| 171 |
|
fakeable object. |
| 172 |
|
|
| 173 |
|
We first apply this method to events passing the preselection. |
| 174 |
< |
The raw result is $6.7 \pm xx \pm 3.4$, where the first uncertainty is |
| 174 |
> |
The raw result is $6.7 \pm 1.7 \pm 3.4$, where the first uncertainty is |
| 175 |
|
statistical and the second uncertainty is from the 50\% systematic |
| 176 |
|
uncertainty associated with this method\cite{ref:FR}. This has |
| 177 |
|
to be corrected for ``signal contamination'', {\em i.e.}, the |
| 178 |
|
contribution from true dilepton events with one lepton |
| 179 |
|
failing the selection. This is estimated from Monte Carlo |
| 180 |
< |
to be $2.3 \pm xx$, where the uncertainty is from MC statistics |
| 180 |
> |
to be $2.3 \pm 0.05$, where the uncertainty is from MC statistics |
| 181 |
|
only. Thus, the estimates number of events with one ``fake'' |
| 182 |
< |
lepton after the preselection is $4.4 \pm xx$. |
| 182 |
> |
lepton after the preselection is $4.4 \pm 1.7$. |
| 183 |
|
The Monte Carlo expectation for this contribution can be obtained |
| 184 |
|
by summing up the $t\bar{t}\rightarrow \mathrm{other}$ and |
| 185 |
|
$W^{\pm}$ + jets entries from Table~\ref{tab:yields}. This |
| 199 |
|
In this case we select events with both |
| 200 |
|
leptons failing the full selection but passing the |
| 201 |
|
``Fakeable Object'' selection. For the preselection, the |
| 202 |
< |
result is $0.2 \pm xx \pm 0.2$, where the first uncertainty |
| 202 |
> |
result is $0.2 \pm 0.2 \pm 0.2$, where the first uncertainty |
| 203 |
|
is statistical and the second uncertainty is from the fake rate |
| 204 |
|
systematics (50\% per lepton, 100\% total). Note that this |
| 205 |
< |
double fake contribution is already included in the $4.4 \pm xx$ |
| 205 |
> |
double fake contribution is already included in the $4.4 \pm 1.7$ |
| 206 |
|
single fake estimate discussed above $-$ in fact, it is double counted. |
| 207 |
< |
Therefore the total fake estimate is $4.0 \pm xx$ (single fakes) |
| 208 |
< |
and $0.2 \pm xx \pm 0.2$ (double fakes). |
| 207 |
> |
Therefore the total fake estimate is $4.0 \pm 1.7$ (single fakes) |
| 208 |
> |
and $0.2 \pm 0.2 \pm 0.2$ (double fakes). |
| 209 |
|
|
| 210 |
|
In the signal region (region D), the estimated double fake background |
| 211 |
|
is $0.00^{+0.04}_{-0.00}$. This is negligible. |
