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Copy pathFinaliseSystematicErrorsCalo_pp8TeV.C
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FinaliseSystematicErrorsCalo_pp8TeV.C
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#include <Riostream.h>
#include <fstream>
#include "TMath.h"
#include <stdlib.h>
#include <fstream>
#include <math.h>
#include <TROOT.h>
#include <TApplication.h>
#include <TPaveLabel.h>
#include <TSystem.h>
#include <TFrame.h>
#include <TStyle.h>
#include <TString.h>
#include "TGaxis.h"
#include "TFile.h"
#include "TH1F.h"
#include "TH1D.h"
#include "TH2F.h"
#include "TF1.h"
#include "TVirtualFitter.h"
#include "TObject.h"
#include "TCanvas.h"
#include "TMultiGraph.h"
#include "TLegend.h"
#include "TDatabasePDG.h"
#include "TMinuit.h"
#include "TBenchmark.h"
#include "TRandom.h"
#include "TLatex.h"
#include "TASImage.h"
#include "TPostScript.h"
#include "TGraphErrors.h"
#include "TArrow.h"
#include "TGraphAsymmErrors.h"
#include "TGaxis.h"
#include "TMarker.h"
#include "CommonHeaders/PlottingGammaConversionHistos.h"
#include "CommonHeaders/PlottingGammaConversionAdditional.h"
#include "CommonHeaders/FittingGammaConversion.h"
#include "CommonHeaders/ConversionFunctionsBasicsAndLabeling.h"
#include "CommonHeaders/ConversionFunctions.h"
void FinaliseSystematicErrorsCalo_pp8TeV( const char* nameDataFileErrors = "",
TString energy = "",
TString meson = "",
Int_t numberOfPtBins = 1,
Int_t numberCutStudies = 1,
Double_t startPtSys = 0,
TString additionalName = "pp",
TString additionalNameOutput = "",
TString suffix = "eps"
){
// ***************************************************************************************************
// ****************************** General style settings *********************************************
// ***************************************************************************************************
StyleSettingsThesis();
SetPlotStyle();
// ***************************************************************************************************
// ****************************** Create output directory ********************************************
// ***************************************************************************************************
gSystem->Exec("mkdir -p SystematicErrorsCalculatedCalo");
// ***************************************************************************************************
// ***************************** labeling and color settings *****************************************
// ***************************************************************************************************
TString date = ReturnDateString();
TString dateForOutput = ReturnDateStringForOutput();
TString collisionSystem = ReturnFullCollisionsSystem(energy);
TString energyForOutput = energy;
energyForOutput.ReplaceAll(".","_");
// ***************************************************************************************************
// ******************************* general variable definition **************************************
// ***************************************************************************************************
const Int_t nPtBins = numberOfPtBins;
const Int_t nCuts = numberCutStudies;
Double_t* ptBins = 0x0;
Double_t* ptBinsErr = 0x0;
const Int_t nMaxVar = 16;
TString nameCutVariation[nMaxVar];
TString nameCutVariationSC[nMaxVar];
TString nameCutVariationSC8TeV[nMaxVar] = { "YieldExtraction", "OpeningAngle", "ClusterMinEnergy", "ClusterNCells", "ClusterNonLinearity",
"ClusterTrackMatchingCalo", "ClusterM02","ClusterMaterialTRD", "ClusterEnergyScale" , "CellTiming",
"Trigger", "Efficiency", "ClusterTime", "ClusterizationEnergy", "Secondary",
"YieldExtractionPi0"};
Color_t color[nMaxVar];
Color_t markerStyle[nMaxVar];
for (Int_t k =0; k<nMaxVar; k++ ){
color[k] = GetColorSystematics( nameCutVariationSC8TeV[k], 4 );
markerStyle[k] = GetMarkerStyleSystematics( nameCutVariationSC8TeV[k], 4 );
}
for (Int_t i = 0; i < numberCutStudies; i++){
nameCutVariation[i] = GetSystematicsName(nameCutVariationSC8TeV[i]);
nameCutVariationSC[i] = nameCutVariationSC8TeV[i];
}
if (meson.CompareTo("Pi0EtaBinning") == 0){
nameCutVariation[0] = "Yield extraction #eta";
}
// ***************************************************************************************************
// ******************************** Booleans for smoothing *******************************************
