C

Jeffrey Haynes
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引用次数: 0

Abstract

We use a sample of galaxies from the Two Micron All Sky Survey Extended Source Catalog to refine a matched filter method of finding galaxy clusters that takes into account each galaxy’s position, magnitude, and redshift if available. The matched filter postulates a radial density profile, luminosity function, and line-of-sight velocity distribution for cluster galaxies. We use this method to search for clusters in the galaxy catalog, which is complete to an extinction-corrected K-band magnitude of 13.25 and has spectroscopic redshifts for roughly 40% of the galaxies, including nearly all brighter than K = 11.25. We then use a stacking analysis to determine the average luminosity function, radial distribution, and velocity distribution of cluster galaxies in several richness classes, and use the results to update the parameters of the matched filter before repeating the cluster search. We also investigate the correlations between a cluster’s richness and its velocity dispersion and core radius using these relations to refine priors that are applied during the cluster search process. After the second cluster search iteration, we repeat the stacking analysis. We find a cluster galaxy luminosity function that fits a Schechter form, with parameters MK∗ − 5 log h = −23.64 ± 0.04 and α = −1.07 ± 0.03. We can achieve a slightly better fit to our luminosity function by adding a Gaussian component on the bright end to represent the brightest cluster galaxy population. The radial number density profile of galaxies closely matches a projected Navarro–Frenk–White profile at intermediate radii, with deviations at small radii due to well-known cluster centering issues and outside the virial radius due to correlated structure. The velocity distributions are Gaussian in shape, with velocity dispersions that correlate strongly with richness.
C
我们使用两微米全天巡天扩展源目录中的星系样本来改进匹配的筛选方法,该方法考虑到每个星系的位置,星等和红移(如果可用)。匹配的滤光器假定了星系团的径向密度分布、光度函数和视距速度分布。我们使用这种方法在星系目录中搜索星团,该星团的消光校正K波段星等为13.25,大约40%的星系有光谱红移,包括几乎所有比K = 11.25亮的星系。然后,我们使用叠加分析来确定星系团星系在不同丰富度类别中的平均光度函数、径向分布和速度分布,并在重复星系团搜索之前使用结果更新匹配滤波器的参数。我们还研究了集群丰富度与其速度弥散和核心半径之间的相关性,利用这些关系来改进集群搜索过程中应用的先验。在第二次聚类搜索迭代后,我们重复堆叠分析。我们发现了一个符合Schechter形式的星团星系光度函数,其参数MK∗−5 log h =−23.64±0.04,α =−1.07±0.03。我们可以通过在亮端添加高斯分量来表示最亮的星系团星系群,从而实现稍微更好地拟合我们的光度函数。在中间半径处,星系的径向数密度分布图与预测的navarro - frank - white分布图非常匹配,在小半径处由于众所周知的星团中心问题而存在偏差,而在维里半径之外由于相关结构而存在偏差。速度分布呈高斯分布,速度色散与丰富度密切相关。
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