem++ ) {
869 Int_t detElemId = idetelem;
872 TLegend* leg =
new TLegend(0.2,0.65,0.8,0.9);
873 leg->SetHeader(title.Data());
875 gr->SetHistogram(static_cast<TH1F*>(histos[idetelem]));
877 gr->SetMarkerStyle(24);
878 gr->SetMarkerSize(0.5);
879 gr->GetYaxis()->SetRangeUser(minY,maxY);
880 gr->GetYaxis()->SetTitle(Form(
"Tracks in %s / Sum of tracks of %ss in %s",baseNames[itype].
Data(),baseNames[itype].
Data(),baseNames[itype-1].
Data()));
885 if ( maxNsigmaOutliers > 0. ) {
887 outliers->SetLineColor(6);
888 outliers->SetMarkerColor(6);
889 outliers->SetMarkerStyle(20);
890 outliers->SetLineWidth(2);
892 legTitle =
"outliers";
893 leg->AddEntry(outliers,legTitle.Data(),
"lp");
908 AliInfo(
"Drawing the systematic variations");
910 Int_t colors[] = {kBlack, kRed, kSpring, kTeal, kBlue, kViolet, kMagenta, kOrange, kGray};
922 std::vector<std::string> systKeys = obj->GetSortKeys();
923 std::vector<std::string> shortSystName;
924 for ( std::string
str : systKeys ) {
927 Int_t nSysts = systKeys.size();
929 TString baseName = Form(
"mergedTrigEff_%i_%i",obj->GetMinRun(),obj->GetMaxRun());
936 for (
Int_t iplane=0; iplane<8; iplane++ ) {
937 effGraphs[iplane].SetOwner();
942 for (
Int_t isyst=0; isyst<nSysts; isyst++ ) {
943 TList* effHistos = obj->GetEffHistoList(systKeys[isyst].c_str());
944 effHistoLists.Add(effHistos);
945 titles += Form(
"%s,",shortSystName[isyst].c_str());
947 for (
Int_t ich=0; ich<4; ich++ ) {
949 TH1* histoDen =
static_cast<TH1*
>(effHistos->FindObject(currName.Data()));
950 for (
Int_t icount=0; icount<2; icount++ ) {
951 Int_t iplane = 4*icount+ich;
953 if ( histoDen->GetEntries() > 0 ) {
955 TH1* histoNum =
static_cast<TH1*
>(effHistos->FindObject(currName.Data()));
958 effGraphs[iplane].AddAtAndExpand(gr,isyst);
962 AliWarning(Form(
"No entries in count %i and ch %i for %s",countTypes[icount],ich,shortSystName[isyst].c_str()));
968 titles.Remove(TString::kTrailing,
',');
972 TString canName = Form(
"EffSyst_%s",baseName.Data());
973 Int_t pos = 25*(imerged+1);
974 TCanvas* can =
new TCanvas(canName.Data(),canName.Data(),pos,pos,1200,800);
975 can->Divide(4,2,0,0);
977 for (
Int_t icount=0; icount<2; icount++ ) {
978 for (
Int_t ich=0; ich<4; ich++ ) {
979 Int_t iplane = 4*icount+ich;
983 TLegend* leg =
new TLegend(0.15,0.7,0.9,0.9);
984 leg->SetHeader(
Namer()->GetHistoName(-1,icount,ich,-1,-1,-1));
986 for (
Int_t isyst=1; isyst<nSysts; isyst++ ) {
987 if ( isEmpty[isyst] == 1 )
continue;
988 TH1* histo =
new TH1D(Form(
"syst_%s_%s_plane%i_ch%i",baseName.Data(),shortSystName[isyst].c_str(),icount,11+ich),
"",200,-0.1,0.1);
989 histo->GetXaxis()->SetTitle(
"Eff.-(ref.Eff.)");
990 histo->GetYaxis()->SetTitle(
"1/#sigma^{2}");
994 for (
Int_t ipt=0; ipt<gr->GetN(); ipt++ ) {
995 gr->GetPoint(ipt,xpt,ypt);
997 Double_t invErr2 = ( err > 0. ) ? 1./(err*err) : 0.;
998 grRef->GetPoint(ipt,xref,yref);
1001 histo->Fill(diff,invErr2);
1005 sumHisto =
static_cast<TH1*
>(histo->Clone(Form(
"syst_%s_plane%i_ch%i",baseName.Data(),icount,11+ich)));
1006 sumHisto->SetLineColor(1);
1008 leg->AddEntry(sumHisto,
"All systematics",
"l");
1010 else sumHisto->Add(histo);
1011 Int_t icolor = ( isyst < ncolors ) ? colors[isyst] : 20+isyst;
1012 histo->SetLineColor(icolor);
1013 histo->Draw(
"same");
1014 leg->AddEntry(histo,shortSystName[isyst].c_str(),
"l");
1021 canName = Form(
"TriggerEff_3outOf4_syst_%s",baseName.Data());
1023 TCanvas* canSyst =
new TCanvas(canName.Data(),canName.Data(),pos,pos,600,600);
1025 TLegend* leg =
new TLegend(0.15,0.7,0.9,0.4);
1028 for (
Int_t isyst=0; isyst<nSysts; isyst++ ) {
1029 if ( isEmpty[isyst] == 1 )
continue;
1030 histo[isyst] =
new TH1D(Form(
"TriggerEff_syst_%s_%s",shortSystName[isyst].c_str(),baseName.Data()),
"Dispersion of trigger probability (3/4)",200,-0.1,0.1);
1031 histo[isyst]->GetXaxis()->SetTitle(
"Trig. prob. - (ref. trig. prob)");
1032 histo[isyst]->GetYaxis()->SetTitle(
"1/#sigma^{2}");
1035 for (
Int_t ipt=0; ipt<
nDE; ipt++ ) {
1037 for (
Int_t isyst=0; isyst<nSysts; isyst++ ) {
1038 if ( isEmpty[isyst] == 1 )
continue;
1039 Double_t trigProb = 1., trigProbErr2 = 0.;
1040 for (
Int_t icount=0; icount<2; icount++ ) {
1041 for (
Int_t ich=0; ich<4; ich++ ) {
1042 Int_t iplane = 4*icount+ich;
1044 gr->GetPoint(ipt,xpt,ypt);
1046 effErr[ich] =
GetError(gr->GetErrorYlow(ipt),gr->GetErrorYhigh(ipt));
1051 trigProbErr2 += effErr34*effErr34;
1055 refTrigProb = trigProb;
1059 Double_t invErr2 = ( trigProbErr2>0. ) ? 1./trigProbErr2 : 0.;
1060 histo[isyst]->Fill(trigProb-refTrigProb,invErr2);
1065 for (
Int_t isyst=0; isyst<nSysts; isyst++ ) {
1066 if ( isEmpty[isyst] == 1 )
continue;
