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arXiv 1409.1124astro-ph.CO
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EZmocks:扩展Zel'dovich近似以生成具有精确聚类统计的模拟星系目录

EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

Chia-Hsun Chuang, Francisco-Shu Kitaura, Francisco Prada, Cheng Zhao, Gustavo Yepes

摘要:

我们提出了一种新的方法来产生模拟晕或星系目录,它具有准确的聚类特性,几乎无法区分从完整的$N$体的解决方案,在一点,两点,三点的统计。特别是,协议是显着的,在$1\%$高达$k=0.55$ $h$ Mpc $^{-1}$和$r=10$ $h^{-1}$ Mpc,分别为功率谱和两点关联函数,而双谱一般同意在$20\%$内不同的尺度和形状。我们的方法是基于Zel'dovich近似,然而,有效地包括与简单的处方丢失的物理成分,随机尺度依赖,非本地和非线性偏置的贡献。产生一个模拟所需的计算时间和内存与使用对数正态模型相似。有效的Zel'dovich近似模型(EZmocks)具有高精度和高效率,为分析大尺度结构测量提供了一种可靠而实用的大质量模拟星系星表生成方法。

英文摘要:

We present a new methodology to generate mock halo or galaxy catalogues, which have accurate clustering properties, nearly indistinguishable from full $N$-body solutions, in terms of the one-point, two-point, and three-point statistics. In particular, the agreement is remarkable, within $1\%$ up to $k=0.55$ $h$Mpc$^{-1}$ and down to $r=10$ $h^{-1}$Mpc, for the power spectrum and two-point correlation function respectively, while the bispectrum agrees in general within $20\%$ for different scales and shapes. Our approach is based on the Zel'dovich approximation, however, effectively including with the simple prescriptions the missing physical ingredients, and stochastic scale-dependent, non-local and nonlinear biasing contributions. The computing time and memory required to produce one mock is similar to that using the log-normal model. With high accuracy and efficiency, the effective Zel'dovich approximation mocks (EZmocks) provide a reliable and practical method to produce massive mock galaxy catalogues for the analysis of large-scale structure measurements.

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