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D0HadronCorrelationMaker.cxx
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D0HadronCorrelationMaker.cxx
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//***********************************************************************
//
// D0-Hadron Correlation Maker
//
// This code is used to calculate D0-Hadron correlations given histograms
// of pairs of [k-pi]-hadrons from the same event and from mixed events.
//
// Author: Alexander Jentsch
//
// Date: 3/30/2017 (Last Update)
//
//
//***********************************************************************
/////ROOT LIBRARIES///////////////
#include "TROOT.h"
#include "TSystem.h"
#include "TApplication.h"
#include <TH2.h>
#include <TH3.h>
#include <TStyle.h>
#include <TCanvas.h>
#include <Riostream.h>
#include <TRandom.h>
#include <TNtuple.h>
#include <iomanip>
#include <TFile.h>
#include <TProfile.h>
#include <TGraph.h>
#include <TPad.h>
#include <TMath.h>
#include <TF1.h>
#include <THnSparse.h>
#include <TLeaf.h>
#include <TLatex.h>
#include "TError.h"
gErrorIgnoreLevel = 4000; //default is kInfo
///////C++ Libraries/////////////////
#include <iostream>
#include <iomanip>
#include <math.h>
#include <map>
#include <vector>
#include <utility>
#include <climits>
#include <sstream>
#include <string>
#include <fstream>
#include <TAttMarker.h>
#include <algorithm>
#include <memory>
#include <iterator>
#include <ctype.h>
#include <bitset>
#include <stdio.h>
#include <stdlib.h>
using namespace std;
#include "C:/Users/ajentsch/Desktop/corrHistogramMaker.h"
#include "C:/Users/ajentsch/Desktop/histogramExtractAndSave.cxx"
Bool_t reject;
Double_t fline(Double_t *x, Double_t *par)
{
if ( (reject && (x[0] > 1.81 && x[0] < 1.91)) || (reject && (x[0] > 1.6 && x[0] < 1.7)) ){ //|| (reject && (x[0] > 2.0 && x[0] < 2.1))
TF1::RejectPoint();
return 0;
}
return par[0] + par[1]*x[0];
}
double calcScaleFactorforFit(double sigma)
{
double preFactor = TMath::Sqrt(TMath::PiOver2());
return preFactor*sigma*.5;
}
//Double_t SecH(
int D0HadronCorrelationMaker(){
TString binSubFolder = "newPtBins_Relaxed_Cuts"; //MAIN FILE NAME FOR INPUT
//-------------------------------------------------------------
//BEGIN VARIABLES SECTION
//-------------------------------------------------------------
int NUM_PHI_BINS = 12;
int NUM_ETA_BINS = 9;
int NUM_CENT_BINS = 16;
int NUM_VZ_BINS = 10;
int NUM_PT_BINS = 5;
double NUM_FILES_COMBINED = 1;
double ETA_RANGE = 1.55;
double phiBinShift = (TMath::Pi()/12.0);
//-----------------------
//file naming and input/output
//-----------------------
TString numPhi = "12";
TString numEta = "9";
TString inputRootFolder = "D0_Hadron_Correlation_Root_Files/";
//TString subFolder1 = "corrHistograms_";
//TString subFolder2 = "_Eta_";
//TString subFolder3 = "_Phi_bins";
TString rootFile = ".root";
TString outputRoot = "corrHistogramMaker";
TString slash = "/";
TString mainPath = "C:/Users/ajentsch/Desktop/";
TString mainFolder = "D0 Correlation Output Histograms/";
//TString binSubFolder = subFolder1 + numEta + subFolder2 + numPhi + subFolder3;
TString fileName = binSubFolder + rootFile;
//TString inputFileName = mainPath + inputRootFolder + numEta + subFolder2 + numPhi + subFolder3 + rootFile;
TString inputFileName = mainPath + inputRootFolder + binSubFolder + rootFile;
TString path = mainPath + mainFolder + binSubFolder + slash;
TString outputFileName = path + outputRoot + rootFile;
TFile *file = new TFile(inputFileName); //Root file with raw histograms to use for calculations
cout << endl << "Root Data File open. " << endl << endl;
histogramExtractAndSave(file, path);
TFile *output = new TFile(outputFileName, "RECREATE"); //root file to store calculated and scaled histograms
cout << "Root Output File open. " << endl << endl;
bool PRINT_SUB_HISTOS_RAW = false;
bool PRINT_SUB_HISTOS_SCALED = false;
bool PRINT_SUB_HISTOS_DEL_RHO = false;
bool PRINT_DELRHO_OVER_REF_HISTOS = true;
TString fileType = ".png"; //file type for output histogram pictures
TString fileTypeEps = ".eps"; //file type for progess report
TString fileTypePDF = ".pdf";
TString binLabelVz[10] = {"0", "1", "2", "3", "4", "5", "6", "7", "8", "9"};
TString binLabelCent[16] = {"0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15"};
TString binLabelPt[5] = {"0", "1", "2", "3", ""};
