The Lagrangian numerical relativity code SPHINCS_BSSN_v1.0

IF 1.3 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Frontiers in Applied Mathematics and Statistics Pub Date : 2023-10-13 DOI:10.3389/fams.2023.1236586
Stephan Rosswog, Francesco Torsello, Peter Diener
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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).
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拉格朗日数值相对论代码SPHINCS_BSSN_v1.0
我们给出了我们的拉格朗日数值相对论代码SPHINCS_BSSN的1.0版本。这个代码发展了爱因斯坦方程的全部集合,但与其他数值相对论代码相反,它在高精度光滑粒子流体力学(SPH)的框架中通过拉格朗日粒子发展了物质流体。本文引入的主要新元素有:(i)基于局部回归估计将应力-能量张量(在粒子处已知)映射到时空网格的新方法;(ii)确保中子星在坍缩成黑洞的过程中稳健演化的额外措施;以及(iii)进一步改进我们如何为初始数据放置SPH粒子。后者是在我们的代码SPHINCS_ID中实现的,现在,除了LORENE之外,它还可以耦合到初始数据库FUKA产生的初始数据。我们讨论了用SPHINCS_BSSN_v1.0进行的中子星合并的几种模拟,包括有和没有迅速坍缩的无旋转情况,以及只有一颗恒星具有大自旋的系统(χ = 0.5)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Applied Mathematics and Statistics
Frontiers in Applied Mathematics and Statistics Mathematics-Statistics and Probability
CiteScore
1.90
自引率
7.10%
发文量
117
审稿时长
14 weeks
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