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drawPlots.C
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drawPlots.C
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#include <iostream>
#include <stdexcept>
#include <vector>
#include "TChain.h"
#include "TLegend.h"
#include "TCanvas.h"
#include "TColor.h"
#include "THStack.h"
#include "TGaxis.h"
#include "TCut.h"
#include "TH1D.h"
#include "External/CTable.cpp"
#include "External/tdrstyle_SUSY.C"
#include "computeErrors.C"
#include "ConfigParser.C"
#include "ConfigHelper.C"
#include "HistTools.C"
using namespace std;
std::array<int, 14> ROOT_COLOR_PALATE = {46,8,9,38,17,2,30,6,28,42,3,5,7,41};
/*std::pair<double,double> getLegendLocation(TH1D* bg_sum){
// Returns the best (xmin, ymin) pair for the location of the legend
}*/
double errMult(double A, double B, double errA, double errB, double C) {
return sqrt(C*C*(pow(errA/A,2) + pow(errB/B,2)));
}
float err_binomial(float A, float B, float errA, float errB) {
/*
returns the error on C = A/(A+B)
note that if A and B are integers, simplifies to sqrt((C * (1-C)) / (A+B))
or thinking of an efficiency, sqrt((eff * (1-eff)) / N)
*/
return (1/pow(A+B,2)) * sqrt(pow(B*errA,2) + pow(A*errB,2));
}
void drawLatexFromTString(TString text, double x_low, double y_low){
TLatex *lumitex = NULL;
lumitex = new TLatex(x_low, y_low , text );
lumitex->SetNDC();
lumitex->SetTextSize(30);
lumitex->SetLineWidth(2);
lumitex->SetTextFont(43);
lumitex->Draw();
return;
}
bool TH1DIntegralSort(TH1D* hist_1, TH1D* hist_2){
return (hist_1->Integral() < hist_2->Integral()) ;
}
bool LabeledHistSort(pair<TH1D*,TString> hist_1, pair<TH1D*,TString> hist_2){
return (hist_1.first->Integral() < hist_2.first->Integral()) ;
}
void drawCMSLatex(double luminosity){
TLatex *lumitex = NULL;
double height=1.01-gPad->GetTopMargin();
float left_margin = gPad->GetLeftMargin();
// lumitex = new TLatex(0.66,0.955, Form("%.1f fb^{-1} (13 TeV)", luminosity) );
if (luminosity < 1){
lumitex = new TLatex(.9-left_margin, height , Form("%.1f pb^{-1} (13 TeV)", luminosity*1000) );
}
else{
lumitex = new TLatex(.9-left_margin, height , Form("%.1f fb^{-1} (13 TeV)", luminosity) );
}
// lumitex = new TLatex(0.66,0.955, Form("few pb^{-1} (13 TeV)") );
lumitex->SetNDC();
lumitex->SetTextSize(0.04);
lumitex->SetLineWidth(2);
lumitex->SetTextFont(42);
lumitex->Draw();
TLatex *cmstex = NULL;
//cmstex = new TLatex(left_margin, height, "#it{CMS #bf{Preliminary}}" );
cmstex = new TLatex(left_margin, height, "CMS" );
cmstex->SetNDC();
cmstex->SetTextSize(0.06);
cmstex->SetLineWidth(2);
cmstex->SetTextFont(61);
cmstex->Draw();
return;
}
void drawSRText(TString SR, double high_y, double low_x){
cout<<"Drawing SR Text"<<endl;
TString text;
float left_margin = gPad->GetLeftMargin();
if(SR == "Strong_Bveto_2j"){
//text="#splitline{2-3 jets; No b-tags}{H_{T} > 500 GeV; M_{T2} > 80 GeV}";
text="SRA, b veto";
}
else if(SR == "Strong_Bveto_4j"){
//text="#splitline{4-5 jets; No b-tags}{H_{T} > 500 GeV; M_{T2} > 80 GeV}";
text="SRB, b veto";
}
else if(SR == "Strong_Bveto_6j"){
//text="#splitline{#geq 6 jets; No b-tags}{M_{T2} > 80 GeV}";
text="SRC, b veto";
}
else if(SR == "Strong_Btag_2j"){
//text="#splitline{2-3 jets; #geq 1 b-tags}{H_{T} > 200 GeV; M_{T2} > 100 GeV}";
text="SRA, b tag";
}
else if(SR == "Strong_Btag_4j"){
//text="#splitline{4-5 jets; #geq 1 b-tags}{H_{T} > 200 GeV; M_{T2} > 100 GeV}";
text="SRB, b tag";
}
else if(SR == "Strong_Btag_6j"){
//text="#splitline{#geq 6 jets; #geq 1 b-tags}{M_{T2} > 100 GeV}";
text="SRC, b tag";
}
else if(SR == "TChiWZ"){
text="EW VZ Region";
}
else if(SR == "TChiHZ"){
text="EW HZ Region";
}
else{
cout<<"Coult not match SR: "<<SR<<endl;
}
cout<<"y_max: "<<high_y<<endl;
//TLatex *SRText = new TLatex(low_x, high_y, text.Data()); //Doesn't work because splitline was coded by an asshole
TLatex *SRText = new TLatex(left_margin+.05, .85, text.Data()); //just awful style, thanks ROOT.
SRText->SetNDC();
SRText->SetTextSize(0.07);
SRText->SetLineWidth(2);
SRText->SetTextFont(62);
SRText->Draw();
return;
}
TString drawArbitraryNumberWithResidual(ConfigParser *conf){
// This method expects conf to have a plot config loaded in already.
