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The R2D2 Deep Neural Network Series Paradigm for Fast Precision Imaging in Radio Astronomy (2024)

First Author: Aghabiglou A

Attributed to: Scalable Precision Imaging in Radio Astronomy: from Learned denoisers on GPU to Science (SPIRALS) funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3847/1538-4365/ad46f5

Publication URI: http://dx.doi.org/10.3847/1538-4365/ad46f5

Type: Journal Article/Review

Parent Publication: The Astrophysical Journal Supplement Series

Issue: 1