helperMacrosRunByRunBC.C

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// --- ROOT system ---
#include <Riostream.h>
#include <TStyle.h>
#include <TCanvas.h>
#include <TROOT.h>
#include <TGaxis.h>
#include <TFile.h>
#include <TLatex.h>
#include <TLegend.h>
#include <TEnv.h>
#include <TSystem.h>


// --- ANALYSIS system ---
#include "AliEMCALGeometry.h"          //include when compile
#include "AliCalorimeterUtils.h"       //include when compile
#include "AliAODEvent.h"               //include when compile

//colors
const Int_t RainbowColors[]= {kRed, kRed-4, kRed-7, kRed-9, kRed-10, kYellow, kYellow-4, kYellow-7, kYellow-9, kYellow-10, kGreen, kGreen-4 , kGreen-7, kGreen-9, kGreen-10, kCyan, kCyan-4, kCyan-7, kCyan-9, kCyan-10, kBlue, kBlue-4, kBlue-7, kBlue-9, kBlue-10, kMagenta, kMagenta-4, kMagenta-7, kMagenta-9, kMagenta-10};

//definition of methods
TH2F* CompressHistogram(TH2 *Histo,Int_t totalCells, Int_t badCells,std::vector<Int_t> runIdVec);

void BuildMaxMinHisto(TH1D* inHisto, TH1D* minHist,TH1D* maxHist);
void PlotLowFractionCells(TString pdfName, std::vector<Int_t> cellVector,TH2F* badVsCell[],Int_t nRuns,TH2F* ampID[],TH1D* hCellGoodMean[]);
Bool_t IsItReallyBadRatio(TH1D* minHistoRatio,TH1D* maxHistoRatio,TH1D* meanHistoRatior,TString& crit);

void PlotHorLineRange(Double_t y_val, Double_t xLow, Double_t xHigh, Int_t Line_Col);
void SetHisto(TH2 *Histo,TString Xtitel,TString Ytitel,Bool_t longhisto);
void SetHisto(TH1 *Histo,TString Xtitel,TString Ytitel,Bool_t longhisto);
Bool_t IsCellMaskedByHand(Int_t cell, std::vector<Int_t> cellVector);
void CreateCellCompPDF(TH2F* hAmpIDMasked, std::vector<Int_t> cellVector, TH1* goodCellsMerged, TH1* goodCellsRbR, TString pdfName);
void Plot2DCells(TString Block, Int_t runNo, std::vector<Int_t> cellVectorRbR, std::vector<Int_t> cellVectorMerge);

//________________________________________________________________________
void SummarizeRunByRun(TString period = "LHC15o", TString train = "Train_641", TString trigger= "AnyINTnoBC", TString listName="runList",Int_t runsUsed=-1)
{
  gROOT->ProcessLine("gErrorIgnoreLevel = kWarning;"); //..to supress a lot of standard output
  gROOT->SetBatch(1); //..Prevent ROOT from stealing focus when plotting

  gStyle->SetOptTitle(0);
  gStyle->SetOptStat(0);
  //gStyle->SetPalette(53);  //standard is 1
  gStyle->SetPalette(91);  //standard is 1 //91 pastel
  gStyle->SetCanvasColor(10);
  TGaxis::SetMaxDigits(4);
  gStyle->SetPadTopMargin(0.07);//0.05
  gStyle->SetPadBottomMargin(0.18);//0.15
  gStyle->SetPadRightMargin(0.10);
  gStyle->SetPadLeftMargin(0.15);
  gStyle->SetFrameFillColor(10);
  gStyle->SetLabelSize(0.05,"X");
  gStyle->SetLabelSize(0.05,"Y");
  gStyle->SetTitleSize(5.0,"X");
  gStyle->SetTitleSize(5.0,"Y");
  gEnv->SetValue("Canvas.ShowEventStatus",1);  //shows the status bar in the canvas

  //..............................................
  //..manually disable cells
  std::vector<Int_t> badcellsBlock1;
  std::vector<Int_t> badcellsBlock2;
  std::vector<Int_t> badcellsBlock3;
  std::vector<Int_t> badcellsBlock4;
  //badcellsBlock1.push_back(13483);
  //badcellsBlock2.push_back(13483);
  //badcellsBlock3.push_back(13483);
  //badcellsBlock4.push_back(13483);

  //..select runs after which a new bad map is built
  //..you get these numbers after you run this function and then the GetBestPeriodSplitting function
  Int_t splitRuns1=1;  //run bock is inclusive of this run
  Int_t splitRuns2=2;  //run bock is inclusive of this run
  Int_t splitRuns3=3;  //run bock is inclusive of this run
  //..............................................
  TString analysisInput  = Form("AnalysisInput/%s",period.Data());
  TString analysisOutput = Form("AnalysisOutput/%s/%s",period.Data(),train.Data());
  TString runList        = Form("./%s/%s/%s.txt", analysisInput.Data(), train.Data(),listName.Data());

  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..open the text file and save the run IDs into the RunId[] array
  cout<<"o o o Open .txt file with run indices. Name = " << runList << endl;
  FILE *pFile = fopen(runList.Data(), "r");
  if(!pFile)
  {
    cout<<"couldn't open file "<<runList<<"!"<<endl;
    return;
  }
  Int_t q;
  Int_t ncols;
  Int_t nlines = 0 ;
  Int_t RunId[500] ;
  std::vector<Int_t> RunIdVec;
  std::vector<Int_t> badRunIdVec;   //..Filled with runs were the automatic bad cell evaluation failed

  while (1)
  {
    ncols = fscanf(pFile,"  %d ",&q);
    if (ncols< 0) break;
    RunId[nlines]=q;
    RunIdVec.push_back(q);
    nlines++;
  }
  fclose(pFile);
  //..sort the vector by size to be shure to use the right order
  std::sort (RunIdVec.begin(), RunIdVec.end());
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..Create different canvases for run-by-runcomparision
  cout<<"o o o Found " << RunIdVec.size() <<" files in list"<< endl;
  Int_t intRun;

  intRun= RunIdVec.size();
  if(runsUsed>0 && runsUsed<intRun)intRun = runsUsed; //for test purposes
  const Int_t nRun = intRun;
  Int_t nRunsUsed = nRun;
  //ELI for Martin Int_t totalperCv = 4;
  Int_t totalperCv = 16;
  Int_t nPad = TMath::Sqrt(totalperCv);
  Int_t nCv = nRun/totalperCv+1;


  if(nCv<1)nCv=1;

  //..canvases per run
  TCanvas **cBad  = new TCanvas*[nCv];
  TCanvas **cGood = new TCanvas*[nCv];
  TCanvas **cDead = new TCanvas*[nCv];
  TCanvas **cAmp  = new TCanvas*[nCv];

  for(Int_t ic = 0; ic<nCv; ic++)
  {
    cBad [ic] = new TCanvas(TString::Format("badcells%d", ic), TString::Format("I) badcells  (%d/%d)", ic+1, nCv), 1000,750);
    cGood[ic] = new TCanvas(TString::Format("goodcells%d", ic),TString::Format("I) goodcells (%d/%d)", ic+1, nCv),1000,750);
    cDead[ic] = new TCanvas(TString::Format("deadcells%d", ic),TString::Format("I) deadcells (%d/%d)", ic+1, nCv),1000,750);
    cAmp [ic] = new TCanvas(TString::Format("Amplitide%d", ic),TString::Format("I) Amplitide (%d/%d)", ic+1, nCv),1000,750);

    cBad [ic] ->Divide(nPad,nPad,0.001,0.001);
    cGood[ic] ->Divide(nPad,nPad,0.001,0.001);
    cDead[ic] ->Divide(nPad,nPad,0.001,0.001);
    cAmp [ic] ->Divide(nPad,nPad,0.001,0.001);
  }

  //..summary figures for all runs
  Int_t nFlags = 3;
  TH2F** hFlagvsRun = new TH2F*[nFlags]; 
  TH2F* hFlagNew  = 0x0;
  TH2F* hFlagNewClean  = 0x0;
  TH2F** ampID         = new TH2F*[nRun];
  TH2F** ampIDCl       = new TH2F*[nRun];
  TH2F** ampIDCl3Block = new TH2F*[nRun];
  TH2F** ampIDCl1Block = new TH2F*[nRun];
  TH2F** ampIDDelete   = new TH2F*[nRun];
  TH1D** hCellGoodMean = new TH1D*[nRun];
  TH1D** hNEvent       = new TH1D*[nRun];
  TH2F* hBadVsEvent      = new TH2F("hBadVsEvent","hBadVsEvent",100,100000,25000000,60,700,1800);
  TH2F* hDeadBadVsEvent  = new TH2F("hDeadBadVsEvent","hDeadBadVsEvent",100,100000,25000000,60,700,1800);
  TH1D* deadbadCellsVsRun=nullptr;
  TH1D* deadCellsVsRun=nullptr;
  TH1D* badCellsVsRun=nullptr;
  TH1D* deadCellsVsRunC=nullptr;
  TH1D* badCellsVsRunC=nullptr;
  TH1D* projSum=nullptr;
  TH1D* projSumC=nullptr;
  TH1D* projSumC3Blocks=nullptr;
  TH1D* projSumC3BlocksA=nullptr;
  TH1D* projSumC3BlocksB=nullptr;
  TH1D* projSumC3BlocksC=nullptr;
  TH1D* projSumC3BlocksD=nullptr;
  TH1D* projSumC1Block=nullptr;
  TH1D* nEventsVsRuns=nullptr;
  TH2F* Sum2DSingleMask=nullptr;
  TH2F* Sum2D3BlockMask=nullptr;
  TH2F* Sum2D3BlockMaskA=nullptr;
  TH2F* Sum2D3BlockMaskB=nullptr;
  TH2F* Sum2D3BlockMaskC=nullptr;
  TH2F* Sum2D3BlockMaskD=nullptr;
  TH2F* Sum2DOrig=nullptr;
  TH2F* Sum2DIdeal=nullptr;
  TH1D* hgoodMean=nullptr;

  for(Int_t i = 0; i<nFlags; i++)
  {
    hFlagvsRun[i] = 0x0;
  }
  TCanvas *cFlagDeadBadI      = new TCanvas("cFlagDeadBadI", "II) Flag dead or bad a", 1600, 1000);
  TCanvas *cFlagDeadBadII     = new TCanvas("cFlagDeadBadII", "II) Flag dead or bad b", 1600, 1000);
  TCanvas *cFlagSumI          = new TCanvas("cFlagSumI", "II) Flag dead&bad a", 1600, 1000);
  TCanvas *cFlagSumII         = new TCanvas("cFlagSumII", "II) Flag dead&bad b", 1600, 1000);
  TCanvas *cFlagSumCleanedI   = new TCanvas("cFlagSumCleanI", "III) cleanded Flag dead&bad a", 1600, 1000);
  TCanvas *cFlagSumCleanedII  = new TCanvas("cFlagSumCleanII", "III) cleanded Flag dead&bad b", 1600, 1000);
  TCanvas *cFlagSumCompAllI   = new TCanvas("cFlagSumCompAllI", "III) compressed Flag dead&bad a", 1600, 1000);
  TCanvas *cFlagSumCompAllII  = new TCanvas("cFlagSumCompAllII", "III) compressed Flag dead&bad b", 1600, 1000);
  TCanvas *cFlagSumCompCleanI = new TCanvas("cFlagSumCompI", "III) compressed&cleaned Flag dead&bad a", 1600, 1000);
  TCanvas *cFlagSumCompCleanII= new TCanvas("cFlagSumCompII", "III) compressed&cleaned Flag dead&bad b", 1600, 1000);

  TCanvas *cFlagNew         = new TCanvas("cFlagNew", "IV) Frac dead&bad 2D", 1600, 800);
  TCanvas *cellSummaryCan   = new TCanvas("cellSummaryCan", "I) run overview", 1600, 800);
  TCanvas *cellSummaryCan2  = new TCanvas("cellSummaryCan2","I) run overview II",1600,800);
  TCanvas *cAmpSum          = new TCanvas("SumOfAmplitudes","I) Sum of Amplitides over runs",1500,750);
  TCanvas *cAmpSum2D        = new TCanvas("SumOf2DAmplitudes","I) Sum of 2D Amplitides over runs",1500,750);
  TCanvas *cAmpSum2D4Blocks = new TCanvas("cAmpSum2D4Blocks","I) Sum of 2D Amplitides in 4 run blocks",1500,750);
  TCanvas *cAmpSum2D4BlocksRatio = new TCanvas("cAmpSum2D4BlocksRatio","I) Ratio of 2D Amplitides in 4 run blocks",1500,750);

  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..defining variables and histograms
  TString rootFileName;
    TString badChannelOutput;
  /*special test for martin - you can also see bad channel evolvement for different periods
  TString badChannelOutput[4];
  badChannelOutput[0]="AnalysisOutput/LHC16h/Version2/Train_622AnyINTnoBC_Histograms_V2.root";
  badChannelOutput[1]="AnalysisOutput/LHC16i/Version2/Train_623AnyINTnoBC_Histograms_V2.root";
  badChannelOutput[2]="AnalysisOutput/LHC16k/Version0/Train_658AnyINTnoBC_Histograms_V0.root";
  badChannelOutput[3]="AnalysisOutput/LHC16o/Version3/Train_663AnyINTnoBC_Histograms_V3.root";
    */
  Int_t   noOfCells=0;
  Int_t usedRuns=0;
  Bool_t iFirstRun=0;

  AliCalorimeterUtils *fCaloUtils = new AliCalorimeterUtils();
  //..Create a dummy event for the CaloUtils
  AliAODEvent* aod = new AliAODEvent();
  fCaloUtils->SetRunNumber(RunIdVec.at(0));
  fCaloUtils->AccessGeometry(aod);
    noOfCells=fCaloUtils->GetEMCALGeometry()->GetNCells(); //..Very important number, never change after that point!

  hFlagvsRun[0] = new TH2F("hFlag1vsRun", "hFlag1vsRun (?); cell ID; Run number", noOfCells+10, 0, noOfCells+10, nRun, 0, nRun); // update this axis, need to have the run number
  hFlagvsRun[1] = new TH2F("hFlag2vsRun", "hFlag2vsRun (?); cell ID; Run number", noOfCells+10, 0, noOfCells+10, nRun, 0, nRun);
  hFlagvsRun[2] = new TH2F("hFlag3vsRun", "hFlag3vsRun (?); cell ID; Run number", noOfCells+10, 0, noOfCells+10, nRun, 0, nRun);
  nEventsVsRuns = new TH1D("nEventVsRun", "number of events in run", nRun, 0, nRun);

  for(Int_t i=0;i<nRun;i++)
  {
    hFlagvsRun[0]->GetYaxis()->SetBinLabel(i+1,Form("%i",RunIdVec.at(i)));
    hFlagvsRun[1]->GetYaxis()->SetBinLabel(i+1,Form("%i",RunIdVec.at(i)));
    hFlagvsRun[2]->GetYaxis()->SetBinLabel(i+1,Form("%i",RunIdVec.at(i)));
  }
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..Open the different .root files with help of the run numbers from the text file
  //..loop over the amount of run numbers found in the previous text file.
  for(Int_t i = 0 ; i < nRun ; i++)  //Version%i" LHC16i_muon_caloLego_Histograms_V255539
  {
    rootFileName      = Form("%s_%s_Histograms_V%i.root",period.Data(), trigger.Data(), RunIdVec.at(i));
    badChannelOutput  = Form("%s/Version%i/%s", analysisOutput.Data(), RunIdVec.at(i),rootFileName.Data());

    //Martin cout<<"Open root file: "<<badChannelOutput[i]<<endl;
    cout<<"- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -"<<endl;
    cout<<"Open root file No: "<<i+1<<endl;
    cout<<badChannelOutput<<" - "<<flush;
    TFile *f = TFile::Open(badChannelOutput);
    if(!f)
    {
      cout<<"Couldn't open/find .root file: "<<badChannelOutput<<endl;
      cout<<endl;
      cout<<"- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -"<<endl;
      badRunIdVec.push_back(RunIdVec.at(i));
      usedRuns++; //..to not overwrite that run number place with other results
      continue;
    }
    if(f->TestBit(TFile::kRecovered))
    {
      cout<<"File had to be recovered (probably damaged): "<<badChannelOutput<<endl;
      cout<<endl;
      cout<<"- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -"<<endl;
      //..since there is no material that can be retrieved get the previous histograms
      //..and clear them
      ampID[usedRuns]        = (TH2F*)ampID[usedRuns-1]->Clone("hCellAmplitudeCopy");
      ampID[usedRuns]->Clear();
      ampIDCl[usedRuns]      = (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeClRun%i",usedRuns));
      ampIDCl[usedRuns]->Clear();
      ampIDCl3Block[usedRuns]= (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeCl3RunBlock%i",usedRuns));
      ampIDCl3Block[usedRuns]->Clear();
      ampIDCl1Block[usedRuns]= (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeCl1RunBlock%i",usedRuns));
      ampIDCl1Block[usedRuns]->Clear();
      ampIDDelete[usedRuns]  = (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeTest%i",usedRuns));
      ampIDDelete[usedRuns]->Clear();
      hCellGoodMean[usedRuns]= (TH1D*)hCellGoodMean[usedRuns-1]->Clone("hgoodMeanCopy");
      hCellGoodMean[usedRuns]->Clear();
      badRunIdVec.push_back(RunIdVec.at(i));
      usedRuns++; //..to not overwrite that run number place with other results
      continue;
    }

    //..you may introduce a cut here, selecting only
    //..runs with a certain number of events
    hNEvent[usedRuns]      = (TH1D*)f->Get("hNEvents");
    cout<<hNEvent[usedRuns]->Integral()<<" evt."<<endl;
    //cout<<"- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -"<<endl;
//    if(hNEvent[usedRuns]->Integral()>1000000)continue;

