TL;DR
This paper introduces a 3D atmospheric retrieval framework using ARCiS to analyze phase curve data of exoplanet WASP-43b, revealing insights into its atmospheric composition and temperature structure.
Contribution
The authors developed a novel 3D retrieval framework for exoplanet atmospheres and applied it to real observational data of WASP-43b, demonstrating its effectiveness.
Findings
Consistent super-solar C/O ratios and metallicities across retrieval setups.
Spitzer phase data significantly influence temperature and hotspot shift estimates.
The framework is suitable for analyzing extensive phase curve datasets.
Abstract
Aims. To create a retrieval framework which encapsulates the 3D nature of exoplanet atmospheres, and to apply it to observed emission phase curve and transmission spectra of hot Jupiter exoplanet WASP-43b. Methods. We present our 3D framework, which is freely available as a stand-alone module from GitHub. We use the atmospheric modelling and Bayesian retrieval package ARCiS (ARtful modelling Code for exoplanet Science) to perform 8 3D retrievals on simultaneous transmission (HST/WFC3) and phase-dependent emission (HST/WFC3, Spitzer/IRAC) observations of WASP-43b as a case study. We assess how input assumptions affect our retrieval outcomes. In particular we look at constraining equilibrium chemistry vs a free molecular retrieval, the case of no clouds vs parametrised clouds, and using Spitzer phase data that have been reduced from two different literature sources. For the free chemistry…
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