Exoplanet Classification and Yield Estimates for Direct Imaging Missions
Ravi kumar Kopparapu, Eric Hebrard, Rus Belikov, Natalie M. Batalha,, Gijs D. Mulders, Chris Stark, Dillon Teal, Shawn Domagal-Goldman, Avi Mandell

TL;DR
This paper proposes a classification scheme for exoplanets based on size and stellar flux, and estimates the expected yields for future direct imaging missions using occurrence rates.
Contribution
It introduces a novel classification based on atmospheric condensation boundaries and integrates occurrence rates to predict mission yields.
Findings
Classification boundaries derived from condensation curves.
Estimated exoplanet occurrence rates for different classes.
Projected yields for future direct imaging missions.
Abstract
Future NASA concept missions that are currently under study, like Habitable Exoplanet Imaging Mission (HabEx) & Large Ultra-Violet Optical Infra Red (LUVOIR) Surveyor, would 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…
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