Improve: 2019_NJ2 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 -2.032711206 0.122E-03 0.344E-01 | e 0.473825276 0.17122E-02 2 0.397058136 0.239E-03 0.674E-01 | a 1.506937886 0.41009E-02 3 0.164385381 0.108E-03 0.305E-01 | i 0.805393877 0.18272E-02 4 -0.004682095 -0.212E-05 0.597E-03 | node 333.954527273 0.51412E-01 5 -0.007432062 0.508E-06 0.144E-03 | peri 36.683467084 0.65067E-01 6 -0.003365992 0.213E-06 0.600E-04 | M 126.745927522 0.48643E+01 | tp = 2025-03-28.111763 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: 0.20854 Optical RMSE: 0.20854(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 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 2019 06 29.463826 1.000 C 20 11 21.001 -24 42 30.00 1.172 0.167 -0.438796 0.045557 -0.155844 0.101856 F51 2 2019 06 29.475001 1.000 C 20 11 22.691 -24 42 30.92 1.172 0.167 -0.214412 0.022078 0.068670 0.078438 F51 3 2019 06 29.486222 1.000 C 20 11 24.374 -24 42 31.73 1.172 0.167 -0.151160 0.015886 0.132051 0.072309 F51 4 2019 07 04.46349 1.000 C 20 29 24.368 -24 44 19.74 1.135 0.126 -0.455554 -0.112171 -0.076964 -0.017535 F51 5 2019 07 04.47515 1.000 C 20 29 27.231 -24 44 19.74 1.135 0.126 -0.604778 -0.052731 -0.225956 0.042020 F51 6 2019 07 04.48679 1.000 C 20 29 30.126 -24 44 19.35 1.134 0.126 -0.235333 0.246138 0.143720 0.341006 F51 7 2019 07 05.026844 1.000 C 20 32 05.925 -24 43 59.08 1.130 0.122 -0.568362 -0.363848 -0.175385 -0.263370 J04 8 2019 07 05.031367 1.000 C 20 32 07.159 -24 43 59.35 1.130 0.122 -0.338127 -0.485241 0.054950 -0.384716 J04 9 2019 07 05.035890 1.000 C 20 32 08.370 -24 43 59.55 1.130 0.122 -0.403379 -0.554394 -0.010201 -0.453822 J04 10 2019 07 05.315554 1.000 C 20 33 31.19 -24 43 48.3 1.128 0.120 -0.365231 -0.057361 0.035226 0.046230 H01 11 2019 07 05.320283 1.000 C 20 33 32.50 -24 43 48.1 1.128 0.120 -0.390699 0.065237 0.009866 0.168880 H01 12 2019 07 05.33073 1.000 C 20 33 35.73 -24 43 47.4 1.128 0.120 0.124350 -0.986391 0.525204 -0.882624 F I52 13 2019 07 05.33653 1.000 C 20 33 37.29 -24 43 46.4 1.128 0.119 -0.520718 -0.110528 -0.119732 -0.006698 I52 14 2019 07 05.33959 1.000 C 20 33 38.12 -24 43 46.1 1.128 0.119 -0.764159 0.109657 -0.363103 0.213520 I52 15 2019 07 05.342283 1.000 C 20 33 38.61 -24 43 47.6 1.128 0.119 -0.240244 -0.093083 0.160822 0.010801 H01 16 2019 07 05.550987 1.000 C 20 34 40.760 -24 43 20.13 1.126 0.118 -0.411680 -0.120316 -0.005217 -0.013992 568 17 2019 07 05.551946 1.000 C 20 34 41.032 -24 43 20.02 1.126 0.118 -0.385375 -0.138969 0.021109 -0.032633 568 18 2019 07 05.552906 1.000 C 20 34 41.301 -24 43 19.89 1.126 0.118 -0.404906 -0.138660 0.001600 -0.032312 568 19 2019 07 10.47739 1.000 C 21 11 17.587 -24 16 59.54 1.090 0.081 -0.268772 -0.283822 0.332489 -0.102282 F51 20 2019 07 10.48834 1.000 C 21 11 23.994 -24 16 51.82 1.090 0.081 -0.680659 -0.215733 -0.078867 -0.033976 F51 21 2019 07 10.51025 1.000 C 21 11 36.879 -24 16 35.50 1.089 0.080 -0.867522 0.089524 -0.264671 0.271717 F51 } }