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sbn_sens.C
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sbn_sens.C
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//########################################################################################################
//
// sbn_sens.C -- ROOT macro for generating the SBN Program sensitivity
// plots for nue appearance and numu disappearance
//
//########################################################################################################
#include <iostream>
#include <fstream>
#include <string>
#include <vector>
#include "TCanvas.h"
#include "TGraph.h"
void loadStyle(){
gStyle->SetCanvasColor(0);
gStyle->SetPadBorderMode(0);
gStyle->SetFrameBorderMode(0);
gStyle->SetCanvasBorderMode(0);
gStyle->SetPadTopMargin(0.09);
gStyle->SetPadBottomMargin(0.16);
gStyle->SetPadLeftMargin(0.15);
gStyle->SetPadRightMargin(0.15);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0000);
gStyle->SetOptTitle(0);
gStyle->SetLabelFont(42,"xyz");
gStyle->SetTitleFont(42,"x");
gStyle->SetTitleFont(42,"y");
gStyle->SetTitleFont(42,"z");
gStyle->SetTitleSize(0.06,"x");
gStyle->SetTitleSize(0.06,"y");
gStyle->SetTitleSize(0.06,"z");
gStyle->SetTitleOffset(1.15,"x");
gStyle->SetTitleOffset(1.2,"y");
gStyle->SetLabelSize(0.045,"x");
gStyle->SetLabelSize(0.045,"y");
gStyle->SetHistLineStyle(1);
gStyle->SetFrameLineWidth(2);
gStyle->SetLineWidth(1);
gStyle->SetHistLineWidth(2);
}
//========================================================================================================
//
// Simple helper funtion to add text to a Canvas
//
//========================================================================================================
void add_plot_label( char* label, double x, double y,
double size = 0.035, int color = 1, int font = 62, int align = 12 ){
TLatex *latex = new TLatex( x, y, label );
latex->SetNDC();
latex->SetTextSize(size);
latex->SetTextColor(color);
latex->SetTextFont(font);
latex->SetTextAlign(align);
latex->Draw();
}
//========================================================================================================
//
// Read in LSND data files and add allowed regions to the provided Canvas and Legend
//
//========================================================================================================
void lsnd_plot( TCanvas* c, TLegend *leg, bool draw_bf = false ){
c->cd();
const char* data_dir = "lsnd_data/";
Double_t dm2BF[] = {1.2};
Double_t sin22thBF[] = {0.003};
const Int_t NDATAFILES = 11;
const char * file_list[NDATAFILES] = {"llreg_608_1.vec",
"llreg_608_2.vec",
"llreg_608_3.vec",
"llreg_607_1.vec",
"llreg_607_2.vec",
"llreg_607_3.vec",
"llreg_607_4.vec",
"llreg_607_5.vec",
"llreg_607_6.vec",
"llreg_607_7.vec",
"llreg_607_8.vec"};
Int_t graph_color[NDATAFILES] = {29, 29, 29, 38, 38, 38, 38, 38, 38, 38, 38};
const Int_t NDATAPOINTS = 500;
Int_t nlines;
Double_t x[NDATAPOINTS], y[NDATAPOINTS];
Double_t dummy, dummy_old;
TGraph* gr[NDATAFILES];
char filename[100];
ifstream datafile;
for (Int_t ifile = 0; ifile<NDATAFILES; ifile++) {
nlines = 0;
for (Int_t i=0;i<NDATAPOINTS;i++){x[i]=0.0;y[i]=0.0;}
