Accurate machine-learning atmospheric retrieval via a neural-network surrogate model for radiative transfer
Atmospheric retrieval determines the properties of an atmosphere based on its measured spectrum. The low signal-to-noise ratios of exoplanet observations require a Bayesian approach to determine posterior probability distributions of each model parameter, given observed spectra. This inference is co...
| मुख्य लेखकों: | , , , , , , , , , , |
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| स्वरूप: | Journal article |
| भाषा: | English |
| प्रकाशित: |
IOP Publishing
2022
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