// ***************************************************************************************************
Bool_t bsmooth[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothMBPi0[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothMBEta[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothMBPi0EtaBinning[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1};
Bool_t bsmoothEMC7Pi0[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothEMC7Eta[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothEMC7Pi0EtaBinning[nMaxVar]= { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1};
Bool_t bsmoothEGAPi0[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothEGAEta[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
0};
Bool_t bsmoothEGAPi0EtaBinning[nMaxVar] = { 1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1};
for (Int_t i = 0; i < numberCutStudies; i++){
if (additionalNameOutput.CompareTo("") == 0 && meson.CompareTo("Pi0")==0){
bsmooth[i] = bsmoothMBPi0[i];
} else if (additionalNameOutput.CompareTo("EMC7") == 0 && meson.CompareTo("Pi0")==0){
bsmooth[i] = bsmoothEMC7Pi0[i];
} else if (additionalNameOutput.CompareTo("EGA") == 0 && meson.CompareTo("Pi0")==0){
bsmooth[i] = bsmoothEGAPi0[i];
} else if (additionalNameOutput.CompareTo("") == 0 && meson.CompareTo("Eta")==0){
bsmooth[i] = bsmoothMBEta[i];
} else if (additionalNameOutput.CompareTo("EMC7") == 0 && meson.CompareTo("Eta")==0){
bsmooth[i] = bsmoothEMC7Eta[i];
} else if (additionalNameOutput.CompareTo("EGA") == 0 && meson.CompareTo("Eta")==0){
bsmooth[i] = bsmoothEGAEta[i];
} else if (additionalNameOutput.CompareTo("") == 0 && meson.CompareTo("Pi0EtaBinning")==0){
bsmooth[i] = bsmoothMBPi0EtaBinning[i];
} else if (additionalNameOutput.CompareTo("EMC7") == 0 && meson.CompareTo("Pi0EtaBinning")==0){
bsmooth[i] = bsmoothEMC7Pi0EtaBinning[i];
} else if (additionalNameOutput.CompareTo("EGA") == 0 && meson.CompareTo("Pi0EtaBinning")==0){
bsmooth[i] = bsmoothEGAPi0EtaBinning[i];
}
}
// ***************************************************************************************************
// ****************************** Initialize error vectors & graphs **********************************
// ***************************************************************************************************
Double_t* errorsNeg [nCuts];
Double_t errorsNegCorr [nCuts][nPtBins];
Double_t errorsNegSummed [nPtBins];
Double_t errorsNegCorrSummed [nPtBins];
Double_t errorsNegCorrMatSummed [nPtBins];
Double_t* errorsNegErr [nCuts];
Double_t errorsNegErrCorr [nCuts][nPtBins];
Double_t errorsNegErrSummed [nPtBins];
Double_t errorsNegErrCorrSummed [nPtBins];
Double_t* errorsPos [nCuts];
Double_t errorsPosCorr [nCuts][nPtBins];
Double_t errorsPosSummed [nPtBins];
Double_t errorsPosCorrSummed [nPtBins];
Double_t errorsPosCorrMatSummed [nPtBins];
Double_t* errorsPosErr [nCuts];
Double_t errorsPosErrSummed [nPtBins];
Double_t errorsPosErrCorr [nCuts][nPtBins];
Double_t errorsPosErrCorrSummed [nPtBins];
Double_t errorsMean [nCuts][nPtBins];
Double_t errorsMeanCorr [nCuts][nPtBins];
Double_t errorsMeanSummed [nPtBins];
Double_t errorsMeanCorrSummed [nPtBins];
Double_t errorsMeanCorrMatSummed [nPtBins];
Double_t errorsMeanErr [nCuts][nPtBins];
Double_t errorsMeanErrCorr [nCuts][nPtBins];
Double_t errorsMeanErrSummed [nPtBins];
Double_t errorsMeanErrCorrSummed [nPtBins];
Double_t errorsMeanErrCorrMatSummed [nPtBins];
TGraphErrors* negativeErrors [nCuts];
TGraphErrors* positiveErrors [nCuts];
TGraphErrors* negativeErrorsCorr [nCuts];
TGraphErrors* positiveErrorsCorr [nCuts];
TGraphErrors* meanErrors [nCuts];
TGraphErrors* meanErrorsCorr [nCuts];
TGraphErrors* negativeErrorsSummed;
TGraphErrors* positiveErrorsSummed;
TGraphErrors* negativeErrorsCorrSummed;
TGraphErrors* positiveErrorsCorrSummed;
TGraphErrors* meanErrorsSummed;
TGraphErrors* meanErrorsCorrSummed;
TGraphErrors* meanErrorsCorrSummedIncMat;
for (Int_t l = 0;l < nPtBins;l++){
errorsPosSummed[l] = 0.;
errorsNegSummed[l] = 0.;
errorsMeanSummed[l] = 0.;
errorsPosCorrSummed[l] = 0.;
errorsNegCorrSummed[l] = 0.;
errorsMeanCorrSummed[l] = 0.;
}
// ***************************************************************************************************
// ****************************** Read & process data from file **************************************
