How flat can you get? A model comparison perspective on the curvature of the Universe
Mihran Vardanyan (Oxford), Roberto Trotta (Imperial College London), and Joe Silk (Oxford)

TL;DR
This paper uses Bayesian model comparison to analyze current and future cosmological data, assessing the likelihood of a flat, open, or closed Universe and establishing limits on curvature and the number of Hubble spheres.
Contribution
It provides a comprehensive Bayesian analysis of the Universe's curvature, including current probabilities, future observational constraints, and the limits of detectability.
Findings
Current data favor a flat Universe with odds up to 200:1.
A lower limit of N_U > 5 Hubble spheres is established at 99% confidence.
Future experiments could constrain curvature with a precision of about 4.5×10^{-4}.
Abstract
The question of determining the spatial geometry of the Universe is of greater relevance than ever, as precision cosmology promises to verify inflationary predictions about the curvature of the Universe. We revisit the question of what can be learnt about the spatial geometry of the Universe from the perspective of a three-way Bayesian model comparison. We show that, given current data, the probability that the Universe is spatially infinite lies between 67% and 98%, depending on the choice of priors. For the strongest prior choice, we find odds of order 50:1 (200:1) in favour of a flat Universe when compared with a closed (open) model. We also report a robust, prior-independent lower limit to the number of Hubble spheres in the Universe, N_U > 5 (at 99% confidence). We forecast the accuracy with which future CMB and BAO observations will be able to constrain curvature, finding that a…
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