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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2950575189

A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey

About this item

Full title

A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

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

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

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