    TH2F *goodCells        = (TH2F*)f->Get(Form("2DChannelMap_Flag0_V%i", RunIdVec.at(i)));
    TH2F *deadCells        = (TH2F*)f->Get(Form("2DChannelMap_Flag1_V%i", RunIdVec.at(i)));
    TH2F *badCells         = (TH2F*)f->Get(Form("2DChannelMap_Flag2_V%i", RunIdVec.at(i)));
    TH1F *hCellFlag        = (TH1F*)f->Get("fhCellFlag");
    ampID[usedRuns]        = (TH2F*)f->Get("hCellAmplitude");
    hCellGoodMean[usedRuns]= (TH1D*)f->Get("hgoodMean");

    if(!badCells || !goodCells || !deadCells || !ampID[usedRuns] || !hCellFlag)
    {
      if(!badCells) Printf("Did not find 2DChannelMap_Flag2_V%i", RunIdVec.at(i));
      if(!goodCells)Printf("Did not find 2DChannelMap_Flag0_V%i", RunIdVec.at(i));
      if(!deadCells)Printf("Did not find 2DChannelMap_Flag1_V%i", RunIdVec.at(i));
      if(!ampID[usedRuns]) Printf("hCellAmplitude not found");
      if(!hCellFlag)Printf("fhCellFlag not found");
      cout<<endl;
      continue;
    }

    nEventsVsRuns->SetBinContent(usedRuns+1,hNEvent[usedRuns]->Integral());
    ampID[usedRuns]        ->SetName(Form("hCellAmplitudeRun%i",usedRuns));
    ampIDCl[usedRuns]      = (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeClRun%i",usedRuns));
    ampIDCl3Block[usedRuns]= (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeCl3RunBlock%i",usedRuns));
    ampIDCl1Block[usedRuns]= (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeCl1RunBlock%i",usedRuns));
    ampIDDelete[usedRuns]  = (TH2F*)ampID[usedRuns]->Clone(Form("hCellAmplitudeTest%i",usedRuns));

    hCellGoodMean[usedRuns]->SetLineColor(kGreen);
    if(iFirstRun==0)
    {
      Sum2DOrig      = (TH2F*)ampID[usedRuns]->Clone("Sum2DOrig");
      Sum2DSingleMask= (TH2F*)ampID[usedRuns]->Clone("Sum2DSingleMask");
      Sum2D3BlockMask= (TH2F*)ampID[usedRuns]->Clone("Sum2D3BlockMask");
      Sum2DIdeal     = (TH2F*)ampID[usedRuns]->Clone("Sum2DIdealDistr");
      Sum2DOrig      ->Reset();
      Sum2DSingleMask->Reset();
      Sum2D3BlockMask->Reset();
      Sum2DIdeal     ->Reset();
      hgoodMean      = (TH1D*)hCellGoodMean[usedRuns]->Clone("MeanSpectrumAllRuns");
      hgoodMean      ->Reset();
      Sum2D3BlockMaskA =(TH2F*)Sum2D3BlockMask->Clone("Sum2D3BlockMaskA");
      Sum2D3BlockMaskB =(TH2F*)Sum2D3BlockMask->Clone("Sum2D3BlockMaskB");
      Sum2D3BlockMaskC =(TH2F*)Sum2D3BlockMask->Clone("Sum2D3BlockMaskC");
      Sum2D3BlockMaskD =(TH2F*)Sum2D3BlockMask->Clone("Sum2D3BlockMaskD");
    }
    //if(i<30)hCellGoodMean[i]->SetLineColor(RainbowColors[i]);
    hgoodMean->Add(hCellGoodMean[usedRuns]); //..add all good distributions to build a mean of all runs
    hCellGoodMean[usedRuns]->SetLineWidth(3);

    //..fill the histo bad cell vs. run number
    Int_t percBad=0;
    for(Int_t icell = 0; icell < noOfCells; icell++)
    {
      Int_t flag =  hCellFlag->GetBinContent(icell+1);
      //..dead
      if(flag == 1) hFlagvsRun[0]->Fill(icell+1, usedRuns, 1);
      //..bad or warm
      if(flag>1)    hFlagvsRun[1]->Fill(icell+1, usedRuns, 1); //fill, use the x, y values
      //..dead+bad
      if(flag>0)
      {
        hFlagvsRun[2]->Fill(icell+1, usedRuns, 1);
        percBad++;
      }
    }

    if(1.0*percBad/noOfCells>0.3)
    {
      cout<<"Problem in run "<<RunIdVec.at(i)<<" detected. Large number of bad+dead cells (>30%) - please double check!"<<endl;
      cout<<"All entries of run: "<<RunIdVec.at(i)<<"/"<<usedRuns<<"(bin "<<usedRuns+1<<") will be set to 0"<<endl;
      badRunIdVec.push_back(RunIdVec.at(i));
      //..clear the hFlagvsRun histos for this bad run and overwrite it in next iteration
      for(Int_t icell = 0; icell < noOfCells; icell++)
      {
        hFlagvsRun[0]->SetBinContent(icell+1, usedRuns+1, 0);
        hFlagvsRun[1]->SetBinContent(icell+1, usedRuns+1, 0);
        hFlagvsRun[2]->SetBinContent(icell+1, usedRuns+1, 0);
      }
    }

    if(!hFlagNew)
    {
      hFlagNew = (TH2F*)goodCells->Clone(TString::Format("h2DChannelMapNew_FlagAll"));
      hFlagNew->Reset();
      hFlagNew->SetTitle("Selected flag greater than 0; cell column (#eta direction); cell raw (#phi direction)");
      hFlagNewClean = (TH2F*)goodCells->Clone(TString::Format("h2DChannelMapNew_FlagAllClean"));
      hFlagNewClean->Reset();
      hFlagNewClean->SetTitle("Selected flag greater than 0; cell column (#eta direction); cell raw (#phi direction)");
    }

    // Drawing histograms for each run
    //....................................
    cBad[usedRuns/totalperCv]->cd(usedRuns%totalperCv+1);
    SetHisto(badCells,"","",0);
    badCells->Draw("colz");
    TLatex* text = new TLatex(0.2,0.85,Form("Bad Cells - Run %i",RunIdVec.at(i)));
    text->SetTextSize(0.06);
    text->SetNDC();
    text->SetTextColor(1);
    text->Draw();
    //....................................
    cGood[usedRuns/totalperCv]->cd(usedRuns%totalperCv+1);
    SetHisto(goodCells,"","",0);
    goodCells->Draw("colz");
    TLatex* text1 = new TLatex(0.2,0.85,Form("Good Cells - Run %i",RunIdVec.at(i)));
    text1->SetTextSize(0.06);
    text1->SetNDC();
    text1->SetTextColor(1);
    text1->Draw();
    //....................................
    cDead[usedRuns/totalperCv]->cd(usedRuns%totalperCv+1);
    SetHisto(deadCells,"","",0);
    deadCells->Draw("colz");
    TLatex* text2 = new TLatex(0.2,0.85,Form("Dead Cells - Run %i",RunIdVec.at(i)));
    text2->SetTextSize(0.06);
    text2->SetNDC();
    text2->SetTextColor(1);
    text2->Draw();
    //....................................
    cAmp[usedRuns/totalperCv]->cd(usedRuns%totalperCv+1)->SetLogy();
    TH1D* proj = ampID[usedRuns]->ProjectionX(TString::Format("hampIDProj_Run%d",RunIdVec.at(i)));
    SetHisto(proj,"","",0);
    proj->SetLineColor(kCyan+2);
    proj->GetYaxis()->SetRangeUser(0.0000001,100);
    proj->Draw("hist");
    TLatex* text3 = new TLatex(0.2,0.85,Form("Amplitudes - Run %i",RunIdVec.at(i)));
    text3->SetTextSize(0.06);
    text3->SetNDC();
    text3->SetTextColor(1);
    text3->Draw();
    //..create a summ version
    if(iFirstRun==0)projSum = ampID[usedRuns]->ProjectionX("hampIDProj_Sum");
    if(iFirstRun>0) projSum->Add(proj);
    Sum2DOrig->Add(ampID[usedRuns]);

    iFirstRun=1;
    usedRuns++;
  }
  nRunsUsed=usedRuns;  //why that?? I forgot
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  // Count number of cells that are bad in at least one run
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  Int_t nBadCells=0;
  for(Int_t ic = 0; ic < noOfCells; ic++)
  {
    TH1D *htmpCell = hFlagvsRun[2]->ProjectionY(TString::Format("hIDProj_cell%d", ic), ic+1, ic+1);
    Double_t sumRun = 0;
    for(Int_t ir = 0; ir < nRunsUsed ; ir++)
    {
      sumRun += htmpCell->GetBinContent(ir+1);
      if(htmpCell->GetBinContent(ir+1)==1)
      {
        //..mask the bad cells for this run
        //..Direction of amplitude (Checks energies from 0-nBins GeV)
        for (Int_t amp = 1; amp <= ampIDCl[ir]->GetNbinsX(); amp++)
        {
          ampIDCl[ir]->SetBinContent(amp,ic+1,0);
        }
      }
    }
    if(sumRun!=0)nBadCells++; //only count for the dead+bad case
  }

  hgoodMean->Scale(1.0/nRunsUsed);

    //..create an ideal 2D energy distribution for a later division
  //..helps to identify where cells have been unmasked and whether
  //..this was a good or bad unmasking desicion (e.g. creating spikes)
  for(Int_t eBin=0;eBin<Sum2DIdeal->GetNbinsX();eBin++)
  {
    Double_t binVal=hgoodMean->GetBinContent(eBin+1);
    for(Int_t icell=0;icell<Sum2DIdeal->GetNbinsY();icell++)
    {
      Sum2DIdeal->SetBinContent(eBin+1,icell+1,binVal);
    }
  }
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  // Draw masked cell amplitude by masking cells that were identified bad or dead in this specific run
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  for(Int_t ir = 0; ir < nRunsUsed ; ir++)
  {
    cAmp[ir/totalperCv]->cd(ir%totalperCv+1)->SetLogy();
    TH1D* proj = ampIDCl[ir]->ProjectionX(TString::Format("hampIDMaskedProj_Run%d",RunIdVec.at(ir)));
    SetHisto(proj,"","",0);
    proj->SetLineColor(kSpring-2);
    proj->Draw("hist same");
    //..create a sum version
    if(ir==0)projSumC = ampIDCl[ir]->ProjectionX("hampIDProj_SumMasked");
    if(ir>0) projSumC->Add(proj);
    Sum2DSingleMask->Add(ampIDCl[ir]);
  }
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  // Draw summary histogram with dead and bad cells vs run
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  cout<<"nbins hFlagvsRun[1]: "<<hFlagvsRun[1]->GetYaxis()->GetNbins()<<endl;
  hFlagvsRun[1]->GetYaxis()->SetRange(1,nRunsUsed); //..This is for some mysterious reason necessary otherwise the x-axis range of the projected histogram will be 2*nRunsUsed
  deadCellsVsRun    =hFlagvsRun[0]->ProjectionY("deadCellsVsRun");
  badCellsVsRun     =hFlagvsRun[1]->ProjectionY("badCellsVsRun");
  deadbadCellsVsRun =hFlagvsRun[2]->ProjectionY("badDeadCellsVsRun");
  cellSummaryCan->Divide(2);
  cellSummaryCan->cd(1);
  SetHisto(badCellsVsRun,"Run","No. of cells",0);
  badCellsVsRun->GetYaxis()->SetTitleOffset(1.7);
  badCellsVsRun->GetYaxis()->SetRangeUser(0,badCellsVsRun->GetMaximum()*1.2);
  if(nRunsUsed>8)badCellsVsRun->GetXaxis()->SetLabelSize(0.06-0.01*(nRunsUsed-8)/4); //..lables should get smaller the more runs are on the x-axis
  else badCellsVsRun->GetXaxis()->SetLabelSize(0.06);
    if(nRunsUsed>24)badCellsVsRun->GetXaxis()->SetLabelSize(0.025);   //..labels should not be smaller than 0.025
  badCellsVsRun->SetLineColor(kCyan+2);
  badCellsVsRun->SetLineWidth(3);

  badCellsVsRun->DrawCopy("hist");
  deadCellsVsRun->SetLineColor(kMagenta-2);
  deadCellsVsRun->SetLineWidth(3);
    deadCellsVsRun->DrawCopy("same");

  TLegend *legSum0 = new TLegend(0.60,0.82,0.85,0.93);
  legSum0->SetBorderSize(0);
  legSum0->SetTextSize(0.03);
  legSum0->AddEntry(badCellsVsRun,"Bad cells","l");
  legSum0->AddEntry(deadCellsVsRun,"Dead cells","l");

    cellSummaryCan->cd(2);
    SetHisto(nEventsVsRuns,"Run","No. of Events",0);
    nEventsVsRuns->DrawCopy("hist");

    cellSummaryCan2->Divide(2);
    for(Int_t iRun=0;iRun<nRunsUsed;iRun++)
    {
      hBadVsEvent    ->Fill(nEventsVsRuns->GetBinContent(iRun+1),badCellsVsRun->GetBinContent(iRun+1));
      hDeadBadVsEvent->Fill(nEventsVsRuns->GetBinContent(iRun+1),deadbadCellsVsRun->GetBinContent(iRun+1),1);
    }
    cellSummaryCan2->cd(1);
    SetHisto(hBadVsEvent,"events in run","bad cells in run",0);
  hBadVsEvent->DrawCopy("colz");
  cellSummaryCan2->cd(2);
  SetHisto(hDeadBadVsEvent,"events in run","bad+dead cells in run",0);
  hDeadBadVsEvent->DrawCopy("colz");
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //Draw bad & dead cells vs. ID
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  Color_t histCol=kCyan-8;
  //..Draw summary for all runs
  cFlagDeadBadI->cd()->SetLeftMargin(0.05);
  cFlagDeadBadI->cd()->SetRightMargin(0.05);
  cFlagDeadBadI->cd()->SetBottomMargin(0.06);
  cFlagDeadBadI->cd()->SetTopMargin(0.02);
  SetHisto(hFlagvsRun[0],"dead cell ID","Run No.",1); //ELI TT
  hFlagvsRun[0]->SetFillColor(histCol);
  hFlagvsRun[0]->Draw("BOX");
  cFlagDeadBadII->cd()->SetLeftMargin(0.05);
  cFlagDeadBadII->cd()->SetRightMargin(0.05);
  cFlagDeadBadII->cd()->SetBottomMargin(0.05);
  cFlagDeadBadII->cd()->SetTopMargin(0.02);
  SetHisto(hFlagvsRun[1],"bad cell ID","Run No.",1);
  hFlagvsRun[1]->SetFillColor(histCol);
  hFlagvsRun[1]->Draw("BOX");

  cFlagSumI->cd()->SetLeftMargin(0.05);
  cFlagSumI->cd()->SetRightMargin(0.05);
  cFlagSumI->cd()->SetBottomMargin(0.05);
  cFlagSumI->cd()->SetTopMargin(0.02);
  SetHisto(hFlagvsRun[2],"dead+bad cell ID pt.1","Run No.",1);
  hFlagvsRun[2]->SetFillColor(histCol);
  hFlagvsRun[2]->GetXaxis()->SetRangeUser(0,8837);
  hFlagvsRun[2]->DrawCopy("BOX");
  cFlagSumII->cd()->SetLeftMargin(0.05);
  cFlagSumII->cd()->SetRightMargin(0.05);
  cFlagSumII->cd()->SetBottomMargin(0.05);
  cFlagSumII->cd()->SetTopMargin(0.02);
  SetHisto(hFlagvsRun[2],"dead+bad cell ID pt.2","Run No.",1);
  hFlagvsRun[2]->GetXaxis()->SetRangeUser(8838,17674-2); //ELI why does that not work?
  hFlagvsRun[2]->DrawCopy("BOX");

  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..compress the histogram for visibility since
  //..90% of the space is filled by empty good cells
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  TH2F* CompressedAll = CompressHistogram(hFlagvsRun[2],noOfCells , nBadCells,RunIdVec);
  CompressedAll->SetName(Form("%s_V1",CompressedAll->GetName()));
  cFlagSumCompAllI->cd()->SetLeftMargin(0.05);
  cFlagSumCompAllI->cd()->SetRightMargin(0.05);
  cFlagSumCompAllI->cd()->SetBottomMargin(0.05);
  cFlagSumCompAllI->cd()->SetTopMargin(0.02);
  SetHisto(CompressedAll,"certain dead+bad cell pt.1","Run No.",1);
  CompressedAll->GetXaxis()->SetRangeUser(0,nBadCells/2);
  CompressedAll->SetFillColor(histCol);
  CompressedAll->DrawCopy("BOX");
  cFlagSumCompAllII->cd()->SetLeftMargin(0.05);
  cFlagSumCompAllII->cd()->SetRightMargin(0.05);
  cFlagSumCompAllII->cd()->SetBottomMargin(0.05);
  cFlagSumCompAllII->cd()->SetTopMargin(0.02);
  SetHisto(CompressedAll,"certain dead+bad cell pt.2","Run No.",1);
  CompressedAll->GetXaxis()->SetRangeUser(nBadCells/2,nBadCells+2);
  CompressedAll->DrawCopy("BOX");



  //cFlagSumCompAllII->WaitPrimitive();
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..................................................................
  // Find cells that are bad in a low fraction of runs
  //..................................................................
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  cout<<"    o Summary: "<<nBadCells<<" bad cells of "<<noOfCells<<" total cells and "<<nRunsUsed<<" runs"<<endl;
  //cout<<"    o 1 bad/dead run out of "<<nRunsUsed<<" is "<<1.0/nRunsUsed<<endl;
  Double_t percbad = 0.20;       //..If a cell is only bad/dead at 20% of the runs, test it again
  Double_t setBadCompletley=0.8; //..If a cell is bad in >80% of the runs then set it bad completley
  cout<<"    o Cells with less than "<<percbad*100<<"% of bad/dead runs are double checked. These are cells with less than "<<nRunsUsed*percbad<<" runs"<<endl;
  cout<<"    o Cell id with low fraction of bad/dead runs:"<<endl;

  std::vector<Int_t> cellVector;   //..Filled with cells that have only a small fraction of bad runs
  Double_t fracRun = 0, sumRun = 0;
  for(Int_t ic = 0; ic < noOfCells; ic++)
  {
    TH1D *htmpCell = hFlagvsRun[2]->ProjectionY(TString::Format("hIDProj_cell%d", ic), ic+1, ic+1);
    fracRun = 0, sumRun = 0;
    for(Int_t ir = 0; ir < nRunsUsed ; ir++)
    {
      sumRun += htmpCell->GetBinContent(ir+1);
    }
    fracRun = sumRun/(Double_t)(nRunsUsed);