strcpy(filename, data_dir);
strcat(filename, file_list[ifile]);
datafile.open(filename, ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "lsnd_plot.C: file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened " << filename << std::endl;}
while (!datafile.eof()) {
datafile >> dummy;
datafile >> dummy;
datafile >> x[nlines];
datafile >> y[nlines];
nlines++;
if (dummy == dummy_old) nlines--; //if last row was empty
dummy_old = dummy;
}
gr[ifile] = new TGraph(nlines,x,y);
datafile.close();
}
std::cout << "Finished reading data files" << std::endl;
// Draw contours
for (Int_t ifile = 0; ifile<NDATAFILES; ifile++) {
gr[ifile]->SetFillColor(graph_color[ifile]);
gr[ifile]->Draw("LF");
}
// Add the best fit point;
TGraph * bfPoint = new TGraph(1, sin22thBF, dm2BF);
bfPoint->SetLineColor(2);
bfPoint->SetMarkerStyle(5);
bfPoint->SetMarkerSize(0.6);
bfPoint->SetMarkerColor(1);
if( draw_bf) bfPoint->Draw("P");
// Add legend items
leg->AddEntry(gr[NDATAFILES-1],"LSND 90%","f");
leg->AddEntry(gr[0],"LSND 99%","f");
if( draw_bf ) leg->AddEntry(bfPoint,"LSND best fit","p");
return;
}
//======================================================================================================
//
// Add C. Giunti et. al. global fit contours
// channel = nue appearance
//
//======================================================================================================
void giunti_global_nue(TCanvas* c, TLegend *leg){
c->cd();
const char* data_dir = "giunti_global_fits/global/";
Double_t dm2BF[] = {1.7};
Double_t sin22thBF[] = {0.0011};
const Int_t NDATAFILES = 6;
const char * file_list[NDATAFILES] = {"nue-app-3sigma-1.dat",
"nue-app-3sigma-2.dat",
"nue-app-3sigma-3.dat",
"nue-app-2sigma-1.dat",
"nue-app-2sigma-2.dat",
"nue-app-1sigma.dat"};
Int_t graph_color[NDATAFILES] = {kGreen+2, kGreen+2, kGreen+2, kGreen, kGreen, kYellow};
const Int_t NDATAPOINTS = 500;
Int_t nlines;
Double_t x[NDATAPOINTS], y[NDATAPOINTS], test;
TGraph* gr[NDATAFILES];
char filename[100];
ifstream datafile;
for( Int_t ifile = 0; ifile < NDATAFILES; ifile++ ){
nlines = 0;
for (Int_t i=0;i<NDATAPOINTS;i++){x[i]=0.0;y[i]=0.0;}
strcpy(filename, data_dir);
strcat(filename, file_list[ifile]);
datafile.open(filename, ios_base::in);
//confirm the file is open:
if (!datafile.is_open() ) {std::cerr << filename << " not opened" << std::endl; return;}
else {std::cout << "Successfully opened " << filename << std::endl;}
while (!datafile.eof()) {
datafile >> x[nlines];
datafile >> y[nlines];
test = x[nlines];
if( test != 0 )
nlines++;
}
gr[ifile] = new TGraph(nlines,x,y);
datafile.close();
}
// Set graph colors and draw
for( Int_t ifile = 0; ifile < NDATAFILES; ifile++){
gr[ifile]->SetFillColor(graph_color[ifile]);
gr[ifile]->Draw("LF");
}
// Add the best fit point
TGraph * bfPoint = new TGraph(1, sin22thBF, dm2BF);
bfPoint -> SetMarkerStyle(34);
bfPoint -> SetMarkerColor(1);
bfPoint -> Draw("P");
// Add to legend
leg->AddEntry(gr[NDATAFILES-1],"Global 2017 1#sigma","f");
leg->AddEntry(gr[NDATAFILES-2],"Global 2017 2#sigma","f");
leg->AddEntry(gr[0],"Global 2017 3#sigma","f");
leg->AddEntry(bfPoint,"Global 2017 best fit","p");
return;
}
