\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_allbpms_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_allbpms_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|}{1970.9}  & \multicolumn{1}{c|}{749.946}  & \multicolumn{1}{c|}{26.1053\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{1851.3}  & \multicolumn{1}{c|}{595.341}  & \multicolumn{1}{c|}{42.8441\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{1691.49}  & \multicolumn{1}{c|}{769.883}  & \multicolumn{1}{c|}{31.0506\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{1832.9\pm 400.668}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.0705527/2}  & \multicolumn{1}{c|}{Probability = 0.965339} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
12BPM Regression Apv maindet weighted average, 1832.9 +- 400.668
12BPM Regression Apv maindet weighted mean, self pull = 0.0104143 +- 0.15081
12BPM Regression Apv Wien, time, Value, Value Error
12BPM Regression Apv Wien,1,1970.9,749.946
12BPM Regression Apv Wien,2,1851.3,595.341
12BPM Regression Apv Wien,3,1691.49,769.883
12BPM Regression Apv total average, 1842.24 +- 398.834
12BPM Regression Apv pull plot stats = -0.00300761 +- 0.150534
12BPM Regression Apv Wien, time, Value, Avg Weight
12BPM Regression Apv Wien,1,1970.9,0.261053
12BPM Regression Apv Wien,2,1851.3,0.428441
12BPM Regression Apv Wien,3,1691.49,0.310506
12BPM Regression Apv maindet weighted average, 1832.9 +- 400.668
12BPM Regression Apv maindet weighted pull (not meaningful) = 0.00312348 +- 0.153323
12BPM Regression Apv Wien, time, Value, Equally weighted Weight
12BPM Regression Apv Wien,1,1970.9,0.333333
12BPM Regression Apv Wien,2,1851.3,0.333333
12BPM Regression Apv Wien,3,1691.49,0.333333
12BPM Regression Apv tg_equal_weighted = 1837.9 +- 409.549
12BPM Regression Apv th_pull_equal_weighted = -2.69255e-07 +- 0.161363