1067 TString title = ( isyst == 0 ) ?
"All systematics" : shortSystName[isyst].c_str();
1068 Int_t icolor = ( isyst < ncolors ) ? colors[isyst] : 20+isyst;
1069 histo[isyst]->SetLineColor(icolor);
1070 histo[isyst]->Draw((isyst == 0)?
"":
"same");
1071 leg->AddEntry(histo[isyst],title.Data(),
"l");
1072 if ( isyst>0 ) histo[0]->Add(histo[isyst]);
1085 if ( gROOT->IsBatch() ) prompt = kFALSE;
1088 cout << command.Data() <<
" ? [y/n]" << endl;
1093 if ( decision ==
"y" ) {
1094 cout <<
"Executing: " << command.Data() << endl;
1095 gSystem->Exec(command.Data());
1114 Int_t nChanges = par[0];
1116 Int_t matchChange = -1;
1117 for (
Int_t iknot=0; iknot<nChanges; iknot++ ) {
1118 Int_t iparChange = 2*(iknot+1);
1119 Double_t diff = xx - par[iparChange];
1120 if ( diff >= 0. && diff < matchDiff ) {
1122 matchChange = iparChange;
1125 if ( matchChange >= 0 ) val = par[matchChange+1];
1135 TH1* statHisto = 0x0;
1138 TList* effHistoList = obj->GetEffHistoList(
fConditions->UncheckedAt(0)->GetName());
1139 Int_t run = obj->GetMinRun();
1140 if ( run < firstRun || run > lastRun )
continue;
1143 if ( statHisto ) statHisto->Add(histo);
1144 else statHisto =
static_cast<TH1*
>(histo->Clone(
"tmpStatHisto"));
1147 if ( ! statHisto )
return 0.;
1152 Int_t excludeBoardsHalf[] = {1, 17, 39, 61, 77, 93,109,
1153 16, 38, 60, 76, 92, 108, 117,
1154 110, 111, 112, 113, 114, 115, 116};
1155 Int_t nExcludedHalf =
sizeof(excludeBoardsHalf)/
sizeof(excludeBoardsHalf[0]);
1156 for (
Int_t ibin=1; ibin<=statHisto->GetNbinsX(); ibin++ ) {
1158 for (
Int_t iexcl=0; iexcl<nExcludedHalf; iexcl++ ) {
1159 if ( ibin == excludeBoardsHalf[iexcl] || ibin == excludeBoardsHalf[iexcl]+117 ) {
1164 if ( skip )
continue;
1165 statPerDE += statHisto->GetBinContent(ibin);
1170 statPerDE = statHisto->Integral();
1171 nDe = (
Double_t)statHisto->GetNbinsX();
1173 statPerDE = nDe > 0. ? statPerDE/nDe : -1.;
1183 Int_t itrackSel = condition->UncheckedAt(3)->GetUniqueID();
1184 Int_t imatch = condition->UncheckedAt(4)->GetUniqueID();
1185 Int_t imethod = condition->UncheckedAt(5)->GetUniqueID();
1187 return trigOut->
GetEffHistoList(condition->At(0)->GetName(),condition->At(1)->GetName(),condition->At(2)->GetName(),itrackSel,imatch,imethod);
1194 return TMath::Max(errLow,errHigh);
1202 return static_cast<TH1*
>(effHistoList->At(ihisto));
1210 AliInfo(
"Selecting ranges with homogeneous efficiency");
1214 TH1F* hRunChangeCount =
new TH1F(
"runChangeCount",
"Number of RPCs changing efficiency per run",nRuns,-0.5,-0.5+(
Double_t)nRuns);
1215 hRunChangeCount->SetXTitle(
"Run num.");
1216 hRunChangeCount->SetYTitle(
"Num. of RPCs with change in eff.");
1217 for (
Int_t irun=0; irun<nRuns; irun++ ) {
1218 hRunChangeCount->GetXaxis()->SetBinLabel(irun+1,Form(
"%i",
GetRunNumber(irun)));
1223 Int_t nCanvas = perRPC ? 4 : 18;
1226 for (
Int_t irpc=0; irpc<18; irpc++ ) {
1229 Int_t firstDetEl = perRPC ? irpc : 0;
1230 Int_t lastDetEl = perRPC ? irpc : boards.GetSize()-1;
1232 for (
Int_t ich=0; ich<4; ich++ ) {
1233 Int_t ican = perRPC ? ich : irpc;
1234 TCanvas* can =
static_cast<TCanvas*
>(canList.At(ican));
1236 TString canName = perRPC ? Form(
"testRanges_ch%i",11+ich) : Form(
"testRanges_RPC%i",irpc);
1237 can =
new TCanvas(canName.Data(),canName.Data(),10*ich,10*ich,1200,800);
1238 can->Divide(6,3,0,0);
1239 can->SetMargin(0.,0.,0.,0.);
1240 canList.AddAt(can,ican);
1243 for (
Int_t idetel=firstDetEl; idetel<=lastDetEl; idetel++ ) {
1244 Int_t currDE = ( perRPC ) ? idetel : boards[idetel];
1248 trendGraph->GetYaxis()->SetRangeUser(minEff,maxEff);
1251 gPad->SetTicks(1,1);
1252 gPad->SetMargin(0.08,0.,0.08,0.);
