bool TTimeHists::Run()
{
// run all tests with current settings, and check for identity of content.
Double_t check[2];
Long64_t rep[2];
for (int h = 0; h < 2; ++h) {
rep[h] = 0;
SetupValues();
try {
TStopwatch w;
w.Start();
SetupHist((EHist) h);
w.Stop();
do {
w.Start(kFALSE);
Fill((EHist) h);
check[h] = Check((EHist) h);
w.Stop();
++rep[h];
} while ((!h && w.RealTime() < 0.1)
|| (h && rep[0] > 0 && rep[1] < rep[0]));
fTime[h][0] = (1.* fNum * rep[h]) / w.RealTime() / 1E6;
fTime[h][1] = (1.* fNum * rep[h]) / w.CpuTime() / 1E6;
if (h == 1 && (fTime[h][0] > 1E20 || fTime[h][1] > 1E20)) {
do {
// some more cycles:
w.Start(kFALSE);
Fill((EHist) h);
Check((EHist) h);
w.Stop();
++rep[h];
} while (w.RealTime() < 0.1);
fTime[h][0] = (1.* fNum * rep[h]) / w.RealTime() / 1E6;
fTime[h][1] = (1.* fNum * rep[h]) / w.CpuTime() / 1E6;
}
if (fTime[h][0] > 1E20) fTime[h][0] = 1E20;
if (fTime[h][1] > 1E20) fTime[h][1] = 1E20;
}
catch (std::exception&) {
fTime[h][0] = fTime[h][1] = -1.;
check[h] = -1.; // can never be < 1 without exception
rep[h] = -1;
}
}
if (check[0] != check[1])
if (check[0] != -1.)
printf("ERROR: mismatch of histogram (%g) and sparse histogram (%g) for dim=%d, bins=%d!\n",
check[0], check[1], fDim, fBins);
// else
// printf("ERROR: cannot allocate histogram for dim=%d, bins=%d - out of memory!\n",
// fDim, fBins);
return (check[0] == check[1]);
}
void plotCLs() {
ModTDRStyle(2800, 2400, 0.06, 0.12, 0.14, 0.22);
gStyle->SetPadTickX(1);
gStyle->SetPadTickY(1);
const unsigned Number = 2;
Double_t Red[Number] = {1.00, 0.17};
Double_t Green[Number] = {1.00, 0.16};
Double_t Blue[Number] = {1.00, 0.47};
Double_t Length[Number] = {0.00, 1.00};
Int_t nb = 255;
TColor::CreateGradientColorTable(Number, Length, Red, Green, Blue, nb);
gStyle->SetNumberContours(nb);
TFile f("combined_output.root");
TTree *t =(TTree*)gDirectory->Get("limit");
TGraph2D graph =
TGraph2DFromTree(t, "mA", "tanb", "limit",
//"quantileExpected > -1.1 && quantileExpected < -0.9");
"quantileExpected > 0.49 && quantileExpected < 0.51");
TGraph2D graph_exp =
TGraph2DFromTree(t, "mA", "tanb", "limit",
"quantileExpected > 0.49 && quantileExpected < 0.51");
TGraph2D graph_lo68 =
TGraph2DFromTree(t, "mA", "tanb", "limit",
"quantileExpected > 0.15 && quantileExpected < 0.16");
TGraph2D graph_hi68 =
TGraph2DFromTree(t, "mA", "tanb", "limit",
"quantileExpected > 0.83 && quantileExpected < 0.84");
TGraph2D graph_lo95 =
TGraph2DFromTree(t, "mA", "tanb", "limit",
"quantileExpected > 0.02 && quantileExpected < 0.03");
