Improve: 2017_SR17 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 25/0 number of iterations: 5 ====================================================================================================================== Iteration: 5 { In_coords Corrections Errors In_elements El_errors 1 0.155392723 0.324E-02 NaN | e 0.895407274 NaN 2 -0.816508138 -0.304E-02 NaN | a 2.495565793 NaN 3 0.008838157 -0.508E-03 NaN | i 28.397588881 NaN 4 0.017665232 -0.147E-04 NaN | node 155.716844782 NaN 5 -0.016552162 0.774E-04 NaN | peri 5.758761589 NaN 6 -0.002719110 -0.107E-05 NaN | M 7.623350669 NaN | tp = 2025-10-21.507337 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: 0.26516 Optical RMSE: 0.26516(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 49/50 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 2017 09 25.56803 1.000 C 04 00 15.489 -24 52 30.22 1.514 0.754 5.091608 0.154283 -0.021090 0.212697 F51 2 2017 09 25.57988 1.000 C 04 00 16.833 -24 53 08.56 1.514 0.753 5.131102 0.009156 0.016483 0.067978 F51 3 2017 09 25.59170 1.000 C 04 00 18.165 -24 53 46.69 1.514 0.753 5.051000 -0.030785 -0.065534 0.028444 F51 4 2017 09 25.60351 1.000 C 04 00 19.514 -24 54 24.73 1.514 0.753 5.210593 -0.021132 0.092147 0.038503 F51 5 2017 09 27.038120 1.000 C 04 03 13.27 -26 13 29.0 1.493 0.729 5.539122 -0.159890 0.178928 -0.049811 K91 6 2017 09 27.042892 1.000 C 04 03 13.83 -26 13 45.2 1.493 0.729 5.428364 -0.060895 0.067348 0.049366 K91 7 2017 09 27.047669 1.000 C 04 03 14.40 -26 14 01.4 1.493 0.729 5.445998 0.054330 0.084159 0.164772 K91 8 2017 09 27.27442 1.000 C 04 03 42.65 -26 26 57.6 1.489 0.725 5.355474 -0.113371 -0.045852 0.005529 807 9 2017 09 27.27701 1.000 C 04 03 42.94 -26 27 06.7 1.489 0.725 5.072617 -0.278172 -0.329161 -0.159173 807 10 2017 09 27.27949 1.000 C 04 03 43.24 -26 27 15.6 1.489 0.725 5.102312 -0.622669 -0.299897 -0.503573 807 11 2017 09 27.46154 1.000 C 04 04 05.67 -26 37 54.1 1.487 0.722 5.543547 0.285199 0.109624 0.411515 926 12 2017 09 27.46947 1.000 C 04 04 06.61 -26 38 22.0 1.487 0.722 5.347142 -0.168662 -0.088165 -0.042037 926 13 2017 09 27.47742 1.000 C 04 04 07.60 -26 38 49.2 1.486 0.722 5.784114 0.143431 0.347421 0.270365 926 14 2017 09 27.58029 1.000 C 04 04 20.589 -26 44 44.77 1.485 0.720 5.274530 0.212211 -0.180411 0.343034 F51 15 2017 09 28.45690 1.000 C 04 06 12.46 -27 36 27.0 1.472 0.706 5.808488 -0.810305 0.195806 -0.644826 I52 16 2017 09 28.45766 1.000 C 04 06 12.52 -27 36 29.4 1.472 0.706 5.347907 -0.477365 -0.264912 -0.311856 I52 17 2017 09 28.46402 1.000 C 04 06 13.32 -27 36 52.5 1.472 0.706 5.451930 -0.708234 -0.162044 -0.542460 I52 18 2017 09 28.46492 1.000 C 04 06 13.49 -27 36 54.9 1.472 0.706 6.221276 0.127783 0.607139 0.293594 I52 19 2017 10 01.41130 1.000 C 04 12 57.15 -30 43 49.4 1.428 0.661 5.839504 -0.314420 -0.347122 -0.018656 926 20 2017 10 01.41748 1.000 C 04 12 58.03 -30 44 14.0 1.428 0.661 6.051354 0.008229 -0.136535 0.304296 926 21 2017 10 01.42665 1.000 C 04 12 59.34 -30 44 51.2 1.428 0.661 6.422397 -0.216019 0.232632 0.080498 926 22 2017 10 27.62605 1.000 C 08 02 37.95 -71 18 55.1 0.998 0.426 12.240891 6.270994 0.026293 0.111091 474 23 2017 10 27.62703 1.000 C 08 02 39.64 -71 18 58.7 0.998 0.426 12.168920 6.156921 -0.045203 -0.004402 474 24 2017 10 27.62899 1.000 C 08 02 43.07 -71 19 05.5 0.998 0.426 12.263910 6.324872 0.050741 0.160711 474 25 2017 10 27.63070 1.000 C 08 02 46.28 -71 19 12.1 0.998 0.426 13.390168 5.799787 1.177830 F -0.366850 474 } }