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# Content
1 \section{Limit on new physics}
2 \label{sec:limit}
3
4 {\bf \color{red} The numbers in this Section need to be double checked.}
5
6 As discussed in Section~\ref{sec:results}, we see one event
7 in the signal region, defined as SumJetPt$>$300 GeV and
8 \met/$\sqrt{\rm SumJetPt}>8.5$ GeV$^{\frac{1}{2}}$.
9
10 The background prediction from the SM Monte Carlo is
11 1.4 $\pm$ 0.5 events, where the uncertainty comes from
12 the jet energy scale (30\%, see Section~\ref{sec:systematics}),
13 the luminosity (10\%), and the lepton/trigger
14 efficiency (10\%)\footnote{Other uncertainties associated with
15 the modeling of $t\bar{t}$ in MadGraph have not been evaluated.}.
16 The data driven background predictions from the ABCD method
17 and the $P_T(\ell\ell)$ method are 1.5 $\pm$ 0.9 and
18 $1.8^{+2.5}_{-1.8}$ events respectively.
19
20 These three predictions are in good agreement with each other
21 and with the observation of one event in the signal region.
22 We calculate a Bayesian 95\% CL upper limit\cite{ref:bayes.f}
23 on the number of non SM events in the signal region to be 4.1.
24 This was calculated using a background prediction of $N_{BG}=1.4 \pm 1.0$
25 events. The upper limit is not very sensitive to the choice of
26 $N_{BG}$ and its uncertainty.
27
28 To get a feeling for the sensitivity of this search to some
29 popular SUSY models, we remind the reader of the number of expected
30 LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.5 \pm 1.3$
31 events and $2.6 \pm 0.4$ respectively, where the uncertainties
32 are from energy scale (Section~\ref{sec:systematics}), luminosity,
33 and lepton efficiency.
34
35 In Figures XX and YY we provide the response functions for the
36 SumJetPt and \met/$\sqrt{\rm SumJetPt}$ cuts used in our analysis,
37 {\em i.e.} the efficiencies of the experimental cuts as a function of
38 the true quantities. Using this information as well as the kinematical
39 cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
40 of Figures~\ref{fig:effttbar}, one should be able to confront
41 any existing or future model via a relatively simple generator
42 level study by comparing the expected number of events in 35 pb$^{-1}$
43 with our upper limit of 4.1 events.