1253 TString drawOpt = ( gPad->GetListOfPrimitives()->GetEntries() == 0 ) ?
"ap" :
"p";
1255 TString legendName = Form(
"%s_%i",can->GetName(),currDE);
1256 TLegend* leg =
static_cast<TLegend*
>(gPad->GetListOfPrimitives()->FindObject(legendName.Data()));
1258 leg =
new TLegend(0.2,0.15,0.8,0.4);
1259 leg->SetHeader(Form(
"%s %i",perRPC?
"RPC":
"Board",currDE));
1260 leg->SetName(legendName.Data());
1264 Int_t icolor = ich+1;
1265 trendGraph->SetLineColor(icolor);
1266 trendGraph->SetMarkerColor(icolor);
1267 trendGraph->SetMarkerStyle(24+ich);
1268 TF1* func =
static_cast<TF1*
>(trendGraph->GetListOfFunctions()->At(0));
1270 func->SetLineWidth(2);
1271 func->SetLineColor(icolor);
1274 trendGraph->GetXaxis()->SetLabelSize(0.07);
1275 trendGraph->SetTitle(
"");
1277 trendGraph->Draw(drawOpt.Data());
1278 leg->AddEntry(trendGraph,Form(
"Chamber %i",11+ich),
"lp");
1280 for (
Int_t ichange=2; ichange<range.GetSize(); ichange++ ) {
1282 if ( ichange%2 == 1 )
continue;
1283 Int_t runIdx = range[ichange];
1285 TLine* line =
new TLine(runIdx,minEff,runIdx,maxEff);
1286 line->SetLineStyle(2);
1291 hRunChangeCount->Fill(runIdx);
1292 if ( hRunChangeCount->GetBinContent(runIdx+1) == 1 ) {
1293 TString infoMsg = Form(
"Efficiency change in %i triggered by ch %i RPC %i",
GetRunNumber(runIdx),11+ich,irpc);
1294 if ( ! perRPC ) infoMsg += Form(
" Board %i",currDE);
1295 AliInfo(infoMsg.Data());
1304 TArrayI runChangeClust(nRuns);
1307 for (
Int_t irun=0; irun<=nRuns; irun++ ) {
1308 if ( irun == nRuns || hRunChangeCount->GetBinContent(irun+1) == 0 ) {
1309 if ( sumWgt > 0. ) {
1310 Int_t averageRun = TMath::Nint(sumWgtRun / sumWgt);
1311 AliDebug(2,Form(
"Average run: %i => %i",averageRun,
GetRunNumber(averageRun)));
1312 runChangeClust[averageRun]++;
1317 if ( irun == nRuns )
break;
1319 AliDebug(2,Form(
"irun %i => %i: wgt %g",irun,
GetRunNumber(irun),hRunChangeCount->GetBinContent(irun+1)));
1322 Double_t wgt = hRunChangeCount->GetBinContent(irun+1);
1323 if ( forcedChanges ) {
1324 for (
Int_t ichange=0; ichange<forcedChanges->GetSize(); ichange++ ) {
1325 if (
GetRunNumber(irun) == forcedChanges->At(ichange) ) wgt *= 10.;
1332 TCanvas* summaryCan =
new TCanvas(
"effChangeSummary",
"effChangeSummary",50,50,600,600);
1333 summaryCan->SetLogy();
1334 hRunChangeCount->GetXaxis()->LabelsOption(
"v");
1335 hRunChangeCount->Draw();
1340 for (
Int_t irun=1; irun<nRuns; irun++ ) {
1341 if ( runChangeClust[irun] > 0 ) {
1347 runRanges.Set(ientry);
1360 if ( forcedChanges ) {
1361 forcedChangesBin.Set(forcedChanges->GetSize());
1362 for (
Int_t ichange=0; ichange<forcedChanges->GetSize(); ichange++ ) {
1364 if ( idx >= 0 ) forcedChangesBin[nForced++] = (
Double_t)idx;
1365 else AliWarning(Form(
"Cannot find run %i",forcedChanges->At(ichange)));
1370 Int_t minNormChi2Step = -1;
1376 for (
Int_t istep=0; istep<maxNRanges; istep++ ) {
1377 Int_t nPars = 2*(istep+1);
1378 Double_t xMin = trendGraph->GetXaxis()->GetXmin();
1379 Double_t xMax = trendGraph->GetXaxis()->GetXmax();
1381 func->FixParameter(0,istep);
1382 for (
Int_t ipar=1; ipar<nPars; ipar++ ) {
1390 func->SetParameter(ipar,val);
1391 if ( ipar%2 == 0 ) func->SetParLimits(ipar,xMin,xMax);
1394 TFitResultPtr fitResult = trendGraph->Fit(func,fitOpt.Data());
1397 if ( forcedChanges ) {
1398 Bool_t hasFixedPars = kFALSE;
1399 for (
Int_t iforced=0; iforced<nForced; iforced++ ) {
1400 for (
Int_t jstep=0; jstep<istep; jstep++ ) {
1401 Int_t ipar = 2*(jstep+1);
1402 if ( TMath::Abs(forcedChangesBin[iforced]-func->GetParameter(ipar)) > 2. )
continue;
1403 func->FixParameter(ipar,forcedChangesBin[iforced]);
1404 hasFixedPars = kTRUE;
1407 if ( hasFixedPars ) fitResult = trendGraph->Fit(func,fitOpt.Data());
1415 if ( normChi2 < minNormChi2 ) {
1416 minNormChi2 = normChi2;
1417 minNormChi2Step = istep;
1420 if ( normChi2 < chi2Cut )
break;
1426 trendGraph->GetListOfFunctions()->Add(func->Clone());
1432 Int_t nPoints = nSteps+1;
1435 for (
Int_t ipar=0; ipar<func->GetNpar(); ipar++ ) {
1436 Int_t istep = ipar/2;
1437 if ( ipar%2 == 0 ) parRunIdx[istep] = func->GetParameter(ipar);
1438 else parEff[istep] = func->GetParameter(ipar);
1442 TMath::Sort(nPoints,parRunIdx.GetArray(),sortIdx.GetArray(),kFALSE);
