Cloud Parameterizations and their Effect on Retrievals of Exoplanet Reflection Spectroscopy

Future space-based direct imaging missions will perform low-resolution (R$<$100) optical (0.3-1~$\mu$m) spectroscopy of planets, thus enabling reflected cool giants. Reflected light is encoded with rich information about the scattering and absorbing properties planet atmospheres. Given diversity clouds hazes expected in exoplanets, it imperative we solidify methodology to accurately precisely retrieve these that are agnostic cloud species. In particular, focus on determining how different parameterizations affect resultant inferences both atmospheric composition. We simulate mock observations spectra from three top priority giant targets effective temperatures, ranging 135 K 533 K. retrievals structure molecular abundances planets using four parameterizations, each increasing levels complexity. find retrieved strongly depend choice parameterization. For example, too simplistic tend overestimate abundances. Overall, unable precise/accurate gravity beyond $\pm$50\%. Lastly, even low SNR=5, R=40 gives cursory zeroth order insights into deck position relative Rayleigh depth level.