TString PtBinLabel[5] = {"_PtBin_", "_PtBin_", "_PtBin_", "_PtBin_", ""};
TString outputFolders[9] = {"SibCorr/", "MixedCorr/", "ScaledMixedCorr/", "SibMinusScaledMixCorr/",
"delRho_over_rhoRefCorr/", "FullySubtractedCorr/", "USMinusLS/",
"SideBandSubtraction/", "Centralities/"};
TString invariantMassOutputFolders[4] = {"PtBin0/", "PtBin1/", "PtBin2/", "PtBin3/", "PtIntegrated/"};
TString invariantMassHistogramsFolder = "invariantMassHistograms/";
TString VzSubFolders[11] = {"VzBin0/", "VzBin1/", "VzBin2/", "VzBin3/", "VzBin4/", "VzBin5/", "VzBin6/", "VzBin7/", "VzBin8/", "VzBin9/", "VzIntegrated/"};
TString PtSubFolders[4] = {"PtBin0/", "PtBin1/", "PtBin2/", "PtBin3/", "PtIntegrated/"};
TString bandFolders[5] = {"LeftSideBand/","UnlikeSign/", "RightSideBand/", "LikeSign/", "SideBandAverage/"};
TH1D* oneDUSHistos[5][4];
TString oneDUSStrings[5] = {"D0_US_invMass_Pt_Bin_0", "D0_US_invMass_Pt_Bin_1", "D0_US_invMass_Pt_Bin_2", "D0_US_invMass_Pt_Bin_3", "unlikeSign"};
TH1D* oneDLSHistos[5][4];
TString oneDLSStrings[5] = {"LS_invMass_Pt_Bin_0", "LS_invMass_Pt_Bin_1", "LS_invMass_Pt_Bin_2", "LS_invMass_Pt_Bin_3", "LikeSignBG"};
TH1D* oneDScaledLSHistos[5][4];
TString oneDScaledLSStrings[5] = {"ScaledLS_PtBin_0", "ScaledLS_PtBin_1", "ScaledLS_PtBin_2", "ScaledLS_PtBin_3", "ScaledLS"};
TH1D* oneDSubtractedInvMassHistos[5][4];
TString oneDSubtractedInvMassStrings[5] = {"D0_Minus_Scaled_LS_BG_PtBin_0", "D0_Minus_Scaled_LS_BG_PtBin_1", "D0_Minus_Scaled_LS_BG_PtBin_2", "D0_Minus_Scaled_LS_BG_PtBin_3", "D0_Minus_Scaled_LS_BG"};
TH1D* oneDSubtractedInvMassHistosFunction[5][4];
TString oneDSubtractedInvMassStringsFunction[5] = {"US_Minus_Expo_Fit_BG_PtBin_0", "US_Minus_Expo_Fit_BG_PtBin_1", "US_Minus_Expo_Fit_BG_PtBin_2", "US_Minus_Expo_Fit_BG_PtBin_3", "US_Minus_Expo_Fit_BG"};
TString binLabelCentralityClass[3] = {"_Peripheral", "_MidCentral", "_Central"};
double integralSideBandCounts[2];
double integralCounts[2];
//-----------------------------------
//Correlation variables and arrays
//-----------------------------------
// US histograms
TH2D* sibCorrBin[4][5][10][16]; //Raw US sibling histograms binned by centrality
TH2D* mixCorrBin[4][5][10][16]; //Raw US mixed histograms binned by centrality
TH2D* scaledMixCorrBin[4][5][10][16]; //storage for the eventual scaled mixed US histograms
//TH2D* sibMinusScaledMix[4][5][10][16]; // Raw US Sibling minus scaled mixed
TH2D* sibOverScaledMix[4][5][10][16]; //calculates ratio r
TH2D* delRhoOverRhoRefBin[4][5][10][16];
//ERRORS STORED HERE--ALL ERRORS STORED AS VARIANCES -- SQUARE ROOT MUST BE TAKEN FOR ACTUAL ERROR
double sibCorrBinStatErrors[4][5][10][16][9][12];
double mixCorrBinStatErrors[4][5][10][16][9][12];
double scaledMixCorrBinStatErrors[4][5][10][16][9][12];
double sibMinusScaledMixStatErrors[4][5][10][16][9][12];
double delRhoOverRhoRefBinStatErrors[4][5][10][16][9][12];
//------------------------------------------------------------------
TH2D* sibCorrBinVzInt[4][5][16];
TH2D* mixCorrBinVzInt[4][5][16];
TH2D* scaledMixCorrBinVzInt[4][5][16];
//TH2D* sibMinusScaledMixVzInt[4][5][16];
TH2D* delRhoOverRhoRefBinVzInt[4][5][16];
TH1D* sibCorrBinPhiProj[4][5][10][16]; //Raw US sibling histograms binned by centrality
TH1D* mixCorrBinPhiProj[4][5][10][16]; //Raw US mixed histograms binned by centrality
TH1D* scaledMixCorrBinPhiProj[4][5][10][16]; //storage for the eventual scaled mixed US histograms
//TH1D* sibMinusScaledMixPhiProj[4][5][10][16]; // Raw US Sibling minus scaled mixed
TH1D* delRhoOverRhoRefBinPhiProj[4][5][10][16];
TH1D* sibCorrBinPhiProjVzInt[4][5][16];
TH1D* mixCorrBinPhiProjVzInt[4][5][16];
TH1D* scaledMixCorrBinPhiProjVzInt[4][5][16];
//TH1D* sibMinusScaledMixPhiProjVzInt[4][5][16];
TH1D* delRhoOverRhoRefBinPhiProjVzInt[4][5][16];
//TH1D* sibCorrUSPhiProjMinusLSPhiProjVzInt[5][16];
TH2D* sideBandAverage[5][16];
TH1D* sideBandAveragePhiProj[5][16];
TH2D* fullySubtractedCorrSideBandCent[5][16];
TH1D* fullySubtractedCorrSideBandCentPhiProj[5][16];
TH2D* delRhoOverRhoRefBinVzIntCentInt[4][5][3];
TH1D* delRhoOverRhoRefBinVzIntCentIntPhiProj[4][5][3];
TH2D* fullySubtractedCorrLSCent[5][16];
TH1D* fullySubtractedCorrLSCentPhiProj[5][16];
//TH2D* mixCorrUSVzInt[3][16];
//TH2D* mixCorrLSVzInt[3][16];
//Correlations with integrated centralities
TH2D* fullySubtractedCorrCustomCentralityUS[5][3];
