The Entangling of Supernova Feedback Impacts with Coarsening Simulation Resolution

It is often understood that supernova (SN) feedback in galaxies is responsible for regulating star formation (SF) and generating gaseous outflows. However, a detailed look at the small-scale effects of SNe on the interstellar medium (ISM) in simulations shows that the macroscopic processes of SF suppression and outflow generation proceed in distinct channels. We demonstrate this finding in two independent simulations of isolated dwarf galaxies with very high (m_gas ~ Msun) numerical resolution, LYRA and RIGEL. Our findings suggest that the macroscopic effect of a given SN on the galaxy is best predicted by its local density. Outflows are primarily linked to SNe in diffuse regions expanding to their cooling radii on large (~kpc) scales, while dense SF regions are disrupted in a localized (~pc) manner. However, these separate feedback channels are only distinguishable at very high resolutions capable of following mass scales ^2 . When averaging on coarser scales, ISM densities are greatly mis-estimated, and variations between different SF and SNe-affected regions are severely washed out. It therefore cannot be self-consistently determined, from coarse-resolution information alone , (1) whether a SN tends to contribute to outflows or direct SF suppression, and (2) the rate of SF in a given region. In particular, commonly used parameters in coarse-resolution (subgrid) models, such as the SN cooling radius and SF density threshold, may require more detailed treatments informed by high-resolution studies.

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Publication Details

Journal
The Open Journal of Astrophysics
Published
2026-11-11
DOI
https://doi.org/10.33232/001c.175199
Citations
4
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
3.01

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article

The Entangling of Supernova Feedback Impacts with Coarsening Simulation Resolution

Volker Springel, Mark Vogelsberger, Thales A. Gutcke, Laura V. Sales et al.
4 citations
The Open Journal of Astrophysics
Galaxies: Formation, Evolution, Phenomena
3.01
article

The Entangling of Supernova Feedback Impacts with Coarsening Simulation Resolution

Volker Springel, Mark Vogelsberger, Thales A. Gutcke, Laura V. Sales, Greg L. Bryan, Boyuan Liu, Yunwei Deng, Rüdiger Pakmor, Rahul Kannan, Federico Marinacci, Aaron C. T. Smith, Paul Torrey, Eric Zhang, Hui Li
article en
4 citations

Abstract

It is often understood that supernova (SN) feedback in galaxies is responsible for regulating star formation (SF) and generating gaseous outflows. However, a detailed look at the small-scale effects of SNe on the interstellar medium (ISM) in simulations shows that the macroscopic processes of SF suppression and outflow generation proceed in distinct channels. We demonstrate this finding in two independent simulations of isolated dwarf galaxies with very high (m_gas ~ Msun) numerical resolution, LYRA and RIGEL. Our findings suggest that the macroscopic effect of a given SN on the galaxy is best predicted by its local density. Outflows are primarily linked to SNe in diffuse regions expanding to their cooling radii on large (~kpc) scales, while dense SF regions are disrupted in a localized (~pc) manner. However, these separate feedback channels are only distinguishable at very high resolutions capable of following mass scales ^2 . When averaging on coarser scales, ISM densities are greatly mis-estimated, and variations between different SF and SNe-affected regions are severely washed out. It therefore cannot be self-consistently determined, from coarse-resolution information alone , (1) whether a SN tends to contribute to outflows or direct SF suppression, and (2) the rate of SF in a given region. In particular, commonly used parameters in coarse-resolution (subgrid) models, such as the SN cooling radius and SF density threshold, may require more detailed treatments informed by high-resolution studies.

The Open Journal of AstrophysicsVol. 9
ORCID (US)
National Science Foundation, European Commission, National Natural Science Foundation of China, Bayerische Akademie der Wissenschaften, National Institutes of Health, Leibniz-Gemeinschaft
Openalex Percentile: Top 10%
Galaxies: Formation, Evolution, Phenomena
3.01
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