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1 \section{Data Driven Background Estimation Methods}
2 \label{sec:datadriven}
3 We have developed two data-driven methods to
4 estimate the background in the signal region.
5 The first one explouts the fact that
6 \met and \met$/\sqrt{\rm SumJetPt}$ are nearly
7 uncorrelated for the $t\bar{t}$ background
8 (Section~\ref{sec:abcd}); the second one
9 is based on the fact that in $t\bar{t}$ the
10 $P_T$ of the dilepton pair is on average
11 nearly the same as the $P_T$ of the pair of neutrinos
12 from $W$-decays, which is reconstructed as \met in the
13 detector.
14
15 in 30 pb$^{-1}$ we expect $\approx$ 1 SM event in
16 the signal region. The expectations from the LMO
17 and LM1 SUSY benchmark points are {\color{red} XX} and
18 {\color{red} XX} events respectively.
19
20
21 \subsection{ABCD method}
22 \label{sec:abcd}
23
24 We find that in $t\bar{t}$ events \met and
25 \met$/\sqrt{\rm SumJetPt}$ are nearly uncorrelated.
26 This is demonstrated in Figure~\ref{fig:uncor}.
27 Thus, we can use an ABCD method in the \met$/\sqrt{\rm SumJetPt}$ vs
28 sumJetPt plane to estimate the background in a data driven way.
29
30 \begin{figure}[htb]
31 \begin{center}
32 \includegraphics[width=0.75\linewidth]{uncorrelated.pdf}
33 \caption{\label{fig:uncor}\protect Distributions of SumJetPt
34 in MC $t\bar{t}$ events for different intervals of
35 MET$/\sqrt{\rm SumJetPt}$.}
36 \end{center}
37 \end{figure}
38
39 \begin{figure}[htb]
40 \begin{center}
41 \includegraphics[width=0.75\linewidth]{abcdMC.jpg}
42 \caption{\label{fig:abcdMC}\protect Distributions of SumJetPt
43 vs. MET$/\sqrt{\rm SumJetPt}$ for SM Monte Carlo. Here we also
44 show our choice of ABCD regions. {\color{red} We need a better
45 picture with the letters A-B-C-D and with the numerical values
46 of the boundaries clearly indicated.}}
47 \end{center}
48 \end{figure}
49
50
51 Our choice of ABCD regions is shown in Figure~\ref{fig:abcdMC}.
52 The signal region is region D. The expected number of events
53 in the four regions for the SM Monte Carlo, as well as the BG
54 prediction AC/B is given in Table~\ref{tab:abcdMC} for an integrated
55 luminosity of 30 pb$^{-1}$. The ABCD method is accurate
56 to about 10\%.
57
58 \begin{table}[htb]
59 \begin{center}
60 \caption{\label{tab:abcdMC} Expected SM Monte Carlo yields for
61 30 pb$^{-1}$ in the ABCD regions.}
62 \begin{tabular}{|l|c|c|c|c||c|}
63 \hline
64 Sample & A & B & C & D & AC/D \\ \hline
65 ttdil & 6.4 & 28.4 & 4.2 & 1.0 & 0.9 \\
66 Zjets & 0.0 & 1.3 & 0.2 & 0.0 & 0.0 \\
67 Other SM & 0.6 & 2.1 & 0.2 & 0.1 & 0.0 \\ \hline
68 total MC & 7.0 & 31.8 & 4.5 & 1.1 & 1.0 \\ \hline
69 \end{tabular}
70 \end{center}
71 \end{table}
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