Lessons for adaptive mesh refinement in numerical relativity
Authors
Publication Date
2022Journal Title
Classical and Quantum Gravity
ISSN
0264-9381
Publisher
IOP Publishing
Volume
39
Issue
13
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Radia, M., Sperhake, U., Drew, A., Clough, K., Figueras, P., Lim, E., Ripley, J., et al. (2022). Lessons for adaptive mesh refinement in numerical relativity. Classical and Quantum Gravity, 39 (13) https://doi.org/10.1088/1361-6382/ac6fa9
Description
Funder: Queen’s College, University of Oxford; doi: https://doi.org/10.13039/100010356
Funder: Homerton College, University of Cambridge; doi: https://doi.org/10.13039/501100008420
Abstract
We 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.
Keywords
numerical relativity, adaptive mesh refinement, gravitational waves, compact objects, computational methods
Sponsorship
STFC (1936371)
Science and Technology Facilities Council (1936371)
European Research Council (646597)
Science and Technology Facilities Council (ST/P000673/1)
Science and Technology Facilities Council (ST/R002452/1)
Science and Technology Facilities Council (ST/R00689X/1)
STFC (ST/W001667/1)
Identifiers
cqgac6fa9, ac6fa9, cqg-109086.r1
External DOI: https://doi.org/10.1088/1361-6382/ac6fa9
This record's URL: https://www.repository.cam.ac.uk/handle/1810/337832
Rights
Licence:
https://creativecommons.org/licenses/by/4.0/
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