Improve: 2023_ML3 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 20/0 number of iterations: 5 ====================================================================================================================== Iteration: 3 { In_coords Corrections Errors In_elements El_errors 1 -2.834609181 -0.340E-05 0.210E-02 | e 0.611175073 0.95066E-04 2 -0.157626590 0.314E-05 0.195E-02 | a 2.131226898 0.47424E-03 3 0.209052394 0.176E-05 0.109E-02 | i 5.129311452 0.74793E-03 4 0.004638010 -0.181E-07 0.112E-04 | node 91.445950982 0.94020E-05 5 -0.006156146 0.106E-08 0.640E-06 | peri 240.115384590 0.14341E-03 6 -0.003105644 0.211E-08 0.131E-05 | M 265.945819922 0.88177E-01 | tp = 2023-08-04.475011 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: 0.15700 Optical RMSE: 0.15700(ang-sec.) Number of loops/max_num in Least Squares on iter 10/10 Number of included/excluded equations on iter 0/0 Number of used/total equations 38/40 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 2023 06 21.372189 1.000 C 16 57 55.687 -13 41 59.49 1.042 0.027 0.114289 -0.105601 0.113217 -0.104934 F51 2 2023 06 21.395928 1.000 C 16 57 52.196 -13 43 39.93 1.042 0.027 -0.014565 -0.034602 -0.015637 -0.033931 F51 3 2023 06 21.407796 1.000 C 16 57 50.416 -13 44 30.37 1.042 0.027 -0.080266 0.336308 -0.081337 0.336980 F51 4 2023 06 21.499561 1.000 C 16 57 37.336 -13 50 56.88 1.041 0.026 -0.001529 -0.041584 -0.002597 -0.040906 F52 5 2023 06 21.500197 1.000 C 16 57 37.259 -13 50 59.43 1.041 0.026 0.020203 -0.191456 0.019136 -0.190777 F52 6 2023 06 22.281568 1.000 C 16 57 52.392 -15 09 56.64 1.035 0.019 -0.042569 -0.012957 -0.044090 -0.012477 T14 7 2023 06 22.282545 1.000 C 16 57 52.233 -15 10 04.99 1.035 0.019 -0.047706 -0.044803 -0.049227 -0.044323 T14 8 2023 06 22.283524 1.000 C 16 57 52.071 -15 10 13.44 1.035 0.019 -0.071214 0.004619 -0.072736 0.005099 T14 9 2023 06 22.285027 1.000 C 16 57 51.821 -15 10 26.26 1.035 0.019 -0.027791 -0.058851 -0.029314 -0.058371 T14 10 2023 06 22.96066 1.000 C 16 56 55.74 -17 13 24.0 1.030 0.014 0.376645 0.070360 0.374583 0.070674 M49 11 2023 06 22.96529 1.000 C 16 56 54.30 -17 14 37.0 1.029 0.014 0.694749 0.281638 0.692684 F 0.281952 F M49 12 2023 06 22.96993 1.000 C 16 56 52.94 -17 15 50.7 1.029 0.014 -0.130952 0.276011 -0.133020 0.276325 M49 13 2023 06 23.005150 0.250 B 16 57 24.991 -17 26 10.18 1.029 0.013 1.292517 0.041618 1.290296 0.041885 Y05 14 2023 06 23.011147 0.250 B 16 57 23.335 -17 27 55.48 1.029 0.013 0.051142 -0.491479 0.048917 -0.491210 Y05 15 2023 06 23.260238 1.000 C 16 56 55.647 -19 03 14.06 1.027 0.011 -0.035174 -0.004734 -0.037864 -0.004298 654 16 2023 06 23.264320 1.000 C 16 56 54.183 -19 04 55.12 1.027 0.011 -0.040717 -0.119539 -0.043413 -0.119101 654 17 2023 06 23.290150 1.000 C 16 56 44.636 -19 15 46.61 1.027 0.011 -0.033961 -0.019036 -0.036693 -0.018581 654 18 2023 06 23.294105 1.000 C 16 56 43.142 -19 17 28.08 1.027 0.011 -0.035770 -0.039634 -0.038507 -0.039176 654 19 2023 06 24.03133 0.250 B 16 55 06.422 -30 51 26.78 1.021 0.005 0.142674 0.681860 0.136396 0.684777 X89 20 2023 06 24.03550 0.250 B 16 55 01.370 -31 00 27.54 1.021 0.005 -0.204232 -0.554310 -0.210535 -0.551341 X89 } }