Astrometric Results for Observations of Jupiter's Galilean Satellites During Mutual Occultations and Eclipses in 2009 and 2014-2015

Autor: J. Manek, N. V. Emelyanov, Jean-Eudes Arlot, N. Maigurova, T. Pauwels, X. Zhang, P. Vingerhoets, A. Pomazan, X. L. Han, J. Jindra, P. De Cat, Jonathan Bradshaw, A. Ivantsov
Přispěvatelé: Institut de Mécanique Céleste et de Calcul des Ephémérides (IMCCE), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Lille-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Solar System Research
Solar System Research, 2020, 53, pp.436-442. ⟨10.1134/S0038094619060017⟩
DOI: 10.1134/S0038094619060017⟩
Popis: International audience; Photometric observations of satellites during their mutual occultations and eclipses are a valuable source of astrometric data for studying the motion of natural planetary satellites. Worldwide photometric observation campaigns are organized in order to observe as many phenomena as possible. All the photometric results obtained during such an observation campaign are stored in a single database, and after some time, they undergo astrometric processing. After conducting the campaign and publishing the results, some observers find unused data, which appear valuable. We have collected these photometric observations of mutual occultations and eclipses of Jupiter's Galilean satellites and processed them to utilize these valuable astrometric data. To obtain astrometric data from the photometric observations, we have applied our original method. The observations come from eight observatories worldwide. As a result, this work presents 32 new relative astrometric positions of Jupiter's Galilean satellites in 2009 and 23 new positions in 2014-2015. The astrometric accuracy of the new data in comparison with the most developed theory (O-C) is approximately 0.05''. The internal accuracy, based on estimates for random photometry errors, is 0.02''.
Databáze: OpenAIRE