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\section{Lepton Selection}\label{section:Leptons}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%++++++++++++++++++++++++++++++++++++++++++++++++++
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\subsection{Muons}
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%++++++++++++++++++++++++++++++++++++++++++++++++++
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%__________________________________________________
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\subsubsection{Offline Selection}
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%__________________________________________________
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We select offline muon candidates that satisfy the critria in Tables~\ref{tab:muonID} and~\ref{tab:muonIso}. The primary difference between these criteria and those of~\cite{baseline} are our inclusion of Tracker muons, which provide us with a high-efficiency low-$p_{T}$ reconstruction path. We also introduce additional quality requirements intended to reduce non-prompt backgrounds and we impose $\eta/p_{T}$ dependent, per-muon PF isolation requirements.
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%-------------------------------------------------
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\begin{table}[tbh]
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\begin{center}
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\begin{tabular}{c|c}
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\hline
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\multicolumn{2}{c}{General Muon Requirements} \\
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\hline
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$p_{T}$ & $< 5~\rm{GeV}$ \\
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$|\eta|$ & $< 2.4$ \\
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Tracker hits & $\ge 11$ \\
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Pixel hits & $> 0$ \\
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$\sigma(p_{T})/p_{T}$ & $\le 0.1$ \\
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dz & $< 0.1~\rm{cm}$ \\
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$\rm |d_{0}|$ & $< 0.02~\rm{cm}$ \\
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Muon type & Tracker or Global \\
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\hline
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\hline
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\multicolumn{2}{}{~\\} \\
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\hline
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\multicolumn{2}{c}{Tracker Muons} \\
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\hline
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Qualtity Bits & LastStationTight \\
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\hline
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\multicolumn{2}{}{~\\} \\
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\hline
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\multicolumn{2}{c}{Global Muons} \\
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\hline
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$\chi^{2}_{fit}$ & $< 10$ \\
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Valid Hits & $\ge 1$ \\
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\hline
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\end{tabular}
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\caption{Muon Identification Criteria.}\label{tab:muonID}
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\end{center}
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\end{table}
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%-------------------------------------------------
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%-------------------------------------------------
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\begin{table}[htb]
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\begin{center}
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\begin{tabular}{c|c|c}
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\hline
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$\rm p_{T}$ & $|\eta|$ & $\rm pfIso03/p_{T}$ \\
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\hline
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$> 20$ & $< 1.48$ & $ < 0.13 $ \\
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$> 20$ & $> 1.48$ & $ < 0.09 $ \\
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$< 20$ & $< 1.48$ & $ < 0.06 $ \\
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$< 20$ & $> 1.48$ & $ < 0.05 $ \\
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\hline
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\end{tabular}
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\caption{Muon pfIsolation Criteria.}\label{tab:muonIso}
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\end{center}
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\end{table}
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%-------------------------------------------------
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% CMS AN-2011/097 TP
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We measure the efficiency of this selection using samples of $Z \rightarrow \mu\mu$ events and the ``Tag \& Probe'' technique~\cite{TP}. The $\mathcal{L} = 2.1\rm~fb{-1}$ dataset contains a sufficient number of $Z$ events for us to obtain selection efficiencies for muons below $10\rm~GeV$, thus we do not utilize separate samples of low-mass resonances for this region. We require events containing at least one muon candidate that passes the full set of muon identifiation criteria (the tag) and at least one additional reconstructed Global or Tracker muon candidate (the probe). The sample is split according to whether the probe passes of fails our selection. We determine efficiency in MC by simply counting the number of events that pass or fail the selection in bins of $p_{T}$ and $\eta$. Efficiency is extracted in data by fitting with MC signal shapes and empirical functional hypotheses for the background. Figures~\ref{fig:muTPhighpt} and~\ref{fig:muTPlowpt} respectively show fits results in the central region for high and low $p_{T}$ bins. The complete set of fit results are included in Appendix~\ref{app:mufits}.
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%-------------------------------------------------
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\begin{figure}[htb]
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\begin{center}
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\includegraphics[width=0.5\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/plots/passetapt_6.png}
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\includegraphics[width=0.5\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/plots/failetapt_6.png}
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\caption{Tag \& Probe fit results for high-$p_{T}$ offline muon selection in the barrel.\label{fig:muTPhighpt} }
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\end{center}
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\end{figure}
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%-------------------------------------------------
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%-------------------------------------------------
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\begin{figure}[htb]
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\begin{center}
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\includegraphics[width=0.5\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/plots/passetapt_0.png}
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\includegraphics[width=0.5\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/plots/failetapt_0.png}
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\caption{Tag \& Probe fit results for low-$p_{T}$ offline muon selection in the barrel.\label{fig:muTPlowpt} }
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\end{center}
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\end{figure}
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%-------------------------------------------------
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We divide the $p_{T}/\eta$ binned data efficiencies with correpsonding values from MC to determine data/MC efficiency scale factors, $f_{ID,Iso}$. We use these factors to weight selected muons in our MC samples, as discussed in Sections~\ref{sec:} and~\ref{sec:}. Figure~\ref{fig:muEff} shows $f_{ID,Iso}$ for the central and forward regions as a function of $p_{T}$. Table~\ref{tab:musf} lists values for $f_{ID,Iso}$ in our $p_{T}/\eta$ bins.