//In the conf, we expect there to be hist names of the form file_N_path,
//hist_n_name, starting with 0 for the primary histogram, which is normally
//going to be the data events in our signal region. The rest of the hists, starting
//from 1, are added to a THStack which is normalized to hist_0 in the bin 0-50.
//num_hists should be the number of the number of histograms in the plot.
TString errors="";
TGraphAsymmErrors *prediction_errors;
int num_hists=stoi(conf->get("num_hists"));
int BG_sum_from=(conf->get("BG_sum_from") != "") ? stoi(conf->get("BG_sum_from")) : 1;
if (num_hists < 2){
return TString("Less than Two hists can not be turned into a residual plot, please call drawSingleTH1");
}
//Add files from which to obtain histos
TString default_hist_dir = getDefaultHistDir(conf);
vector<TFile*> hist_files (num_hists);
for (int i = 0; i<num_hists; i++){
TString sample_loc = "";
if (conf->get("file_"+to_string(i)+"_path") != ""){
sample_loc = TString(conf->get("file_"+to_string(i)+"_path"));
}
else{
sample_loc = default_hist_dir+conf->get("sample_"+to_string(i))+".root";
}
hist_files[i]=new TFile(sample_loc);
}
cout << "Found files "<<endl;
TString plot_name = conf->get("plot_name");
double xmax = stod(conf->get("xmax"));
double xmin = stod(conf->get("xmin"));
double bin_size;
if (conf->get("bin_size") != ""){
bin_size = stod(conf->get("bin_size"));
}
else{
bin_size=1;
}
//Get name of hist to read from file
vector<TString> hist_names (num_hists);
for (int i = 0; i<num_hists; i++){
if (conf->get("hist_"+to_string(i)+"_name") != ""){
hist_names[i]=conf->get("hist_"+to_string(i)+"_name");
}
else{
hist_names[i]= conf->get("hist_0_name");
}
}
//Get labels for TLegend
vector<TString> hist_labels (num_hists);
for (int i = 0; i<num_hists; i++){
hist_labels[i]=parseLatex(conf->get("hist_"+to_string(i)+"_label"));
}
cout<<"Hist names set"<<endl;
TString xlabel=parseLatex(conf->get("xlabel"));
TString ylabel=parseLatex(conf->get("ylabel"));
TString save_dir=(conf->get("save_dir") != "") ? conf->get("save_dir") : getOutputDir(conf, "plot");
TString plot_title=parseLatex(conf->get("title"));
cout << "Making Plots for: "<<plot_name<<endl;
vector<TH1D*> hists (num_hists);
for (int i = 0; i<num_hists; i++){
hists[i] = (TH1D*) ((TH1D*) hist_files[i]->Get(hist_names[i]))->Clone("hist_"+to_string(i)+"_"+plot_name);
cout<<hist_names[i]<<" found in "<<hist_files[i]->GetName()<<endl;
cout<<hist_labels[i]<<" Integral bin 0 to bin 100 Content: "<<hists[i]->Integral(0,100)<<endl;
}
cout << "Histograms pulled from files, adding draw options"<<endl;
//cout<<__LINE__<<endl;
//============================================
// Draw Data-MC Plots
//============================================
//cout<<__LINE__<<endl;
TCanvas * c = new TCanvas("c","",2000,2000);
c->cd();
gPad->SetRightMargin(0.05);
gPad->Modified();
gStyle->SetOptStat(kFALSE);
TPad *fullpad = new TPad("fullpad", "fullpad", 0,0,1,1);
//cout<<__LINE__<<endl;
fullpad->Draw();
fullpad->cd();
//cout<<__LINE__<<endl;
TPad *plotpad = new TPad("plotpad", "plotpad",0,0.2,1.0,0.99);
plotpad->SetRightMargin(0.05);
if (conf->get("ExtraRightMargin") == "true")
{
plotpad->SetRightMargin(0.08);
}
plotpad->SetBottomMargin(0.12);
//cout<<__LINE__<<endl;
plotpad->Draw();
plotpad->cd();
//cout<<__LINE__<<endl;
if (conf->get("logy") == "true")
{
cout<<"Plot tagged for log y-axis"<<endl;
plotpad->SetLogy();
}
//cout<<__LINE__<<endl;
if (conf->get("bin_size") != ""){
for (int i = 0; i<num_hists; i++){
hists[i]->Rebin(bin_size);
}
}
else if (conf->get("binning") != ""){
cout<<"here"<<endl;
vector<double> binning = parseVector(conf->get("binning"));
for (int i = 0; i<num_hists; i++){
hists[i] = (TH1D*) hists[i]->Rebin(binning.size()-1, TString(hist_names[i]+"_rebin"), &binning[0]);
}
}
cout<<"===========================================\nRebin\n===========================================\n";
for (int i = 0; i<num_hists; i++){
cout<<hist_labels[i]<<" Integral bin 0 to bin 100 Content: "<<hists[i]->Integral(hists[i]->FindBin(0),hists[i]->FindBin(100))<<endl;
}
//===========================
// Normalize
//===========================
//cout<<__LINE__<<endl;
TH1D* clonedBG_norm = NULL;
TH1D* clonedPrimary_norm = (TH1D*) hists[0]->Clone("clonedPrimary_forNorm_"+plot_name);
double numEventsData, numEventsMC, errEventsMC;
int norm_bin;
//Add scale factors like RSFOF
cout<<"Scaling Hists"<<endl;
for (int i=0; i < num_hists; i++){
if (conf->get("hist_"+to_string(i)+"_scale") != ""){
hists[i]->Scale(stod(conf->get("hist_"+to_string(i)+"_scale")));
}
}
cout<<"Zeroing Negative Numbers"<<endl;
for (int i=0; i < num_hists; i++){
zeroNegatives(hists[i]);
}
if (conf->get("normalize") == "true"){
TString hist_nums_for_norm = conf->get("normalize_hist_nums");
cout<<"Normalizing hists: "<<hist_nums_for_norm<<endl;
//cout<<__LINE__<<endl;
//This if statement is used when there is
//special normalization being done. This part of
//the code makes a proxy for the BG sum and for the
//primary hist (hists[0]). The primary proxy is just a clone,
//the BG proxy is the sum of all the hists that are named in
//hist_nums_for_norm. If subrtact_non_normed is also true then
//the hists not marked to be normalized will be subtracted from the
//primary before the scale factors are calculated.
if (hist_nums_for_norm != ""){ //if not all hists to be normed.
