Improve: 2016_HT6 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 25/0 number of iterations: 5 ====================================================================================================================== Iteration: 3 { In_coords Corrections Errors In_elements El_errors 1 1.295901611 0.379E-04 NaN | e 0.376874032 NaN 2 -0.540617949 0.559E-03 NaN | a 1.171298254 NaN 3 -0.176317353 0.203E-03 NaN | i 3.510678318 NaN 4 0.001108543 -0.609E-05 NaN | node 194.286418048 0.15084E-01 5 0.012037613 0.267E-05 NaN | peri 282.343168126 NaN 6 0.004407953 0.895E-06 NaN | M 254.462545782 NaN | tp = 2024-12-28.718816 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: 0.35962 Optical RMSE: 0.35962(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 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 04 29.34308 1.000 C 14 16 04.46 +05 40 52.7 1.089 0.087 2.596108 3.431001 0.318404 -0.640618 G96 2 2016 04 29.34925 1.000 C 14 16 03.58 +05 40 40.4 1.089 0.087 2.592138 4.121066 0.313820 0.052176 G96 3 2016 04 29.35542 1.000 C 14 16 02.74 +05 40 27.5 1.090 0.087 1.922668 4.353151 -0.356260 0.286990 G96 4 2016 04 29.36159 1.000 C 14 16 01.89 +05 40 15.6 1.090 0.087 2.274783 4.652512 -0.004747 0.589080 G96 5 2016 04 29.41553 1.000 C 14 15 54.97 +05 38 29.7 1.090 0.088 2.221943 3.732978 -0.062567 -0.306602 291 6 2016 04 29.41854 1.000 C 14 15 54.57 +05 38 23.2 1.090 0.088 1.729427 4.101605 -0.555346 0.063357 291 7 2016 04 30.22505 1.000 C 14 14 44.80 +05 13 28.4 1.095 0.093 2.268065 3.577470 -0.056809 -0.126277 926 8 2016 04 30.23740 1.000 C 14 14 43.32 +05 13 06.5 1.095 0.093 2.016499 3.556826 -0.309300 -0.142070 926 9 2016 04 30.24975 1.000 C 14 14 41.79 +05 12 45.7 1.095 0.093 2.974501 3.922541 0.647780 0.228498 926 10 2016 04 30.34869 1.000 C 14 14 29.86 +05 09 50.4 1.096 0.094 2.516419 4.224469 0.182697 0.569366 291 11 2016 04 30.35128 1.000 C 14 14 29.59 +05 09 46.0 1.096 0.094 2.566547 3.639366 0.232653 -0.014716 291 12 2016 04 30.35303 1.000 C 14 14 29.34 +05 09 42.4 1.096 0.094 2.728459 3.327264 0.394420 -0.326114 G96 13 2016 04 30.35389 1.000 C 14 14 29.31 +05 09 41.1 1.096 0.094 2.186368 3.267929 -0.147698 -0.385124 291 14 2016 04 30.36324 1.000 C 14 14 28.09 +05 09 24.0 1.096 0.094 2.493308 4.111891 0.158606 0.462537 G96 15 2016 04 30.36838 1.000 C 14 14 27.55 +05 09 14.5 1.096 0.094 1.888443 3.307749 -0.446587 -0.339579 G96 16 2016 05 01.45102 1.000 C 14 12 58.57 +04 39 27.6 1.103 0.101 1.895853 2.588047 -0.470073 -0.663051 291 17 2016 05 01.45494 1.000 C 14 12 58.11 +04 39 21.9 1.103 0.101 2.826631 3.934082 0.460617 0.684355 291 18 2016 05 01.45887 1.000 C 14 12 57.82 +04 39 15.6 1.103 0.101 2.522058 3.014228 0.155957 -0.234126 291 19 2016 05 02.328248 1.000 C 14 11 59.47 +04 17 35.8 1.108 0.107 2.188385 2.944754 -0.181029 -0.021283 705 20 2016 05 02.329262 1.000 C 14 11 59.36 +04 17 34.1 1.108 0.107 2.039549 3.232711 -0.329881 0.266991 705 21 2016 05 02.330274 1.000 C 14 11 59.27 +04 17 32.6 1.108 0.107 1.984793 3.178386 -0.384652 0.212982 705 22 2016 05 03.400461 1.000 C 14 10 55.376 +03 53 20.01 1.115 0.114 2.552750 2.326003 0.196793 -0.329149 F51 23 2016 05 03.414074 1.000 C 14 10 54.149 +03 53 01.81 1.115 0.114 2.417191 2.932764 0.061223 0.281331 F51 24 2016 05 03.427744 1.000 C 14 10 52.983 +03 52 44.05 1.115 0.114 2.426596 2.469091 0.070628 -0.178606 F51 25 2016 05 03.441439 1.000 C 14 10 51.780 +03 52 26.03 1.115 0.114 2.466957 2.654138 0.111002 0.010184 F51 } }