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%-------------------------------------------------
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\begin{figure}[htb]
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\begin{center}
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\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta0.png}
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\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta1.png}
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\caption{$\gamma_d$ Branching Ratios.}\label{fig:muEff}
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\end{center}
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\end{figure}
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%-------------------------------------------------
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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\begin{table}[!ht]
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\begin{center}
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\begin{tabular}{c|c|c}
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\hline & $0 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.4$ \\
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\hline
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$ 5 < p_T < 10$ & $0.9571 \pm 0.0378$ & $0.9860 \pm 0.0044$ \\
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$ 10 < p_T < 15$ & $0.9644 \pm 0.0116$ & $0.9888 \pm 0.0058$ \\
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$ 15 < p_T < 20$ & $0.9870 \pm 0.0057$ & $0.9899 \pm 0.0047$ \\
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$ 20 < p_T < 30$ & $0.9950 \pm 0.0013$ & $0.9984 \pm 0.0009$ \\
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$ 30 < p_T < 40$ & $0.9993 \pm 0.0004$ & $0.9988 \pm 0.0003$ \\
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$ 40 < p_T < 50$ & $0.9989 \pm 0.0002$ & $0.9976 \pm 0.0004$ \\
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$ 50 < p_T < 100$ & $0.9986 \pm 0.0005$ & $0.9965 \pm 0.0025$ \\
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$100 < p_T < 7000$ & $0.9978 \pm 0.0027$ & $1.0049 \pm 0.0083$ \\
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\hline
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\end{tabular}
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\caption{Write some stuff}
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\label{tab:mytable}
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\end{center}
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\end{table}
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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Identification and isolation efficiencies for non-prompt and instrumental muon backgrounds are also evaluated with data. We defer further discussion of this to Section~{sec:}
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%csidetermine a background efficiency ({\it i.e} a ``fakerate'' in the terminology of Section~\ref{sec:}) with respect to objects passing the loose subset of muon indentification criteria listed in Table~\ref{tab:muFO}. We calculate the fakerate using data collected with a single muon trigger. We require a jet of at least $30~\rm{Gev}$ with $\Delta R(\eta,\phi) > 1.5$ from the muon candidate in order to enrich this sample in background. Contributions from W, Z and low-mass resonances are reduced by additionally requiring events that contain only one muon denominator object above $10\rm~GeV$, $MET < 20 ~\rm{GeV}$ and $m_{T} < 30~\rm{GeV}$.
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%__________________________________________________
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\subsubsection{Online Selection}\label{muOnline}
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%__________________________________________________
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We measure $p_{T}/\eta$ binned per-leg efficiencies for the \verb|HLT_DoubleMu_7| and \verb|HLT_Mu_13_8| triggers also using Tag \& Probe. The efficiencies are calculated with respect to the muon candidates that pass the offline requirements described above. We do not use the emulation of these triggers in MC and instead correct the simulation with the absolute efficiency measured in data. Backgrounds after offline selection are so small that we can determine trigger efficiency by simply counting. Tables~\ref{tab:trigEffMu7}-\ref{tab:trigEffMu13_8_trailing} provides the per-leg efficiencies we determine in our various $p_{T}/eta$ bins.
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% figs/mueff/Run2011A_HLT_DoubleMu7/default/extra/dat_eff_table.tex
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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\begin{table}[!ht]
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\begin{center}
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\begin{tabular}{c|c|c|c|c}
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\hline & $0 < |\eta| < 0.8$ & $0.8 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.1$ & $2.1 < |\eta| < 2.4$ \\
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\hline
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$ 5 < p_T < 10$ & $0.7778 \pm 0.1411$ & $0.7812 \pm 0.0978$ & $0.6391 \pm 0.0407$ & $0.5696 \pm 0.0626$ \\
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$ 10 < p_T < 15$ & $0.9581 \pm 0.0218$ & $0.9172 \pm 0.0282$ & $0.9281 \pm 0.0147$ & $0.8750 \pm 0.0364$ \\
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$ 15 < p_T < 20$ & $0.9732 \pm 0.0084$ & $0.9613 \pm 0.0130$ & $0.9583 \pm 0.0081$ & $0.9061 \pm 0.0209$ \\
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$ 20 < p_T < 30$ & $0.9685 \pm 0.0028$ & $0.9381 \pm 0.0057$ & $0.9599 \pm 0.0033$ & $0.9274 \pm 0.0080$ \\
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$ 30 < p_T < 40$ & $0.9625 \pm 0.0019$ & $0.9321 \pm 0.0039$ & $0.9589 \pm 0.0023$ & $0.9195 \pm 0.0064$ \\
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$ 40 < p_T < 50$ & $0.9713 \pm 0.0016$ & $0.9401 \pm 0.0033$ & $0.9594 \pm 0.0021$ & $0.9007 \pm 0.0075$ \\
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$ 50 < p_T < 100$ & $0.9703 \pm 0.0028$ & $0.9411 \pm 0.0060$ & $0.9576 \pm 0.0038$ & $0.9057 \pm 0.0122$ \\
