论文标题
与不连续的Galerkin方案的天体物理学的谷物生长
Grain growth for astrophysics with Discontinuous Galerkin schemes
论文作者
论文摘要
根据其尺寸，除尘粒储存了或多或少的电荷，催化或多或少的化学反应，拦截或多或少的光子，并粘贴或多或少地粘贴以形成行星的胚胎。因此，需要准确处理数值建模中的粉尘凝结和碎片化。但是，在3D模拟的条件下，现有用于求解凝结方程的算法过度排除。我们通过基于不连续的Galerkin方法开发高阶求解器来应对这一挑战。该算法可以保留质量的机器精度，并允许在几个数量级上准确计算尘埃晶粒的生长，并具有非常有限的灰尘箱。
Depending on their sizes, dust grains store more or less charges, catalyse more or less chemical reactions, intercept more or less photons and stick more or less efficiently to form embryos of planets. Hence the need for an accurate treatment of dust coagulation and fragmentation in numerical modelling. However, existing algorithms for solving the coagulation equation are over-diffusive in the conditions of 3D simulations. We address this challenge by developing a high-order solver based on the Discontinuous Galerkin method. This algorithm conserves mass to machine precision and allows to compute accurately the growth of dust grains over several orders of magnitude in size with a very limited number of dust bins.
