ExoGAN: Exoplanets Generative Adversarial Network

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Ada Coda
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ExoGAN: Exoplanets Generative Adversarial Network

Post by Ada Coda » Sat Dec 15, 2018 1:57 am

ExoGAN: Exoplanets Generative Adversarial Network

Abstract: 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.

Credit: Zingales, Tiziano; Waldmann, Ingo P.

Site: https://github.com/ucl-exoplanets/ExoGAN_public
https://ui.adsabs.harvard.edu/#abs/2018AJ....156..268Z

Bibcode: 2018ascl.soft12007Z

ID: ascl:1812.007

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