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astro-ph.IM2025★ 1 cited
The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…
astro-ph.CO2025
J-PAS and PFS surveys in the era of dark energy and neutrino mass measurements
Fuxing Qin, Yuting Wang, Gong-Bo Zhao +28
Fisher-matrix forecasts are presented for the cosmological surveys of the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) and the Subaru Prime Focus Sp…