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ComputeCorrelationFactors.C
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ComputeCorrelationFactors.C
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/****************************************************************************************************************************
****** provided by Gamma Conversion Group, PWGGA, *****
****** Daniel Mühlheim, d.muehlheim@cern.ch *****
*****************************************************************************************************************************/
#include <TString.h>
#include <TObject.h>
#include <TH1.h>
#include <TH2.h>
#include <TPad.h>
#include <TCanvas.h>
#include <TGraph.h>
#include <TGraphErrors.h>
#include <TGraphAsymmErrors.h>
#include <TGaxis.h>
#include <TLegend.h>
#include <TFrame.h>
#include <TSystem.h>
#include <TStyle.h>
#include <TLatex.h>
#include <TF1.h>
#include <TASImage.h>
#include <TMarker.h>
#include <TDatime.h>
#include <TArrow.h>
#include <TROOT.h>
#include <TObjString.h>
#include <TFile.h>
#include "TMath.h"
#include <Riostream.h>
#include <string>
#include <sstream>
#include <fstream>
#include <stdlib.h>
#include <fstream>
#include <math.h>
#include "CommonHeaders/PlottingGammaConversionHistos.h"
#include "CommonHeaders/PlottingGammaConversionAdditional.h"
#include "CommonHeaders/ConversionFunctionsBasicsAndLabeling.h"
using namespace std;
Int_t GetPosInVec( std::vector<TString> vec, TString lookup){
for(Int_t i=0; i<(Int_t)vec.size(); i++){
if(vec.at(i).CompareTo(lookup) == 0) return i;
}
cout << "ERROR in GetPosInVec, did not find '" << lookup.Data() << "'" << endl;
return -1;
}
void ComputeCorrelationFactors(
TString fileInput = "input.txt",
TString combMode = "triggers",
TString meson = "",
TString energy = "",
Int_t mode = -1,
TString suffix = "eps",
Bool_t isStatCorr = kFALSE,
TString centrality = "",
TString eventCut = ""
){
//---------------------------------------------------------------------------------------------------------------
//---------------------------- General setting & global variables -----------------------------------------------
//---------------------------------------------------------------------------------------------------------------
gROOT->Reset();
gROOT->SetStyle("Plain");
TH1::AddDirectory(kFALSE);
StyleSettingsThesis();
SetPlotStyle();
TString mesonPlot = "";
if(meson.CompareTo("Pi0") == 0 || meson.CompareTo("Pi0RpPb") == 0)
mesonPlot = "#pi^{0}";
else if(meson.CompareTo("Eta") == 0 || meson.CompareTo("EtaRpPb") == 0)
mesonPlot = "#eta";
else if(meson.CompareTo("Pi0EtaBinning") == 0 || meson.CompareTo("EtaToPi0") == 0)
mesonPlot = "#eta/#pi^{0}";
else if(meson.CompareTo("Omega") == 0)
mesonPlot = "#omega";
else if(meson.CompareTo("GammaInc") == 0 )
mesonPlot = "#gamma_{inc}";
else if(meson.CompareTo("IncGammaToPi0") == 0 )
mesonPlot = "#gamma_{inc}/#pi^{0}";
else if(meson.CompareTo("RGamma") == 0 )
mesonPlot = "R_{#gamma}";
TString modeOutput = Form("%d",mode);
if(combMode.CompareTo("systems")==0)
modeOutput = "Systems";
if (isStatCorr) mesonPlot = "stat. corr "+mesonPlot;
else mesonPlot = "sys. corr "+mesonPlot;
TString dateForOutput = ReturnDateStringForOutput();
TString fCollisionSystemWrite = ReturnCollisionEnergyOutputString(energy);
TString fCollisionSystemAndCent = fCollisionSystemWrite;
