Turbulence modelling in neutron star merger simulations

Radice, David; Hawke, Ian

doi:10.1007/s41115-023-00019-9

Title: Turbulence modelling in neutron star merger simulations

Journal Article · 19 February 2024 · Living Reviews in Computational Astrophysics (Online)

DOI: https://doi.org/10.1007/s41115-023-00019-9 · OSTI ID:2309696

^[1];

^[2]

Pennsylvania State Univ., University Park, PA (United States); The Pennsylvania State University
Univ. of Southampton (United Kingdom)

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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Research Organization:: Pennsylvania State Univ., University Park, PA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Nuclear Physics (NP)

Grant/Contract Number:: SC0021177

OSTI ID:: 2309696

Journal Information:: Living Reviews in Computational Astrophysics (Online), Journal Name: Living Reviews in Computational Astrophysics (Online) Journal Issue: 1 Vol. 10; ISSN 2365-0524

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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Global simulations of strongly magnetized remnant massive neutron stars formed in binary neutron star mergers Kiuchi, Kenta; Kyutoku, Koutarou; Sekiguchi, Yuichiro Physical Review D, Vol. 97, Issue 12 https://doi.org/10.1103/PhysRevD.97.124039	journal	June 2018
Accretion-induced prompt black hole formation in asymmetric neutron star mergers, dynamical ejecta and kilonova signals Bernuzzi, Sebastiano; Breschi, Matteo; Daszuta, Boris Monthly Notices of the Royal Astronomical Society https://doi.org/10.1093/mnras/staa1860	journal	June 2020
Exploring properties of high-density matter through remnants of neutron-star mergers Bauswein, Andreas; Stergioulas, Nikolaos; Janka, Hans-Thomas The European Physical Journal A, Vol. 52, Issue 3 https://doi.org/10.1140/epja/i2016-16056-7	journal	March 2016
Relativistic Simulations of Black Hole–Neutron star Coalescence: the jet Emerges Paschalidis, Vasileios; Ruiz, Milton; Shapiro, Stuart L. The Astrophysical Journal, Vol. 806, Issue 1 https://doi.org/10.1088/2041-8205/806/1/L14	journal	June 2015
A large-scale magnetic field produced by a solar-like dynamo in binary neutron star mergers Kiuchi, Kenta; Reboul-Salze, Alexis; Shibata, Masaru arXiv https://doi.org/10.48550/arXiv.2306.15721	preprint	January 2023
Dynamical mass ejection from the merger of asymmetric binary neutron stars: Radiation-hydrodynamics study in general relativity Sekiguchi, Yuichiro; Kiuchi, Kenta; Kyutoku, Koutarou Physical Review D, Vol. 93, Issue 12 https://doi.org/10.1103/PhysRevD.93.124046	journal	June 2016
Magnetorotational instability in relativistic hypermassive neutron stars Siegel, Daniel M.; Ciolfi, Riccardo; Harte, Abraham I. Physical Review D, Vol. 87, Issue 12 https://doi.org/10.1103/PhysRevD.87.121302	journal	June 2013
Unequal mass binary neutron star simulations with neutrino transport: Ejecta and neutrino emission Vincent, Trevor; Foucart, Francois; Duez, Matthew D. Physical Review D, Vol. 101, Issue 4 https://doi.org/10.1103/PhysRevD.101.044053	journal	February 2020
Neutron Star Extreme Matter Observatory: A kilohertz-band gravitational-wave detector in the global network Ackley, K.; Adya, V. B.; Agrawal, P. Publications of the Astronomical Society of Australia, Vol. 37 https://doi.org/10.1017/pasa.2020.39	journal	January 2020
Systematics of Dynamical mass Ejection, Nucleosynthesis, and Radioactively Powered Electromagnetic Signals from Neutron-Star Mergers Bauswein, A.; Goriely, S.; Janka, H. -T. The Astrophysical Journal, Vol. 773, Issue 1 https://doi.org/10.1088/0004-637X/773/1/78	journal	July 2013
Physics-informed Machine Learning for Modeling Turbulence in Supernovae Karpov, Platon I.; Huang, Chengkun; Sitdikov, Iskandar The Astrophysical Journal, Vol. 940, Issue 1 https://doi.org/10.3847/1538-4357/ac88cc	journal	November 2022
Magnetorotational instability in neutron star mergers: impact of neutrinos Guilet, Jérôme; Bauswein, Andreas; Just, Oliver Monthly Notices of the Royal Astronomical Society, Vol. 471, Issue 2 https://doi.org/10.1093/mnras/stx1739	journal	July 2017
Ledoux Convection in Protoneutron Stars—A Clue to Supernova Nucleosynthesis? Keil, Wolfgang; Janka, H. -Thomas; Müller, Ewald The Astrophysical Journal, Vol. 473, Issue 2 https://doi.org/10.1086/310404	journal	December 1996
Deconvolutional artificial neural network models for large eddy simulation of turbulence Yuan, Zelong; Xie, Chenyue; Wang, Jianchun Physics of Fluids, Vol. 32, Issue 11 https://doi.org/10.1063/5.0027146	journal	November 2020
High resolution magnetohydrodynamic simulation of black hole-neutron star merger: Mass ejection and short gamma ray bursts Kiuchi, Kenta; Sekiguchi, Yuichiro; Kyutoku, Koutarou Physical Review D, Vol. 92, Issue 6 https://doi.org/10.1103/PhysRevD.92.064034	journal	September 2015

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