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    Exoplanet Biosignatures: Future Directions

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    Author
    Walker, S.I.
    Bains, W.
    Cronin, L.
    Date
    2018
    Journal
    Astrobiology
    Publisher
    Mary Ann Liebert Inc.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://dx.doi.org/10.1089/ast.2017.1738
    Abstract
    We introduce a Bayesian method for guiding future directions for detection of life on exoplanets. We describe empirical and theoretical work necessary to place constraints on the relevant likelihoods, including those emerging from better understanding stellar environment, planetary climate and geophysics, geochemical cycling, the universalities of physics and chemistry, the contingencies of evolutionary history, the properties of life as an emergent complex system, and the mechanisms driving the emergence of life. We provide examples for how the Bayesian formalism could guide future search strategies, including determining observations to prioritize or deciding between targeted searches or larger lower resolution surveys to generate ensemble statistics and address how a Bayesian methodology could constrain the prior probability of life with or without a positive detection. Copyright 2018 Sara I. Walker et al.
    Sponsors
    E.W.S. is grateful for support from the NASA Postdoctoral Program, administered by the Universities Space Research Association. S.D. was supported by NASA Exobiology grant NNX15AM07G. S.I.W. and H.B.S were supported by NASA Exobiology grant NNX15AL24G. This work benefitted from collaborations and/or information exchange within NASA's Nexus for Exoplanet System Science (NExSS) research co-ordination network sponsored by NASA's Science Mission Directorate.
    Keyword
    Bayesian analysis
    Biosignatures
    Exoplanets
    Life detection
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049071540&doi=10.1089%2fast.2017.1738&partnerID=40&md5=4887ea9a0b4fcd41cf21693036d5d4f9; http://hdl.handle.net/10713/9649
    ae974a485f413a2113503eed53cd6c53
    10.1089/ast.2017.1738
    Scopus Count
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    UMB Open Access Articles 2018

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