TY - DATA
T1 - Data underlying the publication: Analytical framework for mutual approximations - Derivation and application to Jovian satellites
PY - 2024/07/25
AU - M.S. Fayolle
AU - Dominic Dirkx
AU - Pieter Visser
AU - Valery Lainey
UR - 
DO - 10.4121/11271e6c-aa4a-45b6-807f-6a0ec5b7fe65.v1
KW - Astrometry
KW - Mutual approximations
KW - Ephemerides
KW - Galilean moons
N2 - <p>This data set contains all data used to generate the results, tables, and figures presented in the research paper titled "Analytical framework for mutual approximations</p><p>Derivation and application to Jovian satellites" (https://doi.org/10.1051/0004-6361/202141261). The code used to generate these files is uploaded to the following (private) GitHub repository (access will be granted upon request): https://github.com/SamFayolle/MutualApproximations. This repository only contains the specific simulations discussed in the aforementioned paper, which rely on the open-source Tudat software package (source code available at: https://github.com/tudat-team/tudat-space). All details on the simulation setup and methodology can be found in the publication.</p>
ER -