    //..loose selection criteria to remove the runs with zero entries
    if(fracRun>0)
    {
      Int_t cellColumn=0, cellRow=0;
      Int_t cellColumnAbs=0, cellRowAbs=0;
      Int_t trash = 0 ;
      fCaloUtils->GetModuleNumberCellIndexesAbsCaloMap(ic,0,cellColumn,cellRow,trash,cellColumnAbs,cellRowAbs);
      hFlagNew->Fill(cellColumnAbs, cellRowAbs, fracRun*100);
      //..If a cell is bad in >80% of the runs then set it bad completley
      if(fracRun>setBadCompletley)
      {
        for(Int_t j = 0 ; j < nRunsUsed; j++)
        {
          hFlagvsRun[2]->SetBinContent(ic+1,j+1,1);
        }
      }
      //..If a cell is bad in <20% of the runs then set it OK completley
      if(fracRun<percbad)
      {
        for(Int_t j = 0 ; j < nRunsUsed; j++)
        {
          hFlagvsRun[2]->SetBinContent(ic+1,j+1,0);
        }
      }
      //..If a cell is bad in a low fraction of runs double check it
      if(fracRun<percbad)
      {
        //..ELI for the moment - cout<<ic<<", "<<flush;
        //..ELI for the moment - cellVector.push_back(ic);
      }
    }
  }
  cout<<endl;
  cout<<"    o In total "<<cellVector.size()<<" cells fall under this category"<<endl;
  //..................................................................
  // Plot cells with low fraction if bad runs
  // Double checks if they are really bad and re-includes them
  //..................................................................
  gSystem->mkdir(TString::Format("%s/RunByRunSummary%i/", analysisOutput.Data(),nRunsUsed));
  TString pdfName  = Form("%s/RunByRunSummary%i/%s_LowFractionCells",analysisOutput.Data(),nRunsUsed,listName.Data());
  PlotLowFractionCells(pdfName,cellVector,hFlagvsRun,nRunsUsed,ampID,hCellGoodMean);
  //..................................................................
  // Draw masked cell amplitude by masking cells that were identified bad or dead in a certain runblock
  //..................................................................
  for(Int_t ic = 0; ic < noOfCells; ic++)
  {
    TH1D *htmpCellAllRuns     =hFlagvsRun[2]->ProjectionY(TString::Format("hIDProj_cell%d", ic), ic+1, ic+1);
    Double_t integralBlock1   =htmpCellAllRuns->Integral(0,splitRuns1);
    Double_t integralBlock2   =htmpCellAllRuns->Integral(splitRuns1+1,splitRuns2);
    Double_t integralBlock3   =htmpCellAllRuns->Integral(splitRuns2+1,splitRuns3);
    Double_t integralBlock4   =htmpCellAllRuns->Integral(splitRuns3+1,nRunsUsed);

    //..manually mask cells
    if(badcellsBlock1.size()>0 && ic==badcellsBlock1.at(0))integralBlock1=1;
    if(badcellsBlock2.size()>0 && ic==badcellsBlock2.at(0))integralBlock2=1;
    if(badcellsBlock3.size()>0 && ic==badcellsBlock3.at(0))integralBlock3=1;
    if(badcellsBlock4.size()>0 && ic==badcellsBlock4.at(0))integralBlock4=1;

    Double_t integralBlock3Sum=integralBlock1+integralBlock2+integralBlock3;
    //..only if the cell is bad in 1 run we will start the
    //..masking proceedure
    if(integralBlock3Sum>0)
    {
      for(Int_t ir = 0; ir < nRunsUsed ; ir++)
      {
        if((integralBlock1>0 && ir<=splitRuns1) ||
           (integralBlock2>0 && ir>splitRuns1 && ir<=splitRuns2) ||
           (integralBlock3>0 && ir>splitRuns2 && ir<=splitRuns3) ||
           (integralBlock4>0 && ir>splitRuns3))
        {
          for (Int_t amp = 1; amp <= ampIDCl3Block[ir]->GetNbinsX(); amp++)
          {
            //..mask the cell, if it is once bad in the specific block
            ampIDCl3Block[ir]->SetBinContent(amp,ic+1,0);
          }
        }
                //..mask the cell if it is bad in any run in the period
        for (Int_t amp = 1; amp <= ampIDCl1Block[ir]->GetNbinsX(); amp++)
        {
          ampIDCl1Block[ir]->SetBinContent(amp,ic+1,0);
        }
      }
    }
  }
  //..build projections of amplitudes
  for(Int_t ir = 0; ir < nRunsUsed ; ir++)
  {
    cAmp[ir/totalperCv]->cd(ir%totalperCv+1)->SetLogy();
    TH1D* proj      = ampIDCl3Block[ir]->ProjectionX(TString::Format("hampIDMaskedCleanedProj_Run%d",RunIdVec.at(ir)));
    TH1D* projBlock = ampIDCl1Block[ir]->ProjectionX(TString::Format("hampIDMaskedCleaned1blockProj_Run%d",RunIdVec.at(ir)));
    SetHisto(proj,"","",0);
    proj->SetLineColor(kBlue-1);
    proj->Draw("hist same");
    //..create a summ version
    if(ir==0)
    {
      projSumC3Blocks = ampIDCl3Block[ir]->ProjectionX("hampIDProj_SumMaskedMultipleBlock");
      projSumC3BlocksA= ampIDCl3Block[ir]->ProjectionX("hampIDProj_SumMaskedMultipleBlockA");
      projSumC3BlocksB= ampIDCl3Block[ir]->ProjectionX("hampIDProj_SumMaskedMultipleBlockB");
      projSumC3BlocksC= ampIDCl3Block[ir]->ProjectionX("hampIDProj_SumMaskedMultipleBlockC");
      projSumC3BlocksD= ampIDCl3Block[ir]->ProjectionX("hampIDProj_SumMaskedMultipleBlockD");
      projSumC3BlocksB->Reset();
      projSumC3BlocksC->Reset();
      projSumC3BlocksD->Reset();
      projSumC1Block = ampIDCl1Block[ir]->ProjectionX("hampIDProj_SumMaskedOneBlock");
    }
    else
    {
                                          projSumC3Blocks->Add(proj);
      if(ir<=splitRuns1)                  projSumC3BlocksA->Add(proj);
      if(ir>splitRuns1 && ir<=splitRuns2) projSumC3BlocksB->Add(proj);
      if(ir>splitRuns2 && ir<=splitRuns3) projSumC3BlocksC->Add(proj);
      if(ir>splitRuns3)                   projSumC3BlocksD->Add(proj);
      projSumC1Block ->Add(projBlock);
    }
    Sum2D3BlockMask->Add(ampIDCl3Block[ir]);
    if(ir<=splitRuns1)                 Sum2D3BlockMaskA->Add(ampIDCl3Block[ir]);
    if(ir>splitRuns1 && ir<=splitRuns2)Sum2D3BlockMaskB->Add(ampIDCl3Block[ir]);
    if(ir>splitRuns2 && ir<=splitRuns3)Sum2D3BlockMaskC->Add(ampIDCl3Block[ir]);
    if(ir>splitRuns3)                  Sum2D3BlockMaskD->Add(ampIDCl3Block[ir]);
  }
  //..................................................................
  // Draw the cells masked in each respective run and summed amplitudes
  //..................................................................
  cAmpSum->Divide(2);
  cAmpSum->cd(1)->SetLogy();
  SetHisto(projSum,"","No. of hits/event",0);
  projSum->GetYaxis()->SetRangeUser(0.0000001,1000);
  projSum->SetLineColor(kCyan+3);
  projSum->SetLineWidth(2);
  projSum->Draw("hist");

  projSumC->SetLineColor(kSpring-2);
  projSumC->SetLineWidth(2);
  projSumC->DrawCopy("hist same");

  projSumC3Blocks->SetLineColor(kCyan-8);
  projSumC3Blocks->SetLineWidth(2);
  projSumC3Blocks->DrawCopy("hist same");
  projSumC1Block->SetLineColor(2);
  projSumC1Block->DrawCopy("hist same");
  /*
  //..only when you have decided how many blocks you are selecting
  //..and put the right numbers in L.93-95 you can plot the blocks below
  projSumC3BlocksA->SetLineColor(4);
  projSumC3BlocksA->DrawCopy("hist same");
  projSumC3BlocksB->SetLineColor(5);
  projSumC3BlocksB->DrawCopy("hist same");
  projSumC3BlocksC->SetLineColor(6);
  projSumC3BlocksC->DrawCopy("hist same");
  projSumC3BlocksD->SetLineColor(kRed-7);
  projSumC3BlocksD->DrawCopy("hist same");
  */
  TLegend *legSum = new TLegend(0.35,0.70,0.55,0.85);
  legSum->AddEntry((TH1D*)projSum->Clone("A1"),"Original engery distr.","l");
  legSum->AddEntry((TH1D*)projSumC->Clone("A2"),"Cells masked in each run","l");
  legSum->AddEntry((TH1D*)projSumC3Blocks->Clone("A3"),"Cells reincluded and masked in 3 blocks","l");
  legSum->AddEntry((TH1D*)projSumC1Block->Clone("A4"),"1 Block","l");
  legSum->SetBorderSize(0);
  legSum->SetTextSize(0.03);
  legSum->Draw("same");

  cAmpSum->cd(2);
  TLegend *legRatio = new TLegend(0.25,0.30,0.4,0.45);

  projSumC3Blocks->Divide(projSumC);
  SetHisto(projSumC3Blocks,"","block masked/single masked",0);
  projSumC3Blocks->SetLineColor(30);
  projSumC3Blocks->DrawCopy("hist");
  legRatio->AddEntry((TH1D*)projSumC1Block->Clone("A"),"re-incl & masked as one big block","l");
  projSumC1Block->SetLineColor(4);
  projSumC1Block->Divide(projSumC);
  projSumC1Block->DrawCopy("same");
  legRatio->AddEntry((TH1D*)projSumC3Blocks->Clone("B"),"re-incl & masked in three blocks","l");
  projSumC1Block->SetLineStyle(3);
  projSumC1Block->SetLineColor(6);
  projSumC1Block->Divide(projSumC3Blocks);
  projSumC1Block->DrawCopy("same");
  legRatio->AddEntry((TH1D*)projSumC1Block->Clone("C"),"ratio 1Block/3Blocks","l");
  legRatio->SetBorderSize(0);
  legRatio->SetTextSize(0.03);
  legRatio->Draw("same");
  //..................................................................
  // Draw the Amp vs E histogram and the ratio to the masked 2D one
  //..................................................................
  cAmpSum2D->Divide(2);
  cAmpSum2D->cd(1)->SetLogz();
  SetHisto(Sum2D3BlockMask,"","",0);
  Sum2D3BlockMask->GetZaxis()->SetRangeUser(10e-8,10);
  Sum2D3BlockMask->DrawCopy("colz");

  cAmpSum2D->cd(2);
  Sum2D3BlockMask->Divide(Sum2DIdeal);
  SetHisto(Sum2D3BlockMask,"","",0);
  Sum2D3BlockMask->SetTitle("Amplitude Vs. run / av. amp. vs. run");
  //Sum2D3BlockMask->GetZaxis()->SetRangeUser(2,20);
  Sum2D3BlockMask->DrawCopy("colz");

  //..................................................................
  TLatex* textA = new TLatex(0.5,0.8,Form("Block over run %i-%i",0,splitRuns1));
  textA->SetTextSize(0.04);
  textA->SetTextColor(1);
  textA->SetNDC();
  TLatex* textB = new TLatex(0.5,0.8,Form("Block over run %i-%i",splitRuns1,splitRuns2));
  textB->SetTextSize(0.04);
  textB->SetTextColor(1);
  textB->SetNDC();
  TLatex* textC = new TLatex(0.5,0.8,Form("Block over run %i-%i",splitRuns2,splitRuns3));
  textC->SetTextSize(0.04);
  textC->SetTextColor(1);
  textC->SetNDC();
  TLatex* textD = new TLatex(0.5,0.8,Form("Block over run %i-%i",splitRuns3,nRunsUsed));
  textD->SetTextSize(0.04);
  textD->SetTextColor(1);
  textD->SetNDC();

  cAmpSum2D4Blocks->Divide(2,2);
  cAmpSum2D4Blocks->cd(1)->SetLogz();
  SetHisto(Sum2D3BlockMaskA,"","",0);
  Sum2D3BlockMaskA->GetZaxis()->SetRangeUser(10e-8,10);
  Sum2D3BlockMaskA->DrawCopy("colz");
  textA->Draw();
  cAmpSum2D4Blocks->cd(2)->SetLogz();
  SetHisto(Sum2D3BlockMaskB,"","",0);
  Sum2D3BlockMaskB->GetZaxis()->SetRangeUser(10e-8,10);
  Sum2D3BlockMaskB->DrawCopy("colz");
  textB->Draw();
  cAmpSum2D4Blocks->cd(3)->SetLogz();
  SetHisto(Sum2D3BlockMaskC,"","",0);
  Sum2D3BlockMaskC->GetZaxis()->SetRangeUser(10e-8,10);
  Sum2D3BlockMaskC->DrawCopy("colz");
  textC->Draw();
  cAmpSum2D4Blocks->cd(4)->SetLogz();
  SetHisto(Sum2D3BlockMaskD,"","",0);
  Sum2D3BlockMaskD->GetZaxis()->SetRangeUser(10e-8,10);
  Sum2D3BlockMaskD->DrawCopy("colz");
  textD->Draw();

  cAmpSum2D4BlocksRatio->Divide(2,2);
  cAmpSum2D4BlocksRatio->cd(1)->SetLogz();
  Sum2D3BlockMaskA->Divide(Sum2DIdeal);
  SetHisto(Sum2D3BlockMaskA,"","",0);
  Sum2D3BlockMaskA->SetTitle("Amplitude Vs. run / av. amp. vs. run");
  Sum2D3BlockMaskA->DrawCopy("colz");
  textA->Draw();
  cAmpSum2D4BlocksRatio->cd(2)->SetLogz();
  Sum2D3BlockMaskB->Divide(Sum2DIdeal);
  SetHisto(Sum2D3BlockMaskB,"","",0);
  Sum2D3BlockMaskB->SetTitle("Amplitude Vs. run / av. amp. vs. run");
  Sum2D3BlockMaskB->DrawCopy("colz");
  textB->Draw();
  cAmpSum2D4BlocksRatio->cd(3)->SetLogz();
  Sum2D3BlockMaskC->Divide(Sum2DIdeal);
  SetHisto(Sum2D3BlockMaskC,"","",0);
  Sum2D3BlockMaskC->SetTitle("Amplitude Vs. run / av. amp. vs. run");
  Sum2D3BlockMaskC->DrawCopy("colz");
  textC->Draw();
  cAmpSum2D4BlocksRatio->cd(4)->SetLogz();
  Sum2D3BlockMaskD->Divide(Sum2DIdeal);
  SetHisto(Sum2D3BlockMaskD,"","",0);
  Sum2D3BlockMaskD->SetTitle("Amplitude Vs. run / av. amp. vs. run");
  Sum2D3BlockMaskD->DrawCopy("colz");
  textD->Draw();
  //..................................................................
  //..Plot the cleaned up histogram again
  //..................................................................
  cFlagSumCleanedI->cd()->SetLeftMargin(0.05);
  cFlagSumCleanedI->cd()->SetRightMargin(0.05);
  cFlagSumCleanedI->cd()->SetBottomMargin(0.05);
  cFlagSumCleanedI->cd()->SetTopMargin(0.02);
  SetHisto(hFlagvsRun[2],"dead+bad cell ID (cleaned) pt.1","Run No.",1);
  hFlagvsRun[2]->GetXaxis()->SetRangeUser(0,8837);
  hFlagvsRun[2]->SetFillColor(histCol);
  hFlagvsRun[2]->DrawCopy("BOX");
  cFlagSumCleanedII->cd()->SetLeftMargin(0.05);
  cFlagSumCleanedII->cd()->SetRightMargin(0.05);
  cFlagSumCleanedII->cd()->SetBottomMargin(0.05);
  cFlagSumCleanedII->cd()->SetTopMargin(0.02);
  SetHisto(hFlagvsRun[2],"dead+bad cell ID (cleaned) pt.2","Run No.",1);
  hFlagvsRun[2]->GetXaxis()->SetRangeUser(8837,17674);
  hFlagvsRun[2]->DrawCopy("BOX");

  //..................................................................
  // Draw summary histogram with dead and bad cells vs run
  //..................................................................
  badCellsVsRunC  =hFlagvsRun[1]->ProjectionY("badCellsVsRunC");
  cellSummaryCan->cd(1);
  badCellsVsRunC->SetLineColor(kGreen-9);
  badCellsVsRunC->SetLineWidth(2);
  badCellsVsRunC->SetFillColorAlpha(10,0);
  badCellsVsRunC->DrawCopy("same");

  legSum0->AddEntry(badCellsVsRunC,"Bad cells cleaned","l");
  legSum0->Draw("same");
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //..compress the histogram for visibility since
  //..90% of the space is filled by empty good cells
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  cout<<endl;
  TH2F* CompressedClean = CompressHistogram(hFlagvsRun[2],noOfCells , nBadCells,RunIdVec);
  //CompressedClean->SetName(Form("%s_Cleaned",CompressedClean->GetName()));
  cFlagSumCompCleanI->cd()->SetLeftMargin(0.065);
  cFlagSumCompCleanI->cd()->SetRightMargin(0.02);
  cFlagSumCompCleanI->cd()->SetBottomMargin(0.05);
  cFlagSumCompCleanI->cd()->SetTopMargin(0.02);
  SetHisto(CompressedClean,"certain dead+bad cell (cleaned) pt.1","Run No.",1);
  CompressedClean->GetXaxis()->SetRangeUser(0,nBadCells/2);
  CompressedClean->SetFillColor(histCol);
  if(nRunsUsed>8 && nRunsUsed<24)CompressedClean->GetYaxis()->SetLabelSize(0.025-0.1*(nRunsUsed-8)/4); //..lables should get smaller the more runs are on the x-axis
  else CompressedClean->GetYaxis()->SetLabelSize(0.025);
  CompressedClean->GetYaxis()->SetTitleOffset(0.7);
  CompressedClean->DrawCopy("BOX");
  cFlagSumCompCleanII->cd()->SetLeftMargin(0.055);
  cFlagSumCompCleanII->cd()->SetRightMargin(0.02);
  cFlagSumCompCleanII->cd()->SetBottomMargin(0.05);
  cFlagSumCompCleanII->cd()->SetTopMargin(0.02);
  SetHisto(CompressedClean,"certain dead+bad cell (cleaned) pt.2","Run No.",1);
  if(nRunsUsed>8 && nRunsUsed<24)CompressedClean->GetYaxis()->SetLabelSize(0.025-0.1*(nRunsUsed-8)/4); //..lables should get smaller the more runs are on the x-axis
  else CompressedClean->GetYaxis()->SetLabelSize(0.025);
  CompressedClean->GetYaxis()->SetTitleOffset(0.7);
  CompressedClean->GetXaxis()->SetRangeUser(nBadCells/2,nBadCells+2);
  CompressedClean->DrawCopy("BOX");