1444 runRanges.Set(2*nPoints);
1447 for (
Int_t ipoint=1; ipoint<nPoints; ipoint++ ) {
1448 Double_t deltaEff = TMath::Abs(parEff[sortIdx[ipoint]]-parEff[sortIdx[ipoint-1]]);
1450 if ( deltaEff < minEffVariation ) {
1451 AliWarning(Form(
"Efficiency variation for %s is %g => consider uniform",trendGraph->GetName(),deltaEff));
1454 Int_t runChangeIdx = TMath::Nint(parRunIdx[sortIdx[ipoint]]);
1455 AliDebug(1,Form(
"Change run: %s => %g => %i %i",trendGraph->GetName(),parRunIdx[sortIdx[ipoint]],runChangeIdx,
GetRunNumber(runChangeIdx)));
1456 runRanges[irun++] = returnIndex ? runChangeIdx-1 :
GetRunNumber(runChangeIdx-1);
1457 runRanges[irun++] = returnIndex ? runChangeIdx :
GetRunNumber(runChangeIdx);
1459 Int_t lastPt = trendGraph->GetN()-1;
1460 runRanges[irun++] = returnIndex ? lastPt :
GetRunNumber(lastPt);
1461 runRanges.Set(irun);
1464 AliWarning(Form(
"Fit did not converge for %s (minimum chi2 %g for step %i)",trendGraph->GetName(),minNormChi2,minNormChi2Step));
1473 if ( maxRun < minRun ) maxRun = minRun;
1474 return Form(
"%s_%i_%i",condition,minRun,maxRun);
1482 if ( obj->GetMinRun() == runNumber ) {
1483 return obj->GetUniqueID();
1496 outliers->SetHistogram(static_cast<TH1F*>(graph->GetHistogram()->Clone(Form(
"%s_outliers",graph->GetHistogram()->GetName()))));
1498 if ( graph->GetListOfFunctions()->GetEntries() == 0 ) graph->Fit(
"pol0",
"Q0");
1499 TF1* func =
static_cast<TF1*
>(graph->GetListOfFunctions()->At(0));
1503 for (
Int_t ipt=0; ipt<graph->GetN(); ipt++ ) {
1504 graph->GetPoint(ipt,xpt,ypt);
1505 Double_t diff = ypt - func->Eval(xpt);
1506 Double_t err = ( diff > 0. ) ? graph->GetErrorYlow(ipt) : graph->GetErrorYhigh(ipt);
1507 if ( err < 0. || TMath::Abs(diff)/err > maxNsigmas )
continue;
1508 outliers->RemovePoint(ipt-nremoved);
1519 if ( ipt < 0 || ipt >=
fRunMap.size() )
return -1;
1520 return fRunMap[ipt]->GetMinRun();
1530 if (
gSystem->AccessPathName(sRunList) || sRunList.EndsWith(
".root") ) {
1531 sRunList.ReplaceAll(
",",
" ");
1532 if ( sRunList.IsDigit() ) {
1533 TObjArray* arr = sRunList.Tokenize(
" ");
1534 for (
Int_t iarr=0; iarr<arr->GetEntries(); iarr++ ) {
1535 rl->Add(
new TObjString(arr->At(iarr)->GetName()));
1541 ifstream inFile(sRunList.Data());
1543 while ( ! inFile.eof() ) {
1544 currLine.ReadLine(inFile);
1545 TString currRun = AliAnalysisMuonUtility::GetRunNumberAsString(currLine);
1546 if ( ! currRun.IsNull() ) rl->Add(
new TObjString(currRun));
1561 TString sRef(refCondition->GetName());
1565 if ( ! condition || sCond == sRef ) {
1569 for (
Int_t ic=0; ic<condition->GetEntriesFast(); ic++ ) {
1570 TString currCond =
static_cast<TObjString*
>(condition->UncheckedAt(ic))->String();
1571 TString refCond =
static_cast<TObjString*
>(refCondition->UncheckedAt(ic))->String();
1572 if ( currCond == refCond )
continue;
1573 title +=
";" + currCond;
1575 title.Remove(TString::kLeading,
';');
1577 title.ReplaceAll(
",",
"+");
1587 for (
Int_t ic=3; ic<6; ic++ ) {
1588 objName += condition->UncheckedAt(ic)->GetName();
1590 return static_cast<TH1*
>(trigOut->GetSum(condition->At(0)->GetName(),condition->At(1)->GetName(),condition->At(2)->GetName(),objName));
1598 if ( idetelem < 0 && ichamber >=0 ) idetelem = 11+ichamber;
1600 TH1* outHisto = 0x0;
1607 TList* effHistoList = obj->GetEffHistoList(
fConditions->UncheckedAt(0)->GetName());
1610 TString outName = Form(
"histo_type%i_count%i_ch%i_",itype,icount,11+ichamber);
1612 outName += Form(
"%i_trend",idetelem);
1613 outHisto =
new TH1D(outName.Data(),outName.Data(),nRuns,0.,(
Double_t)nRuns);
1614 outHisto->SetDirectory(0);
1615 outHisto->GetXaxis()->SetTitle(
"Run num.");
1617 Int_t run = obj->GetMinRun();
1618 outHisto->GetXaxis()->SetBinLabel(ibin,Form(
"%i",run));
1619 TH1* histo =
GetHisto(effHistoList,itype,icount,ichamber);
1620 Int_t currBin = histo->GetXaxis()->FindBin(idetelem);
1621 outHisto->SetBinContent(ibin,histo->GetBinContent(currBin));
1622 outHisto->SetBinError(ibin,histo->GetBinError(currBin));
1624 if ( outHisto ) outHisto->GetXaxis()->LabelsOption(
"v");
1633 AliWarning(
"Chose either bending plane, non-bending plane or both planes");
1636 TH1* histoNum =
GetTrend(itype,icount,ichamber,idetelem);
