Exoplanet Biosignatures: Future Directions
Sara I. Walker, William Bains, Leroy Cronin, Shiladitya DasSarma,, Sebastian Danielache, Shawn Domagal-Goldman, Betul Kacar, Nancy Y. Kiang,, Adrian Lenardic, Christopher T. Reinhard, William Moore, Edward W., Schwieterman, Evgenya L. Shkolnik, Harrison B. Smith

TL;DR
This paper proposes a Bayesian framework for exoplanet biosignature detection, aiming to guide future observations and interpret the data in a quantitative, flexible manner that accounts for uncertainties and diverse life signatures.
Contribution
It introduces a novel Bayesian methodology for assessing biosignatures, enabling generalized, probabilistic interpretation beyond known life signatures.
Findings
Framework allows quantitative confidence levels for life detection
Guides observational strategies including wavelength selection and survey scope
Integrates multidisciplinary insights to improve detection confidence
Abstract
Exoplanet science promises a continued rapid accumulation of new observations in the near future, energizing a drive to understand and interpret the forthcoming wealth of data to identify signs of life beyond our Solar System. The large statistics of exoplanet samples, combined with the ambiguity of our understanding of universal properties of life and its signatures, necessitate a quantitative framework for biosignature assessment Here, we introduce a Bayesian framework for guiding future directions in life detection, which permits the possibility of generalizing our search strategy beyond biosignatures of known life. The Bayesian methodology provides a language to define quantitatively the conditional probabilities and confidence levels of future life detection and, importantly, may constrain the prior probability of life with or without positive detection. We describe empirical and…
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