151 citations · 260 across the 4 of their papers we have counts for
4 papers
Fermi LAT AGN classification using supervised machine learning
Nathaniel Cooper, Maria Giovanna Dainotti, Aditya Narendra +2
Classifying Active Galactic Nuclei (AGN) is a challenge, especially for BL Lac Objects (BLLs), which are identified by their weak emission line spectra. To address the problem of c…
Chandra Discovery of 10 New X-Ray Jets Associated With FR II Radio Core-Selected AGNs in the MOJAVE Sample
Brandon Hogan, Matthew Lister, Preeti Kharb +2
The Chandra X-ray observatory has proven to be a vital tool for studying high-energy emission processes in jets associated with Active Galactic Nuclei (AGN).We have compiled a samp…
Extended radio emission in MOJAVE Blazars: Challenges to Unification
P. Kharb, M. L. Lister, N. J. Cooper
We present the results of a study on the 1.4 GHz kpc-scale radio emission in the complete flux density limited MOJAVE sample, comprising 135 radio-loud AGNs. While extended emissio…
MOJAVE: Monitoring of Jets in AGN with VLBA Experiments. III. Deep VLA Images at 1.4 GHz
N. J. Cooper, M. L. Lister, M. D. Kochanczyk
The MOJAVE blazar sample consists of the 133 brightest, most compact radio-loud AGN in the northern sky, and is selected on the basis of VLBA 2 cm correlated flux density exceeding…