论文标题
超新星数据，暗能量，跨普兰克审查制度和扫描式的模型独立分析
Model Independent Analysis of Supernova Data, Dark Energy, Trans-Planckian Censorship and the Swampland
论文作者
论文摘要
在这封信中，我们考虑了万神殿超新星数据的扩展和增长功能的模型无关重建。该方法依赖于以移位的Chebyshev多项式来开发扩展函数，并通过最大可能拟合数据来确定多项式的系数。在以模型无关的方式获得扩展函数后，我们还可以在不假设特定模型的情况下确定生长函数。然后，我们将结果与两类暗能量模型的预测进行了比较，首先是一类典型的标量场模型，符合Trans-Planckian审查制度和Swampland猜想，其次是一类广义Proca Vector Field模型。我们确定对这些模型中出现的参数的约束。
In this Letter, we consider the model-independent reconstruction of the expansion and growth functions from the Pantheon supernova data. The method relies on developing the expansion function in terms of shifted Chebyshev polynomials and determining the coefficients of the polynomials by a maximum-likelihood fit to the data. Having obtained the expansion function in a model-independent way, we can then also determine the growth function without assuming a particular model. We then compare the results with the predictions of two classes of Dark Energy models, firstly a class of quintessence scalar field models consistent with the trans-Planckian censorship and swampland conjectures, and secondly a class of generalized Proca vector field models. We determine constraints on the parameters which appear in these models.
