The properties of (sub)millimetre-selected galaxies as revealed by CANDELS HST WFC3/IR imaging in GOODS-South
T. A. Targett, J. S. Dunlop, M. Cirasuolo, R. J. McLure, V. A. Bruce,, A. Fontana, A. Galametz, D. Paris, R. Dav\'e, A. Dekel, S. M. Faber, H. C., Ferguson, N. A. Grogin, J. S. Kartaltepe, D. D. Kocevski, A. M. Koekemoer, P., Kurczynski, K. Lai, J. Lotz

TL;DR
This study uses HST CANDELS WFC3/IR imaging to analyze the properties of (sub-)millimetre-selected galaxies in GOODS-South, revealing that most are massive, disk-like star-forming galaxies at redshift 1-3, with minimal signs of major interactions.
Contribution
The paper provides detailed morphological and size measurements of (sub-)mm galaxies using rest-frame optical imaging, confirming their disk-like nature and extending understanding of their structure at z~2.
Findings
Most (sub-)mm galaxies are massive, disk-like systems.
They have sizes around 4 kpc, similar to other star-forming disks at z~2.
Major galaxy interactions are rare among these sources.
Abstract
We have exploited the HST CANDELS WFC3/IR imaging to study the properties of (sub-)mm galaxies in GOODS-South. After using the deep radio and Spitzer imaging to identify galaxy counterparts for the (sub-)mm sources, we have used the new CANDELS data in two ways. First, we have derived improved photometric redshifts and stellar masses, confirming that the (sub-)mm galaxies are massive (<M*>=2.2x10^11 M_solar) galaxies at z=1-3. Second, we have exploited the depth and resolution of the WFC3/IR imaging to determine the sizes and morphologies of the galaxies at rest-frame optical wavelengths, fitting two-dimensional axi-symmetric Sersic models. Crucially, the WFC3/IR H-band imaging enables modelling of the mass-dominant galaxy, rather than the blue high-surface brightness features which often dominate optical (rest-frame UV) images of (sub-)mm galaxies, and can confuse visual morphological…
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.