TString centralityForOutput = GetCentralityStringOutput(eventCut);
if (energy.CompareTo("5TeV2017") == 0 && eventCut.CompareTo("") == 0)
centralityForOutput = "MB";
else if (energy.Contains("5TeV2017Ref1"))
centralityForOutput = centralityForOutput+"Ref1";
else if (energy.Contains("5TeV2017Ref2"))
centralityForOutput = centralityForOutput+"Ref2";
else if (energy.CompareTo("pPb_5.023TeVCent") == 0)
centralityForOutput = centralityForOutput+"Cent";
TString collisionSystem = ReturnFullCollisionsSystem(energy);
if (centrality.CompareTo("") != 0){
collisionSystem = centrality+" "+collisionSystem;
fCollisionSystemAndCent = centralityForOutput+"_"+fCollisionSystemWrite;
}
TString outputDir = Form("%s/%s/ComputeCorrelationFactors_%s",suffix.Data(),dateForOutput.Data(), fCollisionSystemWrite.Data());
TString detectionProcess = ReturnFullTextReconstructionProcess(mode);
fstream fLog;
fLog.open(Form("%s/%s_%s_%s_mode%s.log",outputDir.Data(),meson.Data(),combMode.Data(),fCollisionSystemAndCent.Data(),modeOutput.Data()), ios::out);
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "Energy: " << fCollisionSystemAndCent.Data() << endl;
fLog << collisionSystem.Data() << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
cout << "creating outpur dir: " << outputDir.Data() << endl;
gSystem->Exec("mkdir -p "+outputDir);
gSystem->Exec("mkdir -p "+outputDir+"/sys");
gSystem->Exec("mkdir -p "+outputDir+"/corrFactors");
gSystem->Exec("mkdir -p "+outputDir+"/corrPlotting");
gSystem->Exec(Form("cp %s %s/%s_%s_%s_mode%s.config", fileInput.Data(), outputDir.Data(), meson.Data(), combMode.Data(), fCollisionSystemAndCent.Data(), modeOutput.Data()));
cout << "running combination mode: " << combMode.Data() << endl;
fLog << "running combination mode: " << combMode.Data() << endl;
if(combMode.CompareTo("triggers") && combMode.CompareTo("systems")){ cout << "ERROR in line '" << __LINE__ << "' combMode can only be 'triggers' or 'systems', returning..."<< endl; return;}
Int_t nMeasTot = 0; // number of measurements
vector<TString> vecComb; // vector with names of measurements
vector<TString> vecSysFiles; // vector with names of sytematics files for measurements
vector<Int_t> vecNBinsPt; // vector with number of pT bins for measurements
vector<Double_t> vecUseMinPt; // vector with minimum pT for measurements
vector<Double_t> vecUseMaxPt; // vector with maximum pT for measurements
//---------------------------------------------------------------------------------------------------------------
//--------------------------------- read config file
//---------------------------------------------------------------------------------------------------------------
cout << "reading input file" << endl;
// reading how many measurements should be considered
ifstream in(fileInput.Data());
in >> nMeasTot;
cout << Form("number of %s available: ",combMode.Data()) << nMeasTot << "\n" << endl;
fLog << Form("number of %s available: ",combMode.Data()) << nMeasTot << "\n" << endl;
if(nMeasTot<1){ cout << "ERROR in line '" << __LINE__ << "', returning..."<< endl; return;}
// reading measurement considered for correlations
for(Int_t iMeas=0; iMeas<nMeasTot; iMeas++) {
TString temp = "";
TString tempSysFile = "";
Int_t nBinsTemp = 0;
Double_t minTemp = 0;
Double_t maxTemp = 0;
// format in file should be:
// name meas \t number of bins \t minimum pt \t maximum pt \t sytematics file \n
