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arXiv 1102.3435astro-ph.COgr-qchep-th
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基于广义慢滚的双谱特征快速计算

Fast Computation of Bispectrum Features with Generalized Slow Roll

Peter Adshead, Wayne Hu, Cora Dvorkin, Hiranya V. Peiris

摘要:

我们开发了一种基于广义慢滚(GSR)方法的快速技术,用于计算具有特征的暴胀模型的曲率双谱。我们表明,所有的三角形配置可以表示在暴胀背景下的三个简单的积分,典型的精度优于~ 20%。使用一阶GSR方法,典型精度可以提高到优于5%的水平。我们说明了这种技术与阶跃电位模型,已被调用来解释WMAP温度功率谱毛刺在ell ~ 20-40,并表明,极大似然模型低于可观测性的幅度超过100倍。我们还明确表明,双谱的一致性关系的局部斜率的功率谱是满足这些模型。在GSR方法中,双谱来自于与功率谱几乎相同的背景慢滚参数的函数的积分,但是具有对地平线交叉之前的历元的更强权重。因此,这种技术使反向工程的模型具有大的双谱,但小功率谱功能。

英文摘要:

We develop a fast technique based on the generalized slow roll (GSR) approach for computing the curvature bispectrum of inflationary models with features. We show that all triangle configurations can be expressed in terms of three simple integrals over the inflationary background with typical accuracy of better than ~20%. With a first order GSR approach the typical accuracy can be improved to better than the 5% level. We illustrate this technique with the step potential model that has been invoked to explain the WMAP temperature power spectrum glitches at ell ~ 20-40 and show that the maximum likelihood model falls short of observability by more than a factor of 100 in amplitude. We also explicitly demonstrate that the bispectrum consistency relation with the local slope of the power spectrum is satisfied for these models. In the GSR approach, the bispectrum arises from integrals of nearly the same function of the background slow-roll parameters as the power spectrum but with a stronger weight to the epoch before horizon crossing. Hence this technique enables reverse engineering of models with large bispectrum but small power spectrum features.

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