\begin{frame}[allowframebreaks] \frametitle{overload_reg_asym_manual_main_det crex_pitt} \begin{figure} \centering \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_overload_det_asyms_det_weighted_overload_reg_asym_manual_main_det_crex_pitt_wise_IncludeBMOD_main_det_corrections.pdf} \caption{Main detector weighted average overload_reg_asym_manual_main_det ( ppb) vs. crex_pitt.} \label{fig:overload_reg_asym_manual_main_det_crex_pitt_p0} \end{figure} \begin{figure} \centering \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_overload_det_asyms_det_weighted_overload_reg_asym_manual_main_det_crex_pitt_wise_IncludeBMOD_main_det_corrections.pdf} \caption{Main detector weighted average overload_reg_asym_manual_main_det ( ppb) vs. crex_pitt pull.} \label{fig:overload_reg_asym_manual_main_det_crex_pitt_pull} \end{figure} \begin{table} \caption{overload_reg_asym_manual_main_det 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|}{2382.5} & \multicolumn{1}{c|}{437.808} & \multicolumn{1}{c|}{4.42884\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 2} & \multicolumn{1}{c|}{1776.41} & \multicolumn{1}{c|}{474.454} & \multicolumn{1}{c|}{4.15034\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 3} & \multicolumn{1}{c|}{2871.02} & \multicolumn{1}{c|}{453.404} & \multicolumn{1}{c|}{4.30068\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 4} & \multicolumn{1}{c|}{1973.95} & \multicolumn{1}{c|}{421.442} & \multicolumn{1}{c|}{5.07579\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 5} & \multicolumn{1}{c|}{1582.75} & \multicolumn{1}{c|}{488.172} & \multicolumn{1}{c|}{4.00112\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 6} & \multicolumn{1}{c|}{1980.35} & \multicolumn{1}{c|}{488.514} & \multicolumn{1}{c|}{4.13381\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 7} & \multicolumn{1}{c|}{1515.55} & \multicolumn{1}{c|}{432.654} & \multicolumn{1}{c|}{4.15588\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 8} & \multicolumn{1}{c|}{2060.29} & \multicolumn{1}{c|}{455.667} & \multicolumn{1}{c|}{4.1438\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 9} & \multicolumn{1}{c|}{1950.4} & \multicolumn{1}{c|}{473.765} & \multicolumn{1}{c|}{3.98398\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 10} & \multicolumn{1}{c|}{2583.58} & \multicolumn{1}{c|}{461.669} & \multicolumn{1}{c|}{4.02621\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 11} & \multicolumn{1}{c|}{1363.7} & \multicolumn{1}{c|}{416.838} & \multicolumn{1}{c|}{5.21768\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 12} & \multicolumn{1}{c|}{2126.71} & \multicolumn{1}{c|}{463.137} & \multicolumn{1}{c|}{3.95805\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 13} & \multicolumn{1}{c|}{2168.67} & \multicolumn{1}{c|}{469.155} & \multicolumn{1}{c|}{3.81806\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 14} & \multicolumn{1}{c|}{1506.86} & \multicolumn{1}{c|}{483.793} & \multicolumn{1}{c|}{4.04204\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 15} & \multicolumn{1}{c|}{2537.44} & \multicolumn{1}{c|}{469.992} & \multicolumn{1}{c|}{3.68851\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 16} & \multicolumn{1}{c|}{1575.89} & \multicolumn{1}{c|}{460.278} & \multicolumn{1}{c|}{4.05237\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 