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$100 < p_T < 7000$ & $0.9801 \pm 0.0189$ & $0.9405 \pm 0.0383$ & $0.9490 \pm 0.0330$ & $1.0000 \pm 0.2313$ \\
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\hline
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\end{tabular}
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\caption{Write some stuff}
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\label{tab:mytable}
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\end{center}
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\end{table}
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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%figs/mueff/Run2011A_HLT_Mu13_Mu8_leading/default/extra/dat_eff_table.tex
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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\begin{table}[!ht]
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\begin{center}
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\begin{tabular}{c|c|c|c|c}
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\hline & $0 < |\eta| < 0.8$ & $0.8 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.1$ & $2.1 < |\eta| < 2.4$ \\
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\hline
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$ 5 < p_T < 10$ & $0.0000 \pm 0.0081$ & $0.0000 \pm 0.0062$ & $0.0000 \pm 0.0013$ & $0.0070 \pm 0.0055$ \\
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$ 10 < p_T < 15$ & $0.5566 \pm 0.0135$ & $0.5157 \pm 0.0137$ & $0.4765 \pm 0.0083$ & $0.4481 \pm 0.0144$ \\
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$ 15 < p_T < 20$ & $0.9691 \pm 0.0025$ & $0.9553 \pm 0.0037$ & $0.9443 \pm 0.0027$ & $0.8810 \pm 0.0067$ \\
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$ 20 < p_T < 30$ & $0.9664 \pm 0.0009$ & $0.9552 \pm 0.0015$ & $0.9508 \pm 0.0011$ & $0.8853 \pm 0.0030$ \\
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$ 30 < p_T < 40$ & $0.9684 \pm 0.0005$ & $0.9541 \pm 0.0010$ & $0.9518 \pm 0.0008$ & $0.8859 \pm 0.0023$ \\
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$ 40 < p_T < 50$ & $0.9685 \pm 0.0005$ & $0.9558 \pm 0.0009$ & $0.9524 \pm 0.0007$ & $0.8905 \pm 0.0024$ \\
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$ 50 < p_T < 100$ & $0.9688 \pm 0.0009$ & $0.9545 \pm 0.0016$ & $0.9503 \pm 0.0012$ & $0.8824 \pm 0.0043$ \\
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$100 < p_T < 7000$ & $0.9655 \pm 0.0055$ & $0.9500 \pm 0.0098$ & $0.9433 \pm 0.0083$ & $0.9155 \pm 0.0471$ \\
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\hline
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\end{tabular}
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\caption{Write some stuff}
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\label{tab:mytable}
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\end{center}
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\end{table}
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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%figs/mueff/Run2011A_HLT_Mu13_Mu8_trailing/default/extra/dat_eff_table.tex
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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\begin{table}[!ht]
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\begin{center}
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\begin{tabular}{c|c|c|c|c}
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\hline & $0 < |\eta| < 0.8$ & $0.8 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.1$ & $2.1 < |\eta| < 2.4$ \\
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\hline
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$ 5 < p_T < 10$ & $0.6916 \pm 0.0337$ & $0.5872 \pm 0.0305$ & $0.5293 \pm 0.0135$ & $0.4288 \pm 0.0217$ \\
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$ 10 < p_T < 15$ & $0.9685 \pm 0.0053$ & $0.9514 \pm 0.0064$ & $0.9507 \pm 0.0038$ & $0.9048 \pm 0.0090$ \\
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$ 15 < p_T < 20$ & $0.9700 \pm 0.0025$ & $0.9584 \pm 0.0036$ & $0.9589 \pm 0.0023$ & $0.9169 \pm 0.0058$ \\
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$ 20 < p_T < 30$ & $0.9671 \pm 0.0009$ & $0.9573 \pm 0.0015$ & $0.9586 \pm 0.0010$ & $0.9154 \pm 0.0026$ \\
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$ 30 < p_T < 40$ & $0.9691 \pm 0.0005$ & $0.9562 \pm 0.0010$ & $0.9576 \pm 0.0007$ & $0.9129 \pm 0.0020$ \\
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$ 40 < p_T < 50$ & $0.9691 \pm 0.0005$ & $0.9582 \pm 0.0009$ & $0.9574 \pm 0.0007$ & $0.9129 \pm 0.0021$ \\
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$ 50 < p_T < 100$ & $0.9694 \pm 0.0009$ & $0.9561 \pm 0.0016$ & $0.9543 \pm 0.0012$ & $0.9058 \pm 0.0039$ \\
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$100 < p_T < 7000$ & $0.9662 \pm 0.0054$ & $0.9529 \pm 0.0096$ & $0.9443 \pm 0.0083$ & $0.9577 \pm 0.0394$ \\
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\hline
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\end{tabular}
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\caption{Write some stuff}
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\label{tab:mytable}
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\end{center}
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\end{table}
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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%++++++++++++++++++++++++++++++++++++++++++++++++++
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\subsection{Electrons}
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%++++++++++++++++++++++++++++++++++++++++++++++++++
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%__________________________________________________
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\subsection{Offline Selection}
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%__________________________________________________
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We select electron candidates for the analysis using a multivariate (MV) technique. Our method was developed in parallel with an MV-based electron ID scheme for the WW analysis~\cite{ref:si}. The two methods are equivalent, modulo small differences in implementation that address the relative severity of ``fake'' electron backgrounds in the respectve analyses.