//======================================================================================================
//
// Add C. Giunti et. al. global fit contours
// channel = nue appearance
//
//======================================================================================================
void giunti_global_numu(TCanvas* c, TLegend *leg){
c->cd();
const char* data_dir = "giunti_global_fits/global/";
Double_t dm2BF[] = {1.7};
Double_t sin22thBF[] = {0.059};
const Int_t NDATAFILES = 6;
const char * file_list[NDATAFILES] = {"numu-dis-3sigma-1.dat",
"numu-dis-3sigma-2.dat",
"numu-dis-3sigma-3.dat",
"numu-dis-2sigma-1.dat",
"numu-dis-2sigma-2.dat",
"numu-dis-1sigma.dat"};
Int_t graph_color[NDATAFILES] = {kGreen+2, kGreen+2, kGreen+2, kGreen, kGreen, kYellow};
const Int_t NDATAPOINTS = 500;
Int_t nlines;
Double_t x[NDATAPOINTS], y[NDATAPOINTS], test;
TGraph* gr[NDATAFILES];
char filename[100];
ifstream datafile;
for( Int_t ifile = 0; ifile < NDATAFILES; ifile++ ){
nlines = 0;
for (Int_t i=0;i<NDATAPOINTS;i++){x[i]=0.0;y[i]=0.0;}
strcpy(filename, data_dir);
strcat(filename, file_list[ifile]);
datafile.open(filename, ios_base::in);
//confirm the file is open:
if (!datafile.is_open() ) {std::cerr << filename << " not opened" << std::endl; return;}
else {std::cout << "Successfully opened " << filename << std::endl;}
while (!datafile.eof()) {
datafile >> x[nlines];
datafile >> y[nlines];
test = x[nlines];
if( test != 0 )
nlines++;
}
gr[ifile] = new TGraph(nlines,x,y);
datafile.close();
}
// Set graph colors and draw
for( Int_t ifile = 0; ifile < NDATAFILES; ifile++){
gr[ifile]->SetFillColor(graph_color[ifile]);
gr[ifile]->Draw("LF");
}
// Add the best fit point
TGraph * bfPoint = new TGraph(1, sin22thBF, dm2BF);
bfPoint -> SetMarkerStyle(34);
bfPoint -> SetMarkerColor(1);
bfPoint -> Draw("P");
// Add to legend
leg->AddEntry(gr[NDATAFILES-1],"Global 2017 1#sigma","f");
leg->AddEntry(gr[NDATAFILES-2],"Global 2017 2#sigma","f");
leg->AddEntry(gr[0],"Global 2017 3#sigma","f");
leg->AddEntry(bfPoint,"Global 2017 best fit","p");
return;
}
//======================================================================================================
//
// Add MINOS/MINOS+ 90%, 3 sigma, 5 sigma contours from May 2018
// using published data release & assuming a 2 sided, 2 dof chi2 cut
// channel = numu appearance
//
//======================================================================================================
void minos_sens( TCanvas* c, TLegend *leg, bool minos90, bool minos3s, bool minos5s ) {
TFile* minos_data = new TFile("dataRelease.root", "READ");
std::cout << "Successfully opened dataRelease.root" << std::endl;
TH2D* dm241vsth24 = (TH2D*)minos_data->Get("dm241vsth24");
// SET CONTOURS //
double x2min = round(dm241vsth24->GetMinimum()*100.0)/100.0;
double contours[3];
contours[0] = x2min + 4.61; //90%
contours[1] = x2min + 9.00; //3sigma
contours[2] = x2min + 24.37; //5sigma
dm241vsth24->SetContour(3, contours);
TCanvas* c1_minos = new TCanvas();
dm241vsth24->Draw("CONT Z LIST");
c1_minos->Update();
// X-AXIS UNIT CONVERSTION //
TObjArray* conts = (TObjArray*)gROOT->GetListOfSpecials()->FindObject("contours");
