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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…
Radio Galaxy Zoo Data Release 1: 100,185 radio source classifications from the FIRST and ATLAS surveys
O. Ivy Wong, A. F. Garon, M. J. Alger +15
Radio galaxies can extend far beyond the stellar component of their originating host galaxies, and their radio emission can consist of multiple discrete components. Furthermore, th…
Using Machine Learning to Determine Morphologies of AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey
Chuan Tian, C. Megan Urry, Aritra Ghosh +9
We present a machine-learning framework to accurately characterize morphologies of Active Galactic Nucleus (AGN) host galaxies within . We first use PSFGAN to decouple host ga…
BASS XXVI: DR2 Host Galaxy Stellar Velocity Dispersions
Michael J. Koss, Benny Trakhtenbrot, Claudio Ricci +18
We present new central stellar velocity dispersions for 484 Sy 1.9 and Sy 2 from the second data release of the Swift/BAT AGN Spectroscopic Survey (BASS DR2). This constitutes the…
BASS XXII: The BASS DR2 AGN Catalog and Data
Michael J. Koss, Claudio Ricci, Benny Trakhtenbrot +32
We present the AGN catalog and optical spectroscopy for the second data release of the Swift BAT AGN Spectroscopic Survey (BASS DR2). With this DR2 release we provide 1425 optical…
BAT AGN Spectroscopic Survey XXI: The Data Release 2 Overview
Michael J. Koss, Benny Trakhtenbrot, Claudio Ricci +24
The BAT AGN Spectroscopic Survey (BASS) is designed to provide a highly complete census of the key physical parameters of supermassive black holes (SMBHs) that power local active g…