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corrHistogramMaker.cxx
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corrHistogramMaker.cxx
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/////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/D0_Analysis_Code_Local_Copies/corrHistogramMaker.h"
#include "C:/Users/ajentsch/Desktop/D0_Analysis_Code_Local_Copies/histogramExtractAndSave.cxx"
/******************************
Author: Alex Jentsch
Most Recent Update: 6/27/2017
******************************/
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_t fexpo(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 exp(par[0] + par[1]*x[0]);
}
double calcScaleFactorforFit(double sigma)
{
double preFactor = TMath::Sqrt(TMath::PiOver2());
return preFactor*sigma*.5;
}
//Double_t SecH(
int corrHistogramMaker(){
TString binSubFolder = "dStar_angular_full_new_phi_binning"; //MAIN FILE NAME FOR INPUT
//-------------------------------------------------------------
//BEGIN VARIABLES SECTION
//-------------------------------------------------------------
int NUM_PHI_BINS = 16;
int NUM_ETA_BINS = 13;
int NUM_CENT_BINS = 16;
int NUM_VZ_BINS = 10;
int NUM_PT_BINS = 5; // the last pt-bin is currently the integrated bin. This needs to be reconfigured to have the integrated bin first so I am not pulling a bin out from the middle.
double NUM_FILES_COMBINED = 1;
double ETA_RANGE = 1.69;
double phiBinShift = (TMath::Pi()/16.0);
int FIRST_PT_BIN = 2;
double SBLScaleFactor = .5;
double SBRScaleFactor = .5;
//-----------------------
//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 << "Root Data File open. " << endl << endl;
//histogramExtractAndSave(file, path); //--THIS PRINTS A BUNCH OF QA STUFF -- TURNED OFF IN STPICOD0ANAMAKER FOR NOW
//cout<<"here"<< endl;
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[6] = {"0", "1", "2", "3", "4", ""};
TString PtBinLabel[6] = {"_PtBin_", "_PtBin_", "_PtBin_", "_PtBin_", "_PtBin_", ""};
TString PtSubFolders[6] = {"PtBin0/", "PtBin1/", "PtBin2/", "PtBin3/", "PtBin4/", "PtIntegrated/"};
TString outputFolders[9] = {"SibCorr/", "MixedCorr/", "ScaledMixedCorr/", "SibMinusScaledMixCorr/",
"delRho_over_rhoRefCorr/", "FullySubtractedCorr/", "USMinusLS/",
"SideBandSubtraction/", "Centralities/"};
TString invariantMassOutputFolders[6] = {"PtBin0/", "PtBin1/", "PtBin2/", "PtBin3/", "PtBin4/", "PtIntegrated/"};
TString invariantMassHistogramsFolder = "invariantMassHistograms/";
TString VzSubFolders[11] = {"VzBin0/", "VzBin1/", "VzBin2/", "VzBin3/", "VzBin4/", "VzBin5/", "VzBin6/", "VzBin7/", "VzBin8/", "VzBin9/", "VzIntegrated/"};
TString bandFolders[5] = {"LeftSideBand/","UnlikeSign/", "RightSideBand/", "LikeSign/", "SideBandAverage/"};
TH1D* oneDUSHistos[6][4];
TString oneDUSStrings[6] = {"D0_US_invMass_Pt_Bin_0", "D0_US_invMass_Pt_Bin_1", "D0_US_invMass_Pt_Bin_2", "D0_US_invMass_Pt_Bin_3", "D0_US_invMass_Pt_Bin_4", "unlikeSign"};
TH1D* oneDLSHistos[6][4];
TString oneDLSStrings[6] = {"LS_invMass_Pt_Bin_0", "LS_invMass_Pt_Bin_1", "LS_invMass_Pt_Bin_2", "LS_invMass_Pt_Bin_3", "LS_invMass_Pt_Bin_4", "LikeSignBG"};
TH1D* oneDScaledLSHistos[6][4];
TString oneDScaledLSStrings[6] = {"ScaledLS_PtBin_0", "ScaledLS_PtBin_1", "ScaledLS_PtBin_2", "ScaledLS_PtBin_3", "ScaledLS_PtBin_4", "ScaledLS"};
TH1D* oneDSubtractedInvMassHistos[6][4];
TString oneDSubtractedInvMassStrings[6] = {"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_PtBin_4","D0_Minus_Scaled_LS_BG"};
TH1D* oneDSubtractedInvMassHistosFunction[6][4];
TString oneDSubtractedInvMassStringsFunction[6] = {"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_PtBin_4", "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][6][10][16]; //Raw US sibling histograms binned by centrality
TH2D* mixCorrBin[4][6][10][16]; //Raw US mixed histograms binned by centrality
TH2D* scaledMixCorrBin[4][6][10][16]; //storage for the eventual scaled mixed US histograms
TH2D* sibMinusScaledMix[4][6][10][16]; // Raw US Sibling minus scaled mixed