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We utilize a TMVA Boosted Decision Tree (BDT) for MV identification. The BDT is trained with separate samples of candidate objects that are enriched in either fake or real electrons. Candidates are defined as reconstructed electrons that pass the minimal set of selection criteria given in Table~\ref{tab:eleFO}. We construct a signal training sample from pairs of candidates in the DoubleElectron dataset with $|m_{\ell\ell}| < 15~\rm GeV$. Canidates in the signal training sample are required to have $Iso_{comb} < 0.1$ to reduce combinatoric background. Candidates for the background training sample are selected from events that pass a single-electron trigger. As with muons, we require an $\Delta R(\eta,\phi)$ $p_{T}>35~\rm GeV$ jet and reject events with $\rm MET > 20~GeV$, $\rm m_{T} > 30~GeV$ or containing more than one canididate. In addition, we veto conversions to suppress real electron contamination in the background training sample.
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%-------------------------------------------------
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\begin{table}[tbh]
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\begin{center}
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| 222 |
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\begin{tabular}{c|c|c}
|
| 223 |
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\hline
|
| 224 |
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\multicolumn{3}{c}{Relative PF Isolation} \\
|
| 225 |
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\hline
|
| 226 |
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$\rm p_{T}$ & $|\eta|$ & $\rm pfIso03/p_{T}$ \\
|
| 227 |
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\hline
|
| 228 |
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$> 20$ & $< 1.48$ & $ < 0.13 $ \\
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| 229 |
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$> 20$ & $> 1.48$ & $ < 0.09 $ \\
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$< 20$ & $< 1.48$ & $ < 0.06 $ \\
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$< 20$ & $> 1.48$ & $ < 0.05 $ \\
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\hline
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| 233 |
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\end{tabular}
|
| 234 |
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\caption{Electron Candidate Defintion.\label{tab:eleFO}}
|
| 235 |
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\end{center}
|
| 236 |
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\end{table}
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%-------------------------------------------------
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| 239 |
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MV discrimination is performed using the following variables :
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| 241 |
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\begin{itemize}
|
| 242 |
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\item a
|
| 243 |
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\item b
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| 244 |
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\item c
|
| 245 |
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\end{itemize}
|
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| 247 |
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Cuts on these guys? Show correlation plot to motivate BDT?
|
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| 249 |
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We train and validate the BDT using statistically independet subsets of events from the trainging samples described above. Training and testing is performed separately for six $\eta/p_{T}$ bins. A cut on the resulting BDT discrminant translates to a specific combination of signal and background efficiency. The locus of signal/background efficiences defines the discrimination performance ({\it i.e:} ROC) curves shown in Figure~\ref{fig:ROC}.
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%-------------------------------------------------
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| 252 |
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\begin{figure}[tbp]
|
| 253 |
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\begin{center}
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| 254 |
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\includegraphics[width=0.4\linewidth]{figs/br.png}
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| 255 |
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\includegraphics[width=0.4\linewidth]{figs/br.png}
|
| 256 |
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\caption{$\gamma_d$ Branching Ratios.\label{fig:BRs} }
|
| 257 |
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\end{center}
|
| 258 |
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\end{figure}
|
| 259 |
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%-------------------------------------------------
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| 260 |
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| 261 |
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The plots in Figure~\ref{fig:ROC} include efficiency points corresponding to the ``Cuts in Categories'' (CIC) loose, medium and tight working points defined in~\cite{ref:CIC}. BDT and CIC performances are comparable in the high $p_{T}$ bins, while the BDT clearly outperforms CIC at low $p_{T}$. We define a set of loose, medium and tight BDT working points for the analysis by stipulating a background effiency equivalent to that of the corresponding CIC point. BDT and CIC signal efficiences for the various working points are compared in Table~\ref{tab:WPs}.
