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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主要な著者:	Lily A. Clough, Victoria DaPoian, Jonathan D. Major, Lauren M. Seyler, Brett A. McKinney, Bethany P. Theiling
フォーマット:	Artigo
言語:	Inglês
出版事項:	American Geophysical Union (AGU) 2025-03-01
シリーズ:	Earth and Space Science
主題:	astrobiology biosignatures machine learning feature selection
オンライン･アクセス:	https://doi.org/10.1029/2024EA003966
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