//cout<<__LINE__<<endl;
for (int i=1; i<num_hists; i++){ //for each hist
if (hist_nums_for_norm.Contains(to_string(i))){ //if hist is in list to be normed
cout<<"Adding hist "<<i<<" to normalization BG."<<endl;
//cout<<__LINE__<<endl;
if (clonedBG_norm == NULL){ //Make new clonedBG
//cout<<__LINE__<<endl;
clonedBG_norm = (TH1D*) hists[i]->Clone("clonedBG_forNorm_"+plot_name);
cout<<hist_labels[i]<<": original-num "<<hists[i]->GetBinContent(1)<<endl;
}
else{
//cout<<__LINE__<<endl;
clonedBG_norm->Add(hists[i]); //Add to clonedBG
cout<<hist_labels[i]<<": original-num "<<hists[i]->GetBinContent(1)<<endl;
}
//cout<<__LINE__<<endl;
}
}
}
else{ //otherwise put all hists in clonedBG
clonedBG_norm = (TH1D*) hists[1]->Clone("clonedBG_forNorm_"+plot_name);
for (int i=2; i<num_hists; i++){
clonedBG_norm->Add(hists[i]);
}
}
//cout<<__LINE__<<endl;
//check to make sure bg hist is not empty
if (clonedBG_norm == NULL){
return TString("Check the normalize_hist_nums opt, no hists in range labeled for normalization");
}
//cout<<__LINE__<<endl;
if (conf->get("subtract_non_normed")=="true"){
//cout<<__LINE__<<endl;
for (int i=1; i<num_hists; i++){
//cout<<__LINE__<<endl;
if( ! hist_nums_for_norm.Contains(to_string(i))){
//cout<<__LINE__<<endl;
cout<<hist_labels[i]<<": subtracting "<<hists[i]->GetBinContent(1)<<endl;
clonedPrimary_norm->Add(hists[i], -1); //subtract
}
}
zeroNegatives(clonedPrimary_norm);
}
//cout<<__LINE__<<endl;
//double numEventsData; -- Now made more global, defined above
double scaleFactor;
if (conf->get("norm_0_50") == "true")
{
numEventsData = clonedPrimary_norm->Integral(clonedPrimary_norm->FindBin(0),clonedPrimary_norm->FindBin(49.9));
numEventsMC = clonedBG_norm->IntegralAndError(clonedBG_norm->FindBin(0),clonedBG_norm->FindBin(49.9), errEventsMC);
norm_bin = -1;
}
else if (conf->get("norm_50_100") == "true"){
numEventsData = clonedPrimary_norm->Integral(clonedPrimary_norm->FindBin(50),clonedPrimary_norm->FindBin(99.9));
numEventsMC = clonedBG_norm->IntegralAndError(clonedBG_norm->FindBin(50),clonedBG_norm->FindBin(99.9), errEventsMC);
norm_bin = 0;
}
else{
numEventsData = clonedPrimary_norm->Integral(0,-1);
numEventsMC = clonedBG_norm->IntegralAndError(0,-1, errEventsMC);
norm_bin = -1;
}
//cout<<__LINE__<<endl;
cout<<"Num Events Primary: "<<numEventsData<<endl;
cout<<"Num Events BG: "<<numEventsMC<<endl;
//rescale everything to scale factor
scaleFactor = ((double) numEventsData/numEventsMC);
cout<<"Applying scale factor "<<scaleFactor<<" to MET templates hist."<<endl;
for (int i = 1; i<num_hists; i++){
if (hist_nums_for_norm.Contains(to_string(i)) || hist_nums_for_norm == "" ){
cout<<i<<" "<<hist_labels[i]<<" SF: "<<scaleFactor<<endl;
hists[i]->Scale(scaleFactor); //if hist is marked for norm or no hists marked for norms.
