论文标题

大规模星系聚类的混合基础推断:结合球形和笛卡尔傅立叶分析

Hybrid-basis inference for large-scale galaxy clustering: combining spherical and Cartesian Fourier analyses

论文作者

Wang, Mike Shengbo, Avila, Santiago, Bianchi, Davide, Crittenden, Robert, Percival, Will J.

论文摘要

与以前的调查相比,来自大型结构实验(包括暗能量光谱仪器(DESI)和欧几里得)在内的大规模结构实验的未来精度宇宙学将探测更大,更深的宇宙体积。基于傅立叶平面波基的各向异性星系聚类的笛卡尔功率谱分析提出了许多假设,包括局部平面平行近似,这些假设将不再在很大的规模上有效,并且可能会降低宇宙学的约束。我们提出了一种利用混合基础的方法:在最大的尺度上,聚类统计量分解为球形傅立叶模式,这些模式尊重调查观察结果的自然几何形状和沿视线的物理效应的自然几何形状,例如红移空间扭曲,Alcock-Paczyńskysky和Light-Cone效应;在具有更多聚类模式的较小尺度上,我们保留了快速傅立叶变换的帮助下功率谱分析的计算益处。这种方法特别适合通过依赖比例依赖的光晕偏见对本地原始非高斯$ f_ \ textrm {nl} $的可能性分析,我们通过$ n $ body模拟演示了其适用性。我们还发布了公共代码Harmonia(https://github.com/mikeswang/harmonia),以在球形傅立叶或混合基础分析中推断出星系聚类的可能性推断。

Future precision cosmology from large-scale structure experiments including the Dark Energy Spectroscopic Instrument (DESI) and Euclid will probe wider and deeper cosmic volumes than those covered by previous surveys. The Cartesian power spectrum analysis of anisotropic galaxy clustering based on the Fourier plane wave basis makes a number of assumptions, including the local plane-parallel approximation, that will no longer be valid on very large scales and may degrade cosmological constraints. We propose an approach that utilises a hybrid basis: on the largest scales, clustering statistics are decomposed into spherical Fourier modes which respect the natural geometry of both survey observations and physical effects along the line of sight, such as redshift-space distortions, the Alcock--Paczyńsky and light-cone effects; on smaller scales with far more clustering modes, we retain the computational benefit of the power spectrum analysis aided by fast Fourier transforms. This approach is particularly suited to the likelihood analysis of local primordial non-Gaussianity $f_\textrm{NL}$ through the scale-dependent halo bias, and we demonstrate its applicability with $N$-body simulations. We also release our public code Harmonia (https://github.com/MikeSWang/Harmonia) for galaxy clustering likelihood inference in spherical Fourier or hybrid-basis analyses.

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