in >> temp >> nBinsTemp >> minTemp >> maxTemp >> tempSysFile;
if(!temp.IsNull() && !tempSysFile.IsNull() && nBinsTemp > 0 && minTemp > 0 && maxTemp > 0){
vecComb.push_back(temp);
vecSysFiles.push_back(tempSysFile);
vecNBinsPt.push_back(nBinsTemp);
vecUseMinPt.push_back(minTemp);
vecUseMaxPt.push_back(maxTemp);
TObjArray *rToken = tempSysFile.Tokenize("/");
TObjString *rString = (TObjString*)rToken->At(rToken->GetLast());
gSystem->Exec(Form("cp %s %s/sys/%s", tempSysFile.Data(), outputDir.Data(), ((TString)rString->GetString()).Data()));
fLog << "read: " << temp.Data() << ", " << minTemp << ", " << maxTemp << ", " << tempSysFile.Data() << endl;
}else{ cout << "ERROR in line '" << __LINE__ << "', returning..."<< endl; return;}
}
fLog << endl;
vector<TString>** corrName = new vector<TString>*[nMeasTot]; // nMeasTot x nMeasTot matrix with names for the measurements
vector<TString>** corr = new vector<TString>*[nMeasTot]; // nMeasTot x nMeasTot matrix with correlated fraction for the measurements as strings
vector<Double_t> **corrFactorsBins = new vector<Double_t>*[nMeasTot]; // nMeasTot x nMeasTot matrix with pt values
vector<Double_t> **corrFactors = new vector<Double_t>*[nMeasTot]; // nMeasTot x nMeasTot matrix with rho_AB's
for(Int_t iMeas=0; iMeas<nMeasTot; iMeas++){
corrName[iMeas] = new vector<TString>[nMeasTot];
corr[iMeas] = new vector<TString>[nMeasTot];
corrFactorsBins[iMeas] = new vector<Double_t>[nMeasTot];
corrFactors[iMeas] = new vector<Double_t>[nMeasTot];
}
// reading assumed correlation settings
while(!in.eof()){
TString tempA = ""; TString tempB = ""; TString tempC = ""; TString tempD = "";
// format in the file should be:
// name meas A \t name meas B \t name systematics component X \t uncorrelated error X in meas A with respect to B \n
// if last value given with % at the end:
// => will calculate relative error for each pt bin
// => ranges from 0% - 100% , 0% meaning they are treated as fully correlated, 100% meaning they are treated as fully uncorrelated,
// if last value given without % at the end:
// => absolute error according to that number is taken out of total error for meas A with respect to B
in >> tempA >> tempB >> tempC >> tempD;
cout << "tempA " << tempA << " tempB " << tempB << " tempC " << tempC << " tempD " << tempD << endl;
if(!tempA.IsNull() && !tempB.IsNull() && !tempC.IsNull() && !tempD.IsNull()){
corrName[GetPosInVec(vecComb,tempA)][GetPosInVec(vecComb,tempB)].push_back(tempC);
corr [GetPosInVec(vecComb,tempA)][GetPosInVec(vecComb,tempB)].push_back(tempD);
}
}
in.close();
//---------------------------------------------------------------------------------------------------------------
//--------------------------------- read detailed systematics for each input
//---------------------------------------------------------------------------------------------------------------
// nMeasTot x nPtbins x nError sources matrix of names of systematics
// ptSys[iMeas][iPt].push_back(iESource)
// if (iPt > 0 && iESource == 0) ptSys[iMeas][iPt].push_back(0) = pTValue for iMeas's measurement
// if (iPt == 0 && iESource > 0) ptSys[iMeas][0].push_back(iESource) = name of iESource's error for iMeas's measurement
// if (iPt > 0 && iESource > 0) ptSys[iMeas][iPt].push_back(iESource) = error for iMeas's measurement for iESource's at ptSys[iMeas][iPt].push_back(0)
