Identification of 4876 Bent-tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection

Abstract Bent-tail radio galaxies (BTRGs) are characterized by bent radio lobes. This unique shape is mainly caused by the movement of the galaxy within a cluster, during which the radio jets are deflected by the intracluster medium. A combined method, which involves a deep learning-based radio source finder along with visual inspection, has been utilized to search for BTRGs from the Faint Images of the Radio Sky at Twenty cm survey images. Consequently, a catalog of 4876 BTRGs has been constructed, among which 3871 are newly discovered. Based on the classification scheme of the opening angle between the two jets of the galaxy, BTRGs are typically classified as either wide-angle-tail (WAT) sources or narrow-angle-tail (NAT) sources. Our catalog comprises 4424 WATs and 652 NATs. Among these, optical counterparts are identified for 4193 BTRGs. This catalog covers luminosities in the range of 1.91 × 10 20 ≤ L 1.4 GHz ≤ 1.45 × 10 28 W Hz −1 and redshifts from z = 0.0023 to z = 3.43. Various physical properties of these BTRGs and their statistics are presented. Particularly, by the nearest neighbor method, we found that 1825 BTRGs in this catalog belong to galaxy clusters reported in literature.

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Publication Details

Journal
The Astrophysical Journal Supplement Series
Published
2025-01-16
DOI
https://doi.org/10.3847/1538-4365/ad9c6d
Citations
6
Primary Topic
Radio Astronomy Observations and Technology
Type
article
Field-Weighted Citation Impact
6.93

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article

Identification of 4876 Bent-tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection

Yun Yu, H. Andernach, Ru-Shuang Zhao, Xiaolong Yang et al.
6 citations
The Astrophysical Journal Supplement Series
Radio Astronomy Observations and Technology
6.93
article

Identification of 4876 Bent-tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection

Yun Yu, H. Andernach, Ru-Shuang Zhao, Xiaolong Yang, X. Zhang, Sheng‐Li Qin, Zhen Zhao, Baoqiang Lao, Xiaohui Sun
article en
6 citations

Abstract

Abstract Bent-tail radio galaxies (BTRGs) are characterized by bent radio lobes. This unique shape is mainly caused by the movement of the galaxy within a cluster, during which the radio jets are deflected by the intracluster medium. A combined method, which involves a deep learning-based radio source finder along with visual inspection, has been utilized to search for BTRGs from the Faint Images of the Radio Sky at Twenty cm survey images. Consequently, a catalog of 4876 BTRGs has been constructed, among which 3871 are newly discovered. Based on the classification scheme of the opening angle between the two jets of the galaxy, BTRGs are typically classified as either wide-angle-tail (WAT) sources or narrow-angle-tail (NAT) sources. Our catalog comprises 4424 WATs and 652 NATs. Among these, optical counterparts are identified for 4193 BTRGs. This catalog covers luminosities in the range of 1.91 × 10 20 ≤ L 1.4 GHz ≤ 1.45 × 10 28 W Hz −1 and redshifts from z = 0.0023 to z = 3.43. Various physical properties of these BTRGs and their statistics are presented. Particularly, by the nearest neighbor method, we found that 1825 BTRGs in this catalog belong to galaxy clusters reported in literature.

The Astrophysical Journal Supplement SeriesVol. 276(2)
Centre National de la Recherche Scientifique (FR), Universidad de Guanajuato (MX), Guizhou Normal University (CN), Yunnan University (CN), Université Paris Cité (FR), Université Paris Sciences et Lettres (FR), Shanghai Astronomical Observatory (CN), Observatoire de Paris (FR), Sorbonne Université (FR), SAIC-GM (China) (CN), Laboratoire d’études spatiales et d’instrumentation en astrophysique (FR), Thüringer Landessternwarte Tautenburg (DE)
National Science Foundation, Smithsonian Institution, U.S. Department of Energy, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, Yale University, University of California, Carnegie Institution of Washington, Vanderbilt University, University of Pennsylvania, Ohio State University, California Institute of Technology, University of Chicago, University of Michigan, University of Utah, University of Washington, Johns Hopkins University, Carnegie Mellon University, University of Notre Dame, University of Portsmouth, New Mexico State University, National Radio Astronomy Observatory, York University, University of Cambridge, University College London, University of Oxford, University of Nottingham, University of Sussex, University of Edinburgh, Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Ministério da Ciência, Tecnologia e Inovação, Financiadora de Estudos e Projetos, Universidad Nacional Autónoma de México, Max-Planck-Institut für Astrophysik, Max-Planck-Institut für Astronomie, University of Illinois at Urbana-Champaign, Office of Science, Jet Propulsion Laboratory, University of California, Los Angeles, University of Colorado Boulder, Canadian Space Agency, Science and Technology Facilities Council, Leibniz-Gemeinschaft, National Key Research and Development Program of China, Integrated Electronics Engineering Center, Binghamton University, Argonne National Laboratory, Fermilab, Lawrence Berkeley National Laboratory, SLAC National Accelerator Laboratory
Openalex Percentile: Top 4%
Radio Astronomy Observations and Technology
6.93
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