188 citations · 473 across the 20 of their papers we have counts for
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astro-ph.GA2020★ 18 cited
Deep Learning for Line Intensity Mapping Observations: Information Extraction from Noisy Maps
Kana Moriwaki, Masato Shirasaki, Naoki Yoshida
Line intensity mapping (LIM) is a promising observational method to probe large-scale fluctuations of line emission from distant galaxies. Data from wide-field LIM observations all…
astro-ph.GA2020★ 22 cited
Deep learning for intensity mapping observations: Component extraction
Kana Moriwaki, Nina Filippova, Masato Shirasaki +1
Line intensity mapping (LIM) is an emerging observational method to study the large-scale structure of the Universe and its evolution. LIM does not resolve individual sources but p…