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arXiv 2303.18129astro-ph.HEgr-qc
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通过成分依赖状态方程的数值广义相对论磁流体力学模拟研究并合后系统中的中微子冷却盘

Neutrino cooled disk in post-merger system studied via numerical GR MHD simulation with a composition-dependent equation of state

Agnieszka Janiuk

AI总结:

本文研究双中子星并合后系统中中微子冷却盘的数值模拟,通过HARM_COOL程序引入成分依赖状态方程,比较多种守恒变量到原始变量的恢复方案并验证其收敛性,给出并合后系统的初步模拟结果。

摘要:

我们课题组正在开发HARM_COOL程序,这是一种用于相对论磁流体力学的守恒格式,并使用稠密物质的表格化状态方程(EOS)。在动力学模拟过程中可以选择并使用该状态方程,以替代简单的理想气体状态方程。在这种情况下,守恒变量与原始变量之间的反演方案并非易事。原则上,程序需要在每个时间步数值求解五个耦合的非线性方程。5维恢复方案最初在HARM中实现,并且对于具有解析形式的简单多方状态方程能够准确工作。我们当前的模拟支持以静止质量密度、温度和电子分数表述的成分依赖状态方程。在本会议论文中,我讨论并比较了已纳入我们程序的几种恢复方案。我还展示并讨论了它们的收敛性测试。最后,我展示了一组数值模拟的初步结果,该模拟针对双中子星(BNS)并合后形成的并合后系统。

英文摘要:

The code HARM\_COOL, a conservative scheme for relativistic magnetohydrodynamics, is being developed in our group and works with a tabulated equation of state of dense matter. This EOS can be chosen and used during dynamical simulation, instead of the simple ideal gas one. In this case, the inversion scheme between the conserved and primitive variables is not a trivial task. In principle, the code needs to solve numerically five coupled non-linear equations at every time-step. The 5-D recovery schemes were originally implemented in HARM and worked accurately for a simple polytropic EOS which has an analytic form. Our current simulations support the composition-dependent EOS, formulated in terms of rest-mass density, temperature and electron fraction. In this proceeding, I discuss and compare several recovery schemes that have been included in our code. I also present and discuss their convergence tests. Finally, I show set of preliminary results of a numerical simulation, addressed to the post-merger system formed after the binary neutron stars (BNS) coalescence.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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