科研之友
微信
新浪微博
Facebook
分享链接
摘要
Non-parametric reconstruction methods, such as Gaussian process (GP) regression, provide a model-independent way of estimating an underlying function and its uncertainty from noisy data. We demonstrate how GP-reconstruction can be used as a consistency test between a given data set and a specific model by looking for structures in the residuals of the data with respect to the model's best-fit. Applying this formalism to the Planck temperature and polarisation power spectrum measurements, we test their global consistency with the predictions of the base Lambda CDM model. Our results do not show any serious inconsistencies, lending further support to the interpretation of the base Lambda CDM model as cosmology's gold standard.
- 出版日期2017-9
