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arXiv 2108.02801astro-ph.CO
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Rubin天文台和CMB-S4透镜层析术对暗能量约束的物理起源

The Physical Origin of Dark Energy Constraints from Rubin Observatory and CMB-S4 Lensing Tomography

Byeonghee Yu, Simone Ferraro, Z Robert Knight, Lloyd Knox, Blake D. Sherwin

摘要:

我们试图澄清的起源约束的暗能量状态方程参数的CMB透镜层析,即结合星系团簇和星系的互相关与CMB透镜在一些红移箱。特别地,我们考虑了两点关联函数,它可以由星系位置表和来自Vera C的光度红移构成。Rubin Observatory Legacy Survey of Space and Time(LSST)和CMB Lensing Map来自CMB-S4实验。我们专注于分析理解的约束的起源。这些数据中的暗能量信息来自于三个主要关系的影响:距离作为红移的函数(几何),功率谱的振幅作为红移的函数(增长),以及功率谱作为波数的函数(形状)。我们发现,几何形状和生长的影响起着重要的作用,部分相互抵消,而形状的影响是不重要的。我们还表明,暗能量任务组(DETF)的品质因数(FoM)的预测相结合的LSST星系和CMB-S4透镜的预测宇宙剪切的情况下的CMB透镜图,从而提供了一个重要的独立检查。与单独使用LSST星系的预测相比,结合CMB透镜和LSST聚类信息(连同主CMB光谱),在系统性完全受控的乐观情况下,FoM大约增加了3-4倍。我们警告说,实现这些预测可能需要对高阶偏置,光度红移不确定性进行全面分析,并严格控制其他系统限制,这些都超出了这项工作的范围,其主要目的是阐明约束的物理起源。

英文摘要:

We seek to clarify the origin of constraints on the dark energy equation of state parameter from CMB lensing tomography, that is the combination of galaxy clustering and the cross-correlation of galaxies with CMB lensing in a number of redshift bins. In particular, we consider the two-point correlation functions which can be formed with a catalog of galaxy locations and photometric redshifts from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) and CMB lensing maps from the CMB-S4 experiment. We focus on the analytic understanding of the origin of the constraints. Dark energy information in these data arises from the influence of three primary relationships: distance as a function of redshift (geometry), the amplitude of the power spectrum as a function of redshift (growth), and the power spectrum as a function of wavenumber (shape). We find that the effects from geometry and growth play a significant role and partially cancel each other out, while the shape effect is unimportant. We also show that Dark Energy Task Force (DETF) Figure of Merit (FoM) forecasts from the combination of LSST galaxies and CMB-S4 lensing are comparable to the forecasts from cosmic shear in the absence of the CMB lensing map, thus providing an important independent check. Compared to the forecasts with the LSST galaxies alone, combining CMB lensing and LSST clustering information (together with the primary CMB spectra) increases the FoM by roughly a factor of 3-4 in the optimistic scenario where systematics are fully under control. We caution that achieving these forecasts will likely require a full analysis of higher-order biasing, photometric redshift uncertainties, and stringent control of other systematic limitations, which are outside the scope of this work, whose primary purpose is to elucidate the physical origin of the constraints.

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