// ***************************************************************************************************
TFile* fileErrorInput= new TFile(nameDataFileErrors);
TString sFilePi0EtaBinning = "~/data/work/pcgGit/AnalysisSoftware/8TeV_CaloSystematics/CutStudies/8TeV/Eta_data_SystematicErrorCuts.root";
if(additionalNameOutput.CompareTo("EMC7")==0) sFilePi0EtaBinning="~/data/work/pcgGit/AnalysisSoftware/8TeV_CaloSystematicsEMC7/CutStudies/8TeV/Eta_data_SystematicErrorCuts.root";
else if(additionalNameOutput.CompareTo("EGA")==0) sFilePi0EtaBinning="~/data/work/pcgGit/AnalysisSoftware/8TeV_CaloSystematicsEGA/CutStudies/8TeV/Eta_data_SystematicErrorCuts.root";
TFile* filePi0EtaBinning=new TFile(sFilePi0EtaBinning);
for (Int_t i = 0;i < nCuts;i++){
// read data
TGraphAsymmErrors* graphPosErrors;
TGraphAsymmErrors* graphNegErrors;
//if(i>=0){
if (i == 0 || i == 8 || i == 10 || i == 11 || i == 15 || (i == 13 && (additionalNameOutput.CompareTo("EMC7") == 0 || additionalNameOutput.CompareTo("EGA") == 0) ) || (i == 9 && (additionalNameOutput.CompareTo("EMC7") == 0 || additionalNameOutput.CompareTo("EGA") == 0 || meson.CompareTo("Pi0EtaBinning") == 0))){// special treatment for Yield extraction error and calculated erros
TString nameGraphPos = "";
TString nameGraphNeg = "";
if ( meson.CompareTo("Pi0EtaBinning") != 0 ){
nameGraphPos = Form("%s_SystErrorRelPos_YieldExtraction_%s",meson.Data(),additionalName.Data() );
nameGraphNeg = Form("%s_SystErrorRelNeg_YieldExtraction_%s",meson.Data(),additionalName.Data() );
} else {
nameGraphPos = Form("Eta_SystErrorRelPos_YieldExtraction_%s",additionalName.Data() );
nameGraphNeg = Form("Eta_SystErrorRelNeg_YieldExtraction_%s",additionalName.Data() );
}
cout << "Cutstudies " << i<< "\t" <<nameGraphPos.Data() << "\t" << nameGraphNeg.Data()<< endl;
if ( meson.CompareTo("Pi0EtaBinning") == 0 ){
graphPosErrors = (TGraphAsymmErrors*)filePi0EtaBinning->Get(nameGraphPos.Data());
graphNegErrors = (TGraphAsymmErrors*)filePi0EtaBinning->Get(nameGraphNeg.Data());
}else{
graphPosErrors = (TGraphAsymmErrors*)fileErrorInput->Get(nameGraphPos.Data());
graphNegErrors = (TGraphAsymmErrors*)fileErrorInput->Get(nameGraphNeg.Data());
}
} else if ( i == 15) { // special treatment for eta to pi0 ratio
TString nameGraphPos = Form("Pi0EtaBinning_SystErrorRelPos_YieldExtraction_%s",additionalName.Data() );
TString nameGraphNeg = Form("Pi0EtaBinning_SystErrorRelNeg_YieldExtraction_%s",additionalName.Data() );
cout << "Cutstudies " << i<< "\t" <<nameGraphPos.Data() << "\t" << nameGraphNeg.Data()<< endl;
graphPosErrors = (TGraphAsymmErrors*)fileErrorInput->Get(nameGraphPos.Data());
graphNegErrors = (TGraphAsymmErrors*)fileErrorInput->Get(nameGraphNeg.Data());
} else {// read graphs from input file
TString nameGraphPos = Form("%s_SystErrorRelPos_%s%s",meson.Data(),nameCutVariationSC[i].Data(),additionalNameOutput.Data() );
TString nameGraphNeg = Form("%s_SystErrorRelNeg_%s%s",meson.Data(),nameCutVariationSC[i].Data(),additionalNameOutput.Data() );
cout << "Cutstudies " << i<< "\t" <<nameGraphPos.Data() << "\t" << nameGraphNeg.Data()<< endl;
graphPosErrors = (TGraphAsymmErrors*)fileErrorInput->Get(nameGraphPos.Data());
graphNegErrors = (TGraphAsymmErrors*)fileErrorInput->Get(nameGraphNeg.Data());
}
// take out offsets
while (graphPosErrors->GetX()[0] < startPtSys){
graphPosErrors->RemovePoint(0);
graphNegErrors->RemovePoint(0);
}
cout << "****************************************************"<< endl;
graphPosErrors->Print();
cout << "****************************************************"<< endl;
cout << "****************************************************"<< endl;
cout << "****************************************************\n\n\n"<< endl;
// Filling arrays
if (i == 0) {
ptBins = graphNegErrors->GetX();
ptBinsErr = graphNegErrors->GetEXhigh();
}
errorsNeg[i] = graphNegErrors->GetY();
errorsNegErr[i] = graphNegErrors->GetEYhigh();
errorsPos[i] = graphPosErrors->GetY();
errorsPosErr[i] = graphPosErrors->GetEYhigh();
cout << nameCutVariationSC[i].Data() << endl;
// Averaging of upper and lower errors
CalculateMeanSysErr(errorsMean[i], errorsMeanErr[i], errorsPos[i], errorsNeg[i], nPtBins);
// Automatic smoothing of 0 bins according to adjoining bins
CorrectSystematicErrorsWithMean(errorsPos[i],errorsPosErr[i], errorsPosCorr[i], errorsPosErrCorr[i], nPtBins);
