Constraining Curvature Parameters via Topology
Boudewijn F. Roukema (IUCAA), Jean-Pierre Luminet (DARC)

TL;DR
This paper explores how detecting multiple topological images in the universe can precisely constrain curvature parameters, offering a purely geometrical method independent of dynamical assumptions and the Hubble constant.
Contribution
It provides a detailed analysis of how topological image detections can constrain universe curvature parameters with high precision, independent of dynamical models.
Findings
Multiple topological images can constrain and \u03bb0 to within 1% and 10%.
CMB spots linked to low-redshift objects can yield similar constraints.
Constraints are independent of the Hubble constant, H0.
Abstract
If the assumption that physical space has a trivial topology is dropped, then the Universe may be described by a multiply connected Friedmann-Lema\^{\i}tre model on a sub-horizon scale. Specific candidates for the multiply connected space manifold have already been suggested. How precisely would a significant detection of multiple topological images of a single object, or a region on the cosmic microwave background, (due to photons arriving at the observer by multiple paths which have crossed the Universe in different directions), constrain the values of the curvature parameters and ? The way that the constraints on and depend on the redshifts of multiple topological images and on their radial and tangential separations is presented and calculated. The tangential separations give the tighter constraints: multiple topological images of known…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCosmology and Gravitation Theories · Space Science and Extraterrestrial Life · History and Developments in Astronomy
