6 papers
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…
VAR-PZ: Constraining the Photometric Redshifts of Quasars using Variability
S. Satheesh-Sheeba, R. J. Assef, T. Anguita +33
The Vera C. Rubin Observatory LSST is expected to discover tens of millions of new Active Galactic Nuclei (AGNs). The survey's exceptional cadence and sensitivity will enable UV/op…
The Nature of an Unidentified X-ray Source in the 7 Ms Chandra Deep Field-South Catalog
Quinn P. Sullivan, Zhibo Yu, William N. Brandt +2
In the 7 Ms Chandra Deep Field-South catalog, only one source, XID 912, was highly significantly detected in X-rays but had no formally reported counterparts in the UV, optical, in…
Investigating the Star-Formation Characteristics of Radio Active Galactic Nuclei
Bojun Zhang, Fan Zou, W. N. Brandt +5
The coevolution of supermassive black holes and their host galaxies represents a fundamental question in astrophysics. One approach to investigating this question involves comparin…
A Rapidly Accreting Active Galactic Nucleus Hidden in a Dust-Obscured Galaxy at
Nathan Cristello, Fan Zou, William N. Brandt +3
Dust-obscured galaxies (DOGs) containing central supermassive black holes (SMBHs) that are rapidly accreting (i.e., having high Eddington ratios, ) may represent a…
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…