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.
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Moon As A Precise Slingshot
- The Moon provides a precise energy boost but only if you hit a very specific spot during the flyby.
- Trajectory design must thread a narrow window to gain escape energy without becoming captured or lost.
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.
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.
