\begin{frame}[allowframebreaks]
  \frametitle{overload_reg_asym_manual_main_det Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_overload_det_asyms_det_weighted_overload_reg_asym_manual_main_det_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average overload_reg_asym_manual_main_det ( ppb) vs. Wien.}
    \label{fig:overload_reg_asym_manual_main_det_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_overload_det_asyms_det_weighted_overload_reg_asym_manual_main_det_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average overload_reg_asym_manual_main_det ( ppb) vs. Wien pull.}
    \label{fig:overload_reg_asym_manual_main_det_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{overload_reg_asym_manual_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|}{2243.93}  & \multicolumn{1}{c|}{222.878}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{1921.46}  & \multicolumn{1}{c|}{139.735}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{2186.25}  & \multicolumn{1}{c|}{152.746}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{2077\pm 93.5834}  & \multicolumn{1}{c|}{Chi2/NDOF = 2.32159/2}  & \multicolumn{1}{c|}{Probability = 0.313237} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
Plain Overload Regression Apv maindet weighted average, 2077 +- 93.5834
Plain Overload Regression Apv maindet weighted mean, self pull = 0.117016 +- 0.86995
Plain Overload Regression Apv Wien, time, Value, Value Error
Plain Overload Regression Apv Wien,1,2243.93,222.878
Plain Overload Regression Apv Wien,2,1921.46,139.735
Plain Overload Regression Apv Wien,3,2186.25,152.746
Plain Overload Regression Apv total average, 2077.67 +- 93.5741
Plain Overload Regression Apv pull plot stats = 0.112935 +- 0.870479
Plain Overload Regression Apv Wien, time, Value, Avg Weight
Plain Overload Regression Apv Wien,1,2243.93,0.179556
Plain Overload Regression Apv Wien,2,1921.46,0.451691
Plain Overload Regression Apv Wien,3,2186.25,0.368752
Plain Overload Regression Apv maindet weighted average, 2077 +- 93.5834
Plain Overload Regression Apv maindet weighted pull (not meaningful) = 0.115891 +- 0.872028
Plain Overload Regression Apv Wien, time, Value, Equally weighted Weight
Plain Overload Regression Apv Wien,1,2243.93,0.333333
Plain Overload Regression Apv Wien,2,1921.46,0.333333
Plain Overload Regression Apv Wien,3,2186.25,0.333333
Plain Overload Regression Apv tg_equal_weighted = 2117.21 +- 101.397
Plain Overload Regression Apv th_pull_equal_weighted = -8.48453e-07 +- 0.799468