A deep ALMA image of the Hubble Ultra Deep Field
J.S. Dunlop, R.J. McLure, A.D. Biggs, J.E. Geach, M.J. Michalowski,, R.J. Ivison, W. Rujopakarn, E. van Kampen, A. Kirkpatrick, A. Pope, D. Scott,, A.M. Swinbank, T.A. Targett, I. Aretxaga, J.E. Austermann, P.N. Best, V.A., Bruce, E.L. Chapin, S. Charlot, M. Cirasuolo

TL;DR
This paper presents the first deep 1.3mm ALMA imaging of the entire Hubble Ultra Deep Field, revealing key insights into high-redshift galaxy properties, star formation, and cosmic evolution.
Contribution
It provides a comprehensive, high-resolution ALMA survey of the HUDF, linking millimeter observations with multi-wavelength data to study galaxy evolution at high redshift.
Findings
Stellar mass predicts star formation rates at high redshift.
Most star formation at z~2 is dust-obscured.
Star formation rate density peaks at z~2.5.
Abstract
We present the results of the first, deep ALMA imaging covering the full 4.5 sq arcmin of the Hubble Ultra Deep Field (HUDF) as previously imaged with WFC3/IR on HST. Using a mosaic of 45 pointings, we have obtained a homogeneous 1.3mm image of the HUDF, achieving an rms sensitivity of 35 microJy, at a resolution of 0.7 arcsec. From an initial list of ~50 >3.5sigma peaks, a rigorous analysis confirms 16 sources with flux densities S(1.3) > 120 microJy. All of these have secure galaxy counterparts with robust redshifts (<z> = 2.15), and 12 are also detected at 6GHz in new deep JVLA imaging. Due to the wealth of supporting data in this unique field, the physical properties of the ALMA sources are well constrained, including their stellar masses (M*) and UV+FIR star-formation rates (SFR). Our results show that stellar mass is the best predictor of SFR in the high-z Universe; indeed at z >…
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.
Taxonomy
TopicsAstronomy and Astrophysical Research · Radio Astronomy Observations and Technology · Adaptive optics and wavefront sensing
