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dc.contributor.authorKopparapu, Ravi Kumar
dc.contributor.authorHébrard, Eric
dc.contributor.authorBelikov, Rus
dc.contributor.authorBatalha, Natalie M.
dc.contributor.authorMulders, Gijs D.
dc.contributor.authorStark, Chris
dc.contributor.authorTeal, Dillon
dc.contributor.authorDomagal-Goldman, shawn
dc.contributor.authorMandell, Avi
dc.date.accessioned2018-05-01T23:00:35Z
dc.date.available2018-05-01T23:00:35Z
dc.date.issued2018-03-30
dc.identifier.citationRavi Kumar Kopparapu et al 2018 ApJ 856 122en_US
dc.identifier.issn1538-4357
dc.identifier.doi10.3847/1538-4357/aab205
dc.identifier.urihttp://hdl.handle.net/10150/627535
dc.description.abstractFuture 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.en_US
dc.description.sponsorshipNASA Astrobiology Institute's Virtual Planetary Laboratory lead team - NASA [NNH05ZDA001C]; GSFC Sellers Exoplanet Environments Collaboration (SEEC) - NASA Planetary Science Divisions Internal Scientist Funding Modelen_US
dc.language.isoenen_US
dc.publisherIOP PUBLISHING LTDen_US
dc.relation.urlhttp://stacks.iop.org/0004-637X/856/i=2/a=122?key=crossref.df3dcdea83ce9cf80cca8f7132072c22en_US
dc.rights© 2018. The American Astronomical Society. All rights reserved.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectplanets and satellites: atmospheresen_US
dc.subjectplanets and satellites: gaseous planetsen_US
dc.subjectplanets and satellites: terrestrial planetsen_US
dc.titleExoplanet Classification and Yield Estimates for Direct Imaging Missionsen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Lunar & Planetary Laben_US
dc.identifier.journalASTROPHYSICAL JOURNALen_US
dc.description.collectioninformationThis 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.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleThe Astrophysical Journal
dc.source.volume856
dc.source.issue2
dc.source.beginpage122
refterms.dateFOA2018-05-01T23:00:35Z


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