CorrectSystematicErrorsWithMean(errorsNeg[i],errorsNegErr[i], errorsNegCorr[i], errorsNegErrCorr[i], nPtBins);
CorrectSystematicErrorsWithMean(errorsMean[i], errorsMeanErr[i], errorsMeanCorr[i], errorsMeanErrCorr[i], nPtBins);
// Routing for manual smoothing of systematic errors
// ATTTENTION! you have to do this manually for each data set/trigger never trust the values mentioned here
if (bsmooth[i]){
// manual smoothing for Yield extraction errors - variation 0
if (nameCutVariationSC[i].CompareTo("YieldExtraction") == 0){
cout << "Yield extraction smoothing" << endl;
if ( (meson.CompareTo("Eta") == 0 || (meson.CompareTo("Pi0EtaBinning") == 0) && i == 0) ){
Double_t error = 7.5;
for (Int_t k = 0;k < nPtBins;k++){
error = 7.5;
if(ptBins[k]<=4.) error = 7.35+40/pow(4.,ptBins[k]);
if(ptBins[k]>=8.) error = 12.65 + (-1.2)*ptBins[k] + 0.07*ptBins[k]*ptBins[k];
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
if (additionalNameOutput.CompareTo("EMC7")==0){
for (Int_t k = 0;k < nPtBins;k++){
error = 6.14/pow(1.35,ptBins[k])+4.3;
if(ptBins[k]>=15.) error += (0.0125)*(pow((ptBins[k]-15.),2));
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
} else if(additionalNameOutput.CompareTo("EGA")==0){
for (Int_t k = 0;k < nPtBins;k++){
error = 9.;
if(ptBins[k]>=20.) error += (0.0125)*(pow((ptBins[k]-20.),2));
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
} else if (meson.Contains("Pi0")){
Double_t error = 5.;
for (Int_t k = 0;k < nPtBins;k++){
error = 1.25;
if(ptBins[k]>=6.) error += 0.02*(ptBins[k]-6.)*(ptBins[k]-6.);
if(ptBins[k]<=2.) error += -0.45+45/pow(10.,ptBins[k]);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
if ( additionalNameOutput.CompareTo("EMC7")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
error = 1.65;
if(ptBins[k]<=8.) error = 1.5+40/pow(2.2,ptBins[k]);
if(ptBins[k]>=9.) error = 5.4 + (-0.855)*ptBins[k] + 0.049*ptBins[k]*ptBins[k];
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
} else if ( additionalNameOutput.CompareTo("EGA")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
error = 2.5;
error += 1.5*(ptBins[k]-15.);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
}
}
// manual smoothing for OpeningAngle errors - variation 1
if (nameCutVariationSC[i].CompareTo("OpeningAngle") == 0){
cout << "Opening Angle smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0.25;
if(ptBins[k]>=7.) error += (0.2)*(ptBins[k]-7.);
if(ptBins[k]>=14.) error += (0.5)*(ptBins[k]-14.);
if( meson.CompareTo("Eta") == 0 ){
error = 0.;
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
// if ( additionalNameOutput.CompareTo("EMC7")==0 ){
// for (Int_t k = 0;k < nPtBins;k++){
// Double_t error = 1.5;
// if(ptBins[k]>=10.) error += (0.284)*(ptBins[k]-10.);
// if( meson.CompareTo("Eta") == 0 ){
// error = 0.25;
// if(ptBins[k]>=15.) error += (0.12)*(ptBins[k]-15.);
// }else if( meson.CompareTo("Pi0EtaBinning") == 0){
// Double_t error2 = 0.25;
// if(ptBins[k]>=15.) error2 += (0.12)*(ptBins[k]-15.);
// error = sqrt(pow(error,2)+pow(error2,2));
// }
// errorsMean[i][k] = error;
// errorsMeanErr[i][k] = error*0.01;
// errorsMeanCorr[i][k] = error;
// errorsMeanErrCorr[i][k] = error*0.01;
// }
// } else if ( additionalNameOutput.CompareTo("EGA")==0 ){
// for (Int_t k = 0;k < nPtBins;k++){
// Double_t error = 2.;
// if(ptBins[k]>=10.) error += (0.284)*(ptBins[k]-10.);
// if( meson.CompareTo("Eta") == 0 ){
// error = 0.25;
// if(ptBins[k]>=15.) error += (0.12)*(ptBins[k]-15.);
// }else if( meson.CompareTo("Pi0EtaBinning") == 0){
// Double_t error2 = 0.25;
// if(ptBins[k]>=15.) error2 += (0.12)*(ptBins[k]-15.);
// error = sqrt(pow(error,2)+pow(error2,2));
// }
// errorsMean[i][k] = error;
// errorsMeanErr[i][k] = error*0.01;
// errorsMeanCorr[i][k] = error;
// errorsMeanErrCorr[i][k] = error*0.01;
// }
// } else{
// for (Int_t k = 0;k < nPtBins;k++){
// Double_t error = 0.5;
// if( meson.CompareTo("Eta") == 0 ){
// error = 0.;
// }
// errorsMean[i][k] = error;
// errorsMeanErr[i][k] = error*0.01;
// errorsMeanCorr[i][k] = error;
// errorsMeanErrCorr[i][k] = error*0.01;
// }
// }
}
// manual smoothing for minimum cluster energy errors - variation 2
if (nameCutVariationSC[i].CompareTo("ClusterMinEnergy")==0 ){
cout << "Cluster minimum energy smoothing" << endl;
if(meson.CompareTo("Pi0EtaBinning") == 0){
Double_t error = 0;
Double_t errorPi0 = 0;
Double_t errorEta = 0;
for (Int_t k = 0;k < nPtBins;k++){
