论文标题

具有宇宙网络环境的宇宙学ii。红移空间自动和交叉电源谱

Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra

论文作者

Bonnaire, Tony, Kuruvilla, Joseph, Aghanim, Nabila, Decelle, Aurélien

论文摘要

众所周知,宇宙学模型参数之间的变性可以大大限制物质分布中包含的信息。在本系列的第一篇论文中,我们表明宇宙网络环境。即空隙,墙壁,细丝和节点;可以用作杠杆作用,以改善一组六个宇宙学参数(包括总和中微子质量)的真实空间约束。 在这些结果之后,我们建议在红移空间中研究环境依赖性功率谱的可实现约束,其中速度通过破坏物质密度场的各向异性来将信息加入标准的两点统计。基于一组Quijote模拟的Fisher分析使我们得出结论,在几个宇宙网络环境中计算的功率光谱的组合可以打破一些变性。与仅此物质单极和四极信息相比,环境依赖性光谱的组合加剧了对关键参数(例如物质密度或总和中微子质量)的约束,最高为$ 5.5 $。此外,尽管统计数据中包含的信息在红移空间中迅速饱和,但在环境中,功率谱的组合似乎是信息的金色,可以在所有研究量表上提高约束量表从0.1美元$ $ $ $ h $ h $/mpc的限制,并建议进一步提高额定级别的尺度。

Degeneracies among parameters of the cosmological model are known to drastically limit the information contained in the matter distribution. In the first paper of this series, we shown that the cosmic web environments; namely the voids, walls, filaments and nodes; can be used as a leverage to improve the real-space constraints on a set of six cosmological parameters, including the summed neutrino mass. Following-upon these results, we propose to study the achievable constraints of environment-dependent power spectra in redshift space where the velocities add up information to the standard two-point statistics by breaking the isotropy of the matter density field. A Fisher analysis based on a set of thousands of Quijote simulations allows us to conclude that the combination of power spectra computed in the several cosmic web environments is able to break some degeneracies. Compared to the matter monopole and quadrupole information alone, the combination of environment-dependent spectra tightens down the constraints on key parameters like the matter density or the summed neutrino mass by up to a factor of $5.5$. Additionally, while the information contained in the matter statistic quickly saturates at mildly non-linear scales in redshift space, the combination of power spectra in the environments appears as a goldmine of information able to improve the constraints at all the studied scales from $0.1$ to $0.5$ $h$/Mpc and suggests that further improvements are reachable at even finer scales.

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