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arXiv 1402.0751astro-ph.SRastro-ph.GA
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使MILES更好地用于恒星星族模拟

Making MILES better for stellar population modelling

A. de C. Milone, A. Sansom, A. Vazdekis, P. Sanchez-Blazquez, C. Allende Prieto, J. Falcon-Barroso, R. da Silva

摘要:

为了建立更符合实际的具有可变α增强的单颗恒星星族(SSP)模型,我们最近对MILES经验库中的752颗恒星在统一尺度下测定了[Mg/Fe],其精度约为0.1 dex。[alpha/Fe]丰度比通常被用作恒星形成的一个很好的时间尺度指标,以Mg作为α元素的模板。钙是另一种元素,其丰度目前正在调查的英里星。MILES的数据库也将扩大约20%,包括已知Teff、log g、[Fe/H]和[Mg/Fe]的恒星。它们的光球参数已转换到MILES系统中,但它们的[Mg/Fe]仍在标定中。与此同时,C、N和O的丰度也正在从图书馆恒星的文献中汇编,因为它们在光球不透明度中起着重要作用,特别是影响蓝色光谱区域。银河系的MILES星的运动学分类与编译的[Mg/Fe]已经计算,这样的信息可以考虑在SSP建模。对MILES数据的舔线强度指数的理论恒星预测的比较已经揭示了良好的行为Fe敏感指数的预测,同时突出了在一些模型的高阶H-Balmer功能的改进领域。

英文摘要:

In order to build more realistic single stellar population (SSP) models with variable alpha-enhancement, we have recently determined [Mg/Fe] in a uniform scale with a precision of about 0.1 dex for 752 stars in the MILES empirical library. The [alpha/Fe] abundance ratio is commonly used as a good temporal scale indicator of star formation, taking Mg as a template for alpha elements. Calcium is another element whose abundance is currently being investigated for the MILES stars. The MILES library is also being expanded by around 20% by including stars with known Teff, log g, [Fe/H] and [Mg/Fe]. The transformation of their photospheric parameters to the MILES system has been carried out, but the calibration of their [Mg/Fe] is still in progress. In parallel, C, N and O abundances are also being compiled from literature for the library stars because they play an important role in the photospheric opacity, particularly influencing the blue spectral region. The Galactic kinematic classification of MILES stars with compiled [Mg/Fe] has been just computed such that this information can be considered in the SSP modeling. Comparisons of theoretical stellar predictions of the Lick line-strength indices against the MILES data have revealed the good behaviour of Fe-sensitive indices predictions, while highlighting areas for improvement in some models for the higher order H-Balmer features.

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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