| 78 |
|
|
| 79 |
|
\begin{equation} |
| 80 |
|
R_{\mu e} = \sqrt{\frac{N_{\mu\mu}^{\rm{offline}}}{N_{ee}^{\rm{offline}}}} = \sqrt{\frac{N_{\mu\mu}^{\rm{trig}}/\epsilon_{\mu\mu}^{\rm{trig}}}{N_{ee}^{\rm{trig}}/\epsilon_{ee}^{\rm{trig}}}} |
| 81 |
< |
= \sqrt{\frac{144122/0.88}{110325/0.95}} = 1.19\pm0.07. |
| 81 |
> |
= \sqrt{\frac{234132/0.86}{185555/0.95}} = 1.18\pm0.07. |
| 82 |
|
\end{equation} |
| 83 |
|
|
| 84 |
|
Here we have used the Z$\to\mu\mu$ and Z$\to$ee yields from Table~\ref{table:zyields_2j} and the trigger efficiencies quoted in Sec.~\ref{sec:datasets}. |
| 87 |
|
|
| 88 |
|
\begin{itemize} |
| 89 |
|
\item $N_{ee}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{ee}^{\rm{trig}}} {2 R_{\mu e}} |
| 90 |
< |
= \frac{N_{e\mu}^{\rm{trig}}}{0.92}\frac{0.95}{2\times1.26} = (0.43\pm0.05) \times N_{e\mu}^{\rm{trig}}$ , |
| 90 |
> |
= \frac{N_{e\mu}^{\rm{trig}}}{0.93}\frac{0.95}{2\times1.18} = (0.43\pm0.05) \times N_{e\mu}^{\rm{trig}}$ , |
| 91 |
|
\item $N_{\mu\mu}^{\rm{predicted}} = \frac {N_{e\mu}^{\rm{trig}}} {\epsilon_{e\mu}^{\rm{trig}}} \frac {\epsilon_{\mu\mu}^{\rm{trig}} R_{\mu e}} {2} |
| 92 |
< |
= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.88 \times 1.26}{2} = (0.55\pm0.07) \times N_{e\mu}^{\rm{trig}}$, |
| 92 |
> |
= \frac {N_{e\mu}^{\rm{trig}}} {0.95} \frac {0.86 \times 1.18}{2} = (0.53\pm0.07) \times N_{e\mu}^{\rm{trig}}$, |
| 93 |
|
\end{itemize} |
| 94 |
|
|
| 95 |
|
and the predicted yield in the combined ee and $\mu\mu$ channel is simply the sum of these two predictions: |
| 96 |
|
|
| 97 |
|
\begin{itemize} |
| 98 |
< |
\item $N_{ee+\mu\mu}^{\rm{predicted}} = (0.99\pm0.06)\times N_{e\mu}^{\rm{trig}}$. |
| 98 |
> |
\item $N_{ee+\mu\mu}^{\rm{predicted}} = (0.97\pm0.06)\times N_{e\mu}^{\rm{trig}}$. |
| 99 |
|
\end{itemize} |
| 100 |
|
|
| 101 |
|
Note that the relative uncertainty in the combined ee and $\mu\mu$ prediction is smaller than those for the individual ee and $\mu\mu$ predictions |
| 104 |
|
To improve the statistical precision of the FS background estimate, we remove the requirement that the e$\mu$ lepton pair falls in the Z mass window. |
| 105 |
|
Instead we scale the e$\mu$ yield by $K$, the efficiency for e$\mu$ events to satisfy the Z mass requirement, extracted from simulation. In Fig.~\ref{fig:K_incl} |
| 106 |
|
we display the value of $K$ in data and simulation, for a variety of \MET\ requirements, for the inclusive analysis. |
| 107 |
< |
Based on this we chose $K=0.14\pm0.02$ for the lower \MET\ regions, $K=0.14\pm0.04$ for the \MET\ $>$ 200 GeV region,and $K=0.14\pm0.09$ for \MET\ $>$ 300 GeV, |
| 107 |
> |
Based on this we chose $K=0.14\pm0.02$ for the lower \MET\ regions, $K=0.14\pm0.04$ for the \MET\ $>$ 200 GeV region, and $K=0.14\pm0.08$ for \MET\ $>$ 300 GeV, |
| 108 |
|
where the larger uncertainties reflect the reduced statistical precision at large \MET. |
| 109 |
|
The corresponding plot for the targeted analysis, including the b-veto, is displayed in Fig.~\ref{fig:K_targeted}. |
| 110 |
< |
Based on this we chose $K=0.13\pm0.02$ |
| 111 |
< |
for all \MET\ regions up to \MET\ $>$ 150 GeV. For the \MET\ $>$ 200 GeV region we choose $K=0.13\pm0.05$, due to the reduced statistical precision. |
| 110 |
> |
Based on this we chose $K=0.13\pm0.02$ for all \MET\ regions up to \MET\ $>$ 100 GeV. |
| 111 |
> |
For the \MET\ $>$ 150 GeV region we choose $K=0.13\pm0.03$ |
| 112 |
> |
and for the \MET\ $>$ 200 GeV region we choose $K=0.13\pm0.05$, |
| 113 |
> |
due to the reduced statistical precision. |
| 114 |
|
|
| 115 |
|
\begin{figure}[!ht] |
| 116 |
|
\begin{center} |
| 117 |
|
\begin{tabular}{cc} |
| 118 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_92fb.pdf} & |
| 119 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_92fb.pdf} \\ |
| 118 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_19p5fb.pdf} & |
| 119 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_19p5fb.pdf} \\ |
| 120 |
|
\end{tabular} |
| 121 |
|
\caption{\label{fig:K_incl} |
| 122 |
|
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
| 123 |
|
exclusive \MET\ intervals (right) for the inclusive analysis. |
| 124 |
+ |
Based on this we chose $K=0.14\pm0.02$ for the lower \MET\ regions, $K=0.14\pm0.04$ for the \MET\ $>$ 200 GeV region, and $K=0.14\pm0.08$ for \MET\ $>$ 300 GeV. |
| 125 |
|
} |
| 126 |
|
|
| 127 |
|
\begin{comment} |
| 128 |
|
|
| 126 |
– |
---------------------------------------- |
| 127 |
– |
EXCLUSIVE RESULTS |
| 128 |
– |
---------------------------------------- |
| 129 |
– |
|
| 130 |
– |
root [3] extractK(true,false,false) |
| 129 |
|
Using selection : ((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20) |
| 130 |
|
Using weight : vtxweight * weight |
| 131 |
< |
OF entries (total) 21691 |
| 132 |
< |
OF entries (Z mass) 2934 |
| 133 |
< |
K 0.135263 |
| 134 |
< |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 137 |
< |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 131 |
> |
OF entries (total) 43808 |
| 132 |
> |
OF entries (Z mass) 6021 |
| 133 |
> |
K 0.137441 |
| 134 |
> |
Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
| 135 |
|
|
| 136 |
|
-------------------------------------------------------------- |
| 137 |
< |
pfmet>0 && pfmet<30 |
| 137 |
> |
pfmet>0 |
| 138 |
|
|
| 139 |
|
data : |
| 140 |
< |
total : 3650 |
| 141 |
< |
Z : 461 |
| 142 |
< |
K : 0.13 +/- 0.006 |
| 140 |
> |
total : 43808 |
| 141 |
> |
Z : 6021 |
| 142 |
> |
K : 0.14 +/- 0.002 |
| 143 |
|
|
| 144 |
|
MC : |
| 145 |
< |
total : 399.019 |
| 146 |
< |
Z : 51.0493 |
| 147 |
< |
K : 0.13 +/- 0.007 |
| 145 |
> |
total : 2378.42 |
| 146 |
> |
Z : 344.559 |
| 147 |
> |
K : 0.14 +/- 0.002 |
| 148 |
|
-------------------------------------------------------------- |
| 149 |
|
|
| 150 |
|
|
| 151 |
|
-------------------------------------------------------------- |
| 152 |
< |
pfmet>30 && pfmet<60 |
| 152 |
> |
pfmet>30 |
| 153 |
|
|
| 154 |
|
data : |
| 155 |
< |
total : 6951 |
| 156 |
< |
Z : 904 |
| 157 |
< |
K : 0.13 +/- 0.004 |
| 155 |
> |
total : 36603 |
| 156 |
> |
Z : 5084 |
| 157 |
> |
K : 0.14 +/- 0.002 |
