@NASALangley SWE Intern | @RiceUniversity MS Data Science | @virginia_tech CS Alum | ML & LLM Inference, Space Systems & Simulation | Human Spaceflight
@DrPhiltill This puts the scaling problem into perspective. I've been exploring plume–surface interaction in a simplified lunar landing model, and the risk to nearby hardware is striking.
For larger landers, which matters more for validation: erosion rate or ejecta velocity?
@IanCinnamon Really interesting to see these early on-orbit milestones! I've been exploring GNC and mission operations through an independent Artemis II simulation project.
Curious, what are the most important validation checks during a spacecraft's initial commissioning phase?
@RocketLab@NASA@ucbssl Fascinating use of the Oberth effect! Reconstructing Artemis II's trajectory from public ephemeris taught me how much maneuver timing and Δv influence downstream geometry.
Will Rocket Lab share any post-burn trajectory or navigation results after TMI?
@angeldot_ This is awesome, definitely worth looking into and learning to apply the greater concept from this rather than copying it as is. Thanks for sharing!
Beyond trajectory and GNC, A2 MissionLab also explores atmospheric entry, splashdown and recovery, space weather, and plume–surface interaction!
These use public sources and clearly labeled educational models.
Code + methodology: https://t.co/diHJzvbHfl
Hi everyone! I built A2 MissionLab.
An open-source Artemis II explorer with public data, trajectory analysis, GNC simulations and Mission Control views.
I built it to explore the engineering behind this historic mission. I'd love feedback and ideas!
https://t.co/ccjEIjTnSq