430 citations · 2.3k across the 38 of their papers we have counts for
6 papers · 1 filter
Radio Galaxy Zoo: Observational evidence for environment as the cause of radio source asymmetry
P. E. Rodman, R. J. Turner, S. S. Shabala +7
We investigate the role of environment on radio galaxy properties by constructing a sample of large (~kpc), nearby () radio sources identified as part of the Rad…
Radio Galaxy Zoo: Machine learning for radio source host galaxy cross-identification
M. J. Alger, J. K. Banfield, C. S. Ong +6
We consider the problem of determining the host galaxies of radio sources by cross-identification. This has traditionally been done manually, which will be intractable for wide-are…
Radio Galaxy Zoo: ClaRAN - A Deep Learning Classifier for Radio Morphologies
Chen Wu, O. Ivy Wong, Lawrence Rudnick +13
The upcoming next-generation large area radio continuum surveys can expect tens of millions of radio sources, rendering the traditional method for radio morphology classification t…
Optical Detection of Star Formation in a Cold Dust Cloud in the Counterjet Direction of Centaurus A
William C. Keel, Julie K. Banfield, Anne Medling +1
We identify optical emission-line features 700" (12 kpc) southwest of the nucleus of Centaurus A, roughly opposite the radio jet and well-known optical emission filaments associate…
A Multi-Frequency Study of the Milky Way-like Spiral Galaxy NGC 6744
Miranda Yew, Miroslav D. Filipović, Quentin Roper +14
We present a multi-frequency study of the intermediate spiral SAB(r)bc type galaxy NGC 6744, using available data from the Chandra X-Ray telescope, radio continuum data from the Au…
Radio Galaxy Zoo: Compact and extended radio source classification with deep learning
V. Lukic, M. Brüggen, J. K. Banfield +4
Machine learning techniques have been increasingly useful in astronomical applications over the last few years, for example in the morphological classification of galaxies. Convolu…