TH2D* delRhoOverRhoRefBin[4][6][10][16];
TH2D* rootErrorsOnDelRhoOverRhoRef[4][6][10][16];
//ERRORS STORED HERE--ALL ERRORS STORED AS VARIANCES -- SQUARE ROOT MUST BE TAKEN FOR ACTUAL ERROR
double sibCorrBinStatErrors[4][6][10][16][9][12];
double mixCorrBinStatErrors[4][6][10][16][9][12];
double scaledMixCorrBinStatErrors[4][6][10][16][9][12];
double sibMinusScaledMixStatErrors[4][6][10][16][9][12];
double delRhoOverRhoRefBinStatErrors[4][6][10][16][9][12];
//------------------------------------------------------------------
TH2D* sibCorrBinVzInt[4][6][16];
TH2D* mixCorrBinVzInt[4][6][16];
TH2D* scaledMixCorrBinVzInt[4][6][16];
TH2D* sibMinusScaledMixVzInt[4][6][16];
TH2D* delRhoOverRhoRefBinVzInt[4][6][16];
TH1D* sibCorrBinPhiProj[4][6][10][16]; //Raw US sibling histograms binned by centrality
TH1D* mixCorrBinPhiProj[4][6][10][16]; //Raw US mixed histograms binned by centrality
TH1D* scaledMixCorrBinPhiProj[4][6][10][16]; //storage for the eventual scaled mixed US histograms
TH1D* sibMinusScaledMixPhiProj[4][6][10][16]; // Raw US Sibling minus scaled mixed
TH1D* delRhoOverRhoRefBinPhiProj[4][6][10][16];
TH1D* sibCorrBinPhiProjVzInt[4][6][16];
TH1D* mixCorrBinPhiProjVzInt[4][6][16];
TH1D* scaledMixCorrBinPhiProjVzInt[4][6][16];
TH1D* sibMinusScaledMixPhiProjVzInt[4][6][16];
TH1D* delRhoOverRhoRefBinPhiProjVzInt[4][6][16];
TH1D* sibCorrUSPhiProjMinusLSPhiProjVzInt[6][16];
TH2D* sideBandAverage[6][16];
TH1D* sideBandAveragePhiProj[6][16];
TH2D* fullySubtractedCorrSideBandCent[6][16];
TH1D* fullySubtractedCorrSideBandCentPhiProj[6][16];
TH2D* delRhoOverRhoRefBinVzIntCentInt[4][6][3];
TH1D* delRhoOverRhoRefBinVzIntCentIntPhiProj[4][6][3];
TH2D* fullySubtractedCorrLSCent[6][16];
TH1D* fullySubtractedCorrLSCentPhiProj[6][16];
//TH2D* mixCorrUSVzInt[3][16];
//TH2D* mixCorrLSVzInt[3][16];
//Correlations with integrated centralities
TH2D* fullySubtractedCorrCustomCentralityUS[6][3];
TH2D* fullySubtractedCorrCustomCentralityLS[6][3];
TH1D* fullySubtractedCorrCustomCentralityLSPhiProj[6][3];
TH2D* fullySubtractedCorrCustomCentralitySideBand[6][3];
TH1D* fullySubtractedCorrCustomCentralitySideBandPhiProj[6][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 errorsFromRootDelRhoOverRhoRef[4] = {"Errors_delRho_over_RhoRef_SideBandLeft_correlation", "Errors_delRho_over_RhoRef_US_correlation", "Errors_delRho_over_RhoRef_SideBandRight_correlation", "Errors_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][6][10][16];
double integralRawMixHistosVzInt[4][6][16];
//double integralRawMixHistos[4][4][10][16];
double integralRawMixHistosVzIntCentInt[4][6][3];
double scaleFactorVzCent = 0;
double scaleFactorVz = 0;
double scaleFactorLS = 0;
double LSScaleFactor[6][6] = {{1.0, 1.0, 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[6][4];
double BOverSPlusBFit[6][4];
double SPlusBOverSLS[6][4];
double SPlusBOverSFit[6][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 USSideBandLeftLow = 1.72; //1.62
double USSideBandLeftHigh = 1.80; //1.7
double USSideBandRightLow = 1.92; //2.0
double USSideBandRightHigh = 2.0; //2.1
double integralLeftSB = 0;
double integralRightSB = 0;
double SBAverage = 0;
double sqrtSPlusB = 1;
double integralFit = 0;
double DMesonSig = 0;
double integral = 0;
double signalOverBG = 0;
double optimizationFactor = 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
//------------------------------------------------------------------
/* //Fill Cuts histogram here for producing output text file
histOfCuts->SetBinContent(1, D0InvMassLow); //D0InvMassLow
histOfCuts->SetBinContent(2, D0InvMassHigh); //D0InvMassHigh
histOfCuts->SetBinContent(3, USSideBandLeftLow); //USSideBandLeftLow
histOfCuts->SetBinContent(4, USSideBandLeftHigh); //USSideBandLeftHigh
histOfCuts->SetBinContent(5, USSideBandRightLow); //USSideBandRightLow
histOfCuts->SetBinContent(6, USSideBandRightHigh); //USSideBandRightHigh
histOfCuts->SetBinContent(7, d0PtLow); //d0PtLow
histOfCuts->SetBinContent(8, d0PtHigh); //d0PtHigh
