Exploring IMF Sampling Effects on Star Formation and Metallicity in Ultra-Faint Dwarf Galaxies
Myoungwon Jeon, Minsung Ko

TL;DR
This study investigates how different IMF sampling methods influence star formation and metallicity in ultra-faint dwarf galaxy simulations, revealing significant impacts on feedback, stellar mass, and chemical properties.
Contribution
It introduces and compares three IMF sampling techniques in high-resolution simulations, highlighting their effects on galaxy evolution modeling accuracy.
Findings
Stochastic IMF sampling results in 40-70% higher stellar masses than the burst model.
Individual IMF sampling produces the most continuous star formation and higher metallicities.
Choice of IMF sampling method critically affects feedback, star formation history, and chemical enrichment.
Abstract
We examine the impact of various Initial Mass Function (IMF) sampling methods on the star formation and metal enrichment histories of Ultra-Faint Dwarf (UFD) galaxy analogs. These analogs are characterized by and at , utilizing high-resolution cosmological hydrodynamic zoom-in simulations with a gas particle mass resolution of . Specifically, we evaluate three IMF sampling techniques: the burst model, stochastic IMF sampling, and individual IMF sampling. Our results demonstrate that the choice of IMF sampling method critically affects stellar feedback dynamics, particularly supernova (SN) feedback, thus impacting the star formation and metallicity characteristics of UFD analogs. We find that simulations with stochastic IMF sampling yield UFD analogs with 40\% to 70\% higher stellar masses than those using…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Scientific Research and Discoveries
