{"title":"The Lagrangian numerical relativity code SPHINCS_BSSN_v1.0","authors":"Stephan Rosswog, Francesco Torsello, Peter Diener","doi":"10.3389/fams.2023.1236586","DOIUrl":null,"url":null,"abstract":"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).","PeriodicalId":36662,"journal":{"name":"Frontiers in Applied Mathematics and Statistics","volume":"27 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Applied Mathematics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fams.2023.1236586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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).