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arXiv 2004.10974astro-ph.GAastro-ph.HE
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ISM的金属丰度和吸收模式对超新星反馈的影响

The Effects of Metallicity and Abundance Pattern of the ISM on Supernova Feedback

Platon I. Karpov, Davide Martizzi, Phillip Macias, Enrico Ramirez-Ruiz, Anne N. Kolborg, Jill P. Naiman

摘要:

超新星反馈在星系演化中起着至关重要的作用。虽然现代宇宙学模拟捕捉星系内的主要结构,但它们很难提供足够的分辨率来研究小尺度的恒星反馈,例如SN残余物的详细演化。因此,通常的做法是假设很少扩展到低金属丰度的亚网格模型,并且通常使用标准的太阳丰度模式。借助1-D流体动力学模拟,我们扩展这些模型,考虑低金属丰度和非太阳丰度模式来自银河系恒星的光谱。为此,开发了一个简单而有效的框架来生成非太阳丰度模式冷却函数。我们发现,以前的治疗显着过度预测SN反馈在低金属丰度,并显示不可忽略的变化,在SN残余的$\approx 50\%$在$cooling\; mass$和$\approx 27\%$在$momentum\; injection\; from\; SN\; remnants$的演变产生的非太阳丰度模式。我们使用我们的模拟来量化这些结果作为金属丰度和丰度模式变化的函数,并提出分析公式来准确地描述趋势。这些公式已被设计为宇宙流体动力学模拟中SN反馈的亚网格模型。

英文摘要:

Supernova (SN) feedback plays a vital role in the evolution of galaxies. While modern cosmological simulations capture the leading structures within galaxies, they struggle to provide sufficient resolution to study small-scale stellar feedback, such as the detailed evolution of SN remnants. It is thus common practice to assume subgrid models that are rarely extended to low metallicities, and which routinely use the standard solar abundance pattern. With the aid of 1-d hydrodynamical simulations, we extend these models to consider low metallicities and non-solar abundance patterns as derived from spectra of Milky Way stars. For that purpose, a simple, yet effective framework has been developed to generate non-solar abundance pattern cooling functions. We find that previous treatments markedly over-predict SN feedback at low metallicities and show that non-negligible changes in the evolution of SN remnants of up to $\approx 50\%$ in $cooling\; mass$ and $\approx 27\%$ in $momentum\; injection\; from\; SN\; remnants$ arise from non-solar abundance patterns. We use our simulations to quantify these results as a function of metallicity and abundance pattern variations and present analytic formulae to accurately describe the trends. These formulae have been designed to serve as subgrid models for SN feedback in cosmological hydrodynamical simulations.

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