论文标题

通货膨胀期间随机颗粒产生的曲率扰动

Curvature Perturbations From Stochastic Particle Production During Inflation

论文作者

Garcia, Marcos A. G., Amin, Mustafa A., Green, Daniel

论文摘要

我们计算出由膨胀过程中反复和非绝热激发的观众场来得出的曲率功率谱。在没有观众场相互作用性质的详细信息的情况下,我们考虑了一个模型的集合,这些模型在重复相互作用和从简单概率分布中得出的相互作用强度之间进行间隔。我们表明,集合的每个成员的曲率功率光谱显示出具有许多特征的丰富结构,并且在同一集合的不同实现之间存在很大的差异。可以通过宇宙微波背景(CMB)和大规模结构观测来探测此类特征。它们还可能对原始黑洞的形成和CMB光谱畸变有影响。 观众场的几何随机行走行为使我们能够通过半分析来计算曲率扰动的集合平均功率谱。对于足够大的随机采购,集合平均的功率谱显示出量表依赖性是由于在粒子生产期间在地平线外部花费的时间所产生的,尽管在基础模型中没有首选尺度。我们发现,整体平均功率谱的大小高估了集合中的典型功率光谱,因为功率光谱的合奏分布高度非高斯和脂肪尾巴。

We calculate the curvature power spectrum sourced by spectator fields that are excited repeatedly and non-adiabatically during inflation. In the absence of detailed information of the nature of spectator field interactions, we consider an ensemble of models with intervals between the repeated interactions and interaction strengths drawn from simple probabilistic distributions. We show that the curvature power spectra of each member of the ensemble shows rich structure with many features, and there is a large variability between different realizations of the same ensemble. Such features can be probed by the cosmic microwave background (CMB) and large scale structure observations. They can also have implications for primordial black hole formation and CMB spectral distortions. The geometric random walk behavior of the spectator field allows us to calculate the ensemble-averaged power spectrum of curvature perturbations semi-analytically. For sufficiently large stochastic sourcing, the ensemble-averaged power spectrum shows a scale dependence arising from the time spent by modes outside the horizon during the period of particle production, in spite of there being no preferred scale in the underlying model. We find that the magnitude of the ensemble-averaged power spectrum overestimates the typical power spectra in the ensemble because the ensemble distribution of the power spectra is highly non-Gaussian with fat tails.

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