The Entangling of Supernova Feedback Impacts with Coarsening Simulation Resolution
Year: 2026
Type: article
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.
Source: The Open Journal of Astrophysics
DOI: 10.33232/001c.175199
Institution: ORCID
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
Awards: Acquisition of a Scalable Storage Cluster for Data Intensive NIH Research, G2578892563, Research Infrastructure: MRI: Acquisition of a Big Data HPC Cluster for Interdisciplinary Research and Training, Galaxy Predictions for the Faint and Low Surface Brightness Universe, G4327767917, MRI: Acquisition of a Big Data Compute Cluster for Interdisciplinary Research, G5356239126, G5794726762, G6123861678, G6671297155, G6847678314, Collaborative Research: Magellanic dwarfs as a key laboratory for dwarf galaxy formation, G8042272544, CAREER: Dwarf Galaxies in Clusters: their structure, globular clusters and dark matter content, G8204384535
OpenAlex ID: W4415981265