cout<<hist_labels[i]<<" count: "<<hists[i]->GetBinContent(1)<<endl;
}
}
}
cout<<"===========================================\nNorm\n===========================================\n";
for (int i = 0; i<num_hists; i++){
cout<<hist_labels[i]<<" Integral bin 0 to bin 100 Content: "<<hists[i]->Integral(hists[i]->FindBin(0),hists[i]->FindBin(100))<<endl;
}
//Create sum of background samples
TH1D *bg_sum = (TH1D*) hists[BG_sum_from]->Clone("bg_sum_"+plot_name);
bg_sum->SetTitle("Sum of background samples");
//cout<<__LINE__<<endl;
for (int i=BG_sum_from+1; i<num_hists; i++){
bg_sum->Add(hists[i]);
}
//cout<<__LINE__<<endl;
for (int i = 0; i<num_hists; i++){
cout<<hist_labels[i]<<": after-reweight "<<hists[i]->GetBinContent(1)<<endl;
}
delete clonedPrimary_norm;
delete clonedBG_norm;
//cout<<__LINE__<<endl;
//===========================
// SET MC COLORS
//===========================
//cout<<__LINE__<<endl;
for (int i = 1; i<num_hists; i++){
//cout<<__LINE__<<endl;
hists[i]->SetFillColor(ROOT_COLOR_PALATE[(i-1) % ROOT_COLOR_PALATE.size()]);
//cout<<__LINE__<<endl;
hists[i]->SetFillStyle(1001);
}
//cout<<__LINE__<<endl;
hists[0]->SetMarkerStyle(20);
hists[0]->SetMarkerColor(kBlack);
//cout<<__LINE__<<endl;
//===========================
// Find Plot Maxima
//===========================
//cout<<__LINE__<<endl;
double ymax = 0;
double ymin = 0;
TH1D* clonedBG = (TH1D*) bg_sum->Clone("clonedBG_forReweight_"+plot_name);
TH1D* clonedPrimary = (TH1D*) hists[0]->Clone("clonedPrimary_forReweight_"+plot_name);
//cout<<__LINE__<<endl;
clonedPrimary->GetXaxis()->SetRangeUser(xmin, xmax);
clonedBG->GetXaxis()->SetRangeUser(xmin,xmax);
//cout<<__LINE__<<endl;
if (conf->get("ymax") != ""){
ymax = stod(conf->get("ymax"));
}
else{
if (clonedBG->GetMaximum() < clonedPrimary->GetMaximum()){
ymax = 1.2*clonedPrimary->GetMaximum();
}
else {
ymax = 1.2*clonedBG->GetMaximum();
}
}
if (conf->get("logy") == "true"){
ymax *= 10;
ymin = 0.1;
}
if (conf->get("ymin") != ""){
ymin = stod(conf->get("ymin"));
}
//cout<<__LINE__<<endl;
cout<<"Primary Max: "<< clonedPrimary->GetMaximum() << " Secondary Max: "<< clonedBG->GetMaximum() <<endl;
cout<<"Proper plot maximum set to "<<ymax<<endl;
delete clonedBG;
delete clonedPrimary;
//cout<<__LINE__<<endl;
TH2F* h_axes = new TH2F(Form("%s_axes",plot_name.Data()),plot_title,hists[0]->GetNbinsX(),xmin,xmax,1000,ymin,ymax);
//-----------------------
// AXES FIX
//-----------------------
cout<<"Setting axis names"<<endl;
h_axes->GetXaxis()->SetTitle(xlabel);
h_axes->GetYaxis()->SetTitle(ylabel);
//cout<<__LINE__<<endl;
gStyle->SetTitleW(0.6);
gStyle->SetTitleH(0.06);
//gStyle->SetTitleFont(12);
//===========================
// Print Closure Stats
//===========================
cout<<"===========================================\nPrint Stats\n===========================================\n";
for (int i = 0; i<num_hists; i++){
cout<<hist_labels[i]<<" Integral bin 0 to bin 100 Content: "<<hists[i]->Integral(hists[i]->FindBin(0),hists[i]->FindBin(100))<<endl;
}
if (conf->get("print_stats") == "true"){
vector<pair<double,double>> stats_bins;
int j = 0;
//cout<<__LINE__<<endl;
while (conf->get("stats_"+to_string(j)+"_low_val") != "" ){
stats_bins.push_back(make_pair(stod(conf->get("stats_"+to_string(j)+"_low_val")),stod(conf->get("stats_"+to_string(j)+"_high_val"))));
j++;
}
//cout<<__LINE__<<endl;
if(conf->get("simple_errors") == "true"){
vector<vector<pair<double, double>>> stats; //holds a pair of count error for each sample, and the bg sum
double count, error;
vector<pair<double,double>> stat_row;
//cout<<__LINE__<<endl;
//Loop over the stats bins
// Build Table ========================================================
for(int i = 0 ; i < (int)hists.size(); i++){
for(int st_bin=0; st_bin < (int) stats_bins.size(); st_bin++){
//cout<<__LINE__<<endl;
count = hists[i]->IntegralAndError(hists[i]->FindBin(stats_bins[st_bin].first), hists[i]->FindBin(stats_bins[st_bin].second - 0.01), error);
stat_row.push_back(make_pair(count,error));
}
stats.push_back(stat_row);
stat_row.clear();
}
if (conf->get("templates_closure") == "true"){
//Tack on Ratio row
double zjets_count, zjets_err;
for(int st_bin=0; st_bin < (int) stats_bins.size(); st_bin++){
count = bg_sum->IntegralAndError(bg_sum->FindBin(stats_bins[st_bin].first), bg_sum->FindBin(stats_bins[st_bin].second - 0.01), error);
zjets_count = stats[0][st_bin].first;
zjets_err = stats[0][st_bin].second;
cout<<"zjets_count: "<<zjets_count<<" zjets_err: "<<zjets_err<<endl;
cout<<"count: "<<count<<"err: "<<error<<endl;
error = (1./count)*(sqrt( pow(zjets_err, 2) + pow(zjets_count * error / count, 2) ) );
count = zjets_count / count;
stat_row.push_back(make_pair(count,error));
}
stats.push_back(stat_row);
}
else {
//Tack on BG sum row
for(int st_bin=0; st_bin < (int) stats_bins.size(); st_bin++){
