\begin{frame}[allowframebreaks]
  \frametitle{asym_bcm_cav4cQ_bcm_an_us_agg_dd Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_BCMs_det_weighted_asym_bcm_cav4cQ_bcm_an_us_agg_dd_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average asym_bcm_cav4cQ_bcm_an_us_agg_dd ( ppb) vs. Wien.}
    \label{fig:asym_bcm_cav4cQ_bcm_an_us_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_us_agg_dd_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average asym_bcm_cav4cQ_bcm_an_us_agg_dd ( ppb) vs. Wien pull.}
    \label{fig:asym_bcm_cav4cQ_bcm_an_us_agg_dd_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{asym_bcm_cav4cQ_bcm_an_us_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|}{251.657}  & \multicolumn{1}{c|}{450.049}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{-5.93998}  & \multicolumn{1}{c|}{4.64904}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{-7.51831}  & \multicolumn{1}{c|}{5.01277}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{39.7312\pm 80.8575}  & \multicolumn{1}{c|}{Chi2/NDOF = 1.50349/2}  & \multicolumn{1}{c|}{Probability = 0.471542} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
asym bcm_cav4cQ_bcm_an_us_agg_dd maindet weighted average, 39.7312 +- 80.8575
asym bcm_cav4cQ_bcm_an_us_agg_dd maindet weighted mean, self pull = -6.25957 +- 4.76193
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien, time, Value, Value Error
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,1,251.657,450.049
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,2,-5.93998,4.64904
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,3,-7.51831,5.01277
asym bcm_cav4cQ_bcm_an_us_agg_dd total average, -6.65499 +- 3.40861
asym bcm_cav4cQ_bcm_an_us_agg_dd pull plot stats = 0.18518 +- 0.305437
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien, time, Value, Avg Weight
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,1,251.657,0.179556
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,2,-5.93998,0.451691
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,3,-7.51831,0.368752
asym bcm_cav4cQ_bcm_an_us_agg_dd maindet weighted average, 39.7312 +- 80.8575
asym bcm_cav4cQ_bcm_an_us_agg_dd maindet weighted pull (not meaningful) = 0.125384 +- 0.696738
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien, time, Value, Equally weighted Weight
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,1,251.657,0.333333
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,2,-5.93998,0.333333
asym bcm_cav4cQ_bcm_an_us_agg_dd Wien,3,-7.51831,0.333333
asym bcm_cav4cQ_bcm_an_us_agg_dd tg_equal_weighted = 79.3996 +- 150.033
asym bcm_cav4cQ_bcm_an_us_agg_dd th_pull_equal_weighted = 1.36196e-08 +- 0.468727