# FIRE-2 Simulations: Physics versus Numerics in Galaxy Formation

## TL;DR

FIRE-2 simulations incorporate advanced numerics and physics to study galaxy formation, showing that many galaxy properties are robust to numerical methods, with some central mass concentrations sensitive to these details.

## Contribution

This paper introduces FIRE-2, an improved simulation framework with updated numerics and physics, and systematically compares it to FIRE-1 to assess robustness of galaxy formation results.

## Key findings

- Most galaxy properties are robust to numerics if certain criteria are met.
- Central mass concentrations in massive galaxies are sensitive to numerical details.
- Multiple feedback mechanisms are crucial for realistic galaxy evolution.

## Abstract

The Feedback In Realistic Environments (FIRE) project explores feedback in cosmological galaxy formation simulations. Previous FIRE simulations used an identical source code (FIRE-1) for consistency. Motivated by the development of more accurate numerics - including hydrodynamic solvers, gravitational softening, and supernova coupling algorithms - and exploration of new physics (e.g. magnetic fields), we introduce FIRE-2, an updated numerical implementation of FIRE physics for the GIZMO code. We run a suite of simulations and compare against FIRE-1: overall, FIRE-2 improvements do not qualitatively change galaxy-scale properties. We pursue an extensive study of numerics versus physics. Details of the star-formation algorithm, cooling physics, and chemistry have weak effects, provided that we include metal-line cooling and star formation occurs at higher-than-mean densities. We present new resolution criteria for high-resolution galaxy simulations. Most galaxy-scale properties are robust to numerics we test, provided: (1) Toomre masses are resolved; (2) feedback coupling ensures conservation, and (3) individual supernovae are time-resolved. Stellar masses and profiles are most robust to resolution, followed by metal abundances and morphologies, followed by properties of winds and circum-galactic media (CGM). Central (~kpc) mass concentrations in massive (L*) galaxies are sensitive to numerics (via trapping/recycling of winds in hot halos). Multiple feedback mechanisms play key roles: supernovae regulate stellar masses/winds; stellar mass-loss fuels late star formation; radiative feedback suppresses accretion onto dwarfs and instantaneous star formation in disks. We provide all initial conditions and numerical algorithms used.