Improve: 2016_CA248 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 21/0 number of iterations: 5 ====================================================================================================================== Iteration: 2 { In_coords Corrections Errors In_elements El_errors 1 -1.178163059 0.616E-03 NaN | e 0.476896703 NaN 2 0.104330407 0.116E-02 NaN | a 1.803067878 NaN 3 0.071774427 0.432E-03 NaN | i 2.681171206 NaN 4 -0.008206519 -0.159E-04 NaN | node 147.942916399 NaN 5 -0.015338339 0.141E-05 NaN | peri 317.662733185 0.31072E-02 6 -0.005720467 0.979E-06 NaN | M 25.045824202 NaN | tp = 2025-09-20.475319 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: 0.31686 Optical RMSE: 0.31686(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 42/42 number time weight note2 RA/Delay DEC/Doppler r ro O-C_RA/Del O-C_DEC/Dop res_RA/Del in_RA res_DEC/Dop in_DEC Obs { 1 2016 02 15.29271 1.000 C 09 46 02.76 +10 07 56.6 1.022 0.035 36.921904 -181.673533 0.185334 0.235822 G96 2 2016 02 15.29880 1.000 C 09 46 08.82 +10 08 06.5 1.022 0.035 36.350638 -182.540920 0.505910 -0.610892 G96 3 2016 02 15.30489 1.000 C 09 46 14.99 +10 08 16.5 1.022 0.035 34.799716 -181.897077 -0.148513 0.050191 G96 4 2016 02 15.31099 1.000 C 09 46 21.11 +10 08 25.8 1.022 0.035 34.151308 -181.615027 0.105878 0.346029 G96 5 2016 02 15.365010 1.000 C 09 47 26.760 +10 10 35.09 1.022 0.035 23.151080 -181.844794 -0.181201 0.384379 F51 6 2016 02 15.377305 1.000 C 09 47 38.863 +10 10 55.62 1.023 0.035 20.904865 -181.957174 -0.487697 0.206390 F51 7 2016 02 15.37770 1.000 C 09 47 27.47 +10 10 06.9 1.023 0.035 23.730406 -182.028179 -0.081708 -0.158273 G96 8 2016 02 15.37814 1.000 C 09 47 27.91 +10 10 07.6 1.023 0.035 23.580100 -182.004331 -0.162071 -0.136598 G96 9 2016 02 15.37859 1.000 C 09 47 28.36 +10 10 08.0 1.023 0.035 23.715448 -181.853368 0.044847 0.012119 G96 10 2016 02 15.37903 1.000 C 09 47 28.78 +10 10 08.9 1.023 0.035 23.499291 -182.180323 -0.101291 -0.317054 G96 11 2016 02 15.389353 1.000 C 09 47 50.629 +10 11 14.59 1.023 0.035 19.603959 -182.052334 0.122954 0.028215 F51 12 2016 02 16.00883 1.000 C 09 58 03.20 +10 23 26.4 1.025 0.038 -98.534950 -137.117772 -0.241730 -0.362393 J95 13 2016 02 16.01915 1.000 C 09 58 12.15 +10 23 38.6 1.025 0.038 -99.401296 -135.380176 0.302984 0.067988 J95 14 2016 02 16.03717 1.000 C 09 58 27.66 +10 24 00.4 1.026 0.038 -102.011901 -133.027881 0.096967 0.117492 J95 15 2016 02 16.38087 1.000 C 10 03 28.52 +10 31 31.3 1.027 0.039 -135.988804 -85.342225 0.034583 -0.149855 G96 16 2016 02 16.39174 1.000 C 10 03 36.96 +10 31 42.0 1.027 0.039 -136.662468 -84.055384 -0.113631 -0.136737 G96 17 2016 02 16.39796 1.000 C 10 03 41.82 +10 31 47.8 1.027 0.039 -136.579928 -83.160841 0.261446 0.032205 G96 18 2016 02 16.40418 1.000 C 10 03 46.65 +10 31 54.1 1.027 0.039 -137.222769 -82.253783 -0.094635 0.215950 G96 19 2016 02 17.287713 1.000 C 10 15 14.98 +10 45 15.5 1.031 0.043 -143.267350 -9.649458 -0.104198 -0.316445 705 20 2016 02 17.288721 1.000 C 10 15 15.69 +10 45 16.9 1.031 0.043 -142.411268 -8.635549 0.737722 0.654977 705 21 2016 02 17.289727 1.000 C 10 15 16.21 +10 45 17.4 1.031 0.043 -143.798821 -9.489932 -0.663982 -0.241754 705 } }