Bursty Star Formation in Dwarfs is Sensitive to Numerical Choices in Supernova Feedback Models
Year: 2024
Type: article
Abstract: Simulations of galaxy formation are mostly unable to resolve the energy-conserving phase of individual supernova events, having to resort to subgrid models to distribute the energy and momentum resulting from stellar feedback. However, the properties of these simulated galaxies, including the morphology, stellar mass formed, and the burstiness of the star formation history, are highly sensitive to the numerical choices adopted in these subgrid models. Using the SMUGGLE stellar feedback model, we carry out idealized simulations of an M vir ∼ 10 10 M ⊙ dwarf galaxy, a regime where most simulation codes predict significant burstiness in star formation, resulting in strong gas flows that lead to the formation of dark matter cores. We find that by varying only the directional distribution of momentum imparted from supernovae to the surrounding gas, while holding the total momentum per supernova constant, bursty star formation may be amplified or completely suppressed, and the total stellar mass formed can vary by as much as a factor of ∼3. In particular, when momentum is primarily directed perpendicular to the gas disk, less bursty and lower overall star formation rates result, yielding less gas turbulence, more disky morphologies, and a retention of cuspy dark matter density profiles. An improved understanding of the nonlinear coupling of stellar feedback into inhomogeneous gaseous media is thus needed to make robust predictions for stellar morphologies and dark matter core formation in dwarfs independent of uncertain numerical choices in the baryonic treatment.
Source: The Astrophysical Journal
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,499
Awards: G1016895160, Acquisition of a Scalable Storage Cluster for Data Intensive NIH Research, G2896626211, Research Infrastructure: MRI: Acquisition of a Big Data HPC Cluster for Interdisciplinary Research and Training, G433322167, MRI: Acquisition of a Big Data Compute Cluster for Interdisciplinary Research, G5356239126, G58316358, G5849616639, G6273510985, G6671297155, G6705988528, Collaborative Research: Discriminating Between Galactic Feedback Models with Next Generation Observations, Collaborative Research: Magellanic dwarfs as a key laboratory for dwarf galaxy formation, CAREER: Dwarf Galaxies in Clusters: their structure, globular clusters and dark matter content, G8204384535
OpenAlex ID: W4404118255