  //..................................................................
  //..build and draw a new 2D histogram after all the cleaning/resetting was done
  //..................................................................
  for(Int_t ic = 0; ic < noOfCells; ic++)
  {
    TH1D *htmpCell = hFlagvsRun[2]->ProjectionY(TString::Format("hIDProj_cell%d", ic), ic+1, ic+1);
    fracRun = 0, sumRun = 0;
    for(Int_t ir = 0; ir < nRunsUsed ; ir++)
    {
      sumRun += htmpCell->GetBinContent(ir+1);
    }
    fracRun = sumRun/(Double_t)(nRunsUsed);
    if(fracRun>0)
    {
      Int_t cellColumn=0, cellRow=0;
      Int_t cellColumnAbs=0, cellRowAbs=0;
      Int_t trash = 0 ;
      fCaloUtils->GetModuleNumberCellIndexesAbsCaloMap(ic,0,cellColumn,cellRow,trash,cellColumnAbs,cellRowAbs);
      hFlagNewClean->Fill(cellColumnAbs, cellRowAbs, fracRun*100);
    }
  }
    //..2D fraction
    cFlagNew->Divide(2);
    cFlagNew->cd(1);
  SetHisto(hFlagNew,"","",0);
  hFlagNew->Draw("colz");
    cFlagNew->cd(2);
  SetHisto(hFlagNewClean,"","",0);
  hFlagNewClean->Draw("colz");
  //..................................................................
  // Print out an overview of this run-by-run analysis
  //..................................................................
  Int_t bcBolckSum=0;

  TH1D *htmpCellSum = hFlagvsRun[2]->ProjectionX("countSum");
  for(Int_t ic = 0; ic < noOfCells; ic++)
  {
    if(htmpCellSum->GetBinContent(ic+1)>0)bcBolckSum++;
  }

    cout<<"...................................."<<endl;
  cout<<"Summary: "<<nBadCells<<" bad cells of "<<noOfCells<<" total cells and "<<nRunsUsed<<" runs"<<endl;
    cout<<"o All bad cells: "<<nBadCells<<endl;
    cout<<"o low fraction bad cells: "<<cellVector.size()<<endl;
    cout<<"o bad cells after reinclusion: "<<bcBolckSum<<endl;
    cout<<"o rescued cells: "<<nBadCells-bcBolckSum<<endl;
    if(cellVector.size()!=0)cout<<"o These are: "<<100*(nBadCells-bcBolckSum)/cellVector.size()<<"% of low frac cells"<<endl;
    cout<<"...................................."<<endl;

    if(badRunIdVec.size()>0)
    {
        cout<<"There were bad runs detected that could not be used:"<<endl;
        for(Int_t badRun=0; badRun<(Int_t)badRunIdVec.size(); badRun++)
        {
        cout<<badRunIdVec.at(badRun)<<", "<<flush;
        }
      }
    cout<<endl;
    cout<<"...................................."<<endl;

    //_______________________________________________________________________
    //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //. . Save histograms to file
  //. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  //_______________________________________________________________________
  TString fileName       = Form("%s/RunByRunSummary%i/%s_Results.root",analysisOutput.Data(),nRunsUsed,listName.Data());
  TFile* rootFile        = new TFile(fileName,"recreate");
  for(Int_t ic = 0; ic<nCv; ic++)
  {
    rootFile->WriteObject(cBad [ic],cBad [ic]->GetName());
    rootFile->WriteObject(cGood[ic],cGood[ic]->GetName());
    rootFile->WriteObject(cDead[ic],cDead[ic]->GetName());
    rootFile->WriteObject(cAmp [ic],cAmp [ic]->GetName());
  }

  rootFile->WriteObject(cellSummaryCan,cellSummaryCan->GetName());
  rootFile->WriteObject(cAmpSum,cAmpSum->GetName());
  rootFile->WriteObject(cFlagDeadBadI,cFlagDeadBadI->GetName());
  rootFile->WriteObject(cFlagDeadBadII,cFlagDeadBadII->GetName());
  rootFile->WriteObject(cFlagSumI,cFlagSumII->GetName());
  rootFile->WriteObject(cFlagSumII,cFlagSumII->GetName());
  rootFile->WriteObject(cFlagSumCleanedI,cFlagSumCleanedI->GetName());
  rootFile->WriteObject(cFlagSumCleanedII,cFlagSumCleanedII->GetName());
  rootFile->WriteObject(cFlagSumCompAllI,cFlagSumCompAllI->GetName());
  rootFile->WriteObject(cFlagSumCompAllII,cFlagSumCompAllII->GetName());
  rootFile->WriteObject(cFlagSumCompCleanI,cFlagSumCompCleanI->GetName());
  rootFile->WriteObject(cFlagSumCompCleanII,cFlagSumCompCleanII->GetName());
  rootFile->WriteObject(cFlagNew,cFlagNew->GetName());
  rootFile->WriteObject(cAmpSum2D,cAmpSum2D->GetName());
  rootFile->WriteObject(cAmpSum2D4Blocks,cAmpSum2D4Blocks->GetName());
  rootFile->WriteObject(cAmpSum2D4BlocksRatio,cAmpSum2D4BlocksRatio->GetName());
  //..histograms
  rootFile->WriteObject(hFlagNew,hFlagNew->GetName());
  rootFile->WriteObject(CompressedAll,CompressedAll->GetName());
  rootFile->WriteObject(hFlagvsRun[2],hFlagvsRun[2]->GetName());      //..bad/dead vs. run number cleaned for low frac runs
  rootFile->WriteObject(CompressedClean,CompressedClean->GetName());  //..bad/dead vs. run number cleaned&compressed
  rootFile->WriteObject(projSum,projSum->GetName());
  rootFile->WriteObject(projSumC,projSumC->GetName());
  rootFile->WriteObject(projSumC3Blocks,projSumC3Blocks->GetName());
  rootFile->WriteObject(nEventsVsRuns,nEventsVsRuns->GetName());
  for(Int_t ir = 0; ir < nRunsUsed ; ir++)
  {
    rootFile->WriteObject(ampIDCl[ir],ampIDCl[ir]->GetName()); //..single run masked (original bad ch. analysis)
    rootFile->WriteObject(ampID[ir],ampID[ir]->GetName()); //..original distribution - unmasked
    rootFile->WriteObject(ampIDDelete[ir],ampIDDelete[ir]->GetName());
  }


  //..plot the canvases of cells into a .pdf file
  TString badCanvasName =Form("%s/RunByRunSummary%i/%s_BadCells.pdf", analysisOutput.Data(),nRunsUsed,listName.Data());
  TString goodCanvasName=Form("%s/RunByRunSummary%i/%s_GoodCells.pdf", analysisOutput.Data(),nRunsUsed,listName.Data());
  TString deadCanvasName=Form("%s/RunByRunSummary%i/%s_DeadCells.pdf", analysisOutput.Data(),nRunsUsed,listName.Data());
  TString ampCanvasName =Form("%s/RunByRunSummary%i/%s_Amplitudes.pdf", analysisOutput.Data(),nRunsUsed,listName.Data());
  TString summaryPDF    =Form("%s/RunByRunSummary%i/%s_FigureCollection.pdf", analysisOutput.Data(),nRunsUsed,listName.Data());

  for(Int_t ic = 0; ic<nCv; ic++)
  {
    if(ic==0 && nCv>1)
    {
      //..first pad
      cBad [ic] ->Print(Form("%s(",badCanvasName.Data()));
      cGood[ic] ->Print(Form("%s(",goodCanvasName.Data()));
      cDead[ic] ->Print(Form("%s(",deadCanvasName.Data()));
      cAmp [ic] ->Print(Form("%s(",ampCanvasName.Data()));
    }
    else if(ic==(nCv-1) && nCv>1)
    {
      //..last pad
      cBad [ic] ->Print(Form("%s)",badCanvasName.Data()));
      cGood[ic] ->Print(Form("%s)",goodCanvasName.Data()));
      cDead[ic] ->Print(Form("%s)",deadCanvasName.Data()));
      cAmp [ic] ->Print(Form("%s)",ampCanvasName.Data()));
    }
    else
    {
      //..all pads in between
      cBad [ic] ->Print(Form("%s",badCanvasName.Data()));
      cGood[ic] ->Print(Form("%s",goodCanvasName.Data()));
      cDead[ic] ->Print(Form("%s",deadCanvasName.Data()));
      cAmp [ic] ->Print(Form("%s",ampCanvasName.Data()));
    }
  }

  //..Add figures to the summary canvas
  cellSummaryCan   ->Print(Form("%s(",summaryPDF.Data()));
  cellSummaryCan2  ->Print(Form("%s",summaryPDF.Data()));
  cAmpSum          ->Print(Form("%s",summaryPDF.Data()));
  cAmpSum2D        ->Print(Form("%s",summaryPDF.Data()));
  cAmpSum2D4Blocks ->Print(Form("%s",summaryPDF.Data()));
  cFlagNew         ->Print(Form("%s",summaryPDF.Data()));
  cFlagDeadBadI    ->Print(Form("%s",summaryPDF.Data()));
  cFlagDeadBadII   ->Print(Form("%s",summaryPDF.Data()));
  cFlagSumI        ->Print(Form("%s",summaryPDF.Data()));
  cFlagSumII       ->Print(Form("%s",summaryPDF.Data()));
  cFlagSumCleanedI ->Print(Form("%s",summaryPDF.Data()));
  cFlagSumCleanedII->Print(Form("%s",summaryPDF.Data()));
  cFlagSumCompAllI ->Print(Form("%s",summaryPDF.Data()));
  cFlagSumCompAllII->Print(Form("%s",summaryPDF.Data()));
  cFlagSumCompCleanI->Print(Form("%s",summaryPDF.Data()));
  cFlagSumCompCleanII->Print(Form("%s)",summaryPDF.Data()));

}
//________________________________________________________________________
Bool_t GetBestPeriodSplitting(TString period = "LHC15o", Int_t train = 771,Int_t Nruns=105, Int_t noOfSplits=4)
{
  if(noOfSplits>5)
  {
    cout<<"Error: so far only implemented for 1-5 splits"<<endl;
    return 0;
  }
  gStyle->SetOptTitle(0);
  gStyle->SetOptStat(0);
  gStyle->SetPalette(55);  //standard is 1 //91 pastel
  gStyle->SetCanvasColor(10);
  TGaxis::SetMaxDigits(4);
  gStyle->SetPadTopMargin(0.07);//0.05
  gStyle->SetPadBottomMargin(0.18);//0.15
  gStyle->SetPadRightMargin(0.04);
  gStyle->SetPadLeftMargin(0.06);
  gStyle->SetFrameFillColor(10);
  gStyle->SetLabelSize(0.05,"X");
  gStyle->SetLabelSize(0.05,"Y");
  gStyle->SetTitleSize(5.0,"X");
  gStyle->SetTitleSize(5.0,"Y");
  gEnv->SetValue("Canvas.ShowEventStatus",1);  //shows the status bar in the canvas

  //.......................................
  //..Settings
  //.......................................
  //TString runList = "GloballyGood";
  //TString runList = "GloballyGood10";
  TString runList = "AllRuns";
  //TString runList = "AllRunsWO3";
  Int_t runNumber=265630;
  Bool_t weightByNevt=1;  //..weight the run period splitting by the number of events in the run


  //.......................................
  //..Get the Number of cells
  //.......................................
  AliCalorimeterUtils *fCaloUtils = new AliCalorimeterUtils();
  //..Create a dummy event for the CaloUtils
  AliAODEvent* aod = new AliAODEvent();
  fCaloUtils->SetRunNumber(runNumber);
  fCaloUtils->AccessGeometry(aod);
    Int_t noOfCells=fCaloUtils->GetEMCALGeometry()->GetNCells(); //..Very important number, never change after that point!

  //.......................................
  //..Get run-by-run analysis output
  //.......................................
  TString fileName = Form("AnalysisOutput/%s/Train_%i/RunByRunSummary%i/%s_Results.root",period.Data(),train,Nruns,runList.Data());

  cout<<"Open root file: "<<fileName<<endl;
  TFile *f = TFile::Open(fileName);
  if(!f)
  {
    cout<<"Couldn't open/find .root file: "<<fileName<<endl;
  }
  //..Get the histograms
  TH2F *hbadAndDeadvsRun = (TH2F*)f->Get("hFlag3vsRun_Comp");
  TH2F *hbadAndDeadvsRunw = (TH2F*)hbadAndDeadvsRun->Clone("hbadAndDeadvsRunWeight");
  if(!hbadAndDeadvsRun)cout<<"couldn't find histogram - hFlag3vsRun_Comp"<<endl;
  hbadAndDeadvsRun->GetXaxis()->UnZoom();
  hbadAndDeadvsRunw->GetXaxis()->UnZoom();

  TH1D* hEventsPerRun = (TH1D*)f->Get("nEventVsRun");
  if(!hEventsPerRun)cout<<"couldn't find histogram - nEventVsRun"<<endl;

  //TH1D *hEventsPerRunHI = (TH1D)hEventsPerRun->Clone("hEventsPerRunHI");
  // 2DPlot
  // flag vs run

  //.......................................
  //..Prepare the histogram for the splitting analysis
  //.......................................
  if(weightByNevt==1)
  {
    //..weight bad cells by numbers of events
    for(Int_t icell = 0; icell < noOfCells ; icell++)
    {
      for(Int_t iRun = 0; iRun < Nruns ; iRun++)
      {
        if(hbadAndDeadvsRun->GetBinContent(icell+1,iRun+1)==1)
        {
          hbadAndDeadvsRunw->SetBinContent(icell+1,iRun+1,hEventsPerRun->GetBinContent(iRun+1));
        }
      }
    }
  }
  //..Draw the histogram
  TCanvas *canEvt= new TCanvas("canEvt", "canEvt", 500, 500);
  canEvt->cd()->SetLeftMargin(0.08);
  SetHisto(hEventsPerRun,"Run","No of events",0);
  //hEventsPerRun->GetYaxis()->SetTitleOffset(0.35);
  hEventsPerRun->DrawCopy("hist"); //box

  //.......................................
  //..Start analysis for getting the best possible splitting
  //.......................................
  //..Analyze the histogram
  //..split into three blocks and see what performs better
  Int_t splitRun1=0;
  Int_t splitRun2=0;
  Int_t splitRun3=0;
  Int_t splitRun4=0;
  Int_t splitRun1w=0;
  Int_t splitRun2w=0;
  Int_t splitRun3w=0;
  Int_t splitRun4w=0;
  Int_t endBlock2;
  Int_t endBlock3;
  Int_t endBlock4;
  Double_t totalCellsBadRun=0;
  Double_t totalCellsBadEvt=0;
  Double_t nCellRunsBlock1=0;
  Double_t nCellRunsBlock2=0;
  Double_t nCellRunsBlock3=0;
  Double_t nCellRunsBlock4=0;
  Double_t nCellRunsBlock5=0;
  Double_t nCellEvtBlock1=0;
  Double_t nCellEvtBlock2=0;
  Double_t nCellEvtBlock3=0;
  Double_t nCellEvtBlock4=0;
  Double_t nCellEvtBlock5=0;

  Int_t sumRunBlockTotal=0;
  Int_t nBlockTotal=0;
  TH1D *hOneBigBlock = hbadAndDeadvsRunw->ProjectionX(TString::Format("%s_projSum",hbadAndDeadvsRunw->GetName()),0,Nruns);

  for(Int_t iRun=1; iRun<=Nruns; iRun++)
  {
    cout<<"Round "<<iRun<<" of "<<Nruns<<endl;

    if(noOfSplits<3)
    {
      endBlock2=Nruns-1;
    }
    else
    {
      endBlock2=iRun+1;
    }
    for(Int_t iRun2=endBlock2; iRun2<=Nruns; iRun2++)
    {
      if(noOfSplits<4)
      {
        endBlock3=Nruns-1;
      }
      else
      {
        endBlock3=iRun2+1;
      }

      for(Int_t iRun3=endBlock3; iRun3<=Nruns; iRun3++)
      {
        if(noOfSplits<5)
        {
          endBlock4=Nruns-1;
        }
        else
        {
          endBlock4=iRun3+1;
        }
        for(Int_t iRun4=endBlock4; iRun4<=Nruns; iRun4++)
        {
          hbadAndDeadvsRun ->GetXaxis()->UnZoom();
          hbadAndDeadvsRunw->GetXaxis()->UnZoom();
          TH1D *htmpCell1=nullptr;
          TH1D *htmpCell2=nullptr;
          TH1D *htmpCell3=nullptr;
          TH1D *htmpCell4=nullptr;
          TH1D *htmpCell5=nullptr;

          if(noOfSplits<3)iRun2=Nruns;
          if(noOfSplits<4)iRun3=Nruns;
          if(noOfSplits<5)iRun4=Nruns;

          if(weightByNevt==1)
          {
            htmpCell1 = hbadAndDeadvsRunw->ProjectionX(TString::Format("%s_proj1",hbadAndDeadvsRunw->GetName()),0,iRun);
            htmpCell2 = hbadAndDeadvsRunw->ProjectionX(TString::Format("%s_proj2",hbadAndDeadvsRunw->GetName()),iRun+1,iRun2);
            if(noOfSplits>2)htmpCell3 = hbadAndDeadvsRunw->ProjectionX(TString::Format("%s_proj3",hbadAndDeadvsRunw->GetName()),iRun2+1,iRun3);
            if(noOfSplits>3)htmpCell4 = hbadAndDeadvsRunw->ProjectionX(TString::Format("%s_proj4",hbadAndDeadvsRunw->GetName()),iRun3+1,iRun4);
            if(noOfSplits>4)htmpCell5 = hbadAndDeadvsRunw->ProjectionX(TString::Format("%s_proj5",hbadAndDeadvsRunw->GetName()),iRun4+1,Nruns);
          }
          else
          {
            htmpCell1 = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj1",hbadAndDeadvsRun->GetName()),0,iRun);
            htmpCell2 = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj2",hbadAndDeadvsRun->GetName()),iRun+1,iRun2);
            if(noOfSplits>2)htmpCell3 = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj3",hbadAndDeadvsRun->GetName()),iRun2+1,iRun3);
            if(noOfSplits>3)htmpCell4 = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj4",hbadAndDeadvsRun->GetName()),iRun3+1,iRun4);
            if(noOfSplits>4)htmpCell5 = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj5",hbadAndDeadvsRun->GetName()),iRun4+1,Nruns);
          }

