论文标题

从通货膨胀引力波的随机方法

Stochastic approach to gravitational waves from inflation

论文作者

Tasinato, Gianmassimo

论文摘要

我们提出了一种粗糙的程序,用于描述通货膨胀张量模式的超耐力动力学。我们的目的是为Spin-2模式的统计数据制定随机描述,该模式与通货膨胀的重力波的背景播种。使用量子力学的基本原理,我们确定了粗粒量张量场的概率密度,该张量范围满足了超级尺度尺度的随机Fokker-Planck方程。相应的噪声和漂移是可计算的,并取决于正在考虑的宇宙系统。我们的一般公式适用于各种宇宙学场景,也考虑在随机通货膨胀背景下很少考虑的情况,这对于它们的观察后果很重要。我们开始在纯正的保姆和幂律通货膨胀中获得噪声和漂移的预期表达,还包括对非吸收器相的影响的讨论。然后,我们采用我们的方法来描述从通货膨胀到辐射和物质统治的标准宇宙学时代的过渡。我们展示了流经宇宙学范围的模式之间的干扰以及在超耐尺度上自发产生的模式会影响粗粒量量的随机演变。在适当的范围内,我们发现地平线交叉处的张量模式的相应频谱与量子场理论计算的结果相匹配,但我们也突出显示了可能出现差异的位置。

We propose a coarse-graining procedure for describing the superhorizon dynamics of inflationary tensor modes. Our aim is to formulate a stochastic description for the statistics of spin-2 modes which seed the background of gravitational waves from inflation. Using basic principles of quantum mechanics, we determine a probability density for coarse-grained tensor fields, which satisfies a stochastic Fokker-Planck equation at superhorizon scales. The corresponding noise and drift are computable, and depend on the cosmological system under consideration. Our general formulas are applied to a variety of cosmological scenarios, also considering cases seldom considered in the context of stochastic inflation, and which are important for their observational consequences. We start obtaining the expected expressions for noise and drift in pure de Sitter and power-law inflation, also including a discussion of effects of non-attractor phases. We then apply our methods to describe scenarios with a transition from inflation to standard cosmological eras of radiation and matter domination. We show how the interference between modes flowing through the cosmological horizon, and modes spontaneously produced at superhorizon scales, can affect the stochastic evolution of coarse-grained tensor quantities. In appropriate limits, we find that the corresponding spectrum of tensor modes at horizon crossing matches with the results of quantum field theory calculations, but we also highlight where differences can arise.

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