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arXiv 2303.08752astro-ph.COastro-ph.GA
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宇宙学的暗晕模型:教学性综述

The halo model for cosmology: a pedagogical review

Marika Asgari, Alexander J. Mead, Catherine Heymans

AI总结:

本文是宇宙学暗晕模型的教学性综述,介绍其理论基础、经模拟校准的核心要素、多场景应用及配套开源软件pyhalomodel,助力未来多示踪物大尺度结构观测的连贯分析。

摘要:

我们对暗晕模型展开了教学性综述,这是一个灵活的框架,可描述常规及奇异宇宙学模型中非线性尺度上的物质分布及其示踪物。我们首先基于这样一个前提:宇宙网的复杂结构可通过其各独立组分的总和来描述,即暗物质、气体和星系,所有这些组分都分布在具有不同质量的球形暗晕内。暗晕的属性通过一系列经模拟校准的要素来确定,包括暗晕质量函数、非线性暗晕偏置,以及可额外解释重子反馈影响的暗物质密度轮廓。通过纳入星系暗晕占有分布模型,可预测中心星系和卫星星系的属性、它们的非线性偏置以及内禀排列。通过对奇异宇宙学中的球形塌缩进行解析计算,暗晕模型还能对超越ΛCDM模型的非线性成团性给出预测。暗晕模型已被广泛用于对各类大尺度结构探针的观测进行建模,尤其是作为对基础非线性物质功率谱进行建模的主要技术。通过记录这些多样且往往各不相同的应用场景,我们旨在推动未来多示踪物可观测物的连贯暗晕模型分析。本综述同步发布了pyhalomodel(一款可开展各类暗晕模型计算的灵活软件),其访问地址为https://github.com/alexander-mead/pyhalomodel。

英文摘要:

We present a pedagogical review of the halo model, a flexible framework that can describe the distribution of matter and its tracers on non-linear scales for both conventional and exotic cosmological models. We start with the premise that the complex structure of the cosmic web can be described by the sum of its individual components: dark matter, gas, and galaxies, all distributed within spherical haloes with a range of masses. The halo properties are specified through a series of simulation-calibrated ingredients including the halo mass function, non-linear halo bias and a dark matter density profile that can additionally account for the impact of baryon feedback. By incorporating a model of the galaxy halo occupation distribution, the properties of central and satellite galaxies, their non-linear bias and intrinsic alignment can be predicted. Through analytical calculations of spherical collapse in exotic cosmologies, the halo model also provides predictions for non-linear clustering in beyond-$Λ$CDM models. The halo model has been widely used to model observations of a variety of large-scale structure probes, most notably as the primary technique to model the underlying non-linear matter power spectrum. By documenting these varied and often distinct use cases, we seek to further coherent halo model analyses of future multi-tracer observables. This review is accompanied by the release of pyhalomodel: https://github.com/alexander-mead/pyhalomodel , flexible software to conduct a wide range of halo-model calculations.

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。

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