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Table · dataset · 2016

Identify giant radio sources from the NVSS

Listed in IVOA Registry (Virtual Observatory)

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.

Description

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 51195 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' and a minimum component area of 1.87arcmin^2^ at the 1.4mJy 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%.

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The best classifiers were applied to the over 870000 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.

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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Catalogue records · 2

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Radio
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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
IVOA Registry (Virtual Observatory)ivo://cds.vizier/j/apjs/224/1812 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].ivoa_waveband:radiosource · IVOA Registryconnector:ivoa_registry@1.0.0
concepts[modality].local:modality:imageenrichment · IVOA Registrykeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:tabularenrichment · IVOA Registrykeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · IVOA Registryconnector:ivoa_registry@1.0.0rr.resource.res_description
license_textsource · IVOA Registryconnector:ivoa_registry@1.0.0
publication_datesource · IVOA Registryconnector:ivoa_registry@1.0.0
titlesource · IVOA Registryconnector:ivoa_registry@1.0.0rr.resource.res_title
updated_datesource · IVOA Registryconnector:ivoa_registry@1.0.0