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# Line 16 | Line 16 | $Z$ candidates passing the full selectio
16   then scaling by the expected ratio of Drell Yan
17   events outside vs. inside the $Z$ mass
18   window.\footnote{A correction based on $e\mu$ events
19 < is also applied.}  This ratio is typically 0.1.  
19 > is also applied.}  This ratio is called $R_{out/in}$
20 > and is obtained from Monte Carlo.
21 >
22 > To estimate the Drell-Yan contribution in the four $ABCD$
23 > regions, we count the numbers of $Z \to ee$ and $Z \to \mu\mu$
24 > events falling in each region, we subtract off the number
25 > of $e\mu$ events with $76 < M(e\mu) < 106$ GeV, and
26 > we multiply the result by $R_{out/in}$ from Monte Carlo.
27 > The results are summarized in Table~\ref{tab:ABCD-DY}.
28 >
29 > \begin{table}[hbt]
30 > \begin{center}
31 > \caption{\label{tab:ABCD-DY} Drell-Yan estimations
32 > in the four
33 > regions of Figure~\ref{fig:abcdData}.  The yields are
34 > for dileptons with invariant mass consistent with the $Z$.
35 > The factor
36 > $R_{out/in}$ is from MC.  All uncertainties
37 > are statistical only.}
38 > \begin{tabular}{|l|c|c|c||c|}
39 > \hline
40 > Region   & $N(ee)+N(\mu\mu)$ & $N(e\mu)$ & $R_{out/in}$ & Estimated DY BG \\
41 > \hline
42 > $A$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
43 > $B$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
44 > $C$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
45 > $D$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
46 > \hline
47 > \end{tabular}
48 > \end{center}
49 > \end{table}
50 >
51 >
52 >
53 > %When  find no dilepton events with invariant mass
54 > %consistent with the $Z$ in the signal region.
55 > %Using the value of 0.1 for the ratio described above, this
56 > %means that the Drell Yan background in our signal
57 > %region is $< 0.23\%$ events at the 90\% confidence level.
58 > %{\color{red} (If we find 1 event this will need to be adjusted)}.
59 >
60 > As discussed in Section~\ref{sec:victory}, residual Drell-Yan
61 > events can have a significant effect on the data driven background
62 > prediction based on $P_T(\ell\ell)$.  This is taken into account,
63 > based on MC expectations,
64 > by the $K_{\rm{fudge}}$ factor describes in that Section.  
65 > As a cross-check, we use the same Drell Yan background
66 > estimation method described above to estimated the
67 > number of DY events in the regions $A'B'C'D'$.
68 > The region $A'$ is defined in the same way as the region $A$
69 > except that the $\met/\sqrt{\rm SumJetPt}$ requirement is
70 > replaced by a $P_T(\ell\ell)/\sqrt{\rm SumJetPt}$ requirement.
71 > The regions B',
72 > C', and D' are defined in a similar way.  The results are
73 > summarized in Table~\ref{tab:ABCD-DYptll}.
74 >
75 > \begin{table}[hbt]
76 > \begin{center}
77 > \caption{\label{tab:ABCD-DYptll} Drell-Yan estimations
78 > in the four
79 > regions $A'B'C'D'$ defined in the text.  The yields are
80 > for dileptons with invariant mass consistent with the $Z$.
81 > The factor
82 > $R_{out/in}$ is from MC.  All uncertainties
83 > are statistical only.}
84 > \begin{tabular}{|l|c|c|c||c|}
85 > \hline
86 > Region    & $N(ee)+N(\mu\mu)$ & $N(e\mu)$ & $R_{out/in}$ & Estimated DY BG \\
87 > \hline
88 > $A'$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
89 > $B'$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
90 > $C'$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
91 > $D'$      &  xx               & xx        & xx$\pm$xx   & xx$\pm$xx   \\
92 > \hline
93 > \end{tabular}
94 > \end{center}
95 > \end{table}
96  
21 When  find no dilepton events with invariant mass
22 consistent with the $Z$ in the signal region.
23 Using the value of 0.1 for the ratio described above, this
24 means that the Drell Yan background in our signal
25 region is $< 0.23\%$ events at the 90\% confidence level.
26 {\color{red} (If we find 1 event this will need to be adjusted)}.
97  
98   Finally, we can use the ``Fake Rate'' method\cite{ref:FR}
99   to predict

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