JWST data on NGTS-10A b shows nightside CH4 depletion caused by day-to-night horizontal transport rather than vertical mixing or non-solar abundances.
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The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.
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Horizontal transport as a source of disequilibrium chemistry on the nightside of a hot exoplanet
JWST data on NGTS-10A b shows nightside CH4 depletion caused by day-to-night horizontal transport rather than vertical mixing or non-solar abundances.
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Machine Learning as a Transformative Tool for (Exo-)Planetary Science
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.