The Role of Intrinsic Temperature and Vertical Mixing in Characterizing Sub-Neptune Atmospheres

TL;DR

This study explores how intrinsic temperature and vertical mixing influence sub-Neptune atmospheric composition, emphasizing the importance of comprehensive modeling for accurate interpretation of spectra and planetary interior classification.

Contribution

The paper introduces a self-consistent grid of models varying intrinsic temperature and vertical mixing, revealing their significant effects on atmospheric molecules and improving sub-Neptune characterization.

Findings

Tint and Kzz greatly affect key atmospheric molecules.

Single-parameter assumptions can mislead interior classification.

Multi-molecule diagnostics help distinguish atmospheric models.

Abstract

Sub-Neptune planets are often modeled with a dense rocky or metal-rich interior beneath a thick hydrogen/helium (H/He) atmosphere; though their bulk densities could also be explained by a water-rich interior with a thin H/He atmosphere. Atmospheric composition provides a key mechanism to break this degeneracy between competing interior models. However, the overall composition of sub-Neptunes inferred from spectra obtained with the James Webb Space Telescope, remains debated in part due to differences in modeling assumptions. While previous studies explored parameter spaces such as stellar spectra, atmospheric metallicities, and carbon-to-oxygen ratios, they often assumed fixed intrinsic temperatures (Tint) and vertical eddy diffusion coefficients (Kzz) - two critical, yet poorly constrained, drivers of atmospheric chemistry. To address this, we present a self-consistent grid of models that covers the full plausible range of Tint (60 - 450 K) and Kzz (10^{5} - 10^{12} cm^2/s) using the open-source PICASO and VULCAN packages to better characterize sub-Neptune atmospheres. Focusing on K2-18b analogs, we demonstrate that Tint and Kzz significantly impact CH4, CO2, CO, NH3 and HCN abundances, with H2O being largely unaffected. Our work demonstrates that comprehensive parameter space exploration of thermal and mixing parameters is essential for accurate interpretation of sub-Neptune spectra, and that single-parameter assumptions can lead to misclassification of planetary interiors. We provide a diagnostic framework using multi-molecule observations to distinguish between competing atmospheric models and advance robust characterization of sub-Neptunes.