Improve: 2016_PH epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 15/0 number of iterations: 5 ====================================================================================================================== Iteration: 5 { In_coords Corrections Errors In_elements El_errors 1 0.890862992 0.482E-03 NaN | e 0.465042609 NaN 2 -0.673754456 0.442E-03 NaN | a 2.122725709 NaN 3 -0.349186920 0.768E-04 NaN | i 9.328278177 NaN 4 0.014018829 -0.568E-05 NaN | node 123.817165620 NaN 5 0.012839892 0.428E-05 NaN | peri 171.066230987 0.37298E-02 6 0.002219717 0.224E-05 NaN | M 8.233487333 NaN | tp = 2025-10-26.164280 Matrix of Correlation: 1 2 3 4 5 6 1 -1.00 2 -1.00 -1.00 3 -1.00 -1.00 -1.00 4 1.00 1.00 1.00 -1.00 5 -1.00 -1.00 -1.00 1.00 -1.00 6 -1.00 -1.00 -1.00 1.00 -1.00 -1.00 Root mean squared error: 0.27409 Optical RMSE: 0.27409(ang-sec.) Number of loops/max_num in Least Squares on iter 1/10 Number of included/excluded equations on iter 0/0 Number of used/total equations 30/30 number time weight note2 Alpha/delay Delta/doppler r ro O-C_Al/del O-C_Del/dop res_Al/del in_Al res_Del/dop in_Del Obs { 1 2016 08 01.42491 1.000 C 22 02 19.413 -22 24 03.56 1.152 0.144 -6.937358 -1.832431 0.048384 -0.076733 F51 2 2016 08 01.43464 1.000 C 22 02 21.781 -22 24 31.97 1.152 0.144 -6.985173 -1.596173 -0.000711 0.160052 F51 3 2016 08 01.44434 1.000 C 22 02 24.148 -22 25 00.68 1.152 0.144 -6.862140 -1.835748 0.121040 -0.079004 F51 4 2016 08 02.29764 1.000 C 22 06 07.37 -23 04 34.1 1.154 0.146 -6.929372 -2.021534 -0.067470 -0.219866 807 5 2016 08 02.30667 1.000 C 22 06 09.52 -23 04 58.4 1.154 0.146 -6.916173 -1.518253 -0.055536 0.283825 807 6 2016 08 02.31551 1.000 C 22 06 11.63 -23 05 23.1 1.154 0.146 -6.875820 -2.006916 -0.016426 -0.204437 807 7 2016 08 03.26357 1.000 C 22 10 16.10 -23 48 27.3 1.156 0.148 -6.778440 -1.791993 -0.055937 0.056648 807 8 2016 08 03.27029 1.000 C 22 10 17.64 -23 48 45.4 1.156 0.148 -6.773973 -2.061305 -0.052396 -0.212392 807 9 2016 08 03.27705 1.000 C 22 10 19.17 -23 49 03.1 1.156 0.148 -7.037182 -1.867239 -0.316541 -0.018055 807 10 2016 08 07.37020 1.000 C 22 26 21.45 -26 34 07.3 1.165 0.159 -5.942018 -1.649123 0.194760 0.335569 291 11 2016 08 07.37600 1.000 C 22 26 22.59 -26 34 19.6 1.165 0.159 -5.844518 -1.487557 0.291488 0.497229 291 12 2016 08 07.38181 1.000 C 22 26 23.75 -26 34 32.3 1.165 0.159 -5.504836 -1.736418 0.630396 0.248461 291 13 2016 08 09.46251 1.000 C 22 33 37.978 -27 44 48.82 1.170 0.165 -6.076810 -2.206757 -0.225966 -0.190092 F51 14 2016 08 09.47371 1.000 C 22 33 39.963 -27 45 10.49 1.170 0.166 -5.886650 -2.289232 -0.037218 -0.272501 F51 15 2016 08 09.49612 1.000 C 22 33 43.867 -27 45 53.34 1.170 0.166 -6.306918 -2.330433 -0.460328 -0.313586 F51 } }