version 1.1, 2011/05/18 21:30:40
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version 1.2, 2011/06/01 01:20:54
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Line 60 in Sections \ref{sub:datasample} and \re
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Line 60 in Sections \ref{sub:datasample} and \re
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\subsection{\label{app:alljets_trig_eff}Trigger Efficiencies for $alljets$} |
%\subsection{\label{app:alljets_trig_eff}Trigger Efficiencies for $alljets$} |
\begin{figure}[h] |
%\begin{figure}[h] |
\includegraphics[scale=0.28]{trigger_eff/alljets0eff} |
%\includegraphics[scale=0.28]{trigger_eff/alljets0eff} |
\includegraphics[scale=0.28]{trigger_eff/alljets1eff} |
%\includegraphics[scale=0.28]{trigger_eff/alljets1eff} |
\includegraphics[scale=0.28]{trigger_eff/alljets2eff} |
%\includegraphics[scale=0.28]{trigger_eff/alljets2eff} |
\includegraphics[scale=0.28]{trigger_eff/alljets3eff} |
%\includegraphics[scale=0.28]{trigger_eff/alljets3eff} |
\caption{Trigger Efficiencies for $alljets$.} |
%\caption{Trigger Efficiencies for $alljets$.} |
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
%\end{figure} |
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\subsection{\label{app:Wjjjets_trig_eff}Trigger Efficiencies for $Wjj + jets$} |
\subsection{\label{app:Wjjjets_trig_eff}Trigger Efficiencies for $Wjj + jets$} |
Line 83 in Sections \ref{sub:datasample} and \re
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Line 83 in Sections \ref{sub:datasample} and \re
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\subsection{\label{app:Wbbjets_trig_eff}Trigger Efficiencies for $Wbb + jets$} |
\subsection{\label{app:Wbbjets_trig_eff}Trigger Efficiencies for $Wbb + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 96 in Sections \ref{sub:datasample} and \re
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Line 96 in Sections \ref{sub:datasample} and \re
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\subsection{\label{app:Wccjets_trig_eff}Trigger Efficiencies for $Wcc + jets$} |
\subsection{\label{app:Wccjets_trig_eff}Trigger Efficiencies for $Wcc + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 109 in Sections \ref{sub:datasample} and \re
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Line 110 in Sections \ref{sub:datasample} and \re
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\end{figure} |
\end{figure} |
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\subsection{\label{app:Zlpeejets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow ee + jj + jets$} |
\subsection{\label{app:Zlpeejets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow ee + jj + jets$} |
Line 124 in Sections \ref{sub:datasample} and \re
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Line 125 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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\subsection{\label{app:Zbbeejets_trig_eff}Trigger Efficiencies for $Zbb + jets \rightarrow ee + bb + jets$} |
\subsection{\label{app:Zbbeejets_trig_eff}Trigger Efficiencies for $Zbb + jets \rightarrow ee + bb + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 136 in Sections \ref{sub:datasample} and \re
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Line 138 in Sections \ref{sub:datasample} and \re
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\subsection{\label{app:Zcceejets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow ee + cc + jets$} |
\subsection{\label{app:Zcceejets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow ee + cc + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 149 in Sections \ref{sub:datasample} and \re
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Line 151 in Sections \ref{sub:datasample} and \re
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\subsection{\label{app:Zlpmumujets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow \mu\mu + jj + jets$} |
\subsection{\label{app:Zlpmumujets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow \mu\mu + jj + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 162 in Sections \ref{sub:datasample} and \re
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Line 165 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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Line 177 in Sections \ref{sub:datasample} and \re
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Line 180 in Sections \ref{sub:datasample} and \re
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\subsection{\label{app:Zccmumujets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow \mu\mu + cc + jets$} |
\subsection{\label{app:Zccmumujets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow \mu\mu + cc + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 189 in Sections \ref{sub:datasample} and \re
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Line 193 in Sections \ref{sub:datasample} and \re
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\subsection{\label{app:Zlptautaujets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow \tau\tau + jj + jets$} |
\subsection{\label{app:Zlptautaujets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow \tau\tau + jj + jets$} |
Line 204 in Sections \ref{sub:datasample} and \re
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Line 208 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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\subsection{\label{app:Zbbtautaujets_trig_eff}Trigger Efficiencies for $Zbb + jets \rightarrow \tau\tau + bb + jets$} |
\subsection{\label{app:Zbbtautaujets_trig_eff}Trigger Efficiencies for $Zbb + jets \rightarrow \tau\tau + bb + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
Line 217 in Sections \ref{sub:datasample} and \re
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Line 222 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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\subsection{\label{app:Zcctautaujets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow \tau\tau + cc + jets$} |
