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arXiv 0906.3978astro-ph.CO
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用斯隆数字巡天数据发布6绘制大尺度结构的宇宙地图

Cosmic Cartography of the Large-Scale Structure with Sloan Digital Sky Survey Data Release 6

Francisco S. Kitaura, Jens Jasche, Cheng Li, Torsten A. Ensslin, R. Benton Metcalf, Benjamin D. Wandelt, Gerard Lemson, Simon D. M. White

摘要:

我们提出了迄今为止最大的宇宙密度场的维纳重建。重建是基于斯隆数字巡天数据发布6覆盖北银河帽。我们使用了一种新的superslip算法来抑制混叠效应和Krylov空间反演方法,使高性能与高分辨率。这些技术在实时地转海洋学阵列计算机代码中得到了实现。我们重建了一个500百万分之一的立方体与百万分之一的网格分辨率的字段,同时占角和径向选择功能的SDSS,和散粒噪声给一个有效的分辨率的顺序为~10百万分之一。此外,我们还对线性和非线性区域的红移畸变进行了近似校正。我们发现,通常使用的方法,通过相应的选择函数的星系的逆加权头过量的噪声在所观察到的星系的密度是小的区域。这是更准确和保守的,采用贝叶斯框架中,我们的模型的星系选择/检测过程是泊松二项式。这导致在采样密度降低的区域中更重的平滑。我们的研究结果显示了一个复杂的宇宙网络结构,具有巨大的空洞区域,表明恢复的物质分布是高度非高斯的。纤维状结构在~20 Mpc的尺度上清晰可见。我们还计算了用不同半径r_S的高斯核平滑重建后的密度统计分布,发现在~10 Mpc < r_S < ~30 Mpc的情况下,密度分布与对数正态分布吻合得很好。

英文摘要:

We present the largest Wiener reconstruction of the cosmic density field made to date. The reconstruction is based on the Sloan Digital Sky Survey data release 6 covering the northern Galactic cap. We use a novel supersampling algorithm to suppress aliasing effects and a Krylov-space inversion method to enable high performance with high resolution. These techniques are implemented in the ARGO computer code. We reconstruct the field over a 500 Mpc cube with Mpc grid-resolution while accounting both for the angular and radial selection functions of the SDSS, and the shot noise giving an effective resolution of the order of ~10 Mpc. In addition, we correct for the redshift distortions in the linear and nonlinear regimes in an approximate way. We show that the commonly used method of inverse weighting the galaxies by the corresponding selection function heads to excess noise in regions where the density of the observed galaxies is small. It is more accurate and conservative to adopt a Bayesian framework in which we model the galaxy selection/detection process to be Poisson-binomial. This results in heavier smoothing in regions of reduced sampling density. Our results show a complex cosmic web structure with huge void regions indicating that the recovered matter distribution is highly non-Gaussian. Filamentary structures are clearly visible on scales up to ~20 Mpc. We also calculate the statistical distribution of density after smoothing the reconstruction with Gaussian kernels of different radii r_S and find good agreement with a log-normal distribution for ~10 Mpc < r_S < ~30 Mpc.

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