arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1503.04810astro-ph.COhep-phhep-th
收藏

从特征出发:通货膨胀功率谱的优化评估

Running from Features: Optimized Evaluation of Inflationary Power Spectra

Hayato Motohashi, Wayne Hu

摘要:

在轴子单值模型中,暴胀过程中与其结束无关的时间特征可以产生标量,在较小程度上,张量功率谱与无标度幂律谱的偏差可以与标度不变性本身的偏差一样大。在这里,标准的慢滚方法失效了,因为它的参数在一个e折叠尺度$ΔN$上演化,该尺度比到暴胀结束时的e折叠小得多。使用广义的慢滚方法,我们表明,潜在的或哈勃演化参数的层次结构中的可观测量的扩展来自泰勒扩展的功能,可以优化的评估点周围。只要功率谱可以通过局部倾斜和运行在观察良好的几个efolds上描述,则前导阶表达式的优化为当前数据提供了足够准确的近似。具有讽刺意味的是,通常在文献中使用的标准二阶方法,由于不一致的可观测值的评估,比领先的顺序的方法更糟糕。我们开发了一种新的优化的次阶方法,预测观测$10^{-3}$即使是$ΔN\sim 1$的所有参数在无限的层次是可比的幅度。对于具有$ΔN \ll 1$的模型,广义慢滚方法提供了在偏离尺度不变性方面精确到二阶的积分表达式。它们在单值模型中的评估提供了曲率谱中的运行振荡幅度、频率和相位与势的参数之间的高度精确的显式关系。

英文摘要:

In models like axion monodromy, temporal features during inflation which are not associated with its ending can produce scalar, and to a lesser extent, tensor power spectra where deviations from scale-free power law spectra can be as large as the deviations from scale invariance itself. Here the standard slow-roll approach breaks down since its parameters evolve on an efolding scale $ΔN$ much smaller than the efolds to the end of inflation. Using the generalized slow-roll approach, we show that the expansion of observables in a hierarchy of potential or Hubble evolution parameters comes from a Taylor expansion of the features around an evaluation point that can be optimized. Optimization of the leading-order expression provides a sufficiently accurate approximation for current data as long as the power spectrum can be described over the well-observed few efolds by the local tilt and running. Standard second-order approaches, often used in the literature, ironically are worse than leading-order approaches due to inconsistent evaluation of observables. We develop a new optimized next-order approach which predicts observables to $10^{-3}$ even for $ΔN\sim 1$ where all parameters in the infinite hierarchy are of comparable magnitude. For models with $ΔN \ll 1$, the generalized slow-roll approach provides integral expressions that are accurate to second order in the deviation from scale invariance. Their evaluation in the monodromy model provides highly accurate explicit relations between the running oscillation amplitude, frequency and phase in the curvature spectrum and parameters of the potential.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