vector<TString>** ptSys = new vector<TString>*[nMeasTot];
for(Int_t iMeas=0; iMeas<nMeasTot; iMeas++)
ptSys[iMeas] = new vector<TString>[vecNBinsPt.at(iMeas)+1];
// loop over all measurements with respective systematics files
for(Int_t iMeas=0; iMeas<nMeasTot; iMeas++){
ifstream fileSysErr;
fileSysErr.open(vecSysFiles.at(iMeas).Data(),ios_base::in);
cout << "opening: " << vecSysFiles.at(iMeas).Data() << endl;
fLog << "opening: " << vecSysFiles.at(iMeas).Data() << endl;
Int_t iPt = 0;
string line;
while (getline(fileSysErr, line) && iPt < 100) {
istringstream ss(line);
TString temp = "";
TString tempBin = "";
Int_t iESource = 0;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "\t*** reading line " << iPt << " ***" << endl;
while(ss && iESource < 100){
ss >> temp;
if(iPt > 0 && iESource == 0){
tempBin = temp;
if( !tempBin.IsNull() && (tempBin.Atof() < vecUseMinPt.at(iMeas) || tempBin.Atof() > vecUseMaxPt.at(iMeas)) ){
cout << "INFO: skipping pT " << tempBin.Atof() << ", outside of specified interval of " << vecUseMinPt.at(iMeas) << "-" << vecUseMaxPt.at(iMeas) << endl;
break;
}
}
if( !(iPt==0 && temp.CompareTo("bin")==0) && !temp.IsNull() && iPt < (vecNBinsPt.at(iMeas)+1)){
ptSys[iMeas][iPt].push_back(temp);
fLog << temp.Data() << ", ";
iESource++;
}
}
if(iPt == 0){
ptSys[iMeas][iPt++].push_back("TotalError");
fLog << "TotalError";
iESource++;
} else if(!tempBin.IsNull() && (tempBin.Atof() >= vecUseMinPt.at(iMeas) && tempBin.Atof() <= vecUseMaxPt.at(iMeas)))
iPt++;
fLog << "\n\t***" << iESource << " columns read ***" << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n" << endl;
}
vecNBinsPt.at(iMeas) = --iPt;
cout << "\t---" << vecNBinsPt.at(iMeas)+1 << " pT bins read ---" << endl;
fLog << "\t---" << vecNBinsPt.at(iMeas)+1 << " pT bins read ---" << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
if(iPt < 1){
cout << "ERROR: read " << vecNBinsPt.at(iMeas)+1<< " pT-bins, returning!" << endl;
fLog << "ERROR: read " << vecNBinsPt.at(iMeas)+1 << " pT-bins, returning!" << endl;
return;
}
fileSysErr.close();
}
//---------------------------------------------------------------------------------------------------------------
//-------------------------------- Define variable for plotting -------------------------------------------------
//---------------------------------------------------------------------------------------------------------------
Int_t textSizeLabelsPixel = 900*0.04;
// canvas
TCanvas* canvasWeights = new TCanvas("canvasWeights","",200,10,1350,900); // gives the page size
DrawGammaCanvasSettings( canvasWeights, 0.07, 0.005, 0.05, 0.09);
canvasWeights->SetLogx();
Int_t plotErr = 0;
TH2F * histo2DPi0Weights = NULL;
Double_t minCorrYaxis = 0.45;
Double_t maxCorrYaxis = 1.05;
if(combMode.CompareTo("systems") == 0 && energy.Contains("pPb_5.023TeV") && !meson.Contains("Gamma")){
minCorrYaxis = 0.0;
} else if(combMode.CompareTo("systems") == 0 && (energy.Contains("pPb_5.023TeV") || energy.CompareTo("2.76TeV") == 0 || energy.BeginsWith("8TeV")) && meson.Contains("Gamma") && !isStatCorr){
minCorrYaxis = 0.005;
maxCorrYaxis = 1.5;
canvasWeights->SetLogy();
} else if( combMode.CompareTo("systems") == 0 && (energy.Contains("pPb_5.023TeV") || energy.CompareTo("2.76TeV") == 0 || energy.BeginsWith("8TeV")) &&
(( meson.Contains("RGamma") || meson.Contains("IncGammaToPi0")) && isStatCorr ) ){
