23 |
|
|
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 $1.5 \pm 0.9(stat) \pm 0.2(syst)$ events, as shown in Table~\ref{tab:datayield}. |
26 |
> |
The prediction of the ABCD method is is given by $k_{ABCD} \times (A\times C/B)$ and |
27 |
> |
is $1.8 \pm 1.0(stat) \pm 0.4(syst)$ events, where $k_{ABCD} = 1.2 \pm 0.2$ as discussed |
28 |
> |
in Sec.~\ref{sec:abcd}. |
29 |
|
|
30 |
|
\begin{table}[hbt] |
31 |
|
\begin{center} |
158 |
|
In summary, in the signal region defined as $\mathrm{SumJetPt}>300$~GeV and $\met/\sqrt{\rm SumJetPt} > 8.5$~GeV$^{1/2}$:\\ |
159 |
|
We observe 1 event. \\ |
160 |
|
We expect 1.4 events from Standard Model MC prediction. \\ |
161 |
< |
The ABCD data driven method predicts $1.5 \pm 0.9(stat) \pm 0.2(syst)$ events. \\ |
161 |
> |
The ABCD data driven method predicts $1.8 \pm 1.0(stat) \pm 0.4(syst)$ events. \\ |
162 |
|
The $P_T(\ell\ell)$ method predicts $2.5 \pm 2.2$ events. |
163 |
|
|
164 |
|
All three background estimates are consistent within their uncertainties. |