TH2D* fullySubtractedCorrCustomCentralityLS[5][3];
TH1D* fullySubtractedCorrCustomCentralityLSPhiProj[5][3];
TH2D* fullySubtractedCorrCustomCentralitySideBand[5][3];
TH1D* fullySubtractedCorrCustomCentralitySideBandPhiProj[5][3];
double VzWeightFactorCustom[3][10];
double VzWeightFactorCustomTotal;
TString fullySubtractedLabelCustomCentrality = "FullSubtractedCorr_";
TString centralityBin[3] = {"Peripheral", "MidCentral", "Central"};
TString SibCorrLabels[4] = {"Sibling_SideBandLeft_correlation", "Sibling_US_correlation", "Sibling_SideBandRight_correlation", "Sibling_LS_correlation"};
TString MixCorrLabels[4] = {"Mixed_SideBandLeft_correlation", "Mixed_US_correlation", "Mixed_SideBandRight_correlation", "Mixed_LS_correlation"};
TString ScaledMixCorrLabels[4] = {"Scaled_Mixed_SideBandLeft_correlation", "Scaled_Mixed_US_correlation", "Scaled_Mixed_SideBandRight_correlation", "Scaled_Mixed_LS_correlation"};
TString SibMinusScaledMixLabels[4] = {"Sib_Minus_Scaled_Mix_SideBandLeft_correlation", "Sib_Minus_Scaled_Mix_US_correlation", "Sib_Minus_Scaled_Mix_SideBandRight_correlation", "Sib_Minus_Scaled_Mix_LS_correlation"};
TString delRhoOverRhoRefLabels[4] = {"delRho_over_RhoRef_SideBandLeft_correlation", "delRho_over_RhoRef_US_correlation", "delRho_over_RhoRef_SideBandRight_correlation", "delRho_over_RhoRef_LS_correlation"};
TString subtractedCorrLabels[2] = {"US_Minus_SidebandAverage_Corr", "US_Minus_LS_Corr"};
TString sideBandAverageLabel = "sideBandAverage";
TString phiProj = "Phi_projection_";
TString USMinusLSSubtractedLabel1 = "US_Minus_LS_Subtracted_CentBin_";
TString withFitLabel = "_With_Fit";
//TString delRhoOverRhoRefUSMinusLSLabel1 = "delRho_over_RhoRef_US_Minus_Scaled_LS_";
TString centBinLabel = "_CentBin_";
TString VzBinLabel = "_VzBin_";
TString VzIntLabel = "_Vz_Integrated_";
TString bandLabel[4] = {"SideBandLeft", "US", "SideBandRight", "LS"};
double numSib = 0;
double numMix = 0;
double numMixUS = 0;
double numMixLS = 0;
double integralRawMixHistos[4][5][10][16];
double integralRawMixHistosVzInt[4][5][16];
//double integralRawMixHistos[4][4][10][16];
double integralRawMixHistosVzIntCentInt[4][5][3];
double scaleFactorVzCent = 0;
double scaleFactorVz = 0;
double scaleFactorLS = 0;
double LSScaleFactor[5][5] = {{1.0, 1.0, 1.0, 1.0, 1.0}, {1.0,1.0,1.0,1.0, 1.0}};
double ScalingRatio[3][16];
double BOverSPlusBLS[5][4];
double BOverSPlusBFit[5][4];
double SPlusBOverSLS[5][4];
double SPlusBOverSFit[5][4];
double totalPairsSibling = 0;
double integralError[12] = {0,0,0,0,0,0,0,0,0,0,0,0};
//fully subtraced US minus LS
TString delRhoOverRhoRefUSMinusLSLabel1 = "US_delRhoOverRho_Minus_LS_delRhoOverRho_";
double v2Array[5][3];
double v2ArrayStatError[5][3];
//----------------------------
//General use variables
//----------------------------
TString str1;
TString str2;
TString str3;
TString str4;
//-------------------------------------------------------------
//END VARIABLES SECTION
//-------------------------------------------------------------
TCanvas *c = new TCanvas("c2", "Histograms", 1100, 850);
double countsPeakRegionUS = 0;
double countsPeakRegionLS = 0;
double countsSideBandUS = 0;
double countsSideBandLS = 0;
double sideBandLow = 2.0;
double sideBandHigh = 2.1;
double massLow = 1.82;
double massHigh = 1.90;
double sqrtSPlusB = 1;
double integralFit = 0;
double DMesonSig = 0;
double integral = 0;
//double LSScaleFactor = 0;
Int_t binMassLowUS;
Int_t binMassHighUS;
Int_t binMassLowLS;
Int_t binMassHighLS;
TString title;
TString tmp;
Double_t par[5];
Double_t parBG[2];
TF1 * g1 = new TF1("m1", "gaus", 1.8, 1.9);
TF1 * e1 = new TF1("m2", "expo", 1.6, 1.78);
//TF1 * eL = new TF1("m3", "expo", 1.69, 1.81);
//TF1 * eR = new TF1("m4", "expo", 1.92, 2.0);
TF1 * BGFunc = new TF1("BGfunc", "expo", 1.6, 2.1);
TF1 * fun = new TF1("fun","gaus(0)+expo(3)",1.6,2.1);
TF1 * finalGaussian = new TF1("final Guassian", "gaus", 1.82, 1.9);
double par0;
double par1;
double par2;
double par3;
TAxis* xAxisUS;
TAxis* xAxisLS;
int LabelVersion = 0;
//------------------------------------------------------------------
//Code section to write information about this dataset to file
//------------------------------------------------------------------
saveCutsToFile(file, NUM_FILES_COMBINED, path); //This will generate the text file containing all of the cuts for the present run.
