论文标题
具有校准湍流模型的二进制中子星星合并模拟
Binary Neutron Star Merger Simulations with a Calibrated Turbulence Model
论文作者
论文摘要
中子恒星（NS）合并残余物中的磁流失动力（MHD）湍流会影响其进化和多中文签名，从而使对当前和未来观察结果的解释变得复杂。由于雷诺数的较高和数值相对性模拟的巨大计算成本，因此在可预见的将来无法解决所有相关湍流的相关尺度。在这里，我们采用了一种方法，通过将大涡模拟（LES）方法扩展到一般相对论（GR），将亚网格规模的湍流包括在中等分辨率模拟中。我们用高分辨率GRMHD模拟的结果校准了亚网格湍流模型，并使用它来执行NS合并模拟并研究湍流的影响。我们发现，湍流对NS合并残留物，其重力波特征以及二进制NS合并产生的流出的定量，但没有定性的影响。我们的方法为NS合并中的湍流而量化不确定性提供了可行的途径。
Magnetohydrodynamic (MHD) turbulence in neutron star (NS) merger remnants can impact their evolution and multimessenger signatures, complicating the interpretation of present and future observations. Due to the high Reynolds numbers and the large computational costs of numerical relativity simulations, resolving all the relevant scales of the turbulence will be impossible for the foreseeable future. Here, we adopt a method to include subgrid-scale turbulence in moderate resolution simulations by extending the large-eddy simulation (LES) method to general relativity (GR). We calibrate our subgrid turbulence model with results from very-high-resolution GRMHD simulations, and we use it to perform NS merger simulations and study the impact of turbulence. We find that turbulence has a quantitative, but not qualitative impact on the evolution of NS merger remnants, on their gravitational wave signatures, and on the outflows generated in binary NS mergers. Our approach provides a viable path to quantify uncertainties due to turbulence in NS mergers.
