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dilepton sample. The choice of signal region is driven by |
7 |
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three observations: |
8 |
|
\begin{enumerate} |
9 |
< |
\item astrophisical evidence for dark matter suggests that |
9 |
> |
\item astrophysical evidence for dark matter suggests that |
10 |
|
we concentrate on the region of high \met; |
11 |
|
\item new physics signals should have high $\sqrt{\hat{s}}$; |
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\item observable high cross section new physics signals |
17 |
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Following these observations, we add the following two requirements |
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to the preselection of Section~\ref{sec:eventSel}: |
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\begin{center} |
20 |
< |
SumJetPt$>$300 GeV and $\met/\sqrt{\rm SumJetPt} > 8.5$. |
20 |
> |
$\mathrm{SumJetPt}>300$~GeV and $\met/\sqrt{\rm SumJetPt} > 8.5$~GeV$^{1/2}$. |
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\end{center} |
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|
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\noindent This selection preserves about 1\% of the $t\bar{t}$ |
24 |
< |
signal. We cut on \met$/\sqrt{\rm SumJetPt}$ rather than \met |
25 |
< |
because the variables \met and \met$/\sqrt{\rm SumJetPt}$ are |
24 |
> |
signal, giving an expected total SM yield of 1.4 events in 35 pb$^{-1}$ |
25 |
> |
The expectations from the LMO and LM1 SUSY benchmark points are 6.5 and |
26 |
> |
2.6 events respectively. |
27 |
> |
|
28 |
> |
|
29 |
> |
We cut on \met$/\sqrt{\rm SumJetPt}$ rather than \met |
30 |
> |
because the variables SumJetPt and \met$/\sqrt{\rm SumJetPt}$ are |
31 |
|
largely uncorrelated for the dominant $t\bar{t}$ background. |
32 |
|
This allows us to use a data driven ABCD method to estimate the |
33 |
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background (see Section~\ref{sec:abcd}). |