The THESAN-ZOOM project: Star-formation efficiencies in high-redshift galaxies
Abstract
Recent JWST observations hint at unexpectedly intense cosmic star-formation in the early Universe, often attributed to enhanced star-formation efficiencies (SFEs). Here, we analyze the SFE in THESAN-ZOOM, a novel zoom-in radiation-hydrodynamic simulation campaign of high-redshift () galaxies employing a state-of-the-art galaxy formation model resolving the multiphase interstellar medium (ISM). The halo-scale SFE () - the fraction of baryons accreted by a halo that are converted to stars - follows a double power-law dependence on halo mass, with a mild redshift evolution above . The power-law slope is roughly at large halo masses, consistent with expectations when gas outflows are momentum-driven. At lower masses, the slope is roughly and is more aligned with the energy-driven outflow scenario. is a factor of larger than commonly assumed in empirical galaxy-formation models at . On galactic (kpc) scales, the Kennicutt-Schmidt (KS) relation of neutral gas is universal in THESAN-ZOOM, following , indicative of a turbulent energy balance in the ISM maintained by stellar feedback. The rise of with halo mass can be traced primarily to increasing gas surface densities in massive galaxies, while the underlying KS relation and neutral, star-forming gas fraction remain unchanged. Although the increase in with redshift is relatively modest, it is sufficient to explain the large observed number density of UV-bright galaxies at . However, reproducing the brightest sources at may require extrapolating the SFE beyond the halo mass range directly covered by THESAN-ZOOM.
Keywords
Cite
@article{arxiv.2503.01949,
title = {The THESAN-ZOOM project: Star-formation efficiencies in high-redshift galaxies},
author = {Xuejian Shen and Rahul Kannan and Ewald Puchwein and Aaron Smith and Mark Vogelsberger and Josh Borrow and Enrico Garaldi and Laura Keating and Oliver Zier and William McClymont and Sandro Tacchella and Zihao Wang and Lars Hernquist},
journal= {arXiv preprint arXiv:2503.01949},
year = {2026}
}
Comments
17 pages, 14 figures;Comments are welcome!