Mergers, Starbursts, and Quenching in the Simba Simulation

Francisco Rodríguez Montero, Romeel Davé, Vivienne Wild, Daniel Anglés-Alcázar, Desika Narayanan
7/29/2019
astro-ph.GA

Official code: currodri/MQR_simba (3 stars, last commit 2021-02-01).

Abstract

We use the Simba cosmological galaxy formation simulation to investigate the relationship between major mergers ($\leq$ 4:1), starbursts, and galaxy quenching. Mergers are identified via sudden jumps in stellar mass $M_*$ well above that expected from in situ star formation, while quenching is defined as going from specific star formation rate sSFR$>t_{H}^{-1}$ to sSFR$<0.2t_{H}^{-1}$, where $t_{H}$ is the Hubble time. At $z\approx 0-3$, mergers show $\sim\times 2-3$ higher SFR than a mass-matched sample of star-forming galaxies, but globally represent $\leq 1\%$ of the cosmic SF budget. At low masses, the increase in SFR in mergers is mostly attributed to an increase in the $H_2$ content, but for $M_*\geq 10^{10.5} M_{\odot}$ mergers also show an elevated star formation efficiency suggesting denser gas within merging galaxies. The merger rate for star-forming galaxies shows a rapid increase with redshift $\propto (1+z)^{3.5}$, but the quenching rate evolves much more slowly, $\propto (1+z)^{0.9}$; there are insufficient mergers to explain the quenching rate at $z\leq 1.5$. Simba first quenches galaxies at $z\geq 3$, with a number density in good agreement with observations. The quenching timescales $τ_q$ are strongly bimodal, with `slow' quenchings ($τ_q \sim 0.1t_{H}$) dominating overall, but `fast' quenchings ($τ_q\sim 0.01 t_H$) dominating in $M_*\sim 10^{10}-10^{10.5}M_{\odot}$ galaxies, likely induced by Simba's jet-mode black hole feedback. The delay time distribution between mergers and quenching events suggests no physical connection to either fast or slow quenching. Hence, Simba predicts that major mergers induce starbursts, but are unrelated to quenching in either fast or slow mode.

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Code Implementations(1)

currodri/MQR_simbaOfficial100%

Codes for the finding of mergers and quenching events in SIMBA progen data

30PythonMar 23, 20195 years ago

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Cite this paper

@article{montero2019mergers,
  title  = {Mergers, Starbursts, and Quenching in the Simba Simulation},
  author = {Francisco Rodríguez Montero and Romeel Davé and Vivienne Wild and Daniel Anglés-Alcázar and Desika Narayanan},
  year   = {2019},
  eprint = {1907.12680},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1907.12680}
}

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