\begin{frame}[allowframebreaks]
  \frametitle{diff_evMon2 Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon2_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon2 ( nm) vs. Wien.}
    \label{fig:diff_evMon2_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_evMon2_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon2 ( nm) vs. Wien pull.}
    \label{fig:diff_evMon2_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{diff_evMon2 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|}{-2.76485}  & \multicolumn{1}{c|}{5.52157}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{-1.38495}  & \multicolumn{1}{c|}{2.62837}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{-5.48295}  & \multicolumn{1}{c|}{5.24395}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{-3.14387\pm 2.47622}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.561151/2}  & \multicolumn{1}{c|}{Probability = 0.755349} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon2 maindet weighted average, -3.14387 +- 2.47622
diff evMon2 maindet weighted mean, self pull = 0.0972646 +- 0.455752
diff evMon2 Wien, time, Value, Value Error
diff evMon2 Wien,1,-2.76485,5.52157
diff evMon2 Wien,2,-1.38495,2.62837
diff evMon2 Wien,3,-5.48295,5.24395
diff evMon2 total average, -2.29317 +- 2.16211
diff evMon2 pull plot stats = -0.116053 +- 0.389999
diff evMon2 Wien, time, Value, Avg Weight
diff evMon2 Wien,1,-2.76485,0.179556
diff evMon2 Wien,2,-1.38495,0.451691
diff evMon2 Wien,3,-5.48295,0.368752
diff evMon2 maindet weighted average, -3.14387 +- 2.47622
diff evMon2 maindet weighted pull (not meaningful) = -0.0104554 +- 0.432367
diff evMon2 Wien, time, Value, Equally weighted Weight
diff evMon2 Wien,1,-2.76485,0.333333
diff evMon2 Wien,2,-1.38495,0.333333
diff evMon2 Wien,3,-5.48295,0.333333
diff evMon2 tg_equal_weighted = -3.21092 +- 2.68525
diff evMon2 th_pull_equal_weighted = 6.47026e-08 +- 0.366047