17} & \multicolumn{1}{c|}{1937.29} & \multicolumn{1}{c|}{467.481} & \multicolumn{1}{c|}{4.0888\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 18} & \multicolumn{1}{c|}{2659.64} & \multicolumn{1}{c|}{471.65} & \multicolumn{1}{c|}{4.04928\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 19} & \multicolumn{1}{c|}{2744.1} & \multicolumn{1}{c|}{445.004} & \multicolumn{1}{c|}{4.3325\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 20} & \multicolumn{1}{c|}{2600.05} & \multicolumn{1}{c|}{428.825} & \multicolumn{1}{c|}{4.52201\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 21} & \multicolumn{1}{c|}{2029.46} & \multicolumn{1}{c|}{455.481} & \multicolumn{1}{c|}{4.11164\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 22} & \multicolumn{1}{c|}{2056.37} & \multicolumn{1}{c|}{444.751} & \multicolumn{1}{c|}{4.36861\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 23} & \multicolumn{1}{c|}{2129.48} & \multicolumn{1}{c|}{435.694} & \multicolumn{1}{c|}{4.43738\%} \\ \hline \multicolumn{1}{|c|}{crex_pitt 24} & \multicolumn{1}{c|}{1757.2} & \multicolumn{1}{c|}{537.166} & \multicolumn{1}{c|}{2.91264\%} \\ \hline \multicolumn{1}{|c|}{Main det weighted average} & \multicolumn{1}{c|}{2077\pm 93.5834} & \multicolumn{1}{c|}{Chi2/NDOF = 20.2433/23} & \multicolumn{1}{c|}{Probability = 0.627191} \\ \hline \end{tabular} \end{table} \end{frame} Plain Overload Regression Apv maindet weighted average, 2077 +- 93.5834 Plain Overload Regression Apv maindet weighted mean, self pull = 0.00791291 +- 0.919294 Plain Overload Regression Apv crex_pitt, time, Value, Value Error Plain Overload Regression Apv crex_pitt,1,2382.5,437.808 Plain Overload Regression Apv crex_pitt,2,1776.41,474.454 Plain Overload Regression Apv crex_pitt,3,2871.02,453.404 Plain Overload Regression Apv crex_pitt,4,1973.95,421.442 Plain Overload Regression Apv crex_pitt,5,1582.75,488.172 Plain Overload Regression Apv crex_pitt,6,1980.35,488.514 Plain Overload Regression Apv crex_pitt,7,1515.55,432.654 Plain Overload Regression Apv crex_pitt,8,2060.29,455.667 Plain Overload Regression Apv crex_pitt,9,1950.4,473.765 Plain Overload Regression Apv crex_pitt,10,2583.58,461.669 Plain Overload Regression Apv crex_pitt,11,1363.7,416.838 Plain Overload Regression Apv crex_pitt,12,2126.71,463.137 Plain Overload Regression Apv crex_pitt,13,2168.67,469.155 Plain Overload Regression Apv crex_pitt,14,1506.86,483.793 Plain Overload Regression Apv crex_pitt,15,2537.44,469.992 Plain Overload Regression Apv crex_pitt,16,1575.89,460.278 Plain Overload Regression Apv crex_pitt,17,1937.29,467.481 Plain Overload Regression Apv crex_pitt,18,2659.64,471.65 Plain Overload Regression Apv crex_pitt,19,2744.1,445.004 Plain Overload Regression Apv crex_pitt,20,2600.05,428.825 Plain Overload Regression Apv crex_pitt,21,2029.46,455.481 Plain Overload Regression Apv crex_pitt,22,2056.37,444.751 Plain Overload Regression Apv crex_pitt,23,2129.48,435.694 Plain Overload Regression Apv crex_pitt,24,1757.2,537.166 Plain Overload Regression Apv total average, 2082.66 +- 93.4561 Plain Overload Regression Apv pull plot stats = -0.00443603 +- 0.919234 Plain Overload Regression Apv crex_pitt, time, Value, Avg Weight Plain Overload Regression