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Lessons for adaptive mesh refinement in numerical relativity

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cam.depositDate2022-05-16
cam.issuedOnline2022-05-13
cam.orpheus.success2022-05-16 - Embargo set during processing via Fast-track
dc.contributor.authorRadia, Miren
dc.contributor.authorSperhake, Ulrich
dc.contributor.authorDrew, Amelia
dc.contributor.authorClough, Katy
dc.contributor.authorFigueras, Pau
dc.contributor.authorLim, Eugene A
dc.contributor.authorRipley, Justin
dc.contributor.authorAurrekoetxea, Josu C
dc.contributor.authorFrança, Tiago
dc.contributor.authorHelfer, Thomas
dc.contributor.orcidRadia, Miren [0000-0001-8861-2025]
dc.contributor.orcidSperhake, Ulrich [0000-0002-3134-7088]
dc.contributor.orcidDrew, Amelia [0000-0001-8252-602X]
dc.contributor.orcidRipley, Justin [0000-0001-7192-0021]
dc.date.accessioned2022-05-16T23:30:38Z
dc.date.available2022-05-16T23:30:38Z
dc.date.issued2022-05-13
dc.date.updated2022-05-16T09:18:42Z
dc.description.abstractWe demonstrate the flexibility and utility of the Berger-Rigoutsos Adaptive Mesh Refinement (AMR) algorithm used in the open-source numerical relativity code GRChombo for generating gravitational waveforms from binary black-hole inspirals, and for studying other problems involving non-trivial matter configurations. We show that GRChombo can produce high quality binary black-hole waveforms through a code comparison with the established numerical relativity code Lean. We also discuss some of the technical challenges involved in making use of full AMR (as opposed to, e.g. moving box mesh refinement), including the numerical effects caused by using various refinement criteria when regridding. We suggest several "rules of thumb" for when to use different tagging criteria for simulating a variety of physical phenomena. We demonstrate the use of these different criteria through example evolutions of a scalar field theory. Finally, we also review the current status and general capabilities of GRChombo.
dc.identifier.doi10.17863/CAM.84628
dc.identifier.issn0264-9381
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337210
dc.language.isoeng
dc.publisherIOP Publishing
dc.publisher.departmentDepartment of Applied Mathematics And Theoretical Physics
dc.publisher.departmentHomerton College
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.subjectgr-qc
dc.subjectgr-qc
dc.subjectastro-ph.HE
dc.subjecthep-ph
dc.titleLessons for adaptive mesh refinement in numerical relativity
dc.typeArticle
dcterms.dateAccepted2022-05-13
prism.publicationNameClassical and Quantum Gravity
pubs.funder-project-idSTFC (1936371)
pubs.funder-project-idScience and Technology Facilities Council (1936371)
pubs.funder-project-idEuropean Research Council (646597)
pubs.funder-project-idScience and Technology Facilities Council (ST/P000673/1)
pubs.funder-project-idScience and Technology Facilities Council (ST/R002452/1)
pubs.funder-project-idScience and Technology Facilities Council (ST/R00689X/1)
pubs.funder-project-idSTFC (ST/W001667/1)
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
pubs.licence-identifierapollo-deposit-licence-2-1
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1088/1361-6382/ac6fa9

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