| 79 |
|
\Delta = R_{\mu e}N(ee) + \frac{1}{R_{\mu e}}N(\mu\mu) - N(e\mu). |
| 80 |
|
\end{equation} |
| 81 |
|
|
| 82 |
< |
Here $R_{\mu e} = 1.13 \pm 0.05$ is the ratio of muon to electron selection efficiencies, |
| 83 |
< |
evaluated by taking the square root of the ratio of the number of |
| 84 |
< |
$Z \to \mu^+\mu^-$ to $Z \to e^+e^-$ events in data, in the mass range 76-106 GeV with no jets or |
| 85 |
< |
\met\ requirements. The quantity $\Delta$ is predicted to be 0 for processes with |
| 82 |
> |
This quantity is predicted to be 0 for processes with |
| 83 |
|
uncorrelated lepton flavors. In order for this technique to work, the kinematic selection |
| 84 |
|
applied to events in all dilepton flavor channels must be the same, which is not the case |
| 85 |
|
for our default selection because the $Z$ mass veto is applied only to same-flavor channels. |
| 93 |
|
do not know what signal may be present in the data. Having three |
| 94 |
|
independent methods (in addition to expectations from MC) |
| 95 |
|
adds redundancy because signal contamination can have different effects |
| 96 |
< |
in the different control regions for the two methods. |
| 96 |
> |
in the different control regions for the three methods. |
| 97 |
|
For example, in the extreme case of a |
| 98 |
|
BSM signal with identical distributions of $\pt(\ell \ell)$ and \MET, an excess of events might be seen |
| 99 |
|
in the ABCD' method but not in the $\pt(\ell \ell)$ method. |
