\begin{frame}[allowframebreaks]
  \frametitle{reg_asym_main_det Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_regression_det_asyms_det_weighted_reg_asym_main_det_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average reg_asym_main_det ( ppb) vs. Wien.}
    \label{fig:reg_asym_main_det_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_regression_det_asyms_det_weighted_reg_asym_main_det_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average reg_asym_main_det ( ppb) vs. Wien pull.}
    \label{fig:reg_asym_main_det_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{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|}{2231.22}  & \multicolumn{1}{c|}{223.279}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{1930.08}  & \multicolumn{1}{c|}{140.03}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{2182.53}  & \multicolumn{1}{c|}{152.877}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{2077.24\pm 93.7333}  & \multicolumn{1}{c|}{Chi2/NDOF = 2.06321/2}  & \multicolumn{1}{c|}{Probability = 0.356434} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
Plain Regression Apv maindet weighted average, 2077.24 +- 93.7333
Plain Regression Apv maindet weighted mean, self pull = 0.109129 +- 0.820293
Plain Regression Apv Wien, time, Value, Value Error
Plain Regression Apv Wien,1,2231.22,223.279
Plain Regression Apv Wien,2,1930.08,140.03
Plain Regression Apv Wien,3,2182.53,152.877
Plain Regression Apv total average, 2078.02 +- 93.7225
Plain Regression Apv pull plot stats = 0.104425 +- 0.820891
Plain Regression Apv Wien, time, Value, Avg Weight
Plain Regression Apv Wien,1,2231.22,0.179556
Plain Regression Apv Wien,2,1930.08,0.451691
Plain Regression Apv Wien,3,2182.53,0.368752
Plain Regression Apv maindet weighted average, 2077.24 +- 93.7333
Plain Regression Apv maindet weighted pull (not meaningful) = 0.107669 +- 0.822281
Plain Regression Apv Wien, time, Value, Equally weighted Weight
Plain Regression Apv Wien,1,2231.22,0.333333
Plain Regression Apv Wien,2,1930.08,0.333333
Plain Regression Apv Wien,3,2182.53,0.333333
Plain Regression Apv tg_equal_weighted = 2114.61 +- 101.562
Plain Regression Apv th_pull_equal_weighted = 1.81792e-06 +- 0.75032