\begin{frame}[allowframebreaks]
  \frametitle{asym_bcm_dg_ds_an_ds_dd Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_BCMs_det_weighted_asym_bcm_dg_ds_an_ds_dd_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average asym_bcm_dg_ds_an_ds_dd ( ppb) vs. Wien.}
    \label{fig:asym_bcm_dg_ds_an_ds_dd_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_BCMs_det_weighted_asym_bcm_dg_ds_an_ds_dd_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average asym_bcm_dg_ds_an_ds_dd ( ppb) vs. Wien pull.}
    \label{fig:asym_bcm_dg_ds_an_ds_dd_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{asym_bcm_dg_ds_an_ds_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|}{-1.40866}  & \multicolumn{1}{c|}{4.52421}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{5.59282}  & \multicolumn{1}{c|}{2.76208}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{0.156549}  & \multicolumn{1}{c|}{2.91675}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{2.33102\pm 1.83664}  & \multicolumn{1}{c|}{Chi2/NDOF = 2.68595/2}  & \multicolumn{1}{c|}{Probability = 0.261068} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
asym bcm_dg_ds_an_ds_dd maindet weighted average, 2.33102 +- 1.83664
asym bcm_dg_ds_an_ds_dd maindet weighted mean, self pull = -0.130394 +- 0.927832
asym bcm_dg_ds_an_ds_dd Wien, time, Value, Value Error
asym bcm_dg_ds_an_ds_dd Wien,1,-1.40866,4.52421
asym bcm_dg_ds_an_ds_dd Wien,2,5.59282,2.76208
asym bcm_dg_ds_an_ds_dd Wien,3,0.156549,2.91675
asym bcm_dg_ds_an_ds_dd total average, 2.29488 +- 1.83347
asym bcm_dg_ds_an_ds_dd pull plot stats = -0.119238 +- 0.929262
asym bcm_dg_ds_an_ds_dd Wien, time, Value, Avg Weight
asym bcm_dg_ds_an_ds_dd Wien,1,-1.40866,0.179556
asym bcm_dg_ds_an_ds_dd Wien,2,5.59282,0.451691
asym bcm_dg_ds_an_ds_dd Wien,3,0.156549,0.368752
asym bcm_dg_ds_an_ds_dd maindet weighted average, 2.33102 +- 1.83664
asym bcm_dg_ds_an_ds_dd maindet weighted pull (not meaningful) = -0.129387 +- 0.937324
asym bcm_dg_ds_an_ds_dd Wien, time, Value, Equally weighted Weight
asym bcm_dg_ds_an_ds_dd Wien,1,-1.40866,0.333333
asym bcm_dg_ds_an_ds_dd Wien,2,5.59282,0.333333
asym bcm_dg_ds_an_ds_dd Wien,3,0.156549,0.333333
asym bcm_dg_ds_an_ds_dd tg_equal_weighted = 1.4469 +- 2.01674
asym bcm_dg_ds_an_ds_dd th_pull_equal_weighted = 1.26313e-07 +- 0.858964