English

Populating H$_2$ and CO in galaxy simulation with dust evolution

Astrophysics of Galaxies 2018-01-24 v1

Abstract

There are two major theoretical issues for the star formation law (the relation between the surface densities of molecular gas and star formation rate on a galaxy scale): (i) At low metallicity, it is not obvious that star-forming regions are rich in H2_2 because the H2_2 formation rate depends on the dust abundance; and (ii) whether or not CO really traces H2_2 is uncertain, especially at low metallicity. To clarify these issues, we use a hydrodynamic simulation of an isolated disc galaxy with a spatial resolution of a few tens parsecs. The evolution of dust abundance and grain size distribution is treated consistently with the metal enrichment and the physical state of the interstellar medium. We compute the H2_2 and CO abundances using a subgrid post-processing model based on the dust abundance and the dissociating radiation field calculated in the simulation. We find that when the metallicity is 0.4\lesssim 0.4 Z_\odot (t<1t<1 Gyr), H2_2 is not a good tracer of star formation rate because H2_2-rich regions are limited to dense compact regions. At Z0.8Z\gtrsim 0.8 Z_\odot, a tight star formation law is established for both H2_2 and CO. At old (t10t \sim 10 Gyr) ages, we also find that adopting the so-called MRN grain size distribution with an appropriate dust-to-metal ratio over the entire disc gives reasonable estimates for the H2_2 and CO abundances. For CO, improving the spatial resolution of the simulation is important while the H2_2 abundance is not sensitive to sub-resolution structures at Z0.4Z\gtrsim 0.4 Z_\odot.

Keywords

Cite

@article{arxiv.1711.00600,
  title  = {Populating H$_2$ and CO in galaxy simulation with dust evolution},
  author = {Li-Hsin Chen and Hiroyuki Hirashita and Kuan-Chou Hou and Shohei Aoyama and Ikkoh Shimizu and Kentaro Nagamine},
  journal= {arXiv preprint arXiv:1711.00600},
  year   = {2018}
}

Comments

21 pages, 14 figures, accepted for publication in MNRAS

R2 v1 2026-06-22T22:33:41.824Z