Testing Feedback from Star Clusters in Simulations of the Milky Way Formation
Gillen Brown, Oleg Y. Gnedin

TL;DR
This paper introduces improved models for star cluster formation and feedback in galaxy simulations, analyzing their effects on cluster populations and galaxy evolution, with results aligning well with observed globular clusters.
Contribution
The study develops and tests new prescriptions for star cluster formation and feedback in cosmological simulations of Milky Way-like galaxies, highlighting their impact on cluster properties and galaxy evolution.
Findings
Higher supernova feedback momentum boost reduces star formation rates.
Star formation efficiency per freefall time affects cluster mass and age spread.
Most massive clusters form at high redshift z>4, consistent with observations.
Abstract
We present a suite of galaxy formation simulations that directly model star cluster formation and disruption. Starting from a model previously developed by our group, here we introduce several improvements to the prescriptions for cluster formation and feedback, then test these updates using a large suite of cosmological simulations of Milky Way mass galaxies. We perform a differential analysis with the goal of understanding how each of the updates affects star cluster populations. Two key parameters are the momentum boost of supernova feedback and star formation efficiency per freefall time . We find that has a strong influence on the galactic star formation rate, with higher values leading to less star formation. The efficiency does not have a significant impact on the global star formation…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
