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astro-ph.IM2025★ 1 cited
Beetroots: spatially-regularized Bayesian inference of physical parameter maps -- Application to Orion
Pierre Palud, Emeric Bron, Pierre Chainais +28
The current generation of millimeter receivers is able to produce cubes of 800 000 pixels by 200 000 frequency channels to cover several square degrees over the 3 mm atmospheric wi…
astro-ph.IM2023★ 16 cited
Deep learning denoising by dimension reduction: Application to the ORION-B line cubes
Lucas Einig, Jérôme Pety, Antoine Roueff +29
Context. The availability of large bandwidth receivers for millimeter radio telescopes allows the acquisition of position-position-frequency data cubes over a wide field of view an…