minCorrYaxis = 0.005;
maxCorrYaxis = 1.05;
}else if(combMode.CompareTo("systems") == 0 ){
minCorrYaxis = 0.01;
if(mode >= 40 && mode <= 45){
minCorrYaxis = 0.2;
maxCorrYaxis = 0.82;
}
} else if (combMode.CompareTo("triggers") == 0 && (energy.CompareTo("2.76TeV") == 0 || energy.Contains("5TeV2017") )&& ( mode == 2 || mode == 4 || mode == 5) ){
minCorrYaxis = 0.15;
}
Double_t maxPt = 0;
for (Int_t iMeas = 0; iMeas < nMeasTot; iMeas++){
if (maxPt < vecUseMaxPt.at(iMeas))
maxPt = vecUseMaxPt.at(iMeas);
}
maxPt = maxPt*1.2;
Double_t minPt = 10000;
for (Int_t iMeas = 0; iMeas < nMeasTot; iMeas++){
if (minPt > vecUseMinPt.at(iMeas))
minPt = vecUseMinPt.at(iMeas);
}
// dummy hist
histo2DPi0Weights = new TH2F("histo2DPi0Weights","histo2DPi0Weights",11000,minPt,maxPt,1000,minCorrYaxis,maxCorrYaxis);
SetStyleHistoTH2ForGraphs(histo2DPi0Weights, "#it{p}_{T} (GeV/#it{c})","#rho_{ij}",0.04,0.045, 0.04,0.045, 0.85,0.73);
histo2DPi0Weights->GetXaxis()->SetMoreLogLabels();
histo2DPi0Weights->GetXaxis()->SetLabelOffset(-0.01);
histo2DPi0Weights->Draw("copy");
Int_t nRowsLabels = 2;
if (modeOutput.CompareTo("Systems") != 0)
nRowsLabels++;
// labels
TLatex *labelWeightsEnergy = new TLatex(0.95,0.14+((nRowsLabels-1)*0.05),collisionSystem.Data());
SetStyleTLatex( labelWeightsEnergy, textSizeLabelsPixel,4);
labelWeightsEnergy->SetTextFont(43);
labelWeightsEnergy->SetTextAlign(31);
labelWeightsEnergy->Draw();
TLatex *labelWeightsPi0 = 0x0;
if(meson.CompareTo("Pi0EtaBinning") == 0 || meson.CompareTo("EtaToPi0") == 0 || meson.Contains("Gamma") )
labelWeightsPi0 = new TLatex(0.95,0.14+((nRowsLabels-2)*0.05),Form("%s",mesonPlot.Data()));
else if(mode >= 40 && mode <= 45)
labelWeightsPi0 = new TLatex(0.95,0.14+((nRowsLabels-2)*0.05),Form("%s #rightarrow #pi^{+}#pi^{-}#pi^{0}",mesonPlot.Data()));
else
labelWeightsPi0 = new TLatex(0.95,0.14+((nRowsLabels-2)*0.05),Form("%s #rightarrow #gamma#gamma",mesonPlot.Data()));
SetStyleTLatex( labelWeightsPi0, textSizeLabelsPixel,4);
labelWeightsPi0->SetTextFont(43);
labelWeightsPi0->SetTextAlign(31);
labelWeightsPi0->Draw();
TLatex *labelWeightsDetectionProcess = new TLatex(0.95,0.14,detectionProcess.Data());
SetStyleTLatex( labelWeightsDetectionProcess, textSizeLabelsPixel,4);
labelWeightsDetectionProcess->SetTextFont(43);
labelWeightsDetectionProcess->SetTextAlign(31);
if (modeOutput.CompareTo("Systems") != 0)
labelWeightsDetectionProcess->Draw();
// colors, markers
Color_t colorTrigg[30] = { kBlack, kGray+1, kRed+2, kBlue+2, kGreen+3, kCyan+2, kViolet+1, kMagenta+2, kRed-2, kBlue-2,
807, kAzure+2, kGreen-2, kMagenta-2, kYellow+2, kAzure-5, kPink-2, kCyan-5, kRed-2, kBlue-2,
kBlack, kGray+1, kRed+2, kBlue+2, kGreen+3, kCyan+2, kViolet, kMagenta+2, kRed-2, kBlue-2 };
Marker_t markerTrigg[30] = { 20, 24, 21, 34, 29, 33, 21, 27, 28, 30,
24, 25, 20, 21, 34, 29, 33, 21, 27, 28,
30, 24, 25, 20, 21, 34, 29, 33, 21, 27 };
Int_t iTrigg = 0;
Int_t iColumnsLegend = 1;
// legend
Int_t maxNLegendColumn = 4;
TLegend* legendWeights = GetAndSetLegend2(0.11, 0.11, 0.42, 0.1+(0.04*maxNLegendColumn), textSizeLabelsPixel);
legendWeights->SetMargin(0.15);
TLegend* legendWeightsTop = GetAndSetLegend2(0.055, 0.95, 0.995, 0.995, textSizeLabelsPixel, nMeasTot+1, "", 43, 0.02);
legendWeightsTop->AddEntry((TObject*)0, "i,j:","");
//---------------------------------------------------------------------------------------------------------------