count = bg_sum->IntegralAndError(bg_sum->FindBin(stats_bins[st_bin].first), bg_sum->FindBin(stats_bins[st_bin].second - 0.01), error);
stat_row.push_back(make_pair(count,error));
}
stats.push_back(stat_row);
}
// End Table Building ==================================================
// Print Table =========================================================
CTable table;
table.setPrecision(2);
//Set Column Labels
//cout<<__LINE__<<endl;
table.setTitle(Form("Efficiencies for %s",plot_name.Data()));
table.useTitle();
for (int st_bin=0; st_bin < (int) stats_bins.size(); st_bin++){
//cout<<__LINE__<<endl;
table.setColLabel(Form("%.2f-%.2f",stats_bins[st_bin].first, stats_bins[st_bin].second), st_bin);
}
//cout<<__LINE__<<endl;
if (conf->get("templates_closure") == "true"){
//Output Rows for samples
for(int row = 0; row <= (int) hists.size(); row++ ){
if (row == hists.size()){
table.setRowLabel("Ratio", hists.size());
}
else{
table.setRowLabel(hist_labels[row], row);
}
for(int col=0; col < (int) stats_bins.size(); col++){
//cout<<__LINE__<<endl;
table.setCell(Form("%.2f+/-%.2f", stats[row][col].first, stats[row][col].second), row, col);
}
}
}
else{
//Output Rows for samples
for(int row = 0; row <= (int) hists.size(); row++ ){
if (row == hists.size()){
table.setRowLabel("Sum of BG", hists.size());
}
else{
table.setRowLabel(hist_labels[row], row);
}
for(int col=0; col < (int) stats_bins.size(); col++){
//cout<<__LINE__<<endl;
table.setCell(Form("%.2f+/-%.2f; Eff: %.2f", stats[row][col].first, stats[row][col].second, stats[row][col].first/stats[row][0].first), row, col);
}
}
}
//cout<<__LINE__<<endl;
table.print();
TString conf_id = conf->get("conf_path");
conf_id.ReplaceAll("//","/");
conf_id.ReplaceAll("/","_");
conf_id = conf_id(8, conf_id.Last('.')-8);
table.saveTex(Form("outputs/efficiency_table_%s.tex", conf_id.Data()));
}
else{
//========================
//Get Normalization
//========================
double normalization = numEventsData;
//cout<<__LINE__<<endl;
vector<double> template_count;
vector<double> template_error;
double t_err; //placeholder for template error
double r_err;
vector<double> rare_count, TTV_count, VVV_count, WZ_count, ZZ_count;
vector<double> rare_err, TTV_err, VVV_err, WZ_err, ZZ_err;
vector<double> FS_count;
for (int i=0; i < num_hists; i++){
if (conf->get("hist_"+to_string(i)+"_scale") != ""){
hists[i]->Scale(1/stod(conf->get("hist_"+to_string(i)+"_scale")));
}
}
vector<double> signal_count;
//cout<<__LINE__<<endl;
//Fill in all the counts and statstical errors for each stat bin in this loop.
//Then we run the full error computations after.
//=======================================
// Get Bin Counts and Statistical Errors
//=======================================
for (int i = 0; i < stats_bins.size(); i++){
signal_count.push_back(hists[0]->Integral(hists[0]->FindBin(stats_bins[i].first), hists[0]->FindBin(stats_bins[i].second - 0.001)));
FS_count.push_back(hists[5]->Integral(hists[5]->FindBin(stats_bins[i].first), hists[5]->FindBin(stats_bins[i].second - 0.001)));
//cout<<__LINE__<<endl;
template_count.push_back(hists[6]->IntegralAndError(hists[6]->FindBin(stats_bins[i].first), hists[6]->FindBin(stats_bins[i].second - 0.001), t_err));
template_error.push_back(t_err);
//cout<<__LINE__<<endl;
//Need to fill these so no seg fault, will be replaced by IntegralAndError
ZZ_err.push_back(0);
WZ_err.push_back(0);
VVV_err.push_back(0);
TTV_err.push_back(0);
ZZ_count.push_back(hists[1]->IntegralAndError(hists[1]->FindBin(stats_bins[i].first), hists[1]->FindBin(stats_bins[i].second - 0.001), ZZ_err[i]));
ZZ_err[i] = sqrt(ZZ_err[i]*ZZ_err[i]);
//cout<<__LINE__<<endl;
WZ_count.push_back(hists[2]->IntegralAndError(hists[2]->FindBin(stats_bins[i].first), hists[2]->FindBin(stats_bins[i].second - 0.001), WZ_err[i]));
WZ_err[i] = sqrt(WZ_err[i]*WZ_err[i]);
//From when Vince had WZ and ZZ together
//ZZ_count[i] += hists[2]->IntegralAndError(hists[2]->FindBin(stats_bins[i].first), hists[2]->FindBin(stats_bins[i].second - 0.001), r_err);
//cout<<__LINE__<<endl;
VVV_count.push_back(hists[3]->IntegralAndError(hists[3]->FindBin(stats_bins[i].first), hists[3]->FindBin(stats_bins[i].second - 0.001), VVV_err[i]));
//cout<<__LINE__<<endl;
TTV_count.push_back(hists[4]->IntegralAndError(hists[4]->FindBin(stats_bins[i].first), hists[4]->FindBin(stats_bins[i].second - 0.001), TTV_err[i]));
//cout<<__LINE__<<endl;
}
//=========================
// Compute Full Errors
//=========================
//Compute Rare Sample Errors
//Get Rare Scale factors
double ZZ_scale = (conf->get("hist_1_scale") == "") ? 1 : stod(conf->get("hist_1_scale"));
double WZ_scale = (conf->get("hist_2_scale") == "") ? 1 : stod(conf->get("hist_2_scale"));
double VVV_scale = (conf->get("hist_3_scale") == "") ? 1 : stod(conf->get("hist_3_scale"));
double TTV_scale = (conf->get("hist_4_scale") == "") ? 1 : stod(conf->get("hist_4_scale"));
