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[ascl:1812.007] ExoGAN: Exoplanets Generative Adversarial Network

ExoGAN (Exoplanets Generative Adversarial Network) analyzes exoplanetary atmospheres using an unsupervised deep-learning algorithm that recognizes molecular features, atmospheric trace-gas abundances, and planetary parameters. After training, ExoGAN can be applied to a large number of instruments and planetary types and can be used either as a final atmospheric analysis or to provide prior constraints to subsequent retrieval.

Code site:
https://github.com/ucl-exoplanets/ExoGAN_public
Described in:
https://ui.adsabs.harvard.edu/abs/2018AJ....156..268Z
Bibcode:
2018ascl.soft12007Z

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ascl:1812.007
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