          Double_t nEvtBlock1 = hEventsPerRun->Integral(0,iRun);
          Double_t nEvtBlock2 = hEventsPerRun->Integral(iRun+1,iRun2);
          Double_t nEvtBlock3 = hEventsPerRun->Integral(iRun2+1,iRun3);
          Double_t nEvtBlock4 = hEventsPerRun->Integral(iRun3+1,iRun4);
          Double_t nEvtBlock5 = hEventsPerRun->Integral(iRun4+1,Nruns);

          sumRunBlockTotal=0;
          Int_t sumRunBlock1=0;
          Int_t sumRunBlock2=0;
          Int_t sumRunBlock3=0;
          Int_t sumRunBlock4=0;
          Int_t sumRunBlock5=0;
          Int_t nBlock1=0;
          Int_t nBlock2=0;
          Int_t nBlock3=0;
          Int_t nBlock4=0;
          Int_t nBlock5=0;
          nBlockTotal=0;

          for(Int_t icell = 0; icell < htmpCell1->GetNbinsX(); icell++)
          {
            sumRunBlockTotal             = hOneBigBlock->GetBinContent(icell+1);
            sumRunBlock1                 = htmpCell1->GetBinContent(icell+1);
            sumRunBlock2                 = htmpCell2->GetBinContent(icell+1);
            if(noOfSplits>2)sumRunBlock3 = htmpCell3->GetBinContent(icell+1);
            if(noOfSplits>3)sumRunBlock4 = htmpCell4->GetBinContent(icell+1);
            if(noOfSplits>4)sumRunBlock5 = htmpCell5->GetBinContent(icell+1);

            if(sumRunBlock1>0)nBlock1++;
            if(sumRunBlock2>0)nBlock2++;
            if(sumRunBlock3>0)nBlock3++;
            if(sumRunBlock4>0)nBlock4++;
            if(sumRunBlock5>0)nBlock5++;
            if(sumRunBlockTotal>0)nBlockTotal++;
          }
          //..bad cells in block * N_runs in Block
          nCellRunsBlock1=nBlock1*iRun;
          nCellRunsBlock2=nBlock2*(iRun2-iRun+1);
          nCellRunsBlock3=nBlock3*(iRun3-iRun2+1);  //..is 0 for 2block splitting
          nCellRunsBlock4=nBlock4*(iRun4-iRun3+1);  //..is 0 for 3block splitting
          nCellRunsBlock5=nBlock5*(Nruns-iRun4+1);  //..is 0 for 4block splitting

          //..bad cells in block * nEvents in block
          nCellEvtBlock1 =nBlock1*nEvtBlock1;
          nCellEvtBlock2 =nBlock2*nEvtBlock2;
          nCellEvtBlock3 =nBlock3*nEvtBlock3;
          nCellEvtBlock4 =nBlock4*nEvtBlock4;
          nCellEvtBlock5 =nBlock5*nEvtBlock5;

          //..not weighted by nuber of events in run
          if(totalCellsBadRun==0 || (nCellRunsBlock1+nCellRunsBlock2+nCellRunsBlock3+nCellRunsBlock4+nCellRunsBlock5)<totalCellsBadRun)
          {
            totalCellsBadRun=nCellRunsBlock1+nCellRunsBlock2+nCellRunsBlock3+nCellRunsBlock4+nCellRunsBlock5;
            splitRun1=iRun;
            splitRun2=iRun2;
            splitRun3=iRun3;
            splitRun4=iRun4;
          }
          //..weighted by nuber of events in run
          if(totalCellsBadEvt==0 || (nCellEvtBlock1+nCellEvtBlock2+nCellEvtBlock3+nCellEvtBlock4+nCellEvtBlock5)<totalCellsBadEvt)
          {
            totalCellsBadEvt=nCellEvtBlock1+nCellEvtBlock2+nCellEvtBlock3+nCellEvtBlock4+nCellEvtBlock5;
            splitRun1w=iRun;
            splitRun2w=iRun2;
            splitRun3w=iRun3;
            splitRun4w=iRun4;
          }
        }//..5 Block splitting
      }//..4 Block Splitting
    }//..3 Block Spitting
  }//..2 Block Splitting
  hbadAndDeadvsRun->GetXaxis()->UnZoom();
  TH1D *htmpCell1p = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj1",hbadAndDeadvsRun->GetName()),0,splitRun1);
  TH1D *htmpCell2p = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj2",hbadAndDeadvsRun->GetName()),splitRun1+1,splitRun2);
  TH1D *htmpCell3p = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj3",hbadAndDeadvsRun->GetName()),splitRun2+1,splitRun3);
  TH1D *htmpCell4p = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj4",hbadAndDeadvsRun->GetName()),splitRun3+1,splitRun4);
  TH1D *htmpCell5p = hbadAndDeadvsRun->ProjectionX(TString::Format("%s_proj5",hbadAndDeadvsRun->GetName()),splitRun4+1,Nruns);

  TCanvas *canSplit= new TCanvas("canSplit", "Split compressed cell ID's", 1600, 500);
  canSplit->Divide(2,2);
  if(noOfSplits>4)canSplit->Divide(2,3);
  canSplit->cd(1);
  SetHisto(htmpCell1p,"","nruns bad",1);
  htmpCell1p->GetYaxis()->SetTitleOffset(0.35);
  htmpCell1p->DrawCopy("hist");
  canSplit->cd(2);
  SetHisto(htmpCell2p,"","nruns bad",1);
  htmpCell2p->GetYaxis()->SetTitleOffset(0.35);
  htmpCell2p->DrawCopy("hist");
  canSplit->cd(3);
  SetHisto(htmpCell3p,"","nruns bad",1);
  htmpCell3p->GetYaxis()->SetTitleOffset(0.35);
  htmpCell3p->DrawCopy("hist");
  canSplit->cd(4);
  SetHisto(htmpCell4p,"","nruns bad",1);
  htmpCell4p->GetYaxis()->SetTitleOffset(0.35);
  htmpCell4p->DrawCopy("hist");
  if(noOfSplits>4)
  {
    canSplit->cd(5);
    SetHisto(htmpCell5p,"","nruns bad",1);
    htmpCell5p->GetYaxis()->SetTitleOffset(0.35);
    htmpCell5p->DrawCopy("hist");
  }

  //..Draw the split lines into the canvas
  TCanvas *can1= new TCanvas("compressedIDs1", "compressed cell ID's A)", 1600, 1000);
  can1->cd()->SetLeftMargin(0.05);
  can1->cd()->SetRightMargin(0.05);
  can1->cd()->SetBottomMargin(0.06);
  can1->cd()->SetTopMargin(0.02);
  SetHisto(hbadAndDeadvsRun,"","Run in List",1);
  hbadAndDeadvsRun->GetYaxis()->SetTitleOffset(0.5);
  static Double_t rangeUp=nBlockTotal;
  hbadAndDeadvsRun->GetXaxis()->SetRangeUser(0,rangeUp);  //..Zoom into the actual range of bad cells
  hbadAndDeadvsRun->DrawCopy("colz"); //box
  PlotHorLineRange(splitRun1,0,nBlockTotal,0);
  PlotHorLineRange(splitRun2,0,nBlockTotal,0);
  if(noOfSplits>3)PlotHorLineRange(splitRun3,0,nBlockTotal,0);
  if(noOfSplits>4)PlotHorLineRange(splitRun4,0,nBlockTotal,0);

  TCanvas *can2= new TCanvas("compressedIDs2", "compressed cell ID's B)", 1600, 1000);
  can2->cd()->SetLeftMargin(0.05);
  can2->cd()->SetRightMargin(0.05);
  can2->cd()->SetBottomMargin(0.06);
  can2->cd()->SetTopMargin(0.02);
  SetHisto(hbadAndDeadvsRunw,"","Run in List",1);
  hbadAndDeadvsRunw->GetYaxis()->SetTitleOffset(0.5);
  hbadAndDeadvsRunw->GetXaxis()->SetRangeUser(0,nBlockTotal);  //..Zoom into the actual range of bad cells (!! to make that work for some reason you have to run it twice in a row???)
  hbadAndDeadvsRunw->DrawCopy("colz");
  PlotHorLineRange(splitRun1w,0,nBlockTotal,0);
  PlotHorLineRange(splitRun2w,0,nBlockTotal,0);
  if(noOfSplits>3)PlotHorLineRange(splitRun3w,0,nBlockTotal,0);
  if(noOfSplits>4)PlotHorLineRange(splitRun4w,0,nBlockTotal,0);


  cout<<"Best results are achieved by splitting into:"<<endl;
  cout<<"- - - - - - - - GENERAL - - - - - - - - -"<<endl;
  cout<<"Number of runs: "<<Nruns<<endl;
  cout<<"Number events: "<<hEventsPerRun->Integral(0,Nruns)<<endl;
  cout<<"Bad cells if masked as 1 block: "<<nBlockTotal<<endl;
  cout<<"Bad cells * runs: "<<nBlockTotal*Nruns<<endl;
  cout<<"Bad cells * evt: "<<nBlockTotal*hEventsPerRun->Integral(0,Nruns)<<endl;
  /*
  cout<<"- - - - - - - - UNWEIGHTED Splitting - - - - - - - - -"<<endl;
  cout<<"Run Block 1: 0-"<<splitRun1<<endl;
  cout<<"Run Block 2: "<<splitRun1+1<<"-"<<splitRun2<<endl;
  if(noOfSplits>2)cout<<"Run Block 3: "<<splitRun2+1<<"-"<<splitRun3<<endl;
  if(noOfSplits>3)cout<<"Run Block 4: "<<splitRun3+1<<"-"<<splitRun4<<endl;
  if(noOfSplits>4)cout<<"Run Block 5: "<<splitRun4+1<<"-"<<Nruns<<endl;
  cout<<"Number of Bad cells*runs   ="<<totalCellsBadRun<<endl;
  cout<<"Number of effective Bad cells ="<<totalCellsBadRun/Nruns<<endl;
  */
  cout<<"- - - - - - - - WEIGHTED Splitting - - - - - - - - -"<<endl;
  cout<<"Run Block 1: 0-"<<splitRun1w<<endl;
  cout<<"Run Block 2: "<<splitRun1w+1<<"-"<<splitRun2w<<endl;
  if(noOfSplits>2)cout<<"Run Block 3: "<<splitRun2w+1<<"-"<<splitRun3w<<endl;
  if(noOfSplits>3)cout<<"Run Block 4: "<<splitRun3w+1<<"-"<<splitRun4w<<endl;
  if(noOfSplits>4)cout<<"Run Block 5: "<<splitRun4w+1<<"-"<<Nruns<<endl;
  cout<<"Number of Bad cells*events ="<<totalCellsBadEvt<<endl;
  cout<<"Number of effective Bad cells ="<<totalCellsBadEvt/hEventsPerRun->Integral(0,Nruns)<<endl;

  cout<<" events block1 : "<<hEventsPerRun->Integral(0,splitRun1w)<<endl;
  cout<<" events block2 : "<<hEventsPerRun->Integral(splitRun1w+1,splitRun2w)<<endl;
  if(noOfSplits>2)cout<<" events block3 : "<<hEventsPerRun->Integral(splitRun2w+1,splitRun3w)<<endl;
  if(noOfSplits>3)cout<<" events block4 : "<<hEventsPerRun->Integral(splitRun3w+1,splitRun4w)<<endl;
  if(noOfSplits>4)cout<<" events block5 : "<<hEventsPerRun->Integral(splitRun4w+1,Nruns)<<endl;
  cout<<"- - - - - - - - Improvement of WEIGHTED Splitting - - - - - - - - -"<<endl;
  cout<<"Improvement of Bad cells * evt by "<<(nBlockTotal*hEventsPerRun->Integral(0,Nruns)-totalCellsBadEvt)*100/(nBlockTotal*hEventsPerRun->Integral(0,Nruns))<<"%"<<endl;


  //..Save as .gif to put on the TWiki page
//  fileName = Form("AnalysisOutput/%s/Train_%i/RunByRunSummary%i/SplittingResults_%s.gif",period.Data(),train,Nruns,period.Data());
  fileName = Form("AnalysisOutput/%s/Train_%i/RunByRunSummary%i/SplittingResults_%s_%iBlocks.gif",period.Data(),train,Nruns,period.Data(),noOfSplits);
  can2->SaveAs(fileName);
  return 1;
}
//
// Compares masked amplidudes from two different versions of masking cells
// Version A sum all runs in a certrain range up and analyse the channels all together
// Version B do a run-by-run analsis and check wheather channels are masked in almost all runs and maks them then entirely
// --> For a method to compare two versions of the BC map see Compare2Blocks() in helperMacrosBC.C
//________________________________________________________________________
void CompareTwoBCstrategies(TString period="LHC15n",Int_t trainNo=603,Int_t version=5)
{
  //..this was originally used or LHC15o
  gROOT->ProcessLine("gErrorIgnoreLevel = kWarning;"); //..to supress a lot of standard output
  gROOT->SetBatch(1); //..Prevent ROOT from stealing focus when plotting
  gStyle->SetOptStat(0); //..Do not plot stat boxes
    gStyle->SetPadLeftMargin(0.13);
    gStyle->SetPadRightMargin(0.1);
    gStyle->SetPadBottomMargin(0.13);
    gStyle->SetPadTopMargin(0.02);

    Int_t noOfCells=17674; //
    const Int_t nRunsUsed=105;
    //const Int_t nRunsUsed=10;
    //..select runs after which a new bad map is built
    Int_t splitRuns1=34;  //run bock is inclusive of this run
    Int_t splitRuns2=66;  //run bock is inclusive of this run
    Int_t splitRuns3=74;  //run bock is inclusive of this run
    Int_t nBadCellMerged[4]={noOfCells,noOfCells,noOfCells,noOfCells};
    Int_t nBadCellRbR[4]   ={noOfCells,noOfCells,noOfCells,noOfCells};

    //..............................................
    //..manually disable cells
    std::vector<Int_t> badcellsBlock1;
    std::vector<Int_t> badcellsBlock2;
    std::vector<Int_t> badcellsBlock3;
    std::vector<Int_t> badcellsBlock4;
 /*
    badcellsBlock1.insert(badcellsBlock1.end(),{14655,14622,14640,14728,14726});

    badcellsBlock2.insert(badcellsBlock2.end(),{6644,6655,10140,12036,12037,12038,12039,12040,12041,12926,13067,13066,13125});
    badcellsBlock2.insert(badcellsBlock2.end(),{13133,13483,13971,13978,14116,14118,14122,14411,14593,14599,14600,14606,14699});
    badcellsBlock2.insert(badcellsBlock2.end(),{14728,15158,15462,16309});

    badcellsBlock3.insert(badcellsBlock3.end(),{292,294,297,301,13483, 13975, 14116, 14320, 14326});

    badcellsBlock4.insert(badcellsBlock4.end(),{3472,3473,3474,3475,3476,3477,3478,3479,3480,3481,3482,3483,3484,3485,3486,3487});
    badcellsBlock4.insert(badcellsBlock4.end(),{3520,3521,3522,3523,3524,3525,3526,3527,3528,3529,3530,3531,3532,3533,3534,3535});
    badcellsBlock4.insert(badcellsBlock4.end(),{3665,3666,3667,3668,3669,3670,3671,3672,3673,3674,3675,3676,3677,3678,3679});
    badcellsBlock4.insert(badcellsBlock4.end(),{3712,3713,3714,3715,3716,3717,3718,3719,3720,3721,3722,3723,3724,3725,3726,3727});
    badcellsBlock4.insert(badcellsBlock4.end(),{8848,8849,8850,8851,8852,8853,8854,8855,8856,8857,8858,8859,8860,8861,8862,8863});
    badcellsBlock4.insert(badcellsBlock4.end(),{8896,8897,8898,8899,8900,8901,8902,8903,8904,8905,89106,8907,8908,8909,8910});
    badcellsBlock4.insert(badcellsBlock4.end(),{11906,11907,11908,11909,11910,11911,11912,11913,11914,11915,11916,11917,11918,11919});
    badcellsBlock4.insert(badcellsBlock4.end(),{12034,12035,12036,12037,12038,12039,12040,12041,12042,12043,12044,12045,13469,13483,16427,16430});
*/
    std::vector<Int_t> vOnlyMaskedInMergedA;
  std::vector<Int_t> vOnlyMaskedInRunbRunA;
  std::vector<Int_t> vOnlyMaskedInMergedB;
  std::vector<Int_t> vOnlyMaskedInRunbRunB;
  std::vector<Int_t> vOnlyMaskedInMergedC;
  std::vector<Int_t> vOnlyMaskedInRunbRunC;
  std::vector<Int_t> vOnlyMaskedInMergedD;
  std::vector<Int_t> vOnlyMaskedInRunbRunD;

  cout<<"run splitting: "<<endl;
  cout<<0<<"-"<<splitRuns1<<" -> "<<splitRuns1<<" runs"<<endl;
  cout<<splitRuns1+1<<"-"<<splitRuns2<<" -> "<<splitRuns2-splitRuns1<<" runs"<<endl;
  cout<<splitRuns2+1<<"-"<<splitRuns3<<" -> "<<splitRuns3-splitRuns2<<" runs"<<endl;
  cout<<splitRuns3+1<<"-"<<nRunsUsed <<" -> "<<nRunsUsed-splitRuns3 <<" runs"<<endl;

  //......................................................
  //..Get the .root file from analyzing runs as 1 block together
  //......................................................
  cout<<"**Open files with merged runlist analysis: "<<endl;
  TString pathA        = Form("./AnalysisOutput/%s/Train_%i/Version%i",period.Data(),trainNo,version);
  TString rootFileNameA= Form("INT7_Histograms_V%i.root",version);
  TFile* outputRootA   = TFile::Open(Form("%s/%s",pathA.Data(),rootFileNameA.Data()));
  if(!outputRootA)cout<<"File "<<outputRootA->GetName()<<" does not exist"<<endl;
  else cout<<"file A: "<<outputRootA->GetName()<<endl;
  TString pathB        = Form("./AnalysisOutput/%s/Train_%i/Version%i",period.Data(),trainNo,version+1);
  TString rootFileNameB= Form("INT7_Histograms_V%i.root",version+1);
  TFile* outputRootB   = TFile::Open(Form("%s/%s",pathB.Data(),rootFileNameB.Data()));
  if(!outputRootB)cout<<"File "<<outputRootB->GetName()<<" does not exist"<<endl;
  else cout<<"file B: "<<outputRootB->GetName()<<endl;
  TString pathC        = Form("./AnalysisOutput/%s/Train_%i/Version%i",period.Data(),trainNo,version+2);
  TString rootFileNameC= Form("INT7_Histograms_V%i.root",version+2);
  TFile* outputRootC   = TFile::Open(Form("%s/%s",pathC.Data(),rootFileNameC.Data()));
  if(!outputRootC)cout<<"File "<<outputRootC->GetName()<<" does not exist"<<endl;
  else cout<<"file C: "<<outputRootC->GetName()<<endl;
  TString pathD        = Form("./AnalysisOutput/%s/Train_%i/Version%i",period.Data(),trainNo,version+3);
  TString rootFileNameD= Form("INT7_Histograms_V%i.root",version+3);
  TFile* outputRootD   = TFile::Open(Form("%s/%s",pathD.Data(),rootFileNameD.Data()));
  if(!outputRootD)cout<<"File "<<outputRootD->GetName()<<" does not exist"<<endl;
  else cout<<"file D: "<<outputRootD->GetName()<<endl;