| 158 |
|
|
| 159 |
|
MC : |
| 160 |
< |
total : 755.309 |
| 161 |
< |
Z : 111.206 |
| 162 |
< |
K : 0.15 +/- 0.003 |
| 160 |
> |
total : 2012.6 |
| 161 |
> |
Z : 297.342 |
| 162 |
> |
K : 0.15 +/- 0.002 |
| 163 |
|
-------------------------------------------------------------- |
| 164 |
|
|
| 165 |
|
|
| 166 |
|
-------------------------------------------------------------- |
| 167 |
< |
pfmet>60 && pfmet<100 |
| 167 |
> |
pfmet>60 |
| 168 |
|
|
| 169 |
|
data : |
| 170 |
< |
total : 7206 |
| 171 |
< |
Z : 1037 |
| 172 |
< |
K : 0.14 +/- 0.004 |
| 170 |
> |
total : 22692 |
| 171 |
> |
Z : 3209 |
| 172 |
> |
K : 0.14 +/- 0.002 |
| 173 |
|
|
| 174 |
|
MC : |
| 175 |
< |
total : 838.418 |
| 176 |
< |
Z : 123.554 |
| 177 |
< |
K : 0.15 +/- 0.003 |
| 175 |
> |
total : 1285.07 |
| 176 |
> |
Z : 189.292 |
| 177 |
> |
K : 0.15 +/- 0.002 |
| 178 |
|
-------------------------------------------------------------- |
| 179 |
|
|
| 180 |
|
|
| 181 |
|
-------------------------------------------------------------- |
| 182 |
< |
pfmet>100 && pfmet<200 |
| 182 |
> |
pfmet>100 |
| 183 |
|
|
| 184 |
|
data : |
| 185 |
< |
total : 3690 |
| 186 |
< |
Z : 512 |
| 187 |
< |
K : 0.14 +/- 0.006 |
| 185 |
> |
total : 7862 |
| 186 |
> |
Z : 1093 |
| 187 |
> |
K : 0.14 +/- 0.004 |
| 188 |
|
|
| 189 |
|
MC : |
| 190 |
< |
total : 451.624 |
| 191 |
< |
Z : 67.7098 |
| 192 |
< |
K : 0.15 +/- 0.004 |
| 190 |
> |
total : 470.932 |
| 191 |
> |
Z : 68.9364 |
| 192 |
> |
K : 0.15 +/- 0.003 |
| 193 |
|
-------------------------------------------------------------- |
| 194 |
|
|
| 195 |
|
|
| 196 |
|
-------------------------------------------------------------- |
| 197 |
< |
pfmet>200 && pfmet<300 |
| 197 |
> |
pfmet>200 |
| 198 |
|
|
| 199 |
|
data : |
| 200 |
< |
total : 172 |
| 201 |
< |
Z : 17 |
| 202 |
< |
K : 0.10 +/- 0.024 |
| 200 |
> |
total : 424 |
| 201 |
> |
Z : 50 |
| 202 |
> |
K : 0.12 +/- 0.017 |
| 203 |
|
|
| 204 |
|
MC : |
| 205 |
< |
total : 24.2441 |
| 206 |
< |
Z : 2.67077 |
| 207 |
< |
K : 0.11 +/- 0.013 |
| 205 |
> |
total : 28.2757 |
| 206 |
> |
Z : 2.87288 |
| 207 |
> |
K : 0.10 +/- 0.011 |
| 208 |
|
-------------------------------------------------------------- |
| 209 |
|
|
| 210 |
|
|
| 212 |
|
pfmet>300 |
| 213 |
|
|
| 214 |
|
data : |
| 215 |
< |
total : 22 |
| 216 |
< |
Z : 3 |
| 217 |
< |
K : 0.14 +/- 0.079 |
| 215 |
> |
total : 52 |
| 216 |
> |
Z : 5 |
| 217 |
> |
K : 0.10 +/- 0.043 |
| 218 |
|
|
| 219 |
|
MC : |
| 220 |
< |
total : 4.53108 |
| 221 |
< |
Z : 0.230071 |
| 222 |
< |
K : 0.05 +/- 0.022 |
| 220 |
> |
total : 3.77378 |
| 221 |
> |
Z : 0.235632 |
| 222 |
> |
K : 0.06 +/- 0.023 |
| 223 |
|
-------------------------------------------------------------- |
| 224 |
|
|
| 228 |
– |
|
| 229 |
– |
|
| 230 |
– |
---------------------------------------- |
| 231 |
– |
INCLUSIVE RESULTS |
| 232 |
– |
---------------------------------------- |
| 233 |
– |
|
| 234 |
– |
root [4] extractK(false,false,false) |
| 225 |
|
Using selection : ((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20) |
| 226 |
|
Using weight : vtxweight * weight |
| 227 |
< |
OF entries (total) 21691 |
| 228 |
< |
OF entries (Z mass) 2934 |
| 229 |
< |
K 0.135263 |
| 227 |
> |
OF entries (total) 43808 |
| 228 |
> |
OF entries (Z mass) 6021 |
| 229 |
> |
K 0.137441 |
| 230 |
|
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 231 |
|
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 232 |
|
|
| 233 |
|
-------------------------------------------------------------- |
| 234 |
< |
pfmet>0 |
| 234 |
> |
pfmet>0 && pfmet<30 |
| 235 |
|
|
| 236 |
|
data : |
| 237 |
< |
total : 21691 |
| 238 |
< |
Z : 2934 |
| 239 |
< |
K : 0.14 +/- 0.002 |
| 237 |
> |
total : 7205 |
| 238 |
> |
Z : 937 |
| 239 |
> |
K : 0.13 +/- 0.004 |
| 240 |
|
|
| 241 |
|
MC : |
| 242 |
< |
total : 2472.89 |
| 243 |
< |
Z : 356.434 |
| 244 |
< |
K : 0.14 +/- 0.002 |
| 242 |
> |
total : 366.332 |
| 243 |
> |
Z : 47.2379 |
| 244 |
> |
K : 0.13 +/- 0.004 |
| 245 |
|
-------------------------------------------------------------- |
| 246 |
|
|
| 247 |
|
|
| 248 |
|
-------------------------------------------------------------- |
| 249 |
< |
pfmet>30 |
| 249 |
> |
pfmet>30 && pfmet<60 |
| 250 |
|
|
| 251 |
|
data : |
| 252 |
< |
total : 18041 |
| 253 |
< |
Z : 2473 |
| 254 |
< |
K : 0.14 +/- 0.003 |
| 252 |
> |
total : 13911 |
| 253 |
> |
Z : 1875 |
| 254 |
> |
K : 0.13 +/- 0.003 |
| 255 |
|
|
| 256 |
|
MC : |
| 257 |
< |
total : 2074.05 |
| 258 |
< |
Z : 305.382 |
| 259 |
< |
K : 0.15 +/- 0.002 |
| 257 |
> |
total : 727.951 |
| 258 |
> |
Z : 108.068 |
| 259 |
> |
K : 0.15 +/- 0.003 |
| 260 |
|
-------------------------------------------------------------- |
| 261 |
|
|
| 262 |
|
|
| 263 |
|
-------------------------------------------------------------- |
| 264 |
< |
pfmet>60 |
| 264 |
> |
pfmet>60 && pfmet<100 |
| 265 |
|
|
| 266 |
|
data : |
| 267 |
< |
total : 11090 |
| 268 |
< |
Z : 1569 |
| 269 |
< |
K : 0.14 +/- 0.004 |
| 267 |
> |
total : 14830 |
| 268 |
> |
Z : 2116 |
| 269 |
> |
K : 0.14 +/- 0.003 |
| 270 |
|
|
| 271 |
|
MC : |
| 272 |
< |
total : 1318.79 |
| 273 |
< |
Z : 194.166 |
| 274 |
< |
K : 0.15 +/- 0.002 |
| 272 |
> |
total : 814.344 |
| 273 |
> |
Z : 120.355 |
| 274 |
> |
K : 0.15 +/- 0.003 |
| 275 |
|
-------------------------------------------------------------- |
| 276 |
|
|
| 277 |
|
|
| 278 |
|
-------------------------------------------------------------- |
| 279 |
< |
pfmet>100 |
| 279 |
> |
pfmet>100 && pfmet<200 |
| 280 |
|
|
| 281 |
|
data : |
| 282 |
< |
total : 3884 |
| 283 |
< |
Z : 532 |
| 284 |
< |
K : 0.14 +/- 0.006 |
| 282 |
> |
total : 7438 |
| 283 |
> |
Z : 1043 |
| 284 |
> |
K : 0.14 +/- 0.004 |
| 285 |
|
|
| 286 |
|
MC : |
| 287 |
< |
total : 480.402 |
| 288 |
< |
Z : 70.6107 |
| 287 |
> |
total : 442.657 |
| 288 |
> |
Z : 66.0631 |
| 289 |
|
K : 0.15 +/- 0.004 |
| 290 |
|
-------------------------------------------------------------- |
| 291 |
|
|
| 292 |
|
|
| 293 |
|
-------------------------------------------------------------- |
| 294 |
< |
pfmet>200 |
| 294 |
> |
pfmet>200 && pfmet<300 |
