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arXiv 0804.1295astro-ph
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CMB数据分析和稀疏性

CMB data analysis and sparsity

P. Abrial, Y. Moudden, J. -L. Starck, J. Fadili, J. Delabrouille, M. K. Nguyen

摘要:

对即将到来的普朗克卫星CMB数据的统计分析将有助于对主要宇宙学参数设定更严格的界限。在此过程中,需要解决一些实际困难,特别是其他几个天体物理源发射的辐射在CMB观测的频率范围内。一些水平的剩余贡献,最显著的是在银河系区域和强射电点源的位置将不可避免地污染估计的球形CMB地图。掩盖这些区域是常见的做法,但数据中的差距需要适当处理。为了恢复部分不完整的CMB图的平稳性,从而降低间隙对非局部统计测试的影响,我们开发了一种基于数据稀疏表示的球体修复算法,以填充和插值掩蔽区域。

英文摘要:

The statistical analysis of the soon to come Planck satellite CMB data will help set tighter bounds on major cosmological parameters. On the way, a number of practical difficulties need to be tackled, notably that several other astrophysical sources emit radiation in the frequency range of CMB observations. Some level of residual contributions, most significantly in the galactic region and at the locations of strong radio point sources will unavoidably contaminate the estimated spherical CMB map. Masking out these regions is common practice but the gaps in the data need proper handling. In order to restore the stationarity of a partly incomplete CMB map and thus lower the impact of the gaps on non-local statistical tests, we developed an inpainting algorithm on the sphere based on a sparse representation of the data, to fill in and interpolate across the masked regions.

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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