Large databases of metal-poor stars corrected for three-dimensional and/or non-local thermodynamic equilibrium effects

IF 5.8 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
I. Koutsouridou, Á. Skúladóttir, S. Salvadori
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Abstract

Early chemical enrichment processes can be revealed by the careful study of metal-poor stars. In our Local Group, we can obtain spectra of individual stars to measure their precise, but not always accurate, chemical abundances. Unfortunately, stellar abundances are typically estimated under the simplistic assumption of local thermodynamic equilibrium (LTE). This can systematically alter both the abundance patterns of individual stars and the global trends of chemical enrichment. The SAGA database compiles the largest catalogue of metal-poor stars in the Milky Way. For the first time, we provide the community with the SAGA catalogue fully corrected for non-LTE (NLTE) effects, using state-of-the-art publicly available grids. In addition, we present an easy-to-use online tool NLiTE that quickly provides NLTE corrections for large stellar samples. For further scientific exploration, NLiTE facilitates the comparison of different NLTE grids to investigate their intrinsic uncertainties. Finally, we compare the NLTE-SAGA catalogue with our cosmological galaxy formation and chemical evolution model, NEFERTITI. By accounting for NLTE effects, we can solve the long-standing discrepancy between models and observations in the abundance ratio of [C/Fe], which is the best tracer of the first stellar populations. At low [Fe/H] < −3.5, models are unable to reproduce the high measured [C/Fe] in LTE, which are lowered in NLTE, aligning with simulations. Other elements are a mixed bag, where some show improved agreement with the models (e.g. Na) and others appear even worse (e.g. Co). Few elemental ratios do not change significantly (e.g. [Mg/Fe], [Ca/Fe]). Properly accounting for NLTE effects is fundamental for correctly interpreting the chemical abundances of metal-poor stars. Our new NLiTE tool, thus, enables a meaningful comparison of stellar samples with chemical and stellar evolution models as well as with low-metallicity gaseous environments at higher redshift.
对三维和/或非局部热力学平衡效应进行校正的大型金属贫星数据库
早期的化学富集过程可以通过对贫金属恒星的仔细研究来揭示。在我们的本星系群中,我们可以获得单个恒星的光谱,以精确测量它们的化学丰度,但并不总是准确的。不幸的是,恒星丰度通常是在局部热力学平衡(LTE)的简单假设下估计的。这可以系统地改变单个恒星的丰度模式和化学富集的全球趋势。SAGA数据库编制了银河系中最大的贫金属恒星目录。我们第一次向社区提供了SAGA目录,完全纠正了非lte (NLTE)的影响,使用了最先进的公开网格。此外,我们还提供了一个易于使用的在线工具NLiTE,可以快速提供大型恒星样本的NLTE校正。为了进一步的科学探索,NLiTE促进了不同NLTE网格的比较,以研究其内在的不确定性。最后,我们将NLTE-SAGA星表与我们的宇宙学星系形成和化学演化模型NEFERTITI进行了比较。通过考虑NLTE效应,我们可以解决长期以来模型与观测之间在[C/Fe]丰度比上的差异,[C/Fe]是第一批恒星群的最佳示踪剂。在低[Fe/H] <−3.5时,模型无法重现LTE中高测量值[C/Fe],而NLTE中低测量值[C/Fe],与模拟结果一致。其他元素则是一个大杂烩,其中一些显示出与模型的一致性(例如Na),而另一些则表现得更差(例如Co)。少数元素比例没有显著变化(如[Mg/Fe], [Ca/Fe])。正确解释NLTE效应是正确解释贫金属恒星的化学丰度的基础。因此,我们的新NLiTE工具可以将恒星样本与化学和恒星演化模型以及高红移的低金属丰度气体环境进行有意义的比较。
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来源期刊
Astronomy & Astrophysics
Astronomy & Astrophysics 地学天文-天文与天体物理
CiteScore
10.20
自引率
27.70%
发文量
2105
审稿时长
1-2 weeks
期刊介绍: Astronomy & Astrophysics is an international Journal that publishes papers on all aspects of astronomy and astrophysics (theoretical, observational, and instrumental) independently of the techniques used to obtain the results.
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