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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2018
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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. |
format | Online Article Text |
id | pubmed-6049621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
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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