\subsection{\label{app:Zcctautaujets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow \tau\tau + cc + jets$} |
Line 232 in Sections \ref{sub:datasample} and \re
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Line 236 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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\subsection{\label{app:Zlpnunuets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow \nu\nu + jj + jets$} |
\subsection{\label{app:Zlpnunuets_trig_eff}Trigger Efficiencies for $Zjj + jets \rightarrow \nu\nu + jj + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
\includegraphics[scale=0.28]{trigger_eff/Zlpnunu0eff} |
\includegraphics[scale=0.28]{trigger_eff/Zlpnunu0eff} |
Line 244 in Sections \ref{sub:datasample} and \re
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Line 251 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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\subsection{\label{app:Zbbnunujets_trig_eff}Trigger Efficiencies for $Zbb + jets \rightarrow \nu\nu + bb + jets$} |
\subsection{\label{app:Zbbnunujets_trig_eff}Trigger Efficiencies for $Zbb + jets \rightarrow \nu\nu + bb + jets$} |
Line 259 in Sections \ref{sub:datasample} and \re
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Line 265 in Sections \ref{sub:datasample} and \re
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\end{figure} |
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\subsection{\label{app:Zccnunujets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow \nu\nu + cc + jets$} |
\subsection{\label{app:Zccnunujets_trig_eff}Trigger Efficiencies for $Zcc + jets \rightarrow \nu\nu + cc + jets$} |
\begin{figure}[h] |
\begin{figure}[h] |
\includegraphics[scale=0.28]{trigger_eff/Zccnunu0eff} |
\includegraphics[scale=0.28]{trigger_eff/Zccnunu0eff} |
Line 271 in Sections \ref{sub:datasample} and \re
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Line 280 in Sections \ref{sub:datasample} and \re
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%\newpage |
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\section{\label{app:turnon} Turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\section{\label{app:turnon} Turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\noindent Here it is shown all turn-on curves for all three levels of the trigger JT2$\_$3JT15L$\_$IP$\_$VX |
\noindent Here are shown all turn-on curves for all three levels of the trigger JT2$\_$3JT15L$\_$IP$\_$VX |
as described in Section \ref{sec:trig_param}. |
as described in Section \ref{sec:trig_param}. |
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\subsection{\label{app:jetturnon_L1} Level 1 jet turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:jetturnon_L1} Level 1 jet turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 292 as described in Section \ref{sec:trig_pa
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Line 301 as described in Section \ref{sec:trig_pa
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\label{fig:l1jetslo} |
\label{fig:l1jetslo} |
\end{figure} |
\end{figure} |
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\newpage |
%\newpage |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 316 as described in Section \ref{sec:trig_pa
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Line 325 as described in Section \ref{sec:trig_pa
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\newpage |
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\subsection{\label{app:jetturnon_L2} Level 2 jet turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:jetturnon_L2} Level 2 jet turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 328 as described in Section \ref{sec:trig_pa
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Line 337 as described in Section \ref{sec:trig_pa
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\end{figure} |
\end{figure} |
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\subsection{\label{app:htturnon_L2} Level 2 $H_{T}$ turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:htturnon_L2} Level 2 $H_{T}$ turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 357 as described in Section \ref{sec:trig_pa
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Line 366 as described in Section \ref{sec:trig_pa
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\newpage |
\newpage |
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\subsection{\label{app:mhtturnon_L2} Level 2 $\not\!\!E_{T}$ turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:mhtturnon_L2} Level 2 $\not\!\!E_{T}$ turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 388 as described in Section \ref{sec:trig_pa
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Line 397 as described in Section \ref{sec:trig_pa
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\newpage |
\newpage |
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\subsection{\label{app:spherturnon_L2} Level 2 Sphericity turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:spherturnon_L2} Level 2 Sphericity turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 400 as described in Section \ref{sec:trig_pa
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Line 409 as described in Section \ref{sec:trig_pa
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\end{figure} |
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\subsection{\label{app:sttip_L2} Level 2 STTIP turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:sttip_L2} Level 2 STTIP turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 428 as described in Section \ref{sec:trig_pa
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Line 437 as described in Section \ref{sec:trig_pa
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\newpage |
\newpage |
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\subsection{\label{app:jetturnon_L3} Level 3 jet turn on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
\subsection{\label{app:jetturnon_L3} Level 3 jet turn-on curves for trigger JT2$\_$3JT15L$\_$IP$\_$VX} |