//---------------------------------------------
//BEGIN INVARIANT MASS HISTOGRAM INFORMATION
//---------------------------------------------
ofstream invariantMassInfo;
TString invariantMassInfoName = "Signal_and_background_information.txt";
TString invariantMassInfoFile = path + invariantMassInfoName;
invariantMassInfo.open (invariantMassInfoFile);
for(int k = 0; k < NUM_PT_BINS; k++){ //Initialize the histograms
for(int i = 0; i < 3; i++){
//if(k == 3) { LabelVersion = 1; }
tmp = oneDUSStrings[k] + binLabelCentralityClass[i];
oneDUSHistos[k][i] = (TH1D*)file->Get(tmp); //US spectrum
tmp = oneDLSStrings[k] + binLabelCentralityClass[i];
oneDLSHistos[k][i] = (TH1D*)file->Get(tmp); //LS spectrum
oneDScaledLSHistos[k][i] = (TH1D*)oneDLSHistos[k][i]->Clone(); //clone of LS spectrum to be scaled
tmp = oneDScaledLSStrings[k] + binLabelCentralityClass[i];
oneDScaledLSHistos[k][i]->SetTitle(oneDScaledLSStrings[k]);
tmp = oneDSubtractedInvMassStrings[k] + binLabelCentralityClass[i];
oneDSubtractedInvMassHistos[k][i] = new TH1D(tmp, tmp, 50, 1.6, 2.1); //final spectrum -- US minus LS (scaled)
oneDUSHistos[k][i]->GetXaxis()->SetTitle("Invariant Mass GeV/c^{2}");
oneDUSHistos[k][i]->GetYaxis()->SetTitle("counts");
oneDUSHistos[k][i]->GetYaxis()->SetTitleOffset(1.4);
oneDLSHistos[k][i]->GetXaxis()->SetTitle("Invariant Mass GeV/c^{2}");
oneDLSHistos[k][i]->GetYaxis()->SetTitle("counts");
oneDLSHistos[k][i]->GetYaxis()->SetTitleOffset(1.4);
oneDScaledLSHistos[k][i]->GetXaxis()->SetTitle("Invariant Mass GeV/c^{2}");
oneDScaledLSHistos[k][i]->GetYaxis()->SetTitle("counts");
oneDScaledLSHistos[k][i]->GetYaxis()->SetTitleOffset(1.4);
oneDSubtractedInvMassHistos[k][i]->GetXaxis()->SetTitle("Invariant Mass GeV/c^{2}");
oneDSubtractedInvMassHistos[k][i]->GetYaxis()->SetTitle("counts");
oneDSubtractedInvMassHistos[k][i]->GetYaxis()->SetTitleOffset(1.4);
xAxisUS = oneDUSHistos[k][i]->GetXaxis();
xAxisLS = oneDLSHistos[k][i]->GetXaxis();
binMassLowUS = oneDUSHistos[k][i]->GetXaxis()->FindBin(sideBandLow); //get normalization factors to scale the LS distribution
binMassHighUS = oneDUSHistos[k][i]->GetXaxis()->FindBin(sideBandHigh);
binMassLowLS = oneDLSHistos[k][i]->GetXaxis()->FindBin(sideBandLow); //get normalization factors to scale the LS distribution
binMassHighLS = oneDLSHistos[k][i]->GetXaxis()->FindBin(sideBandHigh);
countsSideBandUS = oneDUSHistos[k][i]->Integral(binMassLowUS, binMassHighUS);
countsSideBandLS = oneDLSHistos[k][i]->Integral(binMassLowLS, binMassHighLS);
//Calculate peak region values
binMassLowUS = xAxisUS->FindBin(massLow);
binMassHighUS = xAxisUS->FindBin(massHigh);
binMassLowLS = xAxisLS->FindBin(massLow);
binMassHighLS = xAxisLS->FindBin(massHigh);
oneDUSHistos[k][i]->Sumw2();
oneDUSHistos[k][i]->SetMarkerStyle(20);
oneDLSHistos[k][i]->Sumw2();
oneDLSHistos[k][i]->SetMarkerStyle(20);
oneDSubtractedInvMassHistos[k][i]->Sumw2();
oneDSubtractedInvMassHistos[k][i]->SetMarkerStyle(20);
oneDUSHistos[k][i]->Draw();
tmp = path + invariantMassHistogramsFolder + invariantMassOutputFolders[k] + oneDUSStrings[k] + binLabelCentralityClass[i] + fileType;
c->SaveAs(tmp);
//oneDUSHistos[i]->SetTitle("");
//oneDUSHistos[i]->Draw();
//tmp = path + oneDUSStrings[i] + fileTypeEps;
//c->SaveAs(tmp);
LSScaleFactor[k][i] = countsSideBandUS/countsSideBandLS;
oneDScaledLSHistos[k][i]->Scale(LSScaleFactor[k][i]); //normalize LS spectrum here
countsPeakRegionUS = oneDUSHistos[k][i]->Integral(binMassLowUS, binMassHighUS);
countsPeakRegionLS = oneDScaledLSHistos[k][i]->Integral(binMassLowLS, binMassHighLS); //this gets an estimate for B from the LS scaled to the BG in the US, using a single sideband
invariantMassInfo << "____________________________________________________________________________________________________" << endl;
invariantMassInfo << "PtBin (0: 0-1, 1: 1-4, 2: 4-20, 3: all): " << k << endl;
invariantMassInfo << "CentBin (0: per, 1: mid, 2: cent, 3: all): " << i << endl;
//cout << "LS Scale Factor: " << LSScaleFactor[i] << endl;
invariantMassInfo << "S+B (from integral in mass window): " << countsPeakRegionUS << endl;
oneDSubtractedInvMassHistos[k][i]->Add(oneDUSHistos[k][i], oneDScaledLSHistos[k][i], 1, -1); // form subtracted spectrum here
oneDSubtractedInvMassHistosFunction[k][i] = (TH1D*)oneDSubtractedInvMassHistos[k][i]->Clone();
tmp = oneDSubtractedInvMassStringsFunction[k] + binLabelCentralityClass[i];
oneDSubtractedInvMassHistosFunction[k][i]->SetTitle(tmp);
oneDSubtractedInvMassHistos[k][i]->Fit(g1, "qR0");
oneDSubtractedInvMassHistos[k][i]->Fit(e1, "qR0+");
g1->GetParameters(&par[0]);
e1->GetParameters(&par[3]);
fun->SetParameters(par);
oneDSubtractedInvMassHistos[k][i]->Fit(fun, "qR+");
oneDSubtractedInvMassHistos[k][i]->SetMarkerColor(2);
BGFunc->SetParameter(0, fun->GetParameter(3));
BGFunc->SetParameter(1, fun->GetParameter(4));
//------------------------This is where things are controversial -- how do I fit the residual background????-------------------
TF1 *fl = new TF1("fl",fline,1.6,2.1,2);
fl->SetParameters(2,-1);
//fit only the linear background excluding the signal area
reject = kTRUE;
oneDSubtractedInvMassHistos[k][i]->Fit(fl,"qR");
reject = kFALSE;
oneDSubtractedInvMassHistosFunction[k][i]->Add(fl, -1);
//-----------------------------------------------------------------------------------------------------------------------------
