\begin{frame}[allowframebreaks]
  \frametitle{asym_bcm_cav4cQ_bcm_an_ds_agg_dd Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_BCMs_det_weighted_asym_bcm_cav4cQ_bcm_an_ds_agg_dd_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average asym_bcm_cav4cQ_bcm_an_ds_agg_dd ( ppb) vs. Wien.}
    \label{fig:asym_bcm_cav4cQ_bcm_an_ds_agg_dd_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_BCMs_det_weighted_asym_bcm_cav4cQ_bcm_an_ds_agg_dd_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average asym_bcm_cav4cQ_bcm_an_ds_agg_dd ( ppb) vs. Wien pull.}
    \label{fig:asym_bcm_cav4cQ_bcm_an_ds_agg_dd_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{asym_bcm_cav4cQ_bcm_an_ds_agg_dd 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|}{253.608}  & \multicolumn{1}{c|}{450.029}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{-4.80972}  & \multicolumn{1}{c|}{4.66984}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{-8.05532}  & \multicolumn{1}{c|}{4.96187}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{40.3941\pm 80.8538}  & \multicolumn{1}{c|}{Chi2/NDOF = 1.52222/2}  & \multicolumn{1}{c|}{Probability = 0.467148} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
asym bcm_cav4cQ_bcm_an_ds_agg_dd maindet weighted average, 40.3941 +- 80.8538
asym bcm_cav4cQ_bcm_an_ds_agg_dd maindet weighted mean, self pull = -6.32351 +- 4.80653
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien, time, Value, Value Error
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,1,253.608,450.029
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,2,-4.80972,4.66984
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,3,-8.05532,4.96187
asym bcm_cav4cQ_bcm_an_ds_agg_dd total average, -6.31936 +- 3.40053
asym bcm_cav4cQ_bcm_an_ds_agg_dd pull plot stats = 0.183665 +- 0.391284
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien, time, Value, Avg Weight
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,1,253.608,0.179556
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,2,-4.80972,0.451691
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,3,-8.05532,0.368752
asym bcm_cav4cQ_bcm_an_ds_agg_dd maindet weighted average, 40.3941 +- 80.8538
asym bcm_cav4cQ_bcm_an_ds_agg_dd maindet weighted pull (not meaningful) = 0.125932 +- 0.701105
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien, time, Value, Equally weighted Weight
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,1,253.608,0.333333
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,2,-4.80972,0.333333
asym bcm_cav4cQ_bcm_an_ds_agg_dd Wien,3,-8.05532,0.333333
asym bcm_cav4cQ_bcm_an_ds_agg_dd tg_equal_weighted = 80.2478 +- 150.027
asym bcm_cav4cQ_bcm_an_ds_agg_dd th_pull_equal_weighted = -9.02617e-09 +- 0.471771