A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey
A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
We present an independent catalog (FRIIRGcat) of 45,241 Fanaroff-Riley Type II (FR-II) radio galaxies compiled from the Very Large Array Faint Images of the Radio Sky at Twenty-centimeters (FIRST) survey and employed the deep learning method. Among them, optical and/or infrared counterparts are identified for 41,425 FR-IIs. This catalog spans lumin...
Alternative Titles
Full title
A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2950575189
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2950575189
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2401.08048