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\section{Results} |
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\label{sec:results} |
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The data yields in the |
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four regions are summarized in Table~\ref{tab:datayield}. |
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The prediction of the ABCD method is is given by $A\times C/B$ and |
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is $1.5 \pm 0.9(stat) \pm 0.2(syst)$ events, as shown in Table~\ref{tab:datayield}. |
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The prediction of the ABCD method is is given by $k_{ABCD} \times (A\times C/B)$ and |
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is $1.8 \pm 1.0(stat) \pm 0.4(syst)$ events, where $k_{ABCD} = 1.2 \pm 0.2$ as discussed |
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in Sec.~\ref{sec:abcd}. |
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\begin{table}[hbt] |
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\begin{center} |
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%estimate of the $t\bar{t}$ contribution. The result |
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%of this exercise is {\color{red} xx} events. |
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\subsection{Background estimate from the $P_T(\ell\ell)$ method} |
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\label{sec:victoryres} |
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\end{table} |
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\subsection{Summary of results} |
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To summarize: we see no evidence for an anomalous |
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In summary, in the signal region defined as $\mathrm{SumJetPt}>300$~GeV and $\met/\sqrt{\rm SumJetPt} > 8.5$~GeV$^{1/2}$:\\ |
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We observe 1 event. \\ |
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We expect 1.4 events from Standard Model MC prediction. \\ |
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The ABCD data driven method predicts $1.8 \pm 1.0(stat) \pm 0.4(syst)$ events. \\ |
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The $P_T(\ell\ell)$ method predicts $2.5 \pm 2.2$ events. |
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All three background estimates are consistent within their uncertainties. |
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We thus take as our best estimate of the Standard Model yield in |
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the signal region the MC prediction and assign as an uncertainty the |
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maximal deviation with either of the data-driven methods, $N_{BG}=1.4 \pm 1.1$. |
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We conclude that we see no evidence for an anomalous |
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rate of opposite sign isolated dilepton events |
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at high \met and high SumJetPt. The extraction of |
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quantitative limits on new physics models is discussed |
