The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy (2024)
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/10.48550/arxiv.2403.05452
Publication URI: https://arxiv.org/abs/2403.05452
Type: Preprint