1640 histoNum->SetStats(kFALSE);
1642 graph->SetHistogram(
new TH1F(*static_cast<TH1F*>(histoNum)));
1643 graph->GetYaxis()->SetTitle(
"Efficiency");
1644 graph->SetMarkerSize(0.5);
1659 for (
Int_t jch=-1; jch<4; jch++ ) {
1662 for (
Int_t ich=0; ich<4; ich++ ) {
1663 Double_t currEff = ( ich == jch ) ? 1.-eff[ich] : eff[ich];
1665 Double_t relErr = ( currEff>0. ) ? effErr[ich]/currEff : 0.;
1666 prodErr2 += relErr*relErr;
1668 binomialEff += prodEff;
1669 sumErr2 += prodEff*prodEff*prodErr2;
1671 probErr = TMath::Sqrt(sumErr2);
1680 AliError(
"You first need to merge efficiency objects with MergeOutput");
1691 if ( runRanges.GetSize()%2 == 1 ) {
1692 AliError(
"Run ranges expected in the form: start_period1,end_period1,start_period2,end_period2... => even number expected");
1698 AliInfo(
"Merging efficiencies");
1700 Int_t nRanges = mergedRanges.GetSize()/2;
1705 for (
Int_t irange=0; irange<nRanges; irange++ ) {
1706 Int_t firstRun = mergedRanges[2*irange];
1707 Int_t lastRun = mergedRanges[2*irange+1];
1715 TFileMerger fileMerger;
1717 Int_t run = obj->GetMinRun();
1718 if ( run < firstRun || run > lastRun )
continue;
1719 filename = obj->GetFilename();
1720 outputname = obj->GetOutputname();
1721 if ( firstRun == lastRun )
continue;
1722 fileMerger.AddFile(filename.Data(),kFALSE);
1725 TString sRange = Form(
"%i_%i",firstRun,lastRun);
1726 TString mergedFilename = Form(
"mergedTrigEff_runs_%s.root",sRange.Data());
1728 if ( firstRun == lastRun ) TFile::Cp(filename.Data(),mergedFilename.Data(),kFALSE);
1730 fileMerger.OutputFile(mergedFilename.Data());
1749 if ( averageStatError <= 0. || averageStatError >= 1. )
return runRanges;
1757 Double_t averageStatNeeded = effForStatCalc*(1.-effForStatCalc)/(averageStatError*averageStatError);
1759 AliInfo(Form(
"Average statistics needed to reach precision of %g : %g",averageStatError,averageStatNeeded));
1761 Int_t nRanges = runRanges.GetSize()/2;
1765 for (
Int_t irange=0; irange<nRanges; irange++ ) {
1767 fullStat += averageStat[irange];
1770 TArrayI mergedRanges(runRanges.GetSize());
1772 mergedRanges[imerged++] = runRanges[0];
1773 Double_t mergedAverageStat = 0., remainingStat = fullStat;
1774 for (
Int_t irange=0; irange<nRanges; irange++ ) {
1775 Int_t istart = 2*irange;
1776 Int_t iend = istart+1;
1777 mergedAverageStat += averageStat[irange];
1778 remainingStat -= averageStat[irange];
1780 AliInfo(Form(
"%i - %i => stat %g",runRanges[2*irange],runRanges[2*irange+1],averageStat[irange]));
1782 if ( ( mergedAverageStat >= averageStatNeeded && remainingStat >= averageStatNeeded ) || iend == runRanges.GetSize()-1 ) {
1783 mergedRanges[imerged++] = runRanges[iend];
1784 AliInfo(Form(
" merged range %i - %i => stat %g",mergedRanges[imerged-2],mergedRanges[imerged-1],mergedAverageStat));
1785 mergedAverageStat = 0.;
1786 Int_t nextRun = iend+1;
1787 if ( nextRun < runRanges.GetSize() ) mergedRanges[imerged++] = runRanges[nextRun];
1790 mergedRanges.Set(imerged);
1791 return mergedRanges;
1812 TString trigEffCDBdir =
"MUON/Calib/TriggerEfficiency";
1814 if ( currSrc.BeginsWith(
"alien") && ! gGrid ) TGrid::Connect(
"alien://");
1816 AliMUONTriggerEfficiencyCells* effMap = 0x0;
1817 Bool_t deleteMap = kTRUE;
1818 if ( currSrc.EndsWith(
".root") ) effMap =
new AliMUONTriggerEfficiencyCells(currSrc.Data());
1820 TObjArray* dirRun = currSrc.Tokenize(
"?");
1822 TString runNum = ( dirRun->GetEntriesFast() > 1 ) ? dirRun->UncheckedAt(1)->GetName() :
"";
1823 AliCDBManager* mgr = AliCDBManager::Instance();
1824 if ( ! mgr->GetDefaultStorage() ) mgr->SetDefaultStorage(
"local://$ALICE_ROOT/OCDB");
1825 if ( mgr->GetEntryCache()->Contains(trigEffCDBdir.Data()) ) mgr->UnloadFromCache(trigEffCDBdir.Data());
1826 mgr->SetSpecificStorage(trigEffCDBdir.Data(),cdbPath.Data());
1827 Int_t runNumber = 0;
1828 if ( runNum.IsNull() ) {
1829 cout <<
"Please enter run number: " << endl;
1832 else runNumber = runNum.Atoi();
1833 mgr->SetRun(runNumber);
1834 AliCDBEntry* cdbEntry = mgr->Get(trigEffCDBdir.Data());
1839 effMap =
static_cast<AliMUONTriggerEfficiencyCells*
>(cdbEntry->GetObject());
1843 AliError(Form(
"Cannot find effieciency map in %s",src));
1848 if ( deleteMap )
delete effMap;
