在AbacusSummit上种植莱曼α森林
Planting a Lyman alpha forest on AbacusSummit
AI总结：
本文利用AbacusSummit N体模拟生成高分辨率Lyα森林吸收线和QSO目录，并用IllustrisTNG校准FGPA方法，以支持DESI全形状Lyα分析，同时揭示了小尺度上Lyα×QSO互相关与Kaiser近似预测的差异。
摘要：
莱曼α（Lyα）森林的全形状关联通过Alcock-Paczyński效应包含了丰富的宇宙学信息。然而，如果不稳健地测试和验证用于分析这些测量的理论框架，对这些测量进行建模是具有挑战性的。在这里，我们利用N体模拟套件AbacusSummit的精度和体积来生成高分辨率的Lyα吸收线（skewers）和类星体（QSO）目录。我们模拟目录的主要目标之一是辅助暗能量光谱仪（DESI）团队计划进行的全形状Lyα分析。我们为六个基准宇宙学的基分辨率模拟（L_box = 2 h^-1 Gpc，N = 6912^3）在z = 2.5处提供了光深吸收线。我们采用基于涨落Gunn-Peterson近似（FGPA）的简单方法，从N体模拟中的物质密度构建这些吸收线，并根据从流体动力学模拟IllustrisTNG（TNG；L_box = 205 h^-1 Mpc，N = 2500^3）中提取的1D和3D Lyα功率谱对其进行校准。作为一个重要应用，我们研究了重子声学振荡（BAO）峰的非线性展宽，并展示了类DESI的QSO与我们的Lyα森林吸收线之间的互相关。我们发现，在Kaiser近似预测与我们的Lyα×QSO互相关的模拟测量之间，在小尺度上存在差异，这在即将进行的分析中将是重要的考虑因素。AbacusSummit的Lyα森林模拟目录为改进Lyα与宇宙微波背景（CMB）透镜效应以及Lyα与QSO之间的互相关建模开辟了可能性，并为3点Lyα相关函数的预测提供了可能。我们的目录和吸收线已在Globus上公开提供。
英文摘要：
The full-shape correlations of the Lyman alpha (Ly$α$) forest contain a wealth of cosmological information through the Alcock-Paczyński effect. However, these measurements are challenging to model without robustly testing and verifying the theoretical framework used for analyzing them. Here, we leverage the accuracy and volume of the $N$-body simulation suite \textsc{AbacusSummit} to generate high-resolution Ly$α$ skewers and quasi-stellar object (QSO) catalogs. One of the main goals of our mocks is to aid in the full-shape Ly$α$ analysis planned by the Dark Energy Spectroscopic Instrument (DESI) team. We provide optical depth skewers for six of the fiducial cosmology base-resolution simulations ($L_{\rm box} = 2\,h^{-1}{\rm Gpc}$, $N = 6912^3$) at $z = 2.5$. We adopt a simple recipe based on the Fluctuating Gunn-Peterson Approximation (FGPA) for constructing these skewers from the matter density in an $N$-body simulation and calibrate it against the 1D and 3D Ly$α$ power spectra extracted from the hydrodynamical simulation IllustrisTNG (TNG; $L_{\rm box} = 205\,h^{-1}{\rm Mpc}$, $N = 2500^3$). As an important application, we study the non-linear broadening of the baryon acoustic oscillation (BAO) peak and show the cross-correlation between DESI-like QSOs and our Ly$α$ forest skewers. We find differences on small scales between the Kaiser approximation prediction and our mock measurements of the Ly$α$$\times$QSO cross-correlation, which would be important to account for in upcoming analyses. The \textsc{AbacusSummit} Ly$α$ forest mocks open up the possibility for improved modelling of cross correlations between Ly$α$ and cosmic microwave background (CMB) lensing and Ly$α$ and QSOs, and for forecasts of the 3-point Ly$α$ correlation function. Our catalogues and skewers are publicly available on Globus.
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