论文标题
融化的k- essence在页面空间中
Thawing k-essence dark energy in the PAge space
论文作者
论文摘要
可以以k-词的形式写出的广泛的深色能量模型，其拉格朗日密度是标量场$ ϕ $及其动能$ x \ equiv \ equiv \ frac {1} {2} {2} {2} {2} \ partial^μϕ \partial_μx$的两个变量函数。在融化的情况下，只有当哈勃摩擦在后期宇宙中的质量尺度以下时，标量场才变得动态。可以通过从随机矩阵\ cite {thaws}产生其拉格朗日密度的泰勒膨胀系数来随机取样融化的黑能模型。参考。 \ cite {Thaws}指出，有效的状态参数方程$（W_0，W_A）的非均匀分布可用于改善模型选择的统计信息。目前的工作研究了一个更通用的框架中解冻k- essence的统计数据，该框架由宇宙年龄（页）\ cite {page}进行参数化。对于固定物质分数$ω_m$，在页面参数空间中的狭窄频段中的随机解冻k- essence模型群集，提供了强大的理论先验。我们为中国空间站望远镜光学调查模拟宇宙剪切功率谱数据，并在有和没有理论上解冻K- essence的理论上比较了Fisher的预测。对于最佳的层析成像构图方案，理论上的先验将Page Space的功绩提高了$ 3.3 $。
A broad class of dark energy models can be written in the form of k-essence, whose Lagrangian density is a two-variable function of a scalar field $ϕ$ and its kinetic energy $X\equiv \frac{1}{2}\partial^μϕ\partial_μϕ$. In the thawing scenario, the scalar field becomes dynamic only when the Hubble friction drops below its mass scale in the late universe. Thawing k-essence dark energy models can be randomly sampled by generating the Taylor expansion coefficients of its Lagrangian density from random matrices \cite{thaws}. Ref. \cite{thaws} points out that the non-uniform distribution of effective equation of state parameters $(w_0, w_a)$ of thawing k-essence model can be used to improve the statistics of model selection. The present work studies the statistics of thawing k-essence in a more general framework that is Parameterized by the Age of the universe (PAge) \cite{PAge}. For fixed matter fraction $Ω_m$, the random thawing k-essence models cluster in a narrow band in the PAge parameter space, providing a strong theoretical prior. We simulate cosmic shear power spectrum data for the Chinese Space Station Telescope optical survey, and compare the fisher forecast with and without the theoretical prior of thawing k-essence. For an optimal tomography binning scheme, the theoretical prior improves the figure of merit in PAge space by a factor of $3.3$.
