Exploratory data analysis (EDA) machine learning approaches for ocean world analog mass spectrometry

Exploratory data analysis (EDA) machine learning approaches for ocean world analog mass spectrometry

Many upcoming and proposed missions to ocean worlds such as Europa, Enceladus, and Titan aim to evaluate their habitability and the existence of potential life on these moons. These missions will suffer from communication challenges and technology limitations. We review and investigate the applicabi...

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Bibliographic Details
Main Authors: Victoria Da Poian, Bethany Theiling, Lily Clough, Brett McKinney, Jonathan Major, Jingyi Chen, Sarah Hörst
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
machine learning
exploratory data analysis
mass spectrometry
ocean worlds analog data
unsupervised learning
science autonomy
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2023.1134141/full

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https://www.frontiersin.org/articles/10.3389/fspas.2023.1134141/full

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