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Catching butterflies in the sky: Extended catalog of winged or X-shaped radio sources from the latest FIRST data release

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abstract

We present a catalog of 290 "winged" or X-shaped radio galaxies (XRGs) extracted from the latest (2014 December 17) data release of the "Very Large Array Faint Images of the Radio Sky at Twenty centimeter." We have combined these radio images with their counterparts in the TIFR GMRT sky survey at 150 MHz, in an attempt to identify any low surface brightness radio emission present in these sources. This has enabled us to assemble a sample of 106 "strong" XRG candidates and 184 "probable" XRG candidates whose XRG designation needs to be verified by further observations. The present sample of 290 XRG candidates is almost twice as large as the number of XRGs currently known. Twenty-five of our 290 XRG candidates (9 "strong" and 16 "probable") are identified as quasars. Double-peaked narrow emission lines are seen in the optical spectra of three of the XRG candidates (two "strong" and one "probable"). Nearly 90% of the sample is located in the FR II domain of the Owen-Ledlow diagram. A few of the strong XRG candidates have a rather flat radio spectrum (spectral index alpha flatter than -0.3) between 150 MHz and 1.4 GHz, or between 1.4 and 5 GHz. Since this is not expected for lobe-dominated extragalactic radio sources (like nearly all known XRGs), these sources are particularly suited for follow-up radio imaging and near-simultaneous measurement of the radio spectrum.

fields

astro-ph.IM 1

years

2026 1

verdicts

ACCEPT 1

representative citing papers

Source Finding and Characterisation for SKAO Science

astro-ph.IM · 2026-07-04 · accept · novelty 2.0

A review of classical and ML source-finding and morphological classification techniques for SKAO-scale continuum and spectral-line surveys, with emphasis on limitations and pipeline needs.

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  • Source Finding and Characterisation for SKAO Science astro-ph.IM · 2026-07-04 · accept · none · ref 127 · internal anchor

    A review of classical and ML source-finding and morphological classification techniques for SKAO-scale continuum and spectral-line surveys, with emphasis on limitations and pipeline needs.