//--------------------------------- calculate correlation factors
//---------------------------------------------------------------------------------------------------------------
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n" << endl;
fstream fCorr;
if (!isStatCorr)
fCorr.open(Form("%s/corrFactors/%s_%s_%s_mode%s.log",outputDir.Data(),meson.Data(),combMode.Data(),fCollisionSystemAndCent.Data(),modeOutput.Data()), ios::out);
else
fCorr.open(Form("%s/corrFactors/%s_%s_Stat_%s_mode%s.log",outputDir.Data(),meson.Data(),combMode.Data(),fCollisionSystemAndCent.Data(),modeOutput.Data()), ios::out);
TFile *fOutput = new TFile(Form("%s/%s.root",outputDir.Data(),fCollisionSystemWrite.Data()),"UPDATE");
if (centrality.CompareTo("") != 0){
TDirectoryFile* directoryCentOut = NULL;
directoryCentOut = (TDirectoryFile*)fOutput->Get(centralityForOutput.Data());
if (!directoryCentOut){
fOutput->mkdir(centralityForOutput.Data());
directoryCentOut = (TDirectoryFile*)fOutput->Get(centralityForOutput.Data());
}
fOutput->cd(centralityForOutput.Data());
}
// Calculate rho_AB for A = iMeasA and B = iMeasB
for(Int_t iMeasA=0; iMeasA<nMeasTot; iMeasA++){
for(Int_t iMeasB=0; iMeasB<nMeasTot; iMeasB++){
// don't calculate it for the correlation with itself
if (iMeasA == 0){
legendWeightsTop->AddEntry((TObject*)0, Form("%d-%s",iMeasB,vecComb.at(iMeasB).Data()),"");
}
if(iMeasA==iMeasB) continue;
Int_t commonBins = 0;
Int_t iPtA = 1;
Int_t iPtB = 1;
Double_t pTA = -1;
Double_t pTB = -1;
Double_t factor = 0;
TString tempCorr = "";
TString tempPlot = "";
if(iMeasA<iMeasB){
tempCorr = Form("%s_%s-%s",vecComb.at(iMeasA).Data(),vecComb.at(iMeasA).Data(),vecComb.at(iMeasB).Data());
tempPlot = Form("i=%d,j=%d",iMeasA,iMeasB);
cout << "\n\n\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
cout << "correlation factors " << vecComb.at(iMeasA) << "_" << vecComb.at(iMeasA) << "-" << vecComb.at(iMeasB) << endl;
cout << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "\n\n\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "correlation factors " << vecComb.at(iMeasA) << "_" << vecComb.at(iMeasA) << "-" << vecComb.at(iMeasB) << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
}else{
tempCorr = Form("%s_%s-%s",vecComb.at(iMeasA).Data(),vecComb.at(iMeasB).Data(),vecComb.at(iMeasA).Data());
tempPlot = Form("i=%d,j=%d",iMeasA,iMeasB);
cout << "\n\n\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
cout << "correlation factors " << vecComb.at(iMeasA) << "_" << vecComb.at(iMeasB) << "-" << vecComb.at(iMeasA) << endl;
cout << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "\n\n\n++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "correlation factors " << vecComb.at(iMeasA) << "_" << vecComb.at(iMeasB) << "-" << vecComb.at(iMeasA) << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
}
fCorr << endl;
fCorr << tempCorr.Data() << endl;
// create correlations histogram
TH1F* histoCorr = new TH1F(Form("%s_%s_%s",modeOutput.Data(),meson.Data(),tempCorr.Data()),Form("%s_%s_%s",modeOutput.Data(),meson.Data(),tempCorr.Data()),2000,-0.025,100-0.025);
// set all bin 0 for correlations histogram
for(Int_t iBin=1; iBin<histoCorr->GetNbinsX()+1; iBin++)
histoCorr->SetBinContent(iBin,0.);
for(;; iPtA++, iPtB++){
cout << "iPtA = " << iPtA << "\t iPtB = " << iPtB << endl;
