16 citations · 20 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Hidden Monsters with SPHEREx I: A goldmine for heavily reddened quasars at cosmic noon
Matthew Stepney, Manda Banerji, Franz E. Bauer +2
Heavily reddened quasars (HRQs) are luminous, dust-obscured broad-line quasars thought to represent a short-lived phase of intense black hole growth and feedback. Previous studies…
A large population of over-massive black hole quasars at z=0.3-0.8 revealed by eROSITA
Johannes Buchner, Isabelle Gauger, Qiaoya Wu +14
In most galaxies, the central black hole accounts for no more than a percent of the total mass in stars. Recently, however, extremely over-massive black holes with ratios of 10% ha…