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\begin{center} |
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\caption{\label{tab:datayield} Data yields in the four |
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regions of Figure~\ref{fig:abcdData}, as well as the predicted yield in region D given |
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< |
by A$\times$C / B. The quoted uncertainty |
33 |
> |
by A $\times$C / B. The quoted uncertainty |
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on the prediction in data is statistical only, assuming Gaussian errors. |
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We also show the SM Monte Carlo expectations, scaled to 34.85~pb$^{-1}$.} |
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\begin{tabular}{l||c|c|c|c||c} |
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\hline |
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< |
sample & A & B & C & D & A$\times$C / B \\ |
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> |
sample & A & B & C & D & A $\times$ C / B \\ |
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|
\hline |
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+ |
|
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$t\bar{t}\rightarrow \ell^{+}\ell^{-}$ & 7.96 & 33.07 & 4.81 & 1.20 & 1.16 \\ |
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< |
$t\bar{t}\rightarrow \mathrm{other}$ & 0.15 & 0.85 & 0.09 & 0.04 & 0.02 \\ |
43 |
< |
$Z^0$ + jets & 0.00 & 1.16 & 0.08 & 0.08 & 0.00 \\ |
44 |
< |
$W^{\pm}$ + jets & 0.00 & 0.10 & 0.00 & 0.00 & 0.00 \\ |
45 |
< |
$W^+W^-$ & 0.19 & 0.29 & 0.02 & 0.07 & 0.02 \\ |
46 |
< |
$W^{\pm}Z^0$ & 0.03 & 0.04 & 0.01 & 0.01 & 0.00 \\ |
47 |
< |
$Z^0Z^0$ & 0.00 & 0.03 & 0.00 & 0.00 & 0.00 \\ |
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< |
single top & 0.28 & 1.00 & 0.04 & 0.01 & 0.01 \\ |
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> |
$t\bar{t}\rightarrow \mathrm{other}$ & 0.15 & 0.85 & 0.09 & 0.04 & 0.02 \\ |
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> |
$Z^0 \rightarrow \ell^{+}\ell^{-}$ & 0.03 & 1.47 & 0.10 & 0.10 & 0.00 \\ |
44 |
> |
$W^{\pm}$ + jets & 0.00 & 0.10 & 0.00 & 0.00 & 0.00 \\ |
45 |
> |
$W^+W^-$ & 0.19 & 0.29 & 0.02 & 0.07 & 0.02 \\ |
46 |
> |
$W^{\pm}Z^0$ & 0.03 & 0.04 & 0.01 & 0.01 & 0.00 \\ |
47 |
> |
$Z^0Z^0$ & 0.00 & 0.03 & 0.00 & 0.00 & 0.00 \\ |
48 |
> |
single top & 0.28 & 1.00 & 0.04 & 0.01 & 0.01 \\ |
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|
\hline |
50 |
< |
total SM MC & 8.61 & 36.54 & 5.05 & 1.41 & 1.19 \\ |
50 |
> |
total SM MC & 8.63 & 36.85 & 5.07 & 1.43 & 1.19 \\ |
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|
\hline |
52 |
< |
data & 11 & 36 & 5 & 1 &1.53 $\pm$ 0.86 \\ |
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> |
data & 11 & 36 & 5 & 1 & $1.53\pm0.86$ \\ |
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|
\hline |
54 |
|
\end{tabular} |
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|
\end{center} |
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|
where we have taken $K = 1.73$ and $K_C = 1$. This yield is in good |
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agreement with the observed yield of 11 events, as shown in |
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Table~\ref{tab:victory_control} and displayed in Fig.~\ref{fig:victory} (left). |
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– |
{\color{red} \bf Perform DY estimate for this control region}. |
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|
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Encouraged by the good agreement between predicted and observed yields |
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in the control region, we proceed to perform the $P_T(\ell \ell)$ method |
88 |
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replaced by a $P_T(\ell\ell)/\sqrt{\rm SumJetPt}$ requirement, |
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is $N_{D'}=2$. |
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We next subtract off the expected DY contribution of |
91 |
< |
{\color{red} \bf $N_{DY}$ = 0.8 $\pm$ 0.8 (update DY estimate)} events, as calculated |
91 |
> |
$N_{DY}$ = $0.4 \pm 0.4$ events, as calculated |
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|
in Sec.~\ref{sec:othBG}. The BG prediction is |
93 |
< |
$N_D = K \cdot K_C \cdot (N_{D'}-N_{DY}) = 1.8^{+2.5}_{-1.8}$ (statistical |
93 |
> |
$N_D = K \cdot K_C \cdot (N_{D'}-N_{DY}) = 2.5 \pm 2.2$ (statistical |
94 |
|
uncertainty only, assuming Gaussian errors), where $K=1.54 \pm xx$ |
95 |
|
as derived in Sec.~\ref{sec:victory} and $K_C = 1$. |
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This prediction is consistent with the observed yield of |
111 |
|
\end{figure} |
112 |
|
|
113 |
|
|
114 |
+ |
|
115 |
|
\begin{table}[hbt] |
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\begin{center} |
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\caption{\label{tab:victory_control}Results of the dilepton $p_{T}$ template method in the control region |
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|
\hline |
124 |
|
& Predicted & Observed & Obs/Pred \\ |
125 |
|
\hline |
126 |
< |
total SM MC & 7.10 & 8.61 & 1.21 \\ |
126 |
> |
total SM MC & 7.18 & 8.63 & 1.20 \\ |
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|
data & 10.38 $\pm$ 4.24 & 11 & 1.06 \\ |
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|
\hline |
129 |
|
\end{tabular} |
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|
\hline |
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|
& Predicted & Observed & Obs/Pred \\ |
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|
\hline |
144 |
< |
total SM MC & 0.96 & 1.41 & 1.46 \\ |
145 |
< |
data & $1.8^{+2.5}_{-1.8}$ & 1 & 0.56 \\ |
144 |
> |
total SM MC & 1.03 & 1.43 & 1.38 \\ |
145 |
> |
data & $2.53 \pm 2.25$ & 1 & 0.40 \\ |
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|
\hline |
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|
\end{tabular} |
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\end{center} |