| 196 |
|
|
| 197 |
|
Based on the results of Table~\ref{tab:victorybad}, we conclude that the |
| 198 |
|
naive data driven background estimate based on $P_T{(\ell\ell)}$ needs to |
| 199 |
< |
be corrected by a factor of $ K = X \pm Y$. |
| 199 |
> |
be corrected by a factor of $ K_C = X \pm Y$. |
| 200 |
|
The value of this correction factor as well as the systematic uncertainty |
| 201 |
|
will be assessed using 38X ttbar madgraph MC. In the following we use |
| 202 |
< |
$K = 1$ for simplicity. Based on previous MC studies we foresee a correction |
| 203 |
< |
factor of $\approx 1.2 - 1.4$, and we will assess an uncertainty |
| 202 |
> |
$K_C = 1$ for simplicity. Based on previous MC studies we foresee a correction |
| 203 |
> |
factor of $K_C \approx 1.2 - 1.4$, and we will assess an uncertainty |
| 204 |
|
based on the stability of the Monte Carlo tests under |
| 205 |
|
variations of event selections, choices of \met algorithm, etc. |
| 206 |
|
For example, we find that observed/predicted changes by roughly 0.1 |
