| 17 |
|
#include "Math/GSLIntegrator.h" |
| 18 |
|
#include "Math/WrappedTF1.h" |
| 19 |
|
|
| 20 |
< |
TString fileName = "skimmed/QCDbin4_005.root"; |
| 20 |
> |
// Full Sim |
| 21 |
> |
// TString fileName = "skimmed226/QCDbin4_NewRelIso_rebin1_TandL.root"; |
| 22 |
> |
// TString fileName = "skimmed226/QCDbin3_NewRelIso_0053.root"; |
| 23 |
> |
// TString fileName = "skimmed226/QCDbin2_NewRelIso_wErrors_TandL.root"; |
| 24 |
> |
TString fileName = "skimmed226/QCDbin4_NewRelIso_wErrors_TandL_0.root"; |
| 25 |
> |
// Fast Sim |
| 26 |
> |
// TString fileName = "skimmed226/QCDbin3_NewRelIso_FastSim_0053.root"; |
| 27 |
> |
// TString fileName = "skimmed226/QCDbin4_NewRelIso_FastSim_0053.root"; |
| 28 |
> |
// TString fileName = "skimmed226/QCDbin4_NewRelIso_wErrors_TandL_FastSim_1.root"; |
| 29 |
|
// Dynamic(true) or static(false) range |
| 30 |
+ |
|
| 31 |
|
bool dynamic = true; |
| 32 |
|
// Dynamic fit region weight |
| 33 |
< |
double wxmin = 2.; // 1.82 for loose 2.1 for tight |
| 34 |
< |
double wxmax = 0.8; // 0.6 for loose 0.8 for tight |
| 33 |
> |
double wxmin = 1.825; // 1.82 for loose 2.1 for tight 1.81875/ 1.825 for full; 2.0 for Fast |
| 34 |
> |
double wxmax = wxmin/2.; // 0.6 for loose 0.8 for tight |
| 35 |
|
// Select fitting function: |
| 36 |
|
TString s0 = "landau"; |
| 37 |
|
// Select New or Old reliso: |
| 38 |
< |
TString isoname = "New"; |
| 38 |
> |
TString isoname = "New"; // Only New for Landau |
| 39 |
> |
bool drawtail = false; |
| 40 |
> |
bool debug = false; |
| 41 |
|
|
| 42 |
|
void fitLandau() |
| 43 |
|
{ |
| 44 |
< |
gStyle->SetOptFit(01111); |
| 44 |
> |
gROOT->SetStyle("CMS"); |
| 45 |
> |
// gStyle->SetOptStat(1); |
| 46 |
> |
// gStyle->SetOptTitle(1); |
| 47 |
> |
gStyle->SetOptFit(11111); |
| 48 |
|
|
| 49 |
|
TFile *file = TFile::Open(fileName); |
| 50 |
|
TTree *tree = (TTree*)file->Get("myTree"); |
| 51 |
|
TH1D *h0 = (TH1D*)file->Get("histos/h_RelIso_all"); |
| 52 |
|
TH1D *h1 = (TH1D*)file->Get("histos/h_RelIso_qcd"); |
| 53 |
|
Int_t jbin; |
| 54 |
< |
Double_t na; |
| 54 |
> |
Double_t na,na1; |
| 55 |
|
tree->SetBranchAddress("jbin",&jbin); |
| 56 |
|
tree->SetBranchAddress("na",&na); |
| 57 |
< |
// Int_t nentries = (Int_t)tree->GetEntries(); |
| 57 |
> |
if (fileName.Contains("TandL")) |
| 58 |
> |
tree->SetBranchAddress("na1",&na1); |
| 59 |
|
tree->GetEntry(0); |
| 60 |
+ |
|
| 61 |
|
// define fit region: |
| 62 |
< |
double ax0 = 0.; |
| 63 |
< |
double axf = 0.; |
| 64 |
< |
double bx0= 0.; |
| 65 |
< |
double bxf = 0.; |
| 62 |
> |
double ax0 = 0.0; |
| 63 |
> |
double axf = 0.0; |
| 64 |
> |
double bx0 = 0.0; |
| 65 |
> |
double bxf = 0.0; |
| 66 |
> |
double loosecut = 0.; |
| 67 |
|
|
| 68 |
|
