The Evolving Interstellar Medium of Star Forming Galaxies Since z=2 as Probed by Their Infrared Spectral Energy Distributions
Georgios E. Magdis (Oxford), E. Daddi (CEA), M. Bethermin (CEA), M., Sargent (CEA), D. Elbaz (CEA), M. Pannella (CEA), M. Dickinson (NOAO), H., Dannerbauer (Univ. Wien), E. Da Cunha (MPA), F. Walter (MPA), D. Rigopoulou, (Oxford, RAL), V.Charmandaris (Univ. Crete, IESL)

TL;DR
This study investigates the evolution of the interstellar medium in star-forming galaxies from redshift 2 to the present, revealing how gas content, star formation efficiency, and radiation field hardness change over cosmic time using infrared spectral energy distributions.
Contribution
It provides new measurements of dust and gas properties in distant galaxies, establishing how key parameters like <U> evolve with redshift and proposing a universal SED template model.
Findings
High-redshift MS galaxies have higher SFE and lower a_co compared to local galaxies.
Variations in sSFR are driven by changing gas fractions.
The radiation field hardness <U> increases with redshift, indicating warmer dust temperatures.
Abstract
Using data from the mid-infrared to millimeter wavelengths for individual galaxies and for stacked ensembles at 0.5<z<2, we derive robust estimates of dust masses (Mdust) for main sequence (MS) galaxies, which obey a tight correlation between star formation rate (SFR) and stellar mass (M*), and for star-bursting galaxies that fall outside that relation. Exploiting the correlation of gas to dust mass with metallicity (Mgas/Mdust -Z), we use our measurements to constrain the gas content, CO-to-H2 conversion factors (a_co) and star formation efficiencies (SFE) of these distant galaxies. Using large statistical samples, we confirm that a_co and SFE are an order of magnitude higher and lower, respectively, in MS galaxies at high redshifts compared to the values of local galaxies with equivalently high infrared luminosities. For galaxies within the MS, we show that the variations of specific…
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.
