标题： 使用普朗克数据对暴胀原初谱模型的贝叶斯分析 显示英文标题

标题： A Bayesian analysis of inflationary primordial spectrum models using Planck data

摘要： 当前可用的CMB数据表明，在大角度尺度上（l < 40）CMB温度涨落呈现出异常低的值。 这种功率的缺失无法用最小LCDM模型来解释，文献中探索的一种可能机制是原初功率谱（PPS）中存在由早期宇宙物理现象引发的特征。 在本文中，我们利用贝叶斯模型比较方法，分析了一组截断暴胀原初功率谱模型，并结合普朗克合作组织最新的宇宙微波背景（CMB）数据。 我们的结果表明，标准幂律参数化优于分析中考虑的所有模型，这促使我们寻找对观测到的CMB各向异性谱中功率缺失的替代解释。 显示英文摘要

摘要： The current available CMB data show an anomalously low value of the CMB temperature fluctuations at large angular scales (l < 40). This lack of power is not explained by the minimal LCDM model, and one of the possible mechanisms explored in the literature to address this problem is the presence of features in the primordial power spectrum (PPS) motivated by the early universe physics. In this paper, we analyse a set of cutoff inflationary PPS models using a Bayesian model comparison approach in light of the latest Cosmic Microwave Background (CMB) data from the Planck Collaboration. Our results show that the standard power-law parameterisation is preferred over all models considered in the analysis, which motivates the search for alternative explanations for the observed lack of power in the CMB anisotropy spectrum.