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arXiv 0807.1113astro-ph
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基于小波的CMB功率谱估计

CMB power spectrum estimation using wavelets

G. Faÿ, F. Guilloux, M. Betoule, J. -F. Cardoso, J. Delabrouille, M. Le Jeune

摘要:

对宇宙微波背景(CMB)的观测提供了关于复合时期宇宙结构的越来越精确的信息。这些信息的大部分被编码在CMB的角功率谱中。这项工作的目的是提出一个通用的和强大的方法,可以很容易地处理非平稳性,前景和各种规格的多个实验的球面上的谱估计。在本文中,我们使用针状(小波)的球构造自然和有效的谱估计部分观测和波束CMB与非平稳噪声。在单次实验的情况下,我们将该方法与伪$C_\ell$方法进行了比较。针状谱估计器(NSE)的性能比较非常有利的最好的伪- $C_\ell$估计,在整个多极范围。在使用简单模型(CMB +具有已知每个像素方差的不相关噪声+掩模)的模拟中,它们的表现一致更好。他们独特的能力,聚合许多不同的实验,控制误差的传播,并产生一个单一的宽带误差条突出显示。针谱估计器是一个功能强大的,可调的工具,非常适合于角功率谱估计的球形数据,如不完整的和嘈杂的CMB地图。

英文摘要:

Observations of the Cosmic Microwave Background (CMB) provide increasingly accurate information about the structure of the Universe at the recombination epoch. Most of this information is encoded in the angular power spectrum of the CMB. The aim of this work is to propose a versatile and powerful method for spectral estimation on the sphere which can easily deal with non-stationarity, foregrounds and multiple experiments with various specifications. In this paper, we use needlets (wavelets) on the sphere to construct natural and efficient spectral estimators for partially observed and beamed CMB with non stationary noise. In the case of a single experiment, we compare this method with Pseudo-$C_\ell$ methods. The performance of the needlet spectral estimators (NSE) compares very favorably to the best Pseudo--$C_\ell$ estimators, over the whole multipole range. On simulations with a simple model (CMB + uncorrelated noise with known variance per pixel + mask), they perform uniformly better. Their distinctive ability to aggregate many different experiments, to control the propagation of errors and to produce a single wide-band error bars is highlighted. The needlet spectral estimator is a powerful, tunable tool which is very well suited to angular power spectrum estimation of spherical data such as incomplete and noisy CMB maps.

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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