\begin{frame}[allowframebreaks]
  \frametitle{diff_evMon1 Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon1_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon1 ( nm) vs. Wien.}
    \label{fig:diff_evMon1_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon1_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon1 ( nm) vs. Wien pull.}
    \label{fig:diff_evMon1_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{diff_evMon1 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|}{5.06569}  & \multicolumn{1}{c|}{4.88396}  & \multicolumn{1}{c|}{17.9205\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{7.85235}  & \multicolumn{1}{c|}{2.95404}  & \multicolumn{1}{c|}{45.1834\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{6.15878}  & \multicolumn{1}{c|}{10.656}  & \multicolumn{1}{c|}{36.8961\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{6.7281\pm 4.24329}  & \multicolumn{1}{c|}{Chi2/NDOF = 0.0658649/2}  & \multicolumn{1}{c|}{Probability = 0.967604} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon1 maindet weighted average, 6.7281 +- 4.24329
diff evMon1 maindet weighted mean, self pull = -0.00441035 +- 0.296365
diff evMon1 Wien, time, Value, Value Error
diff evMon1 Wien,1,5.06569,4.88396
diff evMon1 Wien,2,7.85235,2.95404
diff evMon1 Wien,3,6.15878,10.656
diff evMon1 total average, 7.05549 +- 2.45941
diff evMon1 pull plot stats = -0.0739385 +- 0.276547
diff evMon1 Wien, time, Value, Avg Weight
diff evMon1 Wien,1,5.06569,0.179205
diff evMon1 Wien,2,7.85235,0.451834
diff evMon1 Wien,3,6.15878,0.368961
diff evMon1 maindet weighted average, 6.7281 +- 4.24329
diff evMon1 maindet weighted pull (not meaningful) = -0.0230845 +- 0.146363
diff evMon1 Wien, time, Value, Equally weighted Weight
diff evMon1 Wien,1,5.06569,0.333333
diff evMon1 Wien,2,7.85235,0.333333
diff evMon1 Wien,3,6.15878,0.333333
diff evMon1 tg_equal_weighted = 6.35894 +- 4.02949
diff evMon1 th_pull_equal_weighted = -2.76832e-08 +- 0.164261