1850 return effHistoList;
1866 AliInfo(
"Check for local boards where the efficiency could not be computed and recover it from other maps");
1869 std::vector<TList*> readEffLists;
1870 std::vector<TList*> systLists;
1873 if ( referenceRun >= 0 ) refRun = Form(
"%i",referenceRun);
1874 TList *refRead = 0x0, *refSyst = 0x0;
1879 TList* effList = obj->GetEffHistoList(
fConditions->UncheckedAt(0)->GetName());
1880 std::vector<TH1*> histoList;
1881 histoList.reserve(16);
1882 for (
Int_t ich=0; ich<4; ich++ ) {
1883 for (
Int_t icount=0; icount<4; icount++ ) {
1885 histoList[4*ich+icount] =
static_cast<TH1*
>(effList->FindObject(currName.Data()));
1888 for (
Int_t ibin=1; ibin<=histoList[0]->GetXaxis()->GetNbins(); ibin++ ) {
1889 Bool_t isUnknown[4] = {0,0,0,0};
1890 Int_t nDead = 0, nUnknown = 0;
1891 for (
Int_t ich=0; ich<4; ich++ ) {
1893 if ( countAll > 10 ) {
1895 if ( eff<0.1 ) nDead++;
1903 if ( nUnknown == 3 ) {
1904 for (
Int_t ich=0; ich<4; ich++ ) {
1905 AliInfo(Form(
"Recovering board %i in ch %i",ibin,11+ich));
1906 if ( ! isUnknown[ich] )
continue;
1907 if ( readEffLists.size() == 0 ) {
1910 if ( rList->GetEntries() == 0 ) {
1911 AliError(
"A recovery is needed, but no run list is specified: please specify it");
1914 if ( refRun.IsNull() ) refRun = rList->Last()->GetName();
1915 else if ( ! rList->FindObject(refRun.Data()) ) rList->Add(
new TObjString(refRun));
1916 AliInfo(Form(
"Using efficiency of run %s",refRun.Data()));
1917 for (
Int_t itype=0; itype<2; itype++ ) {
1919 TString currOcdb = ( itype == 0 ) ? ocdb : systOcdb;
1920 TString baseName = ( itype == 0 ) ?
"RecoveredFrom" :
"RecoveredSystFrom";
1922 TObjString* runObj = 0x0;
1923 while ( (runObj = static_cast<TObjString*>(next())) ) {
1924 Bool_t isRefRun = ( runObj->String() == refRun );
1926 if ( itype == 1 && ! isRefRun )
continue;
1928 readEffLists.push_back(readList);
1933 systEffList->SetName(Form(
"%s_%s",baseName.Data(),runObj->GetName()));
1934 systLists.push_back(systEffList);
1936 if ( isRefRun && itype == 0 ) {
1938 refSyst = systEffList;
1943 for (
Int_t imap=0; imap<readEffLists.size(); imap++ ) {
1944 TList* readList = readEffLists[imap];
1945 for (
Int_t icount=0; icount<4; icount++ ) {
1947 TH1* histoFrom =
static_cast<TH1*
>(readList->FindObject(currName.Data()));
1948 TH1* histoTo = ( readList == refRead ) ? histoList[4*ich+icount] : static_cast<TH1*>(systLists[imap]->
FindObject(currName.Data()));
1949 histoTo->SetBinContent(ibin,histoFrom->GetBinContent(ibin));
1954 else AliWarning(Form(
"Local board %i: unknown efficiency: %i %i %i %i",ibin,isUnknown[0],isUnknown[1],isUnknown[2],isUnknown[3]));
1957 for (
TList* systEffHistoList : systLists ) {
1958 if ( systEffHistoList == refSyst )
continue;
1959 obj->AddEffHistoList(systEffHistoList->GetName(),systEffHistoList);
1965 readEffLists.clear();
1981 TString sCondition = Form(
"%s;%s;%s",physSel,trigClassName,centrality);
1991 if ( foundCondition ) {
1993 if ( foundCondition == basicCondition )
return kFALSE;
1996 addCondition = foundCondition;
2000 AliInfo(
"Systematic condition already added");
2005 addCondition = sCondition.Tokenize(
";");
2006 addCondition->SetName(sCondition.Data());
2007 addCondition->UncheckedAt(3)->SetUniqueID(itrackSel);
2008 addCondition->UncheckedAt(4)->SetUniqueID(imatch);
2009 addCondition->UncheckedAt(5)->SetUniqueID(imethod);
2014 if ( basicCondition ) {
2015 AliInfo(Form(
"Changing current eff. condition: %s",basicCondition->GetName()));
2017 delete basicCondition;
2024 obj->RemoveEffHistoList(sCondition.Data());
2025 AddToList(obj->GetFilename(), obj->GetOutputname());
2045 return SetCondition(physSel, trigClassName, centrality, itrackSel, imatch, imethod, kTRUE);
2053 AliInfo(
"Reading efficiency objects");
2058 gSystem->ExpandPathName(filename);
2059 if (
gSystem->AccessPathName(filename.Data()) ) {
2060 AliWarning(Form(
"Cannot find %s",filename.Data()));
2063 if ( filename.EndsWith(
".root") )
return AddToList(filename.Data(),outputName);
2066 ifstream inFile(filename.Data());
2068 while ( ! inFile.eof() ) {
2069 currLine.ReadLine(inFile);
2070 if ( currLine.IsNull() )
continue;
2071 if (
gSystem->AccessPathName(currLine.Data()) )
continue;
2072 if ( !
