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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
# Line 12 | Line 12 | The background prediction from the SM Mo
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.}.
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.}.
17   The data driven background predictions from the ABCD method
18 < and the $P_T(\ell\ell)$ method are 1.5 $\pm$ 0.9 and
19 < $1.8^{+2.5}_{-1.8}$ events respectively.
18 > and the $P_T(\ell\ell)$ method are $1.5 \pm 0.9({\rm stat}) \pm 0.3({\rm syst})$
19 > and $4.3 \pm 3.0({\rm stat}) \pm 1.2({\rm syst})$, respectively.
20  
21   These three predictions are in good agreement with each other
22   and with the observation of one event in the signal region.
23 < We calculate a baysean 95\% CL upper limit\cite{ref:bayes.f}
24 < on the number of non SM events in the signal region to be 4.1.
25 < This was calculated using a background prediction of $N_{BG}=1.4 \pm 1.0$
23 > We calculate a Bayesian 95\% CL upper limit\cite{ref:bayes.f}
24 > on the number of non SM events in the signal region to be X.
25 > This was calculated using a background prediction of $N_{BG}=X \pm Y$
26 > {\bf \color{red} WHAT TO TAKE FOR $N_{BG}$???.}
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:sigcontABCD}: $5.6 \pm 1.1$
33 < events and $2.2 \pm 0.3$ respectively, where the uncertainties
32 > LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.5 \pm 1.3$
33 > events and $2.6 \pm 0.4$ (\bf \color{red} Update with 38X MC!!)
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 Figures XX and YY we provide the response functions for the
40 < SumJetPt and \met/$\sqrt{\rm SumJetPt}$ cuts used in our analysis,
41 < {\em i.e.} the efficiencies of the experimental cuts as a function of
42 < the true quantities.  Using this information as well as the kinematical
43 < cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
44 < of Figures~\ref{fig:effttbar}, one should be able to confront
45 < any existing or future model via a relatively simple generator
46 < level study by comparing the expected number of events in 35 pb$^{-1}$
47 < with our upper limit of 4.1 events.
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/$\sqrt{\rm SumJetPt}$.
52 > The muon identification efficiency is $\approx 95\%$;
53 > the electron identification efficiency varies from $\approx$ 63\% at
54 > $P_T = 10$ GeV to 91\% for $P_T > 30$ GeV.  The isolation
55 > efficiency in top events varies from $\approx 83\%$ (muons)
56 > and $\approx 89\%$ (electrons) at $P_T=10$ GeV to
57 > $\approx 95\%$ for $P_T>60$ GeV.  The average detector
58 > responses for SumJetPt and $\met/\sqrt{\rm SumJetPt}$ are
59 > $1.00 \pm 0.05$ and $0.94 \pm 0.05$ respectively, where
60 > the uncertainties are from the jet energy scale uncertainty.
61 > The experimental resolutions on these quantities are 10\% and
62 > 14\% respectively.
63 >
64 > To justify the statements in the previous paragraph
65 > about the detector responses, we plot
66 > in Figure~\ref{fig:response} the average response for
67 > SumJetPt and \met/$\sqrt{\rm SumJetPt}$ in MC, as well as the
68 > efficiency for the cuts on these quantities used in defining the
69 > signal region.
70 > % (SumJetPt $>$ 300 GeV and \met/$\sqrt{\rm SumJetPt} > 8.5$
71 > % Gev$^{\frac{1}{2}}$).  
72 > We find that the average SumJetPt response
73 > in the Monte Carlo
74 > is very close to one, with an RMS of order 10\% while
75 > the
76 > response of \met/$\sqrt{\rm SumJetPt}$ is approximately 0.94 with an
77 > RMS of 14\%.
78 >
79 > %Using this information as well as the kinematical
80 > %cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
81 > %of Figures~\ref{fig:effttbar}, one should be able to confront
82 > %any existing or future model via a relatively simple generator
83 > %level study by comparing the expected number of events in 35 pb$^{-1}$
84 > %with our upper limit of 4.1 events.
85 >
86 > \begin{figure}[tbh]
87 > \begin{center}
88 > \includegraphics[width=\linewidth]{selectionEff.png}
89 > \caption{\label{fig:response} Left plots: the efficiencies
90 > as a function of the true quantities for the SumJetPt (top) and
91 > tcMET/$\sqrt{\rm SumJetPt}$ (bottom) requirements for the signal
92 > region as a function of their true values.  The value of the
93 > cuts is indicated by the vertical line.
94 > Right plots: The average response and its RMS for the SumJetPt
95 > (top) and tcMET/$\sqrt{\rm SumJetPt}$ (bottom) measurements.
96 > The response is defined as the ratio of the reconstructed quantity
97 > to the true quantity in MC.  These plots are done using the LM0
98 > Monte Carlo, but they are not expected to depend strongly on
99 > the underlying physics.}
100 > \end{center}
101 > \end{figure}

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