errorPi0 = 1.2+6./pow(6.,ptBins[k]);
errorEta = 1.2+6./pow(6.,ptBins[k]);
if( additionalNameOutput.CompareTo("EMC7") == 0 || additionalNameOutput.CompareTo("EGA") == 0 ) errorEta = 2.5;
error = TMath::Sqrt(errorPi0*errorPi0+errorEta*errorEta);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = 0.01*error;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = 0.01*error;
}
} else if(meson.Contains("Pi0")){
Double_t error = 0;
for (Int_t k = 0;k < nPtBins;k++){
error = 1.2+6./pow(6.,ptBins[k]);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = 0.01*error;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = 0.01*error;
}
if ( additionalNameOutput.CompareTo("EMC7")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 1.2;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
} else if ( additionalNameOutput.CompareTo("EGA")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 1.2;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
} else {
Double_t error = 0;
for (Int_t k = 0;k < nPtBins;k++){
error = 1.2+6./pow(6.,ptBins[k]);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = 0.01*error;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = 0.01*error;
}
if ( additionalNameOutput.CompareTo("EMC7")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 2.5;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
} else if ( additionalNameOutput.CompareTo("EGA")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 2.5;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
}
}
// manual smoothing for minimum number of cells in cluster errors - variation 3
if (nameCutVariationSC[i].CompareTo("ClusterNCells")==0 ){
cout << "Cluster NCells smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0.5;
if (meson.CompareTo("Eta") == 0) error*= 2;
else if(meson.CompareTo("Pi0EtaBinning") == 0) error = error + error*2;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for energy calibration errors - variation 4
if (nameCutVariationSC[i].CompareTo("ClusterNonLinearity")==0 ){//&& meson.Contains("Pi0")
cout << "Cluster non linearity smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0;
if (additionalNameOutput.CompareTo("")==0 )
error = 1.0;
if ( additionalNameOutput.CompareTo("EMC7")==0 ||
additionalNameOutput.CompareTo("EGA")==0
)
error = 1.25+error;
if (meson.CompareTo("Eta") == 0)
error = error*2;
if (meson.CompareTo("Pi0EtaBinning") == 0)
error = error+error*2;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for cluster matching errors - variation 5
if (nameCutVariationSC[i].CompareTo("ClusterTrackMatchingCalo")==0 ){
cout << "Cluster track matching smoothing" << endl;
if ( meson.Contains("Pi0") && meson.CompareTo("Pi0EtaBinning") != 0){
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0;
if (additionalNameOutput.CompareTo("")==0){
error = 1.8 + 10./pow(4.,ptBins[k]);
} else if( additionalNameOutput.CompareTo("EMC7")==0 ){
error = 3.1;
if(ptBins[k]>=13.) error += (0.25)*(ptBins[k]-13.);
} else if( additionalNameOutput.CompareTo("EGA")==0 ){
error = 3.1;
if(ptBins[k]>=13.) error += (0.25)*(ptBins[k]-13.);
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = 0.01*error;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = 0.01*error;
}
} else {
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0;
if (additionalNameOutput.CompareTo("")==0 ||
additionalNameOutput.CompareTo("EMC7")==0 ||
additionalNameOutput.CompareTo("EGA")==0
){
if(meson.CompareTo("Pi0EtaBinning") == 0) {
error = 3.2 + 16./pow(4.,ptBins[k]);
if(ptBins[k]>=18.) error += (0.1)*(ptBins[k]-18.);
}else {
error = 3.2 + 16./pow(4.,ptBins[k]);
if(ptBins[k]>=18.) error += (0.1)*(ptBins[k]-18.);
}
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = 0.01*error;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = 0.01*error;
}
}
}
// manual smoothing for cluster shape errors - variation 6
if (nameCutVariationSC[i].CompareTo("ClusterM02")==0 ){//&& meson.Contains("Pi0")
cout << "Cluster M02 smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0.5+(-0.007)*ptBins[k]+(0.008)*ptBins[k]*ptBins[k];
if( additionalNameOutput.CompareTo("EMC7")==0 ){
error = 0.75;
if(ptBins[k]>=12.) error += (0.28)*(ptBins[k]-12.);
}else if( additionalNameOutput.CompareTo("EGA") == 0){
error = 1.;
if(ptBins[k]>=15.) error += (0.8)*(ptBins[k]-15.);
}
if (meson.CompareTo("Eta") == 0){
error = 0.9+(-0.007)*ptBins[k]+(0.013)*ptBins[k]*ptBins[k];