|
| 262 |
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| 263 |
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%-------------------------------------------------
|
| 264 |
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\begin{table}[tbh]
|
| 265 |
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\begin{center}
|
| 266 |
|
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\begin{tabular}{|c|c|c|}
|
| 267 |
|
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\hline
|
| 268 |
|
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\multicolumn{3}{|c|}{Relative PF Isolation} \\
|
| 269 |
|
|
\hline
|
| 270 |
|
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$\rm p_{T}$ & $|\eta|$ & $\rm pfIso03/p_{T}$ \\
|
| 271 |
|
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\hline
|
| 272 |
|
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$> 20$ & $< 1.48$ & $ < 0.13 $ \\
|
| 273 |
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$> 20$ & $> 1.48$ & $ < 0.09 $ \\
|
| 274 |
|
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$< 20$ & $< 1.48$ & $ < 0.06 $ \\
|
| 275 |
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$< 20$ & $> 1.48$ & $ < 0.05 $ \\
|
| 276 |
|
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\hline
|
| 277 |
|
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\end{tabular}
|
| 278 |
|
|
\caption{Working Points and Efficiencies.\label{tab:WPs}}
|
| 279 |
|
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\end{center}
|
| 280 |
|
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\end{table}
|
| 281 |
|
|
%-------------------------------------------------
|
| 282 |
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|
|
| 283 |
|
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The efficiencies shown above are determined with respect to the candidate definition in Table~\ref{tab:}. While these efficiencies are useful for performance comparisons, efficiencies for the analysis must be taken with respect to reconstructed GSF electron electrons. As with muons, we calculate electron identification/isolation efficiencies for the anlaysis using Tag \& Probe. Figures~\ref{fig:} and ~\ref{fig:} shows fit results for our tight MV selection in the central region. The complete set of offline selection fits from Tag \& Probe are included in Appendix~\ref{app:}.
|
| 284 |
|
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|
| 285 |
|
|
%-------------------------------------------------
|
| 286 |
|
|
\begin{figure}[htb]
|
| 287 |
|
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\begin{center}
|
| 288 |
|
|
\includegraphics[width=0.5\linewidth]{figs/eleeff/Run2011A_EleWPEffTP-tight/default/plots/passetapt_6.png}
|
| 289 |
|
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\includegraphics[width=0.5\linewidth]{figs/eleeff/Run2011A_EleWPEffTP-tight/default/plots/failetapt_6.png}
|
| 290 |
|
|
\caption{Tag \& Probe fit results for tight offline selection for high-$p_{T}$ electrons in the barrel.\label{fig:ekeTPhighpt} }
|
| 291 |
|
|
\end{center}
|
| 292 |
|
|
\end{figure}
|
| 293 |
|
|
%-------------------------------------------------
|
| 294 |
|
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%-------------------------------------------------
|
| 295 |
|
|
\begin{figure}[htb]
|
| 296 |
|
|
\begin{center}
|
| 297 |
|
|
\includegraphics[width=0.5\linewidth]{figs/eleeff/Run2011A_EleWPEffTP-tight/default/plots/passetapt_0.png}
|
| 298 |
|
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\includegraphics[width=0.5\linewidth]{figs/eleeff/Run2011A_EleWPEffTP-tight/default/plots/failetapt_0.png}
|
| 299 |
|
|
\caption{Tag \& Probe fit results for tight offline selection for low-$p_{T}$ electrons in the barrel.\label{fig:eleTPlowpt} }
|
| 300 |
|
|
\end{center}
|
| 301 |
|
|
\end{figure}
|
| 302 |
|
|
%-------------------------------------------------
|
| 303 |
|
|
|
| 304 |
|
|
