Mid-infrared dust in two nearby radio galaxies, NGC 1316 (Fornax A) and NGC 612 (PKS 0131-36)
B. Duah Asabere (1, 2, 3) C. Horellou (2) T. Jarrett (4) H., Winkler (1) ((1) Department of Physics, University of Johannesburg, South, Africa (2) Department of Earth, Space Sciences, Chalmers University of, Technology, Sweden (3) Ghana Space Science, Technology Institute, Accra

TL;DR
This study characterizes the mid-infrared dust properties of two nearby radio galaxies, NGC 1316 and NGC 612, revealing differences in dust distribution, star formation rates, and PAH features through WISE and Spitzer observations.
Contribution
It provides detailed mid-IR analysis of two merger-remnant radio galaxies, highlighting their distinct dust and star formation characteristics using advanced imaging and spectral techniques.
Findings
NGC 1316 has typical early-type galaxy IR colors.
NGC 612 shows IR colors consistent with star-forming galaxies.
Star formation rate is higher in NGC 612 (~7 M_sun/yr) than in NGC 1316 (~0.7 M_sun/yr).
Abstract
Most radio galaxies are hosted by giant gas-poor ellipticals, but some contain significant amounts of dust, which is likely to be of external origin. In order to characterize the mid-IR properties of two of the most nearby and brightest merger-remnant radio galaxies of the Southern hemisphere, NGC 1316 (Fornax A) and NGC 612 (PKS 0131-36), we used observations with the Wide-field Infrared Survey Explorer (WISE) at wavelengths of 3.4, 4.6, 12 and 22 micron and Spitzer mid-infrared spectra. By applying a resolution-enhancement technique, new WISE images were produced at angular resolutions ranging from 2.6" to 5.5". Global measurements were performed in the four WISE bands, and stellar masses and star-formation rates were estimated using published scaling relations. Two methods were used to uncover the distribution of dust, one relying on two-dimensional fits to the 3.4 micron images to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
