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首页> 外文期刊>The Astrophysical journal >SPATIAL CORRELATION FUNCTIONS AND THE PAIRWISE PECULIAR VELOCITY DISPERSION OF GALAXIES IN THE POINT SOURCE CATALOG REDSHIFT SURVEY: IMPLICATIONS FOR THE GALAXY BIASING IN COLD DARK MATTER MODELS
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SPATIAL CORRELATION FUNCTIONS AND THE PAIRWISE PECULIAR VELOCITY DISPERSION OF GALAXIES IN THE POINT SOURCE CATALOG REDSHIFT SURVEY: IMPLICATIONS FOR THE GALAXY BIASING IN COLD DARK MATTER MODELS

机译:点源目录折返调查中的空间相关函数和星系的对子速度散度:对冷暗物质模型中星系偏斜的影响

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摘要

We report on the measurement of the two-point correlation function and the pairwise peculiar velocity of galaxies in the IRAS Point Source Catalog Redshift (PSCz) Survey. We compute these statistics first in redshift space and then obtain the projected functions that have simple relations to the real-space correlation functions on the basis of the method developed earlier in analyzing the Las Campanas Red-shift Survey (LCRS) by Jing, Mo, & Boerner. We find that the real space two-point correlation function can be fitted to a power law ξ(r) = (r_0/r)~γ with γ = 1.69 and r_0 = 3.70 h~(-1) Mpc. The pairwise peculiar velocity dispersion (PVD) σ_(12)(r_p) is close to 400 km s~(-1) at r_p = 3 h~(-1) Mpc and decreases to about 150 km s~(-1) at r_p ≈ 0.2 h~(-1) Mpc. These values are significantly lower than those obtained from the LCRS. In order to understand the implications of those measurements on the galaxy biasing, we construct mock samples for a low-density spatially flat cold dark matter model (Ω_0 = 0.3, λ_0 = 0.7, Γ = 0.2, σ_8 = 1) using a set of high-resolution N-body simulations in a box size of 100, 300, and 800 h~(-1) Mpc. Applying a stronger cluster underweight biasing (∝ M~(-0.25)) than for the LCRS (∝ M~(-0.08)), we are able to reproduce these observational data, except for the strong decrease of the pairwise peculiar velocity at small separations. This is qualitatively ascribed to the different morphological mixture of galaxies in the two catalogs. Disk-dominated galaxy samples drawn from the theoretically constructed GIF catalog yield results rather similar to our mock samples with the simple cluster underweight biasing. We further apply the phenomenological biasing model in our N-body mock samples, which takes account of the density-morphology relation of galaxies in clusters. The model does not reduce the velocity dispersions of galaxies to the level measured in the PSCz data either. Thus, we conclude that the PVDs of the PSCz galaxies require a biasing model that substantially reduces the PVD on small scales relative to their spatial clustering.
机译:我们在IRAS点源目录红移(PSCz)调查中报告了两点相关函数的测量和星系的成对奇特速度。我们首先在红移空间中计算这些统计数据,然后根据先前由Jing,Mo,的分析Las Campanas红移测量法(LCRS)开发的方法,获得与实空间相关函数具有简单关系的投影函数。 &Boerner。我们发现实空间两点相关函数可以拟合为幂定律ξ(r)=(r_0 / r)〜γ,其中γ= 1.69和r_0 = 3.70 h〜(-1)Mpc。成对的特殊速度色散(PVD)σ_(12)(r_p)在r_p = 3 h〜(-1)Mpc时接近400 km s〜(-1),而在r_p = 3 h〜(-1)Mpc时减小到约150 km s〜(-1) r_p≈0.2 h〜(-1)Mpc。这些值明显低于从LCRS获得的值。为了了解这些测量对银河系偏见的影响,我们使用一组模拟量为低密度空间平坦冷暗物质模型(Ω_0= 0.3,λ_0= 0.7,Γ= 0.2,σ_8= 1)的模拟样本。盒大小分别为100、300和800 h〜(-1)Mpc的高分辨率N体仿真。与LCRS(∝ M〜(-0.08))相比,应用更强的群集负重偏差(∝ M〜(-0.25)),我们可以重现这些观测数据,除了在较小的情况下成对特殊速度会大大降低分离。定性地归因于两个目录中不同形态的星系混合物。从理论上构建的GIF目录中提取的以磁盘为主导的星系样本,其结果与我们的模拟样本(具有简单的群集欠权重偏差)非常相似。我们在我们的N体模拟样本中进一步应用了现象学偏见模型,该模型考虑了星团在星系中的密度-形态关系。该模型也不会将星系的速度色散降低到PSCz数据中测得的水平。因此,我们得出的结论是,PSCz星系的PVD需要一个偏差模型,该模型相对于其空间聚类在小规模上实质上减小了PVD。

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