\begin{frame}[allowframebreaks] \frametitle{_IncludeBMOD_diff_targ_thetaX Wien} \begin{figure} \centering \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_kinematics_det_weighted__IncludeBMOD_diff_targ_thetaX_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} \caption{Main detector weighted average _IncludeBMOD_diff_targ_thetaX ( nrad) vs. Wien.} \label{fig:_IncludeBMOD_diff_targ_thetaX_Wien_p0} \end{figure} \begin{figure} \centering \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_kinematics_det_weighted__IncludeBMOD_diff_targ_thetaX_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} \caption{Main detector weighted average _IncludeBMOD_diff_targ_thetaX ( nrad) vs. Wien pull.} \label{fig:_IncludeBMOD_diff_targ_thetaX_Wien_pull} \end{figure} \begin{table} \caption{_IncludeBMOD_diff_targ_thetaX 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|}{-0.25561} & \multicolumn{1}{c|}{0.165018} & \multicolumn{1}{c|}{17.9556\%} \\ \hline \multicolumn{1}{|c|}{Wien 2} & \multicolumn{1}{c|}{0.0761384} & \multicolumn{1}{c|}{0.0427872} & \multicolumn{1}{c|}{45.1691\%} \\ \hline \multicolumn{1}{|c|}{Wien 3} & \multicolumn{1}{c|}{-0.0592319} & \multicolumn{1}{c|}{0.087655} & \multicolumn{1}{c|}{36.8752\%} \\ \hline \multicolumn{1}{|c|}{Main det weighted average} & \multicolumn{1}{c|}{-0.0333473\pm 0.0479191} & \multicolumn{1}{c|}{Chi2/NDOF = 6.32852/2} & \multicolumn{1}{c|}{Probability = 0.0422455} \\ \hline \end{tabular} \end{table} \end{frame} diff target thetaX maindet weighted average, -0.0333473 +- 0.0479191 diff target thetaX maindet weighted mean, self pull = 0.305548 +- 1.65014 diff target thetaX Wien, time, Value, Value Error diff target thetaX Wien,1,-0.25561,0.165018 diff target thetaX Wien,2,0.0761384,0.0427872 diff target thetaX Wien,3,-0.0592319,0.087655 diff target thetaX total average, 0.0343472 +- 0.0374477 diff target thetaX pull plot stats = -0.615995 +- 1.16087 diff target thetaX Wien, time, Value, Avg Weight diff target thetaX Wien,1,-0.25561,0.179556 diff target thetaX Wien,2,0.0761384,0.451691 diff target thetaX Wien,3,-0.0592319,0.368752 diff target thetaX maindet weighted average, -0.0333473 +- 0.0479191 diff target thetaX maindet weighted pull (not meaningful) = -0.252629 +- 1.43027 diff target thetaX Wien, time, Value, Equally weighted Weight diff target thetaX Wien,1,-0.25561,0.333333 diff target thetaX Wien,2,0.0761384,0.333333 diff target thetaX Wien,3,-0.0592319,0.333333 diff target thetaX tg_equal_weighted = -0.0795679 +- 0.0638968 diff target thetaX th_pull_equal_weighted = 3.80835e-08 +- 1.23063