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Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa127
Abstract: We present the first reconstruction of dark matter maps from weak lensing observational data using deep learning. We train a convolution neural network with a U-Net-based architecture on over 3.6 × 10^5 simulated data realizations with non-Gaussian…
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Keywords:
learning dark;
dark matter;
deep learning;
weak lensing ... See more keywords