cout<<"Use "<<isoname<<" RelIso"<<endl; |
| 69 |
|
|
| 70 |
|
if ( isoname.Contains("Old") ) { |
| 71 |
|
// old |
| 72 |
+ |
loosecut = 0.9; |
| 73 |
|
ax0 = 0.95; |
| 74 |
|
axf = 1.0; |
| 75 |
< |
bx0 = 0.0; |
| 76 |
< |
bxf = 0.7; |
| 75 |
> |
bx0 = 0.3; // Must be smaller than x at peak |
| 76 |
> |
bxf = 0.9; // Should not overlap signal region |
| 77 |
|
} |
| 78 |
|
else if ( isoname.Contains("New") ) { |
| 79 |
|
// new |
| 80 |
|
ax0 = 0.0; |
| 81 |
< |
axf = 0.05; // default: 0.053; loose:0.11 |
| 81 |
> |
axf = 1./19.; // ~0.053 |
| 82 |
> |
loosecut = 1./9.; // ~0.11 |
| 83 |
|
bx0 = 0.2; |
| 84 |
< |
bxf = 2.; |
| 84 |
> |
bxf = 1.2; |
| 85 |
|
} |
| 86 |
|
|
| 87 |
|
int niter = 1; |
| 88 |
|
double pass[3] = {0.,0.,0.}; |
| 89 |
< |
double ns, ns2; |
| 90 |
< |
ns = ns2 = 0.; |
| 89 |
> |
double bound[2] = {0.,0.}; |
| 90 |
> |
double ns[2] = {0.,0.}; |
| 91 |
> |
double ns2 = 0.; |
| 92 |
|
|
| 93 |
< |
TCanvas *cv = new TCanvas("cv","cv",800,600); |
| 93 |
> |
TCanvas *cv = new TCanvas("cv","cv",800,800); |
| 94 |
|
|
| 95 |
|
// Fit QCD in background region |
| 96 |
|
cout<<"Fitting with "<<s0<<" function!"<<endl; |
| 98 |
|
TH1D *h_qcd = (TH1D*)h1->Clone(); |
| 99 |
|
h_all->SetLineWidth(2); |
| 100 |
|
h_all->SetMinimum(0); |
| 81 |
– |
if( jbin == 0) |
| 82 |
– |
h_all->SetTitle(isoname+" RelIso distribution (#geq 1 jet)"); |
| 83 |
– |
else if( jbin == 4) |
| 84 |
– |
h_all->SetTitle(isoname+" RelIso distribution (#geq 4 jets)"); |
| 85 |
– |
else if ( jbin < 4 ) { |
| 86 |
– |
TString title = isoname+" RelIso distribution ("; |
| 87 |
– |
title += jbin; |
| 88 |
– |
if (jbin == 1) |
| 89 |
– |
title += " jet)"; |
| 90 |
– |
else |
| 91 |
– |
title += " jets)"; |
| 92 |
– |
h_all->SetTitle(title); |
| 93 |
– |
} |
| 94 |
– |
else{ |
| 95 |
– |
cout << "Wrong bin number!" << endl; |
| 96 |
– |
} |
| 97 |
– |
h_all->Draw(); |
| 101 |
|
|
| 102 |
+ |
// Get num of bin at peak and bin width |
| 103 |
|
Int_t nbxMax = h_all->GetXaxis()->FindBin(2.0); |
| 104 |
|
h_all->GetXaxis()->SetRange(2,h_all->GetXaxis()->FindBin(bxf)); |
| 105 |
|
Int_t nbMax = h_all->GetMaximumBin(); |
| 106 |
< |
cout << "Bin number at peak= " << nbMax << endl; |
| 106 |
> |
cout << ">>>>> Bin number at peak= " << nbMax << endl; |
| 107 |
|
h_all->GetXaxis()->SetRange(1,nbxMax); |
| 108 |
|
TAxis *axis0 = h_all->GetXaxis(); |
| 109 |
|
double bwidth = axis0->GetBinWidth(nbMax); |
| 110 |
< |
cout << "bwidth = " << bwidth << endl; |
| 110 |
> |
cout << ">>>>> bwidth = " << bwidth << endl; |
| 111 |
> |
|
| 112 |
> |
TString title = "RelIso'"; |
| 113 |
> |
if( jbin == 4) |
| 114 |
> |
title += " (#geq 4 jets)"; |
| 115 |
> |
else if ( jbin == 1 ) { |
| 116 |
> |
title += " ("; |
| 117 |
