\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_IncludeBMOD_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_IncludeBMOD_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|}{0.0639242}  & \multicolumn{1}{c|}{0.257229}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{0.0285654}  & \multicolumn{1}{c|}{0.0713958}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{0.167464}  & \multicolumn{1}{c|}{0.193872}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{0.0861335\pm 0.0910174}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.485828/2}  & \multicolumn{1}{c|}{Probability = 0.784339} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon10 maindet weighted average, 0.0861335 +- 0.0910174
diff evMon10 maindet weighted mean, self pull = -0.157719 +- 0.502982
diff evMon10 Wien, time, Value, Value Error
diff evMon10 Wien,1,0.0639242,0.257229
diff evMon10 Wien,2,0.0285654,0.0713958
diff evMon10 Wien,3,0.167464,0.193872
diff evMon10 total average, 0.0463454 +- 0.0648342
diff evMon10 pull plot stats = 0.148013 +- 0.361136
diff evMon10 Wien, time, Value, Avg Weight
diff evMon10 Wien,1,0.0639242,0.179556
diff evMon10 Wien,2,0.0285654,0.451691
diff evMon10 Wien,3,0.167464,0.368752
diff evMon10 maindet weighted average, 0.0861335 +- 0.0910174
diff evMon10 maindet weighted pull (not meaningful) = 0.004712 +- 0.402394
diff evMon10 Wien, time, Value, Equally weighted Weight
diff evMon10 Wien,1,0.0639242,0.333333
diff evMon10 Wien,2,0.0285654,0.333333
diff evMon10 Wien,3,0.167464,0.333333
diff evMon10 tg_equal_weighted = 0.0866512 +- 0.109975
diff evMon10 th_pull_equal_weighted = -2.22009e-08 +- 0.309417