\begin{frame}[allowframebreaks]
  \frametitle{diff_evMon0 Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon0_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon0 ( nm) vs. Wien.}
    \label{fig:diff_evMon0_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_evMon0_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon0 ( nm) vs. Wien pull.}
    \label{fig:diff_evMon0_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{diff_evMon0 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|}{-13.3023}  & \multicolumn{1}{c|}{10.0957}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{1.32175}  & \multicolumn{1}{c|}{6.38646}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{0.76266}  & \multicolumn{1}{c|}{4.44738}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{-1.51026\pm 3.78116}  & \multicolumn{1}{c|}{Chi2/NDOF = 2.13298/2}  & \multicolumn{1}{c|}{Probability = 0.344215} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon0 maindet weighted average, -1.51026 +- 3.78116
diff evMon0 maindet weighted mean, self pull = -0.0711716 +- 0.776083
diff evMon0 Wien, time, Value, Value Error
diff evMon0 Wien,1,-13.3023,10.0957
diff evMon0 Wien,2,1.32175,6.38646
diff evMon0 Wien,3,0.76266,4.44738
diff evMon0 total average, -0.701489 +- 3.43225
diff evMon0 pull plot stats = -0.200705 +- 0.740661
diff evMon0 Wien, time, Value, Avg Weight
diff evMon0 Wien,1,-13.3023,0.179556
diff evMon0 Wien,2,1.32175,0.451691
diff evMon0 Wien,3,0.76266,0.368752
diff evMon0 maindet weighted average, -1.51026 +- 3.78116
diff evMon0 maindet weighted pull (not meaningful) = -0.15103 +- 0.829567
diff evMon0 Wien, time, Value, Equally weighted Weight
diff evMon0 Wien,1,-13.3023,0.333333
diff evMon0 Wien,2,1.32175,0.333333
diff evMon0 Wien,3,0.76266,0.333333
diff evMon0 tg_equal_weighted = -3.7393 +- 4.24905
diff evMon0 th_pull_equal_weighted = -3.1021e-08 +- 0.919336