论文标题
在千度调查的第四个数据发布中,红色序列星系的聚类
Clustering of red-sequence galaxies in the fourth data release ofthe Kilo-Degree Survey
论文作者
论文摘要
我们提出了一个发光的红色序列星系样本,以研究Kilo-Degree调查的第四个数据发布中的大规模结构。选定的星系由红色序列模板定义,以在红移条件为条件的颜色粘度关系的数据驱动模型的形式。在这项工作中,红色序列模板是使用宽带光学+近红外光度法和重叠的光谱数据集构建的。选择过程涉及估计红序红移,评估样品的纯度,并估算红移箱的基本红移分布。执行选择后,我们通过将光度计重量分配给星系,来减轻调查属性对观察到的星系数量密度的影响。我们在四个红移箱中测量红色星系的角度两点相关函数,并假设固定的$λ$ CDM宇宙学,并限制了我们红色序列样本的大规模偏置。我们发现两个光度阈值样品(致密和发光)的线性偏差一致。我们发现,我们的约束以被动进化模型的特征很好。
We present a sample of luminous red-sequence galaxies to study the large-scale structure in the fourth data release of the Kilo-Degree Survey. The selected galaxies are defined by a red-sequence template, in the form of a data-driven model of the colour-magnitude relation conditioned on redshift. In this work, the red-sequence template is built using the broad-band optical+near infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets. The selection process involves estimating the red-sequence redshifts, assessing the purity of the sample, and estimating the underlying redshift distributions of redshift bins. After performing the selection, we mitigate the impact of survey properties on the observed number density of galaxies by assigning photometric weights to the galaxies. We measure the angular two-point correlation function of the red galaxies in four redshift bins, and constrain the large scale bias of our red-sequence sample assuming a fixed $Λ$CDM cosmology. We find consistent linear biases for two luminosity-threshold samples (dense and luminous). We find that our constraints are well characterized by the passive evolution model.