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\begin{figure}[h] |
\begin{figure}[h] |
\centering |
\centering |
Line 542 zero (red) or one (black) offline NN (TI
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Line 551 zero (red) or one (black) offline NN (TI
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\section{\label{app:discri_var}Discriminant variables} |
\section{\label{app:discri_var}Discriminant variables} |
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\noindent This appendix shows normalized plots of signal and background samples |
\noindent This appendix shows normalized plots of signal and background samples |
for all discriminant variables tested for this analysis. |
for all discriminant variables tested AND/OR used in this analysis. |
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\begin{figure}[h] |
\begin{figure}[h] |
\includegraphics[scale=0.30]{plots/metl_allEW.eps} |
\includegraphics[scale=0.30]{plots/metl_allEW.eps} |
Line 564 for all discriminant variables tested fo
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Line 573 for all discriminant variables tested fo
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\section{\label{app:set_opt}Set optimization} |
\section{\label{app:set_opt}Set optimization} |
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\noindent In this appendix it is shown plots of the figure of merit (Equation \ref{merit}) used to |
\noindent This appendix shows plots of the figure of merit (Eq. \ref{merit}) used to |
perform the NN variables set optimization as described in Section \ref{sub:NN-optimization}. |
perform the NN variables set optimization as described in Section \ref{sub:NN-optimization}. |
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\begin{figure}[b] |
\begin{figure}[b] |
Line 583 perform the NN variables set optimizatio
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Line 592 perform the NN variables set optimizatio
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\includegraphics[scale=0.27]{SetOpt/ensemble13A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble13A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble14A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble14A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble15A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble15A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble16A-40} |
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\includegraphics[scale=0.27]{SetOpt/ensemble17A-40} |
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\includegraphics[scale=0.27]{SetOpt/ensemble18A-40} |
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\caption{Sets of NN inputs variables with $\not\!\! E_{T}$ significance $>$ 4.0 for set optimization.} |
\caption{Sets of NN inputs variables with $\not\!\! E_{T}$ significance $>$ 4.0 for set optimization.} |
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%\label{fig:variables_type2_bveto} |
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\end{figure} |
\end{figure} |
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\section{\label{app:set_opt}Set optimization continued} |
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\noindent In this appendix it is shown plots of the figure of merit (Equation \ref{merit}) used to |
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perform the NN variables set optimization as described in Section \ref{sub:NN-optimization}. |
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\begin{figure}[b] |
\begin{figure}[b] |
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\includegraphics[scale=0.27]{SetOpt/ensemble16A-40} |
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\includegraphics[scale=0.27]{SetOpt/ensemble17A-40} |
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\includegraphics[scale=0.27]{SetOpt/ensemble18A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble19A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble19A-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble20-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble20-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble21-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble21-40} |
Line 615 perform the NN variables set optimizatio
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Line 616 perform the NN variables set optimizatio
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\includegraphics[scale=0.27]{SetOpt/ensemble31-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble31-40} |
\includegraphics[scale=0.27]{SetOpt/ensembleMS-40} |
\includegraphics[scale=0.27]{SetOpt/ensembleMS-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble33-40} |
\includegraphics[scale=0.27]{SetOpt/ensemble33-40} |
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\caption{Sets of NN inputs variables with $\not\!\! E_{T}$ significance $>$ 4.0 for set optimization.} |
\caption{Sets of NN inputs variables with $\not\!\! E_{T}$ significance $>$ 4.0 for set optimization.} |
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%\label{fig:variables_type2_bveto} |
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\end{figure} |
\end{figure} |
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\section{\label{app:metl_opt}$\not\!\! E_{T}$ significance optimization} |
\section{\label{app:metl_opt}$\not\!\! E_{T}$ significance optimization} |
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Line 638 perform the NN variables set optimizatio
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Line 636 perform the NN variables set optimizatio
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%\includegraphics[scale=0.27]{SetOpt/pull9-50} |
%\includegraphics[scale=0.27]{SetOpt/pull9-50} |
%\includegraphics[scale=0.27]{SetOpt/pull9-55} |
%\includegraphics[scale=0.27]{SetOpt/pull9-55} |
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\caption{Variation of $\not\!\! E_{T}$ significance cut for Set XXXII = metl, {$H_{T}$}, topmassl, aplan, sqrts.} |