| 295 |
|
|
| 296 |
|
data : |
| 297 |
< |
total : 194 |
| 298 |
< |
Z : 20 |
| 299 |
< |
K : 0.10 +/- 0.023 |
| 297 |
> |
total : 372 |
| 298 |
> |
Z : 45 |
| 299 |
> |
K : 0.12 +/- 0.018 |
| 300 |
|
|
| 301 |
|
MC : |
| 302 |
< |
total : 28.7751 |
| 303 |
< |
Z : 2.90084 |
| 304 |
< |
K : 0.10 +/- 0.012 |
| 302 |
> |
total : 24.502 |
| 303 |
> |
Z : 2.63725 |
| 304 |
> |
K : 0.11 +/- 0.012 |
| 305 |
|
-------------------------------------------------------------- |
| 306 |
|
|
| 307 |
|
|
| 309 |
|
pfmet>300 |
| 310 |
|
|
| 311 |
|
data : |
| 312 |
< |
total : 22 |
| 313 |
< |
Z : 3 |
| 314 |
< |
K : 0.14 +/- 0.079 |
| 312 |
> |
total : 52 |
| 313 |
> |
Z : 5 |
| 314 |
> |
K : 0.10 +/- 0.043 |
| 315 |
|
|
| 316 |
|
MC : |
| 317 |
< |
total : 4.53108 |
| 318 |
< |
Z : 0.230071 |
| 319 |
< |
K : 0.05 +/- 0.022 |
| 317 |
> |
total : 3.77378 |
| 318 |
> |
Z : 0.235632 |
| 319 |
> |
K : 0.06 +/- 0.023 |
| 320 |
|
-------------------------------------------------------------- |
| 321 |
|
|
| 322 |
+ |
|
| 323 |
|
\end{comment} |
| 324 |
|
|
| 325 |
|
\end{center} |
| 328 |
|
\begin{figure}[!hb] |
| 329 |
|
\begin{center} |
| 330 |
|
\begin{tabular}{cc} |
| 331 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bvetoMedium_92fb.pdf} & |
| 332 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bvetoMedium_92fb.pdf} \\ |
| 331 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bveto_19p5fb.pdf} & |
| 332 |
> |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bveto_19p5fb.pdf} \\ |
| 333 |
|
\end{tabular} |
| 334 |
|
\caption{ |
| 335 |
|
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
| 336 |
|
exclusive \MET\ intervals (right) for the targeted analysis, including the b-veto. |
| 337 |
|
Based on this we chose $K=0.13\pm0.02$ for the \MET\ regions up to \MET\ $>$ 100 GeV. |
| 338 |
< |
For higher \MET\ regions we chose $K=0.13\pm0.07$. |
| 338 |
> |
For \MET\ $>$ 150 we choose $K=0.13\pm0.03$, for \MET\ $>$ 200 GeV we choose $K=0.13\pm0.05$. |
| 339 |
|
%{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
| 340 |
|
\label{fig:K_targeted} |
| 341 |
|
} |
| 342 |
|
\begin{comment} |
| 343 |
|
|
| 353 |
– |
root [2] extractK(true,false,true) |
| 344 |
|
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
| 345 |
|
Using weight : vtxweight * weight |
| 346 |
< |
OF entries (total) 5756 |
| 347 |
< |
OF entries (Z mass) 654 |
| 348 |
< |
K 0.113621 |
| 359 |
< |
Warning in <TStreamerInfo::Compile>: Counter fNClusterRange should not be skipped from class TTree |
| 346 |
> |
OF entries (total) 11172 |
| 347 |
> |
OF entries (Z mass) 1331 |
| 348 |
> |
K 0.119137 |
| 349 |
|
Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
| 350 |
|
|
| 351 |
|
-------------------------------------------------------------- |
| 363 |
– |
pfmet>0 && pfmet<30 |
| 364 |
– |
|
| 365 |
– |
data : |
| 366 |
– |
total : 1303 |
| 367 |
– |
Z : 126 |
| 368 |
– |
K : 0.10 +/- 0.009 |
| 369 |
– |
|
| 370 |
– |
MC : |
| 371 |
– |
total : 131.974 |
| 372 |
– |
Z : 15.1946 |
| 373 |
– |
K : 0.12 +/- 0.020 |
| 374 |
– |
-------------------------------------------------------------- |
| 375 |
– |
|
| 376 |
– |
|
| 377 |
– |
-------------------------------------------------------------- |
| 378 |
– |
pfmet>30 && pfmet<60 |
| 379 |
– |
|
| 380 |
– |
data : |
| 381 |
– |
total : 1818 |
| 382 |
– |
Z : 190 |
| 383 |
– |
K : 0.10 +/- 0.008 |
| 384 |
– |
|
| 385 |
– |
MC : |
| 386 |
– |
total : 172.956 |
| 387 |
– |
Z : 21.9369 |
| 388 |
– |
K : 0.13 +/- 0.007 |
| 389 |
– |
-------------------------------------------------------------- |
| 390 |
– |
|
| 391 |
– |
|
| 392 |
– |
-------------------------------------------------------------- |
| 393 |
– |
pfmet>60 && pfmet<80 |
| 394 |
– |
|
| 395 |
– |
data : |
| 396 |
– |
total : 994 |
| 397 |
– |
Z : 122 |
| 398 |
– |
K : 0.12 +/- 0.011 |
| 399 |
– |
|
| 400 |
– |
MC : |
| 401 |
– |
total : 109.789 |
| 402 |
– |
Z : 13.9792 |
| 403 |
– |
K : 0.13 +/- 0.008 |
| 404 |
– |
-------------------------------------------------------------- |
| 405 |
– |
|
| 406 |
– |
|
| 407 |
– |
-------------------------------------------------------------- |
| 408 |
– |
pfmet>80 && pfmet<100 |
| 409 |
– |
|
| 410 |
– |
data : |
| 411 |
– |
total : 699 |
| 412 |
– |
Z : 99 |
| 413 |
– |
K : 0.14 +/- 0.014 |
| 414 |
– |
|
| 415 |
– |
MC : |
| 416 |
– |
total : 73.3643 |
| 417 |
– |
Z : 11.5154 |
| 418 |
– |
K : 0.16 +/- 0.010 |
| 419 |
– |
-------------------------------------------------------------- |
| 420 |
– |
|
| 421 |
– |
|
| 422 |
– |
-------------------------------------------------------------- |
| 423 |
– |
pfmet>100 && pfmet<150 |
| 424 |
– |
|
| 425 |
– |
data : |
| 426 |
– |
total : 722 |
| 427 |
– |
Z : 93 |
| 428 |
– |
K : 0.13 +/- 0.013 |
| 429 |
– |
|
| 430 |
– |
MC : |
| 431 |
– |
total : 86.7947 |
| 432 |
– |
Z : 11.742 |
| 433 |
– |
K : 0.14 +/- 0.009 |
| 434 |
– |
-------------------------------------------------------------- |
| 435 |
– |
|
| 436 |
– |
|
| 437 |
– |
-------------------------------------------------------------- |
| 438 |
– |
pfmet>150 && pfmet<200 |
| 439 |
– |
|
| 440 |
– |
data : |
| 441 |
– |
total : 163 |
| 442 |
– |
Z : 18 |
| 443 |
– |
K : 0.11 +/- 0.026 |
| 444 |
– |
|
| 445 |
– |
MC : |
| 446 |
– |
total : 19.4473 |
| 447 |
– |
Z : 2.97965 |
| 448 |
– |
K : 0.15 +/- 0.017 |
| 449 |
– |
-------------------------------------------------------------- |
| 450 |
– |
|
| 451 |
– |
|
| 452 |
– |
-------------------------------------------------------------- |
| 453 |
– |
pfmet>200 |
| 454 |
– |
|
| 455 |
– |
data : |
| 456 |
– |
total : 57 |
| 457 |
– |
Z : 6 |
| 458 |
– |
K : 0.11 +/- 0.043 |
| 459 |
– |
|
| 460 |
– |
MC : |
| 461 |
– |
total : 8.99801 |
| 462 |
– |
Z : 0.794136 |
| 463 |
– |
K : 0.09 +/- 0.021 |
| 464 |
– |
-------------------------------------------------------------- |
| 465 |
– |
|
| 466 |
– |
root [3] Info in <TCanvas::Print>: pdf file /Users/benhoob/tas/ZMet2012/plots/extractK_exclusive_bvetoMedium_92fb.pdf has been created |
| 467 |
– |
|
| 468 |
– |
root [3] |
| 469 |
– |
root [3] extractK(false,false,true) |
