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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.}.
10 > The background prediction from the SM Monte Carlo is 1.3 events.
11 > %, 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.}.
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 < $2.5 \pm 2.2$  events, respectively.
18 > and the $P_T(\ell\ell)$ method are $1.3 \pm 0.8({\rm stat}) \pm 0.3({\rm syst})$
19 > and $2.1 \pm 2.1({\rm stat}) \pm 0.6({\rm syst})$, 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 Bayesian 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 $N_{BG}=1.4 \pm 1.1$
26 < events.  The upper limit is not very sensitive to the choice of
25 > We have also calculated this limit using a profile likelihood method
26 > as implemented in the cl95cms software, and we also find 4.1.
27 > These limits were calculated using a background prediction of $N_{BG} = 1.4 \pm 0.8$
28 > events, the error-weighted average of the ABCD and $P_T(\ell\ell)$ background
29 > predictions.  The upper limit is not very sensitive to the choice of
30   $N_{BG}$ and its uncertainty.
31  
32   To get a feeling for the sensitivity of this search to some
33   popular SUSY models, we remind the reader of the number of expected
34 < LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.5 \pm 1.3$
35 < events and $2.6 \pm 0.4$ respectively, where the uncertainties
34 > LM0 and LM1 events from Table~\ref{tab:sigcont}: $8.6 \pm 1.6$
35 > events and $3.6 \pm 0.5$ events respectively, where the uncertainties
36   are from energy scale (Section~\ref{sec:systematics}), luminosity,
37   and lepton efficiency.
38  
39 < In Figure~\ref{fig:response} we provide the response functions for the
39 > We also performed a scan of the mSUGRA parameter space. We set $\tan\beta=10$,
40 > sign of $\mu = +$, $A_{0}=0$~GeV, and scan the $m_{0}$ and $m_{1/2}$ parameters
41 > in steps of 10~GeV. For each scan point, we exclude the point if the expected
42 > yield in the signal region exceeds 4.7, which is the 95\% CL upper limit
43 > based on an expected background of $N_{BG}=1.4 \pm 0.8$ and a 20\% acceptance
44 > uncertainty. The results are shown in Fig.~\ref{fig:msugra}.
45 >
46 > \begin{figure}[tbh]
47 > \begin{center}
48 > \includegraphics[width=0.6\linewidth]{msugra.png}
49 > \caption{\label{fig:msugra}\protect Exclusion curve in the mSUGRA parameter space,
50 > assuming $\tan\beta=10$, sign of $\mu = +$ and $A_{0}=0$~GeVs.}
51 > \end{center}
52 > \end{figure}
53 >
54 >
55 > Conveying additional useful information about the results of
56 > a generic ``signature-based'' search such as the one described
57 > in this note is a difficult issue.  The next paragraph represent
58 > our attempt at doing so.
59 >
60 > Other models of new physics in the dilepton final state
61 > can be confronted in an approximate way by simple
62 > generator-level studies that
63 > compare the expected number of events in 34.0~pb$^{-1}$
64 > with our upper limit of 4.1 events.  The key ingredients
65 > of such studies are the kinematical cuts described
66 > in this note, the lepton efficiencies, and the detector
67 > responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$.
68 > {LOOKING AT THE 38X MC PLOTS BY EYE, THE FOLLOWING QUANTITIES LOOK ABOUT RIGHT.}
69 > The muon identification efficiency is $\approx 95\%$;
70 > the electron identification efficiency varies from $\approx$ 63\% at
71 > $P_T = 10$ GeV to 91\% for $P_T > 30$ GeV.  The isolation
72 > efficiency in top events varies from $\approx 83\%$ (muons)
73 > and $\approx 89\%$ (electrons) at $P_T=10$ GeV to
74 > $\approx 95\%$ for $P_T>60$ GeV. {\bf \color{red} The following quantities were calculated
75 > with Spring10 samples. } The average detector
76 > responses for SumJetPt and $\met/\sqrt{\rm SumJetPt}$ are
77 > $1.00 \pm 0.05$ and $0.94 \pm 0.05$ respectively, where
78 > the uncertainties are from the jet energy scale uncertainty.