We divide the binned data efficiences with results from MC to obtain offline efficiency scale factors, $f_{ID,Iso}$ in Tables~\ref{tab:eleSFtight}-~\ref{tab:eleSFloose}. Figures~\ref{fig:eleSFtight}-~\ref{fig:eleSFloose} shows plots of the $f_{ID,Iso}$ as a function of $p_{T}$ for the central and forward regions.
|
| 305 |
|
|
|
| 306 |
|
|
%figs/eleeff/Run2011A_EleWPEffTP-tight/default/extra/sf_table.tex
|
| 307 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 308 |
|
|
\begin{table}[!ht]
|
| 309 |
|
|
\begin{center}
|
| 310 |
|
|
\begin{tabular}{c|c|c}
|
| 311 |
|
|
\hline & $0 < |\eta| < 1.5$ & $1.5 < |\eta| < 2.5$ \\
|
| 312 |
|
|
\hline
|
| 313 |
|
|
$ 7 < p_T < 10$ & $1.3279 \pm 0.1095$ & $1.0983 \pm 0.0495$ \\
|
| 314 |
|
|
$ 10 < p_T < 15$ & $0.5121 \pm 0.0067$ & $1.8054 \pm 0.0101$ \\
|
| 315 |
|
|
$ 15 < p_T < 20$ & $1.0371 \pm 0.0090$ & $1.0791 \pm 0.0110$ \\
|
| 316 |
|
|
$ 20 < p_T < 30$ & $0.9782 \pm 0.0013$ & $1.0107 \pm 0.0022$ \\
|
| 317 |
|
|
$ 30 < p_T < 40$ & $0.9973 \pm 0.0002$ & $1.0106 \pm 0.0047$ \\
|
| 318 |
|
|
$ 40 < p_T < 50$ & $0.9947 \pm 0.0002$ & $1.0020 \pm 0.0027$ \\
|
| 319 |
|
|
$ 50 < p_T < 100$ & $0.9841 \pm 0.0005$ & $1.0003 \pm 0.0007$ \\
|
| 320 |
|
|
$100 < p_T < 7000$ & $1.0040 \pm 0.0041$ & $1.0114 \pm 0.0297$ \\
|
| 321 |
|
|
\hline
|
| 322 |
|
|
\end{tabular}
|
| 323 |
|
|
\caption{Write some stuff}
|
| 324 |
|
|
\label{tab:eleSFtight}
|
| 325 |
|
|
\end{center}
|
| 326 |
|
|
\end{table}
|
| 327 |
|
|
|
| 328 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 329 |
|
|
|
| 330 |
|
|
%-------------------------------------------------
|
| 331 |
|
|
\begin{figure}[htb]
|
| 332 |
|
|
\begin{center}
|
| 333 |
|
|
\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta0.png}
|
| 334 |
|
|
\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta1.png}
|
| 335 |
|
|
\caption{SF for ele tight. Cureently muon plots ...}\label{fig:eleSFtight}
|
| 336 |
|
|
\end{center}
|
| 337 |
|
|
\end{figure}
|
| 338 |
|
|
%-------------------------------------------------
|
| 339 |
|
|
|
| 340 |
|
|
%eleeff/Run2011A_EleWPEffTP-medium/default/extra/sf_table.tex
|
| 341 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 342 |
|
|
\begin{table}[!ht]
|
| 343 |
|
|
\begin{center}
|
| 344 |
|
|
\begin{tabular}{c|c|c}
|
| 345 |
|
|
\hline & $0 < |\eta| < 1.5$ & $1.5 < |\eta| < 2.5$ \\
|
| 346 |
|
|
\hline
|
| 347 |
|
|
$ 7 < p_T < 10$ & $1.3015 \pm 0.1110$ & $1.0341 \pm 0.0437$ \\
|
| 348 |
|
|
$ 10 < p_T < 15$ & $1.3508 \pm 0.0100$ & $0.7119 \pm 0.0103$ \\
|
| 349 |
|
|
$ 15 < p_T < 20$ & $1.0252 \pm 0.0146$ & $0.9065 \pm 0.0061$ \\
|
| 350 |
|
|
$ 20 < p_T < 30$ & $0.9808 \pm 0.0003$ & $1.0214 \pm 0.0030$ \\
|
| 351 |
|
|
$ 30 < p_T < 40$ & $0.9994 \pm 0.0005$ & $1.0092 \pm 0.0003$ \\
|
| 352 |
|
|
$ 40 < p_T < 50$ & $0.9988 \pm 0.0002$ & $1.0016 \pm 0.0006$ \\
|
| 353 |
|
|
$ 50 < p_T < 100$ & $0.9868 \pm 0.0009$ & $0.9967 \pm 0.0011$ \\
|
| 354 |
|
|
$100 < p_T < 7000$ & $0.9828 \pm 0.0028$ & $1.0144 \pm 0.0024$ \\
|
| 355 |
|
|
\hline
|
| 356 |
|
|
\end{tabular}
|
| 357 |
|
|
\caption{Write some stuff}
|
| 358 |
|
|
\label{tab:mytable}
|
| 359 |
|
|
\end{center}
|
| 360 |
|
|
\end{table}
|
| 361 |
|
|
|
| 362 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 363 |
|
|
|
| 364 |
|
|
%-------------------------------------------------
|
| 365 |
|
|
\begin{figure}[htb]
|
| 366 |
|
|
\begin{center}
|
| 367 |
|
|
\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta0.png}
|
| 368 |
|
|
\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta1.png}
|
| 369 |
|
|
\caption{SF for ele medium. Cureently muon plots ...}\label{fig:eleSFmedium}
|
| 370 |
|
|
\end{center}
|
| 371 |
|
|
\end{figure}
|
| 372 |
|
|
%-------------------------------------------------
|
| 373 |
|
|
|
| 374 |
|
|
%figs/eleeff/Run2011A_EleWPEffTP-loose/default/extra/sf_table.tex
|
| 375 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 376 |
|
|
\begin{table}[!ht]
|
| 377 |
|
|
\begin{center}
|
| 378 |
|
|
\begin{tabular}{c|c|c}
|
| 379 |
|
|
\hline & $0 < |\eta| < 1.5$ & $1.5 < |\eta| < 2.5$ \\
|
| 380 |
|
|
\hline
|
| 381 |
|
|
$ 7 < p_T < 10$ & $1.2642 \pm 0.1061$ & $1.0442 \pm 0.0398$ \\
|
| 382 |
|