if( additionalNameOutput.CompareTo("EMC7")==0 ){
error = 1.2;
if(ptBins[k]>=15.) error += (0.01)*(pow((ptBins[k]-15.),2));
}else if( additionalNameOutput.CompareTo("EGA") == 0){
error = 1.2;
if(ptBins[k]>=15.) error += (0.01)*(pow((ptBins[k]-15.),2));
}
} else if (meson.CompareTo("Pi0EtaBinning") == 0){
error = 1.2+(-0.007)*ptBins[k]+(0.013)*ptBins[k]*ptBins[k];
if( additionalNameOutput.CompareTo("EMC7")==0 ){
error = 1.8;
if(ptBins[k]>=15.) error += (0.0125)*(pow((ptBins[k]-15.),2));
}else if( additionalNameOutput.CompareTo("EGA") == 0){
error = 1.8;
if(ptBins[k]>=15.) error += (0.0125)*(pow((ptBins[k]-15.),2));
}
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for Material infront of EMCal - variation 7
if (nameCutVariationSC[i].CompareTo("ClusterMaterialTRD")==0 ){
cout << "Material smoothing" << endl;
Double_t error = TMath::Sqrt(3.*3.+3.*3.); //(3% for TRD mat, 3% for TOF mat added in quadrature)
if (meson.CompareTo("Pi0EtaBinning") == 0)
error = 0; // cancels fully for eta/pi0
for (Int_t k = 0;k < nPtBins;k++){
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for energy scale errors (derived from mass difference MC & Data) - variation 8
if (nameCutVariationSC[i].CompareTo("ClusterEnergyScale")==0 ){//&& meson.Contains("Pi0")
cout << "Cluster energy scale errors smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0;
// if ( ptBins[k] < 1.2 ) {
// error = errorsMeanCorr[i][k] + 1;
// } else {
if (additionalNameOutput.CompareTo("")==0 ||
additionalNameOutput.CompareTo("EMC7")==0 ||
additionalNameOutput.CompareTo("EGA")==0){
error = 1.5+25./pow(10,ptBins[k]);
//if(ptBins[k]>=6.) error += 0.125*(ptBins[k]-6.);
}
// }
if (meson.CompareTo("Eta") == 0 || meson.CompareTo("Pi0EtaBinning") == 0){
error = 2.5+60./pow(10,ptBins[k]);
//if(ptBins[k]>=6.) error += 0.125*(ptBins[k]-6.);
}
// if (meson.CompareTo("Pi0EtaBinning") == 0)
// error = 2* error;
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for cell time uncertainties - variation 9
if (nameCutVariationSC[i].CompareTo("CellTiming") == 0){
cout << "Cell time smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0.;
if (additionalNameOutput.CompareTo("")==0 ){
error = 1.5;
} else if (additionalNameOutput.CompareTo("EMC7")==0){
error = 1.5;
} else if (additionalNameOutput.CompareTo("EGA")==0){
error = 1.5;
}
if (meson.CompareTo("Eta") == 0){
error = error*1.5;
}
if (meson.CompareTo("Pi0EtaBinning") == 0){
error = 0.;
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for Trigger normalization uncertainties - variation 10
if (nameCutVariationSC[i].CompareTo("Trigger") == 0){
cout << "Trigger smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 0.;
if (additionalNameOutput.CompareTo("")==0){
error = 0.1; //0.1% error from pileUp: with pileUp+SPDtrackCluster cut and without
} else if (additionalNameOutput.CompareTo("EMC7")==0){
error = TMath::Sqrt(2.0*2.0+0.1*0.1);
} else if (additionalNameOutput.CompareTo("EGA")==0){
error = TMath::Sqrt(2.2*2.2+2.0*2.0+0.1*0.1);
}
if (meson.CompareTo("Pi0EtaBinning") == 0){
error = 0.;
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for Efficiency uncertainties - variation 11
if (nameCutVariationSC[i].CompareTo("Efficiency") == 0){
cout << "Efficiency smoothing" << endl;
for (Int_t k = 0;k < nPtBins;k++){
Double_t error = 1.;
Double_t errorPi0 = 1.;
Double_t errorEta = 1.;
if (additionalNameOutput.CompareTo("")==0 ){
errorPi0 = 2.;
errorEta = 4.;
} else if (additionalNameOutput.CompareTo("EMC7")==0){
errorPi0 = 0.5 + 55/pow(2.0,ptBins[k]) + 2.;
errorEta = 0.5 + 55/pow(2.0,ptBins[k]) + 4.;
} else if (additionalNameOutput.CompareTo("EGA")==0){
errorPi0 = 3. + 2.;
if(ptBins[k]>=15) errorPi0-= 0.1*(ptBins[k]-15.0);
errorEta = 2. + 25/pow(1.3,(ptBins[k]-4.)) + 4.;
}
if (meson.CompareTo("Pi0EtaBinning")==0){
error = TMath::Sqrt(errorPi0*errorPi0+errorEta*errorEta);
} else if (meson.CompareTo("Pi0")==0) {
error = TMath::Sqrt(errorPi0*errorPi0+1.5*1.5); // add 'period' unc.
} else {
error = TMath::Sqrt(errorEta*errorEta+1.5*1.5); // add 'period' unc.
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for ClusterTime uncertainties - variation 12
if (nameCutVariationSC[i].CompareTo("ClusterTime")==0 ){
cout << "ClusterTime smoothing" << endl;
Double_t error = 0.25;
if(additionalNameOutput.CompareTo("EGA")) error = 0.75;
if (meson.CompareTo("Eta") == 0){
error = 0.5;
