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Exoplanet Biosignatures: A Framework for Their Assessment

Finding life on exoplanets from telescopic observations is an ultimate goal of exoplanet science. Life produces gases and other substances, such as pigments, which can have distinct spectral or photometric signatures. Whether or not life is found with future data must be expressed with probabilities...

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Autores principales: Catling, David C., Krissansen-Totton, Joshua, Kiang, Nancy Y., Crisp, David, Robinson, Tyler D., DasSarma, Shiladitya, Rushby, Andrew J., Del Genio, Anthony, Bains, William, Domagal-Goldman, Shawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6049621/
https://www.ncbi.nlm.nih.gov/pubmed/29676932
http://dx.doi.org/10.1089/ast.2017.1737
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author Catling, David C.
Krissansen-Totton, Joshua
Kiang, Nancy Y.
Crisp, David
Robinson, Tyler D.
DasSarma, Shiladitya
Rushby, Andrew J.
Del Genio, Anthony
Bains, William
Domagal-Goldman, Shawn
author_facet Catling, David C.
Krissansen-Totton, Joshua
Kiang, Nancy Y.
Crisp, David
Robinson, Tyler D.
DasSarma, Shiladitya
Rushby, Andrew J.
Del Genio, Anthony
Bains, William
Domagal-Goldman, Shawn
author_sort Catling, David C.
collection PubMed
description Finding life on exoplanets from telescopic observations is an ultimate goal of exoplanet science. Life produces gases and other substances, such as pigments, which can have distinct spectral or photometric signatures. Whether or not life is found with future data must be expressed with probabilities, requiring a framework of biosignature assessment. We present a framework in which we advocate using biogeochemical “Exo-Earth System” models to simulate potential biosignatures in spectra or photometry. Given actual observations, simulations are used to find the Bayesian likelihoods of those data occurring for scenarios with and without life. The latter includes “false positives” wherein abiotic sources mimic biosignatures. Prior knowledge of factors influencing planetary inhabitation, including previous observations, is combined with the likelihoods to give the Bayesian posterior probability of life existing on a given exoplanet. Four components of observation and analysis are necessary. (1) Characterization of stellar (e.g., age and spectrum) and exoplanetary system properties, including “external” exoplanet parameters (e.g., mass and radius), to determine an exoplanet's suitability for life. (2) Characterization of “internal” exoplanet parameters (e.g., climate) to evaluate habitability. (3) Assessment of potential biosignatures within the environmental context (components 1–2), including corroborating evidence. (4) Exclusion of false positives. We propose that resulting posterior Bayesian probabilities of life's existence map to five confidence levels, ranging from “very likely” (90–100%) to “very unlikely” (<10%) inhabited. Key Words: Bayesian statistics—Biosignatures—Drake equation—Exoplanets—Habitability—Planetary science. Astrobiology 18, 709–738.
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spelling pubmed-60496212018-07-18 Exoplanet Biosignatures: A Framework for Their Assessment Catling, David C. Krissansen-Totton, Joshua Kiang, Nancy Y. Crisp, David Robinson, Tyler D. DasSarma, Shiladitya Rushby, Andrew J. Del Genio, Anthony Bains, William Domagal-Goldman, Shawn Astrobiology Special Collection: Exoplanet BiosignaturesGuest Editors: Mary N. Parenteau, Nancy Y. Kiang, Shawn Domagal-Goldman (in reverse alphabetical order)Review Articles Finding life on exoplanets from telescopic observations is an ultimate goal of exoplanet science. Life produces gases and other substances, such as pigments, which can have distinct spectral or photometric signatures. Whether or not life is found with future data must be expressed with probabilities, requiring a framework of biosignature assessment. We present a framework in which we advocate using biogeochemical “Exo-Earth System” models to simulate potential biosignatures in spectra or photometry. Given actual observations, simulations are used to find the Bayesian likelihoods of those data occurring for scenarios with and without life. The latter includes “false positives” wherein abiotic sources mimic biosignatures. Prior knowledge of factors influencing planetary inhabitation, including previous observations, is combined with the likelihoods to give the Bayesian posterior probability of life existing on a given exoplanet. Four components of observation and analysis are necessary. (1) Characterization of stellar (e.g., age and spectrum) and exoplanetary system properties, including “external” exoplanet parameters (e.g., mass and radius), to determine an exoplanet's suitability for life. (2) Characterization of “internal” exoplanet parameters (e.g., climate) to evaluate habitability. (3) Assessment of potential biosignatures within the environmental context (components 1–2), including corroborating evidence. (4) Exclusion of false positives. We propose that resulting posterior Bayesian probabilities of life's existence map to five confidence levels, ranging from “very likely” (90–100%) to “very unlikely” (<10%) inhabited. Key Words: Bayesian statistics—Biosignatures—Drake equation—Exoplanets—Habitability—Planetary science. Astrobiology 18, 709–738. Mary Ann Liebert, Inc. 2018-06-01 2018-06-01 /pmc/articles/PMC6049621/ /pubmed/29676932 http://dx.doi.org/10.1089/ast.2017.1737 Text en © David C. Catling et al., 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Special Collection: Exoplanet BiosignaturesGuest Editors: Mary N. Parenteau, Nancy Y. Kiang, Shawn Domagal-Goldman (in reverse alphabetical order)Review Articles
Catling, David C.
Krissansen-Totton, Joshua
Kiang, Nancy Y.
Crisp, David
Robinson, Tyler D.
DasSarma, Shiladitya
Rushby, Andrew J.
Del Genio, Anthony
Bains, William
Domagal-Goldman, Shawn
Exoplanet Biosignatures: A Framework for Their Assessment
title Exoplanet Biosignatures: A Framework for Their Assessment
title_full Exoplanet Biosignatures: A Framework for Their Assessment
title_fullStr Exoplanet Biosignatures: A Framework for Their Assessment
title_full_unstemmed Exoplanet Biosignatures: A Framework for Their Assessment
title_short Exoplanet Biosignatures: A Framework for Their Assessment
title_sort exoplanet biosignatures: a framework for their assessment
topic Special Collection: Exoplanet BiosignaturesGuest Editors: Mary N. Parenteau, Nancy Y. Kiang, Shawn Domagal-Goldman (in reverse alphabetical order)Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6049621/
https://www.ncbi.nlm.nih.gov/pubmed/29676932
http://dx.doi.org/10.1089/ast.2017.1737
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