Distance Priors from Planck Final Release
Lu Chen, Qing-Guo Huang, Ke Wang

TL;DR
This paper presents updated distance priors from the 2018 Planck data, which are more precise and consistent with full data constraints, aiding cosmological model testing.
Contribution
It provides the latest distance priors from Planck 2018 data and validates their effectiveness across multiple dark energy models.
Findings
Uncertainties reduced by about 40% compared to 2015 data.
Distance priors yield consistent cosmological constraints.
Validated the priors against full Planck 2018 data.
Abstract
We present the distance priors from the finally released data in 2018. The uncertainties are around smaller than those from 2015 TTlowP. In order to check the validity of these new distance priors, we adopt the distance priors to constrain the cosmological parameters in different dark energy models, including the CDM model, the CDM model and the CPL model, and conclude that the distance priors provide consistent constraints on the relevant cosmological parameters compared to those from the full 2018 data release.
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