oneDSubtractedInvMassHistosFunction[k][i]->Fit(finalGaussian, "qR");
integralFit = oneDSubtractedInvMassHistosFunction[k][i]->Integral(binMassLowUS, binMassHighUS);
//integralFit is the estimate for "S"
//countsPeakRegionUS is S+B
//B = countsPeakRegionUS - integralFit
BOverSPlusBFit[k][i] = (countsPeakRegionUS - integralFit)/countsPeakRegionUS; // B/S+B scale factor from background subtraction from fit
SPlusBOverSFit[k][i] = countsPeakRegionUS/integralFit; // S+B/S used as a final scale factor on the final correlation quantity -- from fit
invariantMassInfo << "S (from fit estimate): " << integralFit << endl;
invariantMassInfo << "B (from fit estimate): " << (countsPeakRegionUS-integralFit) << endl;
invariantMassInfo << "S+B/S from LS subtraction + expo Fit: " << SPlusBOverSFit[k][i] << endl;
invariantMassInfo << "B/S+B from LS subtraction + expo Fit: " << BOverSPlusBFit[k][i] << endl;
oneDUSHistos[k][i]->Draw();
oneDScaledLSHistos[k][i]->Draw("SAME");
tmp = path + invariantMassHistogramsFolder + invariantMassOutputFolders[k] + oneDUSStrings[k] + binLabelCentralityClass[i] + withFitLabel + fileType;
c->SaveAs(tmp);
oneDLSHistos[k][i]->Draw();
tmp = path + invariantMassHistogramsFolder + invariantMassOutputFolders[k] + oneDLSStrings[k] + binLabelCentralityClass[i] + fileType;
c->SaveAs(tmp);
oneDSubtractedInvMassHistos[k][i]->Draw();
tmp = path + invariantMassHistogramsFolder + invariantMassOutputFolders[k] + oneDSubtractedInvMassStrings[k] + binLabelCentralityClass[i] + fileType;
c->SaveAs(tmp);
sqrtSPlusB = TMath::Sqrt(countsPeakRegionUS);
DMesonSig = integralFit/sqrtSPlusB;
tmp = "#frac{S}{#sqrt{S+B}} = ";
str1 = Form("%.2f",DMesonSig);
str2 = tmp + str1;
invariantMassInfo << "D0 Significance: " << DMesonSig << endl;
TPaveText *textBoxSignifigance = new TPaveText(0.25, 0.75, .45, .95, "NB NDC");
textBoxSignifigance->AddText(str2);
textBoxSignifigance->GetLine(0)->SetTextSize(.041);
oneDSubtractedInvMassHistosFunction[k][i]->Draw();
textBoxSignifigance->Draw("SAME");
tmp = path + invariantMassHistogramsFolder + invariantMassOutputFolders[k] + oneDSubtractedInvMassStringsFunction[k] + binLabelCentralityClass[i] + fileType;
c->SaveAs(tmp);
}
}
invariantMassInfo.close();
cout << endl << "Invariant Mass histograms process and S & B calculated for each Pt/Centrality bin" << endl << endl;
//------------------------------------------
//BEGIN CORRELATION HISTOGRAM INFORMATION
//------------------------------------------
/**********************************************************************************
EXTRACT SIBLING AND MIXED HISTOGRAMS FROM RAW DATA FILE HERE
**********************************************************************************/
for(int band = 0; band < 4; band++){ //begin loop to get raw sibling and mixed histograms in both US and LS
for(int i = 0; i < NUM_CENT_BINS; i++){
for(int k = 0; k < NUM_PT_BINS; k++){
//Sibling histogram information
str1 = SibCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
sibCorrBinVzInt[band][k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = SibCorrLabels[band] + phiProj + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
sibCorrBinPhiProjVzInt[band][k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
formatCorrHist(sibCorrBinVzInt[band][k][i]);
//mixed histogram information
str1 = MixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
mixCorrBinVzInt[band][k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = MixCorrLabels[band] + phiProj + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
mixCorrBinPhiProjVzInt[band][k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
formatCorrHist(mixCorrBinPhiProjVzInt[band][k][i]);
for(int j = 0; j < 10; j++){
str1 = SibCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i];
str2 = MixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i];
sibCorrBin[band][k][j][i] = (TH2D*)file->Get(str1);
mixCorrBin[band][k][j][i] = (TH2D*)file->Get(str2);
//sibCorrBin[band][k][j][i]->Sumw2();
//mixCorrBin[band][k][j][i]->Sumw2();
//This gets the stat errors for the raw sibling and mixed histograms
for(int etaBin = 0; etaBin < NUM_ETA_BINS; etaBin++){
for(int phiBin = 0; phiBin < NUM_PHI_BINS; phiBin++){
sibCorrBinStatErrors[band][k][j][i][etaBin][phiBin] = sibCorrBin[band][k][j][i]->GetBinContent(etaBin, phiBin);
mixCorrBinStatErrors[band][k][j][i][etaBin][phiBin] = mixCorrBin[band][k][j][i]->GetBinContent(etaBin, phiBin);
}
}//Stat errors
if(k==3){totalPairsSibling = totalPairsSibling + sibCorrBin[band][k][j][i]->Integral(1, NUM_ETA_BINS, 1, NUM_PHI_BINS);}
sibCorrBinVzInt[band][k][i]->Add(sibCorrBin[band][k][j][i]);
formatCorrHist(sibCorrBin[band][k][j][i]); //histogram formatting for axes
mixCorrBinVzInt[band][k][i]->Add(mixCorrBin[band][k][j][i]);
formatCorrHist(mixCorrBin[band][k][j][i]); //histogram formatting for axes
//Sibling US
if(PRINT_SUB_HISTOS_RAW){
sibCorrBin[band][k][j][i]->Draw("SURF1"); //sibling 2D US histogram
str1 = path + outputFolders[0] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + SibCorrLabels[band] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
}
str1 = phiProj + SibCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i]; //sibling phi projection US
sibCorrBinPhiProj[band][k][j][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
sibCorrBinPhiProj[band][k][j][i] = (TH1D*)sibCorrBin[band][k][j][i]->ProjectionY();
