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arXiv 2602.20050astro-ph.COhep-ph
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宇宙弦和域墙:CMB B模式数据的影响

Cosmic strings and domain walls: the impact of CMB $B$-mode data

Universidade de Coimbra(科英布拉大学);Universidade do Minho(米尼奥大学);Universidade do Porto(波尔图大学)

Luca Caloni, Ricardo Z. Ferreira, Lara Sousa, Clara Winckler

AI总结:

研究利用CMB B模式数据改进对宇宙弦和域墙张力的约束,发现无显著证据,但对非零弦张力有轻微偏好,并预测未来观测将显著提升约束精度。

摘要:

我们分析了利用完整的普朗克2018数据以及BICEP/Keck 2018 B模式测量数据对稳定宇宙弦和域墙的CMB约束。通过使用Unconnected Segment Model对Nambu-Goto和Abelian-Higgs弦以及稳定域墙计算缺陷引起的各向异性,并将其纳入一个完整的马尔可夫链蒙特卡洛分析中,共同变化所有ΛCDM参数、张量到标量比以及弦/域墙张力。未发现显著的缺陷证据,尽管我们观察到对非零宇宙弦张力有轻微的偏好。我们的结果将之前的缺陷功率谱约束提高了高达两倍。在弦的情况下,改进是由B模式数据驱动的,并且在Abelian-Higgs弦中尤为明显。我们还提出了Simons Observatory和LiteBIRD卫星的预测:前者将改善弦张力约束约三倍,而后者将改善域墙张力约束约十倍。最后,我们评估了Nambu-Goto弦环对CMB各向异性的影响,基于当前和未来观测数据。

英文摘要:

We analyse CMB constraints on stable networks of cosmic strings and domain walls using for the first time full Planck 2018 data together with BICEP/Keck 2018 $B$-mode measurements. The defect-induced anisotropies are computed using the Unconnected Segment Model for Nambu-Goto and Abelian-Higgs strings, as well as for stable domain walls, and included in a full Markov Chain Monte Carlo analysis jointly varying all $Λ$CDM parameters, the tensor-to-scalar ratio, and the string/domain wall tension. No statistically significant evidence for defects is found, although we observe a mild preference for non-zero cosmic string tension. Our results improve previous constraints on the cosmic string power spectrum and correct previous CMB analyses with domain walls that overestimated the constraints. In the particular case of strings, the improvement is driven by the $B$-mode data, and is especially pronounced for Abelian-Higgs strings. We also present forecasts for the Simons Observatory and the LiteBIRD satellite: the former will improve string tension constraints by about a factor of three, while the latter those on the domain wall tension by about a factor of five. Finally, we assess the impact of Nambu-Goto string loops on CMB anisotropies in light of both current and future observations.

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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