Deep Learning-based galaxy image deconvolution

With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different images. A powerful and accessible deconvolution method would allow for the reconstruction of a cleaner...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Akhaury, Utsav, Starck, Jean-Luc, Jablonka, Pascale, Courbin, Frédéric, Michalewicz, Kevin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Celestial bodies Computer simulation Deconvolution Galactic evolution Machine learning Neural networks Noise levels Physics - Instrumentation and Methods for Astrophysics Sky surveys (astronomy) Star & galaxy formation
Online-Zugang:	Volltext
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