English

THESAN-HR: How does reionization impact early galaxy evolution?

Astrophysics of Galaxies 2023-08-21 v2 Cosmology and Nongalactic Astrophysics

Abstract

Early galaxies were the radiation source for reionization, with the photoheating feedback from the reionization process expected to reduce the efficiency of star formation in low mass haloes. Hence, to fully understand reionization and galaxy formation, we must study their impact on each other. The THESAN project has so far aimed to study the impact of galaxy formation physics on reionization, but here we present the new THESAN simulations with a factor 50 higher resolution (mb104m_{\rm b} \approx 10^4~M_\odot) that aim to self-consistently study the back-reaction of reionization on galaxies. By resolving haloes with virial temperatures Tvir<104T_{\rm vir} < 10^4~K, we are able to demonstrate that simplistic, spatially-uniform, reionization models are not sufficient to study early galaxy evolution. Comparing the self-consistent THESAN model (employing fully coupled radiation hydrodynamics) to a uniform UV background, we are able to show that galaxies in THESAN are predicted to be larger in physical extent (by a factor 2\sim 2), less metal enriched (by 0.2\sim 0.2~dex), and less abundant (by a factor 10\sim 10 at M1500 = 10M_{\rm 1500}~=~-10) by z=5z=5. We show that differences in star formation and enrichment patterns lead to significantly different predictions for star formation in low mass haloes, low-metallicity star formation, and even the occupation fraction of haloes. We posit that cosmological galaxy formation simulations aiming to study early galaxy formation z3z \gtrsim 3 must employ a spatially inhomogeneous UV background to accurately reproduce galaxy properties.

Keywords

Cite

@article{arxiv.2212.03255,
  title  = {THESAN-HR: How does reionization impact early galaxy evolution?},
  author = {Josh Borrow and Rahul Kannan and Enrico Garaldi and Aaron Smith and Mark Vogelsberger and Rüdiger Pakmor and Volker Springel and Lars Hernquist},
  journal= {arXiv preprint arXiv:2212.03255},
  year   = {2023}
}

Comments

Accepted for publication in MNRAS

R2 v1 2026-06-28T07:24:05.602Z