Improve: 2016_SL2 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 26/0 number of iterations: 5 ====================================================================================================================== Iteration: 5 { In_coords Corrections Errors In_elements El_errors 1 -0.889785146 0.398E-04 NaN | e 0.767631351 NaN 2 -0.584316864 0.265E-03 NaN | a 2.061123526 NaN 3 -0.266189755 0.125E-03 NaN | i 1.882706464 0.14648E-03 4 -0.002670603 -0.298E-05 NaN | node 16.719372093 0.11564E-02 5 -0.017842712 -0.195E-05 NaN | peri 91.786506742 0.11884E-02 6 -0.008384392 -0.891E-06 NaN | M 17.590127349 NaN | tp = 2025-09-29.189420 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: 0.31550 Optical RMSE: 0.31550(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 50/52 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 09 25.20509 1.000 C 01 01 14.08 -02 26 26.6 1.060 0.059 -3.097674 -0.357621 0.181737 0.801375 G96 2 2016 09 25.20730 1.000 C 01 01 14.34 -02 26 36.6 1.060 0.059 -3.837223 -0.578234 -0.555993 0.581283 G96 3 2016 09 25.21193 1.000 C 01 01 15.00 -02 26 57.8 1.060 0.059 -3.616088 -1.259034 -0.331043 -0.098422 G96 4 2016 09 25.37909 1.000 C 01 01 37.13 -02 39 47.2 1.058 0.057 -3.431567 -1.210545 -0.004266 -0.009446 G96 5 2016 09 25.38152 1.000 C 01 01 37.53 -02 39 58.9 1.058 0.057 -2.357678 -1.305127 1.071761 F -0.103426 F G96 6 2016 09 25.38368 1.000 C 01 01 37.75 -02 40 09.5 1.058 0.057 -3.445905 -1.578776 -0.014564 -0.376539 G96 7 2016 09 25.38591 1.000 C 01 01 38.06 -02 40 20.0 1.058 0.057 -3.339565 -1.407463 0.093741 -0.204673 G96 8 2016 09 25.90255 1.000 C 01 03 37.33 -03 28 08.0 1.051 0.049 -3.870369 -1.883898 0.095199 -0.538377 587 9 2016 09 25.91567 1.000 C 01 03 40.07 -03 29 30.8 1.050 0.049 -3.370476 -1.439930 0.610669 -0.090344 587 10 2016 09 25.92879 1.000 C 01 03 42.75 -03 30 55.3 1.050 0.049 -3.611909 -2.118380 0.384913 -0.764712 587 11 2016 09 26.26402 1.000 C 01 05 16.66 -04 09 45.6 1.046 0.044 -4.337754 -1.208362 0.105925 0.257936 G96 12 2016 09 26.26666 1.000 C 01 05 17.29 -04 10 06.7 1.046 0.044 -4.553464 -1.661171 -0.105898 -0.193921 G96 13 2016 09 26.26932 1.000 C 01 05 17.93 -04 10 27.1 1.045 0.044 -4.688181 -1.225992 -0.236694 0.242217 G96 14 2016 09 26.27210 1.000 C 01 05 18.63 -04 10 48.9 1.045 0.044 -4.359262 -1.216955 0.096328 0.252258 G96 15 2016 09 26.92371 1.000 C 01 09 30.61 -05 57 55.6 1.036 0.035 -5.241901 -1.842534 0.434175 -0.101588 104 16 2016 09 26.92750 1.000 C 01 09 32.15 -05 58 42.2 1.036 0.035 -5.974163 -1.537146 -0.289112 0.205635 104 17 2016 09 26.93155 1.000 C 01 09 33.87 -05 59 32.6 1.036 0.035 -5.674977 -1.670349 0.019691 0.074397 104 18 2016 09 27.212587 1.000 C 01 12 08.11 -07 04 23.9 1.032 0.031 -6.717666 -1.847668 -0.267003 0.043116 H21 19 2016 09 27.216568 1.000 C 01 12 10.23 -07 05 26.4 1.032 0.031 -6.818996 -1.905323 -0.356277 -0.012345 H21 20 2016 09 27.220123 1.000 C 01 12 12.15 -07 06 22.6 1.032 0.031 -6.561817 -2.173372 -0.088300 -0.278432 H21 21 2016 09 27.62623 1.000 C 01 17 12.55 -09 08 49.7 1.026 0.026 -8.347503 -2.186320 -0.354675 -0.035204 E23 22 2016 09 27.63272 1.000 C 01 17 17.82 -09 11 18.7 1.026 0.026 -7.663639 -1.955713 0.358683 0.199652 E23 23 2016 09 27.63920 1.000 C 01 17 23.06 -09 13 48.7 1.026 0.025 -7.904030 -2.010651 0.147933 0.148962 E23 24 2016 09 28.01841 1.000 C 01 24 53.12 -12 25 59.8 1.021 0.020 -10.121111 -2.563410 0.142603 -0.152303 204 25 2016 09 28.02270 1.000 C 01 24 58.96 -12 28 36.6 1.021 0.020 -10.416341 -2.398491 -0.121265 0.015611 204 26 2016 09 28.02679 1.000 C 01 25 04.59 -12 31 07.0 1.021 0.020 -10.270756 -2.382176 0.054379 0.034779 204 } }