if(PRINT_SUB_HISTOS_RAW){
str1 = path + outputFolders[0] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + phiProj + SibCorrLabels[band] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
sibCorrBinPhiProj[band][k][j][i]->Draw();
c->SaveAs(str1);
}
sibCorrBinPhiProjVzInt[band][k][i]->Add(sibCorrBinPhiProj[band][k][j][i]);
//Mixed
if(PRINT_SUB_HISTOS_RAW){
mixCorrBin[band][k][j][i]->Draw("SURF1"); //mixling 2D US histogram
str1 = path + outputFolders[1] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + MixCorrLabels[band] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
}
str1 = phiProj + MixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i]; //mixling phi projection US
mixCorrBinPhiProj[band][k][j][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
mixCorrBinPhiProj[band][k][j][i] = (TH1D*)mixCorrBin[band][k][j][i]->ProjectionY();
if(PRINT_SUB_HISTOS_RAW){
str1 = path + outputFolders[1] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + phiProj + MixCorrLabels[band] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
mixCorrBinPhiProj[band][k][j][i]->Draw();
c->SaveAs(str1);
}
mixCorrBinPhiProjVzInt[band][k][i]->Add(mixCorrBinPhiProj[band][k][j][i]);
}
if(PRINT_SUB_HISTOS_RAW){
//sibling
sibCorrBinVzInt[band][k][i]->Draw("SURF1");
str1 = path + outputFolders[0] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + SibCorrLabels[band] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
sibCorrBinPhiProjVzInt[band][k][i]->Draw();
str1 = path + outputFolders[0] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + phiProj + SibCorrLabels[band] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
//mixed
mixCorrBinVzInt[band][k][i]->Draw("SURF1");
str1 = path + outputFolders[1] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + MixCorrLabels[band] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
mixCorrBinPhiProjVzInt[band][k][i]->Draw();
str1 = path + outputFolders[1] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + phiProj + MixCorrLabels[band] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
}
}
}//end loop to get raw sibling and mixed histograms in both US and LS
cout << "Total sibling pairs for band " << band << " : " << totalPairsSibling << endl;
}
cout << endl << "Sibling and mixed histograms extracted" << endl;
/**********************************************************************************
NORMALIZE THE MIXED HISTOGRAMS HERE
**********************************************************************************/
for(int band = 0; band < 4; band++){ // begin loop to make scaled mixed histograms
for(int i = 0; i < NUM_CENT_BINS; i++){
for(int k = 0; k < NUM_PT_BINS; k++){
str1 = ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
scaledMixCorrBinVzInt[band][k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = phiProj + ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
scaledMixCorrBinPhiProjVzInt[band][k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
for(int j = 0; j < 10; j++){
scaledMixCorrBin[band][k][j][i] = (TH2D*) mixCorrBin[band][k][j][i]->Clone();
//US histograms
numSib = sibCorrBin[band][k][j][i]->Integral(1, NUM_ETA_BINS, 1, NUM_PHI_BINS);
numMixUS = mixCorrBin[band][k][j][i]->Integral(1, NUM_ETA_BINS, 1, NUM_PHI_BINS);
integralRawMixHistos[band][k][j][i] = numMixUS;
scaledMixCorrBin[band][k][j][i]->Scale(numSib/numMixUS);
//VzScaleFactorUS[j] = numMixUS;
for(int etaBin = 0; etaBin < NUM_ETA_BINS; etaBin++){
for(int phiBin = 0; phiBin < NUM_PHI_BINS; phiBin++){
scaledMixCorrBinStatErrors[band][k][j][i][etaBin][phiBin] = mixCorrBinStatErrors[band][k][j][i][etaBin][phiBin]/((numSib/numMixUS)*(numSib/numMixUS));
}
}//Stat errors
//US scaled histograms
str1 = ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i];
formatCorrHist(scaledMixCorrBin[band][k][j][i], str1); //formatting
if(PRINT_SUB_HISTOS_SCALED){
scaledMixCorrBin[band][k][j][i]->Draw("SURF1");
str1 = path + outputFolders[2] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
}
str1 = phiProj + ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i]; //scaled mix phi projection US
scaledMixCorrBinPhiProj[band][k][j][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
scaledMixCorrBinPhiProj[band][k][j][i] = (TH1D*)scaledMixCorrBin[band][k][j][i]->ProjectionY();
if(PRINT_SUB_HISTOS_SCALED){
str1 = path + outputFolders[2] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + phiProj + ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
scaledMixCorrBinPhiProj[band][k][j][i]->Draw();
c->SaveAs(str1);
}
}
if(PRINT_SUB_HISTOS_SCALED){
str1 = path + outputFolders[2] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
scaledMixCorrBinVzInt[band][k][i]->Draw("SURF1");
c->SaveAs(str1);
str1 = path + outputFolders[2] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + phiProj + ScaledMixCorrLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
scaledMixCorrBinPhiProjVzInt[band][k][i]->Draw();
c->SaveAs(str1);
}
}
} //end loop to make scaled mixed histograms */
}
//--------------------------------------------------------calculate some useful quantities here--------------------------------------
cout << endl << "Mixed Histograms Normalized." << endl << endl;
for(int band = 0; band < 4; band++){ //build arrays to store information for adding the various alpha's (Vz, centrality, etc.)