// check if bin count goes above defined value in config for both measurements
if( iPtA == vecNBinsPt.at(iMeasA)+1 || iPtB == vecNBinsPt.at(iMeasB)+1 ) break;
// get pt values at beginning
pTA = ((TString)ptSys[iMeasA][iPtA].at(0)).Atof();
pTB = ((TString)ptSys[iMeasB][iPtB].at(0)).Atof();
// find overlapping bin
if( iPtA < vecNBinsPt.at(iMeasA) && iPtB < vecNBinsPt.at(iMeasB) ){
do {
cout << "pTA = " << pTA << "\t pTB = " << pTB << endl;
// increase bin for measurement A if pT meas A < pT meas B
if(pTA < pTB){
if( iPtA == vecNBinsPt.at(iMeasA) ) break;
pTA = ((TString)ptSys[iMeasA][++iPtA].at(0)).Atof();
// increase bin for measurement B if pT meas B < pT meas C
}else if(pTB < pTA){
if( iPtB == vecNBinsPt.at(iMeasB) ) break;
pTB = ((TString)ptSys[iMeasB][++iPtB].at(0)).Atof();
}
// continue doing this until no bins are left
} while (pTA!=pTB && iPtA <= vecNBinsPt.at(iMeasA) && iPtB <= vecNBinsPt.at(iMeasB));
}
cout << "pTA = " << pTA << "\t pTB = " << pTB << endl;
if( pTA!=pTB ) break;
// increase number of common bins
commonBins++;
cout << "\n\t---------- pT: " << pTA << " ----------" << endl;
fLog << "\n\t---------- pT: " << pTA << " ----------" << endl;
if( (Int_t) corrName[iMeasA][iMeasB].size() > 0){
// get total error for measurement A at ptBin = iPtA
cout << "iMeasA = " << iMeasA << " iPtA = << " << iPtA << " GetPosInVec(ptSys[iMeasA][0] = " << GetPosInVec(ptSys[iMeasA][0],"TotalError") << endl;
cout << "size ptSys[iMeasA][iPtA] = " << ptSys[iMeasA][iPtA].size() << endl;
Double_t totalErr = ((TString)ptSys[iMeasA][iPtA].at(GetPosInVec(ptSys[iMeasA][0],"TotalError"))).Atof();
cout << vecComb.at(iMeasA) << " totErr: " << totalErr << endl;
fLog << vecComb.at(iMeasA) << " totErr: " << totalErr << endl;
Double_t unCorrErr = 0; // uncorrelated error with respect to measurement B
// run through the array given for the respective measurement combination
for(Int_t iSourceUnCorr=0; iSourceUnCorr<(Int_t) corrName[iMeasA][iMeasB].size(); iSourceUnCorr++){
TString tempName = corrName[iMeasA][iMeasB].at(iSourceUnCorr);
TString tempD = corr[iMeasA][iMeasB].at(iSourceUnCorr);
// get error for respective source of measurement A
Double_t tempUnCorrErr = ((TString)ptSys[iMeasA][iPtA].at(GetPosInVec(ptSys[iMeasA][0],tempName))).Atof();
Double_t tempErr = 0;
// if tempD contains % at end calculate relative error in pt based on fraction given
if(tempD.Contains("%")){
tempD.Resize(tempD.Length()-1);
tempErr = tempUnCorrErr*tempD.Atof()/100.;
// if tempD does not contain %, take out given value from total error
} else
tempErr = tempD.Atof();
unCorrErr += tempErr*tempErr;
cout << corrName[iMeasA][iMeasB].at(iSourceUnCorr) << "(" << tempUnCorrErr << "), unCorrErr: " << tempErr << endl;
fLog << corrName[iMeasA][iMeasB].at(iSourceUnCorr) << "(" << tempUnCorrErr << "), unCorrErr: " << tempErr << endl;
}
// calculate rho_AB at respective pTA
factor = sqrt(totalErr*totalErr-unCorrErr)/totalErr;
if ( TMath::IsNaN(factor)) factor = 0;
if ( !TMath::Finite(factor)) factor = 0;
}
// set pt values and correlation factors rho_AB
corrFactorsBins[iMeasA][iMeasB].push_back(pTA);
corrFactors[iMeasA][iMeasB].push_back(factor);
cout << "\n\t|-----------" << endl;
cout << "\t|corrFactor:\t" << factor << "|" << endl;
cout << "\t|------------" << endl;
fLog << "\n\t|------------" << endl;
fLog << "\n\tcorrFactor:\t" << factor << "|" << endl;
