12 citations · 14 across the 6 of their papers we have counts for
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astro-ph.IM2026
Optimizing the extraction of information from redshift probability distribution functions
Rodrigo Duarte, Valerio Marra
Photometric redshifts are essential for large-scale structure analyses, yet extracting optimal point estimates and reliability measures from the probability distribution functions…
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…