| 470 |
– |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
| 471 |
– |
Using weight : vtxweight * weight |
| 472 |
– |
OF entries (total) 5756 |
| 473 |
– |
OF entries (Z mass) 654 |
| 474 |
– |
K 0.113621 |
| 475 |
– |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 476 |
– |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 477 |
– |
|
| 478 |
– |
-------------------------------------------------------------- |
| 352 |
|
pfmet>0 |
| 353 |
|
|
| 354 |
|
data : |
| 355 |
< |
total : 5756 |
| 356 |
< |
Z : 654 |
| 357 |
< |
K : 0.11 +/- 0.004 |
| 355 |
> |
total : 11172 |
| 356 |
> |
Z : 1331 |
| 357 |
> |
K : 0.12 +/- 0.003 |
| 358 |
|
|
| 359 |
|
MC : |
| 360 |
< |
total : 603.333 |
| 361 |
< |
Z : 78.1422 |
| 362 |
< |
K : 0.13 +/- 0.005 |
| 360 |
> |
total : 556.3 |
| 361 |
> |
Z : 72.3357 |
| 362 |
> |
K : 0.13 +/- 0.003 |
| 363 |
|
-------------------------------------------------------------- |
| 364 |
|
|
| 365 |
|
|
| 367 |
|
pfmet>30 |
| 368 |
|
|
| 369 |
|
data : |
| 370 |
< |
total : 4453 |
| 371 |
< |
Z : 528 |
| 372 |
< |
K : 0.12 +/- 0.005 |
| 370 |
> |
total : 8811 |
| 371 |
> |
Z : 1085 |
| 372 |
> |
K : 0.12 +/- 0.004 |
| 373 |
|
|
| 374 |
|
MC : |
| 375 |
< |
total : 471.396 |
| 376 |
< |
Z : 62.9476 |
| 377 |
< |
K : 0.13 +/- 0.004 |
| 375 |
> |
total : 447.641 |
| 376 |
> |
Z : 60.0542 |
| 377 |
> |
K : 0.13 +/- 0.003 |
| 378 |
|
-------------------------------------------------------------- |
| 379 |
|
|
| 380 |
|
|
| 382 |
|
pfmet>60 |
| 383 |
|
|
| 384 |
|
data : |
| 385 |
< |
total : 2635 |
| 386 |
< |
Z : 338 |
| 387 |
< |
K : 0.13 +/- 0.007 |
| 385 |
> |
total : 5263 |
| 386 |
> |
Z : 677 |
| 387 |
> |
K : 0.13 +/- 0.005 |
| 388 |
|
|
| 389 |
|
MC : |
| 390 |
< |
total : 298.41 |
| 391 |
< |
Z : 41.0107 |
| 392 |
< |
K : 0.14 +/- 0.005 |
| 390 |
> |
total : 285.463 |
| 391 |
> |
Z : 39.2608 |
| 392 |
> |
K : 0.14 +/- 0.004 |
| 393 |
|
-------------------------------------------------------------- |
| 394 |
|
|
| 395 |
|
|
| 397 |
|
pfmet>80 |
| 398 |
|
|
| 399 |
|
data : |
| 400 |
< |
total : 1641 |
| 401 |
< |
Z : 216 |
| 402 |
< |
K : 0.13 +/- 0.009 |
| 400 |
> |
total : 3325 |
| 401 |
> |
Z : 422 |
| 402 |
> |
K : 0.13 +/- 0.006 |
| 403 |
|
|
| 404 |
|
MC : |
| 405 |
< |
total : 188.602 |
| 406 |
< |
Z : 27.0313 |
| 407 |
< |
K : 0.14 +/- 0.006 |
| 405 |
> |
total : 183.689 |
| 406 |
> |
Z : 25.7671 |
| 407 |
> |
K : 0.14 +/- 0.005 |
| 408 |
|
-------------------------------------------------------------- |
| 409 |
|
|
| 410 |
|
|
| 412 |
|
pfmet>100 |
| 413 |
|
|
| 414 |
|
data : |
| 415 |
< |
total : 942 |
| 416 |
< |
Z : 117 |
| 417 |
< |
K : 0.12 +/- 0.011 |
| 415 |
> |
total : 1883 |
| 416 |
> |
Z : 234 |
| 417 |
> |
K : 0.12 +/- 0.008 |
| 418 |
|
|
| 419 |
|
MC : |
| 420 |
< |
total : 115.24 |
| 421 |
< |
Z : 15.5158 |
| 422 |
< |
K : 0.13 +/- 0.008 |
| 420 |
> |
total : 111.774 |
| 421 |
> |
Z : 14.7812 |
| 422 |
> |
K : 0.13 +/- 0.006 |
| 423 |
|
-------------------------------------------------------------- |
| 424 |
|
|
| 425 |
|
|
| 427 |
|
pfmet>150 |
| 428 |
|
|
| 429 |
|
data : |
| 430 |
< |
total : 220 |
| 431 |
< |
Z : 24 |
| 432 |
< |
K : 0.11 +/- 0.022 |
| 430 |
> |
total : 451 |
| 431 |
> |
Z : 46 |
| 432 |
> |
K : 0.10 +/- 0.015 |
| 433 |
|
|
| 434 |
|
MC : |
| 435 |
< |
total : 28.4454 |
| 436 |
< |
Z : 3.77378 |
| 437 |
< |
K : 0.13 +/- 0.014 |
| 435 |
> |
total : 29.4551 |
| 436 |
> |
Z : 3.57377 |
| 437 |
> |
K : 0.12 +/- 0.012 |
| 438 |
|
-------------------------------------------------------------- |
| 439 |
|
|
| 440 |
|
|
| 442 |
|
pfmet>200 |
| 443 |
|
|
| 444 |
|
data : |
| 445 |
< |
total : 57 |
| 446 |
< |
Z : 6 |
| 447 |
< |
K : 0.11 +/- 0.043 |
| 445 |
> |
total : 138 |
| 446 |
> |
Z : 15 |
| 447 |
> |
K : 0.11 +/- 0.028 |
| 448 |
|
|
| 449 |
|
MC : |
| 450 |
< |
total : 8.99801 |
| 451 |
< |
Z : 0.794136 |
| 452 |
< |
K : 0.09 +/- 0.021 |
| 450 |
> |
total : 8.60692 |
| 451 |
> |
Z : 0.775129 |
| 452 |
> |
K : 0.09 +/- 0.017 |
| 453 |
|
-------------------------------------------------------------- |
| 454 |
|
|
| 455 |
< |
\end{comment} |
| 583 |
< |
|
| 584 |
< |
\end{center} |
| 585 |
< |
\end{figure} |
| 586 |
< |
|
| 587 |
< |
|
| 588 |
< |
\begin{comment} |
| 589 |
< |
|
| 590 |
< |
\begin{figure}[!hb] |
| 591 |
< |
\begin{center} |
| 592 |
< |
\begin{tabular}{cc} |
| 593 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_inclusive_bvetoLoose_92fb.pdf} & |
| 594 |
< |
\includegraphics[width=0.4\textwidth]{plots/extractK_exclusive_bvetoLoose_92fb.pdf} \\ |
| 595 |
< |
\end{tabular} |
| 596 |
< |
\caption{ |
| 597 |
< |
The efficiency for e$\mu$ events to satisfy the dilepton mass requirement, $K$, in data and simulation for inclusive \MET\ intervals (left) and |
| 598 |
< |
exclusive \MET\ intervals (right) for the targeted analysis, including the b-veto. |
| 599 |
< |
%{\bf FIXME plots made with 10\% of \zjets\ MC statistics, to be remade with full statistics} |
| 600 |
< |
\label{fig:K_targeted}} |
| 601 |
< |
|
| 602 |
< |
|
| 603 |
< |
root [2] extractK(true,false,true) |
| 604 |
< |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvl==0) |
| 455 |
> |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvm==0) |
| 456 |
|
Using weight : vtxweight * weight |
| 457 |
< |
OF entries (total) 2715 |
| 458 |
< |
OF entries (Z mass) 279 |
| 459 |
< |
K 0.102762 |
| 460 |
< |
Warning in <TStreamerInfo::Compile>: Counter fNClusterRange should not be skipped from class TTree |
| 461 |
< |
Info in <TCanvas::MakeDefCanvas>: created default TCanvas with name c1 |
| 457 |
> |
OF entries (total) 11172 |
| 458 |
> |
OF entries (Z mass) 1331 |
| 459 |
> |
K 0.119137 |
| 460 |
> |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 461 |
> |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 462 |
|
|
| 463 |
|
-------------------------------------------------------------- |
| 464 |
|
pfmet>0 && pfmet<30 |
| 465 |
|
|
| 466 |
|
data : |
| 467 |
< |
total : 713 |
| 468 |
< |
Z : 59 |
| 469 |
< |
K : 0.08 +/- 0.011 |
| 467 |
> |
total : 2361 |
| 468 |
> |
Z : 246 |
| 469 |
> |
K : 0.10 +/- 0.007 |
