Turbulence modelling in neutron star merger simulations
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Publication type: Journal Article
Publication date: 2024-02-20
SJR: —
CiteScore: —
Impact factor: —
ISSN: 23650524, 23673621
General Medicine
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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8
Total citations:
8
Citations from 2024:
8
(100%)
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Radice D. et al. Turbulence modelling in neutron star merger simulations // Living Reviews in Computational Astrophysics. 2024. Vol. 10. No. 1. 1
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Radice D., Hawke I. Turbulence modelling in neutron star merger simulations // Living Reviews in Computational Astrophysics. 2024. Vol. 10. No. 1. 1
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TY - JOUR
DO - 10.1007/s41115-023-00019-9
UR - https://doi.org/10.1007/s41115-023-00019-9
TI - Turbulence modelling in neutron star merger simulations
T2 - Living Reviews in Computational Astrophysics
AU - Radice, David
AU - Hawke, I.
PY - 2024
DA - 2024/02/20
PB - Springer Nature
IS - 1
VL - 10
SN - 2365-0524
SN - 2367-3621
ER -
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@article{2024_Radice,
author = {David Radice and I. Hawke},
title = {Turbulence modelling in neutron star merger simulations},
journal = {Living Reviews in Computational Astrophysics},
year = {2024},
volume = {10},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1007/s41115-023-00019-9},
number = {1},
pages = {1},
doi = {10.1007/s41115-023-00019-9}
}