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

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 (25 $h^{-1}$ Mpc)$^3$ 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.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-08-30
DOI
https://doi.org/10.1093/mnras/staf1440
Citations
5
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
5.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Volker Springel, Greg L. Bryan, Jake S. Bennett, Drummond B. Fielding et al.
5 citations
Monthly Notices of the Royal Astronomical Society
Cosmology and Gravitation Theories
5.77
article

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

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

Abstract

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 (25 $h^{-1}$ Mpc)$^3$ 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.

Monthly Notices of the Royal Astronomical SocietyVol. 543(2)
Princeton University (US), Cornell University (US), Max Planck Institute for Astrophysics (DE), Center for Astrophysics Harvard & Smithsonian (US), Flatiron Health (United States) (US), Flatiron Institute (US), Columbia University (US)
Openalex Percentile: Top 4%
Cosmology and Gravitation Theories
5.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.