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Distinguishing freezing and thawing dark energy models through measurements of the fine-structure constant

机译:通过测量微结构常数来区分冷冻和解冻暗能模型

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Mapping the behaviour of dark energy is a pressing task for observational cosmology. Phenomenological classification divides dynamical dark energy models into freezing and thawing, depending on whether the dark energy equation of state is approaching or moving away from w ?=? p / ρ ?=??1. Moreover, in realistic dynamical dark energy models the dynamical degree of freedom is expected to couple to the electromagnetic sector, leading to variations of the fine-structure constant α . We discuss the feasibility of distinguishing between the freezing and thawing classes of models with current and forthcoming observational facilities and using a parametrisation of the dark energy equation of state, which can have either behaviour, introduced by Mukhanov as fiducial paradigm. We illustrate how freezing and thawing models lead to different redshift dependencies of α , and use a combination of current astrophysical observations and local experiments to constrain this class of models, improving the constraints on the key coupling parameter by more than a factor of two, despite considering a more extended parameter space than the one used in previous studies. We also briefly discuss the improvements expected from future facilities and comment on the practical limitations of this class of parametrisations. In particular, we show that sufficiently sensitive data can distinguish between freezing and thawing models, at least if one assumes that the relevant parameter space does not include phantom dark energy models.
机译:映射暗能的行为是观察宇宙学的按任务。现象学分类将动态暗能模型分成冷冻和解冻,这取决于状态的暗能方程是否正在接近或远离W?=? p /ρ?= ?? 1。此外,在现实的动态暗能模型中,预期自由度的动力学程度将耦合到电磁扇区,导致细结构常数α的变化。我们讨论了区分冻结和解冻类别的模型与当前的观察设施以及使用状态的暗能方程的参数化,这可以具有由Mukhanov引入的暗能方程,这是基于基准范式。我们说明了冻结和解冻模型如何导致α的不同红移依赖性,并使用当前天体物理观测和局部实验的组合来限制这类模型,尽管如此考虑比以前研究中使用的更扩展的参数空间。我们还简要介绍了未来设施的改进,并评论这类参数化的实际限制。特别地,我们表明,足够敏感的数据可以区分冻融和解冻模型,至少如果一个假设相关的参数空间不包括幻象暗能模型。

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