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A Comparison between Nuclear Ring Star Formation in LIRGs and Normal Galaxies with the Very Large Array

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abstract

Nuclear rings are excellent laboratories for studying intense star formation. We present results from a study of nuclear star-forming rings in five nearby normal galaxies from the Star Formation in Radio Survey (SFRS) and four local LIRGs from the Great Observatories All-sky LIRG Survey (GOALS) at sub-kpc resolutions using VLA high-frequency radio continuum observations. We find that nuclear ring star formation (NRSF) contributes 49 - 60\% of the total star formation of the LIRGs, compared to 7 - 40\% for the normal galaxies. We characterize a total of 58 individual star-forming regions in these rings, and find that with measured sizes of 10 - 200 pc, NRSF regions in the LIRGs have SFR and $\Sigma_\mathrm{SFR}$ up to 1.7 M$_\odot$yr$^{-1}$ and 402 M$_\odot$yr$^{-1}$kpc$^{-2}$, respectively, which are about 10 times higher than NRSF regions in the normal galaxies with similar sizes, and comparable to lensed high-$z$ star-forming regions. At $\sim 100 - 300$ pc scales, we estimate low contributions ($< 50\%$) of thermal free-free emission to total radio continuum emission at 33 GHz in the NRSF regions in the LIRGs, but large variations possibly exist at smaller physical scales. Finally, using archival sub-kpc resolution CO (J=1-0) data of nuclear rings in the normal galaxies and NGC 7469 (LIRG), we find a large scatter in gas depletion times at similar molecular gas surface densities, which tentatively points to a multi-modal star formation relation on sub-kpc scales.

fields

astro-ph.IM 1

years

2026 1

verdicts

ACCEPT 1

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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 94 · 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.