Improve: 2016_GF2 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 -0.908991472 0.297E-05 NaN | e 0.591542704 NaN 2 -0.345940826 -0.374E-05 NaN | a 2.170079612 NaN 3 -0.127636590 -0.972E-06 NaN | i 7.749601598 NaN 4 0.013137175 0.642E-07 NaN | node 193.212268276 NaN 5 -0.016608082 0.244E-07 NaN | peri 51.128477788 NaN 6 -0.004307386 0.897E-08 NaN | M 350.638770006 NaN | tp = 2025-12-21.362837 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: 0.33663 Optical RMSE: 0.33663(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 50/50 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 2016 04 02.31713 1.000 C 11 05 56.018 -01 30 07.26 1.041 0.045 0.119754 0.242517 0.122871 0.241431 F51 2 2016 04 02.34211 1.000 C 11 05 55.496 -01 26 24.69 1.041 0.045 0.138858 -0.213707 0.141988 -0.214793 F51 3 2016 04 02.35459 1.000 C 11 05 55.205 -01 24 32.55 1.041 0.045 0.003693 -0.220719 0.006829 -0.221806 F51 4 2016 04 03.23910 1.000 C 11 06 50.92 +01 09 38.1 1.035 0.039 -0.046579 0.327224 -0.042932 0.326132 926 5 2016 04 03.24396 1.000 C 11 06 50.92 +01 10 38.1 1.035 0.039 0.297984 0.869463 0.301635 0.868371 926 6 2016 04 03.24882 1.000 C 11 06 50.89 +01 11 36.6 1.035 0.039 0.185376 -0.192012 0.189029 -0.193104 926 7 2016 04 03.397723 1.000 C 11 07 00.280 +01 43 38.11 1.034 0.038 -0.001145 -0.201262 0.002613 -0.202348 568 8 2016 04 03.398757 1.000 C 11 07 00.269 +01 43 51.74 1.034 0.038 -0.032023 0.011087 -0.028265 0.010001 568 9 2016 04 03.399792 1.000 C 11 07 00.254 +01 44 05.08 1.034 0.038 -0.124941 -0.084517 -0.121182 -0.085603 568 10 2016 04 04.24834 1.000 C 11 08 27.50 +05 21 58.6 1.028 0.032 -0.215544 -0.468029 -0.211071 -0.469014 I52 11 2016 04 04.24945 1.000 C 11 08 27.57 +05 22 18.9 1.028 0.032 0.456923 -0.570634 0.461397 -0.571618 I52 12 2016 04 04.25076 1.000 C 11 08 27.59 +05 22 43.3 1.028 0.032 0.313894 -0.260868 0.318369 -0.261852 I52 13 2016 04 04.25375 1.000 C 11 08 27.57 +05 23 38.6 1.028 0.032 -0.999889 0.007902 -0.995410 0.006919 I52 14 2016 04 05.260851 1.000 C 11 11 01.87 +11 59 05.2 1.022 0.025 0.075738 0.362017 0.081486 0.361483 H21 15 2016 04 05.264470 1.000 C 11 11 02.26 +12 00 53.3 1.022 0.025 -0.046691 0.204157 -0.040938 0.203626 H21 16 2016 04 05.268086 1.000 C 11 11 02.66 +12 02 41.7 1.022 0.025 -0.109500 0.254653 -0.103741 0.254125 H21 17 2016 04 05.272064 1.000 C 11 11 03.11 +12 04 41.1 1.021 0.025 -0.142254 0.247987 -0.136489 0.247462 H21 18 2016 04 06.27942 1.000 C 11 16 17.72 +23 32 22.8 1.015 0.018 -0.169125 0.034363 -0.161266 0.035316 I52 19 2016 04 06.27983 1.000 C 11 16 17.83 +23 32 45.0 1.015 0.018 -0.143172 -0.017488 -0.135311 -0.016534 I52 20 2016 04 06.28025 1.000 C 11 16 17.96 +23 33 08.0 1.015 0.018 0.120277 0.183149 0.128138 0.184104 I52 21 2016 04 06.33667 1.000 C 11 16 34.22 +24 24 59.6 1.015 0.018 0.146153 -0.970498 0.154163 -0.969399 291 22 2016 04 06.33816 1.000 C 11 16 34.66 +24 26 24.3 1.015 0.018 -0.064765 0.422447 -0.056751 0.423550 291 23 2016 04 07.268737 1.000 C 11 28 59.93 +44 15 46.2 1.009 0.014 -0.149679 0.137717 -0.138533 0.142579 705 24 2016 04 07.269743 1.000 C 11 29 00.99 +44 17 25.5 1.009 0.014 0.103754 -0.248602 0.114904 -0.243735 705 25 2016 04 07.270754 1.000 C 11 29 02.04 +44 19 06.1 1.009 0.013 0.171961 0.131464 0.183114 0.136337 705 } }