期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 496, 期 4, 页码 4647-4653出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa1836
关键词
gravitational lensing: weak; methods: data analysis; methods: statistical; cosmological parameters; cosmology: observations; large-scale structure of Universe
资金
- ESOTelescopes at the La Silla Paranal Observatory [177.A-3016, 177.A-3017, 177.A-3018]
- STFC [ST/R000476/1] Funding Source: UKRI
We propose a principled Bayesian method for quantifying tension between correlated data sets with wide uninformative parameter priors. This is achieved by extending the Suspiciousness statistic, which is insensitive to priors. Our method uses global summary statistics, and as such it can be used as a diagnostic for internal consistency. We show how our approach can be combined with methods that use parameter space and data space to identify the existing internal discrepancies. As an example, we use it to test the internal consistency of the KiDS-450 data in four photometric redshift bins, and to recover controlled internal discrepancies in simulated KiDS data. We propose this as a diagnostic of internal consistency for present and future cosmological surveys, and as a tension metric for data sets that have non-negligible correlation, such as Large Synoptic Spectroscopic Survey and Euclid.
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