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GalaxyGAN: Generative Adversarial Networks for recovery of galaxy features

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Ada Coda
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GalaxyGAN: Generative Adversarial Networks for recovery of galaxy features

Postby Ada Coda » Mon Feb 27, 2017 4:03 am

GalaxyGAN: Generative Adversarial Networks for recovery of galaxy features

Abstract: GalaxyGAN uses Generative Adversarial Networks to reliably recover features in images of galaxies. The package uses machine learning to train on higher quality data and learns to recover detailed features such as galaxy morphology by effectively building priors. This method opens up the possibility of recovering more information from existing and future imaging data.

Credit: Schawinski, Kevin; Zhang, Ce; Zhang, Hantian; Fowler, Lucas; Krishnan Santhanam, Gokula

Site: http://space.ml/proj/GalaxyGAN.html
http://adsabs.harvard.edu/abs/2017MNRAS.467L.110S

Bibcode: 2017ascl.soft02006S

ID: ascl:1702.006
Last edited by Ada Coda on Sat Mar 31, 2018 4:22 pm, edited 1 time in total.
Reason: Updated code entry.

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