Machine learning applications for the study of AGN physical properties using photometric observations

Sarah Mechbal, Markus Ackermann, Marek Kowalski

We investigate the physical nature of active galactic nuclei (AGNs) using machine learning (ML) tools. We show that the redshift, $z$, bolometric luminosity, $L_{\mathrm{Bol}}$, central…