56 citations · 569 across the 26 of their papers we have counts for
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astro-ph.IM2020★ 55 cited
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…
astro-ph.IM2019★ 47 cited
J-PLUS: photometric calibration of large area multi-filter surveys with stellar and white dwarf loci
C. López-Sanjuan, J. Varela, D. Cristóbal-Hornillos +22
We present the photometric calibration of the twelve optical passbands observed by the Javalambre Photometric Local Universe Survey (J-PLUS). The proposed calibration method has fo…