\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_IncludeBMOD_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_IncludeBMOD_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|}{-1.23066}  & \multicolumn{1}{c|}{0.610803}  & \multicolumn{1}{c|}{17.9205\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{0.119815}  & \multicolumn{1}{c|}{0.207796}  & \multicolumn{1}{c|}{45.1834\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{0.229876}  & \multicolumn{1}{c|}{0.566068}  & \multicolumn{1}{c|}{36.8961\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{-0.0815885\pm 0.253806}  & \multicolumn{1}{c|}{Chi2/NDOF = 4.5133/2}  & \multicolumn{1}{c|}{Probability = 0.1047} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon5 maindet weighted average, -0.0815885 +- 0.253806
diff evMon5 maindet weighted mean, self pull = -0.120594 +- 1.25667
diff evMon5 Wien, time, Value, Value Error
diff evMon5 Wien,1,-1.23066,0.610803
diff evMon5 Wien,2,0.119815,0.207796
diff evMon5 Wien,3,0.229876,0.566068
diff evMon5 total average, 0.00668483 +- 0.185822
diff evMon5 pull plot stats = -0.362351 +- 1.17781
diff evMon5 Wien, time, Value, Avg Weight
diff evMon5 Wien,1,-1.23066,0.179205
diff evMon5 Wien,2,0.119815,0.451834
diff evMon5 Wien,3,0.229876,0.368961
diff evMon5 maindet weighted average, -0.0815885 +- 0.253806
diff evMon5 maindet weighted pull (not meaningful) = -0.212577 +- 1.20799
diff evMon5 Wien, time, Value, Equally weighted Weight
diff evMon5 Wien,1,-1.23066,0.333333
diff evMon5 Wien,2,0.119815,0.333333
diff evMon5 Wien,3,0.229876,0.333333
diff evMon5 tg_equal_weighted = -0.293656 +- 0.286103
diff evMon5 th_pull_equal_weighted = -6.43735e-08 +- 1.34011