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arXiv 0811.4277astro-ph
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调和域中分离CMB和银河系前景的“内部线性组合”方法

"Internal Linear Combination" method for the separation of CMB from Galactic foregrounds in the harmonic domain

R. Vio, P. Andreani

摘要:

前景污染是宇宙微波背景(CMB)信号的基本障碍,前景污染的分离是宇宙学中的一个基本问题。用于从CMB信号中分离前景的最流行的算法之一是“内部线性组合”方法(ILC)。在其原始版本中,这种技术直接应用于观察到的地图。然而,在最近的文献中,有人建议,在谐波(傅立叶)域中,可以获得更好的结果,因为可以尝试分离,其中各种傅立叶频率被赋予不同的权重。这在噪声数据的情况下被视为有用的特征。在这里,我们认为使用这种方法的好处被高估了。如果采用经典的方法,即在进行分离之前对数据进行过滤,则可以获得更好的结果。

英文摘要:

Foreground contamination is the fundamental hindrance to the cosmic microwave background (CMB) signals and its separation from it represents a fundamental question in Cosmology. One of the most popular algorithm used to disentangle foregrounds from the CMB signals is the "internal linear combination" method (ILC). In its original version, this technique is applied directly to the observed maps. In recent literature, however, it is suggested that in the harmonic (Fourier) domain it is possible to obtain better results since a separation can be attempted where the various Fourier frequencies are given different weights. This is seen as a useful characteristic in the case of noisy data. Here, we argue that the benefits of using such an approach are overestimated. Better results can be obtained if a classic procedure is adopted where data are filtered before the separation is carried out.

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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