Retrieval of planetary and stellar properties in transmission spectroscopy with Aura
Arazi Pinhas, Benjamin V. Rackham, Nikku Madhusudhan, and D\'aniel, Apai

TL;DR
This paper introduces Aura, a new retrieval framework that simultaneously infers planetary and stellar properties from transmission spectra, accounting for stellar heterogeneity and atmospheric clouds/hazes, applied to a sample of hot exoplanets.
Contribution
Aura is a novel retrieval paradigm that jointly models planetary atmospheres and stellar surface inhomogeneities from transmission spectra, advancing exoplanet characterization.
Findings
Identified four distinct groups of exoplanets based on spectral features and stellar heterogeneity.
Demonstrated the importance of considering stellar surface features in transmission spectroscopy analysis.
Showed that different exoplanets exhibit varying levels of clouds, hazes, and stellar heterogeneity effects.
Abstract
Transmission spectroscopy provides a powerful probe of the atmospheric properties of transiting exoplanets. To date, studies of exoplanets in transit have focused on inferring their atmospheric properties such as chemical compositions, cloud/haze properties, and temperature structures. However, surface inhomogeneities in the host stars of exoplanets in the form of cool spots and hot faculae can in principle imprint signatures on the observed planetary transit spectrum. Here we present Aura, a new retrieval paradigm for inferring both planetary and stellar properties from a transmission spectrum. We apply our retrieval framework to a sample of hot giant exoplanets to determine the significance of stellar heterogeneity and clouds/hazes in their spectra. The retrieval analyses distinguish four groups of planets. First, the spectra of WASP-6b and WASP-39b are best characterised by imprints…
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