English

Evolution of the grain size distribution in Milky Way-like galaxies in post-processed IllustrisTNG simulations

Astrophysics of Galaxies 2020-12-09 v1

Abstract

We model dust evolution in Milky Way-like galaxies by post-processing the IllustrisTNG cosmological hydrodynamical simulations in order to predict dust-to-gas ratios and grain size distributions. We treat grain-size-dependent dust growth and destruction processes using a 64-bin discrete grain size evolution model without spatially resolving each galaxy. Our model broadly reproduces the observed dust--metallicity scaling relation in nearby galaxies. The grain size distribution is dominated by large grains at z3z\gtrsim 3 and the small-grain abundance rapidly increases by shattering and accretion (dust growth) at z2z\lesssim 2. The grain size distribution approaches the so-called MRN distribution at z1z\sim 1, but a suppression of large-grain abundances occurs at z<1z<1. Based on the computed grain size distributions and grain compositions, we also calculate the evolution of the extinction curve for each Milky Way analogue. Extinction curves are initially flat at z>2z>2, and become consistent with the Milky Way extinction curve at z1z\lesssim 1 at 1/λ<6 μm11/\lambda < 6~\rm \mu m^{-1}. However, typical extinction curves predicted by our model have a steeper slope at short wavelengths than is observed in the Milky Way. This is due to the low-redshift decline of gas-phase metallicity and the dense gas fraction in our TNG Milky Way analogues that suppresses the formation of large grains through coagulation.

Keywords

Cite

@article{arxiv.2011.13568,
  title  = {Evolution of the grain size distribution in Milky Way-like galaxies in post-processed IllustrisTNG simulations},
  author = {Yu-Hsiu Huang and Hiroyuki Hirashita and Yun-Hsin Hsu and Yen-Ting Lin and Dylan Nelson and Andrew P. Cooper},
  journal= {arXiv preprint arXiv:2011.13568},
  year   = {2020}
}

Comments

16 pages, 14 figures (13 in the main text, 1 in the appendix). Accepted for publication on MNRAS