The miniJPAS and J-NEP Surveys: Machine Learning for Star-Galaxy Separation
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJPAS and J-NEP. Leveraging crossmatches with spectroscopic and photometric catalogs, we construct a robust labeled dataset comprising 14,594 sources classified into
Jeakel, Ana Paula et al.
Fecha de publicación:
1
2026