论文标题
通货膨胀期间的粒子产生：来自Planck 2018的CMB数据的贝叶斯分析
Particle production during inflation: A Bayesian analysis with CMB data from Planck 2018
论文作者
论文摘要
一类涉及粒子生产快速爆发的通货膨胀模型可以预测观察性特征，例如原始标量功率谱中的颠簸样特征。在这项工作中，我们通过将其预测与Planck 2018的最新CMB数据进行比较来分析这些模型。我们考虑了粒子生产的两种情况。第一个是一个简单的方案，该方案由可观察到的通货膨胀期间的单个粒子产生组成。第二个由多种粒子产生组成，导致原始功率谱中的一系列颠簸状特征。我们发现，与一致性$λ$ CDM模型相比，多重倒数模型的第二种情况使CMB数据更合适。我们使用贝叶斯证据进行了模型比较。从对多重倒数模型原始特征幅度的观察约束，我们发现负责粒子生产的耦合参数$ g $必将为$ g <0.05 $。
A class of inflationary models that involve rapid bursts of particle productions predict observational signatures, such as bump-like features in the primordial scalar power spectrum. In this work, we analyze such models by comparing their predictions with the latest CMB data from Planck 2018. We consider two scenarios of particle production. The first one is a simple scenario consisting of a single burst of particle production during observable inflation. The second one consists of multiple bursts of particle production that lead to a series of bump-like features in the primordial power spectrum. We find that the second scenario of the multi-bump model gives better fit to the CMB data compared to the concordance $Λ$CDM model. We carried out model comparisons using Bayesian evidences. From the observational constraints on the amplitude of primordial features of the multi-bump model, we find that the coupling parameter $g$ responsible for particle production is bound to be $g< 0.05$.