  //..get the necessary histograms
  TH2F* hCellAmplitudeA    =(TH2F*)outputRootA->Get("hCellAmplitude");
  TH1F* hnEventsA          =(TH1F*)outputRootA->Get("hNEvents");
  hCellAmplitudeA->Scale(hnEventsA->GetBinContent(1));
  TH2F* hCellAmplitudeBlockMaskA=(TH2F*)hCellAmplitudeA->Clone("hCellAmplitudeMask");
  TH1F* hCellFlagA         =(TH1F*)outputRootA->Get("fhCellFlag");

  TH2F* hCellAmplitudeB    =(TH2F*)outputRootB->Get("hCellAmplitude");
  TH1F* hnEventsB          =(TH1F*)outputRootB->Get("hNEvents");
  hCellAmplitudeB->Scale(hnEventsB->GetBinContent(1));
  TH2F* hCellAmplitudeBlockMaskB=(TH2F*)hCellAmplitudeB->Clone("hCellAmplitudeMask");
  TH1F* hCellFlagB         =(TH1F*)outputRootB->Get("fhCellFlag");

  TH2F* hCellAmplitudeC    =(TH2F*)outputRootC->Get("hCellAmplitude");
  TH1F* hnEventsC          =(TH1F*)outputRootC->Get("hNEvents");
  hCellAmplitudeC->Scale(hnEventsC->GetBinContent(1));
  TH2F* hCellAmplitudeBlockMaskC=(TH2F*)hCellAmplitudeC->Clone("hCellAmplitudeMask");
  TH1F* hCellFlagC         =(TH1F*)outputRootC->Get("fhCellFlag");

  TH2F* hCellAmplitudeD    =(TH2F*)outputRootD->Get("hCellAmplitude");
  TH1F* hnEventsD          =(TH1F*)outputRootD->Get("hNEvents");
  hCellAmplitudeD->Scale(hnEventsD->GetBinContent(1));
  TH2F* hCellAmplitudeBlockMaskD=(TH2F*)hCellAmplitudeD->Clone("hCellAmplitudeMask");
  TH1F* hCellFlagD         =(TH1F*)outputRootD->Get("fhCellFlag");

  //......................................................
  //..Get the .root file with run-by-run bad channel mask
  //......................................................
  cout<<"**Open file with masking based on run-by-run info within a block: "<<endl;
  TString pathRbR        = Form("./AnalysisOutput/%s/Train_%i/RunByRunSummary105",period.Data(),trainNo);
  TString rootFileNameRbR = Form("GloballyGood_Results.root");
  TFile* outputRootRbR    = TFile::Open(Form("%s/%s",pathRbR .Data(),rootFileNameRbR .Data()));
  if(!outputRootRbR )cout<<"File "<<outputRootRbR ->GetName()<<" does not exist"<<endl;
  else cout<<"file R-b-R: "<<outputRootRbR ->GetName()<<endl;

  TH2F* BadCellsVsRun =(TH2F*)outputRootRbR ->Get("hFlag3vsRun"); //..that is the original bad map - cleaned and filled up for channels with>80% bad runs
  TH1F* hEvtVsRun     =(TH1F*)outputRootRbR ->Get("nEventVsRun");
  TH2F* AmpVsID[nRunsUsed];
    for(Int_t nRun=0;nRun<nRunsUsed;nRun++)
    {
    AmpVsID[nRun] = (TH2F*)outputRootRbR ->Get(Form("hCellAmplitudeRun%i",nRun));
    AmpVsID[nRun]->Scale(hEvtVsRun->GetBinContent(nRun+1));
    }
    //..build the 3/4 blocks
  TH2F* AmpVsIDrBrBlockA = (TH2F*)AmpVsID[0]->Clone("AmpVsIDrBrBlockA");
  TH2F* AmpVsIDrBrBlockB = (TH2F*)AmpVsID[0]->Clone("AmpVsIDrBrBlockB");
  TH2F* AmpVsIDrBrBlockC = (TH2F*)AmpVsID[0]->Clone("AmpVsIDrBrBlockC");
  TH2F* AmpVsIDrBrBlockD = (TH2F*)AmpVsID[0]->Clone("AmpVsIDrBrBlockD");

  //..use only the histogram properties not the content
  AmpVsIDrBrBlockA->Reset();
  AmpVsIDrBrBlockB->Reset();
  AmpVsIDrBrBlockC->Reset();
  AmpVsIDrBrBlockD->Reset();

  for(Int_t nRun=0;nRun<nRunsUsed;nRun++)
    {
    if(nRun<=splitRuns1)                   AmpVsIDrBrBlockA->Add(AmpVsID[nRun]);
    if(nRun>splitRuns1 && nRun<=splitRuns2)AmpVsIDrBrBlockB->Add(AmpVsID[nRun]);
    if(nRun>splitRuns2 && nRun<=splitRuns3)AmpVsIDrBrBlockC->Add(AmpVsID[nRun]);
    if(nRun>splitRuns3)                    AmpVsIDrBrBlockD->Add(AmpVsID[nRun]);
    }

  //--------------------------------------------------
  //..unfortunatley this part is necessary. The amplidude vs. ID figures
  //..are scaled at the end of the bad channel analysis and alathough
  //..we can undo the scaling here by multiplying with nEvents it does
  //..not look the same. It does when one comments the scaling in the bad
  //..channel analysis. So to avaoid intoducing artificial differences
  //..we use the exact same amplidute vs. ID figure.
  AmpVsIDrBrBlockA->Reset();
  AmpVsIDrBrBlockA=(TH2F*)hCellAmplitudeA->Clone("AmpVsIDrBrBlockA");
  AmpVsIDrBrBlockB->Reset();
  AmpVsIDrBrBlockB=(TH2F*)hCellAmplitudeB->Clone("AmpVsIDrBrBlockB");
  AmpVsIDrBrBlockC->Reset();
  AmpVsIDrBrBlockC=(TH2F*)hCellAmplitudeC->Clone("AmpVsIDrBrBlockC");
  AmpVsIDrBrBlockD->Reset();
  AmpVsIDrBrBlockD=(TH2F*)hCellAmplitudeD->Clone("AmpVsIDrBrBlockD");
  //--------------------------------------------------

  //......................................................
  //..mask the bad cells according to both versions
  //......................................................
  Int_t maskA=0;
  Int_t maskB=0;
  Int_t maskC=0;
  Int_t maskD=0;

  for(Int_t ic = 0; ic < noOfCells; ic++)
  {
    //......................................................
    //..Part A - analyzed as one merged runblock
    //......................................................
    maskA=0;
    maskB=0;
    maskC=0;
    maskD=0;
    maskA=IsCellMaskedByHand(ic,badcellsBlock1);
    maskB=IsCellMaskedByHand(ic,badcellsBlock2);
    maskC=IsCellMaskedByHand(ic,badcellsBlock3);
    maskD=IsCellMaskedByHand(ic,badcellsBlock4);

    //..mask the bad cells
    for (Int_t amp = 1; amp <= hCellAmplitudeBlockMaskA->GetNbinsX(); amp++)
    {
      if(hCellFlagA->GetBinContent(ic+1)>0 || maskA==1)
      {
        hCellAmplitudeBlockMaskA->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellMerged[0]--;
      }
      if(hCellFlagB->GetBinContent(ic+1)>0 || maskB==1)
      {
        hCellAmplitudeBlockMaskB->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellMerged[1]--;
      }
      if(hCellFlagC->GetBinContent(ic+1)>0 || maskC==1)
      {
        hCellAmplitudeBlockMaskC->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellMerged[2]--;
      }
      if(hCellFlagD->GetBinContent(ic+1)>0 || maskD==1)
      {
        hCellAmplitudeBlockMaskD->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellMerged[3]--;
      }
    }

    //......................................................
    //..Part B - analyzed run-by-run, corrected and masked in block
    //......................................................

    TH1D *htmpCellAllRuns     =BadCellsVsRun->ProjectionY(TString::Format("hIDProj_cell%d", ic), ic+1, ic+1);
    Double_t integralBlock1   =htmpCellAllRuns->Integral(0,splitRuns1);
    Double_t integralBlock2   =htmpCellAllRuns->Integral(splitRuns1+1,splitRuns2);
    Double_t integralBlock3   =htmpCellAllRuns->Integral(splitRuns2+1,splitRuns3);
    Double_t integralBlock4   =htmpCellAllRuns->Integral(splitRuns3+1,nRunsUsed);

    //..manually mask cells
    integralBlock1+=IsCellMaskedByHand(ic,badcellsBlock1);
    integralBlock2+=IsCellMaskedByHand(ic,badcellsBlock2);
    integralBlock3+=IsCellMaskedByHand(ic,badcellsBlock3);
    integralBlock4+=IsCellMaskedByHand(ic,badcellsBlock4);

    for(Int_t amp = 1; amp <= AmpVsIDrBrBlockA->GetNbinsX(); amp++)
    {
      if(integralBlock1>0)
      {
        AmpVsIDrBrBlockA->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellRbR[0]--;
      }
      if(integralBlock2>0)
      {
        AmpVsIDrBrBlockB->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellRbR[1]--;
      }
      if(integralBlock3>0)
      {
        AmpVsIDrBrBlockC->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellRbR[2]--;
      }
      if(integralBlock4>0)
      {
        AmpVsIDrBrBlockD->SetBinContent(amp,ic+1,0);
        if(amp==1)nBadCellRbR[3]--;
      }
    }

    //......................................................
    //..Compare the different channels that are marked in the two versions
    //......................................................
    if(!IsCellMaskedByHand(ic,badcellsBlock1))
    {
      if(hCellFlagA->GetBinContent(ic+1)>0  && integralBlock1==0)vOnlyMaskedInMergedA.push_back(ic);
      if(hCellFlagA->GetBinContent(ic+1)==0 && integralBlock1>0) vOnlyMaskedInRunbRunA.push_back(ic);
    }
    if(!IsCellMaskedByHand(ic,badcellsBlock2))
    {
      if(hCellFlagB->GetBinContent(ic+1)>0  && integralBlock2==0)vOnlyMaskedInMergedB.push_back(ic);
      if(hCellFlagB->GetBinContent(ic+1)==0 && integralBlock2>0) vOnlyMaskedInRunbRunB.push_back(ic);
    }
    if(!IsCellMaskedByHand(ic,badcellsBlock3))
    {
      if(hCellFlagC->GetBinContent(ic+1)>0  && integralBlock3==0)vOnlyMaskedInMergedC.push_back(ic);
      if(hCellFlagC->GetBinContent(ic+1)==0 && integralBlock3>0) vOnlyMaskedInRunbRunC.push_back(ic);
    }
    if(!IsCellMaskedByHand(ic,badcellsBlock4))
    {
      if(hCellFlagD->GetBinContent(ic+1)>0  && integralBlock4==0)vOnlyMaskedInMergedD.push_back(ic);
      if(hCellFlagD->GetBinContent(ic+1)==0 && integralBlock4>0) vOnlyMaskedInRunbRunD.push_back(ic);
    }

  }
  //..merged runblock
  TH1* projMaskedCellsA = hCellAmplitudeBlockMaskA->ProjectionX("MaskedCellsMergedBlockA");
  TH1* projMaskedCellsB = hCellAmplitudeBlockMaskB->ProjectionX("MaskedCellsMergedBlockB");
  TH1* projMaskedCellsC = hCellAmplitudeBlockMaskC->ProjectionX("MaskedCellsMergedBlockC");
  TH1* projMaskedCellsD = hCellAmplitudeBlockMaskD->ProjectionX("MaskedCellsMergedBlockD");

  //..RbR mask
  TH1* projMaskedCellsBlockA = AmpVsIDrBrBlockA->ProjectionX("MaskedCellsRbRBlockA");
  TH1* projMaskedCellsBlockB = AmpVsIDrBrBlockB->ProjectionX("MaskedCellsRbRBlockB");
  TH1* projMaskedCellsBlockC = AmpVsIDrBrBlockC->ProjectionX("MaskedCellsRbRBlockC");
  TH1* projMaskedCellsBlockD = AmpVsIDrBrBlockD->ProjectionX("MaskedCellsRbRBlockD");

  //......................................................
  //..Plot results
  //......................................................
  TCanvas* C1 = new TCanvas("-1-","Bock A and B",900,900);
  C1->Divide(2,2);
  C1->cd(1)->SetLogy();
    SetHisto(projMaskedCellsA,"","hits/event",0);
  projMaskedCellsA->DrawCopy("hist");
  projMaskedCellsBlockA->SetLineColor(8);
  projMaskedCellsBlockA->DrawCopy("same hist");
  C1->cd(2);
  projMaskedCellsA->Divide(projMaskedCellsBlockA);
    SetHisto(projMaskedCellsA,"","Merged block/Run-by-Run block",0);
  projMaskedCellsA->DrawCopy("hist");
  projMaskedCellsA->Multiply(projMaskedCellsBlockA);

  C1->cd(3)->SetLogy();
    SetHisto(projMaskedCellsB,"","hits/event",0);
  projMaskedCellsB->DrawCopy("hist");
  projMaskedCellsBlockB->SetLineColor(8);
  projMaskedCellsBlockB->DrawCopy("same hist");
  C1->cd(4);
  projMaskedCellsB->Divide(projMaskedCellsBlockB);
    SetHisto(projMaskedCellsB,"","Merged block/Run-by-Run block",0);
  projMaskedCellsB->DrawCopy("hist");
  projMaskedCellsB->Multiply(projMaskedCellsBlockB);

  TCanvas* C2 = new TCanvas("-2-","Block C and D",900,900);
  C2->Divide(2,2);
  C2->cd(1)->SetLogy();
    SetHisto(projMaskedCellsC,"","hits/event",0);
  projMaskedCellsC->DrawCopy("hist");
  projMaskedCellsBlockC->SetLineColor(8);
  projMaskedCellsBlockC->DrawCopy("same hist");
  C2->cd(2);
  projMaskedCellsC->Divide(projMaskedCellsBlockC);
    SetHisto(projMaskedCellsC,"","Merged block/Run-by-Run block",0);
  projMaskedCellsC->DrawCopy("hist");
  projMaskedCellsC->Multiply(projMaskedCellsBlockC);

  C2->cd(3)->SetLogy();
    SetHisto(projMaskedCellsD,"","hits/event",0);
  projMaskedCellsD->DrawCopy("hist");
  projMaskedCellsBlockD->SetLineColor(8);
  projMaskedCellsBlockD->DrawCopy("same hist");
  C2->cd(4);
  projMaskedCellsD->Divide(projMaskedCellsBlockD);
    SetHisto(projMaskedCellsD,"","Merged block/Run-by-Run block",0);
  projMaskedCellsD->DrawCopy("hist");
  projMaskedCellsD->Multiply(projMaskedCellsBlockD);

  TCanvas* C3 = new TCanvas("-3-","Merge A, B, C, and D",900,900);
  C3->Divide(2,2);
  C3->cd(1)->SetLogz();
    SetHisto(hCellAmplitudeBlockMaskA,"","cell ID",0);
    hCellAmplitudeBlockMaskA->DrawCopy("colz");
  C3->cd(2)->SetLogz();
    SetHisto(hCellAmplitudeBlockMaskB,"","cell ID",0);
    hCellAmplitudeBlockMaskB->DrawCopy("colz");
  C3->cd(3)->SetLogz();
    SetHisto(hCellAmplitudeBlockMaskC,"","cell ID",0);
    hCellAmplitudeBlockMaskC->DrawCopy("colz");
  C3->cd(4)->SetLogz();
    SetHisto(hCellAmplitudeBlockMaskD,"","cell ID",0);
    hCellAmplitudeBlockMaskD->DrawCopy("colz");

  TCanvas* C4 = new TCanvas("-4-","Run-by-Run A, B, C, and D",900,900);
  C4->Divide(2,2);
  C4->cd(1)->SetLogz();
    SetHisto(AmpVsIDrBrBlockA,"","cell ID",0);
    AmpVsIDrBrBlockA->DrawCopy("colz");
  C4->cd(2)->SetLogz();
    SetHisto(AmpVsIDrBrBlockB,"","cell ID",0);
    AmpVsIDrBrBlockB->DrawCopy("colz");
  C4->cd(3)->SetLogz();
    SetHisto(AmpVsIDrBrBlockC,"","cell ID",0);
    AmpVsIDrBrBlockC->DrawCopy("colz");
  C4->cd(4)->SetLogz();
    SetHisto(AmpVsIDrBrBlockD,"","cell ID",0);
    AmpVsIDrBrBlockD->DrawCopy("colz");

