论文标题
使用强度映射和星系群集对重力的模型无关测试
Model-Independent Test for Gravity using Intensity Mapping and Galaxy Clustering
论文作者
论文摘要
我们提出了一种单独从聚类中测量$ e_g $统计量的新方法。 $ e_g $统计量通过比较通过重力镜头探测的宇宙的几何形状与该几何形状中的星系运动来测试一般相对性的一致性。当前的$ e_g $估计器将星系聚类与重力镜头结合在一起，以宇宙剪切或CMB镜头测量。在本文中，我们仅使用从大规模结构的两个示踪剂获得的聚类信息来构建一个新颖的估计器：强度映射和星系群集。在此估计量中，星系的速度和重力镜头都通过对聚类的影响来测量。我们表明，使用此估计器，我们可以抑制影响其他$ e_g $估计器的污染物，从而稳健地测试一般相对论的有效性。我们预测，随着Hirax和Euclid等即将一代的调查，我们将以高达7％的精度测量$ e_g $（对于更未来派SKA2）。
We propose a novel method to measure the $E_G$ statistic from clustering alone. The $E_G$ statistic provides an elegant way of testing the consistency of General Relativity by comparing the geometry of the Universe, probed through gravitational lensing, with the motion of galaxies in that geometry. Current $E_G$ estimators combine galaxy clustering with gravitational lensing, measured either from cosmic shear or from CMB lensing. In this paper, we construct a novel estimator for $E_G$, using only clustering information obtained from two tracers of the large-scale structure: intensity mapping and galaxy clustering. In this estimator, both the velocity of galaxies and gravitational lensing are measured through their impact on clustering. We show that with this estimator, we can suppress the contaminations that affect other $E_G$ estimators and consequently test the validity of General Relativity robustly. We forecast that with the coming generation of surveys like HIRAX and Euclid, we will measure $E_G$ with a precision of up to 7% (3.9% for the more futuristic SKA2).
