论文标题
暗能量调查的联合宇宙学探针分析的内部一致性测试具有后验预测分布
Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions
论文作者
论文摘要
超过$λ$ CDM物理或系统错误可能会导致宇宙数据集的子集在分析$λ$ CDM时显得不一致。我们提出了内部一致性测试的应用到黑暗能源调查年度（DES Y1）关节探针分析中的测量。我们的分析依赖于在$λ$ CDM的假设下计算这些数据的后验预测分布（PPD）。我们发现DES Y1数据具有可接受的拟合优度，可与$λ$ cdm一起使用，可能会发现$ {p = 0.046} $的随机机会更适合拟合。使用图形检查补充的数值PPD测试，我们表明大多数数据向量似乎与期望完全一致，尽管我们观察到大型和小规模测量值之间的较小张力。数据向量的一小部分（大约1.5％）显示出与期望的异常大不相同。不包括数据的这一部分对宇宙学的约束有忽略的影响，但确实将$ p $ - 价值提高到0.10。此处开发的方法将用于测试DES 3年级探针数据集的一致性。
Beyond-$Λ$CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming $Λ$CDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of $Λ$CDM. We find that the DES Y1 data have an acceptable goodness of fit to $Λ$CDM, with a probability of finding a worse fit by random chance of ${p = 0.046}$. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5%) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the $p$-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets.
