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Monte-Carlo Neutrino Transport in Neutron Star Merger Simulations
The Astrophysical Journal Letters ( IF 7.9 ) Pub Date : 2020-10-12 , DOI: 10.3847/2041-8213/abbb87
Francois Foucart 1 , Matthew D. Duez 2 , Francois Hebert 3 , Lawrence E. Kidder 4 , Harald P. Pfeiffer 5 , Mark A. Scheel 3
Affiliation  

Gravitational waves and electromagnetic signals from merging neutron star binaries provide valuable information about the the properties of dense matter, the formation of heavy elements, and high-energy astrophysics. To fully leverage observations of these systems, we need numerical simulations that provide reliable predictions for the properties of the matter unbound in these mergers. An important limitation of current simulations is the use of approximate methods for neutrino transport that do not converge to a solution of the transport equations as numerical resolution increases, and thus have errors that are impossible to quantify. Here, we report on a first simulation of a binary neutron star merger that uses Monte-Carlo techniques to directly solve the transport equations in low-density regions. In high-density regions, we use approximations inspired by implicit Monte-Carlo to greatly reduce the cost of simulations, while only introducing errors quantifiable through more e...

中文翻译:

中子星合并模拟中的蒙特卡洛中微子输运

来自合并中子星双星的引力波和电磁信号提供了有关致密物质的性质,重元素的形成以及高能天体物理学的有价值的信息。为了充分利用对这些系统的观察,我们需要数值模拟,这些数值模拟可以为这些合并中未约束的事项的属性提供可靠的预测。当前模拟的一个重要局限性是中微子传输的近似方法的使用,随着数值分辨率的提高,该方法无法收敛于传输方程的解,因此存在无法量化的误差。在这里,我们报道了使用蒙特卡洛技术直接求解低密度区域中的输运方程的双星中子星合并的首次模拟。在高密度地区,
更新日期:2020-10-13
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