\begin{frame}[allowframebreaks]
  \frametitle{diff_evMon5 Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon5_rcdb_flip_state_wise_OnlyBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon5 ( nm) vs. Wien.}
    \label{fig:diff_evMon5_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_evMon5_rcdb_flip_state_wise_OnlyBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon5 ( nm) vs. Wien pull.}
    \label{fig:diff_evMon5_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{diff_evMon5 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|}{-6.11413}  & \multicolumn{1}{c|}{3.43519}  & \multicolumn{1}{c|}{26.1053\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{2.64579}  & \multicolumn{1}{c|}{3.13469}  & \multicolumn{1}{c|}{42.8441\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{-0.694293}  & \multicolumn{1}{c|}{8.68201}  & \multicolumn{1}{c|}{31.0506\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{-0.678127\pm 3.14251}  & \multicolumn{1}{c|}{Chi2/NDOF = 1.26049/2}  & \multicolumn{1}{c|}{Probability = 0.53246} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon5 maindet weighted average, -0.678127 +- 3.14251
diff evMon5 maindet weighted mean, self pull = -0.174648 +- 1.08582
diff evMon5 Wien, time, Value, Value Error
diff evMon5 Wien,1,-6.11413,3.43519
diff evMon5 Wien,2,2.64579,3.13469
diff evMon5 Wien,3,-0.694293,8.68201
diff evMon5 total average, -1.29184 +- 2.23732
diff evMon5 pull plot stats = -0.0262741 +- 1.088
diff evMon5 Wien, time, Value, Avg Weight
diff evMon5 Wien,1,-6.11413,0.261053
diff evMon5 Wien,2,2.64579,0.428441
diff evMon5 Wien,3,-0.694293,0.310506
diff evMon5 maindet weighted average, -0.678127 +- 3.14251
diff evMon5 maindet weighted pull (not meaningful) = -0.0647847 +- 0.644955
diff evMon5 Wien, time, Value, Equally weighted Weight
diff evMon5 Wien,1,-6.11413,0.333333
diff evMon5 Wien,2,2.64579,0.333333
diff evMon5 Wien,3,-0.694293,0.333333
diff evMon5 tg_equal_weighted = -1.38754 +- 3.28302
diff evMon5 th_pull_equal_weighted = -5.46867e-08 +- 0.634793