4 papers · 1 filter
Photometric Selection of type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk-Corona Connection
Jian Huang, Bin Luo, W. N. Brandt +4
We present photometric selection of type 1 quasars in the XMM-Large Scale Structure (XMM-LSS) survey field with machine learning. We constructed our trai…
Dust-Obscured Galaxies in the XMM-SERVS Fields: Selection, Multiwavelength Characterization, and Physical Nature
Zhibo Yu, W. N. Brandt, Fan Zou +7
Dust-obscured galaxies (DOGs) are enshrouded by dust, and many are believed to host accreting supermassive black holes (SMBHs), which makes them unique objects for probing the coev…
Rare Occasions: Tidal Disruption Events Rarely Power the AGNs Observed in Dwarf Galaxies
Joanne Tan, Guang Yang, Jonelle L. Walsh +6
Tidal disruption events (TDEs) could be an important growth channel for massive black holes in dwarf galaxies. Theoretical work suggests that the observed active galactic nuclei (A…
The Cosmic Evolution of the Supermassive Black Hole Population: A Hybrid Observed Accretion and Simulated Mergers Approach
Fan Zou, W. N. Brandt, Elena Gallo +4
Supermassive black holes (SMBHs) can grow through both accretion and mergers. It is still unclear how SMBHs evolve under these two channels from high redshifts to the SMBH populati…