\begin{frame}[allowframebreaks] \frametitle{diff_evMon1 crex_pitt} \begin{figure} \centering \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon1_crex_pitt_wise_IncludeBMOD_NULL_both_main_det_corrections.pdf} \caption{Main detector weighted average diff_evMon1 ( nm) vs. crex_pitt.} \label{fig:diff_evMon1_crex_pitt_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_crex_pitt_wise_IncludeBMOD_NULL_both_main_det_corrections.pdf} \caption{Main detector weighted average diff_evMon1 ( nm) vs. crex_pitt pull.} \label{fig:diff_evMon1_crex_pitt_pull} \end{figure} \begin{table} \caption{diff_evMon1 vs. crex_pitt, 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|}{crex_pitt 1} & \multicolumn{1}{c|}{-26.0727} & \multicolumn{1}{c|}{9.92195} & \multicolumn{1}{c|}{4.44748\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 2} & \multicolumn{1}{c|}{4.75661} & \multicolumn{1}{c|}{11.067} & \multicolumn{1}{c|}{4.16725\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 3} & \multicolumn{1}{c|}{13.7314} & \multicolumn{1}{c|}{9.06732} & \multicolumn{1}{c|}{4.29636\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 4} & \multicolumn{1}{c|}{9.5566} & \multicolumn{1}{c|}{9.11559} & \multicolumn{1}{c|}{5.07571\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 5} & \multicolumn{1}{c|}{10.5626} & \multicolumn{1}{c|}{10.2695} & \multicolumn{1}{c|}{4.01544\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 6} & \multicolumn{1}{c|}{-6.06576} & \multicolumn{1}{c|}{9.58964} & \multicolumn{1}{c|}{4.14121\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 7} & \multicolumn{1}{c|}{22.4824} & \multicolumn{1}{c|}{10.0736} & \multicolumn{1}{c|}{4.17129\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 8} & \multicolumn{1}{c|}{23.8296} & \multicolumn{1}{c|}{10.7857} & \multicolumn{1}{c|}{4.15961\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 9} & \multicolumn{1}{c|}{30.5817} & \multicolumn{1}{c|}{10.8953} & \multicolumn{1}{c|}{4.00095\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 10} & \multicolumn{1}{c|}{16.1853} & \multicolumn{1}{c|}{9.36125} & \multicolumn{1}{c|}{4.04315\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 11} & \multicolumn{1}{c|}{9.98416} & \multicolumn{1}{c|}{8.50069} & \multicolumn{1}{c|}{5.2268\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 12} & \multicolumn{1}{c|}{-9.34845} & \multicolumn{1}{c|}{9.67783} & \multicolumn{1}{c|}{3.97494\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 13} & \multicolumn{1}{c|}{18.5928} & \multicolumn{1}{c|}{9.67729} & \multicolumn{1}{c|}{3.82912\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 14} & \multicolumn{1}{c|}{8.23427} & \multicolumn{1}{c|}{9.68406} & \multicolumn{1}{c|}{4.05571\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 15} & \multicolumn{1}{c|}{-17.566} & \multicolumn{1}{c|}{9.74116} & \multicolumn{1}{c|}{3.44318\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 16} & \multicolumn{1}{c|}{33.7292} & \multicolumn{1}{c|}{29.8973} & \multicolumn{1}{c|}{4.06967\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 17} & \multicolumn{1}{c|}{23.056} & \multicolumn{1}{c|}{34.884} & \multicolumn{1}{c|}{4.10447\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 18} & \multicolumn{1}{c|}{52.7249} & \multicolumn{1}{c|}{36.1773} & \multicolumn{1}{c|}{4.06021\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 19} & \multicolumn{1}{c|}{-10.3271} & \multicolumn{1}{c|}{31.2246} & \multicolumn{1}{c|}{4.35099\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 20} & \multicolumn{1}{c|}{70.7765} & \multicolumn{1}{c|}{28.6363} & \multicolumn{1}{c|}{4.53436\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 21} & \multicolumn{1}{c|}{48.4988} & \multicolumn{1}{c|}{30.346} & \multicolumn{1}{c|}{4.12718\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 22} & \multicolumn{1}{c|}{54.3549} & \multicolumn{1}{c|}{31.9416} & \multicolumn{1}{c|}{4.37284\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 