AddToList(currLine.Data(), outputName) ) isOk = kFALSE;
2083 CopyLocally(runList,path,pattern,localFileList,outDir,directory);
2091 CopyLocally(runList,path,
"",localFileList,outDir,directory);
2101 AliInfo(
"Writing merged efficiencies to OCDB");
2104 if ( ! outCDB.Contains(
"://") || outCDB ==
"raw://" ) {
2105 AliError(
"Invalid CDB output dir");
2110 if ( outCDB.BeginsWith(
"alien://") && ! gGrid ) {
2111 TGrid::Connect(
"alien://");
2112 rmCommand =
"alien_rm";
2114 AliError(
"Cannot open grid connection");
2119 AliCDBManager* mgr = AliCDBManager::Instance();
2120 if ( ! mgr->GetDefaultStorage() ) mgr->SetDefaultStorage(
"local://$ALICE_ROOT/OCDB");
2122 TString trigEffCDBdir =
"MUON/Calib/TriggerEfficiency";
2124 mgr->SetSpecificStorage(trigEffCDBdir.Data(),outCDB.Data());
2126 AliCDBStorage* specificStorage = mgr->GetSpecificStorage(trigEffCDBdir.Data());
2127 TString baseOutDir = specificStorage->GetBaseFolder();
2129 TString condName = ( writeSystematics ) ?
"Systematics" :
fConditions->UncheckedAt(0)->GetName();
2132 TList* effHistos = obj->GetEffHistoList(condName.Data());
2133 if ( ! effHistos ) {
2134 AliWarning(
"No systematic condition found: you should first run BuildSystematicMap");
2139 Int_t firstRun = obj->GetMinRun();
2140 Int_t lastRun = obj->GetMaxRun();
2143 for (
Int_t irun=0; irun<2; irun++ ) {
2144 Int_t runnr = ( irun == 0 ) ? firstRun : lastRun;
2145 specificStorage->QueryCDB(runnr);
2146 TObjArray* allIdsForRun = specificStorage->GetQueryCDBList();
2147 TIter nextId(allIdsForRun);
2149 while ((
id = static_cast<AliCDBId*>(nextId()))) {
2151 Int_t foundFirst =
id->GetFirstRun();
2152 Int_t foundLast =
id->GetLastRun();
2153 Int_t version =
id->GetVersion();
2154 Int_t subversion = TMath::Max(id->GetSubVersion(),0);
2155 TString fullPath = Form(
"%s/%s/Run%d_%d_v%d_s%d.root",baseOutDir.Data(),path.Data(),foundFirst,foundLast,version,subversion);
2156 ExecCommand(Form(
"%s %s",rmCommand.Data(),fullPath.Data()), kTRUE);
2161 AliMUONTriggerEfficiencyCells* effMap =
new AliMUONTriggerEfficiencyCells(
CloneEffHistoList(effHistos));
2162 AliMUONCDB::WriteToCDB(effMap,
"MUON/Calib/TriggerEfficiency", firstRun, lastRun,
"Measured efficiencies");
2171 fFilename(filename),
2172 fOutputname(outputname),
2192 auto const& mapEntry = fEffLists.find(condition);
2193 if ( mapEntry == fEffLists.end() )
return 0x0;
2194 return mapEntry->second;
2201 if ( fEffLists.find(condition) != fEffLists.end() ) {
2202 AliWarning(Form(
"Condition %s already present: nothing done",condition));
2205 fEffLists.insert({condition,effHistoList});
2206 fSortKeys.push_back(condition);
2214 return fEffLists.erase(condition);
Counts per cathode histogram index.
return jsonbuilder str().c_str()
TList * GetEffHistoList(TString physSel, TString trigClassNames, TString centrality, Int_t itrackSel, Int_t imatch, Int_t imethod)
void CompareMergedEfficiencies(const char *opt) const
void CopyDir(TDirectory *source) const
Double_t GetError(Double_t errLow, Double_t errHigh) const
tracks used for calculation
Bool_t CopyLocally(const char *runList, const char *path, const char *pattern, const char *localFileList, const char *outDir, const char *directory) const
Hit pattern from tracker track extrapolation.
Double_t GetThreeOfFour(TArrayD eff, TArrayD effErr, Double_t &probErr) const
TGraphAsymmErrors * GetTrendEff(Int_t itype, Int_t icount, Int_t ichamber, Int_t idetelem) const
Bool_t RemoveEffHistoList(const char *condition)
AliMTRChEffInnerObj(const char *filename, const char *outputname, Int_t minRun, Int_t maxRun=-1)
TArrayI MergeRangesForStat(TArrayI runRanges, Double_t averageStatError, Bool_t excludePeriphericBoards=kTRUE) const
Counts per slat histogram index.