  //......................................................
  //..Print out compared cells and plot the spectra
  //......................................................
  projMaskedCellsA->Scale(1.0/nBadCellMerged[0]);
  projMaskedCellsB->Scale(1.0/nBadCellMerged[1]);
  projMaskedCellsC->Scale(1.0/nBadCellMerged[2]);
  projMaskedCellsD->Scale(1.0/nBadCellMerged[3]);
  projMaskedCellsBlockA->Scale(1.0/nBadCellRbR[0]);
  projMaskedCellsBlockB->Scale(1.0/nBadCellRbR[1]);
  projMaskedCellsBlockC->Scale(1.0/nBadCellRbR[2]);
  projMaskedCellsBlockD->Scale(1.0/nBadCellRbR[3]);

  cout<<0<<"-"<<splitRuns1<<" -> "<<splitRuns1<<" runs"<<endl;
  cout<<splitRuns1+1<<"-"<<splitRuns2<<" -> "<<splitRuns2-splitRuns1<<" runs"<<endl;
  cout<<splitRuns2+1<<"-"<<splitRuns3<<" -> "<<splitRuns3-splitRuns2<<" runs"<<endl;
  cout<<splitRuns3+1<<"-"<<nRunsUsed<<" -> "<<nRunsUsed-splitRuns3<<" runs"<<endl;

  cout<<"o Run block A ("<<"0-"<<splitRuns1<<")"<<endl;
  cout<<"  Cells masked in Merged version and not in Run-b-run version ("<<vOnlyMaskedInMergedA.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInMergedA.size();i++)
  {
    cout<<vOnlyMaskedInMergedA.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(AmpVsIDrBrBlockA,vOnlyMaskedInMergedA,projMaskedCellsA,projMaskedCellsBlockA,"./cOnlyMergedBlockA.pdf");
  cout<<"  Cells masked in Run-b-run version and not in Merged version ("<<vOnlyMaskedInRunbRunA.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInRunbRunA.size();i++)
  {
    cout<<vOnlyMaskedInRunbRunA.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(hCellAmplitudeBlockMaskA,vOnlyMaskedInRunbRunA,projMaskedCellsA,projMaskedCellsBlockA,"./cOnlyRbRBlockA.pdf");

  cout<<"o Run block B ("<<splitRuns1+1<<"-"<<splitRuns2<<")"<<endl;
  cout<<"  Cells masked in Merged version and not in Run-b-run version ("<<vOnlyMaskedInMergedB.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInMergedB.size();i++)
  {
    cout<<vOnlyMaskedInMergedB.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(AmpVsIDrBrBlockB,vOnlyMaskedInMergedB,projMaskedCellsB,projMaskedCellsBlockB,"./cOnlyMergedBlockB.pdf");
  cout<<"  Cells masked in Run-b-run version and not in Merged version ("<<vOnlyMaskedInRunbRunB.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInRunbRunB.size();i++)
  {
    cout<<vOnlyMaskedInRunbRunB.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(hCellAmplitudeBlockMaskB,vOnlyMaskedInRunbRunB,projMaskedCellsB,projMaskedCellsBlockB,"./cOnlyRbRBlockB.pdf");

  cout<<"o Run block C ("<<splitRuns2+1<<"-"<<splitRuns3<<")"<<endl;
  cout<<"  Cells masked in Merged version and not in Run-b-run version ("<<vOnlyMaskedInMergedC.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInMergedC.size();i++)
  {
    cout<<vOnlyMaskedInMergedC.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(AmpVsIDrBrBlockC,vOnlyMaskedInMergedC,projMaskedCellsC,projMaskedCellsBlockC,"./cOnlyMergedBlockC.pdf");
  cout<<"  Cells masked in Run-b-run version and not in Merged version ("<<vOnlyMaskedInRunbRunC.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInRunbRunC.size();i++)
  {
    cout<<vOnlyMaskedInRunbRunC.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(hCellAmplitudeBlockMaskC,vOnlyMaskedInRunbRunC,projMaskedCellsC,projMaskedCellsBlockC,"./cOnlyRbRBlockC.pdf");

  cout<<"o Run block D ("<<splitRuns3+1<<"-"<<nRunsUsed<<")"<<endl;
  cout<<"  Cells masked in Merged version and not in Run-b-run version ("<<vOnlyMaskedInMergedD.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInMergedD.size();i++)
  {
    cout<<vOnlyMaskedInMergedD.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(AmpVsIDrBrBlockD,vOnlyMaskedInMergedD,projMaskedCellsD,projMaskedCellsBlockD,"./cOnlyMergedBlockD.pdf");
  cout<<"  Cells masked in Run-b-run version and not in Merged version ("<<vOnlyMaskedInRunbRunD.size()<<"):"<<endl;
  for(Int_t i=0; i<(Int_t)vOnlyMaskedInRunbRunD.size();i++)
  {
    cout<<vOnlyMaskedInRunbRunD.at(i)<<","<<flush;
  }
  cout<<endl;
  CreateCellCompPDF(hCellAmplitudeBlockMaskD,vOnlyMaskedInRunbRunD,projMaskedCellsD,projMaskedCellsBlockD,"./cOnlyRbRBlockD.pdf");

  //......................................................
  //..build two dimensional histogram with cells rejected from
  //..the one or the other method
  //......................................................
  Plot2DCells("A",244917,vOnlyMaskedInRunbRunA,vOnlyMaskedInMergedA);
  Plot2DCells("B",244917,vOnlyMaskedInRunbRunB,vOnlyMaskedInMergedB);
  Plot2DCells("C",244917,vOnlyMaskedInRunbRunC,vOnlyMaskedInMergedC);
  Plot2DCells("D",244917,vOnlyMaskedInRunbRunD,vOnlyMaskedInMergedD);

  vOnlyMaskedInRunbRunA.insert( vOnlyMaskedInRunbRunA.end(), vOnlyMaskedInRunbRunB.begin(), vOnlyMaskedInRunbRunB.end() );
  vOnlyMaskedInRunbRunA.insert( vOnlyMaskedInRunbRunA.end(), vOnlyMaskedInRunbRunC.begin(), vOnlyMaskedInRunbRunC.end() );
  vOnlyMaskedInRunbRunA.insert( vOnlyMaskedInRunbRunA.end(), vOnlyMaskedInRunbRunD.begin(), vOnlyMaskedInRunbRunD.end() );
  vOnlyMaskedInMergedA.insert( vOnlyMaskedInMergedA.end(), vOnlyMaskedInMergedB.begin(), vOnlyMaskedInMergedB.end() );
  vOnlyMaskedInMergedA.insert( vOnlyMaskedInMergedA.end(), vOnlyMaskedInMergedC.begin(), vOnlyMaskedInMergedC.end() );
  vOnlyMaskedInMergedA.insert( vOnlyMaskedInMergedA.end(), vOnlyMaskedInMergedD.begin(), vOnlyMaskedInMergedD.end() );
  Plot2DCells("sum",244917,vOnlyMaskedInRunbRunA,vOnlyMaskedInMergedA);

}
//
//
//
//
void Plot2DCells(TString Block, Int_t runNo, std::vector<Int_t> cellVectorRbR, std::vector<Int_t> cellVectorMerge)
{
  gROOT->SetBatch(1); //..Prevent ROOT from stealing focus when plotting
  //......................................................
  //..Initialize EMCal/DCal geometry
   AliCalorimeterUtils* fCaloUtils = new AliCalorimeterUtils();
  //..Create a dummy event for the CaloUtils
  AliAODEvent* aod = new AliAODEvent();
  fCaloUtils->SetRunNumber(runNo);
  fCaloUtils->AccessGeometry(aod);
  //......................................................
  //..setings for the 2D histogram
  Int_t nModules=fCaloUtils->GetEMCALGeometry()->GetNumberOfSuperModules();
  Int_t fNMaxColsAbs = 2*48;
  Int_t fNMaxRowsAbs = Int_t (nModules/2)*24; //multiply by number of supermodules

  TH2F *plot2D_RbR   = new TH2F(Form("Block%s_MaskedRbR",Block.Data()),Form("Block%s_MaskedRbR",Block.Data()),fNMaxColsAbs+1,-0.5,fNMaxColsAbs+0.5, fNMaxRowsAbs+1,-0.5,fNMaxRowsAbs+0.5);
  plot2D_RbR->GetXaxis()->SetTitle("cell column (#eta direction)");
  plot2D_RbR->GetYaxis()->SetTitle("cell row (#phi direction)");
  TH2F *plot2D_Merge = new TH2F(Form("Block%s_MaskedMerge",Block.Data()),Form("Block%s_MaskedMerge",Block.Data()),fNMaxColsAbs+1,-0.5,fNMaxColsAbs+0.5, fNMaxRowsAbs+1,-0.5,fNMaxRowsAbs+0.5);
  plot2D_Merge->GetXaxis()->SetTitle("cell column (#eta direction)");
  plot2D_Merge->GetYaxis()->SetTitle("cell row (#phi direction)");

  Int_t cellColumn=0,cellRow=0;
  Int_t cellColumnAbs=0,cellRowAbs=0;
  Int_t trash;

  for(Int_t i = 0; i < (Int_t)cellVectorRbR.size(); i++)
  {
    Int_t cell=cellVectorRbR.at(i);
    //..Do that only for cell ids also accepted by the code
    if(!fCaloUtils->GetEMCALGeometry()->CheckAbsCellId(cell))continue;

    //..Get Row and Collumn for cell ID c
    fCaloUtils->GetModuleNumberCellIndexesAbsCaloMap(cell,0,cellColumn,cellRow,trash,cellColumnAbs,cellRowAbs);
    if(cellColumnAbs> fNMaxColsAbs || cellRowAbs>fNMaxRowsAbs)
    {
      cout<<"Problem! wrong calculated number of max col and max rows"<<endl;
      cout<<"current col: "<<cellColumnAbs<<", max col"<<fNMaxColsAbs<<endl;
      cout<<"current row: "<<cellRowAbs<<", max row"<<fNMaxRowsAbs<<endl;
    }
    plot2D_RbR->Fill(cellColumnAbs,cellRowAbs);
  }
  for(Int_t i = 0; i < (Int_t)cellVectorMerge.size(); i++)
  {
    Int_t cell=cellVectorMerge.at(i);
    //..Do that only for cell ids also accepted by the code
    if(!fCaloUtils->GetEMCALGeometry()->CheckAbsCellId(cell))continue;

    //..Get Row and Collumn for cell ID c
    fCaloUtils->GetModuleNumberCellIndexesAbsCaloMap(cell,0,cellColumn,cellRow,trash,cellColumnAbs,cellRowAbs);
    if(cellColumnAbs> fNMaxColsAbs || cellRowAbs>fNMaxRowsAbs)
    {
      cout<<"Problem! wrong calculated number of max col and max rows"<<endl;
      cout<<"current col: "<<cellColumnAbs<<", max col"<<fNMaxColsAbs<<endl;
      cout<<"current row: "<<cellRowAbs<<", max row"<<fNMaxRowsAbs<<endl;
    }
    plot2D_Merge->Fill(cellColumnAbs,cellRowAbs,1);
  }
  //. . . . . . . . . . . . . . . . . . . .
  TCanvas *c1 = new TCanvas(Form("2DMapForBlock%s",Block.Data()),Form("2DMapForBlock%s",Block.Data()),900,500);
  c1->ToggleEventStatus();
  c1->Divide(2);
  c1->cd(1);
  plot2D_RbR->Draw("colz");
  c1->cd(2);
  plot2D_Merge->Draw("colz");
}
//
//________________________________________________________________________
void BuildMaxMinHisto(TH1D* inHisto, TH1D* minHist,TH1D* maxHist)
{
  Double_t ref;
  Double_t min;
  Double_t max;
  for(Int_t bin=1;bin<50;bin++)
  {
    ref = inHisto->GetBinContent(bin);
      max = maxHist->GetBinContent(bin);
      min = minHist->GetBinContent(bin);
      if((ref!=0 && ref<min) || min==0)minHist->SetBinContent(bin,ref);
      if(ref>max)maxHist->SetBinContent(bin,ref);
  }
}
//
//________________________________________________________________________
Bool_t IsItReallyBadRatio(TH1D* minHistoRatio,TH1D* maxHistoRatio,TH1D* meanHistoRatio, TString& crit)
{
  //minHistoRatio  ->Smooth();
  //maxHistoRatio  ->Smooth();
  //meanHistoRatio ->Smooth();

  //..do the check only until 1 GeV because
  //..then we are running out of statistic
  /*Int_t OneGeVBin  =minHistoRatio->FindBin(1.47);  //=30bins
  Int_t HalfGeVBin =minHistoRatio->FindBin(0.73);  //=15bins
  Int_t ThirdGeVBinA =minHistoRatio->FindBin(0.35);
  Int_t ThirdGeVBinB =minHistoRatio->FindBin(0.7);
  Int_t ThirdGeVBinC =minHistoRatio->FindBin(1.05);
  */
    Double_t mBlock1=0,mBlock2=0,mBlock3=0,mBlock4=0,mBlock5=0;
    Double_t zBlock1=0,zBlock2=0,zBlock3=0,zBlock4=0,zBlock5=0;

  Double_t minMean=0,    maxMean=0,    meanMean=0;
  Double_t zminMean=0,   zmaxMean=0,   zmeanMean=0;
/*  Double_t meanMean1=0,  meanMean2=0;
  Double_t meanMeanA3=0, meanMeanB3=0, meanMeanC3=0;
  Int_t zeroBinsHalf1=0, zeroBinsHalf2=0;
  Int_t zeroBinsThird1=0, zeroBinsThird2=0, zeroBinsThird3=0;
*/
  //for(Int_t bin=0;bin<30;bin++)
  for(Int_t bin=3;bin<53;bin++)
  {
    if(bin<33)
    {
      minMean  += minHistoRatio ->GetBinContent(bin);
      maxMean  += maxHistoRatio ->GetBinContent(bin);
      meanMean += meanHistoRatio->GetBinContent(bin);
      if(minHistoRatio->GetBinContent(bin)==0)zminMean++;
      if(maxHistoRatio->GetBinContent(bin)==0)zmaxMean++;
      if(meanHistoRatio->GetBinContent(bin)==0)zmeanMean++;
    }

/*    if(bin<18)      meanMean1+=meanHistoRatio->GetBinContent(bin);
    else if(bin<33) meanMean2+=meanHistoRatio->GetBinContent(bin);

*/
    /*    if(bin<10)     meanMeanA3+=meanHistoRatio->GetBinContent(bin+1);
    else if(bin<20)meanMeanB3+=meanHistoRatio->GetBinContent(bin+1);
    else           meanMeanC3+=meanHistoRatio->GetBinContent(bin+1);
     */
    if(bin<13)      mBlock1+=meanHistoRatio->GetBinContent(bin);
    else if(bin<23) mBlock2+=meanHistoRatio->GetBinContent(bin);
    else if(bin<33) mBlock3+=meanHistoRatio->GetBinContent(bin);
    else if(bin<43) mBlock4+=meanHistoRatio->GetBinContent(bin);
    else if(bin<53) mBlock5+=meanHistoRatio->GetBinContent(bin);
    //..count zero bins
    if(meanHistoRatio->GetBinContent(bin)==0)
    {
      if(bin<13)      zBlock1++;
      else if(bin<23) zBlock2++;
      else if(bin<33) zBlock3++;
      else if(bin<43) zBlock4++;
      else if(bin<53) zBlock5++;
    }
  /*  //..correct for zero bins
    if(meanHistoRatio->GetBinContent(bin+1)==0 && bin<15) zeroBinsHalf1++;
    else if(meanHistoRatio->GetBinContent(bin+1)==0)      zeroBinsHalf2++;

    if(meanHistoRatio->GetBinContent(bin+1)==0 && bin<10)     zeroBinsThird1++;
    else if(meanHistoRatio->GetBinContent(bin+1)==0 && bin<20)zeroBinsThird2++;
    else if(meanHistoRatio->GetBinContent(bin+1)==0)          zeroBinsThird3++;
  */}
  //.......................................
  //..correct for zero bins
  //.......................................
/*
  if(zeroBinsHalf1!=0)meanMean1=meanMean1/(1.0-1.0*zeroBinsHalf1/15);
  if(zeroBinsHalf2!=0)meanMean2=meanMean2/(1.0-1.0*zeroBinsHalf2/15);

  if(zeroBinsThird1!=0)meanMeanA3=meanMeanA3/(1.0-1.0*zeroBinsThird1/10);
  if(zeroBinsThird2!=0)meanMeanB3=meanMeanB3/(1.0-1.0*zeroBinsThird2/10);
  if(zeroBinsThird3!=0)meanMeanC3=meanMeanC3/(1.0-1.0*zeroBinsThird3/10);
*/
  if(zBlock1<10 && zBlock1!=0)mBlock1=mBlock1/(1.0-1.0*zBlock1/10);
  if(zBlock2<10 && zBlock2!=0)mBlock2=mBlock2/(1.0-1.0*zBlock2/10);
  if(zBlock3<10 && zBlock3!=0)mBlock3=mBlock3/(1.0-1.0*zBlock3/10);
  if(zBlock4<10 && zBlock4!=0)mBlock4=mBlock4/(1.0-1.0*zBlock4/10);
  if(zBlock5<10 && zBlock5!=0)mBlock5=mBlock5/(1.0-1.0*zBlock5/10);

  if(zminMean!=0)minMean  =minMean/(1.0-1.0*zminMean/30);
  if(zmaxMean!=0)maxMean  =maxMean/(1.0-1.0*zmaxMean/30);
  if(zmeanMean!=0)meanMean=meanMean/(1.0-1.0*zmeanMean/30);

  //..if more than half of the bins in the block were 0 exclude block
  if(zBlock1>5)mBlock1=0;
  if(zBlock2>5)mBlock2=0;
  if(zBlock3>5)mBlock3=0;
  if(zBlock4>5)mBlock4=0;
  if(zBlock5>5)mBlock5=0;
  //.......................................
  //..check criteria
  //.......................................

  //..bad channel is 5times lower than max distr.
  crit = "spectr. too low";
  if(meanMean/30.0>5) return 1;
  if(minMean/30.0 >5) return 1;   //5 times lower than the lowest run
  //..bad channel is 5times higher than max distr.
  crit = "spectr. too high";
  if(meanMean/30.0<0.2) return 1;
  if(maxMean/30.0 <0.2) return 1; //5 times higher than the highest run

  //..if there is a slope down (should be more than 10% decrease)
  crit = "slope down";
  Int_t down=0;
  if(mBlock1!=0 && mBlock2!=0 && mBlock1>mBlock2 && mBlock1>1.4*mBlock2)down++;
  if(mBlock2!=0 && mBlock3!=0 && mBlock2>mBlock3 && mBlock2>1.4*mBlock3)down++;
  if(mBlock3!=0 && mBlock4!=0 && mBlock3>mBlock4 && mBlock3>1.4*mBlock4)down++;
  if(mBlock4!=0 && mBlock5!=0 && mBlock4>mBlock5 && mBlock4>1.4*mBlock5)down++;
  if(down>=2)return 1; //..means at least three blocks have to be staggered

  crit = "slope up";
  Int_t up=0;
  if(mBlock1!=0 && mBlock2 !=0 && mBlock1<mBlock2 && 1.4*mBlock1<mBlock2)up++;
  if(mBlock2!=0 && mBlock3 !=0 && mBlock2<mBlock3 && 1.4*mBlock2<mBlock3)up++;
  if(mBlock3!=0 && mBlock4 !=0 && mBlock3<mBlock4 && 1.4*mBlock3<mBlock4)up++;
  if(mBlock4!=0 && mBlock5 !=0 && mBlock4<mBlock5 && 1.4*mBlock4<mBlock5)up++;
  if(up>=2)return 1; //..means at least three blocks have to be staggered

  //..if there is a step at 2.1 GeV
    crit = "step 2.1 GeV";
    if(mBlock4!=0 && mBlock5!=0 && mBlock4>mBlock5 && mBlock4>20*mBlock5) return 1;

    //..if there is a steep step at 1.1 GeV (can only be performed if this is not dominated by "zero" bins)
//    crit = "step 1.1";
//    if(zeroBinsThird3<5 && meanMeanB3>meanMeanC3 && meanMeanB3>3.5*meanMeanC3) return 1;

    //..step at 4 GeV is hard to check since we run out of statistic here

    //..is good
    crit = "";
  return 0;
}
//
//________________________________________________________________________
void PlotLowFractionCells(TString pdfName, std::vector<Int_t> cellVector,TH2F* badVsCell[],Int_t nRuns,TH2F* ampID[],TH1D* hCellGoodMean[])
{
  gROOT->ProcessLine("gErrorIgnoreLevel = kWarning;"); //..to supress a lot of standard output
  gROOT->SetBatch(1); //..Prevent ROOT from stealing focus when plotting

  Int_t nRescuableChannels=cellVector.size();
  Int_t totalperCv = 16;
  Int_t nPad = TMath::Sqrt(totalperCv);
  Int_t nCv  = nRescuableChannels/totalperCv+1;
  Int_t lastGood=0;