| 470 |
|
|
| 471 |
|
MC : |
| 472 |
< |
total : 74.2549 |
| 473 |
< |
Z : 7.09789 |
| 474 |
< |
K : 0.10 +/- 0.025 |
| 472 |
> |
total : 108.378 |
| 473 |
> |
Z : 12.2795 |
| 474 |
> |
K : 0.11 +/- 0.008 |
| 475 |
|
-------------------------------------------------------------- |
| 476 |
|
|
| 477 |
|
|
| 479 |
|
pfmet>30 && pfmet<60 |
| 480 |
|
|
| 481 |
|
data : |
| 482 |
< |
total : 850 |
| 483 |
< |
Z : 79 |
| 484 |
< |
K : 0.09 +/- 0.010 |
| 482 |
> |
total : 3548 |
| 483 |
> |
Z : 408 |
| 484 |
> |
K : 0.11 +/- 0.006 |
| 485 |
|
|
| 486 |
|
MC : |
| 487 |
< |
total : 84.6973 |
| 488 |
< |
Z : 9.55105 |
| 489 |
< |
K : 0.11 +/- 0.009 |
| 487 |
> |
total : 162.246 |
| 488 |
> |
Z : 20.7935 |
| 489 |
> |
K : 0.13 +/- 0.006 |
| 490 |
|
-------------------------------------------------------------- |
| 491 |
|
|
| 492 |
|
|
| 494 |
|
pfmet>60 && pfmet<80 |
| 495 |
|
|
| 496 |
|
data : |
| 497 |
< |
total : 469 |
| 498 |
< |
Z : 61 |
| 499 |
< |
K : 0.13 +/- 0.017 |
| 497 |
> |
total : 1938 |
| 498 |
> |
Z : 255 |
| 499 |
> |
K : 0.13 +/- 0.008 |
| 500 |
|
|
| 501 |
|
MC : |
| 502 |
< |
total : 50.1496 |
| 503 |
< |
Z : 5.92081 |
| 504 |
< |
K : 0.12 +/- 0.012 |
| 502 |
> |
total : 101.801 |
| 503 |
> |
Z : 13.4941 |
| 504 |
> |
K : 0.13 +/- 0.007 |
| 505 |
|
-------------------------------------------------------------- |
| 506 |
|
|
| 507 |
|
|
| 509 |
|
pfmet>80 && pfmet<100 |
| 510 |
|
|
| 511 |
|
data : |
| 512 |
< |
total : 269 |
| 513 |
< |
Z : 33 |
| 514 |
< |
K : 0.12 +/- 0.021 |
| 512 |
> |
total : 1442 |
| 513 |
> |
Z : 188 |
| 514 |
> |
K : 0.13 +/- 0.010 |
| 515 |
|
|
| 516 |
|
MC : |
| 517 |
< |
total : 30.0547 |
| 518 |
< |
Z : 4.67993 |
| 519 |
< |
K : 0.16 +/- 0.014 |
| 517 |
> |
total : 71.9073 |
| 518 |
> |
Z : 10.986 |
| 519 |
> |
K : 0.15 +/- 0.009 |
| 520 |
|
-------------------------------------------------------------- |
| 521 |
|
|
| 522 |
|
|
| 524 |
|
pfmet>100 && pfmet<150 |
| 525 |
|
|
| 526 |
|
data : |
| 527 |
< |
total : 311 |
| 528 |
< |
Z : 34 |
| 529 |
< |
K : 0.11 +/- 0.019 |
| 527 |
> |
total : 1432 |
| 528 |
> |
Z : 188 |
| 529 |
> |
K : 0.13 +/- 0.010 |
| 530 |
|
|
| 531 |
|
MC : |
| 532 |
< |
total : 39.4475 |
| 533 |
< |
Z : 5.02593 |
| 534 |
< |
K : 0.13 +/- 0.014 |
| 532 |
> |
total : 82.3186 |
| 533 |
> |
Z : 11.2075 |
| 534 |
> |
K : 0.14 +/- 0.008 |
| 535 |
|
-------------------------------------------------------------- |
| 536 |
|
|
| 537 |
|
|
| 539 |
|
pfmet>150 && pfmet<200 |
| 540 |
|
|
| 541 |
|
data : |
| 542 |
< |
total : 79 |
| 543 |
< |
Z : 10 |
| 544 |
< |
K : 0.13 +/- 0.040 |
| 542 |
> |
total : 313 |
| 543 |
> |
Z : 31 |
| 544 |
> |
K : 0.10 +/- 0.018 |
| 545 |
|
|
| 546 |
|
MC : |
| 547 |
< |
total : 9.96228 |
| 548 |
< |
Z : 1.4975 |
| 549 |
< |
K : 0.15 +/- 0.023 |
| 547 |
> |
total : 20.8482 |
| 548 |
> |
Z : 2.79864 |
| 549 |
> |
K : 0.13 +/- 0.015 |
| 550 |
|
-------------------------------------------------------------- |
| 551 |
|
|
| 552 |
|
|
| 554 |
|
pfmet>200 |
| 555 |
|
|
| 556 |
|
data : |
| 557 |
< |
total : 24 |
| 558 |
< |
Z : 3 |
| 559 |
< |
K : 0.12 +/- 0.072 |
| 557 |
> |
total : 138 |
| 558 |
> |
Z : 15 |
| 559 |
> |
K : 0.11 +/- 0.028 |
| 560 |
|
|
| 561 |
|
MC : |
| 562 |
< |
total : 5.3503 |
| 563 |
< |
Z : 0.425719 |
| 564 |
< |
K : 0.08 +/- 0.027 |
| 562 |
> |
total : 8.60692 |
| 563 |
> |
Z : 0.775129 |
| 564 |
> |
K : 0.09 +/- 0.017 |
| 565 |
|
-------------------------------------------------------------- |
| 566 |
|
|
| 716 |
– |
root [3] Info in <TCanvas::Print>: pdf file /Users/benhoob/tas/ZMet2012/plots/extractK_exclusive_bvetoLoose_92fb.pdf has been created |
| 567 |
|
|
| 718 |
– |
root [3] |
| 719 |
– |
root [3] extractK(false,false,true) |
| 720 |
– |
Using selection : (((((leptype==2)&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(isdata==0 || (run<197556 || run>198913)))&&(njets>=2))&&(lep1.pt()>20 && lep2.pt()>20))&&(nbcsvl==0) |
| 721 |
– |
Using weight : vtxweight * weight |
| 722 |
– |
OF entries (total) 2715 |
| 723 |
– |
OF entries (Z mass) 279 |
| 724 |
– |
K 0.102762 |
| 725 |
– |
Warning in <TROOT::Append>: Replacing existing TH1: htot (Potential memory leak). |
| 726 |
– |
Warning in <TROOT::Append>: Replacing existing TH1: hZ (Potential memory leak). |
| 727 |
– |
|
| 728 |
– |
-------------------------------------------------------------- |
| 729 |
– |
pfmet>0 |
| 730 |
– |
|
| 731 |
– |
data : |
| 732 |
– |
total : 2715 |
| 733 |
– |
Z : 279 |
| 734 |
– |
K : 0.10 +/- 0.006 |
| 735 |
– |
|
| 736 |
– |
MC : |
| 737 |
– |
total : 293.912 |
| 738 |
– |
Z : 34.199 |
| 739 |
– |
K : 0.12 +/- 0.008 |
| 740 |
– |
-------------------------------------------------------------- |
| 741 |
– |
|
| 742 |
– |
|
| 743 |
– |
-------------------------------------------------------------- |
| 744 |
– |
pfmet>30 |
| 568 |
|
|
| 746 |
– |
data : |
| 747 |
– |
total : 2002 |
| 748 |
– |
Z : 220 |
| 749 |
– |
K : 0.11 +/- 0.007 |
| 750 |
– |
|
| 751 |
– |
MC : |
| 752 |
– |
total : 219.661 |
| 753 |
– |
Z : 27.101 |
| 754 |
– |
K : 0.12 +/- 0.006 |
| 755 |
– |
-------------------------------------------------------------- |
| 756 |
– |
|
| 757 |
– |
|
| 758 |
– |
-------------------------------------------------------------- |
| 759 |
– |
pfmet>60 |
| 760 |
– |
|
| 761 |
– |
data : |
| 762 |
– |
total : 1152 |
| 763 |
– |
Z : 141 |
| 764 |
– |
K : 0.12 +/- 0.010 |
| 765 |
– |
|
| 766 |
– |
MC : |
| 767 |
– |
total : 134.962 |
| 768 |
– |
Z : 17.5498 |
| 769 |
– |
K : 0.13 +/- 0.007 |
| 770 |
– |
-------------------------------------------------------------- |
| 771 |
– |
|
| 772 |
– |
|
| 773 |
– |
-------------------------------------------------------------- |
| 774 |
– |
pfmet>80 |
| 775 |
– |
|
| 776 |
– |
data : |
| 777 |
– |
total : 683 |
| 778 |
– |
Z : 80 |
| 779 |
– |
K : 0.12 +/- 0.013 |
| 780 |
– |
|
| 781 |
– |
MC : |
| 782 |
– |
total : 84.8149 |
| 783 |
– |
Z : 11.629 |
| 784 |
– |
K : 0.14 +/- 0.009 |
| 785 |
– |
-------------------------------------------------------------- |
| 786 |
– |
|
| 787 |
– |
|
| 788 |
– |
-------------------------------------------------------------- |
