Silicate Sundogs: Probing the Effects of Grain Directionality in Exoplanet Observations

TL;DR

This paper investigates how the orientation of crystalline aerosols in exoplanet atmospheres affects observed spectra, demonstrating potential detection with JWST and providing tools for future aerosol analysis.

Contribution

It introduces directional-dependent optical properties of crystalline aerosols and models their spectral effects, highlighting the potential to probe aerosol orientation in exoplanet atmospheres.

Findings

Aerosol orientation can cause >100 ppm spectral differences in the 8-12 μm range.

JWST MIRI LRS data shows weak hints of aerosol directionality.

Current data cannot fully explain transmission spectra through orientation alone.

Abstract

Crystalline ice in Earth's atmosphere can produce spectacular phenomena due to orientation-dependent attenuation, such as sun dogs and halos, providing diagnostics of the external processes acting on the aerosol grains. Crystalline mineral aerosols, such as quartz (SiO$_2$) and enstatite/forsterite (MgSiO$_3$/Mg$_2$SiO$_4$), have long been predicted to form in hot Jupiter atmospheres with JWST MIRI LRS verifying the existence of crystalline quartz observationally. Due to the strong horizontal winds ($\sim$ 1 - 5 km s$^{-1}$) and small aerosol grains ($<1$ $\mu$m) found in hot Jupiter atmospheres, we show that aerosols could be mechanically aligned with the winds. We then derive directional-dependent optical properties of quartz, enstatite, and forsterite and model transmission and emission spectra assuming random and mechanically aligned orientations, finding that the orientation of all three crystalline aerosols can impart $\geq$ 100 ppm differences in observed spectra (8 - 12 $\mu$m). We run retrievals on JWST MIRI LRS transmission and emission data of WASP-17b and find that directionality alone cannot physically explain the transmission data, pointing towards polymorphs or insufficient lab data, and find weak hints of directionality (1.0 - 1.3$\sigma$) in the emission data. This work demonstrates the power of JWST MIRI LRS in detecting aerosol directionality with future observations, and a technique by which to probe how aerosols interact with atmospheric dynamical processes. To foster the exploration of aerosols in exoplanet data, the open-source code POSEIDON has been updated (v1.3.1) to include 144 new directional and temperature aerosols with precomputed optical properties, alongside new aerosol models.