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Revision 1.10 by claudioc, Sun Nov 14 12:27:22 2010 UTC vs.
Revision 1.20 by benhoob, Mon Dec 6 16:18:13 2010 UTC

# Line 8 | Line 8 | in the signal region, defined as SumJetP
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 > We have also calculated this limit using a profile likelihood method
27 > as implemented in the cl95cms software, and we also find 4.1.
28 > These limits were calculated using a background prediction of $N_{BG}=1.7 \pm 1.1$
29   events.  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}: $6.3 \pm 1.3$
35 > events and $2.6 \pm 0.4$
36 > respectively, where the uncertainties
37   are from energy scale (Section~\ref{sec:systematics}), luminosity,
38   and lepton efficiency.  Note that these expected SUSY yields
39   are computed using LO cross-sections, and are therefore underestimated.
40  
41   Conveying additional useful information about the results of
42   a generic ``signature-based'' search such as the one described
43 < in ths note is a difficult issue.  The next paragraph represent
43 > in this note is a difficult issue.  The next paragraph represent
44   our attempt at doing so.
45  
46   Other models of new physics in the dilepton final state
# Line 46 | Line 50 | compare the expected number of events in
50   with our upper limit of 4.1 events.  The key ingredients
51   of such studies are the kinematical cuts described
52   in this note, the lepton efficiencies, and the detector
53 < responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$.
53 > responses for SumJetPt and \met/$\sqrt{\rm SumJetPt}$. These
54 > quantities have been evaluated with Spring10 MC samples,
55 > and we are currently checking if any of them change after
56 > switching to Fall10 MC.
57   The muon identification efficiency is $\approx 95\%$;
58   the electron identification efficiency varies from $\approx$ 63\% at
59   $P_T = 10$ GeV to 91\% for $P_T > 30$ GeV.  The isolation
60   efficiency in top events varies from $\approx 83\%$ (muons)
61   and $\approx 89\%$ (electrons) at $P_T=10$ GeV to
62 < $\approx 95\%$ for $P_T>60$ GeV.  The average detector
62 > $\approx 95\%$ for $P_T>60$ GeV.  
63 > {\bf \color{red} THE FOLLOWING QUANTITIES SHOULD BE RECALCULATED AFTER
64 > WE FIX THE BUGS WITH THE MET IN LM SAMPLES}
65 > The average detector
66   responses for SumJetPt and $\met/\sqrt{\rm SumJetPt}$ are
67   $1.00 \pm 0.05$ and $0.94 \pm 0.05$ respectively, where
68   the uncertainties are from the jet energy scale uncertainty.
69   The experimental resolutions on these quantities are 10\% and
70   14\% respectively.
71  
62
63
64
72   To justify the statements in the previous paragraph
73   about the detector responses, we plot
74   in Figure~\ref{fig:response} the average response for
# Line 70 | Line 77 | efficiency for the cuts on these quantit
77   signal region.
78   % (SumJetPt $>$ 300 GeV and \met/$\sqrt{\rm SumJetPt} > 8.5$
79   % Gev$^{\frac{1}{2}}$).  
80 + {\bf \color{red} THE FOLLOWING QUANTITIES SHOULD BE RECALCULATED AFTER
81 + WE FIX THE BUGS WITH THE MET IN LM SAMPLES}
82   We find that the average SumJetPt response
83   in the Monte Carlo
84   is very close to one, with an RMS of order 10\% while
# Line 97 | Line 106 | Right plots: The average response and it
106   The response is defined as the ratio of the reconstructed quantity
107   to the true quantity in MC.  These plots are done using the LM0
108   Monte Carlo, but they are not expected to depend strongly on
109 < the underlying physics.}
109 > the underlying physics.
110 > {\bf \color{red} UPDATE AFTER FIXING BUGS WITH LM SAMPLES. } }
111   \end{center}
112   \end{figure}

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