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arXiv 2305.02490astro-ph.CO
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基于机器学习的宇宙微波背景偏振去透镜化

Delensing of Cosmic Microwave Background Polarization with machine learning

Ye-Peng Yan, Guo-Jian Wang, Si-Yu Li, Jun-Qing Xia

AI总结:

为去除CMB偏振观测中的透镜效应以探测原初引力波,本文提出深度卷积网络MIMO-UNet进行去透镜化,在模拟图上有效重建了CMB偏振图并高比例恢复了原初与张量B模式功率谱。

摘要:

原初B模式探测是下一代宇宙微波背景(CMB)实验的主要目标之一。原初B模式是原初引力波(PGWs)的独特特征。然而,CMB光子与大规模结构的引力相互作用会使原初E模式发生畸变,从而在原初B模式信号中增加透镜B模式分量。从观测到的CMB偏振图中去除透镜效应(即“去透镜化”)对于改善对PGWs的限制并获取原初E模式信号是必要的。在此,我们引入了一种名为多输入多输出U-net(MIMO-UNet)的深度卷积神经网络模型来执行CMB去透镜化。这些网络在大小为$20^{\circ} \times 20^{\circ}$的模拟CMB图上进行了训练。我们首先使用MIMO-UNet从观测到的CMB图中重建未透镜化的CMB偏振($Q$和$U$)图。恢复的E模式功率谱与原初EE功率谱表现出极好的一致性。在角尺度$\ell<150$处,对于0、1和2 $\mu$K-arcmin的噪声水平,原初B模式功率谱的恢复率大于98%。我们还从观测到的CMB图中重建了透镜B图。在$\ell>200$的尺度上,透镜B模式功率谱的恢复率大致大于99%。我们通过减去重建的透镜B模式谱来对观测到的B模式功率谱进行去透镜化。在角尺度$\ell<120$处,对于0、1、2 $\mu$K-arcmin的噪声水平,张量B模式功率谱的恢复率大于98%。即使在$\ell=160$处,张量B模式功率谱的恢复率仍约为71%。

英文摘要:

Primordial B-mode detection is one of the main goals of next-generation cosmic microwave background (CMB) experiments. Primordial B-modes are a unique signature of primordial gravitational waves (PGWs). However, the gravitational interaction of CMB photons with large-scale structures will distort the primordial E modes, adding a lensing B-mode component to the primordial B-mode signal. Removing the lensing effect (`delensing') from observed CMB polarization maps will be necessary to improve the constraint of PGWs and obtain a primordial E-mode signal. Here, we introduce a deep convolutional neural network model named multi-input multi-output U-net (MIMO-UNet) to perform CMB delensing. The networks are trained on simulated CMB maps with size $20^{\circ} \times 20^{\circ}$. We first use MIMO-UNet to reconstruct the unlensing CMB polarization ($Q$ and $U$) maps from observed CMB maps. The recovered E-mode power spectrum exhibits excellent agreement with the primordial EE power spectrum. The recovery of the primordial B-mode power spectrum for noise levels of 0, 1, and 2 $μ$K-arcmin is greater than 98\% at the angular scale of $\ell<150$. We additionally reconstruct the lensing B map from observed CMB maps. The recovery of the lensing B-mode power spectrum is greater than roughly 99\% at the scales of $\ell>200$. We delens observed B-mode power spectrum by subtracting reconstructed lensing B-mode spectrum. The recovery of tensor B-mode power spectrum for noise levels of 0, 1, 2 $μ$K-arcmin is greater than 98 \% at the angular scales of $\ell<120$. Even at $\ell=160$, the recovery of tensor B-mode power spectrum is still around 71 \%.

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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