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and with the observation of one event in the signal region. |
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We calculate a Bayesian 95\% CL upper limit\cite{ref:bayes.f} |
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on the number of non SM events in the signal region to be X. |
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< |
This was calculated using a background prediction of $N_{BG}=X \pm Y$ |
27 |
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{\bf \color{red} WHAT TO TAKE FOR $N_{BG}$???.} |
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> |
This was calculated using a background prediction of $N_{BG}=1.7 \pm 1.1$ |
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events. The upper limit is not very sensitive to the choice of |
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$N_{BG}$ and its uncertainty. |
29 |
|
|
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To get a feeling for the sensitivity of this search to some |
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popular SUSY models, we remind the reader of the number of expected |
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LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.3 \pm 1.3$ |
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events and $2.6 \pm 0.4$ ({\bf \color{red} Update uncertainties}) |
33 |
> |
events and $2.6 \pm 0.4$ |
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respectively, where the uncertainties |
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are from energy scale (Section~\ref{sec:systematics}), luminosity, |
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and lepton efficiency. Note that these expected SUSY yields |
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in this note is a difficult issue. The next paragraph represent |
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our attempt at doing so. |
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|
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– |
{\bf \color{red} Some of these results may need to be updated with 38X systematic studies} |
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Other models of new physics in the dilepton final state |
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can be confronted in an approximate way by simple |
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generator-level studies that |
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with our upper limit of 4.1 events. The key ingredients |
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of such studies are the kinematical cuts described |
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in this note, the lepton efficiencies, and the detector |
51 |
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responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$. |
51 |
> |
responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$~\footnote{Please note |
52 |
> |
that the following quantities have been evaluated with Spring10 MC samples.}. |
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The muon identification efficiency is $\approx 95\%$; |
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|
the electron identification efficiency varies from $\approx$ 63\% at |
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$P_T = 10$ GeV to 91\% for $P_T > 30$ GeV. The isolation |