Improve: 2016_SE2 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 20/0 number of iterations: 5 ====================================================================================================================== Iteration: 1 { In_coords Corrections Errors In_elements El_errors 1 0.905237395 0.683E-05 NaN | e 0.610413678 NaN 2 -0.643964408 0.119E-04 NaN | a 2.780163401 NaN 3 -0.366830157 0.794E-05 NaN | i 9.326801910 NaN 4 0.008620913 -0.133E-06 NaN | node 345.659451909 NaN 5 0.015021582 0.945E-07 NaN | peri 11.370072880 0.40866E-03 6 0.009973115 0.536E-07 NaN | M 352.637528996 NaN | tp = 2025-12-25.627808 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: 0.43042 Optical RMSE: 0.43042(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 40/40 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 09 25.09109 1.000 C 22 41 01.74 +26 01 13.0 1.082 0.093 -0.266800 0.937741 -0.343379 0.313122 G96 2 2016 09 25.09536 1.000 C 22 41 03.13 +26 01 51.9 1.082 0.093 0.662136 0.878145 0.585688 0.253570 G96 3 2016 09 25.09992 1.000 C 22 41 04.73 +26 02 33.2 1.082 0.093 0.395221 -0.208186 0.318913 -0.832714 G96 4 2016 09 25.10422 1.000 C 22 41 06.16 +26 03 10.0 1.082 0.093 -0.703222 0.959290 -0.779399 0.334806 G96 5 2016 09 25.14433 1.000 C 22 41 19.40 +26 09 08.2 1.082 0.093 0.442526 0.258990 0.367560 -0.365070 G96 6 2016 09 25.14688 1.000 C 22 41 20.23 +26 09 30.8 1.082 0.093 0.486142 0.311436 0.411252 -0.312596 G96 7 2016 09 25.14953 1.000 C 22 41 21.09 +26 09 53.2 1.082 0.093 -0.237683 1.117192 -0.312494 0.493188 G96 8 2016 09 25.15219 1.000 C 22 41 21.97 +26 10 17.3 1.082 0.093 0.060732 0.640026 -0.014000 0.016051 G96 9 2016 09 26.14990 1.000 C 22 47 20.36 +28 31 15.1 1.083 0.095 0.230824 0.955847 0.184374 0.345029 G96 10 2016 09 26.15189 1.000 C 22 47 21.08 +28 31 31.5 1.083 0.095 -0.490451 0.428234 -0.536853 -0.182556 G96 11 2016 09 26.15392 1.000 C 22 47 21.69 +28 31 49.8 1.083 0.095 1.033593 0.116085 0.987240 -0.494676 G96 12 2016 09 27.082887 1.000 C 22 52 56.40 +30 35 01.2 1.084 0.097 -0.438233 1.076760 -0.462878 0.480676 H21 13 2016 09 27.089524 1.000 C 22 52 58.62 +30 35 53.3 1.084 0.097 -0.538268 0.940018 -0.562780 0.344041 H21 14 2016 09 27.095142 1.000 C 22 53 00.50 +30 36 37.9 1.084 0.097 -0.221108 0.432757 -0.245507 -0.163129 H21 15 2016 09 30.24622 1.000 C 23 11 51.89 +36 38 55.9 1.087 0.106 0.294064 0.231645 0.316852 -0.306168 926 16 2016 09 30.24994 1.000 C 23 11 53.08 +36 39 18.2 1.087 0.106 0.030242 0.450381 0.053061 -0.087362 926 17 2016 09 30.25366 1.000 C 23 11 54.26 +36 39 40.7 1.087 0.106 0.025247 0.651840 0.048097 0.114167 926 18 2016 10 14.261690 1.000 C 00 27 01.17 +49 49 04.0 1.122 0.162 -0.487490 0.294298 -0.448096 -0.030445 705 19 2016 10 14.262708 1.000 C 00 27 01.41 +49 49 06.1 1.122 0.162 0.167399 0.136493 0.206790 -0.188240 705 20 2016 10 14.263721 1.000 C 00 27 01.61 +49 49 07.4 1.122 0.162 0.193102 0.588115 0.232490 0.263393 705 } }