29 citations · 39 across the 3 of their papers we have counts for
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astro-ph.IM2019★ 10 cited
The PAU Survey: Background light estimation with deep learning techniques
Laura Cabayol-Garcia, Martin B. Eriksen, Àlex Alarcón +17
In any imaging survey, measuring accurately the astronomical background light is crucial to obtain good photometry. This paper introduces BKGnet, a deep neural network to predict t…
astro-ph.IM2018★ 29 cited
The PAU Survey: star-galaxy classification with multi narrow-band data
Laura Cabayol, Ignacio Sevilla-Noarbe, Enrique Fernández +18
Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In th…