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: 10.4121/392b8d8c-4eb2-4420-b46b-1cb697764a2b

Hudson, Ben (2024): Python package for simulating and optimising a space-based VLBI mission. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/392b8d8c-4eb2-4420-b46b-1cb697764a2b.v1

Software

• Aerospace Engineering
• Astronomical and Space Sciences
• Engineering
• Physical Sciences

Astronomy, Space Mission Design, Spacecraft Optimisation, VLBI

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ben Hudson

Python package for simulating and optimising a space-based VLBI mission. This package enables multiple space telescopes to be modelled by propagating their orbital and attitude state. Elements of the spacecraft design that impact when observations can be performed can also be included in the simulation to assess and mitigate their impact on the science return of the mission (e.g. source visibility including Sun/Earth/Moon avoidance, star trackers, radiators, solar panels, ground station access times, etc.).

Checkout the README.md file for installation instructions, software requirements, etc. More information as well as the latest version of the software can be found in the GitHub repository.

• 2024-09-23 first online, published, posted

4TU.ResearchData

Python package

• https://github.com/bhudson2/spacevlbi

https://github.com/bhudson2/spacevlbi

TU Delft, Faculty of Aerospace Engineering, Department of Astrodynamics & Space Missions