Prevention is better than cure? Feedback from high specific energy winds in cosmological simulations with Arkenstone

  • Jake S. Bennett
  • , Matthew C. Smith
  • , Drummond B. Fielding
  • , Greg L. Bryan
  • , Chang Goo Kim
  • , Volker Springel
  • , Lars Hernquist
  • , Rachel S. Somerville
  • , Laura Sommovigo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We deploy the new Arkenstone galactic wind model in cosmological simulations for the first time, allowing us to robustly resolve the evolution and impact of high specific energy winds. In a (25h-1Mpc)3 box, we perform a set of numerical experiments that systematically vary the mass and energy loadings of such winds, finding that their energy content is the key parameter controlling the stellar to dark matter mass ratio. Increasing the mass loading, at fixed energy, actually results in mildly enhanced star formation, counter to prevailing wisdom, due to the wind becoming cooler. Of the simple parametrizations that we test, we find that an energy loading that scales inversely with halo mass best matches a wide range of observations and can do so with mass loadings drastically lower than those in most previous cosmological simulations. In this scenario, much less material is ejected from the interstellar medium. Instead, winds both heat gas in the circumgalactic medium, slowing infall onto the galaxy, and also drive shocks beyond the virial radius, decreasing the halo-scale accretion rate. We can also report that a much lower fraction of the available supernova energy is needed in preventative galaxy regulation than required by ejective wind feedback models such as IllustrisTNG. This is a Learning the Universe collaboration publication.

Original languageEnglish (US)
Pages (from-to)1456-1478
Number of pages23
JournalMonthly Notices of the Royal Astronomical Society
Volume543
Issue number2
DOIs
StatePublished - Oct 1 2025

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • galaxies: evolution
  • galaxies: formation
  • hydrodynamics
  • methods: numerical

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