most citedAccurate Machine Learning Atmospheric Retrieval via a Neural Network Surrogate Model for Radiative Transfer

43 citations · 43 across the 1 of their papers we have counts for

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1 paper

astro-ph.IM2020★ 43 cited

Accurate Machine Learning Atmospheric Retrieval via a Neural Network Surrogate Model for Radiative Transfer

Michael D. Himes, Joseph Harrington, Adam D. Cobb +8

Atmospheric retrieval determines the properties of an atmosphere based on its measured spectrum. The low signal-to-noise ratio of exoplanet observations require a Bayesian approach…