A Temperature and Abundance Retrieval Method for Exoplanet Atmospheres

TL;DR

This paper introduces a comprehensive retrieval method for exoplanet atmospheres that combines large-scale modeling with observational data to constrain temperature profiles and molecular abundances, revealing atmospheric variability.

Contribution

The authors develop a novel parametric P-T profile coupled with radiative transfer and apply it to real exoplanet data, enabling detailed atmospheric characterization.

Findings

Efficient energy redistribution in HD 189733b's atmosphere.

Detection of H2O, CO, CH4, and CO2 in both exoplanets.

Evidence of atmospheric variability and chemical composition changes.

Abstract

We present a new method to retrieve molecular abundances and temperature profiles from exoplanet atmosphere photometry and spectroscopy. We run millions of 1D atmosphere models in order to cover the large range of allowed parameter space, and present error contours in the atmospheric properties, given the data. In order to run such a large number of models, we have developed a parametric pressure-temperature (P-T) profile coupled with line-by-line radiative transfer, hydrostatic equilibrium, and energy balance, along with prescriptions for non-equilibrium molecular composition and energy redistribution. We apply our temperature and abundance retrieval method to the atmospheres of two transiting exoplanets, HD 189733b and HD 209458b, which have the best available Spitzer and HST observations. For HD 189733b, we find efficient day-night redistribution of energy in the atmosphere, and molecular abundance constraints confirming the presence of H2O, CO, CH4, and CO2. For HD 209458b, we confirm and constrain the day-side thermal inversion in an average 1D temperature profile. We also report independent detections of H$_2$O, CO, CH$_4$ and CO$_2$ on the dayside of HD 209458b, based on six-channel Spitzer photometry. We report constraints for HD 189733b due to individual data sets separately; a few key observations are variable in different data sets at similar wavelengths. Moreover, a noticeably strong carbon dioxide absorption in one data set is significantly weaker in another. We must, therefore, acknowledge the strong possibility that the atmosphere is variable, both in its energy redistribution state and in the chemical abundances.