ViewVC Help
View File | Revision Log | Show Annotations | Root Listing
root/cvsroot/UserCode/claudioc/OSNote2010/limit.tex
(Generate patch)

Comparing UserCode/claudioc/OSNote2010/limit.tex (file contents):
Revision 1.4 by benhoob, Thu Nov 11 15:44:01 2010 UTC vs.
Revision 1.15 by benhoob, Thu Dec 2 16:42:37 2010 UTC

# Line 1 | Line 1
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.}.
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 < $1.8^{+2.5}_{-1.8}$ 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 baysean 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 $N_{BG}=1.4 \pm 1.0$
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 X.
26 > This was calculated using a background prediction of $N_{BG}=X \pm Y$
27 > {\bf \color{red} WHAT TO TAKE FOR $N_{BG}$???.}
28   events.  The upper limit is not very sensitive to the choice of
29   $N_{BG}$ and its uncertainty.
30  
31   To get a feeling for the sensitivity of this search to some
32   popular SUSY models, we remind the reader of the number of expected
33 < LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.5 \pm 1.3$
34 < events and $2.6 \pm 0.4$ respectively, where the uncertainties
33 > LM0 and LM1 events from Table~\ref{tab:sigcont}: $6.3 \pm 1.3$
34 > events and $2.6 \pm 0.4$ ({\bf \color{red} Update uncertainties})
35 > respectively, where the uncertainties
36   are from energy scale (Section~\ref{sec:systematics}), luminosity,
37 < and lepton efficiency.
37 > and lepton efficiency.  Note that these expected SUSY yields
38 > are computed using LO cross-sections, and are therefore underestimated.
39  
40 < In Figures XX and YY we provide the response functions for the
41 < SumJetPt and \met/$\sqrt{\rm SumJetPt}$ cuts used in our analysis,
42 < {\em i.e.} the efficiencies of the experimental cuts as a function of
43 < the true quantities.  Using this information as well as the kinematical
44 < cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
45 < of Figures~\ref{fig:effttbar}, one should be able to confront
46 < any existing or future model via a relatively simple generator
47 < level study by comparing the expected number of events in 35 pb$^{-1}$
48 < with our upper limit of 4.1 events.
40 > Conveying additional useful information about the results of
41 > a generic ``signature-based'' search such as the one described
42 > in this note is a difficult issue.  The next paragraph represent
43 > our attempt at doing so.
44 >
45 > {\bf \color{red} Some of these results may need to be updated with 38X systematic studies}
46 > Other models of new physics in the dilepton final state
47 > can be confronted in an approximate way by simple
48 > generator-level studies that
49 > compare the expected number of events in 35 pb$^{-1}$
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/$\sqrt{\rm SumJetPt}$.
54 > The muon identification efficiency is $\approx 95\%$;
55 > the electron identification efficiency varies from $\approx$ 63\% at
56 > $P_T = 10$ GeV to 91\% for $P_T > 30$ GeV.  The isolation
57 > efficiency in top events varies from $\approx 83\%$ (muons)
58 > and $\approx 89\%$ (electrons) at $P_T=10$ GeV to
59 > $\approx 95\%$ for $P_T>60$ GeV.  The average detector
60 > responses for SumJetPt and $\met/\sqrt{\rm SumJetPt}$ are
61 > $1.00 \pm 0.05$ and $0.94 \pm 0.05$ respectively, where
62 > the uncertainties are from the jet energy scale uncertainty.
63 > The experimental resolutions on these quantities are 10\% and
64 > 14\% respectively.
65 >
66 > To justify the statements in the previous paragraph
67 > about the detector responses, we plot
68 > in Figure~\ref{fig:response} the average response for
69 > SumJetPt and \met/$\sqrt{\rm SumJetPt}$ in MC, as well as the
70 > efficiency for the cuts on these quantities used in defining the
71 > signal region.
72 > % (SumJetPt $>$ 300 GeV and \met/$\sqrt{\rm SumJetPt} > 8.5$
73 > % Gev$^{\frac{1}{2}}$).  
74 > We find that the average SumJetPt response
75 > in the Monte Carlo
76 > is very close to one, with an RMS of order 10\% while
77 > the
78 > response of \met/$\sqrt{\rm SumJetPt}$ is approximately 0.94 with an
79 > RMS of 14\%.
80 >
81 > %Using this information as well as the kinematical
82 > %cuts described in Section~\ref{sec:eventSel} and the lepton efficiencies
83 > %of Figures~\ref{fig:effttbar}, one should be able to confront
84 > %any existing or future model via a relatively simple generator
85 > %level study by comparing the expected number of events in 35 pb$^{-1}$
86 > %with our upper limit of 4.1 events.
87 >
88 > \begin{figure}[tbh]
89 > \begin{center}
90 > \includegraphics[width=\linewidth]{selectionEff.png}
91 > \caption{\label{fig:response} Left plots: the efficiencies
92 > as a function of the true quantities for the SumJetPt (top) and
93 > tcMET/$\sqrt{\rm SumJetPt}$ (bottom) requirements for the signal
94 > region as a function of their true values.  The value of the
95 > cuts is indicated by the vertical line.
96 > Right plots: The average response and its RMS for the SumJetPt
97 > (top) and tcMET/$\sqrt{\rm SumJetPt}$ (bottom) measurements.
98 > The response is defined as the ratio of the reconstructed quantity
99 > to the true quantity in MC.  These plots are done using the LM0
100 > Monte Carlo, but they are not expected to depend strongly on
101 > the underlying physics.}
102 > \end{center}
103 > \end{figure}

Diff Legend

Removed lines
+ Added lines
< Changed lines
> Changed lines