> |
title += jbin; |
| 118 |
> |
title += " jet)"; |
| 119 |
> |
} |
| 120 |
> |
else if ( jbin < 4 ) { |
| 121 |
> |
title += " ("; |
| 122 |
> |
title += jbin; |
| 123 |
> |
title += " jets)"; |
| 124 |
> |
h_RelIso_all->SetTitle(title); |
| 125 |
> |
} |
| 126 |
> |
else if ( jbin == 5 ) { |
| 127 |
> |
h_RelIso_all->SetTitle( isoname+" RelIso distribution (#geq 1 jets (up to 3 jets))"); |
| 128 |
> |
} |
| 129 |
> |
else { |
| 130 |
> |
cout<<"Don't mess around!!! jbin should be less than 6!"<<endl; |
| 131 |
> |
return; |
| 132 |
> |
} |
| 133 |
> |
// gStyle->SetErrorX(0); |
| 134 |
> |
h_all->GetXaxis()->SetTitle(title); |
| 135 |
> |
h_all->GetXaxis()->SetLabelFont(42); |
| 136 |
> |
h_all->GetXaxis()->SetLabelSize(0.03); |
| 137 |
> |
h_all->GetXaxis()->SetTitleFont(42); |
| 138 |
> |
h_all->GetXaxis()->SetTitleSize(0.035); |
| 139 |
> |
h_all->GetXaxis()->SetTitleOffset(1.2); |
| 140 |
> |
|
| 141 |
> |
h_all->GetYaxis()->SetTitle("Events ( L_{Int}= 20 pb^{-1} )"); |
| 142 |
> |
h_all->GetYaxis()->SetLabelFont(42); |
| 143 |
> |
h_all->GetYaxis()->SetLabelSize(0.03); |
| 144 |
> |
h_all->GetYaxis()->SetTitleFont(42); |
| 145 |
> |
h_all->GetYaxis()->SetTitleSize(0.035); |
| 146 |
> |
h_all->GetYaxis()->SetTitleOffset(1.6); |
| 147 |
> |
h_all->GetXaxis()->SetRangeUser(0.,1.6); |
| 148 |
> |
h_all->Draw("e"); |
| 149 |
|
|
| 150 |
|
cout << "\n>>>>> Iteration step: "<< niter << endl; |
| 151 |
< |
h_all->Fit(s0,"0","",bx0,bxf); |
| 151 |
> |
cout << "\n>>>>> Start fitting control region: " << bx0 << " to " << bxf << endl; |
| 152 |
> |
|
| 153 |
> |
h_all->Fit(s0,"","",bx0,bxf); |
| 154 |
|
|
| 155 |
|
// Very first fit function |
| 156 |
|
TF1 *f0 = (TF1*)h_all->GetFunction(s0); |
| 157 |
|
Int_t npar = f0->GetNpar(); |
| 158 |
|
Double_t chi2 = f0->GetChisquare(); |
| 159 |
|
Int_t ndof = f0->GetNDF(); |
| 160 |
< |
pass[0] = chi2/ndof; |
| 161 |
< |
pass[1] = pass[0]; |
| 162 |
< |
cout << ">> Norm chi2 = " << pass[0] << endl; |
| 163 |
< |
|
| 160 |
> |
pass[0] = chi2/ndof; // Very first fit norm chi2. Fixed range. |
| 161 |
> |
cout << ">>>> Norm chi2 = " << pass[0] << endl; |
| 162 |
> |
if (!dynamic) |
| 163 |
> |
pass[1] = pass[0]; |
| 164 |
> |
else |
| 165 |
> |
pass[1] = 999.; |
| 166 |
> |
|
| 167 |
> |
cout << " >>> Peak at " << f0->GetMaximumX(bx0,bxf) << endl; |
| 168 |
> |
|
| 169 |
|
double * par0 = new double [npar]; |
| 170 |
|
double * parErr0 = new double [npar]; |
| 171 |
|
|
| 178 |
|
par0[i] = f0->GetParameter(i); |
| 179 |
|
parErr0[i] = f0->GetParError(i); |
| 180 |
|
} |
| 181 |
< |
|
| 181 |
> |
bound[0] = bx0; |
| 182 |
> |
bound[1] = bxf; |
| 183 |
|
if(dynamic) { |
| 184 |
|
bx0 = f0->GetParameter(1) - wxmin*f0->GetParameter(2); |
