Cosmological discordances III: more on measure properties, Large-Scale-Structure constraints, the Hubble constant and Planck
Cristhian Garcia-Quintero, Mustapha Ishak, Logan Fox, Weikang Lin

TL;DR
This paper evaluates the stability and applicability of inconsistency measures in cosmology, applies them to current data sets revealing significant tensions in the Hubble constant measurements and large-scale structure data, highlighting the need to address potential systematics or model issues.
Contribution
It demonstrates the stability of the IOI inconsistency measure, applies it to multiple cosmological data sets, and uncovers new and existing tensions in Hubble constant and large-scale structure data.
Findings
IOI is numerically stable and suitable for multiple data sets.
Current LSS data sets are consistent with each other.
Significant tensions exist between Planck and local H0 measurements.
Abstract
Consistency between cosmological data sets is essential for ongoing and future cosmological analyses. We first investigate the questions of stability and applicability of some moment-based inconsistency measures to multiple data sets. We show that the recently introduced index of inconsistency (IOI) is numerically stable while it can be applied to multiple data sets. We use an illustrative construction of constraints as well as an example with real data sets (i.e. WMAP versus Planck) to show some limitations of the application of the Karhunen-Loeve decomposition to discordance measures. Second, we perform various consistency analyzes using IOI between multiple current data sets while \textit{working with the entire common parameter spaces}. We find current Large-Scale-Structure (LSS) data sets (Planck CMB lensing, DES lensing-clustering and SDSS RSD) all to be consistent with one…
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