通过增加n体合并树实现星系形成模型的收敛

Andrew J Benson, Chris Cannella, Shaun Cole
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引用次数: 3

摘要

在一个分层的冷暗物质宇宙中,星系形成的精确建模需要使用足够高分辨率的合并树来获得预测星系属性的收敛性。当将半解析星系形成模型应用于宇宙学n体模拟合并树时,通常存在这些树的分辨率不足以给出收敛星系性质的情况。本文提出了一种通过在具有较高分辨率的蒙特卡罗合并树分支上进行嫁接来提高n体合并树分辨率的方法,该方法与n体合并树中已有的分支相一致。我们表明,这种方法导致了星系性质的收敛。
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Achieving convergence in galaxy formation models by augmenting N-body merger trees

Accurate modeling of galaxy formation in a hierarchical, cold dark matter universe requires the use of sufficiently high-resolution merger trees to obtain convergence in the predicted properties of galaxies. When semi-analytic galaxy formation models are applied to cosmological N-body simulation merger trees, it is often the case that those trees have insufficient resolution to give converged galaxy properties. We demonstrate a method to augment the resolution of N-body merger trees by grafting in branches of Monte Carlo merger trees with higher resolution, but which are consistent with the pre-existing branches in the N-body tree. We show that this approach leads to converged galaxy properties.

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期刊介绍: Computational Astrophysics and Cosmology (CompAC) is now closed and no longer accepting submissions. However, we would like to assure you that Springer will maintain an archive of all articles published in CompAC, ensuring their accessibility through SpringerLink's comprehensive search functionality.
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