|
$ 10 < p_T < 15$ & $1.1143 \pm 0.0254$ & $1.1013 \pm 0.0170$ \\
|
| 383 |
|
|
$ 15 < p_T < 20$ & $1.0309 \pm 0.0094$ & $1.0877 \pm 0.0065$ \\
|
| 384 |
|
|
$ 20 < p_T < 30$ & $0.9841 \pm 0.0011$ & $1.0134 \pm 0.0164$ \\
|
| 385 |
|
|
$ 30 < p_T < 40$ & $0.9982 \pm 0.0004$ & $1.0088 \pm 0.0004$ \\
|
| 386 |
|
|
$ 40 < p_T < 50$ & $0.9991 \pm 0.0002$ & $1.0014 \pm 0.0006$ \\
|
| 387 |
|
|
$ 50 < p_T < 100$ & $0.9996 \pm 0.0006$ & $1.0006 \pm 0.0004$ \\
|
| 388 |
|
|
$100 < p_T < 7000$ & $0.9946 \pm 0.0045$ & $1.0134 \pm 0.0067$ \\
|
| 389 |
|
|
\hline
|
| 390 |
|
|
\end{tabular}
|
| 391 |
|
|
\caption{Write some stuff}
|
| 392 |
|
|
\label{tab:mytable}
|
| 393 |
|
|
\end{center}
|
| 394 |
|
|
\end{table}
|
| 395 |
|
|
|
| 396 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 397 |
|
|
|
| 398 |
|
|
%-------------------------------------------------
|
| 399 |
|
|
\begin{figure}[htb]
|
| 400 |
|
|
\begin{center}
|
| 401 |
|
|
\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta0.png}
|
| 402 |
|
|
\includegraphics[width=0.4\linewidth]{figs/mueff/Run2011A_MuonWPEffTP/default/extra/scalept_eta1.png}
|
| 403 |
|
|
\caption{SF for ele loose. Cureently muon plots ...}\label{fig:eleSFloose}
|
| 404 |
|
|
\end{center}
|
| 405 |
|
|
\end{figure}
|
| 406 |
|
|
%-------------------------------------------------
|
| 407 |
|
|
|
| 408 |
|
|
Identification and isolation efficiencies for non-prompt and instrumental electron backgrounds are also evaluated with data. We defer further discussion of this to Section~{sec:}
|
| 409 |
|
|
|
| 410 |
|
|
%__________________________________________________
|
| 411 |
|
|
\subsubsection{Online Selection}\label{sec:eleOnline}
|
| 412 |
|
|
%__________________________________________________
|
| 413 |
|
|
Per-leg efficiencies for the various electron trigger efficiencies are calculated in the same manner as was described in Section~\ref{sec:muOnline}. Table~\ref{tab:eleTPtrig} lists the luminosity-averaged efficiencies defined with respect to selected offline electrons in bins of $p_{T}$ and $\eta$.
|
| 414 |
|
|
|
| 415 |
|
|
%figs/mueff/Run2011A_HLT_Mu13_Mu8_trailing/default/extra/dat_eff_table.tex
|
| 416 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 417 |
|
|
\begin{table}[!ht]
|
| 418 |
|
|
\begin{center}
|
| 419 |
|
|
\begin{tabular}{c|c|c|c|c}
|
| 420 |
|
|
\hline & $0 < |\eta| < 0.8$ & $0.8 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.1$ & $2.1 < |\eta| < 2.4$ \\
|
| 421 |
|
|
\hline
|
| 422 |
|
|
$ 5 < p_T < 10$ & $0.6916 \pm 0.0337$ & $0.5872 \pm 0.0305$ & $0.5293 \pm 0.0135$ & $0.4288 \pm 0.0217$ \\
|
| 423 |
|
|
$ 10 < p_T < 15$ & $0.9685 \pm 0.0053$ & $0.9514 \pm 0.0064$ & $0.9507 \pm 0.0038$ & $0.9048 \pm 0.0090$ \\
|
| 424 |
|
|
$ 15 < p_T < 20$ & $0.9700 \pm 0.0025$ & $0.9584 \pm 0.0036$ & $0.9589 \pm 0.0023$ & $0.9169 \pm 0.0058$ \\
|
| 425 |
|
|
$ 20 < p_T < 30$ & $0.9671 \pm 0.0009$ & $0.9573 \pm 0.0015$ & $0.9586 \pm 0.0010$ & $0.9154 \pm 0.0026$ \\
|
| 426 |
|
|
$ 30 < p_T < 40$ & $0.9691 \pm 0.0005$ & $0.9562 \pm 0.0010$ & $0.9576 \pm 0.0007$ & $0.9129 \pm 0.0020$ \\
|
| 427 |
|
|
$ 40 < p_T < 50$ & $0.9691 \pm 0.0005$ & $0.9582 \pm 0.0009$ & $0.9574 \pm 0.0007$ & $0.9129 \pm 0.0021$ \\
|
| 428 |
|
|
$ 50 < p_T < 100$ & $0.9694 \pm 0.0009$ & $0.9561 \pm 0.0016$ & $0.9543 \pm 0.0012$ & $0.9058 \pm 0.0039$ \\
|
| 429 |
|
|
$100 < p_T < 7000$ & $0.9662 \pm 0.0054$ & $0.9529 \pm 0.0096$ & $0.9443 \pm 0.0083$ & $0.9577 \pm 0.0394$ \\
|
| 430 |
|
|
\hline
|
| 431 |
|
|
\end{tabular}
|
| 432 |
|
|
\caption{Write some stuff}
|
| 433 |
|
|
\label{tab:mytable}
|
| 434 |
|
|
\end{center}
|
| 435 |
|
|
\end{table}
|
| 436 |
|
|
|
| 437 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 438 |
|
|
|
| 439 |
|
|
%figs/mueff/Run2011A_HLT_Mu13_Mu8_trailing/default/extra/dat_eff_table.tex
|
| 440 |
|
|
%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
|
| 441 |
|
|
\begin{table}[!ht]
|
| 442 |
|
|
\begin{center}
|
| 443 |
|
|
\begin{tabular}{c|c|c|c|c}
|
| 444 |
|
|
