arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2403.19337astro-ph.CO
收藏

层级宇宙网与组装偏袒

The Hierarchical Cosmic Web and Assembly Bias

J. M. Coloma-Nadal, F. -S. Kitaura, J. E. García-Farieta, F. Sinigaglia, G. Favole, D. Forero Sánchez

AI总结:

本文提出层级宇宙网分类以构建小尺度有效组装偏袒模型,可捕捉三阶非局域偏袒并保持正定展开,模拟暗晕星表在功率谱和双谱上达到高精度,适用于 DESI、EUCLID、LSST 等巡天的场级宇宙学推断。

摘要:

对星系分布进行精确建模对于利用星系红移巡天开展宇宙学分析至关重要。然而,这一工作常常受到解析承载这些星系的暗物质晕所需计算复杂度的阻碍。为应对这一挑战,我们提出发展直至小尺度的有效组装偏袒模型,即超越局部密度依赖,捕捉非局域宇宙演化。我们引入一种层级宇宙网分类,该分类可间接捕捉最高三阶的长程和短程非局域偏袒项。该分类系统还使我们能够保持正定的参数化偏袒展开。具体而言,我们将传统的基于潮汐场张量本征值的宇宙网分类,与一种基于负密度对比度赫森矩阵的附加分类相结合,从而进行细分。我们通过增广拉格朗日微扰论在网格单元边长约 $\sim3.9\\,h^{-1}$ Mpc 的网格上获得大尺度暗物质场。为评估模型的有效性,我们使用从 UNIT 项目模拟中提取的参考暗晕星表进行测试,该模拟在边长 1 $h^{-1}$ Gpc 的立方体体积内运行。通过我们的方法生成的模拟暗晕星表在一点、二点和三点统计量方面表现出很高的精度。它们在波数达到 $k\sim0.8\\,h$ Mpc$^{-1}$ 的范围内以优于 2% 的精度再现参考功率谱,并在对宇宙学分析至关重要的尺度上提供精确的双谱。这种有效偏袒方法提供了一个适用于场级宇宙学推断的前向模型,并具有促进星系红移巡天宇宙学分析的巨大潜力,特别是在 DESI、EUCLID 和 LSST 等项目背景下。

英文摘要:

Accurate modeling of galaxy distributions is paramount for cosmological analysis using galaxy redshift surveys. However, this endeavor is often hindered by the computational complexity of resolving the dark matter halos that host these galaxies. To address this challenge, we propose the development of effective assembly bias models down to small scales, i.e., going beyond the local density dependence capturing non-local cosmic evolution. We introduce a hierarchical cosmic web classification that indirectly captures up to third-order long- and short-range non-local bias terms. This classification system also enables us to maintain positive definite parametric bias expansions. Specifically, we subdivide the traditional cosmic web classification, which is based on the eigenvalues of the tidal field tensor, with an additional classification based on the Hessian matrix of the negative density contrast. We obtain the large-scale dark matter field on a mesh with $\sim3.9\,h^{-1}$ Mpc cell side resolution through Augmented Lagrangian Perturbation Theory. To assess the effectiveness of our model, we conduct tests using a reference halo catalogue extracted from the UNIT project simulation, which was run within a cubical volume of 1 $h^{-1}$ Gpc side. The resulting mock halo catalogs, generated through our approach, exhibit a high level of accuracy in terms of the one-, two- and three-point statistics. They reproduce the reference power-spectrum within better than 2 percent accuracy up to wavenumbers $k\sim0.8\,h$ Mpc$^{-1}$ and provide accurate bispectra within the scales that are crucial for cosmological analysis. This effective bias approach provides a forward model appropriate for field-level cosmological inference and holds significant potential for facilitating cosmological analysis of galaxy redshift surveys, particularly in the context of projects such as DESI, EUCLID, and LSST.

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。

↑