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    Exoplanet Classification and Yield Estimates for Direct Imaging Missions

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    Kopparapu_2018_ApJ_856_122.pdf
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    Final Published Version
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    Author
    Kopparapu, Ravi Kumar
    Hébrard, Eric
    Belikov, Rus
    Batalha, Natalie M.
    Mulders, Gijs D.
    Stark, Chris
    Teal, Dillon
    Domagal-Goldman, shawn
    Mandell, Avi
    Affiliation
    Univ Arizona, Lunar & Planetary Lab
    Issue Date
    2018-03-30
    Keywords
    planets and satellites: atmospheres
    planets and satellites: gaseous planets
    planets and satellites: terrestrial planets
    
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    Publisher
    IOP PUBLISHING LTD
    Citation
    Ravi Kumar Kopparapu et al 2018 ApJ 856 122
    Journal
    ASTROPHYSICAL JOURNAL
    Rights
    © 2018. The American Astronomical Society. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Future NASA concept missions that are currently under study, like the Habitable Exoplanet Imaging Mission (HabEx) and the Large Ultra-violet Optical Infra Red Surveyor, could discover a large diversity of exoplanets. We propose here a classification scheme that distinguishes exoplanets into different categories based on their size and incident stellar flux, for the purpose of providing the expected number of exoplanets observed (yield) with direct imaging missions. The boundaries of this classification can be computed using the known chemical behavior of gases and condensates at different pressures and temperatures in a planetary atmosphere. In this study, we initially focus on condensation curves for sphalerite ZnS, H2O, CO2, and CH4. The order in which these species condense in a planetary atmosphere define the boundaries between different classes of planets. Broadly, the planets are divided into rocky planets (0.5-1.0 R-circle plus), super-Earths (1.0-1.75 R-circle plus), sub-Neptunes (1.75-3.5 R-circle plus), sub-Jovians (3.5-6.0 R-circle plus), and Jovians (6-14.3 R-circle plus) based on their planet sizes, and "hot," "warm," and "cold" based on the incident stellar flux. We then calculate planet occurrence rates within these boundaries for different kinds of exoplanets, eta(planet), using the community coordinated results of NASA's Exoplanet Program Analysis Group's Science Analysis Group-13 (SAG-13). These occurrence rate estimates are in turn used to estimate the expected exoplanet yields for direct imaging missions of different telescope diameters.
    ISSN
    1538-4357
    DOI
    10.3847/1538-4357/aab205
    Version
    Final published version
    Sponsors
    NASA Astrobiology Institute's Virtual Planetary Laboratory lead team - NASA [NNH05ZDA001C]; GSFC Sellers Exoplanet Environments Collaboration (SEEC) - NASA Planetary Science Divisions Internal Scientist Funding Model
    Additional Links
    http://stacks.iop.org/0004-637X/856/i=2/a=122?key=crossref.df3dcdea83ce9cf80cca8f7132072c22
    ae974a485f413a2113503eed53cd6c53
    10.3847/1538-4357/aab205
    Scopus Count
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