arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2012.05821astro-ph.COgr-qc
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用随机引力波背景探测原始特征

Probing Primordial Features with the Stochastic Gravitational Wave Background

Matteo Braglia, Xingang Chen, Dhiraj Kumar Hazra

摘要:

随机引力波背景(SGWB)提供了一个新的机会,从暴胀模型观察原始特征的信号。我们研究他们的可探测性与未来的空间为基础的引力波实验,集中我们的分析的频率范围的LISA任务。我们计算引力波频谱的原始功能,探索参数空间的两个领域的膨胀模型能够产生不同类别的功能。为了使这些信号落在观测窗口内,必须对尺度和振幅进行微调。一旦它们出现,几类频率相关的振荡信号,不同的基础暴胀物理学的特点,可以区分和SGWB提供了一个窗口的动力学的原始宇宙独立的宇宙微波背景和大尺度结构。为了与未来的实验数据相联系,我们讨论了如何将结果应用于数据分析的两种方法。首先,我们讨论了用LISA重建信号的可能性,这需要高的信噪比。第二种更敏感的方法是应用代表谱的模板作为估计量。对于后者的目的,我们推导出模板,可以准确地捕捉几类特征信号的光谱特征,并将它们与其他物理机制产生的SGWB进行比较。

英文摘要:

The stochastic gravitational wave background (SGWB) offers a new opportunity to observe signals of primordial features from inflationary models. We study their detectability with future space-based gravitational waves experiments, focusing our analysis on the frequency range of the LISA mission. We compute gravitational wave spectra from primordial features by exploring the parameter space of a two-field inflation model capable of generating different classes of features. Fine-tuning in scales and amplitudes is necessary for these signals to fall in the observational windows. Once they show up, several classes of frequency-dependent oscillatory signals, characteristic of different underlying inflationary physics, may be distinguished and the SGWB provides a window on dynamics of the primordial universe independent of cosmic microwave background and large-scale structure. To connect with future experimental data, we discuss two approaches of how the results may be applied to data analyses. First, we discuss the possibility of reconstructing the signal with LISA, which requires a high signal-to-noise ratio. The second more sensitive approach is to apply templates representing the spectra as estimators. For the latter purpose, we derive templates that can accurately capture the spectral features of several classes of feature signals and compare them with the SGWB produced by other physical mechanisms.

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