Improve: 2019_WZ2 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 18/0 number of iterations: 5 ====================================================================================================================== Iteration: 1 { In_coords Corrections Errors In_elements El_errors 1 0.956999130 0.654E-05 NaN | e 0.254243081 NaN 2 -0.770046633 0.155E-04 NaN | a 1.349293448 NaN 3 0.036792654 0.567E-05 NaN | i 16.147587236 NaN 4 0.006093156 -0.164E-06 NaN | node 240.096167392 NaN 5 0.014007175 0.133E-06 NaN | peri 168.175085296 NaN 6 0.005381061 -0.561E-08 NaN | M 304.187508775 NaN | tp = 2026-02-17.753799 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: 0.24091 Optical RMSE: 0.24091(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 36/36 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 2019 11 24.411431 1.000 C 04 54 54.794 +03 29 09.84 1.012 0.026 -0.664392 -1.187743 0.169602 -0.267646 F52 2 2019 11 24.423014 1.000 C 04 55 00.968 +03 22 18.91 1.012 0.026 -1.164054 -0.672185 -0.334204 0.249400 F52 3 2019 11 24.434967 1.000 C 04 55 07.286 +03 15 14.57 1.012 0.026 -0.766183 -0.967253 0.059407 -0.044177 F52 4 2019 11 24.446707 1.000 C 04 55 13.467 +03 08 19.17 1.012 0.026 -0.587314 -0.821951 0.234112 0.102541 F52 5 2019 11 26.404125 1.000 C 05 12 31.759 -12 17 05.94 1.014 0.033 -0.327001 -0.862519 0.075516 0.008283 F52 6 2019 11 26.415542 1.000 C 05 12 35.469 -12 21 18.93 1.014 0.033 -1.017355 -0.744670 -0.616393 0.125378 F52 7 2019 11 26.427270 1.000 C 05 12 39.251 -12 25 38.75 1.014 0.033 -0.818995 -0.897172 -0.419624 -0.027904 F52 8 2019 11 26.438987 1.000 C 05 12 43.011 -12 29 57.22 1.014 0.033 -0.602022 -0.807180 -0.204236 0.061301 F52 9 2019 11 26.936136 1.000 C 05 16 11.592 -15 20 59.89 1.014 0.036 -0.182255 -0.547332 0.157839 0.281717 J04 10 2019 11 26.936589 1.000 C 05 16 11.723 -15 21 09.08 1.014 0.036 -0.030679 -0.875398 0.309367 -0.046381 J04 11 2019 11 26.937045 1.000 C 05 16 11.871 -15 21 18.13 1.014 0.036 0.040735 -0.908159 0.380731 -0.079174 J04 12 2019 11 27.28214 1.000 C 05 18 03.34 -17 04 52.4 1.015 0.037 -0.293856 -1.001113 0.012536 -0.197961 807 13 2019 11 27.28502 1.000 C 05 18 04.15 -17 05 43.6 1.015 0.037 -0.026232 -0.718658 0.279885 0.084280 807 14 2019 11 27.28782 1.000 C 05 18 04.88 -17 06 33.0 1.015 0.037 -0.407409 -1.074155 -0.101560 -0.271426 807 15 2019 11 27.29056 1.000 C 05 18 05.64 -17 07 21.8 1.015 0.037 -0.053117 -1.048148 0.252470 -0.245625 807 16 2019 11 29.31691 1.000 C 05 28 10.88 -25 05 49.2 1.017 0.046 -0.135215 -0.537483 0.040031 0.121506 807 17 2019 11 29.32040 1.000 C 05 28 11.52 -25 06 27.2 1.017 0.046 -0.324794 -0.494417 -0.149707 0.164357 807 18 2019 11 29.32377 1.000 C 05 28 12.13 -25 07 04.1 1.017 0.046 -0.315570 -0.680419 -0.140636 -0.021853 807 } }