\begin{frame}[allowframebreaks] \frametitle{diff_evMon10 Wien} \begin{figure} \centering \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon10_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} \caption{Main detector weighted average diff_evMon10 ( nm) vs. Wien.} \label{fig:diff_evMon10_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_evMon10_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} \caption{Main detector weighted average diff_evMon10 ( nm) vs. Wien pull.} \label{fig:diff_evMon10_Wien_pull} \end{figure} \begin{table} \caption{diff_evMon10 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|}{0.0639242} & \multicolumn{1}{c|}{0.257229} & \multicolumn{1}{c|}{17.9205\%} \\ \hline \multicolumn{1}{|c|}{Wien 2} & \multicolumn{1}{c|}{0.0292087} & \multicolumn{1}{c|}{0.0712924} & \multicolumn{1}{c|}{45.1834\%} \\ \hline \multicolumn{1}{|c|}{Wien 3} & \multicolumn{1}{c|}{0.167548} & \multicolumn{1}{c|}{0.193412} & \multicolumn{1}{c|}{36.8961\%} \\ \hline \multicolumn{1}{|c|}{Main det weighted average} & \multicolumn{1}{c|}{0.0864718\pm 0.090857} & \multicolumn{1}{c|}{Chi2/NDOF = 0.484318/2} & \multicolumn{1}{c|}{Probability = 0.784931} \\ \hline \end{tabular} \end{table} \end{frame} diff evMon10 maindet weighted average, 0.0864718 +- 0.090857 diff evMon10 maindet weighted mean, self pull = -0.157227 +- 0.501464 diff evMon10 Wien, time, Value, Value Error diff evMon10 Wien,1,0.0639242,0.257229 diff evMon10 Wien,2,0.0292087,0.0712924 diff evMon10 Wien,3,0.167548,0.193412 diff evMon10 total average, 0.0469072 +- 0.0647395 diff evMon10 pull plot stats = 0.147218 +- 0.36058 diff evMon10 Wien, time, Value, Avg Weight diff evMon10 Wien,1,0.0639242,0.179205 diff evMon10 Wien,2,0.0292087,0.451834 diff evMon10 Wien,3,0.167548,0.368961 diff evMon10 maindet weighted average, 0.0864718 +- 0.090857 diff evMon10 maindet weighted pull (not meaningful) = 0.00444347 +- 0.401771 diff evMon10 Wien, time, Value, Equally weighted Weight diff evMon10 Wien,1,0.0639242,0.333333 diff evMon10 Wien,2,0.0292087,0.333333 diff evMon10 Wien,3,0.167548,0.333333 diff evMon10 tg_equal_weighted = 0.0868938 +- 0.109877 diff evMon10 th_pull_equal_weighted = 1.43781e-08 +- 0.308786