12 citations · 19 across the 5 of their papers we have counts for
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astro-ph.GA2026
VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features
S. Satheesh-Sheeba, P. Sánchez-Sáez, R. J. Assef +39
Photometric redshift estimation for active galactic nuclei (AGNs) remains a fundamental challenge for current and upcoming large-scale photometric surveys. Traditional spectral ene…
astro-ph.GA2026
Galaxy interactions in void substructures: Morphology and stellar populations of two triplets from CAVITY
G. M. Azevedo, A. L. Chies-Santos, R. Riffel +5
Context. Cosmic voids are underdense regions of the Universe that provide a unique environment to study galaxy evolution in relative isolation. Galaxy triplets in voids are rare sy…