TList* contLevel = NULL;
TGraph* curv = NULL;
TGraph* gc = NULL;
double xval, yval, zval;
c1_minos->Close();
//vector of vectors: top level vector is the contour level
//each vector inside is for each graph within that contour level
vector<vector<double>> x90;
vector<vector<double>> y90;
vector<vector<double>> x3sig;
vector<vector<double>> y3sig;
vector<vector<double>> x5sig;
vector<vector<double>> y5sig;
if (conts == NULL) {
std::cout << "No contours extracted!" << std::endl;
}
else {
for (int i=0; i<conts->GetSize(); i++) {
contLevel = (TList*)conts->At(i);
zval = contours[i];
//get first graph in contour level
curv = (TGraph*)contLevel->First();
for (int j=0; j<contLevel->GetSize(); j++) { //loop over graph j in contour level
vector<double> xpts;
vector<double> ypts;
//loop over each point in the graph
for (int k=0; k<curv->GetN(); k++) {
curv->GetPoint(k, xval, yval);
xpts.push_back(TMath::Sin(2*xval)*TMath::Sin(2*xval));
ypts.push_back(yval);
}
//add to appropriate top level vector
if (i==0) {
x90.push_back(xpts);
y90.push_back(ypts);
}
if (i==1) {
x3sig.push_back(xpts);
y3sig.push_back(ypts);
}
else if (i==2) {
x5sig.push_back(xpts);
y5sig.push_back(ypts);
}
curv=(TGraph*)contLevel->After(curv); //get the next graph in contour level
}
}
// PLOTS //
TGraph* cl90_0 = new TGraph(x90[0].size(), &x90[0][0], &y90[0][0]);
TGraph* cl90_1 = new TGraph(x90[1].size(), &x90[1][0], &y90[1][0]);
TGraph* cl90_2 = new TGraph(x90[2].size(), &x90[2][0], &y90[2][0]);
TGraph* cl3sig_0 = new TGraph(x3sig[0].size(), &x3sig[0][0], &y3sig[0][0]);
TGraph* cl3sig_1 = new TGraph(x3sig[1].size(), &x3sig[1][0], &y3sig[1][0]);
TGraph* cl5sig_0 = new TGraph(x5sig[0].size(), &x5sig[0][0], &y5sig[0][0]);
c->cd();
if (minos90 == true) {
cl90_0->SetLineColor(kBlack);
cl90_0->SetLineStyle(2);
cl90_0->SetLineWidth(1);
cl90_0->Draw("C");
leg->AddEntry(cl90_0, "MINOS/MINOS+ 90%");
}
if (minos3s == true) {
cl3sig_0->SetLineColor(kBlue-10);
cl3sig_0->SetLineStyle(1);
cl3sig_0->SetLineWidth(2);
cl3sig_0->Draw("C");
leg->AddEntry(cl3sig_0, "MINOS/MINOS+ 3#sigma");
}
if (minos5s == true) {
cl5sig_0->SetLineColor(kBlue-10);
cl5sig_0->SetLineStyle(2);
cl5sig_0->SetLineWidth(2);
cl5sig_0->Draw("C");
leg->AddEntry(cl5sig_0, "MINOS/MINOS+ 5#sigma");
}
}
return;
}
//======================================================================================================
//
// Generate the SBN nue appearance sensitivity plot
//
//======================================================================================================
void sbn_nue_plot( bool w90 = false, bool w3s = true, bool w5s = true ){
loadStyle();
TCanvas * d = new TCanvas("SBN Nue Sensitivity", "SBN Nue Sensitivity", 600, 470);
d->SetLogx();
d->SetLogy();
TH2D* hr1 = new TH2D("hr1","hr1",500,0.0001,1,500,0.02,50);
hr1->Reset();
hr1->SetFillColor(0);
hr1->SetTitle(";sin^{2}2#theta_{#mue};#Deltam^{2} (eV^{2})");
hr1->GetXaxis()->SetTitleOffset(1.5);
hr1->GetYaxis()->SetTitleOffset(1.0);
hr1->GetXaxis()->SetTitleSize(0.05);
hr1->GetYaxis()->SetTitleSize(0.05);
hr1->GetXaxis()->CenterTitle();
hr1->GetYaxis()->CenterTitle();
hr1->SetStats(kFALSE);
hr1->Draw();