\caption{Variation of $\not\!\! E_{T}$ significance cut for Set 32 = METsig, {$H_{T}$}, topmassl, aplan, Mjjtau.} |
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%\label{fig:variables_type2_bveto} |
%\label{fig:variables_type2_bveto} |
\end{figure} |
\end{figure} |
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\section{\label{app:xsec_nocont}Cross section measurements when signal contamination is ignored} |
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\noindent In this appendix it is shown plots of the figure of merit (Equation \ref{merit}) used to |
\section{\label{app:Topo}Topological variables} |
perform the NN variables set optimization as described in Section \ref{sub:NN-optimization}. |
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In this section we show distributions of the topological variables used in this analysis in order to |
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check the agreement between data and Monte Carlo in all cases. Plots are separated into two sets: |
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signal sample and b-veto control plots. |
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\subsection{\label{sub:signalplots}Signal sample plots} |
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As stated in Section \ref{sub:Results-of-the} the signal sample is the one we used to perform |
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the measurement. The cuts here consist of $NN(\tau)>0.90$ for taus types 1 and 2, |
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$NN(\tau)>0.95$ for taus type 3, and at least one NN b-tag. This sample contains |
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a good amount of $t\bar{t}$ (19.7\% for types 1 and 2 and 8.6\% for type 3) as shown in Tables |
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\ref{b_and_tau_type1_2} and \ref{b_and_tau_type_3}. Next we show the plots of |
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the topological variables for this sample. The error bars represent the statistical uncertainties only. |
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\begin{figure}[h] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/aplan} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/ht} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/aplan} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/ht} |
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\caption{Distributions for aplanarity and $H_T$ in the signal sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
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indicating the level of agreement.} |
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%\label{fig:variables_type2_Std} |
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\end{figure} |
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\newpage |
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\begin{figure}[t] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/cent} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/spher} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/cent} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/spher} |
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\caption{Distributions for centrality and sphericity in the signal sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
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indicating the level of agreement.} |
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%\label{fig:variables_type2_Std} |
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\end{figure} |
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\begin{figure}[b] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/sqrts} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/costhetastar} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/sqrts} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/costhetastar} |
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\caption{Distributions for $M_{jj\tau}$ and $cos(\theta^{*})$ in the signal sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
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indicating the level of agreement.} |
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%\label{fig:variables_type2_Std} |
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\end{figure} |
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|
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\begin{figure}[t] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/metl} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeI_II/met} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/metl} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/Std_TypeIII/met} |
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|
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\caption{Distributions for \met and $\not\!\! E_{T}$ significance significance in the signal sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
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indicating the level of agreement.} |
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%\label{fig:variables_type2_Std} |
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\end{figure} |
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\clearpage |
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|
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\subsection{\label{app:signalplots}b-veto control sample plots} |
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The b-veto sample is the one used to test our QCD modelling \ref{sub:Results-of-the}. As it requires no |
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NN b-tags it is QCD-dominated and has a tiny amount of $t\bar{t}$ (1.9\% for types 1 and 2 and 0.7\% for type 3) |
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as shown in Tables \ref{bveto_type1_2} and \ref{b_veto_type_3}. It consists of an ideal sample to make sure |
