Cloud Parameterizations and their Effect on Retrievals of Exoplanet Reflection Spectroscopy
Sagnick Mukherjee, Natasha E. Batalha, Mark S. Marley

TL;DR
This study investigates how different cloud models affect the retrieval of atmospheric properties from low-resolution reflected spectra of exoplanets, highlighting the importance of model choice for accurate atmospheric characterization.
Contribution
It systematically compares four cloud parameterizations in retrievals of reflected spectra from cool giant exoplanets, revealing their impact on inferred atmospheric and cloud properties.
Findings
Simplistic models overestimate molecular abundances.
Retrievals struggle to accurately determine planetary gravity.
Low SNR and resolution spectra provide only basic cloud information.
Abstract
Future space-based direct imaging missions will perform low-resolution (R100) optical (0.3-1~m) spectroscopy of planets, thus enabling reflected spectroscopy of cool giants. Reflected light spectroscopy is encoded with rich information about the scattering and absorbing properties of planet atmospheres. Given the diversity of clouds and hazes expected in exoplanets, it is imperative we solidify the methodology to accurately and precisely retrieve these scattering and absorbing properties that are agnostic to cloud species. In particular, we focus on determining how different cloud parameterizations affect resultant inferences of both cloud and atmospheric composition. We simulate mock observations of the reflected spectra from three top priority direct imaging cool giant targets with different effective temperatures, ranging from 135 K to 533 K. We perform retrievals of cloud…
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