TLegend *legend = new TLegend(0.59,0.52,0.82,0.845);
legend->SetTextSize(0.022);
lsnd_plot(d, legend, false);
giunti_global_nue(d, legend);
Int_t nlines = 0;
Double_t x90[2100],y90[2100];
Double_t x3[2000],y3[2000];
Double_t x5[500],y5[500];
ifstream datafile;
char firstline[500];
int c;
//-----------------------
//Get the 90% line
//-----------------------
datafile.open("sbn_contours/nue90.txt", ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened sbn_contours/nue3s.txt" << std::endl;}
datafile.getline( firstline, 500 );
//std::cout << firstline << std::endl;
nlines = 0;
while (!datafile.eof()) {
datafile >> x90[nlines];
c = datafile.get();
datafile >> y90[nlines];
nlines++;
}
datafile.close();
nlines--; //throw away the last, and likely corrupt entry
std::cout << "Number entries 90%: " << nlines << std::endl;
TGraph *nue90_curve = new TGraph(nlines,x90,y90);
//-----------------------
//Get the 3 sigma line
//-----------------------
datafile.open("sbn_contours/nue3s.txt", ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened sbn_contours/nue3s.txt" << std::endl;}
datafile.getline( firstline, 500 );
//std::cout << firstline << std::endl;
nlines = 0;
while (!datafile.eof()) {
datafile >> x3[nlines];
c = datafile.get();
datafile >> y3[nlines];
nlines++;
}
datafile.close();
nlines--; //throw away the last, and likely corrupt entry
std::cout << "Number entries 3 sigma: " << nlines << std::endl;
TGraph *nue3s_curve = new TGraph(nlines,x3,y3);
//-----------------------
//Get the 5 sigma line
//-----------------------
datafile.open("sbn_contours/nue5s.txt", ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened sbn_contours/nue5s.txt" << std::endl;}
datafile.getline( firstline, 500 );
//std::cout << firstline << std::endl;
nlines = 0;
while (!datafile.eof()) {
datafile >> x5[nlines];
c = datafile.get();
datafile >> y5[nlines];
nlines++;
}
datafile.close();
nlines--; //throw away the last, and likely corrupt entry
std::cout << "Number entries 5 sigma: " << nlines << std::endl;
TGraph *nue5s_curve = new TGraph(nlines,x5,y5);
//-------------------------------
// Draw the sensitivity contours
//-------------------------------
nue90_curve->SetLineColor(kBlack);
nue90_curve->SetLineStyle(1);
nue90_curve->SetLineWidth(1);
if( w90 ) nue90_curve->Draw("C");
nue3s_curve->SetLineColor(kRed);
nue3s_curve->SetLineStyle(1);
nue3s_curve->SetLineWidth(2);
if( w3s) nue3s_curve->Draw("C");
nue5s_curve->SetLineColor(kRed);
nue5s_curve->SetLineStyle(2);
nue5s_curve->SetLineWidth(3);
if( w5s ) nue5s_curve->Draw("C");
if( w90 ) legend->AddEntry(nue90_curve,"SBN 90%","l");
if( w3s ) legend->AddEntry(nue3s_curve,"SBN 3#sigma","l");
if( w5s ) legend->AddEntry(nue5s_curve,"SBN 5#sigma","l");
legend->Draw();
char label[200];
if( w90 || w3s || w5s ){
sprintf( label, "SBN sensitivities assume exposures of:");
add_plot_label( label, 0.185, 0.31, 0.024, 1, 42, 12 );
sprintf( label, "6.60#times10^{20} protons on target in ICARUS and SBND");
add_plot_label( label, 0.195, 0.28, 0.024, 1, 42, 12 );
sprintf( label, "13.2#times10^{20} protons on target in MicroBooNE");
add_plot_label( label, 0.195, 0.25, 0.024, 1, 42, 12 );
