Atmospheric Retrieval for Direct Imaging Spectroscopy of Gas Giants In Reflected Light II: Orbital Phase and Planetary Radius
Michael Nayak, Roxana Lupu, Mark Marley, Jonathan Fortney, Tyler, Robinson, Nikole Lewis

TL;DR
This paper develops and tests Markov Chain Monte Carlo retrieval methods to interpret reflected-light spectra of gas giants, focusing on how unknown planet radius and phase angle affect atmospheric parameter estimation.
Contribution
It introduces advanced retrieval techniques that account for unknown planetary radius and phase angle, improving interpretation of direct imaging spectra.
Findings
SNR of 20 is needed for accurate methane retrieval across metallicities.
Planet radius can be constrained within a factor of two even with uncertain phase angle.
Combining observations at multiple phase angles improves parameter estimation.
Abstract
Future space-based telescopes, such as the Wide-Field Infrared Survey Telescope (WFIRST), will observe the reflected-light spectra of directly imaged extrasolar planets. Interpretation of such data presents a number of novel challenges, including accounting for unknown planet radius and uncertain stellar illumination phase angle. Here we report on our continued development of Markov Chain Monte Carlo retrieval methods for addressing these issues in the interpretation of such data. Specifically we explore how the unknown planet radius and potentially poorly known observer-planet-star phase angle impacts retrievals of parameters of interest such as atmospheric methane abundance, cloud properties and surface gravity. As expected, the uncertainty in retrieved values is a strong function of signal-to-noise ratio (SNR) of the observed spectra, particularly for low metallicity atmospheres,…
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