利用暗能量巡天科学验证数据中的细胞计数测量线性和非线性星系偏差
Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data
摘要：
在星系红移巡天中，非线性偏置测量需要对潜在的系统效应进行高度控制。我们的目标是证明使用细胞计数（CiC）的可行性，星系分布的统计措施，作为一个有竞争力的方法来确定线性和高阶星系的偏见和评估聚类系统。我们通过比较星系密度分布的前四阶矩与暗物质分布的前四阶矩来测量星系偏差。我们使用MICE模拟的数据来评估这种方法的性能，随后对来自暗能量调查（DES）的公共科学验证（SV）数据进行测量。我们发现，与CiC获得的线性偏差是一致的测量进行的偏差使用星系星系集群，星系星系透镜，CMB透镜，剪切+集群测量。此外，我们使用扩展$δ_{g} = \sum_{k=0}^{3} (b_{k}/k!) δ^{k}$计算投影（2D）非线性偏差，在$3σ$水平上找到$b_2$的非零值。我们还检查了一个非局部偏差模型，并表明线性偏差测量是强大的添加新的参数。我们将我们的二维结果与三维预测进行了比较，并发现在大尺度区域（$>30$ Mpc $h^{-1}$）中的兼容性。
英文摘要：
Non-linear bias measurements require a great level of control of potential systematic effects in galaxy redshift surveys. Our goal is to demonstrate the viability of using Counts-in-Cells (CiC), a statistical measure of the galaxy distribution, as a competitive method to determine linear and higher-order galaxy bias and assess clustering systematics. We measure the galaxy bias by comparing the first four moments of the galaxy density distribution with those of the dark matter distribution. We use data from the MICE simulation to evaluate the performance of this method, and subsequently perform measurements on the public Science Verification (SV) data from the Dark Energy Survey (DES). We find that the linear bias obtained with CiC is consistent with measurements of the bias performed using galaxy-galaxy clustering, galaxy-galaxy lensing, CMB lensing, and shear+clustering measurements. Furthermore, we compute the projected (2D) non-linear bias using the expansion $δ_{g} = \sum_{k=0}^{3} (b_{k}/k!) δ^{k}$, finding a non-zero value for $b_2$ at the $3σ$ level. We also check a non-local bias model and show that the linear bias measurements are robust to the addition of new parameters. We compare our 2D results to the 3D prediction and find compatibility in the large scale regime ($>30$ Mpc $h^{-1}$)
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
