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arXiv 2102.10079astro-ph.CO
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SuperFaB:一个极好的球面傅里叶-贝塞尔分解代码

SuperFaB: a fabulous code for Spherical Fourier-Bessel decomposition

Henry S. Grasshorn Gebhardt, Olivier Doré

摘要:

球面傅里叶-贝塞尔(SFB)分解是一个自然的选择,径向/角分离,允许从大体积星系调查中提取宇宙学信息,考虑到所有的广角效应。在本文中,我们开发了一个SFB功率谱估计,允许测量最大的角和径向模式与下一代的星系调查。该代码测量伪SFB功率谱,并考虑掩模、选择函数、像素窗口和散粒噪声。我们发现,局部平均效应(或积分约束)是显着的,只有在最大规模的模式,我们提供了一个分析协方差矩阵。通过在包含调查体积的最小和最大半径处施加边界条件,估计器不会遭受过去已证明对SFB分析具有挑战性的数值不稳定性。估计证明简化,但现实的罗马式,类SPHEREx,欧几里德一样的掩模和选择功能。为了直观和验证,我们还探索了Limber近似下的SFB功率谱。我们发布了用Julia编写的相关公共代码。

英文摘要:

The spherical Fourier-Bessel (SFB) decomposition is a natural choice for the radial/angular separation that allows extraction of cosmological information from large volume galaxy surveys, taking into account all wide-angle effects. In this paper we develop a SFB power spectrum estimator that allows the measurement of the largest angular and radial modes with the next generation of galaxy surveys. The code measures the pseudo-SFB power spectrum, and takes into account mask, selection function, pixel window, and shot noise. We show that the local average effect (or integral constraint) is significant only in the largest-scale mode, and we provide an analytical covariance matrix. By imposing boundary conditions at the minimum and maximum radius encompassing the survey volume, the estimator does not suffer from the numerical instabilities that have proven challenging for SFB analyses in the past. The estimator is demonstrated on simplified but realistic Roman-like, SPHEREx-like, and Euclid-like mask and selection functions. For intuition and validation, we also explore the SFB power spectrum in the Limber approximation. We release the associated public code written in Julia.

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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