Testing 2D temperature models in Bayesian retrievals of atmospheric properties from hot Jupiter phase curves
Jingxuan Yang, Patrick G.J. Irwin, Joanna K. Barstow

TL;DR
This paper introduces a novel 2D temperature model for Bayesian retrievals of hot Jupiter atmospheres from phase curves, validated with synthetic data and applied to WASP-43b, revealing insights into temperature distribution and molecular abundances.
Contribution
The paper proposes a new 2D temperature scheme for atmospheric retrievals from phase curves, improving constraints on thermal structure and composition of hot Jupiters.
Findings
Dayside temperature profiles are non-inverted and uniform with longitude.
Nightside temperatures are extremely low, indicating cloud coverage.
H2O abundance is constrained, and CH4 upper bound is estimated.
Abstract
Spectroscopic phase curves of transiting hot Jupiters are spectral measurements at multiple orbital phases, giving a set of disc-averaged spectra that probe multiple hemispheres. By fitting model phase curves to observations, we can constrain the atmospheric properties of hot Jupiters such as molecular abundance, aerosol distribution and thermal structure, which offer insights into their dynamics, chemistry, and formation. In this work, we propose a novel 2D temperature scheme consisting of a dayside and a nightside to retrieve information from near-infrared phase curves, and apply the scheme to phase curves of WASP-43b observed by HST/WFC3 and Spitzer/IRAC. In our scheme, temperature is constant on isobars on the nightside and varies with cos(longitude/) on isobars on the dayside, where and are free parameters. We fit all orbital phases simultaneously using…
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Taxonomy
TopicsAstro and Planetary Science · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
