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arXiv 2102.11257hep-phastro-ph.COhep-th
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Axi-Higgs宇宙学

Axi-Higgs Cosmology

Leo WH Fung, Lingfeng Li, Tao Liu, Hoang Nhan Luu, Yu-Cheng Qiu, S. -H. Henry Tye

摘要:

如果早期宇宙中的电弱Higgs真空期望值$v$比当前值$v_0=246$ GeV高$\sim 1 \%$,则BBN中的$^7$ Li之谜和CMB/ $Λ$ CDM张力与晚期宇宙测量的哈勃参数之间的关系将得到缓解.我们提出了一个模型的轴子耦合到希格斯场,命名为"axi-Higgs“,其质量$m_a \sim 10^{-30} - 10^{-29}\,{\rm eV}$和衰减常数$f_a \sim 10^{17} - 10^{18}\,{\rm GeV}$,以实现这一目标。轴子初始值$a_{\rm ini}$在整个BBN复合时期产生初始$Δv_{\rm ini}/v_0 \sim 0.01$,并对今天的总物质密度产生百分比水平的贡献。由于其非常大的德布罗意波长,这种轴子物质密度$ω_a$抑制了物质功率谱,缓解了CMB/ $Λ$ CDM $S_8/σ_8$与弱透镜数据的紧张关系。它还解释了最近报道的各向同性宇宙双折射与光子的耦合。将模糊暗物质模型中的轴子($m \sim 10^{-22}\,$ eV)添加到axi-Higgs模型中,可以使更大的$Δv_{\rm rec}$和$ω_a$同时解决哈勃和$S_8/σ_8$张力。该模型预测,$Δv$可以通过类星体的光谱测量来检测,而它的振荡可以通过原子钟测量来观察。

英文摘要:

If the electroweak Higgs vacuum expectation value $v$ in early universe is $\sim 1 \%$ higher than its present value $v_0=246$ GeV, the $^7$Li puzzle in BBN and the CMB/$Λ$CDM tension with late-universe measurements on Hubble parameter are mitigated. We propose a model of an axion coupled to the Higgs field, named ``axi-Higgs'', with its mass $m_a \sim 10^{-30} - 10^{-29}\,{\rm eV}$ and decay constant $f_a \sim 10^{17} - 10^{18}\,{\rm GeV}$, to achieve this goal. The axion initial value $a_{\rm ini}$ yields an initial $Δv_{\rm ini}/v_0 \sim 0.01$ throughout the BBN-recombination epoch and a percent level contribution to the total matter density today. Because of its very large de Broglie wavelength, this axion matter density $ω_a$ suppresses the matter power spectrum, alleviating the CMB/$Λ$CDM $S_8/σ_8$ tension with the weak-lensing data. It also explains the recently reported isotropic cosmic birefringence by its coupling with photons. Adding the axion ($m \sim 10^{-22}\,$eV) in the fuzzy dark matter model to the axi-Higgs model allows bigger $Δv_{\rm rec}$ and $ω_a$ to address the Hubble and $S_8/σ_8$ tensions simultaneously. The model predicts that $Δv$ may be detected by the spectral measurements of quasars, while its oscillation may be observed in the atomic clock measurements.

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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