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arXiv 0804.0233astro-ph
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测量重子声波振荡的最佳方法是什么?

What is the best way to measure baryonic acoustic oscillations?

Ariel G. Sanchez, Carlton M. Baugh, Raul Angulo

摘要:

重子-光子流体在重组前的振荡会在物质涨落的功率谱和关联函数上留下不同的印记。利用星系巡天测量这些特征被提议作为确定暗能量状态方程的手段。实现竞争性约束所需的精度要求对改变重子声学振荡(BAO)印记的系统效应有非常好的理解。我们使用50个非常大体积的N体模拟来研究两点关联函数中的BAO特征。即使在考虑任何动力学或统计学效应之前,BAO撞击的位置也不符合未来测量所需精度水平的声音水平标度。因此,需要对关联函数进行仔细的建模,以提取大尺度上编码的宇宙学信息。我们发现,关联函数受尺度相关效应的影响比功率谱小。我们证明了Crocce & Scoccimarro(2008)基于重正化微扰理论提出的关联函数模型给出了暗能量状态方程的基本无偏测量。这意味着除了BAO峰的形式之外,来自关联函数的大尺度形状的信息可以用于提供对宇宙学参数的鲁棒约束。因此,关联函数比使用功率谱时所需的更保守的方法(即,其需要丢弃幅度和长波长形状信息)提供了对距离尺度的更好约束(在没有系统偏差的情况下,误差小约50%)。

英文摘要:

Oscillations in the baryon-photon fluid prior to recombination imprint different signatures on the power spectrum and correlation function of matter fluctuations. The measurement of these features using galaxy surveys has been proposed as means to determine the equation of state of the dark energy. The accuracy required to achieve competitive constraints demands an extremely good understanding of systematic effects which change the baryonic acoustic oscillation (BAO) imprint. We use 50 very large volume N-body simulations to investigate the BAO signature in the two-point correlation function. The location of the BAO bump does not correspond to the sound horizon scale at the level of accuracy required by future measurements, even before any dynamical or statistical effects are considered. Careful modelling of the correlation function is therefore required to extract the cosmological information encoded on large scales. We find that the correlation function is less affected by scale dependent effects than the power spectrum. We show that a model for the correlation function proposed by Crocce & Scoccimarro (2008), based on renormalised perturbation theory, gives an essentially unbiased measurement of the dark energy equation of state. This means that information from the large scale shape of the correlation function, in addition to the form of the BAO peak, can be used to provide robust constraints on cosmological parameters. The correlation function therefore provides a better constraint on the distance scale (~50% smaller errors with no systematic bias) than the more conservative approach required when using the power spectrum (i.e. which requires amplitude and long wavelength shape information to be discarded).

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