\begin{frame}[allowframebreaks]
  \frametitle{main_det_eigen_lagr_correction Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_lagr_allbpms_part_avg_cor_det_asyms_det_weighted_main_det_eigen_lagr_correction_rcdb_flip_state_wise_OnlyBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average main_det_eigen_lagr_correction ( ppb) vs. Wien.}
    \label{fig:main_det_eigen_lagr_correction_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_lagr_allbpms_part_avg_cor_det_asyms_det_weighted_main_det_eigen_lagr_correction_rcdb_flip_state_wise_OnlyBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average main_det_eigen_lagr_correction ( ppb) vs. Wien pull.}
    \label{fig:main_det_eigen_lagr_correction_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{main_det_eigen_lagr_correction 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|}{-865.121}  & \multicolumn{1}{c|}{1485.31}  & \multicolumn{1}{c|}{26.1053\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{1060.19}  & \multicolumn{1}{c|}{1379.2}  & \multicolumn{1}{c|}{42.8441\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{-200.308}  & \multicolumn{1}{c|}{1627.97}  & \multicolumn{1}{c|}{31.0506\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{166.189\pm 868.93}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.876494/2}  & \multicolumn{1}{c|}{Probability = 0.645166} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
Maindet weighted Lagrange Apv Correction maindet weighted average, 166.189 +- 868.93
Maindet weighted Lagrange Apv Correction maindet weighted mean, self pull = -0.0904215 +- 0.556306
Maindet weighted Lagrange Apv Correction Wien, time, Value, Value Error
Maindet weighted Lagrange Apv Correction Wien,1,-865.121,1485.31
Maindet weighted Lagrange Apv Correction Wien,2,1060.19,1379.2
Maindet weighted Lagrange Apv Correction Wien,3,-200.308,1627.97
Maindet weighted Lagrange Apv Correction total average, 66.0829 +- 858.659
Maindet weighted Lagrange Apv Correction pull plot stats = -0.0232645 +- 0.559089
Maindet weighted Lagrange Apv Correction Wien, time, Value, Avg Weight
Maindet weighted Lagrange Apv Correction Wien,1,-865.121,0.261053
Maindet weighted Lagrange Apv Correction Wien,2,1060.19,0.428441
Maindet weighted Lagrange Apv Correction Wien,3,-200.308,0.310506
Maindet weighted Lagrange Apv Correction maindet weighted average, 166.189 +- 868.93
Maindet weighted Lagrange Apv Correction maindet weighted pull (not meaningful) = -0.0560012 +- 0.537614
Maindet weighted Lagrange Apv Correction Wien, time, Value, Equally weighted Weight
Maindet weighted Lagrange Apv Correction Wien,1,-865.121,0.333333
Maindet weighted Lagrange Apv Correction Wien,2,1060.19,0.333333
Maindet weighted Lagrange Apv Correction Wien,3,-200.308,0.333333
Maindet weighted Lagrange Apv Correction tg_equal_weighted = -1.74742 +- 866.577
Maindet weighted Lagrange Apv Correction th_pull_equal_weighted = -3.01004e-10 +- 0.531958