Improve: 2019_JE5 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 21/0 number of iterations: 5 ====================================================================================================================== Iteration: 5 { In_coords Corrections Errors In_elements El_errors 1 -0.936288031 0.440E-04 NaN | e 0.574435188 NaN 2 0.188681342 0.283E-03 NaN | a 2.234290448 NaN 3 0.154141378 0.133E-03 NaN | i 4.157009145 NaN 4 -0.002945422 -0.444E-05 NaN | node 57.043348668 0.10447E-03 5 -0.019624113 0.862E-06 NaN | peri 126.512966114 0.32019E-03 6 -0.009246734 0.715E-06 NaN | M 356.047259082 NaN | tp = 2025-12-04.393797 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: 0.39854 Optical RMSE: 0.39854(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 41/42 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 2019 05 03.31123 1.000 C 13 23 47.65 +33 36 58.4 1.028 0.032 -147.882595 43.766869 -0.200036 0.796447 703 2 2019 05 03.32171 1.000 C 13 24 07.82 +33 31 37.4 1.028 0.032 -147.437083 42.388509 0.236356 -0.761228 703 3 2019 05 03.32694 1.000 C 13 24 17.83 +33 28 58.4 1.028 0.032 -147.828004 43.105703 -0.159643 -0.133160 703 4 2019 05 08.44494 1.000 C 15 04 58.414 -00 39 10.53 1.055 0.047 -97.117025 42.987920 0.171899 0.003869 F51 5 2019 05 08.45580 1.000 C 15 05 04.599 -00 41 56.88 1.055 0.048 -96.992956 42.950808 0.183337 0.034416 F51 6 2019 05 08.46664 1.000 C 15 05 10.762 -00 44 42.80 1.055 0.048 -96.934795 42.676995 0.128852 -0.171765 F51 7 2019 05 08.47746 1.000 C 15 05 16.903 -00 47 27.46 1.055 0.048 -96.996367 42.997555 -0.045383 0.216395 F51 8 2019 05 09.40382 1.000 C 15 14 24.260 -04 23 01.64 1.060 0.052 -87.757755 37.577775 0.135856 0.279134 F51 9 2019 05 09.41607 1.000 C 15 14 30.028 -04 25 38.06 1.060 0.052 -87.582049 37.393799 0.201758 0.162792 F51 10 2019 05 09.42831 1.000 C 15 14 35.763 -04 28 13.88 1.060 0.052 -87.502130 37.249979 0.171779 0.086581 F51 11 2019 05 10.94149 1.000 C 15 26 24.87 -09 08 07.3 1.069 0.060 -75.707580 29.895549 -0.395518 0.249806 K88 12 2019 05 10.94659 1.000 C 15 26 26.73 -09 08 56.6 1.069 0.060 -76.018159 29.518970 -0.742697 -0.104809 K88 13 2019 05 11.001927 1.000 C 15 26 47.76 -09 17 40.4 1.070 0.060 -74.946030 29.334361 -0.066233 -0.052596 L01 14 2019 05 11.004561 1.000 C 15 26 48.72 -09 18 04.8 1.070 0.060 -74.924726 29.865724 -0.063815 0.490039 L01 15 2019 05 11.007200 1.000 C 15 26 49.60 -09 18 30.1 1.070 0.060 -76.114182 29.528108 -1.272195 0.163716 F L01 16 2019 05 11.03583 1.000 C 15 27 00.43 -09 22 58.8 1.070 0.061 -74.259784 29.093864 0.377870 -0.148682 104 17 2019 05 11.04003 1.000 C 15 27 01.93 -09 23 38.5 1.070 0.061 -74.621866 28.827957 -0.014335 -0.396671 104 18 2019 05 11.04693 1.000 C 15 27 04.40 -09 24 43.3 1.070 0.061 -75.157422 28.723711 -0.599391 -0.471489 104 19 2019 05 11.45874 1.000 C 15 29 47.488 -10 26 23.25 1.072 0.063 -71.463094 27.547078 0.259032 0.036299 F51 20 2019 05 11.47325 1.000 C 15 29 52.168 -10 28 29.73 1.072 0.063 -71.360268 27.685284 0.265273 0.231328 F51 21 2019 05 11.48775 1.000 C 15 29 56.850 -10 30 36.05 1.072 0.063 -71.215077 27.379126 0.313776 -0.018073 F51 } }