sprintf( label, "Global 2017: S. Gariazzo et al., arXiv:1703.00860 [hep-ph]");
add_plot_label( label, 0.185, 0.20, 0.024, 1, 42, 12 );
}
else{
sprintf( label, "Global 2017:");
add_plot_label( label, 0.185, 0.21, 0.027, 1, 62, 11 );
sprintf( label, "S. Gariazzo et al., arXiv:1703.00860 [hep-ph]");
add_plot_label( label, 0.3, 0.21, 0.027, 1, 42, 11 );
}
sprintf( label, "#nu_{#mu} #rightarrow #nu_{e} appearance");
add_plot_label( label, 0.7, 0.87, 0.03, 1, 62, 22 );
d->RedrawAxis();
TLine l;
l.SetLineWidth(2);
l.SetLineColor(kBlack);
l.DrawLine(0,hr1->GetYaxis()->GetBinUpEdge(hr1->GetNbinsY()),hr1->GetXaxis()->GetBinUpEdge(hr1->GetNbinsX()),hr1->GetYaxis()->GetBinUpEdge(hr1->GetNbinsY()));
char filename[100];
strcpy(filename, "SBN_nue");
if( w90 || w3s || w5s ) strcat(filename, "_sensitivity");
if( w90 ) strcat(filename, "_90");
if( w3s ) strcat(filename, "_3s");
if( w5s ) strcat(filename, "_5s");
strcat(filename, ".pdf");
d->Print(filename);
return;
}
//====================================================================================================
//
// Generate the SBN numu appearance sensitivity plot
//
//====================================================================================================
void sbn_numu_plot( bool w90 = false, bool w3s = true, bool w5s = false, bool minos = true ){
loadStyle();
TCanvas * d = new TCanvas("SBN Numu Sensitivity", "SBN Numu Sensitivity", 600, 470);
d->SetLogx();
d->SetLogy();
TH2D* hr1 = new TH2D("hr1","hr1",500,0.01,1,500,0.02,50);
hr1->Reset();
hr1->SetFillColor(0);
hr1->SetTitle(";sin^{2}2#theta_{#mu#mu};#Deltam^{2} (eV^{2})");
hr1->GetXaxis()->SetTitleOffset(1.5);
hr1->GetYaxis()->SetTitleOffset(1.0);
hr1->GetXaxis()->SetTitleSize(0.05);
hr1->GetYaxis()->SetTitleSize(0.05);
hr1->GetXaxis()->CenterTitle();
hr1->GetYaxis()->CenterTitle();
hr1->SetStats(kFALSE);
hr1->Draw();
TLegend *legend = new TLegend(0.59,0.59,0.82,0.83);
legend->SetTextSize(0.022);
giunti_global_numu(d, legend);
Int_t nlines = 0;
Double_t x90[3000],y90[3000];
Double_t x3[2000],y3[2000];
Double_t x5[500],y5[500];
ifstream datafile;
char firstline[500];
int c;
//-------------------------------
//Get the 90% line
//-------------------------------
datafile.open("sbn_contours/numu90.txt", ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened sbn_contours/numu90.txt" << std::endl;}
datafile.getline( firstline, 500 );
nlines = 0;
while (!datafile.eof()) {
datafile >> x90[nlines];
c = datafile.get();
datafile >> y90[nlines];
nlines++;
}
datafile.close();
nlines--; //throw away the last, and likely corrupt entry
std::cout << "Number entries 90%: " << nlines << std::endl;
TGraph *numu90_curve = new TGraph(nlines,x90,y90);
//-------------------------------
//Get the 3 sigma line
//-------------------------------
datafile.open("sbn_contours/numu3s.txt", ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened sbn_contours/numu3s.txt" << std::endl;}
datafile.getline( firstline, 500 );
nlines = 0;
while (!datafile.eof()) {
datafile >> x3[nlines];
c = datafile.get();
datafile >> y3[nlines];
nlines++;
}
datafile.close();
nlines--; //throw away the last, and likely corrupt entry