23} & \multicolumn{1}{c|}{88.171} & \multicolumn{1}{c|}{30.7686} & \multicolumn{1}{c|}{4.45634\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 24} & \multicolumn{1}{c|}{80.5954} & \multicolumn{1}{c|}{35.4828} & \multicolumn{1}{c|}{2.87575\%} \\ \hline \multicolumn{1}{|c|}{Main det weighted average} & \multicolumn{1}{c|}{22.53\pm 4.26875} & \multicolumn{1}{c|}{Chi2/NDOF = 46.2405/23} & \multicolumn{1}{c|}{Probability = 0.00279174} \\ \hline \end{tabular} \end{table} \end{frame} diff evMon1 maindet weighted average, 22.53 +- 4.26875 diff evMon1 maindet weighted mean, self pull = -0.673274 +- 1.77934 diff evMon1 crex_pitt, time, Value, Value Error diff evMon1 crex_pitt,1,-26.0727,9.92195 diff evMon1 crex_pitt,2,4.75661,11.067 diff evMon1 crex_pitt,3,13.7314,9.06732 diff evMon1 crex_pitt,4,9.5566,9.11559 diff evMon1 crex_pitt,5,10.5626,10.2695 diff evMon1 crex_pitt,6,-6.06576,9.58964 diff evMon1 crex_pitt,7,22.4824,10.0736 diff evMon1 crex_pitt,8,23.8296,10.7857 diff evMon1 crex_pitt,9,30.5817,10.8953 diff evMon1 crex_pitt,10,16.1853,9.36125 diff evMon1 crex_pitt,11,9.98416,8.50069 diff evMon1 crex_pitt,12,-9.34845,9.67783 diff evMon1 crex_pitt,13,18.5928,9.67729 diff evMon1 crex_pitt,14,8.23427,9.68406 diff evMon1 crex_pitt,15,-17.566,9.74116 diff evMon1 crex_pitt,16,33.7292,29.8973 diff evMon1 crex_pitt,17,23.056,34.884 diff evMon1 crex_pitt,18,52.7249,36.1773 diff evMon1 crex_pitt,19,-10.3271,31.2246 diff evMon1 crex_pitt,20,70.7765,28.6363 diff evMon1 crex_pitt,21,48.4988,30.346 diff evMon1 crex_pitt,22,54.3549,31.9416 diff evMon1 crex_pitt,23,88.171,30.7686 diff evMon1 crex_pitt,24,80.5954,35.4828 diff evMon1 total average, 9.21904 +- 2.45128 diff evMon1 pull plot stats = 0.333503 +- 1.5098 diff evMon1 crex_pitt, time, Value, Avg Weight diff evMon1 crex_pitt,1,-26.0727,0.0444748 diff evMon1 crex_pitt,2,4.75661,0.0416725 diff evMon1 crex_pitt,3,13.7314,0.0429636 diff evMon1 crex_pitt,4,9.5566,0.0507571 diff evMon1 crex_pitt,5,10.5626,0.0401544 diff evMon1 crex_pitt,6,-6.06576,0.0414121 diff evMon1 crex_pitt,7,22.4824,0.0417129 diff evMon1 crex_pitt,8,23.8296,0.0415961 diff evMon1 crex_pitt,9,30.5817,0.0400095 diff evMon1 crex_pitt,10,16.1853,0.0404315 diff evMon1 crex_pitt,11,9.98416,0.052268 diff evMon1 crex_pitt,12,-9.34845,0.0397494 diff evMon1 crex_pitt,13,18.5928,0.0382912 diff evMon1 crex_pitt,14,8.23427,0.0405571 diff evMon1 crex_pitt,15,-17.566,0.0344318 diff evMon1 crex_pitt,16,33.7292,0.0406967 diff evMon1 crex_pitt,17,23.056,0.0410447 diff evMon1 crex_pitt,18,52.7249,0.0406021 diff evMon1 crex_pitt,19,-10.3271,0.0435099 diff evMon1 crex_pitt,20,70.7765,0.0453436 diff evMon1 crex_pitt,21,48.4988,0.0412718 diff evMon1 crex_pitt,22,54.3549,0.0437284 diff evMon1 crex_pitt,23,88.171,0.0445634 diff evMon1 crex_pitt,24,80.5954,0.0287575 diff evMon1 maindet weighted average, 22.53 +- 4.26875 diff evMon1 maindet weighted pull (not meaningful) = 0.00916649 +- 1.38802 diff evMon1 crex_pitt, time, Value, Equally weighted Weight diff evMon1 crex_pitt,1,-26.0727,0.0416667 diff evMon1 crex_pitt,2,4.75661,0.0416667 diff evMon1 crex_pitt,3,13.7314,0.0416667 diff evMon1 crex_pitt,4,9.5566,0.0416667 diff evMon1 crex_pitt,5,10.5626,0.0416667 diff evMon1 crex_pitt,6,-6.06576,0.0416667 diff evMon1 crex_pitt,7,22.4824,0.0416667 diff evMon1 crex_pitt,8,23.8296,0.0416667 diff evMon1 crex_pitt,9,30.5817,0.0416667 diff evMon1 crex_pitt,10,16.1853,0.0416667 diff evMon1 crex_pitt,11,9.98416,0.0416667 diff evMon1 crex_pitt,12,-9.34845,0.0416667 diff evMon1 crex_pitt,13,18.5928,0.0416667 diff evMon1 crex_pitt,14,8.23427,0.0416667 diff evMon1 crex_pitt,15,-17.566,0.0416667 diff evMon1 crex_pitt,16,33.7292,0.0416667 diff evMon1 crex_pitt,17,23.056,0.0416667 diff evMon1 crex_pitt,18,52.7249,0.0416667 diff evMon1 crex_pitt,19,-10.3271,0.0416667 diff evMon1 crex_pitt,20,70.7765,0.0416667 diff evMon1 crex_pitt,21,48.4988,0.0416667 diff evMon1 crex_pitt,22,54.3549,0.0416667 diff evMon1 crex_pitt,23,88.171,0.0416667 diff evMon1 crex_pitt,24,80.5954,0.0416667 diff evMon1 tg_equal_weighted = 22.9593 +- 4.33363 diff evMon1 th_pull_equal_weighted = -2.01056e-07 +- 1.38668