On this episode of Roid Rage, Principal Flight Science Engineer Loic joins the pod to break down how we use Monte Carlo simulations to navigate deep space - starting with how we avoid hitting the Moon. Loic walks us through how probabilistic modeling, error bounding, and trajectory optimization keep DeepSpace‑2 on target. This episode covers everything from solar pressure to thrust vector error, and why simulating failure is core to mission design.
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On this episode of Roid Rage, Principal Flight Science Engineer Loic joins the pod to break down how we use Monte Carlo simulations to navigate deep space - starting with how we avoid hitting the Moon. Loic walks us through how probabilistic modeling, error bounding, and trajectory optimization keep DeepSpace‑2 on target. This episode covers everything from solar pressure to thrust vector error, and why simulating failure is core to mission design.
In this episode, AstroForge RF Engineer Max and Software Engineer Christopher break down the brutal reality of deep space comms: high-gain antennas with beam widths under half a degree, 250 dB of path loss, FCC restrictions on uplink bands, and seconds-long delays that make real-time feedback impossible. They unpack what went wrong with Odin’s comms chain, what’s different on DeepSpace-2, and how we’re making our system more fault-tolerant without bloating mass or cost. From island-hopping to...
Roid Rage
On this episode of Roid Rage, Principal Flight Science Engineer Loic joins the pod to break down how we use Monte Carlo simulations to navigate deep space - starting with how we avoid hitting the Moon. Loic walks us through how probabilistic modeling, error bounding, and trajectory optimization keep DeepSpace‑2 on target. This episode covers everything from solar pressure to thrust vector error, and why simulating failure is core to mission design.
