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首页> 外文期刊>The Astrophysical journal >THE RICHNESS-DEPENDENT CLUSTER CORRELATION FUNCTION: EARLY SLOAN DIGITAL SKY SURVEY DATA
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THE RICHNESS-DEPENDENT CLUSTER CORRELATION FUNCTION: EARLY SLOAN DIGITAL SKY SURVEY DATA

机译:与富裕度相关的聚类相关函数:早期斯隆数字天空调查数据

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The cluster correlation function and its richness dependence are determined from 1108 clusters of galaxies―the largest sample of clusters studied so far―found in 379 deg~2 of Sloan Digital Sky Survey early data. The results are compared with previous samples of optically and X-ray-selected clusters. The richness-dependent correlation function increases monotonically from an average correlation scale of ~12 h~(-1) Mpc for poor clusters to ~25 h~(-1) Mpc for the richer, more massive clusters with a mean separation of ~90 h~(-1) Mpc. X-ray-selected clusters suggest slightly stronger correlations than optically selected clusters (~2 σ). The results are compared with large-scale cosmological simulations. The observed richness-dependent cluster correlation function is well represented by the standard flat Λ-dominated cold dark matter (LCDM) model (Ω_m approx= 0.3, h approx= 0.7) and is inconsistent with the considerably weaker correlations predicted by Ω_m = 1 models. An analytic relation for the correlation scale versus cluster mean separation, r_0-d, that best describes the observations and the LCDM prediction is r_0 approx= 2.6 d~(1/2) (for d approx= 20-90 h~(-1) Mpc). Data from the complete Sloan Digital Sky Survey, when available, will greatly enhance the accuracy of the results and allow a more precise determination of cosmological parameters.
机译:团簇相关函数及其丰富度依赖关系是从1108个星系团中确定的,这是迄今为止研究的最大的团簇样本,位于Sloan Digital Sky Survey早期数据的379度〜2中。将结果与光学和X射线选择簇的先前样本进行比较。依赖度的相关函数从较差簇的〜12 h〜(-1)Mpc的平均相关量单调增加到较富集的更大质量簇的〜25 h〜(-1)Mpc,平均间隔为〜90 h〜(-1)Mpc。 X射线选择的聚类建议比光学选择的聚类(〜2σ)强一些的相关性。将结果与大规模宇宙学模拟进行比较。观测到的与富度相关的聚类相关函数由标准的扁平Λ主导的冷暗物质(LCDM)模型很好地表示(Ω_m大约= 0.3,h大约= 0.7),并且与Ω_m= 1模型预测的相当弱的相关性不一致。 。相关标度与聚类平均间隔的解析关系r_0-d最能描述观测结果,而LCDM预测为r_0rox = 2.6 d〜(1/2)(对于d约为20-90 h〜(-1) )Mpc)。完整的Sloan数字天空调查数据(如果有)将大大提高结果的准确性,并允许更精确地确定宇宙学参数。

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