Computational issues in chemo-dynamical modelling of the formation and evolution of galaxies
Yves Revaz, Alexis Arnaudon, Matthew Nichols, Vivien Bonvin and, Pascale Jablonka

TL;DR
This paper investigates the challenges of accurately simulating chemical evolution in galaxy formation, highlighting resolution limits, stochastic supernova effects, and the importance of metal mixing schemes.
Contribution
It demonstrates the resolution threshold affecting scatter in simulations and proposes metal mixing schemes to improve accuracy in chemo-dynamical models.
Findings
Resolution below 10^3 M_sun increases scatter due to stochastic supernovae.
Metal mixing schemes reduce scatter to observed levels.
Best practices for simulating dwarf galaxies and the Milky Way are summarized.
Abstract
Chemo-dynamical N-body simulations are an essential tool for understanding the formation and evolution of galaxies. As the number of observationally determined stellar abundances continues to climb, these simulations are able to provide new constraints on the early star formaton history and chemical evolution inside both the Milky Way and Local Group dwarf galaxies. Here, we aim to reproduce the low -element scatter observed in metal-poor stars. We first demonstrate that as stellar particles inside simulations drop below a mass threshold, increases in the resolution produce an unacceptably large scatter as one particle is no longer a good approximation of an entire stellar population. This threshold occurs at around , a mass limit easily reached in current (and future) simulations. By simulating the Sextans and Fornax dwarf spheroidal galaxies we show that…
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.
