Turbulence modelling in neutron star merger simulations
Turbulence modelling in neutron star merger simulations
Observations of neutron star mergers have the potential to unveil detailed physics of matter and gravity in regimes inaccessible by other experiments. Quantitative comparisons to theory and parameter estimation require nonlinear numerical simulations. However, the detailed physics of energy and momentum transfer between different scales, and the formation and interaction of small scale structures, which can be probed by detectors, are not captured by current simulations. This is where turbulence enters neutron star modelling. This review will outline the theory and current status of turbulence modelling for relativistic neutron star merger simulations.
Radice, David
88a8c417-b953-4471-b8d1-dabd8c4fed63
Hawke, Ian
fc964672-c794-4260-a972-eaf818e7c9f4
20 February 2024
Radice, David
88a8c417-b953-4471-b8d1-dabd8c4fed63
Hawke, Ian
fc964672-c794-4260-a972-eaf818e7c9f4
Radice, David and Hawke, Ian
(2024)
Turbulence modelling in neutron star merger simulations.
Living Reviews in Computational Astrophysics, 10 (1).
(doi:10.1007/s41115-023-00019-9).
Abstract
Observations of neutron star mergers have the potential to unveil detailed physics of matter and gravity in regimes inaccessible by other experiments. Quantitative comparisons to theory and parameter estimation require nonlinear numerical simulations. However, the detailed physics of energy and momentum transfer between different scales, and the formation and interaction of small scale structures, which can be probed by detectors, are not captured by current simulations. This is where turbulence enters neutron star modelling. This review will outline the theory and current status of turbulence modelling for relativistic neutron star merger simulations.
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2402.03224
- Accepted Manuscript
Text
s41115-023-00019-9
- Version of Record
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Accepted/In Press date: 18 December 2023
Published date: 20 February 2024
Identifiers
Local EPrints ID: 487485
URI: http://eprints.soton.ac.uk/id/eprint/487485
ISSN: 2365-0524
PURE UUID: 531abbc5-22ad-4e7b-a3af-d098d3e83aa1
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Date deposited: 21 Feb 2024 17:41
Last modified: 18 Mar 2024 03:01
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Author:
David Radice
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