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ASCL Code Record

[ascl:2307.055] plan-net: Bayesian neural networks for exoplanetary atmospheric retrieval

plan-net uses machine learning with an ensemble of Bayesian neural networks for atmospheric retrieval; this approach yields greater accuracy and more robust uncertainties than a single model. A new loss function for BNNs learns correlations between the model outputs. Performance is improved by incorporating domain-specific knowledge into the machine learning models and provides additional insight by inferring the covariance of the retrieved atmospheric parameters.

Code site:
https://github.com/exoml/plan-net
Described in:
https://ui.adsabs.harvard.edu/abs/2019AJ....158...33C
Bibcode:
2023ascl.soft07055C

Views: 713

ascl:2307.055
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