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arXiv 2302.07255astro-ph.GAastro-ph.HEastro-ph.SR
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星系的化学-动力学演化

Chemo-Dynamical Evolution of Galaxies

Chiaki Kobayashi, Philip Taylor

AI总结:

本文综述星系化学动力学模拟如何结合流体动力学与化学增丰,以解释银河系及外部星系的元素分布观测并约束星系形成演化。

摘要:

恒星是保留了其宿主星系历史的化石。比氦重的元素在恒星内部产生,并在恒星死亡时被抛射出来。因此,根据星系中元素的空间分布,可以约束星系形成与演化过程中的物理过程。这种被称为星系考古学的方法,已借助Gaia卫星和多目标光谱仪提供的海量数据,广泛应用于我们的银河系,以理解银河系各子结构的起源。得益于积分场单元,借助James Webb空间望远镜,这一方法还可应用于从近邻到遥远宇宙中的外部星系。为了解释这些观测数据,有必要与理论预测进行比较,即星系的化学动力学模拟;这类模拟从宇宙学初始条件出发,在流体动力学模拟中纳入详细的化学增丰过程。这些模拟能够预测内部结构(例如金属丰度径向梯度)以及标度关系(例如质量-金属丰度关系)的演化。在解释相关公式和假设之后,我们将展示若干示例结果,并讨论未来前景。

英文摘要:

Stars are fossils that retain the history of their host galaxies. Elements heavier than helium are created inside stars and are ejected when they die. From the spatial distribution of elements in galaxies, it is therefore possible to constrain the physical processes during galaxy formation and evolution. This approach, Galactic archaeology, has been popularly used for our Milky Way Galaxy with a vast amount of data from Gaia satellite and multi-object spectrographs to understand the origins of sub-structures of the Milky Way. Thanks to integral field units, this approach can also be applied to external galaxies from nearby to distant universe with the James Webb Space Telescope. In order to interpret these observational data, it is necessary to compare with theoretical predictions, namely chemodynamical simulations of galaxies, which include detailed chemical enrichment into hydrodynamical simulations from cosmological initial conditions. These simulations can predict the evolution of internal structures (e.g., metallicity radial gradients) as well as that of scaling relations (e.g., the mass-metallicity relations). After explaining the formula and assumptions, we will show some example results, and discuss future prospects.

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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