| 789 |
– |
pfmet>100 |
| 790 |
– |
|
| 791 |
– |
data : |
| 792 |
– |
total : 414 |
| 793 |
– |
Z : 47 |
| 794 |
– |
K : 0.11 +/- 0.017 |
| 795 |
– |
|
| 796 |
– |
MC : |
| 797 |
– |
total : 54.7604 |
| 798 |
– |
Z : 6.94915 |
| 799 |
– |
K : 0.13 +/- 0.011 |
| 800 |
– |
-------------------------------------------------------------- |
| 801 |
– |
|
| 802 |
– |
|
| 803 |
– |
-------------------------------------------------------------- |
| 804 |
– |
pfmet>150 |
| 805 |
– |
|
| 806 |
– |
data : |
| 807 |
– |
total : 103 |
| 808 |
– |
Z : 13 |
| 809 |
– |
K : 0.13 +/- 0.035 |
| 810 |
– |
|
| 811 |
– |
MC : |
| 812 |
– |
total : 15.3125 |
| 813 |
– |
Z : 1.92322 |
| 814 |
– |
K : 0.13 +/- 0.019 |
| 815 |
– |
-------------------------------------------------------------- |
| 816 |
– |
|
| 817 |
– |
|
| 818 |
– |
-------------------------------------------------------------- |
| 819 |
– |
pfmet>200 |
| 820 |
– |
|
| 821 |
– |
data : |
| 822 |
– |
total : 24 |
| 823 |
– |
Z : 3 |
| 824 |
– |
K : 0.12 +/- 0.072 |
| 825 |
– |
|
| 826 |
– |
MC : |
| 827 |
– |
total : 5.3503 |
| 828 |
– |
Z : 0.425719 |
| 829 |
– |
K : 0.08 +/- 0.027 |
| 830 |
– |
-------------------------------------------------------------- |
| 569 |
|
|
| 570 |
+ |
\end{comment} |
| 571 |
|
|
| 572 |
|
\end{center} |
| 573 |
|
\end{figure} |
| 574 |
|
|
| 575 |
|
|
| 837 |
– |
\end{comment} |
| 838 |
– |
|
| 839 |
– |
|
| 576 |
|
\clearpage |
| 577 |
|
|
| 578 |
|
\subsection{Estimating the WZ and ZZ Background with MC} |
| 597 |
|
\end{itemize} |
| 598 |
|
|
| 599 |
|
The data and MC yields passing the above selection are in Table~\ref{tab:wz}. |
| 600 |
< |
The inclusive yields (without any jet requirements) agree within 13\%, which is consistent within |
| 601 |
< |
the uncertainty in the CMS measured WZ cross section (17\%). A data vs. MC comparison of kinematic |
| 600 |
> |
The inclusive yields (without any jet requirements) agree within 16\%, which is consistent within |
| 601 |
> |
the $\approx$15\% uncertainty in the theory prediction for the WZ cross section. A data vs. MC comparison of kinematic |
| 602 |
|
distributions (jet multiplicity, \MET, Z \pt) is given in Fig.~\ref{fig:wz}. High \MET\ |
| 603 |
|
values in WZ and ZZ events arise from highly boosted W or Z bosons that decay leptonically, |
| 604 |
|
and we therefore check that the MC does a reasonable job of reproducing the \pt distributions of the |
| 605 |
|
leptonically decaying \Z. While the inclusive WZ yields are in reasonable agreement, we observe |
| 606 |
|
an excess in data in events with at least 2 jets, corresponding to the jet multiplicity requirement |
| 607 |
< |
in our preselection. We observe 106 events in data while the MC predicts $62\pm1.5$~(stat), representing an excess of 71\%, |
| 608 |
< |
as indicated in Table~\ref{tab:wz2j}. |
| 609 |
< |
This excess will be studied further. For the time being, based on these studies we currently assess an uncertainty of 70\% on the WZ yield. |
| 610 |
< |
A data vs. MC comparison of several kinematic quantities in the sample with 3 leptons and at least 2 jets can be found in App.~\ref{app:WZ}. |
| 607 |
> |
in our preselection. We observe 200 events in data while the MC predicts $130\pm3.1$~(stat), representing an excess of 53\%, |
| 608 |
> |
as indicated in Table~\ref{tab:wz2j}, and we therefore assess an uncertainty of 50\% on the WZ background. |
| 609 |
> |
%We note that the contributions from fake leptons and from \zjets\ with mismeasured \MET\ |
| 610 |
> |
%is underestimated in the MC. |
| 611 |
> |
%This excess will be studied further. For the time being, based on these studies we currently assess an uncertainty of 50\% on the WZ yield. |
| 612 |
> |
%A data vs. MC comparison of several kinematic quantities in the sample with 3 leptons and at least 2 jets can be found in App.~\ref{app:WZ}. |
| 613 |
|
|
| 614 |
|
\begin{comment} |
| 615 |
|
We note some possible contributions to this discrepancy: |
| 644 |
|
\begin{center} |
| 645 |
|
\caption{\label{tab:wz} Data and Monte Carlo yields passing the WZ preselection. } |
| 646 |
|
\begin{tabular}{lccccc} |
| 647 |
+ |
|
| 648 |
+ |
%Loading babies at : ../output/V00-02-00 |
| 649 |
+ |
%Using selection : (((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101) |
| 650 |
+ |
%Using weight : weight * 19.3 * trgeff * vtxweight |
| 651 |
+ |
|
| 652 |
|
\hline |
| 653 |
|
\hline |
| 654 |
< |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 654 |
> |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 655 |
|
\hline |
| 656 |
< |
|
| 657 |
< |
%Loading babies at : ../output/V00-01-04 |
| 658 |
< |
%Using selection : ((((((isdata==0 || (run<197556 || run>198913))&&(((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0))))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101) |
| 659 |
< |
%Using weight : weight * 9.2 * trgeff * vtxweight |
| 660 |
< |
|
| 661 |
< |
WZ &116.7 $\pm$ 0.8 &151.5 $\pm$ 0.8 & 8.1 $\pm$ 0.2 &276.3 $\pm$ 1.2 \\ |
| 662 |
< |
ttV & 4.1 $\pm$ 0.2 & 4.9 $\pm$ 0.2 & 1.2 $\pm$ 0.1 & 10.2 $\pm$ 0.3 \\ |
| 663 |
< |
\ttbar & 1.2 $\pm$ 0.6 & 3.2 $\pm$ 0.9 & 3.6 $\pm$ 1.0 & 7.9 $\pm$ 1.5 \\ |
| 664 |
< |
ZZ & 2.5 $\pm$ 0.0 & 3.4 $\pm$ 0.0 & 0.2 $\pm$ 0.0 & 6.1 $\pm$ 0.0 \\ |
| 922 |
< |
\zjets & 1.2 $\pm$ 0.9 & 3.0 $\pm$ 1.8 & 0.0 $\pm$ 0.0 & 4.2 $\pm$ 2.1 \\ |
| 923 |
< |
vvv & 1.6 $\pm$ 0.1 & 2.1 $\pm$ 0.1 & 0.3 $\pm$ 0.0 & 4.0 $\pm$ 0.1 \\ |
| 924 |
< |
single top & 0.0 $\pm$ 0.0 & 0.2 $\pm$ 0.2 & 0.0 $\pm$ 0.0 & 0.2 $\pm$ 0.2 \\ |
| 925 |
< |
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 0.1 $\pm$ 0.1 \\ |
| 656 |
> |
%SCALING ZJETS BY 111/946 |
| 657 |
> |
WZ &244.9 $\pm$ 1.6 &317.9 $\pm$ 1.8 & 17.0 $\pm$ 0.4 &579.7 $\pm$ 2.4 \\ |
| 658 |
> |
\zjets & 2.5 $\pm$ 2.0 & 6.4 $\pm$ 3.9 & 0.0 $\pm$ 0.0 & 8.9 $\pm$ 4.3 \\ |
| 659 |
> |
ZZ & 5.3 $\pm$ 0.0 & 7.1 $\pm$ 0.1 & 0.4 $\pm$ 0.0 & 12.8 $\pm$ 0.1 \\ |
| 660 |
> |
\ttbar & 2.5 $\pm$ 1.3 & 6.7 $\pm$ 2.0 & 7.5 $\pm$ 2.1 & 16.7 $\pm$ 3.2 \\ |
| 661 |
> |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\ |
| 662 |
> |