\hline & $0 < |\eta| < 0.8$ & $0.8 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.1$ & $2.1 < |\eta| < 2.4$ \\
|
| 445 |
|
|
\hline
|
| 446 |
|
|
$ 5 < p_T < 10$ & $0.6916 \pm 0.0337$ & $0.5872 \pm 0.0305$ & $0.5293 \pm 0.0135$ & $0.4288 \pm 0.0217$ \\
|
| 447 |
|
|
$ 10 < p_T < 15$ & $0.9685 \pm 0.0053$ & $0.9514 \pm 0.0064$ & $0.9507 \pm 0.0038$ & $0.9048 \pm 0.0090$ \\
|
| 448 |
|
|
$ 15 < p_T < 20$ & $0.9700 \pm 0.0025$ & $0.9584 \pm 0.0036$ & $0.9589 \pm 0.0023$ & $0.9169 \pm 0.0058$ \\
|
| 449 |
|
|
$ 20 < p_T < 30$ & $0.9671 \pm 0.0009$ & $0.9573 \pm 0.0015$ & $0.9586 \pm 0.0010$ & $0.9154 \pm 0.0026$ \\
|
| 450 |
|
|
$ 30 < p_T < 40$ & $0.9691 \pm 0.0005$ & $0.9562 \pm 0.0010$ & $0.9576 \pm 0.0007$ & $0.9129 \pm 0.0020$ \\
|
| 451 |
|
|
$ 40 < p_T < 50$ & $0.9691 \pm 0.0005$ & $0.9582 \pm 0.0009$ & $0.9574 \pm 0.0007$ & $0.9129 \pm 0.0021$ \\
|
| 452 |
|
|
$ 50 < p_T < 100$ & $0.9694 \pm 0.0009$ & $0.9561 \pm 0.0016$ & $0.9543 \pm 0.0012$ & $0.9058 \pm 0.0039$ \\
|
| 453 |
|
|
$100 < p_T < 7000$ & $0.9662 \pm 0.0054$ & $0.9529 \pm 0.0096$ & $0.9443 \pm 0.0083$ & $0.9577 \pm 0.0394$ \\
|
| 454 |
|
|
\hline
|
| 455 |
|
|
\end{tabular}
|
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\caption{Write some stuff}
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\label{tab:mytable}
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\end{center}
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| 459 |
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\end{table}
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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%figs/mueff/Run2011A_HLT_Mu13_Mu8_trailing/default/extra/dat_eff_table.tex
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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\begin{table}[!ht]
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\begin{center}
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\begin{tabular}{c|c|c|c|c}
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\hline & $0 < |\eta| < 0.8$ & $0.8 < |\eta| < 1.2$ & $1.2 < |\eta| < 2.1$ & $2.1 < |\eta| < 2.4$ \\
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\hline
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$ 5 < p_T < 10$ & $0.6916 \pm 0.0337$ & $0.5872 \pm 0.0305$ & $0.5293 \pm 0.0135$ & $0.4288 \pm 0.0217$ \\
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$ 10 < p_T < 15$ & $0.9685 \pm 0.0053$ & $0.9514 \pm 0.0064$ & $0.9507 \pm 0.0038$ & $0.9048 \pm 0.0090$ \\
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$ 15 < p_T < 20$ & $0.9700 \pm 0.0025$ & $0.9584 \pm 0.0036$ & $0.9589 \pm 0.0023$ & $0.9169 \pm 0.0058$ \\
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$ 20 < p_T < 30$ & $0.9671 \pm 0.0009$ & $0.9573 \pm 0.0015$ & $0.9586 \pm 0.0010$ & $0.9154 \pm 0.0026$ \\
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$ 30 < p_T < 40$ & $0.9691 \pm 0.0005$ & $0.9562 \pm 0.0010$ & $0.9576 \pm 0.0007$ & $0.9129 \pm 0.0020$ \\
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$ 40 < p_T < 50$ & $0.9691 \pm 0.0005$ & $0.9582 \pm 0.0009$ & $0.9574 \pm 0.0007$ & $0.9129 \pm 0.0021$ \\
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$ 50 < p_T < 100$ & $0.9694 \pm 0.0009$ & $0.9561 \pm 0.0016$ & $0.9543 \pm 0.0012$ & $0.9058 \pm 0.0039$ \\
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$100 < p_T < 7000$ & $0.9662 \pm 0.0054$ & $0.9529 \pm 0.0096$ & $0.9443 \pm 0.0083$ & $0.9577 \pm 0.0394$ \\
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\hline
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| 480 |
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\end{tabular}
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\caption{Write some stuff}
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\label{tab:mytable}
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\end{center}
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\end{table}
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%KSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKSKS
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