| 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} |
| 73 |
|
We count the number of events in region |
| 74 |
|
$A'$, defined in Sec.~\ref{sec:othBG} by replacing the above $\met/\sqrt{\rm SumJetPt}$ |
| 75 |
|
cut with the same cut on the quantity $P_T(\ell\ell)/\sqrt{\rm SumJetPt}$, |
| 76 |
< |
and find $N_{A'}=6$. To predict the yield in region A we take |
| 77 |
< |
$N_A = K \cdot K_C \cdot N_{A'} = 10.4 \pm 4.2$ |
| 76 |
> |
and find $N_{A'}=6$. We subtract off the expected DY contribution in this region |
| 77 |
> |
$N_{DY} = 2.5 \pm 2.4$, derived in Sec.~\ref{sec:othBG}. |
| 78 |
> |
To predict the yield in region A we take |
| 79 |
> |
$N_A = K \cdot K_C \cdot ( N_{A'} - N_{DY} ) = 6.1 \pm 6.0$ |
| 80 |
|
(statistical uncertainty only, assuming Gaussian errors), |
| 81 |
< |
where we have taken $K = 1.73$ and $K_C = 1$. This yield is in good |
| 82 |
< |
agreement with the observed yield of 11 events, as shown in |
| 81 |
> |
where we have taken $K = 1.73$ and $K_C = 1$. This yield is consistent |
| 82 |
> |
with the observed yield of 11 events, as shown in |
| 83 |
|
Table~\ref{tab:victory_control} and displayed in Fig.~\ref{fig:victory} (left). |
| 84 |
|
|
| 85 |
|
Encouraged by the good agreement between predicted and observed yields |
| 127 |
|
& Predicted & Observed & Obs/Pred \\ |
| 128 |
|
\hline |
| 129 |
|
total SM MC & 7.18 & 8.63 & 1.20 \\ |
| 130 |
< |
data & 10.38 $\pm$ 4.24 & 11 & 1.06 \\ |
| 130 |
> |
data & $6.06 \pm 5.95$ & 11 & 1.82 \\ |
| 131 |
|
\hline |
| 132 |
|
\end{tabular} |
| 133 |
|
\end{center} |