| 185 |
|
bxf = f0->GetParameter(1) + wxmax*f0->GetParameter(2); |
| 186 |
|
} |
| 187 |
+ |
|
| 188 |
|
double delta = pass[1]-pass[2]; |
| 189 |
|
|
| 190 |
< |
while (dynamic && niter <= 20 && abs(pass[1]-pass[2]) > 0.00001) { |
| 190 |
> |
while (dynamic && niter <= 20 && abs(delta) > 0.00001) { |
| 191 |
|
if (niter > 1) |
| 192 |
< |
pass[1]=pass[2]; |
| 193 |
< |
if (delta >= 0){ |
| 192 |
> |
pass[1] = pass[2]; |
| 193 |
> |
if (delta != 0){ |
| 194 |
|
niter++; |
| 195 |
|
cout << "\n>>>>> Iteration step: "<< niter << endl; |
| 196 |
< |
cout << ">> Pass[1] = " << pass[1] << endl; |
| 196 |
> |
cout << ">> Previous step norm. chi2 = " << pass[1] << endl; |
| 197 |
> |
cout << ">>>> Starting fitting new range (bx0, bxf) = (" << bx0; |
| 198 |
> |
cout << ", " << bxf << ")" << endl; |
| 199 |
|
|
| 200 |
|
h_all->Fit(s0,"0","",bx0,bxf); |
| 201 |
< |
TF1 *fi = (TF1*)h_all->GetFunction(s0); |
| 201 |
> |
TF1 *fi = (TF1*)h_all->GetFunction(s0); |
| 202 |
|
pass[2] = fi->GetChisquare()/fi->GetNDF(); |
| 203 |
< |
cout << ">> Norm chi2 = pass[2] = " << pass[2] << endl; |
| 203 |
> |
cout << ">> Current step norm. chi2 = " << pass[2] << endl; |
| 204 |
|
delta = pass[1]-pass[2]; |
| 205 |
|
cout << ">> Delta = " << delta << endl; |
| 206 |
|
|
| 207 |
< |
if (delta >= 0) { |
| 207 |
> |
if (delta > 0) { |
| 208 |
> |
bound[0] = bx0; |
| 209 |
> |
bound[1] = bxf; |
| 210 |
|
printf("Function has %i parameters. Chisquare = %g\n", |
| 211 |
|
npar, |
| 212 |
|
fi->GetChisquare()); |
| 222 |
|
} |
| 223 |
|
bx0 = fi->GetParameter(1) - wxmin*fi->GetParameter(2); |
| 224 |
|
bxf = fi->GetParameter(1) + wxmax*fi->GetParameter(2); |
| 225 |
< |
cout << ">> bx0, bxf = " << bx0 << ", " << bxf << endl; |
| 225 |
> |
cout << ">> Range for next iteration (bx0, bxf) = (" << bx0; |
| 226 |
> |
cout << ", " << bxf << ")" << endl; |
| 227 |
> |
} |
| 228 |
> |
else if (delta < 0) { |
| 229 |
> |
cout << " Use previous fit parameters for extrapolation fit" << endl; |
| 230 |
> |
delta = 0; |
| 231 |
|
} |
| 232 |
|
else { |
| 233 |
< |
cout << ">> Use previous fit!" << endl; |
| 233 |
> |
// bound[0] = (bound[0]<bx0)?bound[0]:bx0; |
| 234 |
> |
// bound[1] = (bound[1]>bxf)?bound[1]:bxf; |
| 235 |
> |
cout << ">> Fit converges." << endl; |
| 236 |
> |
cout << ">> Best fitting region = (" << bound[0]; |
| 237 |
> |
cout << ", " << bound[1] << ")" << endl; |
| 238 |
|
} |
| 239 |
+ |
if (niter == 2) |
| 240 |
+ |
pass[0]=pass[2]; // First dynamic fit norm. chi2 |
| 241 |
|
} |
| 242 |
|
} |
| 243 |
< |
|
| 244 |
< |
cout << ">>> Final fitting resion (bx0, bxf) = " << bx0 << ", " << bxf << endl; |
| 243 |
> |
if(debug){ |
| 244 |
> |
cout << ">>> First dynamic fit norm. chi2 = " << pass[0] << endl; |