79 > The experimental resolutions on these quantities are 10\% and
80 > 14\% respectively.
81 >
82 > To justify the statements in the previous paragraph
83 > about the detector responses, we plot
84 > in Figure~\ref{fig:response} the average response for
85   SumJetPt and \met/$\sqrt{\rm SumJetPt}$ in MC, as well as the
86   efficiency for the cuts on these quantities used in defining the
87   signal region.
88   % (SumJetPt $>$ 300 GeV and \met/$\sqrt{\rm SumJetPt} > 8.5$
89   % Gev$^{\frac{1}{2}}$).  
90 + {\bf \color{red} The following numbers were derived from Spring10 samples, They should be the }
91 + {\bf \color{red} same for the Fall10 samples; this needs to be verified .}
92   We find that the average SumJetPt response
93 < in the Monte Carlo
94 < is very close to one, with an RMS of order 10\%;
45 < the
46 < response of \met/$\sqrt{\rm SumJetPt}$ is approximately 0.94 with an
93 > in the Monte Carlo is very close to one, with an RMS of order 10\% while
94 > the response of \met/$\sqrt{\rm SumJetPt}$ is approximately 0.94 with an
95   RMS of 14\%.
96  
97 < Using this information as well as the kinematical
98 < cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
99 < of Figures~\ref{fig:effttbar}, one should be able to confront
100 < any existing or future model via a relatively simple generator
101 < level study by comparing the expected number of events in 35 pb$^{-1}$
102 < with our upper limit of 4.1 events.
97 > %Using this information as well as the kinematical
98 > %cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
99 > %of Figures~\ref{fig:effttbar}, one should be able to confront
100 > %any existing or future model via a relatively simple generator
101 > %level study by comparing the expected number of events in 35 pb$^{-1}$
102 > %with our upper limit of 4.1 events.
103  
104   \begin{figure}[tbh]
105   \begin{center}
106 < \includegraphics[width=\linewidth]{selectionEff.png}
106 > \includegraphics[width=\linewidth]{selectionEffDec10.png}
107   \caption{\label{fig:response} Left plots: the efficiencies
108   as a function of the true quantities for the SumJetPt (top) and
109   tcMET/$\sqrt{\rm SumJetPt}$ (bottom) requirements for the signal
# Line 66 | Line 114 | Right plots: The average response and it
114   The response is defined as the ratio of the reconstructed quantity
115   to the true quantity in MC.  These plots are done using the LM0
116   Monte Carlo, but they are not expected to depend strongly on
117 < the underlying physics.}
117 > the underlying physics.
118 > {\bf \color{red} These plots were made with Fall10 samples. } }
119   \end{center}
120   \end{figure}
121 +
122 +
123 +
124 + %%%  Nominal
125 + % -----------------------------------------
126 + % observed events                         1
127 + % relative error on acceptance        0.000
128 + % expected background                 1.400
129 + % absolute error on background        0.770
130 + % desired confidence level             0.95
131 + % integration upper limit             30.00
132 + % integration step size              0.0100
133 + % -----------------------------------------
134 + % Are the above correct? y
135 + %    1  16.685     0.29375E-06
136 + %
137 + % limit: less than     4.112 signal events
138 +
139 +
140 +
141 + %%%  Add 20% acceptance uncertainty based on LM0
142 + % -----------------------------------------
143 + % observed events                         1
144 + % relative error on acceptance        0.200
145 + % expected background                 1.400
146 + % absolute error on background        0.770
147 + % desired confidence level             0.95
148 + % integration upper limit             30.00
149 + % integration step size              0.0100
150 + % -----------------------------------------
151 + % Are the above correct? y
152 + %    1  29.995     0.50457E-06
153 + %
154 + % limit: less than     4.689 signal events

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