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benhoob |
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\clearpage
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\subsection{Preselection Yields}
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\label{sec:yields}
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The dilepton mass spectra for the $ee$ and $\mu\mu$ final states are shown in
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Figure~\ref{fig:dilmass}, after applying the preselection of Sec.~\ref{sec:eventSelection}, except for the dilepton mass requirement.
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For all MC plots and tables, the yields are normalized to \lumi\ using the cross-sections
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from Reference~\cite{ref:xsec}.
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%assuming 100\%
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%using trigger efficiency as described in section \ref{sec:trigSel}.
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%Add statement about overflow
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For these plots and all others in this note, the last bin contains the overflow.
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\begin{figure}[hbt]
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\begin{center}
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\includegraphics[width=0.48\linewidth]{plots/hdilmass_ee_allj.pdf}
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\includegraphics[width=0.48\linewidth]{plots/hdilmass_mm_allj.pdf}
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\caption{
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\label{fig:dilmass}\protect
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Dilepton mass distribution for events passing the pre-selection for \lumi~
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in the $ee$ (left) and $\mu\mu$ (right) final states. Backgrounds from
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single top and $W$+jets are omitted
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since they are negligible.}
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\end{center}
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\end{figure}
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The data yields and the MC predictions are given in Table~\ref{preselyieldtable}, after applying
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the full preselection including the dilepton mass requirement.
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%Dilepton mass and MET distributions for \emu ~events are shown in appendix \ref{app:emu}.
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As anticipated, the MC predicts that the preselection is dominated by Z+jets in the same-flavor
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case and by \ttbar\ in the opposite-flavor case. We observe a small deficit %($\sim$9\%) %now ~20%...
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in data
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with respect to the MC prediction which is dominated by \zjets, but we do not use the \zjets\ MC quantitatively in the search.
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%The data yield is in reasonable agreement with the predictions for the $ee$, $\mu\mu$ and $e\mu$ channels.
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\begin{table}[htb]
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\begin{center}
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\caption{\label{preselyieldtable} Data and Monte Carlo yields for the preselection with \njets\ $\ge$ 2 for \lumi.
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}
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\begin{tabular}{lccccc}
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\hline
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Sample & $ee$ & $\mu\mu$ & $e\mu$ & tot \\
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\hline
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%Normalizing yield tables to 4.98/fb
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%Yields for: hyp_z && !hyp_samesign && pfnjet_res >= 2 && (hyp_p4.M() > 81 && hyp_p4.M() < 101) && pfnbtag_tche100 == 0 && nlep == 2 && pfjets_masslead > 70.000000 && pfjets_masslead < 110.000000
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%applying b mistag weight
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%applying nvtx weight
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\hline
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WJets & 2.3 $\pm$ 2.2 & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 2.3 $\pm$ 2.2 \\
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WW & 2.1 $\pm$ 0.2 & 2.6 $\pm$ 0.2 & 4.9 $\pm$ 0.3 & 9.7 $\pm$ 0.5 \\
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WZ & 136.8 $\pm$ 1.2 & 137.5 $\pm$ 1.2 & 0.7 $\pm$ 0.1 & 275.1 $\pm$ 1.7 \\
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ZZ & 121.8 $\pm$ 0.9 & 125.6 $\pm$ 0.8 & 0.1 $\pm$ 0.0 & 247.5 $\pm$ 1.2 \\
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Single Top & 1.0 $\pm$ 0.2 & 1.1 $\pm$ 0.3 & 1.7 $\pm$ 0.3 & 3.8 $\pm$ 0.5 \\
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\ttbar & 9.2 $\pm$ 0.4 & 9.1 $\pm$ 0.4 & 19.1 $\pm$ 0.5 & 37.4 $\pm$ 0.7 \\
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Z+Jets & 10951.2 $\pm$ 80.6 & 11566.7 $\pm$ 78.7 & 1.8 $\pm$ 0.9 & 22519.6 $\pm$ 112.7 \\
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\hline
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Total MC & 11224.4 $\pm$ 80.7 & 11842.7 $\pm$ 78.7 & 28.4 $\pm$ 1.2 & 23095.5 $\pm$ 112.7 \\
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\hline
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Data & 9734 & 10314 & 28 & 20076 \\
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\hline
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\end{tabular}
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\end{center}
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\end{table}
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\begin{comment}
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%nj3
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Because we consider a signal region selection of \njets\ $\ge$ 3, we show in
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table \ref{preselyieldtablenj3}
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the yields for the preselection with this \njets\ requirement.
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\begin{table}[htb]
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\begin{center}
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\caption{\label{preselyieldtablenj3} Data and Monte Carlo yields for the preselection with \njets\ $\ge$ 3 for \lumi.
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%The NLO yields for the SUSY benchmark processes LM4 and LM8 are also shown.
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}
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\begin{tabular}{lccccc}
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\hline
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Sample & $ee$ & $\mu\mu$ & $e\mu$ & tot \\
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\hline
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WJets & 0.0 $\pm$ 0.0 & 0.0 $\pm$ 0.0 & 1.7 $\pm$ 1.7 & 1.7 $\pm$ 1.7 \\
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WW & 3.7 $\pm$ 0.3 & 4.0 $\pm$ 0.3 & 7.4 $\pm$ 0.4 & 15.2 $\pm$ 0.5 \\
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WZ & 118.1 $\pm$ 1.0 & 117.8 $\pm$ 0.9 & 1.4 $\pm$ 0.1 & 237.3 $\pm$ 1.3 \\
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ZZ & 71.0 $\pm$ 0.6 & 79.2 $\pm$ 0.6 & 0.2 $\pm$ 0.0 & 150.5 $\pm$ 0.8 \\
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Single Top & 8.0 $\pm$ 0.6 & 7.0 $\pm$ 0.5 & 14.2 $\pm$ 0.8 & 29.1 $\pm$ 1.1 \\
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\ttbar & 237.1 $\pm$ 1.7 & 238.3 $\pm$ 1.7 & 479.1 $\pm$ 2.4 & 954.4 $\pm$ 3.4 \\
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Z+Jets & 9932.0 $\pm$ 65.1 & 10147.2 $\pm$ 62.4 & 5.3 $\pm$ 1.5 & 20084.4 $\pm$ 90.2 \\
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\hline
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Total MC & 10369.8 $\pm$ 65.1 & 10593.5 $\pm$ 62.4 & 509.3 $\pm$ 3.4 & 21472.6 $\pm$ 90.3 \\
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\hline
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Data & 9760 & 10356 & 506 & 20622 \\
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\end{tabular}
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\end{center}
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\end{table}
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\end{comment}
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