WW & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.1 & 0.2 $\pm$ 0.1 & 0.3 $\pm$ 0.1 \\ |
| 663 |
> |
ttV & 8.6 $\pm$ 0.4 & 10.3 $\pm$ 0.4 & 2.5 $\pm$ 0.2 & 21.5 $\pm$ 0.7 \\ |
| 664 |
> |
VVV & 3.4 $\pm$ 0.1 & 4.3 $\pm$ 0.1 & 0.6 $\pm$ 0.1 & 8.3 $\pm$ 0.2 \\ |
| 665 |
|
\hline |
| 666 |
< |
tot SM MC &127.3 $\pm$ 1.4 &168.4 $\pm$ 2.3 & 13.5 $\pm$ 1.0 &309.2 $\pm$ 2.8 \\ |
| 666 |
> |
tot SM MC &267.1 $\pm$ 2.9 &353.3 $\pm$ 4.7 & 28.2 $\pm$ 2.2 &648.6 $\pm$ 6.0 \\ |
| 667 |
|
\hline |
| 668 |
< |
data & 156 & 178 & 16 & 350 \\ |
| 668 |
> |
data & 312 & 391 & 50 & 753 \\ |
| 669 |
|
\hline |
| 670 |
|
\hline |
| 671 |
|
|
| 677 |
|
\begin{center} |
| 678 |
|
\caption{\label{tab:wz2j} Data and Monte Carlo yields passing the WZ preselection and \njets\ $\geq$ 2. } |
| 679 |
|
\begin{tabular}{lccccc} |
| 680 |
+ |
|
| 681 |
+ |
%Loading babies at : ../output/V00-02-00 |
| 682 |
+ |
%------------------------------------- |
| 683 |
+ |
%USING SKIMMED SAMPLES WITH NJETS >= 2 |
| 684 |
+ |
%------------------------------------- |
| 685 |
+ |
|
| 686 |
+ |
%Using selection : ((((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101))&&(njets>=2) |
| 687 |
+ |
%Using weight : weight * 19.3 * trgeff * vtxweight |
| 688 |
+ |
|
| 689 |
|
\hline |
| 690 |
|
\hline |
| 691 |
< |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 691 |
> |
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 692 |
|
\hline |
| 693 |
< |
|
| 694 |
< |
%Loading babies at : ../output/V00-01-04 |
| 695 |
< |
%Using selection : (((((((isdata==0 || (run<197556 || run>198913))&&(((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0))))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101))&&(njets>=2) |
| 696 |
< |
%Using weight : weight * 9.2 * trgeff * vtxweight |
| 697 |
< |
|
| 698 |
< |
WZ & 19.1 $\pm$ 0.3 & 24.6 $\pm$ 0.3 & 1.3 $\pm$ 0.1 & 44.9 $\pm$ 0.5 \\ |
| 951 |
< |
ttV & 3.8 $\pm$ 0.2 & 4.5 $\pm$ 0.2 & 1.0 $\pm$ 0.1 & 9.3 $\pm$ 0.3 \\ |
| 952 |
< |
\ttbar & 0.8 $\pm$ 0.5 & 1.6 $\pm$ 0.7 & 0.9 $\pm$ 0.5 & 3.3 $\pm$ 1.0 \\ |
| 953 |
< |
ZZ & 0.5 $\pm$ 0.0 & 0.7 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 1.2 $\pm$ 0.0 \\ |
| 954 |
< |
\zjets & 0.9 $\pm$ 0.9 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.9 $\pm$ 0.9 \\ |
| 955 |
< |
vvv & 0.9 $\pm$ 0.0 & 1.2 $\pm$ 0.1 & 0.1 $\pm$ 0.0 & 2.2 $\pm$ 0.1 \\ |
| 956 |
< |
single top & 0.0 $\pm$ 0.0 & 0.2 $\pm$ 0.2 & 0.0 $\pm$ 0.0 & 0.2 $\pm$ 0.2 \\ |
| 693 |
> |
%SCALING ZJETS BY 111/946 |
| 694 |
> |
\ttbar & 1.6 $\pm$ 0.9 & 3.4 $\pm$ 1.5 & 1.8 $\pm$ 1.1 & 6.9 $\pm$ 2.0 \\ |
| 695 |
> |
\zjets & 1.9 $\pm$ 1.9 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 1.9 $\pm$ 1.9 \\ |
| 696 |
> |
WZ & 40.0 $\pm$ 0.7 & 51.5 $\pm$ 0.7 & 2.7 $\pm$ 0.2 & 94.3 $\pm$ 1.0 \\ |
| 697 |
> |
ZZ & 1.0 $\pm$ 0.0 & 1.4 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 2.6 $\pm$ 0.0 \\ |
| 698 |
> |
single top & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 & 0.0 $\pm$ 0.0 & 0.5 $\pm$ 0.5 \\ |
| 699 |
|
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 700 |
+ |
ttV & 8.0 $\pm$ 0.4 & 9.5 $\pm$ 0.4 & 2.2 $\pm$ 0.2 & 19.6 $\pm$ 0.6 \\ |
| 701 |
+ |
VVV & 1.9 $\pm$ 0.1 & 2.6 $\pm$ 0.1 & 0.2 $\pm$ 0.0 & 4.6 $\pm$ 0.2 \\ |
| 702 |
|
\hline |
| 703 |
< |
tot SM MC & 25.9 $\pm$ 1.1 & 32.9 $\pm$ 0.8 & 3.3 $\pm$ 0.5 & 62.1 $\pm$ 1.5 \\ |
| 703 |
> |
tot SM MC & 54.4 $\pm$ 2.2 & 69.0 $\pm$ 1.8 & 6.9 $\pm$ 1.1 &130.4 $\pm$ 3.1 \\ |
| 704 |
|
\hline |
| 705 |
< |
data & 47 & 51 & 8 & 106 \\ |
| 705 |
> |
data & 87 & 91 & 22 & 200 \\ |
| 706 |
|
\hline |
| 707 |
|
\hline |
| 708 |
|
|
| 712 |
|
|
| 713 |
|
\begin{figure}[tbh] |
| 714 |
|
\begin{center} |
| 715 |
< |
\includegraphics[width=1\linewidth]{plots/WZ_eemm_92fb.pdf} |
| 715 |
> |
\includegraphics[width=1\linewidth]{plots/WZ_19fb.pdf} |
| 716 |
|
\caption{\label{fig:wz}\protect |
| 717 |
|
Data vs. MC comparisons for the WZ selection discussed in the text for \lumi. |
| 718 |
|
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed. |
| 975 |
– |
%Loading babies at : ../output/V00-01-04 |
| 976 |
– |
%Using selection : ((((((isdata==0 || (run<197556 || run>198913))&&(((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0))))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101) |
| 977 |
– |
%Using weight : weight * 9.2 * trgeff * vtxweight |
| 719 |
|
} |
| 720 |
+ |
\begin{comment} |
| 721 |
+ |
Loading babies at : ../output/V00-02-00 |
| 722 |
+ |
Using selection : (((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==3 && lep3.pt()>20.0))&&(pfmet>50))&&(dilmass>81 && dilmass<101) |
| 723 |
+ |
Using weight : weight * 19.3 * trgeff * vtxweight |
| 724 |
+ |
Plotting var njets flavor sf |
| 725 |
+ |
compareDataMC : apply trigeff 1 |
| 726 |
+ |
MC yield VVV 7.73 |
| 727 |
+ |
MC yield ttV 18.95 |
| 728 |
+ |
MC yield single top 0.51 |
| 729 |
+ |
MC yield WW 0.09 |
| 730 |
+ |
MC yield ZZ 12.38 |
| 731 |
+ |
MC yield WZ 562.71 |
| 732 |
+ |
MC yield ttbar 9.18 |
| 733 |
+ |
SCALING ZJETS BY 111/946 |
| 734 |
+ |
MC yield zjets 8.85 |
| 735 |
+ |
MC total yield 620.39 |
| 736 |
+ |
data yield 703 |
| 737 |
+ |
Plotting var pfmet flavor sf |
| 738 |
+ |
compareDataMC : apply trigeff 1 |
| 739 |
+ |
MC yield VVV 7.73 |
| 740 |
+ |
MC yield ttV 18.95 |
| 741 |
+ |
MC yield single top 0.51 |
| 742 |
+ |
MC yield WW 0.09 |
| 743 |
+ |
MC yield ZZ 12.38 |
| 744 |
+ |
MC yield WZ 562.72 |
| 745 |
+ |
MC yield ttbar 9.18 |
| 746 |
+ |
SCALING ZJETS BY 111/946 |
| 747 |
+ |
MC yield zjets 8.85 |
| 748 |
+ |
MC total yield 620.40 |
| 749 |
+ |
data yield 703 |
| 750 |
+ |
Plotting var dileppt flavor sf |
| 751 |
+ |
compareDataMC : apply trigeff 1 |
| 752 |
+ |
MC yield VVV 7.73 |
| 753 |
+ |
MC yield ttV 18.95 |
| 754 |
+ |
MC yield single top 0.51 |
| 755 |
+ |
MC yield WW 0.09 |
| 756 |
+ |
MC yield ZZ 12.38 |
| 757 |
+ |
MC yield WZ 562.71 |
| 758 |
+ |
MC yield ttbar 9.18 |
| 759 |
+ |
SCALING ZJETS BY 111/946 |
| 760 |
+ |
MC yield zjets 8.85 |
| 761 |
+ |
MC total yield 620.38 |
| 762 |
+ |
data yield 703 |
| 763 |
+ |
\end{comment} |
| 764 |
+ |
|
| 765 |
|
\end{center} |
