Handing off the outcome of binary neutron star mergers for accurate and long-term postmerger simulations

Handing off the outcome of binary neutron star mergers for accurate and long-term postmerger simulations
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DOI:
10.1103/physrevd.106.083015
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发表时间:
2021-12
期刊:
影响因子:
5
通讯作者:
F. L. Lopez Armengol;Z. Etienne;S. Noble;B. Kelly;Leonardo R. Werneck;B. Drachler;M. Campanelli
F. L. Lopez Armengol;Z. Etienne;S. Noble;B. Kelly;Leonardo R. Werneck;B. Drachler;M. Campanelli
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
F. L. Lopez Armengol;Z. Etienne;S. Noble;B. Kelly;Leonardo R. Werneck;B. Drachler;M. Campanelli

文献摘要

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我们使用伊利诺伊广义相对论磁流体动力学(IllinoisGRMHD)在具有自适应网格细化的笛卡尔网格上进行双中子星(BNS)并合的全动力学广义相对论模拟。在残余黑洞几乎稳定之后,笛卡尔网格上周围吸积盘在长时间尺度(约1秒)上的演化是次优的,因为笛卡尔坐标在大距离处过度解析角坐标,并且吸积的等离子体斜着穿过坐标线,人为地从吸积盘中耗散角动量。为了解决这个问题,我们提出了“交接”(HandOff),这是一组计算工具,它能够将广义相对论磁流体动力学(GRMHD)和时空数据从伊利诺伊GRMHD传输到Harm3d,Harm3d是一个专门用于在长时间尺度上对静态时空中的黑洞吸积盘进行建模的GRMHD代码,它利用具有球拓扑的一般坐标系。我们证明了“交接”能够实现GRMHD场和时空数据的平稳可靠转换,使我们能够高效可靠地对双中子星动力学进行远远超出并合阶段的演化。我们还讨论了未来的计划,其中包括使用“交接”方法将先进的物态方程和中微子物理纳入双中子星模拟。
We perform binary neutron star (BNS) merger simulations in full dynamical general relativity with IllinoisGRMHD , on a Cartesian grid with adaptive-mesh refinement. After the remnant black hole has become nearly stationary, the evolution of the surrounding accretion disk on Cartesian grids over long timescales ( ∼ 1s) is suboptimal, as Cartesian coordinates over-resolve the angular coordinates at large distances, and the accreting plasma flows obliquely across coordinate lines dissipating angular momentum artificially from the disk. To address this, we present the HandOff , a set of computational tools that enables the transfer of general relativistic magnetohydrodynamic (GRMHD) and spacetime data from IllinoisGRMHD to Harm3d , a GRMHD code that specializes in modeling black hole accretion disks in static spacetimes over long timescales, making use of general coordinate systems with spherical topology. We demonstrate that the HandOff allows for a smooth and reliable transition of GRMHD fields and spacetime data, enabling us to efficiently and reliably evolve BNS dynamics well beyond merger. We also discuss future plans, which involve incorporating advanced equations of state and neutrino physics into BNS simulations using the HandOff approach.