activity
20172026
most citedBAT AGN Spectroscopic Survey-XX: Molecular Gas in Nearby Hard X-ray Selected AGN Galaxies

83 citations · 485 across the 24 of their papers we have counts for

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6 papers · 1 filter

astro-ph.GA2025

BASS LII: The prevalence of double-peaked broad lines at low accretion rates among hard X-ray selected AGN

Charlotte Ward, Michael J. Koss, Michael Eracleous +18

A fraction of active galactic nuclei (AGN) have double-peaked H, H and Mg II broad lines attributed to emission from rotating gas in the accretion disk. Using optical spectro…

astro-ph.GA2025

BASS LIII: The Eddington Ratio as the Primary Regulator of the Fraction of X-ray Emission in Active Galactic Nuclei

Kriti Kamal Gupta, Claudio Ricci, Alessia Tortosa +20

Active galactic nuclei (AGN) emit radiation via accretion across the entire energy spectrum. While the standard disk and corona model can somewhat describe this emission, it fails…

astro-ph.GA2025

BASS XLVIII: [Ne v] λ3427 Emission in Powerful Nearby Active Galactic Nuclei

Tomer Reiss, Benny Trakhtenbrot, Claudio Ricci +14

We investigate the high-ionization, narrow [Ne v] 3427 emission line in a sample of over 340 ultrahard X-ray (14-195 keV) selected Active Galactic Nuclei (AGN) drawn from the BA…

astro-ph.GA2025

BASS. XLIV. Morphological preferences of local hard X-ray selected AGN

Miguel Parra Tello, Franz E. Bauer, Demetra De Cicco +20

We present morphological classifications for the hosts of 1189 hard X-ray selected (14-195 keV) active galactic nuclei (AGNs) from the Swift-BAT 105-month catalog as part of the BA…

astro-ph.GA2025

AGN with massive black holes have closer galactic neighbors: k-Nearest-Neighbor statistics of an unbiased sample of AGN at z~0.03

A. Mhatre, M. C. Powell, S. Yuan +10

The large-scale environments of active galactic nuclei (AGN) reveal important information on the growth and evolution of supermassive black holes (SMBHs). Previous AGN clustering m…

astro-ph.GA2025

Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within in the Hyper Supreme-Cam Wide Survey

Chuan Tian, C. Megan Urry, Aritra Ghosh +8

We present a composite machine learning framework to estimate posterior probability distributions of bulge-to-total light ratio, half-light radius, and flux for Active Galactic Nuc…