Constraining Neutrino Mass in Dynamical Dark Energy Cosmologies with the Logarithm Parametrization and the Oscillating Parametrization

Tian-Ying Yao, Rui-Yun Guo, Xin-Yue Zhao
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Abstract

We constrain two dynamical dark energy models that are parametrized by the logarithm form of and the oscillating form of . Comparing with the Chevallier-Polarski-Linder (CPL) model, the two parametrizations for dark energy can explore the whole evolution history of the universe properly. Using the current mainstream observational data including the cosmic microwave background data and the baryon acoustic oscillation data as well as the type Ia supernovae data, we perform the X2 statistic analysis to global fit these models, finding that the logarithm parametrization and the oscillating parameterization are almost as well as the CPL scenario in fitting these data. We make a comparison for the impacts of the dynamical dark energy on the cosmological constraints on the total mass of active neutrinos. We find that the logarithm parametrization and the oscillating parameterization can increase the fitting values of Σmv. Looser constraints on Σmv are obtained in the logarithm and oscillating models than those derived in the CPL model. Consideration of the possible mass ordering of neutrinos reveals that the most stringent constraint on Σmv appears in the degenerate hierarchy case.
用对数参数化和振荡参数化在动态暗能量宇宙学中约束中微子质量
的对数形式和的振荡形式参数化了两个动态暗能量模型。与Chevallier-Polarski-Linder (CPL)模型相比,暗能量的两种参数化能较好地探索宇宙的整个演化历史。利用当前主流观测数据,包括宇宙微波背景数据和重子声学振荡数据以及Ia型超新星数据,对这些模型进行X2统计分析,发现对数参数化和振荡参数化在拟合这些数据时几乎与CPL情景一样好。我们比较了动态暗能量对活动中微子总质量的宇宙学约束的影响。我们发现对数参数化和振荡参数化可以提高Σmv的拟合值。与CPL模型相比,对数模型和振荡模型对Σmv的约束更为宽松。对中微子可能的质量排序的考虑揭示了对Σmv最严格的约束出现在退化层次的情况下。
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