| 245 |
> |
cout << ">>> Min dynamic norm. chi2 = " << pass[1] << endl; |
| 246 |
> |
cout << ">>> Last fitting region (bx0, bxf) = (" << bx0 << ", " << bxf << ")"<< endl; |
| 247 |
> |
cout << ">>> Best fitting region (bx0, bxf) = (" << bound[0] << ", "; |
| 248 |
> |
cout << bound[1] << ")"<< endl; |
| 249 |
> |
} |
| 250 |
|
|
| 251 |
|
// Get number of events within fitted region |
| 252 |
|
TAxis *axis = h_all->GetXaxis(); |
| 253 |
< |
int bmin = axis->FindBin(bx0); |
| 254 |
< |
int bmax = axis->FindBin(bxf); |
| 253 |
> |
int bmin = axis->FindBin(bound[0]); |
| 254 |
> |
int bmax = axis->FindBin(bound[1]); |
| 255 |
|
double nfac1 = h_all->Integral(bmin,bmax); |
| 256 |
< |
nfac1 -= (h_all->GetBinContent(bmin))*(bx0-axis->GetBinLowEdge(bmin))/axis->GetBinWidth(bmin); |
| 257 |
< |
nfac1 -= (h_all->GetBinContent(bmax))*(axis->GetBinUpEdge(bmax)-bxf)/axis->GetBinWidth(bmax); |
| 256 |
> |
nfac1 -= (h_all->GetBinContent(bmin))*(bound[0]-axis->GetBinLowEdge(bmin))/axis->GetBinWidth(bmin); |
| 257 |
> |
nfac1 -= (h_all->GetBinContent(bmax))*(axis->GetBinUpEdge(bmax)-bound[1])/axis->GetBinWidth(bmax); |
| 258 |
|
cout << ">>> Final Nfac = " << nfac1 << endl; |
| 259 |
|
|
| 260 |
|
// //////////////////////// |
| 261 |
|
// Histos and extrapolation |
| 262 |
< |
|
| 262 |
> |
// //////////////////////// |
| 263 |
|
TF1 *f1 = (TF1*)f0->Clone(); |
| 264 |
< |
f1->SetRange(bx0,bxf); |
| 264 |
> |
f1->SetRange(bound[0],bound[1]); |
| 265 |
|
for (int i=0;i<npar;i++) { |
| 266 |
|
cout<<" >> Par["<<i<<"]="<<par0[i]<<"; Error="<<parErr0[i]<<endl; |
| 267 |
|
f1->SetParameter(i,par0[i]); |
| 268 |
|
} |
| 198 |
– |
|
| 269 |
|
f1->SetLineColor(2); |
| 270 |
+ |
|
| 271 |
+ |
h_qcd->SetLineWidth(2); |
| 272 |
|
h_qcd->SetLineColor(40); |
| 273 |
|
h_qcd->SetFillStyle(3018); |
| 274 |
|
h_qcd->SetFillColor(38); |
| 275 |
< |
h_qcd->Draw("same"); |
| 275 |
> |
h_qcd->Draw("same hist"); |
| 276 |
|
f1->Draw("same"); |
| 277 |
|
|
| 278 |
|
// Connect fitted and extrapolated region |
| 279 |
|
TF1 *fin = (TF1*)f1->Clone(); |
| 280 |
< |
fin->SetRange(axf,bx0); |
| 280 |
> |
fin->SetRange(axf,bound[0]); |
| 281 |
|
fin->SetLineStyle(2); |
| 282 |
|
fin->SetLineColor(8); |
| 283 |
|
fin->Draw("same"); |
| 284 |
|
|
| 285 |
+ |
if (drawtail){ |
| 286 |
+ |
TF1 *fine = (TF1*)f1->Clone(); |
| 287 |
+ |
fine->SetRange(bound[1],2.0); |
| 288 |
+ |
fine->SetLineStyle(2); |
| 289 |
+ |
fine->SetLineColor(8); |
| 290 |
+ |
fine->Draw("same"); |
| 291 |
+ |
} |
| 292 |
+ |
|
| 293 |
|
TF1 *f2 = (TF1*)f1->Clone(); |
| 294 |
|
f2->SetRange(ax0,axf); |
| 295 |
|
f2->SetLineColor(4); |
| 298 |
|
double *x=new double[np]; |
| 299 |
|
double *w=new double[np]; |
| 300 |
|
