A selection of giant radio sources from NVSS

Proctor, D. D.

doi:10.3847/0067-0049/224/2/18

Title: A selection of giant radio sources from NVSS

Journal Article · Wed Jun 01 00:00:00 EDT 2016 · The Astrophysical Journal. Supplement Series (Online)

DOI:https://doi.org/10.3847/0067-0049/224/2/18· OSTI ID:1259774

Proctor, D. D. ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Results of the application of pattern-recognition techniques to the problem of identifying giant radio sources (GRSs) from the data in the NVSS catalog are presented, and issues affecting the process are explored. Decision-tree pattern-recognition software was applied to training-set source pairs developed from known NVSS large-angular-size radio galaxies. The full training set consisted of 51,195 source pairs, 48 of which were known GRSs for which each lobe was primarily represented by a single catalog component. The source pairs had a maximum separation of $$20^{\prime} $$ and a minimum component area of 1.87 square arcmin at the 1.4 mJy level. The importance of comparing the resulting probability distributions of the training and application sets for cases of unknown class ratio is demonstrated. The probability of correctly ranking a randomly selected (GRS, non-GRS) pair from the best of the tested classifiers was determined to be 97.8 ± 1.5%. The best classifiers were applied to the over 870,000 candidate pairs from the entire catalog. Images of higher-ranked sources were visually screened, and a table of over 1600 candidates, including morphological annotation, is presented. These systems include doubles and triples, wide-angle tail and narrow-angle tail, S- or Z-shaped systems, and core-jets and resolved cores. In conclusion, while some resolved-lobe systems are recovered with this technique, generally it is expected that such systems would require a different approach.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1259774

Report Number(s):: LLNL-JRNL-669600

Journal Information:: The Astrophysical Journal. Supplement Series (Online), Vol. 224, Issue 2; ISSN 1538-4365

Publisher:: American Astronomical Society/IOPCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 24 works

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An Updated Catalog of Giant Radio Sources Kuźmicz, Agnieszka; Jamrozy, Marek; Bronarska, Katarzyna The Astrophysical Journal Supplement Series, Vol. 238, Issue 1 https://doi.org/10.3847/1538-4365/aad9ff	journal	September 2018
Differences in Faraday Rotation between Adjacent Extragalactic Radio Sources as a Probe of Cosmic Magnetic Fields Vernstrom, T.; Gaensler, B. M.; Rudnick, L. The Astrophysical Journal, Vol. 878, Issue 2 https://doi.org/10.3847/1538-4357/ab1f83	journal	June 2019
A revised catalogue of 294 Galactic supernova remnants Green, D. A. Journal of Astrophysics and Astronomy, Vol. 40, Issue 4 https://doi.org/10.1007/s12036-019-9601-6	journal	August 2019
Discovery of a new, 2.2-Mpc giant radio galaxy at a redshift of 0.57 Sebastian, Biny; Ishwara-Chandra, C. H.; Joshi, Ravi Monthly Notices of the Royal Astronomical Society, Vol. 473, Issue 4 https://doi.org/10.1093/mnras/stx2631	journal	October 2017
The XXL Survey: XXXIV. Double Irony in XXL-North: a tale of two radio galaxies in a supercluster at Horellou, C.; Intema, H. T.; Smolčić, V. Astronomy & Astrophysics, Vol. 620 https://doi.org/10.1051/0004-6361/201832972	journal	November 2018
A revised catalogue of 294 Galactic supernova remnants Green, David Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.44182	text	January 2019
Discovery of a new, 2.2 Mpc Giant Radio Galaxy at a redshift of 0.57 Sebastian, Biny; Ishwara-Chandra, C. H.; Joshi, Ravi arXiv https://doi.org/10.48550/arxiv.1710.06182	text	January 2017

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