fLog << "\t|------------" << endl;
fCorr << pTA << " \t-\t " << factor << endl;
histoCorr->SetBinContent(histoCorr->FindBin(pTA),factor);
if(factor>0 && factor<=plotErr){
cout << "\n\n\tWARNING: point out of range (" << factor << ") for generated plots, please adjust y-range of histograms!!!\n\n" << endl;
fLog << "\n\n\tWARNING: point out of range (" << factor << ") for generated plots, please adjust y-range of histograms!!!\n\n" << endl;
plotErr++;
}
}
cout << commonBins << endl;
// plot if there are overlapping bins among the triggers and they are not completely uncorrelated
if (commonBins > 0 && histoCorr->GetMaximum() > 0 ){
histoCorr->SetMarkerSize(2.);
histoCorr->SetMarkerColor(colorTrigg[iTrigg]);
histoCorr->SetMarkerStyle(markerTrigg[iTrigg]);
if (iTrigg > maxNLegendColumn) iColumnsLegend = 2;
if (iTrigg > 2*maxNLegendColumn) iColumnsLegend = 3;
if (iTrigg > 3*maxNLegendColumn) iColumnsLegend = 4;
if (iTrigg > 4*maxNLegendColumn) iColumnsLegend = 5;
iTrigg++;
histoCorr->Draw("p,same");
legendWeights->SetNColumns(iColumnsLegend);
legendWeights->AddEntry(histoCorr,tempPlot.Data(),"p");
} else {
cout << "not plotting " << tempCorr.Data() << ", no correlation factors different from 0 found!" << endl;
}
// write to output
if (!isStatCorr)
histoCorr->Write(Form("%s_%s_%s",modeOutput.Data(),meson.Data(),tempCorr.Data()),TObject::kOverwrite);
else
histoCorr->Write(Form("%s_Stat_%s_%s",modeOutput.Data(),meson.Data(),tempCorr.Data()),TObject::kOverwrite);
}
}
legendWeights->SetX2(0.11+0.10*iColumnsLegend);
if(iTrigg+1 < maxNLegendColumn)
legendWeights->SetY2(0.1+(0.035*iTrigg));
legendWeightsTop->Draw();
legendWeights->Draw();
canvasWeights->RedrawAxis();
labelWeightsEnergy->Draw();
labelWeightsPi0->Draw();
DrawGammaLines(minPt,maxPt, 1., 1.,0.1, kGray, 1);
if (!meson.Contains("Gamma")){
DrawGammaLines(minPt,maxPt, 0.98, 0.98,0.1, kGray, 3);
DrawGammaLines(minPt,maxPt, 0.96, 0.96,0.1, kGray, 7);
DrawGammaLines(minPt,maxPt, 0.94, 0.94,0.1, kGray, 3);
DrawGammaLines(minPt,maxPt, 0.92, 0.92,0.1, kGray, 7);
} else if (!isStatCorr) {
DrawGammaLines(minPt,maxPt, 0.1, 0.1,0.1, kGray, 3);
}
DrawGammaLines(minPt,maxPt, 0.9, 0.9,0.1, kGray, 1);
DrawGammaLines(minPt,maxPt, 0.8, 0.8,0.1, kGray, 3);
DrawGammaLines(minPt,maxPt, 0.7, 0.7,0.1, kGray, 7);
if(mode >= 40 && mode <= 45){
DrawGammaLines(minPt,maxPt, 0.6, 0.6,0.1, kGray, 1);
DrawGammaLines(minPt,maxPt, 0.5, 0.5,0.1, kGray, 3);
}
if (!isStatCorr)
canvasWeights->SaveAs(Form("%s/corrPlotting/%s_%s_%s_corrFactors.%s",outputDir.Data(),fCollisionSystemAndCent.Data(),modeOutput.Data(),meson.Data(),suffix.Data()));
else
canvasWeights->SaveAs(Form("%s/corrPlotting/%s_%s_Stat_%s_corrFactors.%s",outputDir.Data(),fCollisionSystemAndCent.Data(),modeOutput.Data(),meson.Data(),suffix.Data()));
if(plotErr>0){
cout << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
cout << "\n\t|-----------" << endl;
cout << "\t|total plotting errors:\t" << plotErr << "| -> adjust y-range in ComputeCorrelationFactors!" << endl;
cout << "\t|------------" << endl;
fLog << "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" << endl;
fLog << "\n\t|------------" << endl;
fLog << "\n\ttotal plotting errors:\t" << plotErr << "| -> adjust y-range in ComputeCorrelationFactors!" << endl;
fLog << "\t|------------" << endl;
}
fOutput->Write();
fOutput->Close();
fCorr.close();
fLog.close();
return;
}