A new approach and code for spinning black holes in modified gravity
dc.contributor.author | Fernandes, PGS | |
dc.contributor.author | Mulryne, DJ | |
dc.date.accessioned | 2023-10-17T14:55:02Z | |
dc.date.available | 2023-10-17T14:55:02Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 0264-9381 | |
dc.identifier.other | ARTN 165001 | |
dc.identifier.other | ARTN 165001 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/91382 | |
dc.description.abstract | We discuss and implement a spectral method approach to computing stationary and axisymmetric black hole solutions and their properties in modified theories of gravity. The resulting code is written in the Julia language and is transparent and easily adapted to new settings. We test the code on both general relativity and on Einstein-scalar-Gauss–Bonnet gravity. It is accurate and fast, converging on a spinning solution in these theories with tiny errors (${\sim} \mathcal{O}\left(10^{-13}\right)$ in most cases) in a matter of seconds. | en_US |
dc.publisher | IOP Publishing Ltd | en_US |
dc.relation.ispartof | CLASSICAL AND QUANTUM GRAVITY | |
dc.rights | This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | spinning black holes | en_US |
dc.subject | stationary and axisymmetric black holes | en_US |
dc.subject | spectral method | en_US |
dc.subject | modified gravity | en_US |
dc.subject | Einstein-scalar-Gauss-Bonnet | en_US |
dc.subject | code | en_US |
dc.subject | PDE solver | en_US |
dc.title | A new approach and code for spinning black holes in modified gravity | en_US |
dc.type | Article | en_US |
dc.rights.holder | © 2023 The Author(s). Published by IOP Publishing Ltd | |
dc.identifier.doi | 10.1088/1361-6382/ace232 | |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001027285100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 16 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 40 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
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Except where otherwise noted, this item's license is described as This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.