histOfCuts->SetBinContent(9, d0DaughterPionPtMin); //d0DaughterPionPtMin
histOfCuts->SetBinContent(10, d0DaughterKaonPtMin); //d0DaughterKaonPtMin
histOfCuts->SetBinContent(11, d0DecayLengthMax); //d0DecayLengthMax
histOfCuts->SetBinContent(12, d0TopologicalCutArray[0][0]); //d0DecayLengthMin
histOfCuts->SetBinContent(13, d0TopologicalCutArray[0][1]); //daughterDCA
histOfCuts->SetBinContent(14, d0TopologicalCutArray[0][2]); //d0DCAtoPV
histOfCuts->SetBinContent(15, d0TopologicalCutArray[0][3]); //pionDCA
histOfCuts->SetBinContent(16, d0TopologicalCutArray[0][4]); //kaonDCA
histOfCuts->SetBinContent(17, d0TopologicalCutArray[1][0]); //d0DecayLengthMin
histOfCuts->SetBinContent(18, d0TopologicalCutArray[1][1]); //daughterDCA
histOfCuts->SetBinContent(19, d0TopologicalCutArray[1][2]); //d0DCAtoPV
histOfCuts->SetBinContent(20, d0TopologicalCutArray[1][3]); //pionDCA
histOfCuts->SetBinContent(21, d0TopologicalCutArray[1][4]); //kaonDCA
histOfCuts->SetBinContent(22, d0TopologicalCutArray[2][0]); //d0DecayLengthMin
histOfCuts->SetBinContent(23, d0TopologicalCutArray[2][1]); //daughterDCA
histOfCuts->SetBinContent(24, d0TopologicalCutArray[2][2]); //d0DCAtoPV
histOfCuts->SetBinContent(25, d0TopologicalCutArray[2][3]); //pionDCA
histOfCuts->SetBinContent(26, d0TopologicalCutArray[2][4]); //kaonDCA
histOfCuts->SetBinContent(27, d0TopologicalCutArray[3][0]); //d0DecayLengthMin
histOfCuts->SetBinContent(28, d0TopologicalCutArray[3][1]); //daughterDCA
histOfCuts->SetBinContent(29, d0TopologicalCutArray[3][2]); //d0DCAtoPV
histOfCuts->SetBinContent(30, d0TopologicalCutArray[3][3]); //pionDCA
histOfCuts->SetBinContent(31, d0TopologicalCutArray[3][4]); //kaonDCA
histOfCuts->SetBinContent(32, d0TopologicalCutArray[4][0]); //d0DecayLengthMin
histOfCuts->SetBinContent(33, d0TopologicalCutArray[4][1]); //daughterDCA
histOfCuts->SetBinContent(34, d0TopologicalCutArray[4][2]); //d0DCAtoPV
histOfCuts->SetBinContent(35, d0TopologicalCutArray[4][3]); //pionDCA
histOfCuts->SetBinContent(36, d0TopologicalCutArray[4][4]); //kaonDCA
histOfCuts->SetBinContent(37, hadronPtMin); //hadronPtMin
histOfCuts->SetBinContent(38, hadronPtMax); //hadronPtMax
histOfCuts->SetBinContent(39, BUFFER_SIZE); //BUFFER_SIZE
histOfCuts->SetBinContent(40, NUM_PHI_BINS); //NUM_PHI_BINS
histOfCuts->SetBinContent(41, NUM_ETA_BINS); //NUM_ETA_BINS
histOfCuts->SetBinContent(42, 0); // Require HFT
histOfCuts->SetBinContent(43, trackChi2max); // chi2 cut
histOfCuts->SetBinContent(44, trackDCAtoPvtx); // DCA cut
histOfCuts->SetBinContent(49, 1); //Scale factor counter to produce text file
histOfCuts->SetBinContent(50, 0); //USE TOF STRICTLY
histOfCuts->SetBinContent(51, 0); //USE TOF HYBRID
histOfCuts->SetBinContent(52, 0); //USE DOUBLE MIS-PID PROTECTION
*/
double numEvents = 0;
numEvents = (((TH1I*) file->Get("number_of_events_used"))->GetBinContent(2))/(1000000);
ofstream cutFile;
TString cutFileName = "Cuts_and_data_information.txt";
TString cutOutputFile = path + cutFileName;
cutFile.open (cutOutputFile);
cutFile << "Important information about this data run" << endl << endl;
cutFile << "Number of Events: " << numEvents << "M Events" << endl << endl;
NUM_FILES_COMBINED = ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(49);
((TH1D*) file->Get("HistOfCuts"))->Scale(1/NUM_FILES_COMBINED);
cutFile << "Trigger D0 Cuts" << endl << endl;
cutFile << "D0 InvMass Signal Band -\t" << "Low: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(1) << "\t" << "High: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(2) << endl;
cutFile << "D0 SideBandLeft Band -\t" << "Low: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(3) << "\t" << "High: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(4) << endl;
cutFile << "D0 SideBandRight Band -\t" << "Low: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(5) << "\t\t" << "High: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(6) << endl;
