Improve: 2017_SE12 epoch = 2461000.500000000 TDB 2025-11-21 00:00:00.000000 number of observations before/after epoch: 22/0 number of iterations: 5 ====================================================================================================================== Iteration: 1 { In_coords Corrections Errors In_elements El_errors 1 0.827805173 -0.301E-07 NaN | e 0.256722760 0.99346E-05 2 -0.392351580 0.270E-06 NaN | a 1.112159741 NaN 3 -0.146971944 -0.166E-08 NaN | i 2.762661273 NaN 4 0.011953645 0.148E-07 NaN | node 181.491210529 NaN 5 0.014150275 -0.779E-08 NaN | peri 89.459990140 0.11259E-02 6 0.005356638 -0.163E-10 NaN | M 38.548417644 NaN | tp = 2025-10-06.127413 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: 0.26530 Optical RMSE: 0.26530(ang-sec.) Number of loops/max_num in Least Squares on iter 3/10 Number of included/excluded equations on iter 0/3 Number of used/total equations 41/44 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 2017 09 22.33041 1.000 C 22 30 33.265 -03 11 30.86 1.033 0.031 0.801953 0.429902 -0.163742 0.205638 F51 2 2017 09 22.35421 1.000 C 22 30 50.340 -03 13 11.35 1.033 0.032 1.345676 0.024165 0.383279 -0.197637 F51 3 2017 09 22.36610 1.000 C 22 30 58.848 -03 14 01.25 1.033 0.032 1.089851 -0.034890 0.129105 -0.255466 F51 4 2017 09 22.836258 1.000 C 22 37 07.23 -03 46 13.6 1.035 0.034 0.724971 0.384791 -0.174440 0.212092 B04 5 2017 09 22.849693 1.000 C 22 37 16.04 -03 47 02.9 1.035 0.034 0.544574 0.334365 -0.353231 0.162887 B04 6 2017 09 22.85884 1.000 C 22 37 21.40 -03 47 31.4 1.035 0.034 1.141775 0.237429 0.245038 0.066696 104 7 2017 09 22.87842 1.000 C 22 37 34.01 -03 48 42.9 1.035 0.034 0.814416 0.607023 -0.079975 0.438051 104 8 2017 09 23.05341 1.000 C 22 39 41.60 -03 53 58.6 1.036 0.035 1.075597 0.261230 0.202281 0.104666 807 9 2017 09 23.05891 1.000 C 22 39 44.93 -03 54 17.7 1.036 0.035 0.898476 0.044674 0.025776 -0.111419 807 10 2017 09 23.06424 1.000 C 22 39 48.15 -03 54 36.5 1.036 0.035 0.714090 0.175226 -0.158012 0.019590 807 11 2017 09 23.13164 1.000 C 22 40 36.92 -04 02 40.8 1.036 0.035 1.762021 0.421903 0.897267 F 0.275201 926 12 2017 09 23.13513 1.000 C 22 40 39.07 -04 02 52.1 1.036 0.035 0.979264 -0.101671 0.114891 -0.248080 926 13 2017 09 23.13861 1.000 C 22 40 41.18 -04 03 03.9 1.037 0.035 0.709647 -0.164592 -0.154346 -0.310709 926 14 2017 09 25.202720 1.000 C 22 58 50.69 -05 33 11.0 1.045 0.045 0.421490 -0.261369 -0.257612 -0.272348 H21 15 2017 09 25.212672 1.000 C 22 58 54.25 -05 33 30.9 1.045 0.045 0.569670 -0.240898 -0.108711 -0.251435 H21 16 2017 09 25.226393 1.000 C 22 58 59.18 -05 33 58.1 1.046 0.045 0.413449 -0.157154 -0.263938 -0.167084 H21 17 2017 09 26.25245 1.000 C 23 05 32.90 -06 04 08.8 1.050 0.050 1.006506 -0.152095 0.395441 -0.119764 291 18 2017 09 26.25536 1.000 C 23 05 33.73 -06 04 13.2 1.050 0.050 0.802446 -0.315698 0.191553 -0.283276 291 19 2017 09 26.25826 1.000 C 23 05 34.44 -06 04 17.9 1.050 0.050 2.323970 -0.874706 1.713249 F -0.842193 F 291 20 2017 09 27.35373 1.000 C 23 11 13.80 -06 30 08.9 1.055 0.055 0.106054 0.457605 -0.446101 0.522467 291 21 2017 09 27.35725 1.000 C 23 11 14.60 -06 30 13.0 1.055 0.055 0.604903 0.035143 0.052924 0.100080 291 22 2017 09 27.36076 1.000 C 23 11 15.42 -06 30 17.4 1.055 0.055 0.976248 0.035067 0.424445 0.100080 291 } }