A review of ML/DL methods for exoplanet transit detection, vetting, and atmospheric retrieval in the JWST and Ariel contexts, highlighting performance gains and open challenges.
Blanchard and Edo Berger and Ryan Chornock and Raffaella Margutti and Sebastian Gomez and Ragnhild Lunnan and Adam A
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Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission
A review of ML/DL methods for exoplanet transit detection, vetting, and atmospheric retrieval in the JWST and Ariel contexts, highlighting performance gains and open challenges.
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