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UID:seminar-12722@epss.ucla.edu
DTSTAMP:20260411T025737Z
DTSTART:20251031T033000Z
DTEND:20251031T043000Z
SUMMARY:The Promise of Machine Learning for Ocean World Characterization
LOCATION:3853 Slichter Hall
DESCRIPTION:Date: 2025-10-31 00:00:00

Time: 3:30 - 4:30pm

Location: 3853 Slichter Hall

Presented By:
Sachin Reddy - Jet Propulsion Laboratory\, La Cañada Flintridge\, California

Abstract:
Jupiter’s moon Europa is thought to possess a subsurface ocean that could have the right conditions to harbor life. It will be visited by the Europa Clipper mission starting in 2030. To characterize this ocean and answer questions about habitability\, the complex and highly variable plasma environment must be accounted for. In this talk\, I will introduce a novel machine learning framework\, including both forward and inverse modeling\, to better understand the environment. Crucially\, our model can reproduce the magnetic field\, helping us define the depth\, salinity\, and conductivity of a potential subsurface ocean. These findings benefit both the upcoming missions to Europa and proposed missions to other planetary bodies such as those at Uranus or Neptune.
URL:https://epss.ucla.edu/the-promise-of-machine-learning-for-ocean-world-characterization/
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