Quantifying Concordance in Cosmology
Sebastian Seehars (ETHZ), Sebastian Grandis (LMU/ETHZ), Adam Amara, (ETHZ), Alexandre Refregier (ETHZ)

TL;DR
This paper revisits the Surprise measure based on relative entropy to quantify agreement between cosmological datasets, demonstrating its effectiveness in identifying tensions and shifts among WMAP and Planck constraints on the DM model.
Contribution
It refines the properties of the Surprise measure and compares it with other concordance metrics, applying it to analyze WMAP and Planck data for the first time.
Findings
Large Surprise indicates tension between WMAP 9 and Planck 13 due to amplitude shifts.
Planck 15 constraints are consistent with WMAP 9, reducing previous tensions.
Surprise effectively quantifies dataset agreement and shifts in cosmological parameters.
Abstract
Quantifying the concordance between different cosmological experiments is important for testing the validity of theoretical models and systematics in the observations. In earlier work, we thus proposed the Surprise, a concordance measure derived from the relative entropy between posterior distributions. We revisit the properties of the Surprise and describe how it provides a general, versatile, and robust measure for the agreement between datasets. We also compare it to other measures of concordance that have been proposed for cosmology. As an application, we extend our earlier analysis and use the Surprise to quantify the agreement between WMAP 9, Planck 13 and Planck 15 constraints on the CDM model. Using a principle component analysis in parameter space, we find that the large Surprise between WMAP 9 and Planck 13 (S = 17.6 bits, implying a deviation from consistency at…
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