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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.}
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 uncertainty on $pp \to \sigma(t\bar{t})$ is also not included.}.
11 > 1.3 events.
12 > %, where the uncertainty comes from
13 > %the jet energy scale (30\%, see Section~\ref{sec:systematics}),
14 > %the luminosity (10\%), and the lepton/trigger
15 > %efficiency (10\%)\footnote{Other uncertainties associated with
16 > %the modeling of $t\bar{t}$ in MadGraph have not been evaluated.
17 > %The uncertainty on $pp \to \sigma(t\bar{t})$ is also not included.}.
18   The data driven background predictions from the ABCD method
19 < and the $P_T(\ell\ell)$ method are 1.5 $\pm$ 0.9 and
20 < $2.5 \pm 2.2$  events, respectively.
19 > and the $P_T(\ell\ell)$ method are $1.5 \pm 0.9({\rm stat}) \pm 0.3({\rm syst})$
20 > and $4.3 \pm 3.0({\rm stat}) \pm 1.2({\rm syst})$, respectively.
21  
22   These three predictions are in good agreement with each other
23   and with the observation of one event in the signal region.
24   We calculate a Bayesian 95\% CL upper limit\cite{ref:bayes.f}
25   on the number of non SM events in the signal region to be 4.1.
26 < This was calculated using a background prediction of $N_{BG}=1.4 \pm 1.1$
26 > This was calculated using a background prediction of $N_{BG}=1.7 \pm 1.1$
27   events.  The upper limit is not very sensitive to the choice of
28   $N_{BG}$ and its uncertainty.
29  
30   To get a feeling for the sensitivity of this search to some
31   popular SUSY models, we remind the reader of the number of expected
32 < LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.5 \pm 1.3$
33 < events and $2.6 \pm 0.4$ respectively, where the uncertainties
32 > LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.3 \pm 1.3$
33 > events and $2.6 \pm 0.4$
34 > respectively, where the uncertainties
35   are from energy scale (Section~\ref{sec:systematics}), luminosity,
36 < and lepton efficiency.
36 > and lepton efficiency.  Note that these expected SUSY yields
37 > are computed using LO cross-sections, and are therefore underestimated.
38  
39 < In Figure~\ref{fig:response} we provide the response functions for the
39 > Conveying additional useful information about the results of
40 > a generic ``signature-based'' search such as the one described
41 > in this note is a difficult issue.  The next paragraph represent
42 > our attempt at doing so.
43 >
44 > Other models of new physics in the dilepton final state
45 > can be confronted in an approximate way by simple
46 > generator-level studies that
47 > compare the expected number of events in 35 pb$^{-1}$
48 > with our upper limit of 4.1 events.  The key ingredients
49 > of such studies are the kinematical cuts described
50 > in this note, the lepton efficiencies, and the detector
51 > responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$~\footnote{Please note
52 > that the following quantities have been evaluated with Spring10 MC samples.}.
53 > The muon identification efficiency is $\approx 95\%$;
54 > the electron identification efficiency varies from $\approx$ 63\% at
55 > $P_T = 10$ GeV to 91\% for $P_T > 30$ GeV.  The isolation
56 > efficiency in top events varies from $\approx 83\%$ (muons)
57 > and $\approx 89\%$ (electrons) at $P_T=10$ GeV to
58 > $\approx 95\%$ for $P_T>60$ GeV.  The average detector
59 > responses for SumJetPt and $\met/\sqrt{\rm SumJetPt}$ are
60 > $1.00 \pm 0.05$ and $0.94 \pm 0.05$ respectively, where
61 > the uncertainties are from the jet energy scale uncertainty.
62 > The experimental resolutions on these quantities are 10\% and
63 > 14\% respectively.
64 >
65 > To justify the statements in the previous paragraph
66 > about the detector responses, we plot
67 > in Figure~\ref{fig:response} the average response for
68   SumJetPt and \met/$\sqrt{\rm SumJetPt}$ in MC, as well as the
69   efficiency for the cuts on these quantities used in defining the
70   signal region.
# Line 41 | Line 72 | signal region.
72   % Gev$^{\frac{1}{2}}$).  
73   We find that the average SumJetPt response
74   in the Monte Carlo
75 < is very close to one, with an RMS of order 10\%;
75 > is very close to one, with an RMS of order 10\% while
76   the
77   response of \met/$\sqrt{\rm SumJetPt}$ is approximately 0.94 with an
78   RMS of 14\%.
79  
80 < Using this information as well as the kinematical
81 < cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
82 < of Figures~\ref{fig:effttbar}, one should be able to confront
83 < any existing or future model via a relatively simple generator
84 < level study by comparing the expected number of events in 35 pb$^{-1}$
85 < with our upper limit of 4.1 events.
80 > %Using this information as well as the kinematical
81 > %cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
82 > %of Figures~\ref{fig:effttbar}, one should be able to confront
83 > %any existing or future model via a relatively simple generator
84 > %level study by comparing the expected number of events in 35 pb$^{-1}$
85 > %with our upper limit of 4.1 events.
86  
87   \begin{figure}[tbh]
88   \begin{center}

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