Dust SEDs in Milky Way-like galaxies in the IllustrisTNG simulations based on the evolution of grain size distribution
Chiung-Yin Chang, Yu-Hsiu Huang, Hiroyuki Hirashita, Andrew P. Cooper

TL;DR
This study models the evolution of dust grain size distributions in Milky Way-like galaxies using the IllustrisTNG simulation, successfully reproducing observed dust spectral energy distributions and highlighting key factors influencing their shape.
Contribution
It introduces a comprehensive dust evolution model applied to cosmological simulations to predict dust SEDs, extending previous work by focusing on spectral energy distributions.
Findings
Simulated SEDs broadly match observed MW SEDs within dispersion.
Metallicity and dense gas fraction critically influence SED shape.
Major increase in dust SED occurs between redshifts 3 and 2.
Abstract
To understand how the evolution of grain size distribution in galaxies affects observed dust properties, we apply a post-processing dust evolution model to galaxy merger trees from the IllustrisTNG cosmological hydrodynamical simulation. Our dust model includes stellar dust production, sputtering in hot gas, dust growth by accretion and coagulation in the dense interstellar medium (ISM), and shattering in the diffuse ISM. We decompose the grain size distribution into different dust species depending on the elemental abundances and the dense ISM fraction given by the simulation. In our previous work, we focused on Milky Way (MW) analogs and reproduced the observed MW extinction curve. In this study, we compute dust spectral energy distributions (SEDs) for the MW analogues. Our simulated SEDs broadly reproduce the observed MW SED within their dispersion and so does the observational data…
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