double ZZ_scale_unc = (conf->get("hist_1_scale_unc") == "") ? .5 : stod(conf->get("hist_1_scale_unc"));
double WZ_scale_unc = (conf->get("hist_2_scale_unc") == "") ? .3 : stod(conf->get("hist_2_scale_unc"));
double VVV_scale_unc = (conf->get("hist_3_scale_unc") == "") ? .5 : stod(conf->get("hist_3_scale_unc"));
double TTV_scale_unc = (conf->get("hist_4_scale_unc") == "") ? .3 : stod(conf->get("hist_4_scale_unc"));
for (int i = 0; i < ZZ_err.size(); i++){
cout<<"RAREDEBUG| bin "<<i<<": ZZ (scaled): "<<ZZ_count[i]<<" +/- "<<ZZ_err[i]<<" ("<<ZZ_count[i]*ZZ_scale<<")"<<endl;
cout<<"RAREDEBUG| bin "<<i<<": WZ (scaled): "<<WZ_count[i]<<" +/- "<<WZ_err[i]<<" ("<<WZ_count[i]*WZ_scale<<")"<<endl;
cout<<"RAREDEBUG| bin "<<i<<": VVV (scaled): "<<VVV_count[i]<<" +/- "<<VVV_err[i]<<" ("<<VVV_count[i]*VVV_scale<<")"<<endl;
cout<<"RAREDEBUG| bin "<<i<<": TTZ (scaled): "<<TTV_count[i]<<" +/- "<<TTV_err[i]<<" ("<<TTV_count[i]*TTV_scale<<")"<<endl;
}
//Compute rare errors
ZZ_err = getRareSamplesError(ZZ_err, ZZ_count, ZZ_scale, ZZ_scale_unc, conf->get("SR"));
//cout<<__LINE__<<endl;
WZ_err = getRareSamplesError(WZ_err, WZ_count, WZ_scale, WZ_scale_unc, conf->get("SR"));
//cout<<__LINE__<<endl;
VVV_err = getRareSamplesError(VVV_err, VVV_count, VVV_scale, VVV_scale_unc, conf->get("SR"));
//cout<<__LINE__<<endl;
TTV_err = getRareSamplesError(TTV_err, TTV_count, TTV_scale, TTV_scale_unc, conf->get("SR"));
//cout<<__LINE__<<endl;
vector<double> temp_err = getMetTemplatesError(template_error, template_count, normalization, norm_bin, stats_bins, conf->get("SR"));
//cout<<__LINE__<<endl;
pair<vector<double>,vector<double>> FS_err = getFSError(FS_count, stod(conf->get("hist_5_scale")), conf->get("SR"));
//cout<<__LINE__<<endl;
//Add all rare samples together with scale factors applied
for (int i = 0; i < ZZ_err.size(); i++){
cout<<"RAREDEBUG| bin "<<i<<": ZZ (scaled): "<<ZZ_count[i]<<" ("<<ZZ_count[i]*ZZ_scale<<" +/- "<<ZZ_err[i]<<")"<<endl;
cout<<"RAREDEBUG| bin "<<i<<": WZ (scaled): "<<WZ_count[i]<<" ("<<WZ_count[i]*WZ_scale<<" +/- "<<WZ_err[i]<<")"<<endl;
cout<<"RAREDEBUG| bin "<<i<<": VVV (scaled): "<<VVV_count[i]<<" ("<<VVV_count[i]*VVV_scale<<" +/- "<<VVV_err[i]<<")"<<endl;
cout<<"RAREDEBUG| bin "<<i<<": TTZ (scaled): "<<TTV_count[i]<<" ("<<TTV_count[i]*TTV_scale<<" +/- "<<TTV_err[i]<<")"<<endl;
rare_count.push_back(ZZ_scale*ZZ_count[i]+WZ_scale*WZ_count[i]+VVV_scale*VVV_count[i]+TTV_scale*TTV_count[i]);
rare_err.push_back(sqrt(ZZ_err[i]*ZZ_err[i] + WZ_err[i]*WZ_err[i] + VVV_err[i]*VVV_err[i] + TTV_err[i]*TTV_err[i]));
//For cross checking with Vince
//rare_count.push_back(ZZ_count[i]+VVV_count[i]+TTV_count[i]);
//rare_err.push_back(sqrt(ZZ_err[i]*ZZ_err[i] + VVV_err[i]*VVV_err[i] + TTV_err[i]*TTV_err[i]));
}
//--------------------------------
// To be parsed by datacard maker
//--------------------------------
cout<<setprecision(10);
//cout<<"{mcbkg_scale_unc} "<<1. + (sqrt( pow(ZZ_count*ZZ_scale_unc,2) + pow(WZ_count*WZ_scale_unc,2) + pow(VVV_count*VVV_scale_unc,2) + pow(TTV_count*TTV_scale_unc,2))/)<<endl;
for (int i = 0; i<(int)rare_count.size(); i++){
cout<<"{mcbkg_scale_unc_bin"<<i<<"} "<<1. + (sqrt( pow(ZZ_count[i]*ZZ_scale_unc,2) + pow(WZ_count[i]*WZ_scale_unc,2) + pow(VVV_count[i]*VVV_scale_unc,2) + pow(TTV_count[i]*TTV_scale_unc,2))/rare_count[i])<<endl;
cout<<"{BGbin"<<i<<"_mcbkg} "<<rare_count[i]<<endl;
cout<<"{mc_stat_bin"<<i<<"} "<<1.+rare_err[i]/rare_count[i]<<endl;
}
for (int i = 0; i<(int)signal_count.size(); i++){
cout<<"{bin"<<i<<"_yield} "<<signal_count[i]<<endl;
}
cout<<setprecision(2);
//Blinding works by first zeroing out all bins past the number given
//Then we recompute the numbers for the signal counts
if (conf->get("blindAfter") != ""){
blindAfter(hists[0], stod(conf->get("blindAfter")));
signal_count.clear();
for (int i = 0; i < stats_bins.size(); i++){
signal_count.push_back(hists[0]->Integral(hists[0]->FindBin(stats_bins[i].first), hists[0]->FindBin(stats_bins[i].second - 0.001)));
}
}
if (conf->get("big_legend") != "true"){
printCounts(template_count, temp_err, rare_count, rare_err, FS_count, FS_err, stats_bins, signal_count, stod(conf->get("hist_5_scale")));
printLatexCounts(template_count, temp_err, rare_count, rare_err, FS_count, FS_err, stats_bins, signal_count, stod(conf->get("hist_5_scale")));
}
prediction_errors = getErrorTGraph(template_count, temp_err, rare_count, rare_err, FS_count, FS_err, stats_bins, signal_count, stod(conf->get("hist_5_scale")));
//cout<<__LINE__<<endl;
for (int i=0; i < num_hists; i++){
if (conf->get("hist_"+to_string(i)+"_scale") != ""){
hists[i]->Scale(stod(conf->get("hist_"+to_string(i)+"_scale")));
}
}
}
}
cout<<"===========================================\nUpdate Overflow\n===========================================\n";
//Done stats after so that we don't double count these since they are not deleted from final bin.
