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arXiv 1503.08837astro-ph.COgr-qc
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红移空间畸变的Edgeworth流模型

Edgeworth streaming model for redshift space distortions

Cora Uhlemann, Michael Kopp, Thomas Haugg

摘要:

我们推导了红移空间关联函数的Edgeworth流模型(ESM),该模型从任意分布函数出发,考虑了暗物质的两点统计量,并表明当忽略非高斯性时,它简化为高斯流模型(GSM).我们测试的准确性GSM和ESM独立的微扰理论使用地平线运行2 N体晕目录。虽然红移空间晕关联函数的修正在GSM中得到了很好的描述,但更高的多极子在ESM中包含了首阶非高斯修正后得到了改善:GSM四极子在低于30 Mpc/h的尺度上崩溃,而ESM在统计误差低至10 Mpc/h的范围内保持2%的准确度。为了预测进入流模型的尺度相关函数,我们采用基于尘埃模型和局部拉格朗日偏差的卷积拉格朗日微扰理论(CLPT)。由于暗物质晕进行的内在长度尺度给出了它们的拉格朗日半径,我们扩展CLPT的粗粒尘埃模型,并考虑两种不同的平滑方法在欧拉和拉格朗日空间,分别。欧拉空间中的粗粒化特征与灰尘不同的修改后的流体动力学,而拉格朗日空间中的粗粒化是在初始条件下进行的,随后的单流灰尘动力学,通过在截断Zel'dovich近似的精神平滑初始功率谱来实现。最后,我们比较了不同的粗粒度模型的预测流模型成分N-体测量和评论的示踪剂分布函数和平滑尺度的适当选择。由于我们考虑的微扰方法在小尺度上还不够精确,所以GSM在应用于微扰理论时是足够的。

英文摘要:

We derive the Edgeworth streaming model (ESM) for the redshift space correlation function starting from an arbitrary distribution function for biased tracers of dark matter by considering its two-point statistics and show that it reduces to the Gaussian streaming model (GSM) when neglecting non-Gaussianities. We test the accuracy of the GSM and ESM independent of perturbation theory using the Horizon Run 2 N-body halo catalog. While the monopole of the redshift space halo correlation function is well described by the GSM, higher multipoles improve upon including the leading order non-Gaussian correction in the ESM: the GSM quadrupole breaks down on scales below 30 Mpc/h whereas the ESM stays accurate to 2% within statistical errors down to 10 Mpc/h. To predict the scale dependent functions entering the streaming model we employ Convolution Lagrangian perturbation theory (CLPT) based on the dust model and local Lagrangian bias. Since dark matter halos carry an intrinsic length scale given by their Lagrangian radius, we extend CLPT to the coarse-grained dust model and consider two different smoothing approaches operating in Eulerian and Lagrangian space, respectively. The coarse-graining in Eulerian space features modified fluid dynamics different from dust while the coarse-graining in Lagrangian space is performed in the initial conditions with subsequent single streaming dust dynamics, implemented by smoothing the initial power spectrum in the spirit of the truncated Zel'dovich approximation. Finally, we compare the predictions of the different coarse-grained models for the streaming model ingredients to N-body measurements and comment on the proper choice of both the tracer distribution function and the smoothing scale. Since the perturbative methods we considered are not yet accurate enough on small scales, the GSM is sufficient when applied to perturbation theory.

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