Radio Galaxy Zoo: A Search for Hybrid Morphology Radio Galaxies [PDF]
The Astronomical Journal, 2017 Hybrid morphology radio sources (HyMoRS) are a rare type of radio galaxy that display different Fanaroff–Riley classes on opposite sides of their nuclei.
A. Kapińska +19 more
semanticscholar +7 more sources
Radio Galaxy Zoo : host galaxies and radio morphologies derived from visual inspection [PDF]
Monthly Notices of the Royal Astronomical Society, 2015 We present results from the first twelve months of operation of Radio Galaxy Zoo, which upon completion will enable visual inspection of over 170,000 radio sources to determine the host galaxy of the radio emission and the radio morphology.
J. Banfield +39 more
semanticscholar +11 more sources
Radio Galaxy Zoo: machine learning for radio source host galaxy cross-identification [PDF]
Monthly Notices of the Royal Astronomical Society, 2018 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-area radio surveys like the Evolutionary Map of the Universe. Automated cross-
M. Alger +11 more
semanticscholar +5 more sources
The Dynamics of Radio Galaxies and Double–Double Radio Galaxies [PDF]
Journal of Astrophysics and Astronomy, 2011 11 pages, 4 figures, Diffuse Radio Plasma Conference proceedings (held in Raman Research Institute, Bangalore, India)
Konar, C. +6 more
openaire +3 more sources
The Interplay between Radio AGN Activity and Their Host Galaxies
Galaxies, 2023 Radio activity in AGN (Active Galactic Nuclei) produce feedback on the host galaxy via the impact of the relativistic jets on the circumnuclear gas. Although radio jets can reach up to several times the optical radius of the host galaxy, in this review ...
Guilherme S. Couto +1 more
doaj +1 more source
Radio Galaxy Zoo:Claran– a deep learning classifier for radio morphologies [PDF]
Monthly notices of the Royal Astronomical Society, 2018 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 through visual inspection unfeasible. We present CLARAN - Classifying Radio
Chen Wu +15 more
semanticscholar +1 more source
Discovery of a radio galaxy at z = 5.72 [PDF]
Monthly notices of the Royal Astronomical Society, 2018 We report the discovery of the most distant radio galaxy to date, TGSS1530 at a redshift of $z=5.72$ close to the presumed end of the Epoch of Reionisation.
A. Saxena +13 more
semanticscholar +1 more source
Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for Their Progenitors [PDF]
Astrophysical Journal, 2020 We present observations and detailed characterizations of five new host galaxies of fast radio bursts (FRBs) discovered with the Australian Square Kilometre Array Pathfinder (ASKAP) and localized to ≲1″.
K. Heintz +17 more
semanticscholar +1 more source
Transfer learning for radio galaxy classification [PDF]
, 2019 In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data. The question of whether these trained algorithms have cross-survey identification ability or can be adapted to develop
Hongming Tang, A. Scaife, J. Leahy
semanticscholar +1 more source
Radio Galaxy Zoo: compact and extended radio source classification with deep learning [PDF]
, 2018 Machine learning techniques have been increasingly useful in astronomical applications over the last few years, for example in the morphological classification of galaxies.
Vojislav Lukic +6 more
semanticscholar +1 more source