if(additionalNameOutput.CompareTo("EGA")) error = 1.5;
}
if (meson.CompareTo("Pi0EtaBinning") == 0){
error = 0.;
}
for (Int_t k = 0;k < nPtBins;k++){
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for ClusterizationEnergy uncertainties - variation 13
if (nameCutVariationSC[i].CompareTo("ClusterizationEnergy")==0 ){
cout << "ClusterizationEnergy smoothing" << endl;
Double_t error = 2.;
for (Int_t k = 0;k < nPtBins;k++){
error = 3.0 + 20./pow(10,ptBins[k]);
// if (meson.CompareTo("Eta") == 0){
// error = error*1.25;
// }
if (meson.CompareTo("Pi0EtaBinning") == 0){
error = 4.0 + 20./pow(10,ptBins[k]);
}
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for SecondaryCorrection uncertainties - variation 14
if (nameCutVariationSC[i].CompareTo("Secondary")==0 ){
cout << "Seconday smoothing" << endl;
Double_t error = 0.5;
if(meson.CompareTo("Eta") == 0) error = 0.;
for (Int_t k = 0;k < nPtBins;k++){
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
// manual smoothing for pi0 in eta binning - variation 15
if (i==15 && nameCutVariationSC[i].CompareTo("YieldExtractionPi0")==0 ){
cout << "pi0etabinning smoothing" << endl;
Double_t error = 3.;
for (Int_t k = 0;k < nPtBins;k++){
error = 1.25;
if(ptBins[k]>=6.) error += 0.02*(ptBins[k]-6.)*(ptBins[k]-6.);
if(ptBins[k]<=2.) error += -0.45+45/pow(10.,ptBins[k]);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
if ( additionalNameOutput.CompareTo("EMC7")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
error = 1.65;
if(ptBins[k]<=8.) error = 1.5+40/pow(2.,ptBins[k]);
if(ptBins[k]>=9.) error = 5.4 + (-0.855)*ptBins[k] + 0.049*ptBins[k]*ptBins[k];
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
} else if ( additionalNameOutput.CompareTo("EGA")==0 ){
for (Int_t k = 0;k < nPtBins;k++){
error = 2.5;
error += 1.5*(ptBins[k]-15.);
errorsMean[i][k] = error;
errorsMeanErr[i][k] = error*0.01;
errorsMeanCorr[i][k] = error;
errorsMeanErrCorr[i][k] = error*0.01;
}
}
}
} else {
for (Int_t k = 0;k < nPtBins;k++){
errorsMeanErr[i][k] = 0.03;
errorsMeanErrCorr[i][k] = 0.03;
}
}
// Quadratic sum of errors except material error infront of EMCal & inner material
if (!nameCutVariationSC[i].CompareTo("ClusterMaterialTRD")==0){
cout << "errors added quadratically" << endl;
for (Int_t l = 0;l < nPtBins;l++){
errorsPosSummed[l] = errorsPosSummed[l]+pow(errorsPos[i][l],2);
errorsNegSummed[l] = errorsNegSummed[l]+ pow(errorsNeg[i][l],2);
errorsMeanSummed[l] = errorsMeanSummed[l]+ pow(errorsMean[i][l],2);
errorsPosCorrSummed[l] = errorsPosCorrSummed[l]+pow(errorsPosCorr[i][l],2);
errorsNegCorrSummed[l] = errorsNegCorrSummed[l] +pow(errorsNegCorr[i][l],2);
errorsMeanCorrSummed[l] = errorsMeanCorrSummed[l]+ pow(errorsMeanCorr[i][l],2);
}
}
// fill error graphs for plotting
negativeErrors[i] = new TGraphErrors(nPtBins,ptBins ,errorsNeg[i] ,ptBinsErr ,errorsNegErr[i] );
meanErrors[i] = new TGraphErrors(nPtBins,ptBins ,errorsMean[i] ,ptBinsErr ,errorsMeanErr[i] );
positiveErrors[i] = new TGraphErrors(nPtBins,ptBins ,errorsPos[i] ,ptBinsErr ,errorsPosErr[i] );
negativeErrorsCorr[i] = new TGraphErrors(nPtBins,ptBins ,errorsNegCorr[i] ,ptBinsErr ,errorsNegErrCorr[i] );
meanErrorsCorr[i] = new TGraphErrors(nPtBins,ptBins ,errorsMeanCorr[i] ,ptBinsErr ,errorsMeanErrCorr[i] );
positiveErrorsCorr[i] = new TGraphErrors(nPtBins,ptBins ,errorsPosCorr[i] ,ptBinsErr ,errorsPosErrCorr[i] );
}
// Error for inner material budget
Double_t errorMaterial = 0;
// Calculate sqrt of summed errors for final errors, add material budget errors
for (Int_t l = 0;l < nPtBins;l++){
errorsPosSummed[l] = pow(errorsPosSummed[l],0.5);
errorsMeanSummed[l] = pow(errorsMeanSummed[l],0.5);
errorsPosErrSummed[l] = errorsPosSummed[l]*0.001;
errorsMeanErrSummed[l] = errorsMeanSummed[l]*0.001;
errorsNegSummed[l] = -pow(errorsNegSummed[l],0.5);
errorsNegErrSummed[l] = errorsNegSummed[l]*0.001;
// add EMCal material errors
errorsPosCorrMatSummed[l] = pow(errorsPosCorrSummed[l]+ pow(errorMaterial ,2.) + pow(errorsPosCorr[7][l],2) ,0.5);
errorsMeanCorrMatSummed[l] = pow(errorsMeanCorrSummed[l]+ pow(errorMaterial ,2.)+ pow(errorsMeanCorr[7][l],2),0.5);
errorsNegCorrMatSummed[l] = -pow(errorsNegCorrSummed[l]+ pow(errorMaterial ,2.)+ pow(errorsNegCorr[7][l],2),0.5);
errorsPosCorrSummed[l] = pow(errorsPosCorrSummed[l],0.5);
errorsMeanCorrSummed[l] = pow(errorsMeanCorrSummed[l],0.5);
errorsPosErrCorrSummed[l] = errorsPosCorrSummed[l]*0.001;