Apv crex_pitt,1,2382.5,0.0442884 Plain Overload Regression Apv crex_pitt,2,1776.41,0.0415034 Plain Overload Regression Apv crex_pitt,3,2871.02,0.0430068 Plain Overload Regression Apv crex_pitt,4,1973.95,0.0507579 Plain Overload Regression Apv crex_pitt,5,1582.75,0.0400112 Plain Overload Regression Apv crex_pitt,6,1980.35,0.0413381 Plain Overload Regression Apv crex_pitt,7,1515.55,0.0415588 Plain Overload Regression Apv crex_pitt,8,2060.29,0.041438 Plain Overload Regression Apv crex_pitt,9,1950.4,0.0398398 Plain Overload Regression Apv crex_pitt,10,2583.58,0.0402621 Plain Overload Regression Apv crex_pitt,11,1363.7,0.0521768 Plain Overload Regression Apv crex_pitt,12,2126.71,0.0395805 Plain Overload Regression Apv crex_pitt,13,2168.67,0.0381806 Plain Overload Regression Apv crex_pitt,14,1506.86,0.0404204 Plain Overload Regression Apv crex_pitt,15,2537.44,0.0368851 Plain Overload Regression Apv crex_pitt,16,1575.89,0.0405237 Plain Overload Regression Apv crex_pitt,17,1937.29,0.040888 Plain Overload Regression Apv crex_pitt,18,2659.64,0.0404928 Plain Overload Regression Apv crex_pitt,19,2744.1,0.043325 Plain Overload Regression Apv crex_pitt,20,2600.05,0.0452201 Plain Overload Regression Apv crex_pitt,21,2029.46,0.0411164 Plain Overload Regression Apv crex_pitt,22,2056.37,0.0436861 Plain Overload Regression Apv crex_pitt,23,2129.48,0.0443738 Plain Overload Regression Apv crex_pitt,24,1757.2,0.0291264 Plain Overload Regression Apv maindet weighted average, 2077 +- 93.5834 Plain Overload Regression Apv maindet weighted pull (not meaningful) = 0.00173418 +- 0.918406 Plain Overload Regression Apv crex_pitt, time, Value, Equally weighted Weight Plain Overload Regression Apv crex_pitt,1,2382.5,0.0416667 Plain Overload Regression Apv crex_pitt,2,1776.41,0.0416667 Plain Overload Regression Apv crex_pitt,3,2871.02,0.0416667 Plain Overload Regression Apv crex_pitt,4,1973.95,0.0416667 Plain Overload Regression Apv crex_pitt,5,1582.75,0.0416667 Plain Overload Regression Apv crex_pitt,6,1980.35,0.0416667 Plain Overload Regression Apv crex_pitt,7,1515.55,0.0416667 Plain Overload Regression Apv crex_pitt,8,2060.29,0.0416667 Plain Overload Regression Apv crex_pitt,9,1950.4,0.0416667 Plain Overload Regression Apv crex_pitt,10,2583.58,0.0416667 Plain Overload Regression Apv crex_pitt,11,1363.7,0.0416667 Plain Overload Regression Apv crex_pitt,12,2126.71,0.0416667 Plain Overload Regression Apv crex_pitt,13,2168.67,0.0416667 Plain Overload Regression Apv crex_pitt,14,1506.86,0.0416667 Plain Overload Regression Apv crex_pitt,15,2537.44,0.0416667 Plain Overload Regression Apv crex_pitt,16,1575.89,0.0416667 Plain Overload Regression Apv crex_pitt,17,1937.29,0.0416667 Plain Overload Regression Apv crex_pitt,18,2659.64,0.0416667 Plain Overload Regression Apv crex_pitt,19,2744.1,0.0416667 Plain Overload Regression Apv crex_pitt,20,2600.05,0.0416667 Plain Overload Regression Apv crex_pitt,21,2029.46,0.0416667 Plain Overload Regression Apv crex_pitt,22,2056.37,0.0416667 Plain Overload Regression Apv crex_pitt,23,2129.48,0.0416667 Plain Overload Regression Apv crex_pitt,24,1757.2,0.0416667 Plain Overload Regression Apv tg_equal_weighted = 2077.9 +- 94.014 Plain Overload Regression Apv th_pull_equal_weighted = -3.46913e-07 +- 0.903909