f2->CalcGaussLegendreSamplingPoints(np,x,w,1e-15); |
| 301 |
< |
ns = f2->IntegralFast(np,x,w,ax0,axf); |
| 302 |
< |
ns/=(f2->Integral(bx0,bxf)); |
| 303 |
< |
ns*=nfac1; |
| 304 |
< |
cout<<">>> Ns by usual integral = "<<ns<<endl; |
| 301 |
> |
|
| 302 |
> |
if (fileName.Contains("0053") || |
| 303 |
> |
fileName.Contains("TandL") || |
| 304 |
> |
fileName.Contains("Tight")) { |
| 305 |
> |
ns[0] = f2->IntegralFast(np,x,w,ax0,axf); |
| 306 |
> |
ns[0]/=(f2->Integral(bound[0],bound[1])); |
| 307 |
> |
ns[0]*=nfac1; |
| 308 |
> |
} |
| 309 |
> |
else if (fileName.Contains("011") || |
| 310 |
> |
fileName.Contains("Loose")) { |
| 311 |
> |
ns[0] = f2->IntegralFast(np,x,w,ax0,loosecut); |
| 312 |
> |
ns[0]/=(f2->Integral(bound[0],bound[1])); |
| 313 |
> |
ns[0]*=nfac1; |
| 314 |
> |
} |
| 315 |
> |
|
| 316 |
> |
ns[1] = f2->IntegralFast(np,x,w,ax0,loosecut); |
| 317 |
> |
ns[1]/=(f2->Integral(bound[0],bound[1])); |
| 318 |
> |
ns[1]*=nfac1; |
| 319 |
> |
|
| 320 |
> |
if (fileName.Contains("TandL") || fileName.Contains("011")) |
| 321 |
> |
cout << ">>> Loose Ns by usual integral = " << ns[1] << endl; |
| 322 |
> |
else |
| 323 |
> |
cout << ">>> Tight Ns by usual integral = " << ns[0] << endl; |
| 324 |
> |
|
| 325 |
|
delete [] x; |
| 326 |
|
delete [] w; |
| 327 |
|
|
| 330 |
|
ROOT::Math::GSLIntegrator ig(1.E-8,1.E-8,1000); |
| 331 |
|
ROOT::Math::WrappedTF1 wf(*g); |
| 332 |
|
ig.SetFunction(wf); |
| 333 |
< |
ns2 = ig.Integral(ax0,axf); |
| 334 |
< |
ns2/=(g->Integral(bx0,bxf)); |
| 333 |
> |
if (fileName.Contains("0053") || |
| 334 |
> |
fileName.Contains("TandL") || |
| 335 |
> |
fileName.Contains("Tight")) |
| 336 |
> |
ns2 = ig.Integral(ax0,axf); |
| 337 |
> |
else if (fileName.Contains("011") || |
| 338 |
> |
fileName.Contains("Loose")) |
| 339 |
> |
ns2 = ig.Integral(ax0,loosecut); |
| 340 |
> |
|
| 341 |
> |
ns2/=(g->Integral(bound[0],bound[1])); |
| 342 |
|
ns2*=nfac1; |
| 343 |
< |
cout<<">>> Ns by MathMore integral = "<<ns2<<endl; |
| 344 |
< |
|
| 345 |
< |
cv->Update(); |
| 346 |
< |
|
| 347 |
< |
TPaveStats *p1 = (TPaveStats*)h_all->GetListOfFunctions()->FindObject("stats"); |
| 348 |
< |
p1->SetTextColor(kBlue); |
| 349 |
< |
p1->SetX1NDC(0.6); |
| 343 |
> |
cout<<">>> Ns by MathMore integral = "<<ns2<<endl; |
| 344 |
> |
|
| 345 |
> |
if(!dynamic){ |
| 346 |
> |
cv->Update(); |
| 347 |
> |
TPaveStats *p1 = (TPaveStats*)cv->GetPrimitive("stats"); |
| 348 |
> |
} |
| 349 |
> |
else { |
| 350 |
> |
h_all->Fit(s0,"0","",bound[0],bound[1]); |
| 351 |
> |
cv->Update(); |
| 352 |
> |
TPaveStats *p1 = (TPaveStats*)cv->GetPrimitive("stats"); |
| 353 |
> |
} |
| 354 |
> |
p1->SetName("Landau fit"); |
| 355 |
> |
TList *list = p1->GetListOfLines(); |
| 356 |
> |