cutFile << "D0 Pt Cuts -\t" << "Low: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(7) << "\t\t" << "High: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(8) << endl;
cutFile << "D0 DecayLengthMax(no upper bound) -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(11) << endl;
cutFile << "D0 DaughterPtCut -\t" << "Pi : " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(9) << "\t" << "K : " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(10) << endl;
cutFile << "Use TOF STRICT: -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(50) << endl;
cutFile << "Use TOF HYBRID: -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(51) << endl;
cutFile << "Use DOUBLE MIS_PID_PROTECTION: -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(52) << endl;
cutFile << endl << "_____________________________________________________________" << endl;
cutFile << endl << "D0 pt 0-1 GeV/c cuts" << endl;
cutFile << "D0 DecayLengthMinimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(12) << endl;
cutFile << "D0 DaughterDCAMaximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(13) << endl;
cutFile << "D0 DCA to PV Maximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(14) << endl;
cutFile << "Daughter Pion DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(15) << endl;
cutFile << "Daughter Kaon DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(16) << endl;
cutFile << endl << "_____________________________________________________________" << endl;
cutFile << endl << "D0 pt 1.2-2 GeV/c cuts" << endl;
cutFile << "D0 DecayLengthMinimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(17) << endl;
cutFile << "D0 DaughterDCAMaximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(18) << endl;
cutFile << "D0 DCA to PV Maximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(19) << endl;
cutFile << "Daughter Pion DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(20) << endl;
cutFile << "Daughter Kaon DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(21) << endl;
cutFile << endl <<"_____________________________________________________________"<< endl;
cutFile << endl << "D0 pt 2-3 GeV/c cuts" << endl;
cutFile << "D0 DecayLengthMinimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(22) << endl;
cutFile << "D0 DaughterDCAMaximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(23) << endl;
cutFile << "D0 DCA to PV Maximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(24) << endl;
cutFile << "Daughter Pion DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(25) << endl;
cutFile << "Daughter Kaon DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(26) << endl;
cutFile << endl <<"_____________________________________________________________"<< endl;
cutFile << endl << "D0 pt 3-4 GeV/c cuts" << endl;
cutFile << "D0 DecayLengthMinimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(27) << endl;
cutFile << "D0 DaughterDCAMaximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(28) << endl;
cutFile << "D0 DCA to PV Maximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(29) << endl;
cutFile << "Daughter Pion DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(30) << endl;
cutFile << "Daughter Kaon DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(31) << endl;
cutFile << endl << "_____________________________________________________________" << endl;
cutFile << endl << "D0 pt 4-10 GeV/c cuts" << endl;
cutFile << "D0 DecayLengthMinimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(32) << endl;
cutFile << "D0 DaughterDCAMaximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(33) << endl;
cutFile << "D0 DCA to PV Maximum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(34) << endl;
cutFile << "Daughter Pion DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(35) << endl;
cutFile << "Daughter Kaon DCA to PV minimum -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(36) << endl;
cutFile << endl << "------------------------------------------" << endl << "Associated hadron Cuts" << endl << endl;
