《Union Supernova Compilation》
Looking Beyond Lambda with the Union Supernova Compilation
摘要：
最近对全世界超新星距离-红移数据进行的强有力的均匀分析，连同宇宙微波背景和重子声学振荡数据，为约束宇宙学模型提供了强有力的工具。在这里，我们检查特定类别的标量场，修改后的重力，和唯象模型，以评估它们是否与观测一致，即使它们的行为偏离宇宙学常数λ。一些模型与数据有矛盾，而另一些模型只有在接近宇宙学常数时才能生存，有两个模型在统计上比LCDM更受欢迎。由两个状态方程参数描述的暗能量具有相当大的相空间以避免λ，并且将需要下一代数据来约束这样的物理。
英文摘要：
The recent robust and homogeneous analysis of the world's supernova distance-redshift data, together with cosmic microwave background and baryon acoustic oscillation data, provides a powerful tool for constraining cosmological models. Here we examine particular classes of scalar field, modified gravity, and phenomenological models to assess whether they are consistent with observations even when their behavior deviates from the cosmological constant Lambda. Some models have tension with the data, while others survive only by approaching the cosmological constant, and a couple are statistically favored over LCDM. Dark energy described by two equation of state parameters has considerable phase space to avoid Lambda and next generation data will be required to constrain such physics.
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