errorsMeanErrCorrSummed[l] = errorsMeanCorrSummed[l]*0.001;
errorsMeanErrCorrMatSummed[l] = errorsMeanCorrMatSummed[l]*0.001;
errorsNegCorrSummed[l] = -pow(errorsNegCorrSummed[l],0.5);
errorsNegErrCorrSummed[l] = errorsNegCorrSummed[l]*0.001;
}
// Create all other summed graphs
cout << __LINE__ << endl;
negativeErrorsSummed = new TGraphErrors(nPtBins,ptBins ,errorsNegSummed ,ptBinsErr ,errorsNegErrSummed );
negativeErrorsCorrSummed = new TGraphErrors(nPtBins,ptBins ,errorsNegCorrSummed ,ptBinsErr ,errorsNegErrCorrSummed );
positiveErrorsSummed = new TGraphErrors(nPtBins,ptBins ,errorsPosSummed ,ptBinsErr ,errorsPosErrSummed );
positiveErrorsCorrSummed = new TGraphErrors(nPtBins,ptBins ,errorsPosCorrSummed ,ptBinsErr ,errorsPosErrCorrSummed );
meanErrorsSummed = new TGraphErrors(nPtBins,ptBins ,errorsMeanSummed ,ptBinsErr ,errorsMeanErrSummed );
meanErrorsCorrSummed = new TGraphErrors(nPtBins,ptBins ,errorsMeanCorrSummed ,ptBinsErr ,errorsMeanErrCorrSummed );
meanErrorsCorrSummedIncMat = new TGraphErrors(nPtBins,ptBins ,errorsMeanCorrMatSummed ,ptBinsErr ,errorsMeanErrCorrMatSummed );
cout << __LINE__ << endl;
// Give legend position for plotting
Double_t minXLegend = 0.12;
Double_t maxYLegend = 0.95;
if (meson.CompareTo("Eta") == 0){
minXLegend = 0.23;
}
Double_t widthLegend = 0.25;
if (numberCutStudies> 7)
widthLegend = 0.5;
Double_t heightLegend = 1.05* 0.035 * (numberCutStudies+3);
if (numberCutStudies> 7)
heightLegend = 1.05* 0.035 * (numberCutStudies/2+1);
if (numberCutStudies> 7 && meson.CompareTo("Eta") == 0)
heightLegend = 1.05* 0.035 * (numberCutStudies/2+1);
if (numberCutStudies> 7 && meson.CompareTo("Pi0EtaBinning") == 0)
heightLegend = 1.05* 0.035 * (numberCutStudies/2);
// ***************************************************************************************************
// ****************************** Plot all mean erros separately *************************************
// ***************************************************************************************************
TCanvas* canvasSysErrMean = new TCanvas("canvasSysErrMean","",200,10,1350,900);// gives the page size
DrawGammaCanvasSettings( canvasSysErrMean, 0.08, 0.01, 0.015, 0.09);
// create dummy histo
TH2D *histo2DSysErrMean ;
if (meson.Contains("Eta") ){
Double_t max = 20;
if(additionalNameOutput.CompareTo("EMC7")==0) max = 23;
if(additionalNameOutput.CompareTo("EGA")==0) max = 26;
if(meson.CompareTo("Pi0EtaBinning")==0){
if(additionalNameOutput.CompareTo("EMC7")==0) max = 25;
if(additionalNameOutput.CompareTo("EGA")==0) max = 25;
}
histo2DSysErrMean = new TH2D("histo2DSysErrMean", "", 20,0.,ptBins[nPtBins-1]+ptBinsErr[nPtBins-1],1000.,0.,max);
} else {
Double_t max = 17;
if(additionalNameOutput.CompareTo("EGA")==0) max = 23;
histo2DSysErrMean = new TH2D("histo2DSysErrMean", "", 20,0.,ptBins[nPtBins-1]+ptBinsErr[nPtBins-1],1000.,0.,max);
}
SetStyleHistoTH2ForGraphs( histo2DSysErrMean, "#it{p}_{T} (GeV/#it{c})", "mean systematic Err %", 0.03, 0.04, 0.03, 0.04,
1,0.9, 510, 510);
histo2DSysErrMean->Draw();
// create legend
TLegend* legendMean = GetAndSetLegend2(minXLegend,maxYLegend-heightLegend,minXLegend+widthLegend,maxYLegend, 30);
if (numberCutStudies> 7) legendMean->SetNColumns(2);
for(Int_t i = 0;i< numberCutStudies ;i++){
// if ((additionalNameOutput.CompareTo("") == 0) && i == 10){
// cout << "not drawing: " << nameCutVariation[i].Data() << endl;
// continue;
// }
if ( meson.CompareTo("Eta") == 0 && (i == 1 || i == 14)){
cout << "not drawing: " << nameCutVariation[i].Data() << endl;
continue;
}
if ( meson.CompareTo("Pi0EtaBinning") == 0 && (i == 7 || i == 10 || i == 9 || i == 12) ){
cout << "not drawing: " << nameCutVariation[i].Data() << endl;
continue;
}
DrawGammaSetMarkerTGraphErr(meanErrors[i], markerStyle[i], 1.,color[i],color[i]);
meanErrors[i]->Draw("pE0,csame");
legendMean->AddEntry(meanErrors[i],nameCutVariation[i].Data(),"p");
}
legendMean->Draw();
// plot labeling
TLatex *labelMeson;
if (meson.CompareTo("Pi0EtaBinning") == 0){
labelMeson= new TLatex(0.75,0.89,Form("#eta/#pi^{0} rec. #gamma_{calo}"));
} else if (meson.Contains("Pi0")){
labelMeson= new TLatex(0.75,0.89,Form("#pi^{0} #rightarrow #gamma_{calo}#gamma_{calo}"));
} else {
labelMeson= new TLatex(0.75,0.89,Form("#eta #rightarrow #gamma_{calo}#gamma_{calo}"));
}
SetStyleTLatex( labelMeson, 0.038,4);
labelMeson->Draw();