Three-dimensional genus statistics of galaxies in the SDSS early data release

被引:43
作者
Hikage, C [1 ]
Suto, Y
Kayo, I
Taruya, A
Matsubara, T
Vogeley, MS
Hoyle, F
Gott, JR
Brinkmann, J
机构
[1] Univ Tokyo, Dept Phys, Sch Sci, Bunkyo Ku, Tokyo 1130033, Japan
[2] Nagoya Univ, Dept Phys & Astrophys, Chikusa Ku, Nagoya, Aichi 1618602, Japan
[3] Drexel Univ, Dept Phys, Philadelphia, PA 19104 USA
[4] Princeton Univ Observ, Princeton, NJ 08544 USA
[5] Apache Point Observ, Sunspot, NM 88349 USA
基金
美国国家科学基金会;
关键词
cosmology : large-scale structure of universe; cosmology : observations; galaxies : statistics; methods : data analysis;
D O I
10.1093/pasj/54.5.707
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present the first analysis of three-dimensional genus statistics for the SDSS EDR galaxy sample. Due to the complicated survey volume and the selection function, analytic predictions of the genus statistics for this sample are not feasible; therefore, we construct extensive mock catalogs from N-body simulations in order to compare the observed data with model predictions. This comparison allows us to evaluate the effects of a variety of observational systematics on the estimated genus for the SDSS sample, including the shape of the survey volume, the redshift distortion effect, and the radial selection function due to the magnitude limit. The observed genus for the SDSS EDR galaxy sample is consistent with that predicted by simulations of a A-dominated spatially-flat cold dark matter model. Standard (Omega(0) = 1) cold dark matter model predictions do not match the observations. We discuss how future SDSS galaxy samples will yield improved estimates of the genus.
引用
收藏
页码:707 / 717
页数:11
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