for (int i = 0; i<num_hists; i++){
cout<<hist_labels[i]<<" Integral bin 0 to bin 100 Content: "<<hists[i]->Integral(hists[i]->FindBin(0),hists[i]->FindBin(100))<<endl;
}
//----------------------
// ADD OVERFLOW BIN
//----------------------
//cout<<__LINE__<<endl;
if (conf->get("overflow")=="true"){
cout<<"Plot tagged for overflow bin, building..."<<endl;
updateOverUnderflow(bg_sum, xmax);
for (int i = 0; i<num_hists; i++){
updateOverUnderflow(hists[i], xmax);
}
/*double n_bins = hists[0]->GetNbinsX();
double overflow, max;
//cout<<__LINE__<<endl;
for (int i = 0; i<num_hists; i++){
overflow = hists[i]->GetBinContent(n_bins + 1);
max = hists[i]->Integral(hists[i]->FindBin(xmax-.001), n_bins);
hists[i]->SetBinContent(hists[i]->FindBin(xmax-.001), max+overflow);
}
overflow = bg_sum->GetBinContent(n_bins + 1);
max = bg_sum->Integral(bg_sum->FindBin(xmax-.001), n_bins);
bg_sum->SetBinContent(bg_sum->FindBin(xmax-.001), max+overflow);*/
//cout<<__LINE__<<endl;
}
plotpad->SetLeftMargin(0.15);
h_axes->GetYaxis()->SetTitleOffset(1.3);
h_axes->GetYaxis()->SetTitleSize(0.05);
h_axes->GetYaxis()->SetLabelSize(0.04);
h_axes->GetXaxis()->SetTitleSize(0.05);
h_axes->GetXaxis()->SetLabelSize(0.04);
//cout<<__LINE__<<endl;
cout<<"Drawing histograms"<<endl;
h_axes->Draw();
//===========================
// MAKE STACK
//===========================
//Add all the background hists to a stack.
THStack * stack = new THStack(("stack_"+conf->get("Name")).c_str(), conf->get("title").c_str());
//cout<<__LINE__<<endl;
vector<pair<TH1D*, TString>> hists_labeled;
// If combined Rares, simply replace the rares in the hists_labeled vector with their sum
TH1D * combined_rares = (TH1D*) hists[4]->Clone("h_rares_combined");
if (conf->get("combine_rares") == "true"){
//cout<<__LINE__<<endl;
combined_rares->Add(hists[3]);
//cout<<__LINE__<<endl;
combined_rares->Add(hists[2]);
//cout<<__LINE__<<endl;
combined_rares->Add(hists[1]);
//cout<<__LINE__<<endl;
hists_labeled.push_back(make_pair(hists[5], hist_labels[5]));
hists_labeled.push_back(make_pair(hists[6], hist_labels[6]));
//cout<<__LINE__<<endl;
hists_labeled.push_back(make_pair(combined_rares, "Z+#nu"));
//cout<<__LINE__<<endl;
}
else{
for (int i=1; i<num_hists; i++)
{
hists_labeled.push_back(make_pair(hists[i], hist_labels[i]));
}
}
cout<<"Sorting by total count"<<endl;
sort(hists_labeled.begin(), hists_labeled.end(), LabeledHistSort);
cout<<"Sorted, Adding to Stack"<<endl;
//sort(hists.begin()+1, hists.end(), TH1DIntegralSort);
for (int i=0; i< (int)hists_labeled.size(); i++)
{
stack->Add(hists_labeled[i].first);
}
stack->Draw("HIST SAME");
cout<<"Stack Drawn"<<endl;
if (conf->get("blindAfter") != ""){
blindAfter(hists[0], stod(conf->get("blindAfter")));
}
TGraphAsymmErrors *bg_err = new TGraphAsymmErrors(bg_sum);
if ((conf->get("print_stats") == "true") && (conf->get("simple_errors") != "true")){
prediction_errors->SetFillStyle(3244);
prediction_errors->SetFillColor(kGray+3);
prediction_errors->Draw("SAME 2");
}
else if(conf->get("draw_bg_errs") != "false"){
cout<<"Drawing BG hatch bands"<<endl;
bg_err->SetFillStyle(3244);
bg_err->SetFillColor(kGray+3);
bg_err->Draw("SAME 2");
}
if (conf->get("print_stats") == "true" && conf->get("simple_errors") != "true"){
hists[0]->SetMarkerSize(3.5);
hists[0]->SetLineWidth(4);
}
else{
hists[0]->SetMarkerSize(1.5);
}
hists[0]->SetMarkerColor(kBlack);
hists[0]->SetLineColor(kBlack);
//hists[0]->SetLineWidth(5);
hists[0]->Draw("same e0 x0 e1 p0");
