Toward first-principle simulations of galaxy formation: I. How should we choose star formation criteria in high-resolution simulations of disk galaxies?
Takayuki R.Saitoh (NAOJ), Hiroshi Daisaka (Hitotsubashi), Eiichiro, Kokubo (NAOJ), Junichiro Makino (NAOJ), Takashi Okamoto (Durham), Kohji, Tomisaka (NAOJ), Keiichi Wada (NAOJ), Naoki Yoshida (Nagoya) (Project, Milkyway)

TL;DR
This study uses high-resolution 3D simulations to explore how star formation criteria affect the structure of galactic disks, emphasizing the importance of threshold density for realistic modeling of the interstellar medium and star formation.
Contribution
It demonstrates that high threshold densities are essential for reproducing realistic ISM structures and that models are robust across different star formation efficiencies when using high thresholds.
Findings
High-nth models produce clumpy, multi-phase ISM structures.
Star formation histories are similar across models when calibrated to observed relations.
High-nth models are less sensitive to star formation efficiency variations.
Abstract
We performed 3-dimensional N-body/SPH simulations to study how mass resolution and other model parameters such as the star formation efficiency parameter, C* and the threshold density, nth affect structures of the galactic gaseous/stellar disk in a static galactic potential. We employ 10^6 - 10^7 particles to resolve a cold and dense (T < 100 K & n_H > 100 cm^{-3}) phase. We found that structures of the ISM and the distribution of young stars are sensitive to the assumed nth. High-nth models with nth = 100 cm^{-3} yield clumpy multi-phase features in the ISM. Young stars are distributed in a thin disk of which half-mass scale height is 10 - 30 pc. In low-nth models with nth = 0.1 cm^{-3}, the stellar disk is found to be several times thicker, and the gas disk appears smoother than the high-nth models. A high-resolution simulation with high-nth is necessary to reproduce the complex…
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.
