A Quick Study of the Characterization of Radial Velocity Giant Planets in Reflected Light by Forward and Inverse Modeling
Mark Marley, Roxana Lupu, Nikole Lewis, Michael Line, Caroline Morley,, Jonathan Fortney

TL;DR
This study combines forward modeling and MCMC retrieval techniques to analyze the atmospheric properties of radial velocity giant exoplanets in reflected light, revealing spectral diversity and the potential to constrain atmospheric parameters from noisy data.
Contribution
It introduces the first application of MCMC retrieval to reflected light spectra of giant exoplanets, demonstrating the feasibility of constraining atmospheric properties with limited signal-to-noise ratios.
Findings
Spectral diversity among known RV giants suggests varied atmospheric compositions.
Even at low S/N (~5), meaningful atmospheric constraints are achievable.
Knowledge of planet gravity enhances the accuracy of atmospheric abundance estimates.
Abstract
We explored two aspects of the problem of characterizing cool extrasolar giant planets in scattered optical light with a space based coronagraph. First, for a number of the known radial velocity (RV) giants we computed traditional forward models of their atmospheric structure and clouds, given various input assumptions, and computed model albedo spectra. Such models have been computed before, but mostly for generic planets. Our new models demonstrate that there is likely interesting spectral diversity among those planets that are most favorable for direct detection. Second, we applied a powerful Markov Chain Monte Carlo (MCMC) retrieval technique to synthetic noisy data of cool giants to better understand how well various atmospheric parameters--particularly molecular abundances and cloud properties--could be constrained. This is the first time such techniques have been applied to this…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Atmospheric Ozone and Climate · Astronomy and Astrophysical Research
