Atmospheric Parameter

Atmospheric parameter research focuses on accurately determining the chemical and physical properties of planetary atmospheres, primarily exoplanets, from observational data. Current research heavily utilizes machine learning, employing deep learning architectures like neural networks and normalizing flows, to overcome the computational challenges of inverse modeling and efficiently analyze complex spectroscopic data. These advancements enable more precise characterization of exoplanet atmospheres, improving our understanding of planetary formation and evolution, while similar techniques are also applied to terrestrial atmospheric monitoring for climate change analysis and precision agriculture.