// TText *tconst = p1->GetLineWith("Constant"); |
| 357 |
> |
// list->Remove(tconst); |
| 358 |
> |
TLatex *myt = new TLatex(0,0,"Landau fit"); |
| 359 |
> |
list->AddFirst(myt); |
| 360 |
> |
h_all->SetStats(0); |
| 361 |
> |
cv->Modified(); |
| 362 |
> |
|
| 363 |
> |
p1->SetTextFont(42); |
| 364 |
> |
p1->SetFillColor(0); |
| 365 |
> |
p1->SetFillStyle(0); |
| 366 |
> |
p1->SetBorderSize(0); |
| 367 |
> |
p1->SetX1NDC(0.65); |
| 368 |
|
p1->SetX2NDC(0.88); |
| 369 |
< |
p1->SetY1NDC(0.62); |
| 370 |
< |
p1->SetY2NDC(0.88); |
| 371 |
< |
p1->Draw(); |
| 369 |
> |
p1->SetY1NDC(0.65); |
| 370 |
> |
p1->SetY2NDC(0.85); |
| 371 |
> |
gPad->Update(); |
| 372 |
|
|
| 373 |
|
// Label histo |
| 374 |
< |
TLegend * leg1 = new TLegend(0.3,0.15,0.68,0.45); |
| 374 |
> |
TLegend * leg1 = new TLegend(0.25,0.65,0.5,0.85); |
| 375 |
> |
leg1->SetFillColor(0); |
| 376 |
> |
leg1->SetFillStyle(0); |
| 377 |
> |
leg1->AddEntry(f1,"Fit of all events in control region","l"); |
| 378 |
> |
leg1->AddEntry(f2,"Extrapolation to signal region","l"); |
| 379 |
|
leg1->AddEntry(h_all,"All events (S+B)"); |
| 380 |
|
leg1->AddEntry(h_qcd,"QCD events"); |
| 252 |
– |
leg1->AddEntry(f1,"Fit of all events in control region"); |
| 253 |
– |
leg1->AddEntry(f2,"Extrapolation to signal region"); |
| 381 |
|
leg1->Draw(); |
| 382 |
+ |
|
| 383 |
|
// Print results |
| 384 |
|
cout << "\n"; |
| 385 |
|
cout << ">>>>> Jet bin " << jbin << ":" << endl; |
| 386 |
< |
cout << ">>>>> Observed Ns = " << ns << endl; |
| 386 |
> |
cout << ">>>>> Bin number at peak = " << nbMax << endl; |
| 387 |
> |
cout << ">>>>> bwidth = " << bwidth << endl; |
| 388 |
> |
if (dynamic) { |
| 389 |
> |
cout << ">>>>> First dynamic fit norm. chi2 = " << pass[0] << endl; |
| 390 |
> |
cout << ">>>>> Min dynamic fit norm. chi2 = " << pass[1] << endl; |
| 391 |
> |
cout << ">>>>> Last fitting region (bx0, bxf) = (" << bx0 << ", " << bxf << ")"<< endl; |
| 392 |
> |
cout << ">>>>> Best fitting region (bx0, bxf) = (" << bound[0] << ", " << bound[1] << ")"<< endl; |
| 393 |
> |
} |
| 394 |
> |
cout << ">>>>> Observed Ns = " << ns[0] << endl; |
| 395 |
|
cout << ">>>>> Expected Na = " << na << endl; |
| 396 |
< |
cout << "Deviation = " << (ns-na)/na*100.0 << " %" <<endl; |
| 397 |
< |
|
| 396 |
> |
cout << "Deviation = " << (ns[0]-na)/na*100.0 << " %" <<endl; |
| 397 |
> |
|
| 398 |
> |
if (fileName.Contains("TandL")) { |
| 399 |
> |
cout << "====================================" << endl; |
| 400 |
> |
cout << ">>>>> Observed Loose Ns = " << ns[1] << endl; |
| 401 |
> |
cout << ">>>>> Expected Loose Na = " << na1 << endl; |
| 402 |
> |
cout << "Deviation = " << (ns[1]-na1)/na1*100.0 << " %" <<endl; |
| 403 |
> |
} |
| 404 |
|
} |
