| 14 |
|
|
| 15 |
|
The data, together with SM expectations is presented |
| 16 |
|
in Figure~\ref{fig:abcdData}. We see 1 event in the |
| 17 |
< |
signal region (region $D$). The Standard Model MC |
| 18 |
< |
expectation is 1.4 events. |
| 17 |
> |
signal region (region $D$). For more information about |
| 18 |
> |
this one candidate events, see Appendix~\ref{sec:cand}. |
| 19 |
> |
The Standard Model MC expectation is 1.4 events. |
| 20 |
|
|
| 21 |
|
\subsection{Background estimate from the ABCD method} |
| 22 |
|
\label{sec:abcdres} |
| 24 |
|
The data yields in the |
| 25 |
|
four regions are summarized in Table~\ref{tab:datayield}. |
| 26 |
|
The prediction of the ABCD method is is given by $A\times C/B$ and |
| 27 |
< |
is 1.5 $\pm$ 0.9 events (statistical uncertainty only, assuming |
| 27 |
< |
Gaussian errors), as shown in Table~\ref{tab:datayield}. |
| 27 |
> |
is $1.5 \pm 0.9(stat) \pm 0.2(syst)$ events, as shown in Table~\ref{tab:datayield}. |
| 28 |
|
|
| 29 |
|
\begin{table}[hbt] |
| 30 |
|
\begin{center} |
| 49 |
|
\hline |
| 50 |
|
total SM MC & 8.63 & 36.85 & 5.07 & 1.43 & 1.19 \\ |
| 51 |
|
\hline |
| 52 |
< |
data & 11 & 36 & 5 & 1 & $1.53\pm0.86$ \\ |
| 52 |
> |
data & 11 & 36 & 5 & 1 & $1.53 \pm 0.86$ \\ |
| 53 |
|
\hline |
| 54 |
|
\end{tabular} |
| 55 |
|
\end{center} |
| 68 |
|
|
| 69 |
|
We first use the $P_T(\ell \ell)$ method to predict the number of events |
| 70 |
|
in control region A, defined in Sec.~\ref{sec:abcd} as |
| 71 |
< |
$125<{\rm SumJetPt}>300$~GeV and $\met/\sqrt{\rm SumJetPt}>$8.5. |
| 71 |
> |
$125<{\rm SumJetPt}>300$~GeV and $\met/\sqrt{\rm SumJetPt}>$8.5~GeV$^{1/2}$. |
| 72 |
|
We count the number of events in region |
| 73 |
|
$A'$, defined in Sec.~\ref{sec:othBG} by replacing the above $\met/\sqrt{\rm SumJetPt}$ |
| 74 |
|
cut with the same cut on the quantity $P_T(\ell\ell)/\sqrt{\rm SumJetPt}$, |
| 117 |
|
\begin{table}[hbt] |
| 118 |
|
\begin{center} |
| 119 |
|
\caption{\label{tab:victory_control}Results of the dilepton $p_{T}$ template method in the control region |
| 120 |
< |
$125 < \mathrm{sumJetPt} < 300$~GeV. The predicted and observed yields for |
| 120 |
> |
$125 < \mathrm{sumJetPt} < 300$~GeV$^{1/2}$. The predicted and observed yields for |
| 121 |
|
the region $\mathrm{tcmet}/\sqrt{\mathrm{sumJetPt}}>$~8.5 are shown for data |
| 122 |
|
and MC. The error on the prediction for data is statistical only, assuming |
| 123 |
|
Gaussian errors.} |
| 126 |
|
& Predicted & Observed & Obs/Pred \\ |
| 127 |
|
\hline |
| 128 |
|
total SM MC & 7.18 & 8.63 & 1.20 \\ |
| 129 |
< |
data & $6.06 \pm 5.95$ & 11 & 1.06 \\ |
| 129 |
> |
data & $6.06 \pm 5.95$ & 11 & 1.82 \\ |
| 130 |
|
\hline |
| 131 |
|
\end{tabular} |
| 132 |
|
\end{center} |
| 135 |
|
\begin{table}[hbt] |
| 136 |
|
\begin{center} |
| 137 |
|
\caption{\label{tab:victory_signal}Results of the dilepton $p_{T}$ template method in the signal region |
| 138 |
< |
$\mathrm{sumJetPt} > 300$~GeV. The predicted and observed yields for |
| 138 |
> |
$\mathrm{sumJetPt} > 300$~GeV$^{1/2}$. The predicted and observed yields for |
| 139 |
|
the region $\mathrm{tcmet}/\sqrt{\mathrm{sumJetPt}}>$~8.5 are shown for data |
| 140 |
|
and MC. The error on the prediction for data is statistical only, assuming |
| 141 |
|
Gaussian errors.} |
| 151 |
|
\end{table} |
| 152 |
|
|
| 153 |
|
|
| 154 |
+ |
\clearpage |
| 155 |
|
\subsection{Summary of results} |
| 156 |
< |
To summarize: we see no evidence for an anomalous |
| 156 |
> |
|
| 157 |
> |
In summary, in the signal region defined as $\mathrm{SumJetPt}>300$~GeV and $\met/\sqrt{\rm SumJetPt} > 8.5$~GeV$^{1/2}$:\\ |
| 158 |
> |
We observe 1 event. \\ |
| 159 |
> |
We expect 1.4 events from Standard Model MC prediction. \\ |
| 160 |
> |
The ABCD data driven method predicts $1.5 \pm 0.9(stat) \pm 0.2(syst)$ events. \\ |
| 161 |
> |
The $P_T(\ell\ell)$ method predicts $2.5 \pm 2.2$ events. |
| 162 |
> |
|
| 163 |
> |
All three background estimates are consistent within their uncertainties. |
| 164 |
> |
We thus take as our best estimate of the Standard Model yield in |
| 165 |
> |
the signal region the MC prediction and assign as an uncertainty the |
| 166 |
> |
maximal deviation with either of the data-driven methods, $N_{BG}=1.4 \pm 1.1$. |
| 167 |
> |
|
| 168 |
> |
We conclude that we see no evidence for an anomalous |
| 169 |
|
rate of opposite sign isolated dilepton events |
| 170 |
|
at high \met and high SumJetPt. The extraction of |
| 171 |
|
quantitative limits on new physics models is discussed |