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that the QCD modelling works and can be used in the measurement. Next we show the plots of |
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the topological variables for this sample. The error bars represent the statistical uncertainties only. |
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|
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\begin{figure}[h] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/aplan} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/ht} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/aplan} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/ht} |
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|
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\caption{Distributions for aplanarity and $H_T$ in the $b$-veto sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
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indicating the level of agreement.} |
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|
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%\label{fig:variables_type2_bveto} |
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\end{figure} |
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\newpage |
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|
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\begin{figure}[t] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/cent} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/spher} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/cent} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/spher} |
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|
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\caption{Distributions for centrality and sphericity in the $b$-veto sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
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indicating the level of agreement.} |
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|
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%\label{fig:variables_type2_bveto} |
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\end{figure} |
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|
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\begin{figure}[b] |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/sqrts} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/costhetastar} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/sqrts} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/costhetastar} |
|
|
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\caption{Distributions for $M_{jj\tau}$ and $cos(\theta^{*})$ in the $b$-veto sample for |
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tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
|
indicating the level of agreement.} |
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|
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%\label{fig:variables_type2_bveto} |
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\end{figure} |
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|
|
|
|
\begin{figure}[t] |
|
\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/metl} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeI_II/met} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/metl} |
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\includegraphics[scale=0.34]{CONTROLPLOTS/bveto_TypeIII/met} |
|
|
|
\caption{Distributions for \met and $\not\!\! E_{T}$ significance significance in the $b$-veto sample for |
|
tau of Types 1 and 2 (top) and taus of Type 3 (botton). The Kolmogorov-Smirnov (KS) probabilities are shown, |
|
indicating the level of agreement.} |
|
|
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%\label{fig:variables_type2_bveto} |
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\end{figure} |
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\clearpage |
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|
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\section{\label{app:xsec_nocont}Cross measurement without accounting for signal contamination in the background sample.} |
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\noindent In this appendix we show results of cross section measurements for both NNelec $>$ 0.9 and no NNelec cut |
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applied when the signal contamination in the loose-tight tau region is not taken into account. They serve as a |
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complement to the discussion presented in Section \ref{sub:xsect}. |
|
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\subsection{\label{sub:xsectA}Results for Set = metl, {$H_{T}$}, topmassl, aplan, sqrts, metl $>$ 4.0, lumi = 4951.86/pb, VC jets and |
\subsection{\label{sub:xsectA}Results for Set = METsig, {$H_{T}$}, topmassl, aplan, Mjjtau, METsig $>$ 4.0, lumi = 4951.86/pb, VC jets and |
NNelec $>$ 0.9} |
NNelec $>$ 0.9} |
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Table below summarizes the number of events in each channel after final selection. |
Table below summarizes the number of events in each channel after final selection. |
Line 752 Without taking into account the signal c
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Line 887 Without taking into account the signal c
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\clearpage |
\clearpage |
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\subsection{\label{sub:xsectA}Results for Set = metl, {$H_{T}$}, topmassl, aplan, sqrts, metl $>$ 4.0, lumi = 4951.86/pb, VC jets and no NNelec cut} |
\subsection{\label{sub:xsectA}Results for Set = Set = METsig, {$H_{T}$}, topmassl, aplan, Mjjtau, METsig $>$ 4.0, lumi = 4951.86/pb, VC jets and no NNelec cut} |
|
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Table below summarizes the number of events in each channel after final selection. |
Table below summarizes the number of events in each channel after final selection. |
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|