TGraph2D graph_hi95 =
TGraph2DFromTree(t, "mA", "tanb", "limit",
"quantileExpected > 0.97 && quantileExpected < 0.98");
TH2D hist("hist", "hist", 91, 90, 1000, 91, 1, 59);
std::vector<TGraph *> cgraphs = SetupHist(&hist, &graph);
TH2D h_exp("h_exp", "h_exp", 91, 90, 1000, 91, 1, 59);
std::vector<TGraph *> g_exp = SetupHist(&h_exp, &graph_exp);
TH2D h_lo68("h_lo68", "h_lo68", 91, 90, 1000, 91, 1, 59);
std::vector<TGraph *> g_lo68 = SetupHist(&h_lo68, &graph_lo68);
TH2D h_hi68("h_hi68", "h_hi68", 91, 90, 1000, 91, 1, 59);
std::vector<TGraph *> g_hi68 = SetupHist(&h_hi68, &graph_hi68);
TH2D h_lo95("h_lo95", "h_lo95", 91, 90, 1000, 91, 1, 59);
std::vector<TGraph *> g_lo95 = SetupHist(&h_lo95, &graph_lo95);
TH2D h_hi95("h_hi95", "h_hi95", 91, 90, 1000, 91, 1, 59);
std::vector<TGraph *> g_hi95 = SetupHist(&h_hi95, &graph_hi95);
TCanvas * canv = new TCanvas("cls", "cls");
canv->cd();
std::vector<TPad*> pads = OnePad();
hist.SetMinimum(0.);
hist.SetMaximum(1.);
hist.Draw("COLZ");
for (unsigned i = 0; i < g_exp.size(); ++i) {
g_exp[i]->SetLineStyle(1);
g_exp[i]->SetLineColor(kBlue);
g_exp[i]->SetLineWidth(3);
g_exp[i]->Draw("L SAME");
}
for (unsigned i = 0; i < g_hi68.size(); ++i) {
g_hi68[i]->SetLineStyle(7);
g_hi68[i]->SetLineColor(kBlue);
g_hi68[i]->SetLineWidth(3);
g_hi68[i]->Draw("L SAME");
}
for (unsigned i = 0; i < g_lo68.size(); ++i) {
g_lo68[i]->SetLineStyle(7);
g_lo68[i]->SetLineColor(kBlue);
g_lo68[i]->SetLineWidth(3);
g_lo68[i]->Draw("L SAME");
}
for (unsigned i = 0; i < g_hi95.size(); ++i) {
g_hi95[i]->SetLineStyle(2);
g_hi95[i]->SetLineColor(kBlue);
g_hi95[i]->SetLineWidth(3);
g_hi95[i]->Draw("L SAME");
}
for (unsigned i = 0; i < g_lo95.size(); ++i) {
g_lo95[i]->SetLineStyle(2);
g_lo95[i]->SetLineColor(kBlue);
g_lo95[i]->SetLineWidth(3);
g_lo95[i]->Draw("L SAME");
}
for (unsigned i = 0; i < cgraphs.size(); ++i) {
cgraphs[i]->SetLineStyle(1);
cgraphs[i]->SetLineColor(kRed);
cgraphs[i]->SetLineWidth(4);
cgraphs[i]->Draw("L SAME");
}
hist.GetXaxis()->SetTitle("m_{A} (GeV)");
hist.GetYaxis()->SetTitle("tan#beta");
hist.GetZaxis()->SetTitle("Observed CLs");
DrawTitle(pads[0], "CombineHarvester", 1);
DrawTitle(pads[0], "MSSM h/H/A#rightarrow#tau#tau, #mu_{}#tau_{h} 8 TeV", 3);
TLegend *leg = PositionedLegend(0.25, 0.20, 1, 0.025);
leg->AddEntry(cgraphs[0], "95% CL Observed", "L");
leg->AddEntry(g_exp[0], "Expected", "L");
leg->AddEntry(g_lo68[0], " #pm1#sigma Expected", "L");
leg->AddEntry(g_lo95[0], " #pm2#sigma Expected", "L");
leg->Draw();
FixOverlay();
canv->Print("cls.png");
}
