What Does a Submillimeter Galaxy Selection Actually Select? The Dependence of Submillimeter Flux Density on Star Formation Rate and Dust Mass
Christopher C. Hayward (CfA), Du\v{s}an Kere\v{s} (Berkeley), Patrik, Jonsson (CfA), Desika Narayanan (Arizona), T. J. Cox (Carnegie), and Lars, Hernquist (CfA)

TL;DR
This study uses 3-D dust radiative transfer on galaxy simulations to explore how submillimeter flux density depends on galaxy properties, revealing differences between quiescent and starburst galaxies and implications for the nature of submillimeter galaxy populations.
Contribution
It provides a detailed analysis of the relationship between submm flux density, star formation rate, and dust mass, highlighting the heterogeneity of SMGs and the effects of galaxy interactions.
Findings
Starbursts are inefficient at boosting submm flux despite high SFR.
Submm flux density does not directly correlate with bolometric luminosity or SFR.
SMGs are a heterogeneous population, including merger-driven starbursts and galaxy pairs.
Abstract
We perform 3-D dust radiative transfer (RT) calculations on hydrodynamic simulations of isolated and merging disk galaxies in order to quantitatively study the dependence of observed-frame submillimeter (submm) flux density on galaxy properties. We find that submm flux density and star formation rate (SFR) are related in dramatically different ways for quiescently star-forming galaxies and starbursts. Because the stars formed in the merger-induced starburst do not dominate the bolometric luminosity and the rapid drop in dust mass and more compact geometry cause a sharp increase in dust temperature during the burst, starbursts are very inefficient at boosting submm flux density (e.g., a x boost in SFR yields a x boost in submm flux density). Moreover, the ratio of submm flux density to SFR differs significantly between the two modes; thus one cannot assume that the galaxies…
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.
