GAMA/H-ATLAS: The Dust Opacity - Stellar Mass Surface Density Relation for Spiral Galaxies
M.W. Grootes, R.J. Tuffs, C.C. Popescu, B. Pastrav, E. Andrae, M., Gunawardhana, L.S. Kelvin, J. Liske, M. Seibert, E.N. Taylor, A.W. Graham, M., Baes, I.K. Baldry, N. Bourne, S. Brough, A. Cooray, A. Dariush, G. De Zotti,, S.P. Driver, L. Dunne, H. Gomez, A.M. Hopkins

TL;DR
This study uncovers a strong correlation between dust opacity and stellar mass surface density in spiral galaxies, enabling improved dust attenuation corrections and insights into dust growth mechanisms in the interstellar medium.
Contribution
It introduces a new empirical relation between dust opacity and stellar mass surface density, facilitating more accurate dust attenuation corrections based solely on optical data.
Findings
Established a correlation between ^f_B and _* in spiral galaxies.
Demonstrated the relation's utility for correcting dust attenuation in optical photometry.
Derived intrinsic scaling relations linking sSFR, stellar mass, and _* with reduced scatter.
Abstract
We report the discovery of a well-defined correlation between B-band face-on central optical depth due to dust, \tau^f_B, and the stellar mass surface density, \mu_{*}, of nearby (z < 0.13) spiral galaxies: log(\tau^f_B) = 1.12(+-0.11)log(\mu_{*}/M_sol kpc^2)-8.6(+-0.8). This relation was derived from a sample of spiral galaxies taken from the Galaxy and Mass Assembly (GAMA) survey and detected in the FIR/submm in the Herschel-ATLAS survey. Using a quantitative analysis of the NUV attenuation-inclination relation for complete samples of GAMA spirals categorized according to \mu_{*} we demonstrate that this correlation can be used to statistically correct for dust attenuation purely on the basis of optical photometry and S'ersic-profile morphological fits. Considered together with previously established empirical relationships between stellar mass, metallicity and gas mass, the near…
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.
