Improve: 2019_NW2 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 24/0 number of iterations: 5 ====================================================================================================================== Iteration: 1 { In_coords Corrections Errors In_elements El_errors 1 -1.724380729 -0.103E-04 NaN | e 0.583222960 NaN 2 2.774936397 -0.185E-04 NaN | a 2.440043580 NaN 3 1.354171809 -0.622E-05 NaN | i 7.160925584 NaN 4 -0.003958207 0.297E-07 NaN | node 101.013137966 NaN 5 -0.005273246 -0.577E-07 NaN | peri 177.397166264 NaN 6 -0.001610867 -0.276E-07 NaN | M 240.895944852 NaN | tp = 2023-05-04.416495 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: 0.22020 Optical RMSE: 0.22020(ang-sec.) Number of loops/max_num in Least Squares on iter 3/10 Number of included/excluded equations on iter 0/2 Number of used/total equations 46/48 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 07 02.298025 1.000 C 18 07 23.45 -11 04 01.1 1.031 0.015 0.925087 0.839603 0.011299 -0.266321 I41 2 2019 07 02.298372 1.000 C 18 07 24.73 -11 04 12.8 1.031 0.015 1.214327 1.132428 0.300673 0.026332 I41 3 2019 07 02.309422 1.000 C 18 08 06.49 -11 10 27.6 1.031 0.015 0.551750 0.142140 -0.357531 -0.969446 F I41 4 2019 07 02.309769 1.000 C 18 08 07.72 -11 10 39.7 1.031 0.015 0.931189 1.309513 0.022048 0.197754 I41 5 2019 07 02.309873 1.000 C 18 08 08.21 -11 10 44.1 1.031 0.015 -0.592465 0.607832 -1.501564 F -0.503979 I41 6 2019 07 02.310220 1.000 C 18 08 09.42 -11 10 54.8 1.031 0.015 1.113743 1.241070 0.204785 0.129084 I41 7 2019 07 05.524140 1.000 C 21 38 24.546 -30 29 59.96 1.033 0.020 -1.305484 -0.430908 -0.521054 -0.079772 F51 8 2019 07 05.524523 1.000 C 21 38 25.623 -30 30 02.67 1.033 0.020 -0.731637 -0.544638 0.052697 -0.193504 F51 9 2019 07 05.535753 1.000 C 21 38 55.858 -30 31 17.17 1.033 0.020 -0.583837 -0.429957 0.197687 -0.078874 F51 10 2019 07 05.545528 1.000 C 21 39 22.089 -30 32 20.72 1.033 0.020 -0.342029 -0.460460 0.437055 -0.109435 F51 11 2019 07 05.556739 1.000 C 21 39 52.013 -30 33 31.96 1.033 0.020 -0.852343 -0.512540 -0.076051 -0.161600 F51 12 2019 07 06.091694 1.000 C 22 03 38.618 -31 17 13.39 1.033 0.022 -0.907156 -0.642302 -0.256905 -0.301354 J04 13 2019 07 06.092534 1.000 C 22 03 40.537 -31 17 16.75 1.033 0.022 -0.796671 -0.469079 -0.146590 -0.128147 J04 14 2019 07 07.612227 1.000 C 22 52 01.027 -31 55 02.77 1.035 0.028 -0.518015 -0.352126 -0.105765 -0.059884 T12 15 2019 07 07.612732 1.000 C 22 52 01.722 -31 55 02.71 1.035 0.028 -0.377175 -0.315115 0.035021 -0.022890 T12 16 2019 07 07.613358 1.000 C 22 52 02.572 -31 55 02.78 1.035 0.028 -0.358691 -0.404677 0.053437 -0.112473 T12 17 2019 07 09.45853 1.000 C 23 27 43.31 -31 39 06.1 1.037 0.036 -0.205417 -0.061625 0.057323 0.176501 291 18 2019 07 09.46184 1.000 C 23 27 45.90 -31 39 03.4 1.037 0.036 -0.289008 0.180715 -0.026441 0.418757 291 19 2019 07 09.46849 1.000 C 23 27 51.14 -31 38 58.3 1.037 0.036 0.076673 0.124380 0.338893 0.362254 291 20 2019 07 14.593789 1.000 C 00 11 58.278 -30 25 42.90 1.046 0.060 -0.141854 -0.174782 -0.022502 -0.023253 T14 21 2019 07 14.594974 1.000 C 00 11 58.546 -30 25 42.11 1.046 0.060 -0.146200 -0.075633 -0.026861 0.075882 T14 22 2019 07 14.596167 1.000 C 00 11 58.817 -30 25 41.44 1.046 0.060 -0.155648 -0.105979 -0.036323 0.045524 T14 23 2019 08 12.574787 1.000 C 00 33 20.001 -28 53 51.80 1.163 0.200 -0.097223 -0.078365 -0.061771 -0.021998 T14 24 2019 08 12.594870 1.000 C 00 33 18.631 -28 53 49.89 1.164 0.200 -0.042380 -0.036110 -0.006943 0.020240 T14 } }