for(int k = 0; k < NUM_PT_BINS; k++){
integralRawMixHistosVzIntCentInt[band][k][0] = 0;
integralRawMixHistosVzIntCentInt[band][k][1] = 0;
integralRawMixHistosVzIntCentInt[band][k][2] = 0;
for(int i = 0; i < NUM_CENT_BINS; i++){
integralRawMixHistosVzInt[band][k][i] = 0;
//cout << band << " " << k << " "<< i << endl;
for(int j = 0; j < 10; j++){
integralRawMixHistosVzInt[band][k][i] = integralRawMixHistosVzInt[band][k][i] + integralRawMixHistos[band][k][j][i];
}
}
}
}
//------------------------------------------------------------------------------------------------------------------------------------
cout << "Weight Factors Calculated." << endl << endl;
/**********************************************************************************
CALCULATE Sib/normalizedMix RATIO HERE (we are calculating r-1 eventually)
**********************************************************************************/
for(int band = 0; band < 4; band++){ // begin loop to make sib minus scaledMixed histos (delRho)
for(int i = 0; i < NUM_CENT_BINS; i++){
for(int k = 0; k < NUM_PT_BINS; k++){
str1 = SibMinusScaledMixLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
sibMinusScaledMixVzInt[band][k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = phiProj + SibMinusScaledMixLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
sibMinusScaledMixPhiProjVzInt[band][k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
for(int j = 0; j < 10; j++){
str1 = SibMinusScaledMixLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i];
sibMinusScaledMix[band][k][j][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
sibMinusScaledMix[band][k][j][i]->Add(sibCorrBin[band][k][j][i], scaledMixCorrBin[band][k][j][i], 1, -1);
//integralError = 0.0;
for(int etaBin = 0; etaBin < NUM_ETA_BINS; etaBin++){
for(int phiBin = 0; phiBin < NUM_PHI_BINS; phiBin++){
sibMinusScaledMixStatErrors[band][k][j][i][etaBin][phiBin] = sibCorrBinStatErrors[band][k][j][i][etaBin][phiBin] + scaledMixCorrBinStatErrors[band][k][j][i][etaBin][phiBin];
integralError[phiBin] = integralError[phiBin] + sibMinusScaledMixStatErrors[band][k][j][i][etaBin][phiBin];
}
}//Stat errors
formatCorrHist(sibMinusScaledMix[band][k][j][i]); //formatting
if(PRINT_SUB_HISTOS_DEL_RHO){
sibMinusScaledMix[band][k][j][i]->Draw("SURF1");
str1 = path + outputFolders[3] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + SibMinusScaledMixLabels[band] + binLabelCent[i] + fileType;
c->SaveAs(str1);
}
str1 = phiProj + SibMinusScaledMixLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i];
sibMinusScaledMixPhiProj[band][k][j][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
sibMinusScaledMixPhiProj[band][k][j][i] = (TH1D*)sibMinusScaledMix[band][k][j][i]->ProjectionY();
if(PRINT_SUB_HISTOS_DEL_RHO){
str1 = path + outputFolders[3] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + phiProj + SibMinusScaledMixLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
for(int phiBin = 0; phiBin < NUM_PHI_BINS; phiBin++){
sibMinusScaledMixPhiProj[band][k][j][i]->SetBinError(phiBin+1, integralError[phiBin]);
}
sibMinusScaledMixPhiProj[band][k][j][i]->Draw("E0");
c->SaveAs(str1);
}
sibMinusScaledMixVzInt[band][k][i]->Add(sibMinusScaledMix[band][k][j][i]);
sibMinusScaledMixPhiProjVzInt[band][k][i]->Add(sibMinusScaledMixPhiProj[band][k][j][i]);
}
if(PRINT_SUB_HISTOS_DEL_RHO){
str1 = path+outputFolders[3]+bandFolders[band]+PtSubFolders[k]+VzSubFolders[10]+SibMinusScaledMixLabels[band]+PtBinLabel[k]+binLabelPt[k]+VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
sibMinusScaledMixVzInt[band][k][i]->Draw("SURF1");
c->SaveAs(str1);
str1 = path + outputFolders[3] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + phiProj + SibMinusScaledMixLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
sibMinusScaledMixPhiProjVzInt[band][k][i]->Draw();
c->SaveAs(str1);
}
}
}// end loop to make sibling minus scaled mixed histograms (delRho)
}
cout << "deltaRho for each band (US, LS, SBL, SBR) calculated." << endl << endl;
//-----------------------------------------------------------------------------------------------------------------------------------------------------------
//-----------------------------------------------------------------------------------------------------------------------------------------------------------
//-----------------------------------------BEGIN SECTION TO CALCULATE ACTUAL CORRELATIONS--------------------------------------------------------------------
//-----------------------------------------------------------------------------------------------------------------------------------------------------------
//-----------------------------------------------------------------------------------------------------------------------------------------------------------
for(int band = 0; band < 4; band++){ // begin loop to make delRho/RhoRef US histos -- this will calculate the delRho/Rho histograms for all 4 bands -- LS, US, SBR, SBL
for(int i = 0; i < NUM_CENT_BINS; i++){
for(int k = 0; k < NUM_PT_BINS; k++){
str1 = delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
delRhoOverRhoRefBinVzInt[band][k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = phiProj + delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i];
delRhoOverRhoRefBinPhiProjVzInt[band][k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
for(int j = 0; j < 10; j++){
str1 = delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i];
delRhoOverRhoRefBin[band][k][j][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
if(scaledMixCorrBin[band][k][j][i]->GetEntries() > 0){
delRhoOverRhoRefBin[band][k][j][i]->Divide(sibMinusScaledMix[band][k][j][i], scaledMixCorrBin[band][k][j][i], 1, 1);
}
formatCorrHist(delRhoOverRhoRefBin[band][k][j][i]);
//VzScaleFactorUS[j] = delRhoOverRhoRefUSBin[k][j][i]->Integral(1, NUM_ETA_BINS, 1, NUM_PHI_BINS);
delRhoOverRhoRefBin[band][k][j][i]->GetXaxis()->SetRangeUser(-ETA_RANGE, ETA_RANGE);
if(PRINT_DELRHO_OVER_REF_HISTOS){
delRhoOverRhoRefBin[band][k][j][i]->Draw("SURF1");
