Nonlinear Biasing and Redshift-Space Distortions in Lagrangian Resummation Theory and N-body Simulations

Nonlinear Biasing and Redshift-Space Distortions in Lagrangian Resummation Theory and N-body Simulations
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DOI:
10.1103/physrevd.84.043501
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发表时间:
2011-05
期刊:
影响因子:
5
通讯作者:
Masanori Sato;T. Matsubara
Masanori Sato;T. Matsubara
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Masanori Sato;T. Matsubara

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了解星系偏向的行为对于未来的星系红移调查至关重要。其中一个目标是测量重子声振荡(BAO),精度为几个百分点。利用标准LCDM宇宙学的30个大型宇宙N体模拟,我们研究了大红移范围内的晕偏置。我们将模拟结果与Matsubara(2008)提出的理论预测进行了比较,后者自然地将晕偏和红移空间扭曲纳入了他们的微扰理论的形式,并通过拉格朗日图像恢复技术。由拉格朗日恢复理论(LRT)得到的晕功率谱和关联函数与BAOS尺度上的N体模拟结果符合得很好。特别是在实空间和红移空间中,准确地解释了光晕关联函数中重子声峰的非线性效应。我们发现,在实空间中k=0.35hMpc^{-1}(z=2和3)以及在红移空间中k=0.1hMpc^{-1}(z=2)和0.15hMpc^{-1}(z=3)的单圈LRT都能很好地再现偏置的非线性和尺度依赖性。因此,在即将到来的高红移BO观测中,LRT在准确提取宇宙信息方面是非常强大的。
Understanding a behavior of galaxy biasing is crucial for future galaxy redshift surveys. One aim is to measure the baryon acoustic oscillations (BAOs) within the precision of a few percent level. Using 30 large cosmological N-body simulations for a standard LCDM cosmology, we study the halo biasing over a wide redshift range. We compare the simulation results with theoretical predictions proposed by Matsubara (2008) which naturally incorporate the halo bias and redshift-space distortions into their formalism of perturbation theory with a resummation technique via the Lagrangian picture. The power spectrum and correlation function of halos obtained from Lagrangian resummation theory (LRT) well agree with N-body simulation results on scales of BAOs. Especially nonlinear effects on the baryon acoustic peak of the halo correlation function are accurately explained both in real and redshift space. We find that nonlinearity and scale dependence of bias are fairly well reproduced by 1-loop LRT up to k=0.35hMpc^{-1} (z=2 and 3) within a few percent level in real space and up to k=0.1hMpc^{-1} (z=2) and 0.15hMpc^{-1} (z=3) in redshift space. Thus, the LRT is very powerful for accurately extracting cosmological information in upcoming high redshift BAO surveys.