HELIOS-Retrieval: An Open-source, Nested Sampling Atmospheric Retrieval Code, Application to the HR 8799 Exoplanets and Inferred Constraints for Planet Formation
Baptiste Lavie, Jo\~ao M. Mendon\c{c}a, Christoph Mordasini, Matej, Malik, Micka\"el Bonnefoy, Brice-Olivier Demory, Maria Oreshenko, Simon L., Grimm, David Ehrenreich, Kevin Heng

TL;DR
HELIOS-Retrieval is an open-source atmospheric retrieval code that analyzes exoplanet spectra to infer chemical compositions and temperature profiles, applying Bayesian model comparison to study the formation history of HR 8799 planets.
Contribution
The paper introduces HELIOS-R, a novel open-source retrieval tool utilizing nested sampling and analytical radiative transfer solutions for exoplanet atmospheric analysis.
Findings
Supersolar C/O, C/H, O/H in outer HR 8799b and c
Inner HR 8799d and e have substellar C/O, C/H, superstellar O/H
Spectroscopy in the K band is crucial for HR 8799e constraints
Abstract
We present an open-source retrieval code named HELIOS-Retrieval (hereafter HELIOS-R), designed to obtain chemical abundances and temperature-pressure profiles from inverting the measured spectra of exoplanetary atmospheres. In the current implementation, we use an exact solution of the radiative transfer equation, in the pure absorption limit, in our forward model, which allows us to analytically integrate over all of the outgoing rays (instead of performing Gaussian quadrature). Two chemistry models are considered: unconstrained chemistry (where the mixing ratios are treated as free parameters) and equilibrium chemistry (enforced via analytical formulae, where only the elemental abundances are free parameters). The nested sampling algorithm allows us to formally implement Occam's Razor based on a comparison of the Bayesian evidence between models. We perform a retrieval analysis on the…
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