Star Cluster Formation in Cosmological Simulations. II. Effects of Star Formation Efficiency and Stellar Feedback
Hui Li, Oleg Y. Gnedin, Nickolay Y. Gnedin

TL;DR
This paper investigates how star formation efficiency and stellar feedback influence galaxy and star cluster properties in cosmological simulations, refining models to better match observed cluster formation and feedback effects.
Contribution
It introduces improvements to the star formation and feedback algorithm, and explores how varying efficiency and feedback parameters affect galaxy and star cluster characteristics.
Findings
Star formation history is sensitive to feedback boost parameter $f_{boost}$.
Cluster properties are highly sensitive to star formation efficiency $\e_{ff}$.
Optimal feedback parameter $f_{boost}$ is approximately 5 for current setup.
Abstract
The implementation of star formation and stellar feedback in cosmological simulations plays a critical role in shaping galaxy properties. In the first paper of the series, we presented a new method to model star formation as a collection of star clusters. In this paper, we improve the algorithm by eliminating accretion gaps, boosting momentum feedback, and introducing a subgrid initial bound fraction, , that distinguishes cluster mass from stellar particle mass. We perform a suite of simulations with different star formation efficiency per freefall time and supernova momentum feedback intensity . We find that the star formation history of a Milky Way-sized galaxy is sensitive to , which allows us to constrain its value, , in the current simulation setup. Changing from a few percent to 200\%…
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