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arXiv 1306.5378astro-ph.COastro-ph.IM
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基于连续小波变换的前景相减方法在21cm巡天中的应用

The Application of Continuous Wavelet Transform Based Foreground Subtraction Method in 21 cm Sky Surveys

Junhua Gu, Haiguang Xu, Jingying Wang, Tao An, Wen Chen

摘要:

我们提出了一种基于连续小波变换的非参数前景相减方法,用于检测来自再电离时期的红移21 cm信号。该方法基于前景谱在频域上是平滑的假设,而21 cm信号谱中充满锯齿状结构,因此它们的特征尺度存在显著差异。我们可以很容易地在小波系数空间中区分它们,并执行前景减法。与传统的基于谱拟合的方法相比,该方法对复杂前景具有更好的容忍度。此外,我们还发现,当仪器具有未校正的响应误差时,我们的方法也可以明显优于基于光谱拟合的方法。我们的方法可以得到类似的结果与Wp平滑方法,这也是一个非参数的方法,但我们的方法消耗的计算时间少得多。

英文摘要:

We propose a continuous wavelet transform based non-parametric foreground subtraction method for the detection of redshifted 21 cm signal from the epoch of reionization. This method works based on the assumption that the foreground spectra are smooth in frequency domain, while the 21 cm signal spectrum is full of saw-tooth-like structures, thus their characteristic scales are significantly different. We can distinguish them in the wavelet coefficient space easily and perform the foreground subtraction. Compared with the traditional spectral fitting based method, our method is more tolerant to complex foregrounds. Furthermore, we also find that when the instrument has uncorrected response error, our method can also work significantly better than the spectral fitting based method. Our method can obtain similar results with the Wp smoothing method, which is also a non-parametric method, but our method consumes much less computing time.

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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