std::cout << "Number entries 3 sigma: " << nlines << std::endl;
TGraph *numu3s_curve = new TGraph(nlines,x3,y3);
//-----------------------------
//Get the 5 sigma line
//-----------------------------
datafile.open("sbn_contours/numu5s.txt", ios_base::in);
//check if the file is open:
if (!datafile.is_open() ) {std::cerr << "file not opened" <<std::endl; return;}
else {std::cout << "Successfully opened sbn_contours/numu5s.txt" << std::endl;}
datafile.getline( firstline, 500 );
nlines = 0;
while (!datafile.eof()) {
datafile >> x5[nlines];
c = datafile.get();
datafile >> y5[nlines];
nlines++;
}
datafile.close();
nlines--; //throw away the last, and likely corrupt entry
std::cout << "Number entries 5 sigma: " << nlines << std::endl;
TGraph *numu5s_curve = new TGraph(nlines,x5,y5);
//-------------------------------
// Draw the sensitivity contours
//-------------------------------
numu90_curve->SetLineColor(kBlack);
numu90_curve->SetLineStyle(1);
numu90_curve->SetLineWidth(1);
if( w90 ) numu90_curve->Draw("C");
numu3s_curve->SetLineColor(kRed);
numu3s_curve->SetLineStyle(1);
numu3s_curve->SetLineWidth(2);
if( w3s ) numu3s_curve->Draw("C");
numu5s_curve->SetLineColor(kRed);
numu5s_curve->SetLineStyle(2);
numu5s_curve->SetLineWidth(3);
if( w5s ) numu5s_curve->Draw("C");
if( w90 ) legend->AddEntry(numu90_curve,"SBN 90%","l");
if( w3s ) legend->AddEntry(numu3s_curve,"SBN 3#sigma","l");
if( w5s ) legend->AddEntry(numu5s_curve,"SBN 5#sigma","l");
// MINOS/MINOS+ SENSITIVITY //
if ( minos ) {
minos_sens(d, legend, w90, w3s, w5s);
}
legend->Draw();
char label[200];
if( (w90 || w3s || w5s) && (minos == false) ){
sprintf( label, "SBN sensitivities assume exposures of:");
add_plot_label( label, 0.185, 0.31, 0.024, 1, 42, 12 );
sprintf( label, "6.60#times10^{20} protons on target in ICARUS and SBND");
add_plot_label( label, 0.195, 0.28, 0.024, 1, 42, 12 );
sprintf( label, "13.2#times10^{20} protons on target in MicroBooNE");
add_plot_label( label, 0.195, 0.25, 0.024, 1, 42, 12 );
sprintf( label, "Global 2017: S. Gariazzo et al., arXiv:1703.00860 [hep-ph]");
add_plot_label( label, 0.185, 0.20, 0.024, 1, 42, 12 );
}
else{
sprintf( label, "Global 2017:");
add_plot_label( label, 0.185, 0.21, 0.027, 1, 62, 11 );
sprintf( label, "S. Gariazzo et al., arXiv:1703.00860 [hep-ph]");
add_plot_label( label, 0.3, 0.21, 0.027, 1, 42, 11 );
}
sprintf( label, "#nu_{#mu} disappearance");
add_plot_label( label, 0.7, 0.85, 0.03, 1, 62, 22 );
gPad->RedrawAxis();
TLine l;
l.SetLineWidth(2);
l.SetLineColor(kBlack);
l.DrawLine(0,hr1->GetYaxis()->GetBinUpEdge(hr1->GetNbinsY()),hr1->GetXaxis()->GetBinUpEdge(hr1->GetNbinsX()),hr1->GetYaxis()->GetBinUpEdge(hr1->GetNbinsY()));;
char filename[100];
strcpy(filename, "SBN_numu");
if( w90 || w3s || w5s ) strcat(filename, "_sensitivity");
if( w90 ) strcat(filename, "_90");
if( w3s ) strcat(filename, "_3s");
if( w5s ) strcat(filename, "_5s");
strcat(filename, ".pdf");
d->Print(filename);
return;
}
//#################################################################################################
//
// END sbn_sens.C
//
//#################################################################################################