Connecting JWST Silicate Cloud Observations to Exoplanet Cloud Microphysics with Nimbus

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Authors: Sven Kiefer, Caroline Morley, Melanie J. Rowland
Cited by: 2
References: 196

Abstract

Abstract The unprecedented accuracy of JWST has led to the detection of silicate clouds in exoplanet atmospheres, allowing astronomers for the first time to probe cloud formation in extreme environments. While parameterized cloud descriptions can fit these observations, the results do not fully agree with microphysical models. To bridge this gap, we developed Nimbus , a fast microphysical cloud model that can constrain cloud formation processes from observations, and utilize Virga , an equilibrium condensation model balancing gravitational settling and diffusion. Using both models, we investigate WASP-107 b, WASP-17 b, VHS-1256 b, and YSES-1 c to determine their cloud structure and constrain cloud formation processes. Our results show that all four planets have cluster-sized silicate particles ( r ∼ 1 nm) at high altitudes. Within Nimbus and Virga , these particles can only be explained by highly inefficient cloud particle settling ( f sed < 0.1) or by inefficient growth rates due to low sticking coefficients ( s < 10 −4 ). Our results also show that the sticking coefficient is directly linked to the vertical extent of clouds and can therefore be constrained using the broad shape of the spectral energy distribution. The sticking coefficients found for VHS-1256 b and YSES-1 c are in agreement with expectations from laboratory experiments under Earth-like conditions (0.01 < s < 0.3). Panchromatic observations were crucial to achieve these constraints. Future cloud studies should therefore aim to combine observational data from 1 μ m to 10 μ m whenever possible.

Fields of Study & Subjects

Astrophysics and Star Formation Studies Stellar planetary and galactic studies Astronomy and Astrophysical Research

Publication details

Journal / source
The Astrophysical Journal
Publisher
American Astronomical Society
Volume
1001
Issue
1
Pages
98–98
Publication date
8 April 2026
Language
EN