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arXiv 1303.0835astro-ph.CO
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N体模拟中系统不确定性对来自星系团的精确宇宙学的影响:晕模型方法

The impact of systematic uncertainties in N-body simulations on the precision cosmology from galaxy clustering: a halo model approach

Hao-Yi Wu, Dragan Huterer

摘要:

暗物质N体模拟提供了一个强有力的工具来模拟星系的聚集,并帮助解释星系红移调查的结果。然而,从N体模拟预测的星系性质并不一定代表观测到的星系种群;例如,理论上的不确定性来自N体模拟中重子的缺失。在这项工作中,我们评估如何在N体模拟的不确定性影响宇宙学参数推断星系红移调查。应用晕模型框架,我们发现星系在模拟红移空间畸变时的速度偏差可能是系统偏差的主要来源。对于像BigBOSS这样的深度、广度调查,目前速度偏差的10%不确定性将k_max限制在0.14 h/Mpc。与此相反,我们发现,相关的密度分布和星系占领统计的不确定性导致相对不显著的系统偏差。因此,从观测和模拟中准确校准速度偏差的能力可能会为可用于从星系团推断宇宙学信息的最小长度尺度设定最终限制。

英文摘要:

Dark matter N-body simulations provide a powerful tool to model the clustering of galaxies and help interpret the results of galaxy redshift surveys. However, the galaxy properties predicted from N-body simulations are not necessarily representative of the observed galaxy populations; for example, theoretical uncertainties arise from the absence of baryons in N-body simulations. In this work, we assess how the uncertainties in N-body simulations impact the cosmological parameters inferred from galaxy redshift surveys. Applying the halo model framework, we find that the velocity bias of galaxies in modeling the redshift-space distortions is likely to be the predominant source of systematic bias. For a deep, wide survey like BigBOSS, current 10 per cent uncertainties in the velocity bias limit k_max to 0.14 h/Mpc. In contrast, we find that the uncertainties related to the density profiles and the galaxy occupation statistics lead to relatively insignificant systematic biases. Therefore, the ability to calibrate the velocity bias accurately -- from observations as well as simulations -- will likely set the ultimate limit on the smallest length scale that can be used to infer cosmological information from galaxy clustering.

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