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The Lagrangian numerical relativity code SPHINCS_BSSN_v1.0
Stockholm University, Faculty of Science, Department of Astronomy. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC). University of Hamburg, Germany.ORCID iD: 0000-0002-3833-8520
Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC). Stockholm University, Faculty of Science, Department of Astronomy.ORCID iD: 0000-0002-4487-9403
Number of Authors: 32023 (English)In: Frontiers in Applied Mathematics and Statistics, E-ISSN 2297-4687, Vol. 9, article id 1236586Article in journal (Refereed) Published
Abstract [en]

We present version 1.0 of our Lagrangian numerical relativity code SPHINCS_BSSN. This code evolves the full set of Einstein equations, but contrary to other numerical relativity codes, it evolves the matter fluid via Lagrangian particles in the framework of a high-accuracy version of smooth particle hydrodynamics (SPH). The major new elements introduced here are: (i) a new method to map the stress–energy tensor (known at the particles) to the spacetime mesh, based on a local regression estimate; (ii) additional measures that ensure the robust evolution of a neutron star through its collapse to a black hole; and (iii) further refinements in how we place the SPH particles for our initial data. The latter are implemented in our code SPHINCS_ID which now, in addition to LORENE, can also couple to initial data produced by the initial data library FUKA. We discuss several simulations of neutron star mergers performed with SPHINCS_BSSN_v1.0, including irrotational cases with and without prompt collapse and a system where only one of the stars has a large spin (χ = 0.5).

 

Place, publisher, year, edition, pages
2023. Vol. 9, article id 1236586
Keywords [en]
numerical relativity, gravitational waves, neutron stars, smooth particle hydrodynamics, initial data
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:su:diva-225380DOI: 10.3389/fams.2023.1236586ISI: 001119319900001Scopus ID: 2-s2.0-85175373205OAI: oai:DiVA.org:su-225380DiVA, id: diva2:1829704
Available from: 2024-01-19 Created: 2024-01-19 Last updated: 2024-01-19Bibliographically approved

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Rosswog, StephanTorsello, Francesco

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