\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|}{17.9205\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{-1.246}  & \multicolumn{1}{c|}{2.62398}  & \multicolumn{1}{c|}{45.1834\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{-5.52777}  & \multicolumn{1}{c|}{5.23169}  & \multicolumn{1}{c|}{36.8961\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{-3.09799\pm 2.472}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.613327/2}  & \multicolumn{1}{c|}{Probability = 0.735898} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon2 maindet weighted average, -3.09799 +- 2.472
diff evMon2 maindet weighted mean, self pull = 0.100565 +- 0.47859
diff evMon2 Wien, time, Value, Value Error
diff evMon2 Wien,1,-2.76485,5.52157
diff evMon2 Wien,2,-1.246,2.62398
diff evMon2 Wien,3,-5.52777,5.23169
diff evMon2 total average, -2.20723 +- 2.1588
diff evMon2 pull plot stats = -0.123119 +- 0.408966
diff evMon2 Wien, time, Value, Avg Weight
diff evMon2 Wien,1,-2.76485,0.179205
diff evMon2 Wien,2,-1.246,0.451834
diff evMon2 Wien,3,-5.52777,0.368961
diff evMon2 maindet weighted average, -3.09799 +- 2.472
diff evMon2 maindet weighted pull (not meaningful) = -0.0121344 +- 0.45199
diff evMon2 Wien, time, Value, Equally weighted Weight
diff evMon2 Wien,1,-2.76485,0.333333
diff evMon2 Wien,2,-1.246,0.333333
diff evMon2 Wien,3,-5.52777,0.333333
diff evMon2 tg_equal_weighted = -3.17954 +- 2.68211
diff evMon2 th_pull_equal_weighted = -1.93299e-08 +- 0.381537