  TLatex* text = new TLatex(0.45,0.6,"*Indeed bad*");//..
  text->SetTextSize(0.07);
  text->SetTextColor(kAzure-8);
  text->SetNDC();

  TH1D *maxHisto  = ampID[0]->ProjectionX("hMaxCells", 1, 1);
  TH1D *minHisto  = ampID[0]->ProjectionX("hMinCells", 1, 1);
  TH1D* hgoodMean = ampID[0]->ProjectionX("hMeanofRuns", 1, 1);
  if(nCv<1)nCv=1;

  cout<<"    o create: "<<nCv<<" Canvases with "<<nPad*nPad<<" pads"<<endl;
  //..to compare specific cells over the runs
  TCanvas **cComp     = new TCanvas*[nCv];
  TCanvas **cCompDiv  = new TCanvas*[nCv];
  for(Int_t i=0;i<nCv;i++)
  {
    cComp[i]    = new TCanvas(TString::Format("CompareGood%d", i), TString::Format("V) Candidates (%d/%d)", i+1, nCv), 1000,750);
    cComp[i]    ->Divide(nPad,nPad,0.001,0.001);
    cCompDiv[i] = new TCanvas(TString::Format("CompareGood Ratio%d", i), TString::Format("V) Candidates Ratio (%d/%d)", i+1, nCv), 1000,750);
    cCompDiv[i] ->Divide(nPad,nPad,0.001,0.001);
  }

  Int_t notBadCounter=0;
  //TH1F** hCellSpectr = new TH1F*[nRescuableChannels];
  for(Int_t cell=0;cell< (Int_t)cellVector.size();cell++)
  {
    if(cell%400==0)cout<<"cell No."<<cell<<endl;
    if(cell%20==0) cout<<"."<<flush;
    maxHisto->Reset();
    minHisto->Reset();
    hgoodMean->Reset();
    TH1D* declaredBad;
    std::vector<TH1D*> badHistVector;
    Int_t badRun=-1;
    for(Int_t i = 0 ; i < nRuns ; i++)
    {
      TH1D *htmpCell = ampID[i]->ProjectionX(TString::Format("hIDProj_cell%dRun%i", cellVector.at(cell),i), cellVector.at(cell)+1, cellVector.at(cell)+1);
      htmpCell->SetLineColor(kGray+1);
      if(badVsCell[2]->GetBinContent(cellVector.at(cell)+1,i+1)==1)
      {
        htmpCell->SetLineColor(2);
        htmpCell->SetFillColor(2);
        htmpCell->SetFillStyle(3002);
        declaredBad = (TH1D*)htmpCell->Clone("saveForLater");
        badHistVector.push_back(htmpCell);
        badRun=i;
        //if(htmpCell->Integral()==0)cout<<"cell "<<cell<<" is dead for run: "<<i<<endl;
      }
      else
      {
        BuildMaxMinHisto(htmpCell,minHisto,maxHisto);
        hgoodMean->Add(htmpCell);
      }
      //..go to the last pad and draw the mean of all good cell distribution
      //..for all the tested runs
      if(i==0)
      {
        cComp[nCv-1]   ->cd(nPad*nPad)->SetLogy();
        SetHisto(hCellGoodMean[i],"","Number of Hits",0);
        hCellGoodMean[i]->GetXaxis()->SetRangeUser(0,3);
        hCellGoodMean[i]->Draw("hist");
      }
      else
      {
        cComp[nCv-1]   ->cd(nPad*nPad)->SetLogy();
        hCellGoodMean[i]->Draw("same hist");
      }
      //..go to pads and draw cell in all runs
      lastGood=(cell-notBadCounter)/totalperCv;//..you can overwrite good canvases to lessen the amount of canvases
      if(i==0)
      {
        cComp[(cell-notBadCounter)/totalperCv]->cd(((cell-notBadCounter)%totalperCv)+1)->SetLogy();
        SetHisto(htmpCell,Form("Energy of cell %i",cellVector.at(cell)),"Number of Hits",0);
        htmpCell->GetXaxis()->SetRangeUser(0,3);
        htmpCell->Draw("hist");
      }
      else
      {
        cComp[(cell-notBadCounter)/totalperCv]->cd(((cell-notBadCounter)%totalperCv)+1)->SetLogy();
        htmpCell->DrawCopy("same hist");
      }
    }//..end of loop over runs
    hgoodMean->Scale(1.0/nRuns);

    hCellGoodMean[badRun]->DrawCopy("same hist"); //..draw the mean of all good cells for the run where the cell was bad
    minHisto->SetLineColor(1);
    maxHisto->SetLineColor(1);
    minHisto->DrawCopy("same");     //..draw the combined minimum of that cell for all the runs
    maxHisto->DrawCopy("same");     //..draw the combined maximum of that cell for all the runs

    //..Draw bad again
    for(Int_t j=0;j< (Int_t)badHistVector.size();j++)
    {
      badHistVector[j]->SetLineColor(2);
      badHistVector[j]->DrawCopy("same");
    }

    TLegend *leg = new TLegend(0.35,0.65,0.75,0.85);
    leg->AddEntry(hCellGoodMean[badRun],"mean of good cells","l");
    leg->AddEntry(declaredBad,"Cell in the ''bad'' run","l");
    leg->AddEntry(maxHisto,"max and min values","l");
    leg->SetBorderSize(0);
    leg->SetTextSize(0.07);
    leg->Draw("same");

    //. . . . . . . . . . . . . . . . . . . . . . . . .
    //..Fill the ratio canvas
    cCompDiv[(cell-notBadCounter)/totalperCv]->cd(((cell-notBadCounter)%totalperCv)+1);

    //..Draw bad again
    Int_t runTry=0;
    Bool_t badRatio=0;
    TString failCrit;
    for(Int_t j=0;j< (Int_t)badHistVector.size();j++)
    {
      TH1D* minHistoCopy =(TH1D*)minHisto->Clone("minHistoCopy");
      TH1D* maxHistoCopy =(TH1D*)maxHisto->Clone("maxHistoCopy");
      TH1D* meanHistoCopy=(TH1D*)hgoodMean->Clone("meanHistoCopy");
      minHistoCopy ->Divide(badHistVector[j]);
      maxHistoCopy ->Divide(badHistVector[j]);
      meanHistoCopy->Divide(badHistVector[j]);

      SetHisto(maxHistoCopy,Form("Energy of cell %i",cellVector.at(cell)),"max,min,mean / bad cell",0);
      maxHistoCopy->GetXaxis()->SetRangeUser(0,3);
      maxHistoCopy->DrawCopy("hist");
      minHistoCopy->DrawCopy("same hist");
      meanHistoCopy->SetLineColor(kBlue-8);
      meanHistoCopy->DrawCopy("same hist");
      //cout<<"cell: "<<cell<<endl;
      badRatio = IsItReallyBadRatio(minHistoCopy,maxHistoCopy,meanHistoCopy,failCrit);
      runTry=j;
      if(badRatio==1)break; //if its bad for one of the runs its enough
    }
    if(badRatio==1)
    {
      gPad->SetFrameFillColor(kRed-10);
      text->DrawLatexNDC(0.45,0.8,Form("#splitline{(%i)Excluded: }{%s}",runTry,(const char*)failCrit));;
    }
    else
    {
      //de-mask cells not declared as bad. (re-inclusion)
      for(Int_t j = 0 ; j < nRuns ; j++)
      {
        badVsCell[0]->SetBinContent(cellVector.at(cell)+1,j+1,0);
        badVsCell[1]->SetBinContent(cellVector.at(cell)+1,j+1,0);
        badVsCell[2]->SetBinContent(cellVector.at(cell)+1,j+1,0);
      }
    }
    if(cell==(Int_t)cellVector.size()-1)text->SetText(0.45,0.8,"test");

  }
  cout<<endl;

  //..plot the canvases of cells into a .pdf file
  for(Int_t can=0;can<nCv;can++)
  {
    TString internal_pdfName1=pdfName+"Low.pdf";
    TString internal_pdfName2=pdfName+"High.pdf";
    TString internal_pdfName3=pdfName+"Ratio.pdf";
    if(can==0)
    {
      //..first pad
      internal_pdfName1 +="(";
      internal_pdfName2 +="(";
      internal_pdfName3 +="(";
      cComp[can]    ->Print(internal_pdfName1.Data());
      cCompDiv[can] ->Print(internal_pdfName3.Data());
    }
    else if(can==(nCv-1))
    {
      //..last pad
      internal_pdfName1 +=")";
      internal_pdfName2 +=")";
      internal_pdfName3 +=")";
      cComp[can]    ->Print(internal_pdfName1.Data());
      cCompDiv[can] ->Print(internal_pdfName3.Data());
    }
    else
    {
      //..all pads in between
      cComp[can]    ->Print(internal_pdfName1.Data());
      cCompDiv[can] ->Print(internal_pdfName3.Data());
    }
  }
  for(Int_t i=lastGood+1;i<nCv-1;i++)
  {
    cout<<"last good "<<lastGood<<endl;
    cout<<"nCv "<<nCv<<endl;
    cout<<"round "<<i<<endl;
    delete cComp[i];
  }
  cout<<endl;

}
//________________________________________________________________________
TH2F* CompressHistogram(TH2 *Histo,Int_t totalCells, Int_t badCells,std::vector<Int_t> runIdVec)
{
  TH2F* cpmpressed = new TH2F(Form("%s_Comp",Histo->GetName()),Form("%s_Comp",Histo->GetName()),badCells+2, 0,badCells+2,runIdVec.size(),0,runIdVec.size());

  Histo->GetXaxis()->UnZoom();
  TH1D *htmpCell = Histo->ProjectionX(TString::Format("%s_proj",cpmpressed->GetName()),0,runIdVec.size());
  Int_t sumRun=0,newHistoBin=0;
  for(Int_t icell = 0; icell < totalCells ; icell++)
  {
    sumRun = htmpCell->GetBinContent(icell+1);
    //cout<<"enties cell("<<icell<<"): "<<sumRun<<endl;
    //..Fill non zero entries into the new histogram
    if(sumRun>0)
    {
      newHistoBin++;
      if(newHistoBin>badCells)cout<<"PROBLEM"<<endl;
      for(Int_t iRun = 0; iRun < (Int_t)runIdVec.size() ; iRun++)
      {
        cpmpressed->Fill(newHistoBin,iRun,Histo->GetBinContent(icell+1,iRun+1));
        //cout<<"fill bin "<<newHistoBin<<" with value: 2"<<endl;
      }
    }
  }
  for(Int_t i=0;i<(Int_t)runIdVec.size();i++)
  {
    cpmpressed->GetYaxis()->SetBinLabel(i+1,Form("%i",runIdVec.at(i)));
  }
  return cpmpressed;
}
//________________________________________________________________________
void PlotHorLineRange(Double_t y_val, Double_t xLow, Double_t xHigh, Int_t Line_Col)
{
    TLine* Zero_line = new TLine();
    Zero_line -> SetY1(y_val);
    Zero_line -> SetY2(y_val);
    Zero_line -> SetX1(xLow);
    Zero_line -> SetX2(xHigh);
    //cout << "x_val = " << x_val << ", Bin = " << Histo->FindBin(x_val) << ", Y2 = " << Histo->GetBinContent(Histo->FindBin(x_val)) << endl;
    Zero_line -> SetLineWidth(3);
    Zero_line -> SetLineStyle(7);
    Zero_line -> SetLineColor(Line_Col);
    Zero_line -> Draw();
    //delete Zero_line;
}
//________________________________________________________________________
void SetHisto(TH2 *Histo,TString Xtitel,TString Ytitel,Bool_t longhisto)
{
  //ELI
  Histo->SetStats(0);
  Histo->SetTitle("");
  if(longhisto==0)
  {
    Histo->GetYaxis()->SetTitleOffset(1.4);
    Histo->GetXaxis()->SetTitleOffset(1.4);
    Histo->GetXaxis()->SetLabelSize(0.05);
    Histo->GetYaxis()->SetLabelSize(0.05);
    Histo->GetXaxis()->SetTitleSize(0.045);
    Histo->GetYaxis()->SetTitleSize(0.045);
  }
  //..these are the run number vs. ID
  if(longhisto==1)
  {
    Histo->GetYaxis()->SetTitleOffset(0.6);
    Histo->GetXaxis()->SetTitleOffset(0.8);
    Histo->GetYaxis()->SetLabelOffset(0.002);
//    Histo->GetXaxis()->SetLabelSize(0.07);
//    Histo->GetYaxis()->SetLabelSize(0.07);
    Histo->GetXaxis()->SetLabelSize(0.025);
    Histo->GetYaxis()->SetLabelSize(0.015);
    Histo->GetXaxis()->SetTitleSize(0.03);
    Histo->GetYaxis()->SetTitleSize(0.04);
    Histo->GetYaxis()->SetTickLength(0.02);
  }
  //Histo->GetXaxis()->CenterTitle();
  //Histo->GetYaxis()->CenterTitle();

  if(longhisto==1)
  {
    Histo->GetXaxis()->SetNdivisions(520);
    //Histo->GetYaxis()->SetNdivisions(10);
  }
  else
  {
    Histo->GetXaxis()->SetNdivisions(505);
    Histo->GetYaxis()->SetNdivisions(505);
  }

  //..make nice font
  Histo->GetXaxis()->SetLabelFont(42);
  Histo->GetYaxis()->SetLabelFont(42);
  Histo->GetXaxis()->SetTitleFont(42);
  Histo->GetYaxis()->SetTitleFont(42);
  if(Xtitel!="")Histo->GetXaxis()->SetTitle(Xtitel);
  if(Ytitel!="")Histo->GetYaxis()->SetTitle(Ytitel);
  Histo->SetLineColor(1);
  Histo->SetMarkerColor(1);
  Histo->SetMarkerStyle(20);
  Histo->SetMarkerSize(0.5);
}
//________________________________________________________________________
void SetHisto(TH1 *Histo,TString Xtitel,TString Ytitel,Bool_t longhisto)
{
  Histo->SetStats(0);
  Histo->SetTitle("");
  if(longhisto==0)
  {
    Histo->GetYaxis()->SetTitleOffset(1.4);
    Histo->GetXaxis()->SetTitleOffset(1.4);
    Histo->GetXaxis()->SetLabelSize(0.05);
    Histo->GetYaxis()->SetLabelSize(0.05);
    Histo->GetXaxis()->SetTitleSize(0.045);
    Histo->GetYaxis()->SetTitleSize(0.045);
    Histo->GetXaxis()->SetNdivisions(505);
    Histo->GetYaxis()->SetNdivisions(505);
  }

  if(longhisto==1)
  {
    Histo->GetYaxis()->SetTitleOffset(0.2);
    Histo->GetXaxis()->SetTitleOffset(1.0);
    //if(big==1)  Histo->GetYaxis()->SetLabelOffset(0.015);
    //if(big==1)  Histo->GetXaxis()->SetLabelOffset(0.015);
    Histo->GetXaxis()->SetLabelSize(0.07);
    Histo->GetYaxis()->SetLabelSize(0.07);
    Histo->GetXaxis()->SetTitleSize(0.08);
    Histo->GetYaxis()->SetTitleSize(0.08);
    //Histo->GetXaxis()->CenterTitle();
    //Histo->GetYaxis()->CenterTitle();
    Histo->GetXaxis()->SetNdivisions(520);
    Histo->GetYaxis()->SetNdivisions(10);
  }

  Histo->GetXaxis()->SetLabelFont(42);
  Histo->GetYaxis()->SetLabelFont(42);
  Histo->GetXaxis()->SetTitleFont(42);
  Histo->GetYaxis()->SetTitleFont(42);
  if(Xtitel!="")Histo->GetXaxis()->SetTitle(Xtitel);
  if(Ytitel!="")Histo->GetYaxis()->SetTitle(Ytitel);

  Histo->SetLineColor(1);
  Histo->SetMarkerColor(1);
  Histo->SetMarkerStyle(20);
  Histo->SetMarkerSize(0.5);
}
//
//
// checks if the cell is part of manually masked cells
//
Bool_t IsCellMaskedByHand(Int_t cell, std::vector<Int_t> cellVector)
{
  Bool_t bad=0;
  for(Int_t i=0; i<(Int_t)cellVector.size();i++)
  {
    if(cell==cellVector.at(i))bad=1;
  }

  return bad;
}
void CreateCellCompPDF(TH2F* hAmpIDMasked, std::vector<Int_t> cellVector,TH1* goodCellsMerged, TH1* goodCellsRbR, TString pdfName)
{
  Int_t NoOfCells=cellVector.size();
  Bool_t firstCanvas=0;
  TString name;
  /*TLatex* textA = new TLatex(0.2,0.8,"*test*");
  textA->SetTextSize(0.08);
  textA->SetTextColor(1);
  textA->SetNDC();
    */
  for(Int_t cell=0;cell<NoOfCells;cell++)
  {
    TString internal_pdfName=pdfName;
    TCanvas *c1=nullptr;
    if((cell%9)==0)
    {
      c1 = new TCanvas(Form("badcells%i",cell),"badcells",1000,750);
      if(cellVector.size() > 6)        c1->Divide(3,3);
      else if (cellVector.size() > 3)  c1->Divide(3,2);
      else                             c1->Divide(3,1);
    }
    TH1 *hCell  = hAmpIDMasked->ProjectionX(Form("Cell %d",cellVector.at(cell)),cellVector.at(cell)+1,cellVector.at(cell)+1);
    TH1 *hCell2 = (TH1*)hCell->Clone("hCell2");

    c1->cd((cell%9) + 1);
    hCell->Divide(goodCellsRbR);
    hCell2->Divide(goodCellsMerged);

    hCell->SetLineColor(kBlue-8);
    hCell2->SetLineColor(kRed-9);
    hCell->GetXaxis()->SetTitle("E (GeV)");
    hCell->GetYaxis()->SetTitle("cell/mean of good");
    hCell->GetXaxis()->SetRangeUser(0.,10.);
    hCell->SetLineWidth(1) ;
    hCell->SetTitle(Form("Cell No. %d",cellVector.at(cell)));
    hCell->Draw("hist");
    hCell2->DrawCopy("same hist");

    //textA->SetTitle(Form("Cell No. %d",cellVector.at(cell)));
    //textA->Draw();

    //..page is full or end of loop
    if(cell%9==8 ||cell == NoOfCells-1)
    {
      if(cell == NoOfCells-1)
      {
        //internal_pdfName +=")";
        c1->Print(Form("%s)",pdfName.Data()));
      }
      else if(firstCanvas==0)
      {
        internal_pdfName +="(";
        c1->Print(internal_pdfName.Data());
        firstCanvas=1;
      }
      else
      {
        c1->Print(internal_pdfName.Data());
      }
      delete c1;
    }
  }

}