论文标题
来自计数统计的SDSS DR7星系样品中星系组装偏差的证据
Evidence of Galaxy Assembly Bias in SDSS DR7 Galaxy Samples from Count Statistics
论文作者
论文摘要
我们介绍了关于星系 - 挂连接的观察性约束,特别是从循环中计数统计的新组合,$ p(n _ {\ rm {cic}})$的新型组合,以及投影两点相关功能的标准测量值, $ w _ {\ rm {p}}}(r _ {\ rm {p}})$和数字密度,$ n _ {\ rm {gal}} $的$。我们测量$ n _ {\ rm {gal}} $,$ w _ {\ rm {p}}(r _ {\ rm {\ rm {p}})$和$ p(n _ {\ rm {\ rm {cic}})$ for Volume-limimited,lumiminity-thersportion sys sys sests and sdss drains and sdss drains and sds sds drean sds drean sds dred7 (HOD)模型,包括一个模型,其中星系占领取决于次级光环特性,即光晕浓度。我们检测到$ m_r <-20.0 $和$ m_r <-19.5 $样本的明显正中央组装偏置。中央星系优先驻留在固定质量处高浓度的光环中。 $ m_r <-20.5 $和$ m_r <-19.0 $样本也受到了积极的中央大会偏差。我们在$ M_R <-21.0 $样本中没有发现中央集会偏见的证据。我们只观察到$ m_r <-20.0 $和$ m_r <-19.0 $样品中对负卫星组装偏置的边缘偏好,而在其他样本中则不表示非零卫星组装偏置。我们的发现强调了解释星系调查数据时考虑星系组装偏差的必要性,并证明了计数统计数据在从星系的空间分布中提取信息中的潜力,这可以应用于Galaxy-Halo连接研究和宇宙学分析。
We present observational constraints on the galaxy-halo connection, focusing particularly on galaxy assembly bias, from a novel combination of counts-in-cylinders statistics, $P(N_{\rm{CIC}})$, with the standard measurements of the projected two-point correlation function, $w_{\rm{p}}(r_{\rm{p}})$, and number density, $n_{\rm{gal}}$, of galaxies. We measure $n_{\rm{gal}}$, $w_{\rm{p}}(r_{\rm{p}})$ and $P(N_{\rm{CIC}})$ for volume-limited, luminosity-threshold samples of galaxies selected from SDSS DR7, and use them to constrain halo occupation distribution (HOD) models, including a model in which galaxy occupation depends upon a secondary halo property, namely halo concentration. We detect significant positive central assembly bias for the $M_r<-20.0$ and $M_r<-19.5$ samples. Central galaxies preferentially reside within haloes of high concentration at fixed mass. Positive central assembly bias is also favoured in the $M_r<-20.5$ and $M_r<-19.0$ samples. We find no evidence of central assembly bias in the $M_r<-21.0$ sample. We observe only a marginal preference for negative satellite assembly bias in the $M_r<-20.0$ and $M_r<-19.0$ samples, and non-zero satellite assembly bias is not indicated in other samples. Our findings underscore the necessity of accounting for galaxy assembly bias when interpreting galaxy survey data, and demonstrate the potential of count statistics in extracting information from the spatial distribution of galaxies, which could be applied to both galaxy-halo connection studies and cosmological analyses.