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Published November 20, 2022 | public
Journal Article

Characterizing Compact 15-33 GHz Radio Continuum Sources in Local U/LIRGs

Abstract

We present the analysis of ∼100 pc scale compact radio continuum sources detected in 63 local (ultra)luminous infrared galaxies (U/LIRGs; L_(IR) ≥ 10¹¹ L_(⊙)), using FWHM ≲ 0".1–0".2 resolution 15 and 33 GHz observations with the Karl G. Jansky Very Large Array. We identify a total of 133 compact radio sources with effective radii of 8-170 pc, which are classified into four main categories — "AGN" (active galactic nuclei), "AGN/SBnuc" (AGN-starburst composite nucleus), "SBnuc" (starburst nucleus), and "SF" (star-forming clumps) — based on ancillary data sets and the literature. We find that "AGN" and "AGN/SBnuc" more frequently occur in late-stage mergers and have up to 3 dex higher 33 GHz luminosities and surface densities compared with "SBnuc" and "SF," which may be attributed to extreme nuclear starburst and/or AGN activity in the former. Star formation rates (SFRs) and surface densities (Σ_(SFR)) are measured for "SF" and "SBnuc" using both the total 33 GHz continuum emission (SFR ∼ 0.14–13 M_⊙ yr⁻¹, Σ_(SFR) ∼ 13–1600 M_⊙ yr⁻¹ kpc⁻²) and the thermal free–free emission from H ii regions (median SFRth ∼ 0.4 M⊙ yr⁻¹, Σ_[(SFR)_(th)] ~ 44 M_⊙ yr⁻¹ kpc⁻²). These values are 1–2 dex higher than those measured for similar-sized clumps in nearby normal (non-U/LIRGs). The latter also have a much flatter median 15–33 GHz spectral index (∼−0.08) compared with "SBnuc" and "SF" (∼−0.46), which may reflect higher nonthermal contribution from supernovae and/or interstellar medium densities in local U/LIRGs that directly result from and/or lead to their extreme star-forming activities on 100 pc scales.

Additional Information

Y.S. would like to thank J. Molden and M. Perrez-Torres for sharing preliminary results on AGN identification using e-MERLIN, T. Thompson for providing helpful insights on comparisons with the TQM05 models, J. Hibbard for helpful discussions on locating galactic nuclei using ALMA data sets, and J. Rich for additional information on optical AGN classifications. Support for this work was provided by the NSF through the Grote Reber Fellowship Program administered by Associated Universities, Inc./National Radio Astronomy Observatory. A.S.E. and Y.S. were supported by NSF grant AST 1816838. A.S.E. was also supported by the Taiwan, ROC, Ministry of Science and Technology grant MoST 102-2119-M001-MY3. V.U. acknowledges funding support from NASA Astrophysics Data Analysis Program (ADAP) grant 80NSSC20K0450. H.I. acknowledges support from JSPS KAKENHI grant No. JP19K23462. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. We acknowledge the usage of the HyperLeda database (http://leda.univ-lyon1.fr), and the NASA/IPAC Infrared Science Archive, which is funded by the National Aeronautics and Space Administration and operated by the California Institute of Technology. This research made use of APLpy, an open-source plotting package for Python (Robitaille & Bressert 2012; Robitaille 2019).

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023