Atmospheric Retrieval Analysis of the Directly Imaged Exoplanet HR 8799b
Jae-Min Lee, Kevin Heng, Patrick G.J. Irwin

TL;DR
This study applies atmospheric retrieval techniques to the directly imaged exoplanet HR 8799b, inferring atmospheric composition, cloud properties, and planetary parameters from spectral data, highlighting the importance of combined photometric and spectroscopic analysis.
Contribution
It introduces an upgraded retrieval method including cloud modeling and provides the first comprehensive atmospheric analysis of HR 8799b with new planetary parameter estimates.
Findings
Cloud-free models fit data with super-solar metallicity.
Moderately cloudy models fit data with lower molecular weight.
Best-fit parameters include radius, mass, gravity, temperature, and molecular weight.
Abstract
Directly-imaged exoplanets are unexplored laboratories for the application of the spectral and temperature retrieval method, where the chemistry and composition of their atmospheres are inferred from inverse modeling of the available data. As a pilot study, we focus on the extrasolar gas giant HR 8799b for which more than 50 data points are available. We upgrade our non-linear optimal estimation retrieval method to include a phenomenological model of clouds that requires the cloud optical depth and monodisperse particle size to be specified. Previous studies have focused on forward models with assumed values of the exoplanetary properties; there is no consensus on the best-fit values of the radius, mass, surface gravity and effective temperature of HR 8799b. We show that cloudfree models produce reasonable fits to the data if the atmosphere is of super-solar metallicity and non-solar…
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