Improve: 2016_PC40 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 24/0 number of iterations: 5 ====================================================================================================================== Iteration: 2 { In_coords Corrections Errors In_elements El_errors 1 -2.513489184 0.425E-07 0.403E-02 | e 0.465590389 0.60574E-04 2 -0.316795728 -0.521E-07 0.497E-02 | a 2.235893902 0.27814E-03 3 -0.079485435 -0.254E-07 0.242E-02 | i 2.035143983 0.19000E-03 4 0.005624880 0.317E-09 0.301E-04 | node 43.431485792 0.11194E-02 5 -0.007502328 0.318E-10 0.310E-05 | peri 275.452255505 0.11793E-02 6 -0.003636718 0.666E-11 0.669E-06 | M 278.878446687 0.18826E+00 | tp = 2023-04-20.007563 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: 0.27494 Optical RMSE: 0.27494(ang-sec.) Number of loops/max_num in Least Squares on iter 10/10 Number of included/excluded equations on iter 0/0 Number of used/total equations 44/48 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 2016 08 11.51178 1.000 C 22 13 09.045 -24 53 05.96 1.197 0.189 0.066569 -0.408601 0.066558 -0.408616 F51 2 2016 08 11.52316 1.000 C 22 13 10.535 -24 52 54.76 1.197 0.189 0.003477 -0.213962 0.003466 -0.213977 F51 3 2016 08 11.53459 1.000 C 22 13 12.020 -24 52 43.78 1.197 0.189 -0.006727 -0.441709 -0.006738 -0.441723 F51 4 2016 08 12.285272 1.000 C 22 15 03.98 -24 40 17.7 1.197 0.189 0.334265 -0.003864 0.334254 -0.003879 W86 5 2016 08 12.293642 1.000 C 22 15 05.06 -24 40 09.4 1.197 0.189 0.225521 -0.100446 0.225510 -0.100461 W86 6 2016 08 12.300329 1.000 C 22 15 05.95 -24 40 02.7 1.197 0.189 0.377914 0.069616 0.377904 0.069602 W86 7 2016 08 12.44799 1.000 C 22 15 27.19 -24 38 22.3 1.197 0.189 -0.047259 0.193802 -0.047269 0.193787 291 8 2016 08 12.44998 1.000 C 22 15 27.45 -24 38 20.1 1.197 0.189 -0.198382 0.284271 -0.198392 0.284256 291 9 2016 08 12.45196 1.000 C 22 15 27.70 -24 38 17.7 1.197 0.189 -0.576647 0.455748 -0.576658 0.455733 291 10 2016 08 13.37270 1.000 C 22 17 43.46 -24 23 26.1 1.197 0.189 -0.611074 1.012470 -0.611084 F 1.012455 F 291 11 2016 08 13.37479 1.000 C 22 17 43.62 -24 23 24.8 1.197 0.189 -1.177433 -0.529301 -1.177443 F -0.529316 F 291 12 2016 08 13.37690 1.000 C 22 17 43.98 -24 23 22.7 1.197 0.189 -0.214353 0.281706 -0.214363 0.281692 291 13 2016 08 26.18281 1.000 C 22 44 28.86 -20 27 15.5 1.209 0.202 -0.119816 -0.180735 -0.119821 -0.180751 807 14 2016 08 26.18809 1.000 C 22 44 29.33 -20 27 09.2 1.209 0.202 -0.216108 -0.051381 -0.216112 -0.051396 807 15 2016 08 26.19412 1.000 C 22 44 29.86 -20 27 02.2 1.209 0.202 -0.187266 -0.085843 -0.187270 -0.085859 807 16 2016 08 29.11866 1.000 C 22 49 24.12 -19 29 09.5 1.214 0.207 0.295049 0.484155 0.295047 0.484140 807 17 2016 08 29.12378 1.000 C 22 49 24.53 -19 29 03.9 1.214 0.207 0.509207 0.240505 0.509205 0.240490 807 18 2016 08 29.12910 1.000 C 22 49 24.93 -19 28 57.9 1.214 0.207 0.435189 -0.258497 0.435187 -0.258512 807 19 2016 08 30.26360 1.000 C 22 51 09.61 -19 06 24.4 1.216 0.209 -0.052449 0.010837 -0.052451 0.010822 807 20 2016 08 30.26847 1.000 C 22 51 09.98 -19 06 18.4 1.216 0.209 -0.140492 -0.064161 -0.140493 -0.064175 807 21 2016 08 30.27343 1.000 C 22 51 10.35 -19 06 12.1 1.216 0.209 -0.436042 -0.177410 -0.436044 -0.177424 807 22 2016 09 21.28281 1.000 C 23 16 50.86 -12 07 17.8 1.277 0.280 -0.097595 -0.076150 -0.097593 -0.076152 807 23 2016 09 21.29592 1.000 C 23 16 51.47 -12 07 03.9 1.277 0.281 0.045546 -0.068928 0.045547 -0.068930 807 24 2016 09 21.30852 1.000 C 23 16 52.08 -12 06 50.5 1.277 0.281 0.027256 0.097373 0.027258 0.097371 807 } }