Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data

Abstract Future missions to icy ocean worlds (OW) such as Europa and Enceladus will evaluate the habitability and potential for biosignatures on these worlds. These missions will benefit from autonomous science and machine learning (ML) methods to process high volumes of data and prioritize signals...

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Autors principals:	Lily A. Clough, Victoria DaPoian, Jonathan D. Major, Lauren M. Seyler, Brett A. McKinney, Bethany P. Theiling
Format:	Artigo
Idioma:	Inglês
Publicat:	American Geophysical Union (AGU) 2025-03-01
Col·lecció:	Earth and Space Science
Matèries:	astrobiology biosignatures machine learning feature selection
Accés en línia:	https://doi.org/10.1029/2024EA003966
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