plotpad->RedrawAxis();
//cout<<__LINE__<<endl;
//===========================
// BUILD LEGEND
//===========================
cout<<"Building Legend"<<endl;
TLegend *l1;
if (conf->get("small_legend") == "true"){
l1 = new TLegend(0.78, 0.78, 0.93, 0.93);
}
else if (conf->get("big_legend") == "true"){
l1 = new TLegend(0.6, 0.55, 0.93, 0.93);
}
else{
/*cout<<"UtoPixel(0.65): "<<gPad->UtoPixel(.65)<<endl;
cout<<"PixelToX(..): "<<gPad->PixeltoX(gPad->UtoPixel(.65))<<endl;
double x_under_legend = gPad->PixeltoX(gPad->UtoPixel(.65));
double max_count_under_legend = bg_sum->GetBinContent(bg_sum->FindBin(x_under_legend));
cout<<"x under legend: "<<x_under_legend<<endl;
cout<<"max count under legend: "<<max_count_under_legend<<endl;*/
l1 = new TLegend(0.6, 0.6, 0.93, 0.93);
}
l1->SetLineColor(kWhite);
l1->SetShadowColor(kWhite);
l1->SetFillColor(kWhite);
l1->SetTextSize(.04);
//cout<<__LINE__<<endl;
l1->AddEntry(hists[0], hist_labels[0], "pe");
/* //Put objects in legend with the same order as the they go into the stack
for (int i = hists_labeled.size()-1; i>=0; i--){
l1->AddEntry(hists_labeled[i].first, hists_labeled[i].second, "f");
}*/
//Put objects in legend in the order they are written in the config
if (conf->get("combine_rares") == "true"){
l1->AddEntry(hists[5], hist_labels[5], "f");
l1->AddEntry(hists[6], hist_labels[6], "f");
l1->AddEntry(combined_rares, "Z+#nu", "f");
}
else{
for (int i = hists.size()-1; i>=1; i--){
l1->AddEntry(hists[i], hist_labels[i], "f");
}
}
l1->Draw("same");
//--------------------------
// Fill in Residual Plot
//--------------------------
cout<<"Getting ready for residual plots"<<endl;
fullpad->cd();
TPad *ratiopad = new TPad("ratiopad", "ratiopad" ,0.,0.,1,0.21);
ratiopad->SetTopMargin(0.05);
ratiopad->SetLeftMargin(0.15);
ratiopad->SetBottomMargin(0.1);
ratiopad->SetRightMargin(0.05);
ratiopad->SetGridy(); // doesn't actually appear for some reason..
ratiopad->Draw();
ratiopad->cd();
//cout<<__LINE__<<endl;
TH1D* residual = (TH1D*) hists[0]->Clone("residual");
residual->Divide(bg_sum);
//cout<<__LINE__<<endl;
//cout<<"Fixing error bars"<<endl;
//for (int count=1; count<=mc_sum->GetNbinsX(); count++){
// double relative_error = (mc_sum->GetBinError(count))/ (mc_sum->GetBinContent(count));
// residual->SetBinError(count, residual->GetBinContent(count)*relative_error);
//}
cout<<"Building axes"<<endl;
TH1D* h_axis_ratio = new TH1D(Form("%s_residual_axes",plot_name.Data()),"",residual->GetNbinsX(),xmin,xmax);
//cout<<__LINE__<<endl;
h_axis_ratio->GetYaxis()->SetTitleOffset(0.33);
h_axis_ratio->GetYaxis()->SetTitleSize(0.16);
//h_axis_ratio->GetYaxis()->SetTitleFont(12);
h_axis_ratio->GetYaxis()->SetNdivisions(5);
h_axis_ratio->GetYaxis()->SetLabelSize(0.15);
//h_axis_ratio->GetYaxis()->SetRangeUser(0.5,1.5);
if(residual->GetMaximum() > 3 && residual->GetMaximum() <= 4 ){
h_axis_ratio->GetYaxis()->SetRangeUser(0.001,4.0);
}
else if(residual->GetMaximum() > 2 && residual->GetMaximum() <= 3 ){
h_axis_ratio->GetYaxis()->SetRangeUser(0.001,3.0);
}
else{
h_axis_ratio->GetYaxis()->SetRangeUser(0.001,2.0);
}
if(conf->get("ratio_yaxis") != ""){
h_axis_ratio->GetYaxis()->SetTitle(parseLatex(conf->get("ratio_yaxis")));
}
else{
h_axis_ratio->GetYaxis()->SetTitle("#frac{Signal}{Prediction}");
}
h_axis_ratio->GetXaxis()->SetTickLength(0.07);
h_axis_ratio->GetXaxis()->SetTitleSize(0.005);
h_axis_ratio->GetXaxis()->SetLabelSize(0.);
h_axis_ratio->GetYaxis()->CenterTitle();
//cout<<__LINE__<<endl;