cutFile << "associated hadron Pt -\t" << "Low: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(37) << "\t" << "High: " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(38) << endl;
cutFile << "Num of events used to mix -\t" << ": " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(39) << endl;
cutFile << "HFT Tracks only?? -\t" << "YES(1), NO(0): " << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(42) << endl;
cutFile << "Track Chi2 Max: -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(43) << endl;
cutFile << "Track DCA Max: -\t" << ((TH1D*) file->Get("HistOfCuts"))->GetBinContent(44) << endl;
cutFile.close();
//---------------------------------------------
//BEGIN INVARIANT MASS HISTOGRAM INFORMATION
//---------------------------------------------
ofstream invariantMassInfo;
TString invariantMassInfoName = "Signal_and_background_information.txt";
TString invariantMassInfoFile = path + invariantMassInfoName;
invariantMassInfo.open (invariantMassInfoFile);
double sigPerBin[5][3];
for(int k = FIRST_PT_BIN; 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);
binMassLowUS = oneDUSHistos[k][i]->GetXaxis()->FindBin(USSideBandLeftLow); //calculate the integral number in the LEFT SB
binMassHighUS = oneDUSHistos[k][i]->GetXaxis()->FindBin(USSideBandLeftHigh);
integralLeftSB = oneDUSHistos[k][i]->Integral(binMassLowUS, binMassHighUS);
binMassLowUS = oneDUSHistos[k][i]->GetXaxis()->FindBin(USSideBandRightLow); //calculate the integral number in the RIGHT SB
binMassHighUS = oneDUSHistos[k][i]->GetXaxis()->FindBin(USSideBandRightHigh);
integralRightSB = oneDUSHistos[k][i]->Integral(binMassLowUS, binMassHighUS);
SBAverage = .5*(integralLeftSB + integralRightSB);
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 << "____________________________________________________________________________________________________" << endl;
invariantMassInfo << "PtBin (0: 0-1, 1: 1-2, 2: 2-3, 3: 3-5, 4: 5-10, 5: all): " << k << endl;
invariantMassInfo << "CentBin (0: per, 1: mid, 2: cent, 3: all): " << i << endl;
//cout << "LS Scale Factor: " << LSScaleFactor[i] << endl;
invariantMassInfo << endl << "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
signalOverBG = integralFit/(countsPeakRegionUS-integralFit);
optimizationFactor = ((signalOverBG*signalOverBG)*((countsPeakRegionUS-integralFit)*(countsPeakRegionUS-integralFit)))/((countsPeakRegionUS-integralFit)*(signalOverBG+2));
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;
invariantMassInfo << endl << "Signal over background (S/B): " << signalOverBG << endl;
invariantMassInfo << "Optimization Factor: " << optimizationFactor << endl << endl;
//invariantMassInfo << endl << "Left SB: " << integralLeftSB << endl;
//invariantMassInfo << "Right SB: " << integralRightSB << endl;
//invariantMassInfo << endl << "SB Average (how close is it to B?): " << SBAverage << endl << 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;
sigPerBin[k][i] = DMesonSig;
tmp = "#frac{S}{#sqrt{S+B}} = ";
str1 = Form("%.2f",DMesonSig);
str2 = tmp + str1;
invariantMassInfo << "D0 Significance: " << DMesonSig << endl << 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 processed and S & B calculated for each Pt/Centrality bin" << endl << endl;
//Print EPS file for Lanny DOE review
//------------------------------------------
//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 = FIRST_PT_BIN; 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){
c->Clear();
sibCorrBin[band][k][j][i]->SetStats(0);
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 << 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 = FIRST_PT_BIN; 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 = FIRST_PT_BIN; 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 DELTA RHO HERE
**********************************************************************************/
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 = FIRST_PT_BIN; 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];