The Physical Drivers of the Luminosity-Weighted Dust Temperatures in High-Redshift Galaxies
Anne D. Burnham, Caitlin M. Casey, Jorge A. Zavala, Sinclaire M., Manning, Justin S. Spilker, Scott C. Chapman, Chian-Chou Chen, Asantha, Cooray, David B. Sanders, Nick Z. Scoville

TL;DR
This study uses high-resolution ALMA observations to investigate what physical factors influence the dust temperatures in high-redshift galaxies, finding that star-formation surface density is a key driver.
Contribution
It provides the first resolved measurements linking dust temperature to star-formation surface density in high-redshift galaxies, confirming the physical basis of this relation.
Findings
Dust temperature correlates strongly with IR luminosity and surface density.
Star-formation surface density is a more fundamental driver of dust temperature than sSFR.
The relation between dust temperature and IR surface density follows Stefan-Boltzmann law expectations.
Abstract
The underlying distribution of galaxies' dust SEDs (i.e., their spectra re-radiated by dust from rest-frame 3m-3mm) remains relatively unconstrained due to a dearth of FIR/(sub)mm data for large samples of galaxies. It has been claimed in the literature that a galaxy's dust temperature -- observed as the wavelength where the dust SED peaks () -- is traced most closely by its specific star-formation rate (sSFR) or parameterized 'distance' to the SFR-M relation (the galaxy 'main sequence'). We present 0.24" resolved 870m ALMA dust continuum observations of seven dusty star-forming galaxies (DSFGs) chosen to have a large range of well-constrained luminosity-weighted dust temperatures. We also draw on similar resolution dust continuum maps from a sample of ALESS submillimeter galaxies from Hodge et al. (2016). We constrain the physical…
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.
