Reassessing Exoplanet Light Curves with a Thermal Model

TL;DR

This study uses a simple thermal model to analyze near-infrared light curves of ten hot Jupiter exoplanets, successfully reproducing key emission features and revealing atmospheric diversity, but highlights the need for higher quality data for better physical insights.

Contribution

It demonstrates that a four-parameter blackbody model can effectively interpret phase curves of multiple exoplanets, with some limitations, providing a uniform assessment method for planetary atmospheres.

Findings

Model accurately reproduces emission extrema and phase offsets.

Discrepancies in night-side temperatures indicate layered atmospheres.

Diversity in albedos suggests varying atmospheric opacities.

Abstract

We present a uniform assessment of existing near-infrared Spitzer Space Telescope observations of planet-bearing stars. Using a simple four-parameter blackbody thermal model, we analyze stars for which photometry in at least one of Spitzer's IRAC bands has been obtained over either the entirety or a significant fraction of the planetary orbit. Systems in this category comprise ten well-studied systems with Hot Jupiters on circular or near-circular orbits (HAT-P-7, HD 149026, HD 189733, HD 209458, WASP-12, WASP-14, WASP-18, WASP-19, WASP-33, and WASP-43), as well as three stars harboring planets on significantly eccentric orbits (GJ 436, HAT-P-2, and HD 80606). We find that our simple model, in almost all cases, accurately reproduces the minimum and maximum planetary emission, as well as the phase offsets of these extrema with respect to transits/secondary eclipses. For one notable exception, WASP-12 b, adding an additional parameter to account for its tidal distortion is not sufficient to reproduce its photometric features. Full-orbit photometry is available in multiple wavelengths for 10 planets. We find that the returned parameter values for independent fits to each band are largely in agreement. However, disagreements in night-side temperature suggest distinct atmospheric layers, each with their own characteristic minimum temperature. In addition, a diversity in albedos suggests variation in opacity of the photospheres. While previous works have pointed out trends in photometric features based on system properties, we cannot conclusively identify analogous trends for physical model parameters. To make the connection between full-phase data and physical models more robust, a higher signal-to-noise must come from both increased resolution and a careful treatment of instrumental systematics.