2020
DOI: 10.1088/1361-6382/ab6a20
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Lie sphere geometry in lattice cosmology

Abstract: In this paper we propose to use Lie sphere-geometry as a new tool to systematically construct time-symmetric initial data for a wide variety of generalised black-hole configurations in lattice cosmology. These configurations are iteratively constructed analytically and may have any degree of geometric irregularity. We show that for negligible amounts of dust these solutions are similar to the swiss-cheese models at the moment of maximal expansion. As Lie sphere-geometry has so far not received much attention i… Show more

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Cited by 4 publications
(4 citation statements)
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“…The image of Apollonoan sphere: Reproduced under the terms of the CC-BY 3.0 license. [63] Copyright 2020, The Authors, published by IOP Publishing.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The image of Apollonoan sphere: Reproduced under the terms of the CC-BY 3.0 license. [63] Copyright 2020, The Authors, published by IOP Publishing.…”
Section: Discussionmentioning
confidence: 99%
“…The images of Menger sponge and Von Koch objects are reprinted under conditions of Creative Commons licenses. The image of Apollonoan sphere: Reproduced under the terms of the CC-BY 3.0 license [63]. Copyright 2020, The Authors, published by IOP Publishing.…”
mentioning
confidence: 99%
“…Remark: In this context, a sustained attempt on investigations of black hole lattices is followed by Clifton and collaborators, see the review [13] and references therein and [12], as well as Fennen and Giulini [56] who investigate black hole packings. Such approaches provide constructions of exact initial conditions of spacetimes with black holes allowing to numerically explore the effect of black holes on large scales.…”
Section: Topology and Black Holes Inmentioning
confidence: 99%
“…The image of Apollonoan sphere; Reproduced under the terms of the Creative Commons 3.0 license. [ 173 ] Copyright 2020, The Authors. Published by IOP Science.…”
Section: Plasma‐based Methods For Biowaste‐nanomaterials Conversionmentioning
confidence: 99%