Improve: 2017_UF epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 26/0 number of iterations: 5 ====================================================================================================================== Iteration: 1 { In_coords Corrections Errors In_elements El_errors 1 0.891856218 -0.149E-07 NaN | e 0.769765552 NaN 2 0.229481844 -0.501E-07 NaN | a 2.544440890 NaN 3 0.098069261 -0.229E-07 NaN | i 0.577368098 0.67960E-04 4 0.007276056 0.810E-09 NaN | node 23.675733374 0.65037E-04 5 0.019817876 0.190E-09 NaN | peri 270.885179579 0.53291E-03 6 0.008778034 0.677E-10 NaN | M 9.440173261 NaN | tp = 2025-10-13.125534 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: 0.56685 Optical RMSE: 0.56685(ang-sec.) Number of loops/max_num in Least Squares on iter 10/10 Number of included/excluded equations on iter 0/2 Number of used/total equations 50/52 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 2017 10 16.26082 1.000 C 00 49 57.23 +04 37 37.4 1.012 0.015 -5.191399 -0.495954 -2.171479 F -0.670079 F G96 2 2017 10 16.26601 1.000 C 00 50 05.21 +04 38 59.0 1.012 0.015 -4.195497 -0.033907 -1.190194 -0.205596 G96 3 2017 10 16.27122 1.000 C 00 50 13.15 +04 40 20.4 1.012 0.015 -3.354578 0.202445 -0.363819 0.033175 G96 4 2017 10 16.27641 1.000 C 00 50 21.05 +04 41 41.6 1.012 0.015 -3.738066 0.057774 -0.761666 -0.109112 G96 5 2017 10 16.39823 1.000 C 00 53 09.99 +05 09 58.7 1.014 0.017 -1.959400 0.521646 0.712799 0.402766 I52 6 2017 10 16.39936 1.000 C 00 53 11.45 +05 10 12.6 1.014 0.017 -1.887911 0.746419 0.781732 0.627910 I52 7 2017 10 16.40052 1.000 C 00 53 12.94 +05 10 27.2 1.014 0.017 -1.874976 0.607616 0.792047 0.489487 I52 8 2017 10 16.40168 1.000 C 00 53 14.44 +05 10 41.7 1.014 0.017 -1.986447 0.609162 0.677962 0.491412 I52 9 2017 10 16.82551 1.000 C 01 01 12.70 +06 16 09.1 1.019 0.023 -0.990140 0.280182 0.967279 0.228922 246 10 2017 10 16.82648 1.000 C 01 01 13.43 +06 16 16.8 1.019 0.023 -1.911154 -0.025791 0.045092 -0.076853 246 11 2017 10 16.82716 1.000 C 01 01 13.89 +06 16 23.2 1.019 0.023 -2.282442 -1.472888 -0.327018 -1.523811 246 12 2017 10 16.95274 1.000 C 01 02 35.14 +06 30 45.6 1.021 0.024 -2.097604 -0.631995 -0.283474 -0.658131 K63 13 2017 10 16.95694 1.000 C 01 02 37.52 +06 31 10.9 1.021 0.024 -1.208819 -0.477530 0.600913 -0.502942 K63 14 2017 10 16.96005 1.000 C 01 02 39.32 +06 31 30.0 1.021 0.024 -1.336687 -0.515250 0.469802 -0.540129 K63 15 2017 10 17.37338 1.000 C 01 06 22.94 +07 06 37.5 1.026 0.030 -1.859313 0.344233 -0.403322 0.363951 I52 16 2017 10 17.37380 1.000 C 01 06 23.12 +07 06 39.7 1.026 0.030 -2.388728 -0.032002 -0.933025 -0.012246 I52 17 2017 10 17.37421 1.000 C 01 06 23.24 +07 06 41.4 1.026 0.030 -1.969247 -0.294693 -0.513825 -0.274901 I52 18 2017 10 17.37463 1.000 C 01 06 23.43 +07 06 42.7 1.026 0.030 -2.300909 0.217935 -0.845776 0.237765 I52 19 2017 10 17.90600 1.000 C 01 09 58.21 +07 35 49.7 1.033 0.037 -1.259038 -0.254354 -0.097256 -0.215625 J04 20 2017 10 17.91366 1.000 C 01 10 00.00 +07 36 10.3 1.033 0.037 -1.792618 0.322090 -0.634150 0.361253 J04 21 2017 10 17.92131 1.000 C 01 10 01.65 +07 36 31.2 1.033 0.037 -0.997033 -0.126491 0.158144 -0.086898 J04 22 2017 10 18.90119 1.000 C 01 13 35.77 +08 07 52.2 1.046 0.050 -0.565258 0.073203 0.276969 0.124029 J04 23 2017 10 18.91220 1.000 C 01 13 37.01 +08 08 09.0 1.046 0.050 -0.774711 -0.069013 0.064990 -0.018030 J04 24 2017 10 19.224781 1.000 C 01 14 17.03 +08 14 32.9 1.050 0.054 -0.560856 -0.022547 0.212259 0.028213 H21 25 2017 10 19.238192 1.000 C 01 14 18.19 +08 14 48.8 1.051 0.055 -0.641419 0.168582 0.129074 0.219417 H21 26 2017 10 19.258919 1.000 C 01 14 19.96 +08 15 12.7 1.051 0.055 -0.356309 0.558203 0.410159 0.609133 H21 } }