A consistent retrieval analysis of 10 Hot Jupiters observed in transmission

TL;DR

This study performs a uniform retrieval analysis of ten hot Jupiter exoplanets' transmission spectra, revealing common atmospheric features such as aerosols and cloud types, and demonstrating the effectiveness of retrieval methods for future JWST data.

Contribution

It provides the first consistent atmospheric retrieval analysis of ten hot Jupiters, comparing aerosol models and identifying key atmospheric characteristics across different planets.

Findings

All planets show evidence of aerosols in their atmospheres.

Rayleigh scattering aerosols fit some planets, while grey clouds fit others.

Little evidence for molecular absorbers besides water vapor.

Abstract

We present a consistent optimal estimation retrieval analysis of ten hot Jupiter exoplanets, each with transmission spectral data spanning the visible to near-infrared wavelength range. Using the NEMESIS radiative transfer and retrieval tool, we calculate a range of possible atmospheric states for WASP-6b, WASP-12b, WASP-17b, WASP-19b, WASP-31b, WASP-39b, HD 189733b, HD 209458b, HAT-P-1b and HAT-P-12b. We find that the spectra of all ten planets are consistent with the presence of some atmospheric aerosol; WASP-6b, WASP-12b, WASP-17b, WASP-19b, HD 189733b and HAT-P-12b are all fit best by Rayleigh scattering aerosols, whereas WASP-31b, WASP-39b and HD 209458b are better represented by a grey cloud model. HAT-P-1b has solutions that fall into both categories. WASP-6b, HAT-P-12b, HD 189733b and WASP-12b must have aerosol extending to low atmospheric pressures (below 0.1 mbar). In general, planets with equilibrium temperatures between 1300 and 1700 K are best represented by deeper, grey cloud layers, whereas cooler or hotter planets are better fit using high Rayleigh scattering aerosol. We find little evidence for the presence of molecular absorbers other than H$_2$O. Retrieval methods can provide a consistent picture across a range of hot Jupiter atmospheres with existing data, and will be a powerful tool for the interpretation of James Webb Space Telescope observations.