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arXiv 1703.09712astro-ph.CO
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粒子动力学中晕的回溅半径。I. SPARTA算法

The splashback radius of halos from particle dynamics. I. The SPARTA algorithm

Benedikt Diemer

摘要:

受最近提出的将回溅半径作为暗物质晕物理边界的启发,我们提出了一个用于暗物质晕和粒子轨道分析的并行计算机程序(SPARTA)。该代码分析了所有宿主晕中所有模拟粒子的轨道,在典型的宇宙学N体模拟的情况下,有数十亿个轨道。在这个一般的框架内,我们开发了一种算法,准确地提取的位置的第一个远心点的粒子后,落入一个光环,或回溅。我们定义晕的回溅半径为单个粒子的远心半径的平滑平均值。这个定义使我们能够可靠地测量95%的主机晕以上的1000个粒子的分辨率限制的回溅半径。我们表明,平均而言,回溅半径和质量收敛到优于5%的精度,质量分辨率,快照间距,和所有的自由参数的方法。

英文摘要:

Motivated by the recent proposal of the splashback radius as a physical boundary of dark matter halos, we present a parallel computer code for Subhalo and PARticle Trajectory Analysis (SPARTA). The code analyzes the orbits of all simulation particles in all host halos, billions of orbits in the case of typical cosmological N-body simulations. Within this general framework, we develop an algorithm that accurately extracts the location of the first apocenter of particles after infall into a halo, or splashback. We define the splashback radius of a halo as the smoothed average of the apocenter radii of individual particles. This definition allows us to reliably measure the splashback radii of 95% of host halos above a resolution limit of 1000 particles. We show that, on average, the splashback radius and mass are converged to better than 5% accuracy with respect to mass resolution, snapshot spacing, and all free parameters of the method.

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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