| 766 |
|
\end{figure} |
| 767 |
|
|
| 779 |
|
|
| 780 |
|
The data and MC yields passing the above selection are in Table~\ref{tab:zz}. |
| 781 |
|
In this ZZ-dominated sample we observe good agreement between the data yield and the MC prediction. |
| 782 |
< |
After requiring 2 jets (corresponding to the requirement in the analysis selection), we observe 4 events |
| 783 |
< |
in data and the MC predicts $6.6\pm0.1$ events. Due to the limited statistical precision we assign an uncertainty |
| 784 |
< |
fo 50\% on the ZZ yield. |
| 782 |
> |
After requiring 2 jets (corresponding to the requirement in the analysis selection), we observe 14 events |
| 783 |
> |
in data and the MC predicts $13.2\pm0.2$ events. Due to the limited statistical precision we assign an uncertainty |
| 784 |
> |
of 50\% on the ZZ yield. |
| 785 |
|
|
| 786 |
|
\begin{table}[htb] |
| 787 |
|
\begin{center} |
| 788 |
|
\caption{\label{tab:zz} Data and Monte Carlo yields for the ZZ preselection. } |
| 789 |
|
\begin{tabular}{lccccc} |
| 790 |
+ |
|
| 791 |
+ |
%Loading babies at : ../output/V00-02-00 |
| 792 |
+ |
%Using selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==4 && lep3.pt()>20.0 && lep4.pt()>20.0))&&(dilmass>81 && dilmass<101) |
| 793 |
+ |
%Using weight : weight * 19.3 * trgeff * vtxweight |
| 794 |
+ |
|
| 795 |
|
\hline |
| 796 |
|
\hline |
| 797 |
|
Sample & ee & $\mu\mu$ & e$\mu$ & total \\ |
| 798 |
|
\hline |
| 1008 |
– |
|
| 1009 |
– |
%Loading babies at : ../output/V00-01-04 |
| 1010 |
– |
%Using selection : (((((isdata==0 || (run<197556 || run>198913))&&(((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0))))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==4 && lep3.pt()>20.0 && lep4.pt()>20.0))&&(dilmass>81 && dilmass<101) |
| 1011 |
– |
%Using weight : weight * 9.2 * trgeff * vtxweight |
| 1012 |
– |
%SCALING ZJETS BY 111/946 |
| 799 |
|
%SCALING ZZ BY 1.92 |
| 800 |
< |
|
| 801 |
< |
ZZ & 25.1 $\pm$ 0.1 & 34.9 $\pm$ 0.1 & 1.6 $\pm$ 0.0 & 61.7 $\pm$ 0.1 \\ |
| 802 |
< |
ttV & 0.6 $\pm$ 0.1 & 0.6 $\pm$ 0.1 & 0.2 $\pm$ 0.0 & 1.4 $\pm$ 0.1 \\ |
| 1017 |
< |
VVV & 0.3 $\pm$ 0.0 & 0.4 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.7 $\pm$ 0.0 \\ |
| 1018 |
< |
WZ & 0.1 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.1 $\pm$ 0.0 \\ |
| 800 |
> |
ZZ & 52.7 $\pm$ 0.2 & 73.3 $\pm$ 0.2 & 3.4 $\pm$ 0.0 &129.4 $\pm$ 0.3 \\ |
| 801 |
> |
WZ & 0.1 $\pm$ 0.0 & 0.1 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.3 $\pm$ 0.1 \\ |
| 802 |
> |
%SCALING ZJETS BY 111/946 |
| 803 |
|
\zjets & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 804 |
|
\ttbar & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 1021 |
– |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 805 |
|
WW & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 806 |
+ |
single top & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 \\ |
| 807 |
+ |
ttV & 1.3 $\pm$ 0.2 & 1.4 $\pm$ 0.2 & 0.3 $\pm$ 0.1 & 3.0 $\pm$ 0.2 \\ |
| 808 |
+ |
VVV & 0.6 $\pm$ 0.1 & 0.8 $\pm$ 0.1 & 0.0 $\pm$ 0.0 & 1.4 $\pm$ 0.1 \\ |
| 809 |
|
\hline |
| 810 |
< |
tot SM MC & 26.1 $\pm$ 0.1 & 36.1 $\pm$ 0.1 & 1.8 $\pm$ 0.0 & 63.9 $\pm$ 0.2 \\ |
| 810 |
> |
tot SM MC & 54.7 $\pm$ 0.3 & 75.6 $\pm$ 0.3 & 3.8 $\pm$ 0.1 &134.1 $\pm$ 0.4 \\ |
| 811 |
|
\hline |
| 812 |
< |
data & 24 & 36 & 0 & 60 \\ |
| 812 |
> |
data & 56 & 80 & 5 & 141 \\ |
| 813 |
|
\hline |
| 814 |
|
\hline |
| 815 |
+ |
|
| 816 |
|
\end{tabular} |
| 817 |
|
\end{center} |
| 818 |
|
\end{table} |
| 819 |
|
|
| 820 |
|
\begin{figure}[tbh] |
| 821 |
|
\begin{center} |
| 822 |
< |
\includegraphics[width=1\linewidth]{plots/ZZ_eemm_92fb.pdf} |
| 822 |
> |
\includegraphics[width=1\linewidth]{plots/ZZ_19fb.pdf} |
| 823 |
|
\caption{\label{fig:zz}\protect |
| 824 |
|
Data vs. MC comparisons for the ZZ selection discussed in the text for \lumi. |
| 825 |
|
The number of jets, missing transverse energy, and Z boson transverse momentum are displayed. |
| 827 |
|
\end{center} |
| 828 |
|
\end{figure} |
| 829 |
|
|
| 830 |
+ |
\begin{comment} |
| 831 |
+ |
Loading babies at : ../output/V00-02-00 |
| 832 |
+ |
Using selection : ((((((leptype==0 && (ee==1 || isdata==0))||(leptype==1 && (mm==1 || isdata==0)))||(leptype==2 && (em==1||me==1||isdata==0)))&&(csc==0 && hbhe==1 && hcallaser==1 && ecaltp==1 && trkfail==1 && eebadsc==1 && hbhenew==1))&&(lep1.pt()>20.0 && lep2.pt()>20.0))&&(nlep==4 && lep3.pt()>20.0 && lep4.pt()>20.0))&&(dilmass>81 && dilmass<101) |
| 833 |
+ |
Using weight : weight * 19.3 * trgeff * vtxweight |
| 834 |
+ |
Plotting var njets flavor sf |
| 835 |
+ |
compareDataMC : apply trigeff 1 |
| 836 |
+ |
|
| 837 |
+ |
MC yield VVV 1.40 |
| 838 |
+ |
MC yield ttV 2.64 |
| 839 |
+ |
MC yield single top 0.00 |
| 840 |
+ |
MC yield WW 0.00 |
| 841 |
+ |
MC yield ttbar 0.00 |
| 842 |
+ |
SCALING ZJETS BY 111/946 |
| 843 |
+ |
MC yield zjets 0.00 |
| 844 |
+ |
MC yield WZ 0.27 |
| 845 |
+ |
SCALING ZJETS BY 1.92 |
| 846 |
+ |
MC yield ZZ 125.99 |
| 847 |
+ |
MC total yield 130.31 |
| 848 |
+ |
data yield 136 |
| 849 |
+ |
Plotting var pfmet flavor sf |
| 850 |
+ |
compareDataMC : apply trigeff 1 |
| 851 |
+ |
MC yield VVV 1.40 |
| 852 |
+ |
MC yield ttV 2.64 |
| 853 |
+ |
MC yield single top 0.00 |
| 854 |
+ |
MC yield WW 0.00 |
| 855 |
+ |
MC yield ttbar 0.00 |
| 856 |
+ |
SCALING ZJETS BY 111/946 |
| 857 |
+ |
MC yield zjets 0.00 |
| 858 |
+ |
MC yield WZ 0.27 |
| 859 |
+ |
SCALING ZJETS BY 1.92 |
| 860 |
+ |
MC yield ZZ 126.00 |
| 861 |
+ |
MC total yield 130.32 |
| 862 |
+ |
data yield 136 |
| 863 |
+ |
Plotting var dileppt flavor sf |
| 864 |
+ |
compareDataMC : apply trigeff 1 |
| 865 |
+ |
MC yield VVV 1.40 |
| 866 |
+ |
MC yield ttV 2.64 |
| 867 |
+ |
MC yield single top 0.00 |
| 868 |
+ |
MC yield WW 0.00 |
| 869 |
+ |
MC yield ttbar 0.00 |
| 870 |
+ |
SCALING ZJETS BY 111/946 |
| 871 |
+ |
MC yield zjets 0.00 |
| 872 |
+ |
MC yield WZ 0.27 |
| 873 |
+ |
SCALING ZJETS BY 1.92 |
| 874 |
+ |
MC yield ZZ 126.00 |
| 875 |
+ |
MC total yield 130.33 |
| 876 |
+ |
data yield 136 |
| 877 |
+ |
\end{comment} |
| 878 |
|
|
| 879 |
|
|
| 880 |
|
|
