\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_OnlyBMOD_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_OnlyBMOD_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|}{0.275236}  & \multicolumn{1}{c|}{1.15977}  & \multicolumn{1}{c|}{26.1053\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{0.0403358}  & \multicolumn{1}{c|}{0.377763}  & \multicolumn{1}{c|}{42.8441\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{1.33409}  & \multicolumn{1}{c|}{1.09418}  & \multicolumn{1}{c|}{31.0506\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{0.503376\pm 0.483}  & \multicolumn{1}{c|}{Chi2/NDOF = 1.37051/2}  & \multicolumn{1}{c|}{Probability = 0.503962} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon10 maindet weighted average, 0.503376 +- 0.483
diff evMon10 maindet weighted mean, self pull = -0.22108 +- 0.810539
diff evMon10 Wien, time, Value, Value Error
diff evMon10 Wien,1,0.275236,1.15977
diff evMon10 Wien,2,0.0403358,0.377763
diff evMon10 Wien,3,1.33409,1.09418
diff evMon10 total average, 0.186532 +- 0.341271
diff evMon10 pull plot stats = 0.246089 +- 0.598303
diff evMon10 Wien, time, Value, Avg Weight
diff evMon10 Wien,1,0.275236,0.261053
diff evMon10 Wien,2,0.0403358,0.428441
diff evMon10 Wien,3,1.33409,0.310506
diff evMon10 maindet weighted average, 0.503376 +- 0.483
diff evMon10 maindet weighted pull (not meaningful) = 0.0298485 +- 0.675237
diff evMon10 Wien, time, Value, Equally weighted Weight
diff evMon10 Wien,1,0.275236,0.333333
diff evMon10 Wien,2,0.0403358,0.333333
diff evMon10 Wien,3,1.33409,0.333333
diff evMon10 tg_equal_weighted = 0.549888 +- 0.5462
diff evMon10 th_pull_equal_weighted = -7.87091e-09 +- 0.594842