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SIMBA-C: An updated chemical enrichment model for galactic chemical evolution in the SIMBA simulation

Authors :
Hough, Renier T.
Rennehan, Douglas
Kobayashi, Chiaki
Loubser, S. Ilani
Davé, Romeel
Babul, Arif
Cui, Weiguang
Publication Year :
2023

Abstract

We introduce a new chemical enrichment and stellar feedback model into GIZMO, using the SIMBA sub-grid models as a base. Based on the state-of-the-art chemical evolution model of Kobayashi et al., SIMBA-C tracks 34 elements from H$\rightarrow$Ge and removes SIMBA's instantaneous recycling approximation. Furthermore, we make some minor improvements to SIMBA's base feedback models. SIMBA-C provides significant improvements on key diagnostics such as the knee of the $z=0$ galaxy stellar mass function, the faint end of the main sequence, and the ability to track black holes in dwarf galaxies. SIMBA-C also matches better with recent observations of the mass-metallicity relation at $z=0,2$. By not assuming instantaneous recycling, SIMBA-C provides a much better match to galactic abundance ratio measures such as [O/Fe] and [N/O]. SIMBA-C thus opens up new avenues to constrain feedback models using detailed chemical abundance measures across cosmic time.<br />Comment: 16 Pages, 9 Figure, 1 Table, Accepted for MNRAS publication: 8 August 2023, doi:10.1093/mnras/stad2394

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2308.03436
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/stad2394