The miniJPAS survey: star-galaxy classification using machine learning
Context. Future astrophysical surveys such as J-PAS will produce very large datasets, the so-called "big data", which will require the deployment of accurate and efficient machine-learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about ∼1 deg 2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band
Baqui, P. O. et al.
Fecha de publicación:
1
2021