Roid Rage

So You’re Telling Me There’s a Chance

Nov 13, 2025
Dive into the fascinating world of deep space navigation with a principal flight science engineer. Discover how Monte Carlo simulations are vital in avoiding collisions, like with the Moon, and optimizing trajectories. Learn about the complexities of solar pressure, thrust vector errors, and the nuances of mission design. Loic shares insights on how continuous simulations post-launch can anticipate challenges. Plus, the conversation touches on asteroid data processing and the potential for public participation in future missions.
Ask episode
AI Snips
Chapters
Books
Transcript
Episode notes
INSIGHT

Monte Carlo Exposes Compound Uncertainty

  • Monte Carlo quantifies how uncertainties compound across a mission model by sampling combinations of uncertain parameters.
  • It reveals the distribution of possible outcomes so teams can measure how bad things might get.
ADVICE

Start With Launch Dispersion Bounds

  • Treat launch vehicle drop-off position and velocity as primary uncertain inputs in your simulations.
  • Request the provider's error bounds early so mission design can be planned around realistic margins.
INSIGHT

Sunlight Can Steer Your Spacecraft

  • Solar radiation pressure matters even for small spacecraft because reflectivity and orientation change the continuous force.
  • Surface coatings and thermal properties significantly affect trajectory nudges over time.
Get the Snipd Podcast app to discover more snips from this episode
Get the app