Interpreting Internal Consistency of DES Measurements

Understand

Bayesian evidence ratios are widely used to quantify the statistical consistency between different experiments.

• However, since the evidence ratio is prior dependent, the precise translation between its value and the degree of concordance/discordance requires additional information.
• The most commonly adopted metric, the Jeffreys scale, can falsely suggest agreement between datasets when priors are chosen to be sufficiently wide.
• In this work, we examine evidence ratios in a DES-Y1 simulated analysis, focusing on the internal consistency between weak lensing and galaxy clustering.