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arXiv 2308.03436astro-ph.GA
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SIMBA-C:SIMBA模拟中星系化学演化的更新化学增丰模型

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

Renier T. Hough, Douglas Rennehan, Chiaki Kobayashi, S. Ilani Loubser, Romeel Davé, Arif Babul, Weiguang Cui

AI总结:

SIMBA-C在SIMBA模拟中引入追踪34种元素的化学增丰模型并移除瞬时再循环近似,显著改善星系质量函数、主序暗端、黑洞追踪及质量-金属丰度关系等诊断量,为用化学丰度约束反馈模型开辟新途径。

摘要:

我们以SIMBA亚网格模型为基础,在GIZMO中引入了一个新的化学增丰和恒星反馈模型。基于Kobayashi等人最先进的化学演化模型,SIMBA-C追踪从H到Ge的34种元素,并移除了SIMBA的瞬时再循环近似。此外,我们对SIMBA的基础反馈模型做了一些小的改进。SIMBA-C在关键诊断量上提供了显著改进,例如z=0星系恒星质量函数的拐点、主序的暗端,以及在矮星系中追踪黑洞的能力。SIMBA-C还更好地匹配了近期对z=0、2处质量-金属丰度关系的观测。由于不假设瞬时再循环,SIMBA-C对星系丰度比测量(如[O/Fe]和[N/O])提供了更好的匹配。因此,SIMBA-C开辟了利用宇宙时间尺度上详细化学丰度测量来约束反馈模型的新途径。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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