str1 = path + outputFolders[4] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
c->SaveAs(str1);
}
str1 = phiProj + delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i]; //sib - scaled mix phi projection US
delRhoOverRhoRefBinPhiProj[band][k][j][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
delRhoOverRhoRefBinPhiProj[band][k][j][i] = (TH1D*)delRhoOverRhoRefBin[band][k][j][i]->ProjectionY();
if(PRINT_DELRHO_OVER_REF_HISTOS){
str1 = path + outputFolders[4] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[j] + phiProj + delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzBinLabel + binLabelVz[j] + centBinLabel + binLabelCent[i] + fileType;
delRhoOverRhoRefBinPhiProj[band][k][j][i]->Draw();
c->SaveAs(str1);
}
scaleFactorVz = integralRawMixHistos[band][k][j][i]/integralRawMixHistosVzInt[band][k][i];
delRhoOverRhoRefBinVzInt[band][k][i]->Add(delRhoOverRhoRefBin[band][k][j][i], scaleFactorVz);
}
str1 = path + outputFolders[4] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
delRhoOverRhoRefBinVzInt[band][k][i]->GetXaxis()->SetRangeUser(-ETA_RANGE, ETA_RANGE);
if(PRINT_DELRHO_OVER_REF_HISTOS){
delRhoOverRhoRefBinVzInt[band][k][i]->Draw("SURF1");
c->SaveAs(str1);
}
delRhoOverRhoRefBinPhiProjVzInt[band][k][i] = (TH1D*)delRhoOverRhoRefBinVzInt[band][k][i]->ProjectionY();
str1 = path + outputFolders[4] + bandFolders[band] + PtSubFolders[k] + VzSubFolders[10] + phiProj + delRhoOverRhoRefLabels[band] + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
if(PRINT_DELRHO_OVER_REF_HISTOS){
delRhoOverRhoRefBinPhiProjVzInt[band][k][i]->Draw();
c->SaveAs(str1);
}
}
} //end loop to make delRho/Rho_ref histograms*/
}
//-----------------------------------------------------------------------------------------------------------------------------------------------------------
//---------------------------THIS SECTION DOES THE FINAL SUBTRACTION IN THE 16 MULTIPLICITY BINS------------------------------------------------------------------
//-----------------------------------------------------------------------------------------------------------------------------------------------------------
for(int i = 0; i < NUM_CENT_BINS; i++){// begin side band subtraction here -- this will take the US delRho/Rho and subtract the SB average delRho/Rho from it
for(int k = 0; k < NUM_PT_BINS; k++){
str1 = sideBandAverageLabel + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i];
sideBandAverage[k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = phiProj + sideBandAverageLabel + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i];
sideBandAveragePhiProj[k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
sideBandAverage[k][i]->Add(delRhoOverRhoRefBinVzInt[0][k][i], delRhoOverRhoRefBinVzInt[2][k][i], .5, .5);
sideBandAveragePhiProj[k][i]->Add(delRhoOverRhoRefBinPhiProjVzInt[0][k][i], delRhoOverRhoRefBinPhiProjVzInt[2][k][i], .5, .5);
str1 = subtractedCorrLabels[0] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i];
fullySubtractedCorrSideBandCent[k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = phiProj + subtractedCorrLabels[0] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i];
fullySubtractedCorrSideBandCentPhiProj[k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
fullySubtractedCorrSideBandCent[k][i]->Add(delRhoOverRhoRefBinVzInt[1][k][i], sideBandAverage[k][i], 1, -BOverSPlusBFit[k][3]);
str1 = path + outputFolders[4] + bandFolders[4] + PtSubFolders[k] + VzSubFolders[10] + sideBandAverageLabel + PtBinLabel[k] + binLabelPt[k] + VzIntLabel + centBinLabel + binLabelCent[i] + fileType;
sideBandAverage[k][i]->GetXaxis()->SetRangeUser(-ETA_RANGE, ETA_RANGE);
sideBandAverage[k][i]->Draw("SURF1");
c->SaveAs(str1);
str1 = path + outputFolders[5] + outputFolders[7] + PtSubFolders[k] + subtractedCorrLabels[0] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i] + fileType;
fullySubtractedCorrSideBandCent[k][i]->GetXaxis()->SetRangeUser(-ETA_RANGE, ETA_RANGE);
fullySubtractedCorrSideBandCent[k][i]->Draw("SURF1");
c->SaveAs(str1);
fullySubtractedCorrSideBandCent[k][i]->Write();
str1 = path + outputFolders[5] + outputFolders[7] + PtSubFolders[k] + phiProj + subtractedCorrLabels[0] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i] + fileType;
fullySubtractedCorrSideBandCentPhiProj[k][i] = (TH1D*)fullySubtractedCorrSideBandCent[k][i]->ProjectionY();
fullySubtractedCorrSideBandCentPhiProj[k][i]->Draw();
c->SaveAs(str1);
}
}// end side band subtraction here
for(int i = 0; i < NUM_CENT_BINS; i++){// begin LS subtraction here -- this will take the US delRho/Rho and subtract the LS delRho/Rho from it
for(int k = 0; k < NUM_PT_BINS; k++){
str1 = subtractedCorrLabels[1] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i];
fullySubtractedCorrLSCent[k][i] = new TH2D(str1, str1, NUM_ETA_BINS, -2, 2, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
str1 = phiProj + subtractedCorrLabels[1] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i];
fullySubtractedCorrLSCentPhiProj[k][i] = new TH1D(str1, str1, NUM_PHI_BINS, -TMath::PiOver2()+phiBinShift, 3*TMath::PiOver2()+phiBinShift);
fullySubtractedCorrLSCent[k][i]->Add(delRhoOverRhoRefBinVzInt[1][k][i], delRhoOverRhoRefBinVzInt[3][k][i], 1, -BOverSPlusBFit[k][3]);
//fullySubtractedCorrLSCentPhiProj[k][i]->Add(delRhoOverRhoRefBinPhiProjVzInt[1][k][i], delRhoOverRhoRefBinPhiProjVzInt[3][k][i], 1, -BOverSPlusB[k]);
str1 = path + outputFolders[5] + outputFolders[6] + PtSubFolders[k] + subtractedCorrLabels[0] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i] + fileType;
fullySubtractedCorrLSCent[k][i]->GetXaxis()->SetRangeUser(-ETA_RANGE, ETA_RANGE);
fullySubtractedCorrLSCent[k][i]->Draw("SURF1");
c->SaveAs(str1);
str1 = path + outputFolders[5] + outputFolders[6] + PtSubFolders[k] + phiProj + subtractedCorrLabels[0] + PtBinLabel[k] + binLabelPt[k] + centBinLabel + binLabelCent[i] + fileType;
fullySubtractedCorrLSCentPhiProj[k][i] = (TH1D*) fullySubtractedCorrLSCent[k][i]->ProjectionY();
fullySubtractedCorrLSCentPhiProj[k][i]->Draw();
c->SaveAs(str1);
}
}// end LS subtraction here