Data underlying the publication: Analytical framework for mutual approximations - Derivation and application to Jovian satellites

doi:10.4121/11271e6c-aa4a-45b6-807f-6a0ec5b7fe65.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/11271e6c-aa4a-45b6-807f-6a0ec5b7fe65
Datacite citation style:
Fayolle, M.S.; Dirkx, Dominic; Visser, Pieter; Lainey, Valery (2024): Data underlying the publication: Analytical framework for mutual approximations - Derivation and application to Jovian satellites. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/11271e6c-aa4a-45b6-807f-6a0ec5b7fe65.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

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

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.

history
  • 2024-07-25 first online, published, posted
publisher
4TU.ResearchData
format
text files .txt/.dat
funding
  • OSIP ESA
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Astrodynamics & Space missions

DATA

files (107)