Star-Crossed Labours: Checking Consistency Between Current Supernovae Compilations

William L. Matthewson, Arman Shafieloo
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Abstract

We make use of model-independent statistical methods to assess the consistency of three different supernova compilations: Union3, Pantheon+ and DES 5-year supernovae. We expand the available model space of each, using Crossing Statistics, and test the compatibility of each dataset, against the other two. This is done using (I) a Flat $\Lambda$CDM fitting to, and (II) Iterative Smoothing from, one particular dataset, and determining the level of deformation by required to fit the other two. This allows us to test the mutual consistency of the datasets both within the standard model and in the case of some extended model, motivated by features present in a particular dataset. We find that, in both these cases, the data are only consistent with the point in the parameter space corresponding to zero deformation, at around a $2\sigma$ level, with the DES compilation showing the largest disagreement. However, all three datasets are still found to be consistent to within $1-2\sigma$ for some subset of the extended model space implied by the deformations.
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星际交叉的工作检查当前超新星汇编之间的一致性
我们利用与模型无关的统计方法来评估三种不同超新星汇编的一致性:Union3、Pantheon+ 和 DES 5 年超新星汇编的一致性。我们使用交叉统计(Crossing Statistics)方法扩展了每个数据集的可用模型空间,并测试了每个数据集与另外两个数据集的兼容性。这是通过(I)对一个特定数据集进行平$\Lambda$CDM拟合,以及(II)对另两个数据集进行迭代平滑来完成的。这样,我们就可以测试数据集在标准模型中的相互一致性,以及在某些扩展模型中的相互一致性,这些扩展模型是由特定数据集中存在的特征激发的。我们发现,在这两种情况下,数据只与参数空间中对应于零形变的点相一致,大约在2美元(sigma$)的水平上,DES汇编显示出最大的不一致性。然而,对于变形所隐含的扩展模型空间的某个子集,所有三个数据集的一致性仍然在1-2(sigma$)美元之内。
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