论文标题

通过小波散射转换,检测21厘米信号的非豪斯信号的非高斯信号

Detecting the non-Gaussianity of the 21-cm signal during reionisation with the Wavelet Scattering Transform

论文作者

Greig, Bradley, Ting, Yuan-Sen, Kaurov, Alexander A.

论文摘要

检测21厘米的超精细介质从中性氢中的介质中的中性氢转变是我们了解驱动驱动回电时代(EOR)的天体物理过程的最佳探测器。检测该21 cm信号的主要均值是通过使用21 cm功率谱(PS)对空间波动进行统计测量。但是,21 cm信号是非高斯的,含义PS仅测量高斯波动,是表征所有可用信息的优化。即将到来的平方公里阵列(SKA)将执行1000摄氏度$。^{2} $的深1000小时观察,专门为恢复21厘米信号的直接图像而设计。在这项工作中,我们使用小波散射变换(WST)直接从21-CM信号的这二维图像中提取非高斯信息。 WST的主要优点是它在统计噪声方面的稳定性,用于测量非高斯信息,这与统计噪声差异的双光谱不同。我们介绍了一种新方法,将这些非高斯信息与模拟21厘米的图像隔离开来,并在150(177)〜MHz($ z \ sim8.5 $和$ \ sim7 $)的检测中显示出具有信噪比$ \ $ \ sim $ 5〜(8)的信托模型,假设是完美的前景拆卸,并假设避免了$ 5〜(8)。

Detecting the 21-cm hyperfine transition from neutral hydrogen in the intergalactic medium is our best probe for understanding the astrophysical processes driving the Epoch of Reionisation (EoR). The primary means for a detection of this 21-cm signal is through a statistical measurement of the spatial fluctuations using the 21-cm power spectrum (PS). However, the 21-cm signal is non-Gaussian meaning the PS, which only measures the Gaussian fluctuations, is sub-optimal for characterising all of the available information. The upcoming Square Kilometre Array (SKA) will perform a deep, 1000 hr observation over 100 deg$.^{2}$ specifically designed to recover direct images of the 21-cm signal. In this work, we use the Wavelet Scattering Transform (WST) to extract the non-Gaussian information directly from these two-dimensional images of the 21-cm signal. The key advantage of the WST is its stability with respect to statistical noise for measuring non-Gaussian information, unlike the bispectrum whose statistical noise diverges. We introduce a novel method to isolate this non-Gaussian information from mock 21-cm images and demonstrate its detection at 150 (177)~MHz ($z\sim8.5$ and $\sim7$) for a fiducial model with signal-to-noise of $\sim$5~(8) assuming perfect foreground removal and $\sim2$~(3) assuming foreground wedge avoidance.

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