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arXiv 2303.00342hep-phastro-ph.COhep-th
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经典共形 $U(1)_{B-L}$ Higgs暴胀模型上的再加热一致性条件

Reheating consistency condition on the classically conformal $U(1)_{B-L}$ Higgs inflation model

Shinsuke Kawai, Nobuchika Okada

AI总结:

本文研究经典共形 $U(1)_{B-L}$ Higgs暴胀模型的分阶段再加热过程,利用暴胀e折叠数与再加热温度的一致性条件约束破缺尺度,并指出其可由未来CMB观测检验。

摘要:

我们重新审视了一个基于标准模型经典共形 $U(1)_{B-L}$ 扩展的宇宙学情景。我们的重点是暴胀后的再加热机制以及对模型参数的约束。在该情景中,暴胀动力学由与引力非最小耦合的 $U(1)_{B-L}$ Higgs场驱动,当该场通过Coleman-Weinberg机制获得真空期望值时,会自发破缺 $U(1)_{B-L}$ 对称性。研究发现,再加热过程分阶段进行;由于 $U(1)_{B-L}$ Higgs场的衰变通道已知,再加热温度得以估算。暴胀的e折叠数与再加热温度之间的关系为模型参数提供了一个很强的一致性条件,并且我们发现近期宇宙学数据给出了 $U(1)_{B-L}$ 破缺尺度的上限 $v_{BL}\lesssim 10^{12}$ GeV。下限为 $v_{BL}\gtrsim 10^6$ GeV,由该模型中成功再加热的条件得到。该模型对宇宙微波背景(CMB)谱的预测与当今宇宙学数据吻合得极好。该模型可由包括LiteBIRD和CMB-S4在内的近期未来CMB观测加以检验,并且是可证伪的。

英文摘要:

We revisit a cosmological scenario based on the classically conformal $U(1)_{B-L}$-extension of the Standard Model. Our focus is on the mechanism of reheating after inflation and the constraints on the model parameters. In this scenario, the inflationary dynamics is driven by the $U(1)_{B-L}$ Higgs field that is nonminimally coupled to gravity and breaks the $U(1)_{B-L}$ symmetry spontaneously as it acquires a vacuum expectation value through the Coleman-Weinberg mechanism. It is found that the reheating process proceeds stepwise, and as the decay channels of the $U(1)_{B-L}$ Higgs field are known, the reheating temperature is evaluated. The relation between the e-folding number of inflation and the reheating temperature provides a strong consistency condition on the model parameters, and we find that the recent cosmological data gives an upper bound on the $U(1)_{B-L}$ breaking scale $v_{BL}\lesssim 10^{12}$ GeV. The lower bound is $v_{BL}\gtrsim 10^6$ GeV, obtained as the condition for successful reheating in this model. The prediction for the cosmic microwave background (CMB) spectrum of this model fits extremely well with today's cosmological data. The model can be tested and is falsifiable by near future CMB observations, including the LiteBIRD and CMB-S4.

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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