论文标题
使用CMB数据，贝叶斯重建充气速度
Bayesian reconstruction of the inflaton's speed of sound using CMB data
论文作者
论文摘要
由于使用Planck 2018温度，极化和镜头数据，在宇宙微波背景（CMB）角度功率谱中，我们更新了搜索功能的搜索，这是由于Aftraton声音速度的短暂降低。我们开发了一种新方法来测试更灵活的模板，以根据高斯过程重建声音速度的降低。我们使用\ textit {maximum-entropy}方法正式得出还原形状的动力学先验，以确保满足模型的物理条件。后验允许连续的一个或多个连续减少，在CMB功率光谱中拟合了多尔斯的明显特征，从几十到$ \ ell \ simeq 2000 $。如预期的那样，这些拟合在$λ$ CDM型号方面不受统计上的青睐。此处得出的方法允许包含其他数据集（尤其是大规模结构数据），从原则上讲，该数据集将增加重建通电量声音速度的统计意义。
We update the search for features, due to transient reductions in inflaton's speed of sound, in the Cosmic Microwave Background (CMB) angular power spectrum using Planck 2018 temperature, polarization and lensing data. We develop a new methodology to test more flexible templates to reconstruct the reduction of the speed of sound based on Gaussian Processes. We formally derive a dynamical prior for the shape of the reduction using a \textit{maximum-entropy} approach to ensure the physical conditions of the model are satisfied. The posterior allows for one or more consecutive reductions, fitting apparent features in the CMB power spectra in multipoles from a few tens to $\ell\simeq 2000$. As expected, these fits are not statistically favored with respect to the $Λ$CDM model. The methodology derived here allows for the inclusion of additional data sets (in particular, Large Scale Structure data), which in principle will increase the statistical significance of the reconstruction of the inflaton's speed of sound.
