Spitzer phase curve observations and circulation models of the inflated ultra-hot Jupiter WASP-76b
Erin M. May, Thaddeus D. Komacek, Kevin B. Stevenson, Eliza M.-R., Kempton, Jacob L. Bean, Matej Malik, Jegug Ih, Megan Mansfield, Arjun B., Savel, Drake Deming, Jean-Michel Desert, Y. Katherina Feng, Jonathan J., Fortney, Tiffany Kataria, Nikole Lewis, Caroline Morley

TL;DR
This study presents the first Spitzer phase curve observations of the ultra-hot Jupiter WASP-76b, revealing a hot dayside, cold nightside, and the influence of interior evolution on atmospheric dynamics.
Contribution
It provides observational evidence linking interior models to atmospheric circulation and phase curve characteristics of WASP-76b, highlighting the role of interior temperature and frictional drag.
Findings
WASP-76b has an ultra-hot dayside and cold nightside with specific brightness temperatures.
Small phase offsets suggest strong frictional drag influences atmospheric circulation.
Only models with a cold interior match the observed cold nightside and phase curve amplitude.
Abstract
The large radii of many hot Jupiters can only be matched by models that have hot interior adiabats, and recent theoretical work has shown that the interior evolution of hot Jupiters has a significant impact on their atmospheric structure. Due to its inflated radius, low gravity, and ultra-hot equilibrium temperature, WASP-76b is an ideal case study for the impact of internal evolution on observable properties. Hot interiors should most strongly affect the non-irradiated side of the planet, and thus full phase curve observations are critical to ascertain the effect of the interior on the atmospheres of hot Jupiters. In this work, we present the first Spitzer phase curve observations of WASP-76b. We find that WASP-76b has an ultra-hot day side and relatively cold nightside with brightness temperatures of / at and $2699 \pm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
