27 citations · 46 across the 20 of their papers we have counts for
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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.IM2025★ 1 cited
J-PLUS: Turning Off the Bright Stars
Sepideh Eskandarlou, Mohammad Akhlaghi, Johan H. Knapen +23
Photometric surveys require precise point spread function (PSF) characterization, as it varies across filters and is crucial for accurate photometry and low surface brightness (LSB…