Radio Galaxy Classification with wGAN-Supported Augmentation

Novel techniques are indispensable to process the flood of data from the new generation of radio telescopes. In particular, the classification of astronomical sources in images is challenging. Morphological classification of radio galaxies could be automated with deep learning models that require la...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Kummer, Janis, Rustige, Lennart, Griese, Florian, Borras, Kerstin, Brüggen, Marcus, Connor, Patrick L S, Gaede, Frank, Kasieczka, Gregor, Schleper, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomical models Celestial bodies Image classification Machine learning Neural networks Physics - Astrophysics of Galaxies Physics - Instrumentation and Methods for Astrophysics Radio astronomy Radio galaxies Radio sources (astronomy) Radio telescopes Training
Online-Zugang:	Volltext
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