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arXiv 1407.2186astro-ph.GA
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早型镓矿床年龄和金属丰度的基本平面模拟

Modeling the Ages and Metallicities of Early-Type Galaxies in Fundamental Plane Space

L. A. Porter, R. S. Somerville, J. R. Primack, D. J. Croton, M. D. Covington, G. J. Graves, S. M. Faber

摘要:

最近的观测通过跟踪恒星星族参数、年龄和金属丰度与进入基本面的结构参数、半径和速度色散σ之间的相关性来探测附近椭圆星系的形成历史。这些研究发现了这四个参数之间有趣的相关性。在这项工作中,我们利用一个半解析模型,从Bolshoi宇宙学模拟提取的晕合并树的基础上,预测的结构特性的球状主导星系的分析模型的基础上,已被测试和校准对一个广泛的套流体动力学+N体二进制合并模拟。我们预测的半径,西格玛,光度,年龄和金属的球状为主的星系,使我们能够直接比较观察。我们的模型预测了早期型星系的年龄和西格玛之间的强相关性,年龄和半径之间没有显着的相关性,与观测结果一致。此外,我们预测金属丰度和西格玛之间的强相关性,金属丰度和半径之间的弱相关性,与观测定性一致。我们发现,与西格玛的相关性出现作为一个结果,西格玛和星系组装时间之间的强联系。较小的合并会产生半径的较大变化,而sigma几乎相同,这解释了半径的较弱趋势。

英文摘要:

Recent observations have probed the formation histories of nearby elliptical galaxies by tracking correlations between the stellar population parameters, age and metallicity, and the structural parameters that enter the Fundamental Plane, radius and velocity dispersion sigma. These studies have found intriguing correlations between these four parameters. In this work, we make use of a semi-analytic model, based on halo merger trees extracted from the Bolshoi cosmological simulation, that predicts the structural properties of spheroid-dominated galaxies based on an analytic model that has been tested and calibrated against an extensive suite of hydrodynamic+N-body binary merger simulations. We predict the radius, sigma, luminosity, age, and metallicity of spheroid-dominated galaxies, enabling us to compare directly to observations. Our model predicts a strong correlation between age and sigma for early-type galaxies, and no significant correlation between age and radius, in agreement with observations. In addition we predict a strong correlation between metallicity and sigma, and a weak correlation between metallicity and radius, in qualitative agreement with observations. We find that the correlations with sigma arise as a result of the strong link between sigma and the galaxy assembly time. Minor mergers produce a large change in radius while leaving sigma nearly the same, which explains the weaker trends with radius.

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