We present a clustering analysis of near-ultraviolet (NUV)–optical colour selected luminosity bin samples of green valley galaxies. These galaxy samples are constructed by matching the Sloan Digital Sky Survey Data Release 7 with the latest Galaxy Evolution Explorer source catalogue which provides NUV photometry. We present cross-correlation function measurements and determine the halo occupation distribution of green valley galaxies using a new multiple tracer analysis technique.\udWe extend the halo occupation formalism, which describes the relation between galaxies and halo mass in terms of the probability P(N, Mh) that a halo of given mass Mh contains N galaxies, to model the cross-correlation function between a galaxy sample of interest and multiple tracer populations simultaneously. This method can be applied to commonly used luminosity threshold samples as well as to colour and luminosity bin selected galaxy samples, and improves the accuracy of clustering analyses for sparse galaxy populations.\udWe confirm the previously observed trend that red galaxies reside in more massive haloes and are more likely to be satellite galaxies than average galaxies of similar luminosity. While the change in central galaxy host mass as a function of colour is only weakly constrained, the satellite fraction and characteristic halo masses of green satellite galaxies are found to be intermediate between those of blue and red satellite galaxies.
展开▼
机译:我们对绿色山谷星系的近紫外线(NUV)-光学颜色选择的发光度bin样本进行聚类分析。这些星系样本是通过将Sloan Digital Sky Survey Data Release 7与提供NUV光度法的最新Galaxy Evolution Explorer来源目录进行匹配而构建的。我们提供互相关函数测量结果,并使用新的多重示踪分析技术确定绿谷星系的晕职业分布。\ ud我们扩展了晕职业形式主义,用概率P(N来描述星系与晕质量之间的关系。 (Mh),则给定质量Mh的光晕包含N个星系,以同时模拟目标星系样本与多个示踪剂种群之间的互相关函数。此方法可以应用于常用的亮度阈值样本以及颜色和亮度bin选定的星系样本,并提高了稀疏星系种群的聚类分析的准确性。比具有类似亮度的普通星系更有可能是卫星星系。虽然中央银河系主质量随颜色的变化仅受到了微弱的限制,但发现绿色卫星星系的卫星比例和特征晕质量在蓝色和红色卫星星系的中间。
展开▼