| 63 |
|
Section~\ref{sec:topbkg} introduces the top background estimate based on opposite flavor subtraction, |
| 64 |
|
and contributions from other backgrounds are discussed in Section~\ref{sec:othBG}. |
| 65 |
|
Section~\ref{sec:results} shows the results for applying these methods in data. |
| 66 |
< |
We analyze the systematic uncertainties in the background prediction in Section~\ref{sec:systematics} |
| 67 |
< |
and proceed to calculate an upper limit on the non-SM contributions to our signal regions |
| 66 |
> |
We analyze the systematic uncertainties in the background predictions and in signal acceptance |
| 67 |
> |
in Section~\ref{sec:systematics}. |
| 68 |
> |
We then proceed to calculate an upper limit on the non-SM contributions to our signal regions |
| 69 |
|
in Section~\ref{sec:upperlimit}. |
| 70 |
< |
Finally, in Section~\ref{sec:models} we calculate upper limits on the quantity |
| 71 |
< |
$\sigma \times BF \times A$, |
| 72 |
< |
assuming efficiencies and uncertainties from sample benchmark SUSY processes. |
| 70 |
> |
%Finally, in Section~\ref{sec:models} we calculate upper limits on the quantity |
| 71 |
> |
%$\sigma \times BF \times A$, |
| 72 |
> |
%assuming efficiencies and uncertainties from sample benchmark SUSY processes. |
| 73 |
|
|
