collaborators

1 paper

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…