The Evolving Interstellar Medium of Star-Forming Galaxies, as traced by $\texttt{Stardust}$
Vasily Kokorev, Georgios Magdis, Iary Davidzon, Gabriel Brammer,, Francesco Valentino, Emanuele Daddi, Laure Ciesla, Daizhong Liu, Shuowen Jin,, Isabella Cortzen, Ivan Delvecchio, Clara Gim\'enez-Arteaga, Carlos, G\'omez-Guijarro, Mark Sargent, Sune Toft, John R. Weaver

TL;DR
This study introduces Stardust, a novel panchromatic SED fitting algorithm that accurately estimates physical parameters of star-forming galaxies across cosmic time, revealing evolution patterns of dust and star formation properties.
Contribution
We develop Stardust, a new SED fitting tool that models stellar, AGN, and dust emission without energy balance assumptions, enabling detailed analysis of galaxy dust and star formation evolution.
Findings
Dust-to-stellar mass ratio increases by a factor of 10 from z=0 to z=2.
The fraction of warm to cold dust grows with distance from the main sequence.
Dust mass functions align with predictions from Horizon-AGN and IllustrisTNG simulations.
Abstract
We analyse the far-infrared properties of 5,000 star-forming galaxies at , drawn from the deepest, super-deblended catalogues in the GOODS-N and COSMOS fields. We develop a novel panchromatic SED fitting algorithm, , that models the emission from stars, AGN, and infrared dust emission, without relying on energy balance assumptions. Our code provides robust estimates of the UV-optical and FIR physical parameters, such as the stellar mass (), dust mass (), infrared luminosities () arising from AGN and star formation activity, and the average intensity of the interstellar radiation field (). Through a set of simulations we quantify the completeness of our data in terms of , and , and subsequently characterise the distribution and evolution of these parameters…
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