2022
DOI: 10.3847/2041-8213/ac8c98
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Supernova-driven Turbulent Metal Mixing in High-redshift Galactic Disks: Metallicity Fluctuations in the Interstellar Medium and its Imprints on Metal-poor Stars in the Milky Way

Abstract: The extent to which turbulence mixes gas in the face of recurrent infusions of fresh metals by supernovae (SN) could help provide important constraints on the local star formation conditions. This includes predictions of the metallicity dispersion among metal-poor stars, which suggests that the interstellar medium was not very well mixed at these early times. The purpose of this Letter is to help isolate, via a series of numerical experiments, some of the key processes that regulate turbulent mixing of SN elem… Show more

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Cited by 4 publications
(15 citation statements)
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References 48 publications
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“…We use the hydrodynamic code RAMSES (Teyssier 2002) to simulate the evolution of gas in patches of galactic disks over timescales of hundreds of millions of years. The fundamental simulation setup is the same as that used in Martizzi et al (2016) and Kolborg et al (2022), with the inclusion of a passive scalar field in order to trace the enrichment of r-process elements. In this section, we describe the salient aspects of the models as they pertain to this project.…”
Section: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…We use the hydrodynamic code RAMSES (Teyssier 2002) to simulate the evolution of gas in patches of galactic disks over timescales of hundreds of millions of years. The fundamental simulation setup is the same as that used in Martizzi et al (2016) and Kolborg et al (2022), with the inclusion of a passive scalar field in order to trace the enrichment of r-process elements. In this section, we describe the salient aspects of the models as they pertain to this project.…”
Section: Methodsmentioning
confidence: 99%
“…In this section, we describe the salient aspects of the models as they pertain to this project. For additional details, we refer the interested reader to Martizzi et al (2016) and Kolborg et al (2022). The full suite of simulations used in this study are listed in Table 1.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations