论文标题
Ultamarine模拟：红移5.5之前的暗物质光环的性能
The Ultramarine Simulation: properties of dark matter haloes before redshift 5.5
论文作者
论文摘要
我们将Ultramarine仿真介绍，这是一个非常大的$ n $体体模拟结构形成和进化的Redshift 5.5，其中宇宙电离刚刚完成。该模拟在$ 512〜H^{ - 1} $ MPC Cube中进化了2.1万亿个颗粒，并具有空前的质量和力量分辨率，用于大量模拟，$ 5.6 \ times 10^6 H^{ - 1} $ M $ _ \ odot $ _ \ odot $ od $ $ 1.2〜H^^h^^{-1} $} $}我们介绍了模拟的一些基本统计结果，包括halo质量函数，光环偏置参数以及高红移的光环质量浓度关系，并将其与一些现有的代表性模型进行比较。我们发现与高红移光晕质量函数的某些模型有着极好的一致性，但是光环偏置因子也不是光晕质量浓度关系。所有的晕光偏置模型，用于比较过多的高层红移光晕偏置。高红移暗物质光环仍然可以通过NFW模型合理地描述，光环质量浓度关系是单调的，其浓度较低的浓度较低，这不利于某些研究报告的增长功能。与大多数现有模型预测的强烈进化相反，质量集中关系在$ z = 5.5 $至$ z = 10 $之间几乎没有演变。此外，高红移暗物质光环的浓度参数远低于大多数模型预测。
We introduce the Ultramarine simulation, an extremely large $N$-body simulation of the structure formation and evolution to redshift 5.5 at which cosmic reionization was just completed. The simulation evolves 2.1 trillion particles within a $512~h^{-1}$Mpc cube and has an unprecedented mass and force resolution for large volume simulations of this kind, $5.6\times 10^6 h^{-1}$M$_\odot$ and $1.2~h^{-1}$kpc, respectively. We present some basic statistical results of the simulation, including the halo mass function, halo bias parameter as well as halo mass-concentration relation at high redshifts, and compare them with some existing representative models. We find excellent agreement with some models on the high redshift halo mass functions, but neither the halo bias factor nor halo mass-concentration relation. All halo bias models for comparison over-predicate high redshift halo bias by large factors, an accurate fit to our simulation is given. High redshift dark matter haloes still can be reasonably described with NFW model, the halo mass-concentration relations are monotonic, with more massive haloes having lower concentration, in disfavor of the upturn feature reported by some studies. The mass concentration relation has little evolution between $z=5.5$ to $z=10$, in contrast to strong evolution predicted by most existing models. In addition, concentration parameters of high redshift dark matter haloes are much lower than most model predictions.
