Improve: 2016_PF1 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 22/0 number of iterations: 5 ====================================================================================================================== Iteration: 2 { In_coords Corrections Errors In_elements El_errors 1 -3.161502223 -0.579E-07 0.883E-03 | e 0.514312170 0.21512E-04 2 -0.254264482 0.104E-06 0.158E-02 | a 2.290658972 0.10527E-03 3 0.411400514 0.421E-07 0.641E-03 | i 10.412561535 0.27043E-03 4 0.002898559 -0.459E-09 0.699E-05 | node 125.815393717 0.63031E-04 5 -0.006436946 -0.176E-10 0.265E-06 | peri 212.835023249 0.14493E-03 6 -0.002454897 0.665E-10 0.101E-05 | M 238.397501083 0.67939E-01 | tp = 2023-08-05.432010 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: 0.22316 Optical RMSE: 0.22316(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 44/44 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 2016 08 02.47592 1.000 C 22 51 26.203 -19 08 41.58 1.149 0.151 0.213652 -0.000551 0.213612 -0.000559 F51 2 2016 08 02.49965 1.000 C 22 51 36.431 -19 09 53.14 1.149 0.151 -0.221451 0.173130 -0.221492 0.173121 F51 3 2016 08 02.51152 1.000 C 22 51 41.548 -19 10 28.85 1.149 0.151 -0.388591 0.199248 -0.388632 0.199240 F51 4 2016 08 03.19866 1.000 C 22 56 59.52 -19 44 00.0 1.147 0.149 0.117604 -0.303222 0.117562 -0.303232 807 5 2016 08 03.20081 1.000 C 22 57 00.48 -19 44 06.5 1.147 0.149 0.163718 -0.233780 0.163676 -0.233790 807 6 2016 08 03.20223 1.000 C 22 57 01.13 -19 44 11.0 1.147 0.149 0.419304 -0.398857 0.419262 -0.398867 807 7 2016 08 05.35054 1.000 C 23 14 00.80 -21 31 02.1 1.142 0.146 -0.002970 -0.035166 -0.003015 -0.035180 807 8 2016 08 05.35311 1.000 C 23 14 01.99 -21 31 09.6 1.142 0.146 -0.083167 -0.059820 -0.083213 -0.059835 807 9 2016 08 05.35589 1.000 C 23 14 03.29 -21 31 17.6 1.142 0.146 -0.003686 0.028833 -0.003732 0.028819 807 10 2016 08 07.39290 1.000 C 23 30 52.74 -23 09 43.8 1.137 0.144 -0.064496 -0.077403 -0.064543 -0.077421 807 11 2016 08 07.39837 1.000 C 23 30 55.38 -23 09 58.2 1.137 0.144 -0.233202 0.608007 -0.233250 0.607988 807 12 2016 08 07.40362 1.000 C 23 30 57.93 -23 10 13.1 1.137 0.144 -0.109784 0.187313 -0.109832 0.187294 807 13 2016 08 09.51870 1.000 C 23 48 59.070 -24 47 46.77 1.132 0.143 0.090953 -0.201329 0.090904 -0.201353 F51 14 2016 08 09.52771 1.000 C 23 49 03.460 -24 48 10.38 1.132 0.143 -0.062535 0.103199 -0.062584 0.103176 F51 15 2016 08 09.53670 1.000 C 23 49 07.841 -24 48 34.05 1.132 0.143 -0.167358 0.214220 -0.167407 0.214196 F51 16 2016 08 14.38568 1.000 C 00 30 46.25 -27 55 57.9 1.123 0.144 0.398040 0.165183 0.397992 0.165150 807 17 2016 08 14.38927 1.000 C 00 30 47.98 -27 56 05.2 1.123 0.144 0.232401 -0.256830 0.232354 -0.256863 807 18 2016 08 14.39282 1.000 C 00 30 49.67 -27 56 11.8 1.123 0.144 -0.312189 -0.123922 -0.312237 -0.123955 807 19 2016 11 03.436182 1.000 C 03 07 21.851 -19 45 09.14 1.353 0.418 -0.007148 -0.037203 -0.007148 -0.037213 T12 20 2016 11 03.441892 1.000 C 03 07 21.495 -19 45 01.46 1.353 0.418 0.032837 -0.024029 0.032837 -0.024038 T12 21 2016 11 03.450737 1.000 C 03 07 20.944 -19 44 49.42 1.353 0.418 -0.025971 0.030514 -0.025971 0.030504 T12 22 2016 11 03.461794 1.000 C 03 07 20.251 -19 44 34.48 1.353 0.418 0.023281 0.001827 0.023281 0.001817 T12 } }