论文标题
基于$ n $ body模拟的新的离散动力学估计器
A New Discrete Dynamical Friction Estimator Based on $N$-body Simulations
论文作者
论文摘要
银河模拟中的一个长期问题是,当它们的质量与背景模拟颗粒相当或小时,解决作用于巨大黑洞颗粒的动力摩擦(DF)力。已经提出了许多基于传统Chandrasekhar DF公式的子网格模型,但是当将Chandrasekhar公式的某些术语定义时,它们在应用于真实星系的某些术语中遭受了基本的歧义,并且难以评估(空间上)(空间上)离散模拟数据的连续数量的难度。在这项工作中,我们基于$ n $ body模拟的离散性质提出了一个新的子网格动力学估计器,这也避免了Chandrasekhar公式中模棱两可的数量。我们在Gizmo代码中测试了我们的估计器,发现它与DF完全捕获的高分辨率模拟非常吻合,并且具有可忽略的额外计算成本。我们还将其与Chandrasekhar估计器进行了比较,并在实际银河模拟中讨论了其应用。
A longstanding problem in galactic simulations is to resolve the dynamical friction (DF) force acting on massive black hole particles when their masses are comparable to or less than the background simulation particles. Many sub-grid models based on the traditional Chandrasekhar DF formula have been proposed, yet they suffer from fundamental ambiguities in the definition of some terms in Chandrasekhar's formula when applied to real galaxies, as well as difficulty in evaluating continuous quantities from (spatially) discrete simulation data. In this work we present a new sub-grid dynamical friction estimator based on the discrete nature of $N$-body simulations, which also avoids the ambiguously-defined quantities in Chandrasekhar's formula. We test our estimator in the GIZMO code and find that it agrees well with high-resolution simulations where DF is fully captured, with negligible additional computational cost. We also compare it with a Chandrasekhar estimator and discuss its applications in real galactic simulations.