Information content of JWST spectra of WASP-39b

• Published in: Astronomy and astrophysics (Berlin) Vol. 687; p. A110
• Main Authors: Lueber, Anna, Novais, Aline, Fisher, Chloe, Heng, Kevin
• Format: Journal Article
• Language: English
• Published: Heidelberg EDP Sciences 01.07.2024
• Subjects: Bayesian analysis; Carbon dioxide; Clouds; Complexity; Extrasolar planets; James Webb Space Telescope; Machine learning; Opacity; Oxygen; Planetary atmospheres; Pressure dependence; Sampling methods; Space telescopes; Spectra; Spectrum analysis; Statistical inference; Sulfur dioxide; Supervised learning; Temperature dependence

Context. The era of James Webb Space Telescope (JWST) transmission spectroscopy of exoplanetary atmospheres commenced with the study of the Saturn-mass gas giant WASP-39b as part of the Early Release Science (ERS) program. WASP-39b was observed using several different JWST instrument modes (NIRCam,,...