Exploring Biases of Atmospheric Retrievals in Simulated JWST Transmission Spectra of Hot Jupiters
M. Rocchetto, I.P. Waldmann, O. Venot, P.-O. Lagage, G. Tinetti

TL;DR
This study evaluates biases in atmospheric retrievals of hot Jupiters with JWST, showing that simple assumptions can lead to significant errors but also enable temperature profiling.
Contribution
It demonstrates the impact of different retrieval assumptions on bias and uncertainty, highlighting the potential for temperature profile characterization.
Findings
Isothermal assumption causes overestimation of abundances.
Parametrized temperature profiles yield more accurate results.
Constant-with-altitude mixing ratios are generally valid.
Abstract
With a scheduled launch in October 2018, the James Webb Space Telescope (JWST) is expected to revolutionise the field of atmospheric characterization of exoplanets. The broad wavelength coverage and high sensitivity of its instruments will allow us to extract far more information from exoplanet spectra than what has been possible with current observations. In this paper, we investigate whether current retrieval methods will still be valid in the era of JWST, exploring common approximations used when retrieving transmission spectra of hot Jupiters. To assess biases, we use 1D photochemical models to simulate typical hot Jupiter cloud-free atmospheres and generate synthetic observations for a range of carbon-to-oxygen ratios. Then, we retrieve these spectra using TauREx, a Bayesian retrieval tool, using two methodologies: one assuming an isothermal atmosphere, and one assuming a…
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