论文标题

quijote-png:原始非高斯性的模拟以及物质现场功率谱和双光谱的信息内容

Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum

论文作者

Coulton, William R, Villaescusa-Navarro, Francisco, Jamieson, Drew, Baldi, Marco, Jung, Gabriel, Karagiannis, Dionysios, Liguori, Michele, Verde, Licia, Wandelt, Benjamin D.

论文摘要

原始非高斯(PNG)是早期宇宙中最强大的探针之一,对宇宙大规模结构的测量有可能改变我们对这一领域的理解。但是,由于管理宇宙演变的非线性过程,将晚期宇宙的测量与原始扰动有关。为了帮助解决此问题,我们发布了一大套件的N体仿真,其中包含四种类型的PNG:\ textsc {quijote-png}。这些仿真旨在增强\ textsc {quijote}套件的模拟套件,该套件探讨了各种宇宙学参数对大规模结构可观察物的影响。使用这些模拟,我们研究了可以通过将功率谱和双光谱测量值扩展到$ z = 0.0 $的扰动状态,从而提取了多少有关PNG的信息。这是对PNG和宇宙学信息内容的首次联合分析,可访问非线性尺度的功率谱和双光谱测量。我们发现,约束功率可显着提高$ k_ \ mathrm {max} \大约0.3 h/{\ rm mpc} $,随着统计探针信噪比的含量降低,回报率降低了。这种饱和强调了准确建模对协方差矩阵的所有贡献的重要性。此外,我们发现将两个探针结合在一起是一种与$λ$ cdm参数中断变性的有力方法。

Primordial non-Gaussianity (PNG) is one of the most powerful probes of the early Universe and measurements of the large scale structure of the Universe have the potential to transform our understanding of this area. However relating measurements of the late time Universe to the primordial perturbations is challenging due to the non-linear processes that govern the evolution of the Universe. To help address this issue we release a large suite of N-body simulations containing four types of PNG: \textsc{quijote-png}. These simulations were designed to augment the \textsc{quijote} suite of simulations that explored the impact of various cosmological parameters on large scale structure observables. Using these simulations we investigate how much information on PNG can be extracted by extending power spectrum and bispectrum measurements beyond the perturbative regime at $z=0.0$. This is the first joint analysis of the PNG and cosmological information content accessible with power spectrum and bispectrum measurements of the non-linear scales. We find that the constraining power improves significantly up to $k_\mathrm{max}\approx 0.3 h/{\rm Mpc}$, with diminishing returns beyond as the statistical probes signal-to-noise ratios saturate. This saturation emphasizes the importance of accurately modelling all the contributions to the covariance matrix. Further we find that combining the two probes is a powerful method of breaking the degeneracies with the $Λ$CDM parameters.

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