\begin{frame}[allowframebreaks]
  \frametitle{diff_evMon10 Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon10_rcdb_flip_state_wise_ErrorFlag_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon10 ( nm) vs. Wien.}
    \label{fig:diff_evMon10_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon10_rcdb_flip_state_wise_ErrorFlag_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon10 ( nm) vs. Wien pull.}
    \label{fig:diff_evMon10_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{diff_evMon10 vs. Wien, main-det weighted}
    \begin{tabular}{cccc}
    \cline{1-4}
    \multicolumn{1}{|c|}{Averaging} &  \multicolumn{1}{c|}{Value}  & \multicolumn{1}{c|}{Error}  & \multicolumn{1}{c|}{Weight into avg} \\ \hline
    \multicolumn{1}{|c|}{Wien 1}  &  \multicolumn{1}{c|}{0.0279281}  & \multicolumn{1}{c|}{0.261197}  & \multicolumn{1}{c|}{17.5072\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{0.0299831}  & \multicolumn{1}{c|}{0.0724477}  & \multicolumn{1}{c|}{45.3017\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{0.117125}  & \multicolumn{1}{c|}{0.196204}  & \multicolumn{1}{c|}{37.1911\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{0.0620323\pm 0.0921569}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.211678/2}  & \multicolumn{1}{c|}{Probability = 0.89957} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon10 maindet weighted average, 0.0620323 +- 0.0921569
diff evMon10 maindet weighted mean, self pull = -0.0973839 +- 0.296163
diff evMon10 Wien, time, Value, Value Error
diff evMon10 Wien,1,0.0279281,0.261197
diff evMon10 Wien,2,0.0299831,0.0724477
diff evMon10 Wien,3,0.117125,0.196204
diff evMon10 total average, 0.0396455 +- 0.0657726
diff evMon10 pull plot stats = 0.0722205 +- 0.231007
diff evMon10 Wien, time, Value, Avg Weight
diff evMon10 Wien,1,0.0279281,0.175072
diff evMon10 Wien,2,0.0299831,0.453017
diff evMon10 Wien,3,0.117125,0.371911
diff evMon10 maindet weighted average, 0.0620323 +- 0.0921569
diff evMon10 maindet weighted pull (not meaningful) = -0.00811299 +- 0.265506
diff evMon10 Wien, time, Value, Equally weighted Weight
diff evMon10 Wien,1,0.0279281,0.333333
diff evMon10 Wien,2,0.0299831,0.333333
diff evMon10 Wien,3,0.117125,0.333333
diff evMon10 tg_equal_weighted = 0.0583454 +- 0.111539
diff evMon10 th_pull_equal_weighted = 1.72415e-08 +- 0.215185