Int_t CompareEfficiencies(const char *sources, const char *titles, const char *opt, const char *canvasNameSuffix="") const
TList * GetEffHistoList(const char *condition) const
Bool_t SetResultsFromGrid(const char *runList, const char *path, const char *pattern, const char *localFileList="localFileList.txt", const char *outDir="", const char *directory="MTR_ChamberEffMap", const char *outputName="testMTRChamberEff")
UShort_t T(UShort_t m, UShort_t t)
TList * GetEffHistoList(AliTrigChEffOutput *trigOut, TObjArray *condition) const
Bool_t WriteMergedToOCDB(const char *outputCDB="CDB", Bool_t writeSystematics=kFALSE) const
Bool_t AddToList(const char *filename, const char *outputName)
virtual ~AliMTRChEffAnalysis()
Int_t CompareEfficiencyMethods(const char *source, const char *opt, const char *canvasNameSuffix="") const
Output for Trig chamber effieincy.
virtual ~AliMTRChEffInnerObj()
Bool_t AddEffHistoList(const char *condition, TList *effHistoList)
TArrayI GetHomogeneousRanges(Double_t chi2Cut=3, Int_t maxNRanges=4, Double_t minEffVariation=0.005, Bool_t perRPC=kTRUE, TArrayI *forcedChanges=0x0, Double_t minEff=0.85, Double_t maxEff=1.01)
Bool_t SetEffConditions(const char *physSel, const char *trigClassName, const char *centrality, Int_t itrackSel, Int_t imatch, Int_t imethod)
Output for Trig chamber effieincy.
AliTrigChEffOutput * fNamer
! Namer for histograms
void DrawStatContribution(Int_t itype, Int_t irpc, Double_t maxNsigmaOutliers=-1., Double_t minY=0., Double_t maxY=0.15) const
Double_t GetAverageStat(Int_t firstRun, Int_t lastRun, Int_t itype=AliTrigChEffOutput::kHboardEff, Bool_t excludePeriphericBoards=kTRUE) const
Bool_t SetOutList(const char *localFileList, const char *outputName)
Bool_t Data(TH1F *h, Double_t *rangefit, Bool_t writefit, Double_t &sgn, Double_t &errsgn, Double_t &bkg, Double_t &errbkg, Double_t &sgnf, Double_t &errsgnf, Double_t &sigmafit, Int_t &status)
TString GetId(const char *condition, Int_t minRun, Int_t maxRun=-1) const
TObject * FindObject(int bin, const char *nameH, const TList *lst, Bool_t normPerEvent=kTRUE)
AliTrigChEffOutput * Namer() const
std::vector< AliMTRChEffAnalysis::AliMTRChEffInnerObj * > fRunMap
! Map of internal objects per run
std::vector< AliMTRChEffAnalysis::AliMTRChEffInnerObj * > fMergedMap
! Map of merged internal objects
TH1 * GetHisto(TList *effHistoList, Int_t itype, Int_t icount, Int_t ichamber) const
Bool_t SetCondition(const char *physSel, const char *trigClassName, const char *centrality, Int_t itrackSel, Int_t imatch, Int_t imethod, Bool_t isBasic)
TList * GetRunList(const char *runList) const
ClassImp(AliAnalysisTaskCRC) AliAnalysisTaskCRC
Int_t GetRunNumber(Int_t ipt) const
Bool_t HasMergedResults() const
Bool_t ExecCommand(TString command, Bool_t prompt) const
TArrayI BoardsInRPC(Int_t irpc) const
Bool_t RecoverEfficiency(const char *runList, const char *ocdb, const char *systOcdb, Int_t referenceRun=-1)
Int_t GetIndexFromRun(Int_t runNumber) const
Double_t FitRangesFunc(Double_t *x, Double_t *par)
Counts per board histogram index.
Int_t GetRunNumber(TString)
void DrawEffTrend(Int_t itype, Int_t irpc, Double_t maxNsigmasOutliers=-1., Double_t minEff=0.8, Double_t maxEff=1.01) const
TObjArray * fConditions
! List of conditions for trigger efficiency
TList * CloneEffHistoList(TList *effHistos) const
TGraphAsymmErrors * GetOutliers(TGraphAsymmErrors *graph, Double_t maxNsigmas=3.) const
Bool_t AddSystematicCondition(const char *physSel, const char *trigClassName, const char *centrality, Int_t itrackSel, Int_t imatch, Int_t imethod)
TString GetShortConditionTitle(const char *conditionName) const
Bool_t SetResultsFromWeb(const char *runList, const char *path, const char *localFileList="localFileList.txt", const char *outDir="", const char *directory="MTR_ChamberEffMap", const char *outputName="testMTRChamberEff")
Bool_t DrawSystematicEnvelope(Bool_t perRPC=kFALSE) const
Bool_t MergeOutput(TArrayI runRanges, Double_t averageStatError=0.01, Bool_t isIndex=kFALSE)
TString GetHistoName(Int_t itype, Int_t icount, Int_t ichamber, Int_t itrackSel, Int_t imatch, Int_t imethod)
Bool_t SetDefaultEffConditions()
Bool_t BuildSystematicMap()
TH1 * GetSum(AliTrigChEffOutput *trigOut, TObjArray *condition, Int_t itype, Int_t icount, Int_t ichamber) const
TList * ReadEffHistoList(const char *src) const
TH1 * GetTrend(Int_t itype, Int_t icount, Int_t ichamber, Int_t idetelem) const