\begin{frame}[allowframebreaks]
  \frametitle{eigen_reg_asym_main_det Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_5bpms_part_avg_det_asyms_det_weighted_eigen_reg_asym_main_det_rcdb_flip_state_wise_OnlyBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average eigen_reg_asym_main_det ( ppb) vs. Wien.}
    \label{fig:eigen_reg_asym_main_det_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_5bpms_part_avg_det_asyms_det_weighted_eigen_reg_asym_main_det_rcdb_flip_state_wise_OnlyBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average eigen_reg_asym_main_det ( ppb) vs. Wien pull.}
    \label{fig:eigen_reg_asym_main_det_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{eigen_reg_asym_main_det 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|}{1748.3}  & \multicolumn{1}{c|}{755.795}  & \multicolumn{1}{c|}{26.1053\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{1913.23}  & \multicolumn{1}{c|}{620.8}  & \multicolumn{1}{c|}{42.8441\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{1972.85}  & \multicolumn{1}{c|}{775.366}  & \multicolumn{1}{c|}{31.0506\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{1888.69\pm 409.433}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.0453507/2}  & \multicolumn{1}{c|}{Probability = 0.97758} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
5BPM Regression Apv maindet weighted average, 1888.69 +- 409.433
5BPM Regression Apv maindet weighted mean, self pull = -0.0125555 +- 0.125663
5BPM Regression Apv Wien, time, Value, Value Error
5BPM Regression Apv Wien,1,1748.3,755.795
5BPM Regression Apv Wien,2,1913.23,620.8
5BPM Regression Apv Wien,3,1972.85,775.366
5BPM Regression Apv total average, 1881.68 +- 407.951
5BPM Regression Apv pull plot stats = -0.00269465 +- 0.125871
5BPM Regression Apv Wien, time, Value, Avg Weight
5BPM Regression Apv Wien,1,1748.3,0.261053
5BPM Regression Apv Wien,2,1913.23,0.428441
5BPM Regression Apv Wien,3,1972.85,0.310506
5BPM Regression Apv maindet weighted average, 1888.69 +- 409.433
5BPM Regression Apv maindet weighted pull (not meaningful) = -0.00713615 +- 0.122744
5BPM Regression Apv Wien, time, Value, Equally weighted Weight
5BPM Regression Apv Wien,1,1748.3,0.333333
5BPM Regression Apv Wien,2,1913.23,0.333333
5BPM Regression Apv Wien,3,1972.85,0.333333
5BPM Regression Apv tg_equal_weighted = 1878.13 +- 416.041
5BPM Regression Apv th_pull_equal_weighted = -5.90005e-07 +- 0.131796