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arXiv 2307.04523astro-ph.SRastro-ph.GA
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极贫金属恒星化学丰度分析的一维非局部热力学平衡修正

1D non-LTE corrections for chemical abundance analyses of very metal-poor stars

L. Mashonkina, Yu. Pakhomov, T. Sitnova, A. Smogorzhevskii, P. Jablonka, V. Hill

AI总结:

针对极贫金属恒星化学丰度分析,本文基于一维非局部热力学平衡(NLTE)模型,为多种元素谱线提供丰度修正网格,覆盖宽泛大气参数范围,并公开数据与插值工具,以支持星系考古研究。

摘要:

极贫金属(VMP,[Fe/H] < -2)恒星的详细化学丰度对更好地理解第一代恒星、早期恒星形成以及星系的化学增丰具有重要意义。当前正在开展以及即将开展的大型高分辨率光谱巡天提供了大量有待仔细分析的资料。对于极贫金属恒星而言,其元素丰度应基于非局部热力学平衡(non-LTE = NLTE)谱线形成机制来推导,因为大气中较低的金属丰度和低电子数密度会产生利于偏离局部热力学平衡(LTE)的物理条件。星系考古研究要求化学丰度的测定具有均一性。为此,我们给出了用于星系考古研究的Na I、Mg I、Ca I、Ca II、Ti II、Fe I、Zn I、Zn II、Sr II和Ba II谱线的一维非局部热力学平衡(1D-NLTE)丰度修正网格。大气参数范围覆盖处于不同演化阶段的极贫金属恒星,有效温度范围为4000至6500 K,表面重力范围为log g = 0.5到log g = 5.0,金属丰度范围为$-5.0 \le$ [Fe/H] $\le -2.0$。相关数据已公开,我们还提供了可在线对网格进行插值的工具。

英文摘要:

Detailed chemical abundances of very metal-poor (VMP, [Fe/H] < -2) stars are important for better understanding the First Stars, early star formation and chemical enrichment of galaxies. Big on-going and coming high-resolution spectroscopic surveys provide a wealth of material that needs to be carefully analysed. For VMP stars, their elemental abundances should be derived based on the non-local thermodynamic equilibrium (non-LTE = NLTE) line formation because low metal abundances and low electron number density in the atmosphere produce the physical conditions favorable for the departures from LTE. The galactic archaeology research requires homogeneous determinations of chemical abundances. For this purpose, we present grids of the 1D-NLTE abundance corrections for the Na I, Mg I, Ca I, Ca II, Ti II, Fe I, Zn I, Zn II, Sr II, and Ba II lines, which are used in the galactic archaeology research. The range of atmospheric parameters represents VMP stars on various evolutionary stages and covers effective temperatures from 4000 to 6500~K, surface gravities from log g = 0.5 to log g = 5.0, and metallicities $-5.0 \le$ [Fe/H] $\le -2.0$. The data is publicly available, and we provide the tools for interpolating in the grids online.

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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