日本地球惑星科学連合2019年大会

講演情報

[E] ポスター発表

セッション記号 P (宇宙惑星科学) » P-PS 惑星科学

[P-PS03] Solar System Small Bodies: A New Frontier Arising Hayabusa 2, OSIRIS-REx and Other Projects

2019年5月29日(水) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:石黒 正晃(ソウル大学物理天文学科)、中本 泰史(東京工業大学)、安部 正真(宇宙航空研究開発機構宇宙科学研究所)、Olivier S Barnouin(Johns Hopkins University Applied Physics Laboratory)

[PPS03-P20] Hayabusa2 orbit determination using c5++ software

*山本 圭香1大坪 俊通2松本 晃治1野田 寛大1並木 則行1千秋 博紀3水野 貴秀4尾川 順子4大野 剛4三桝 裕也4吉川 健人4高橋 忠輝4武井 悠人4藤井 淳4照井 冬人4佐伯 孝尚4中澤 暁4吉川 真4津田 雄一4 (1.国立天文台、2.一橋大学、3.千葉工業大学、4.宇宙航空研究開発機構)

キーワード:はやぶさ2、軌道推定、リュウグウ

Hayabusa2 arrived at the target asteroid Ryugu in June 2018 and is currently conducting remote sensing observations with various onboard instruments. So far, we have improved orbit determination software c5++, originally developed for the analysis of satellite laser ranging (SLR) data of the Earth, so that it can be used for the analysis of laser ranging data between Hayabusa2 and Ryugu obtained by Hayabusa2 LIDAR. Then we used it for the estimation of Hayabusa2 trajectory and the GM value of Ryugu. However, in the case of Hayabusa2, it is difficult to determine all of the 6 components of the initial state vector precisely if only LIDAR range data was used, and the simultaneously estimated GM value also had large uncertainty. To overcome this problem, in addition to LIDAR ranging data, we used Automated-Image-Tracking (AIT) data obtained by wide-angle optical navigation camera (ONC-W1) for the estimation of Hayabusa2 trajectory. In principle, LIDAR data gives information on the radial direction and AIT data give the ones on the across and along track directions. Thus, both data sets are complementary and help to improve the precision of the trajectory estimation. For this purpose, we improved c5 ++ so that it can deal with AIT data as observation data. In the presentation, we will show the results of trajectory and GM estimations using LIDAR and AIT data, and show how much the precision and accuracy are improved compared to the case using LIDAR data only.