论文标题
使用变量Eddington Tensor（VET）闭合的自适应网格的辐射流体动力学方案
A radiation hydrodynamics scheme on adaptive meshes using the Variable Eddington Tensor (VET) closure
论文作者
论文摘要
我们提出了一种新算法，以求解频率集成的两力公式中的辐射流体动力学方程（RHD）。该算法的新功能包括i）采用非本地可变的爱丁顿张量（VET）闭合辐射矩方程，使用射线追踪方法计算，ii）支持适应性网状细化（AMR），iii，III，III，使用固定的diestrient of Primin of Prine of Prine of Prine and Trine and tiriper to nives to nive to nivies to nive to radiation and a Picard tim-pic a Pic a Pic coard a Pic a Piciv pic a Piciv）气体辐射能量交换。测试表明，我们的方案正常工作，在气体和辐射之间产生准确的能量和动量转移速率，并在更常用但不太准确的情况下，即使在通量限制的扩散和MONMS-1近似值失败的情况下，也可以获得正确的辐射场分布。我们的计划介绍了进行RHD仿真的重要一步，其空间和方向的准确性提高，从而有效地提高了其预测能力。
We present a new algorithm to solve the equations of radiation hydrodynamics (RHD) in a frequency-integrated, two-moment formulation. Novel features of the algorithm include i) the adoption of a non-local Variable Eddington Tensor (VET) closure for the radiation moment equations, computed with a ray-tracing method, ii) support for adaptive mesh refinement (AMR), iii) use of a time-implicit Godunov method for the hyperbolic transport of radiation, and iv) a fixed-point Picard iteration scheme to accurately handle the stiff nonlinear gas-radiation energy exchange. Tests demonstrate that our scheme works correctly, yields accurate rates of energy and momentum transfer between gas and radiation, and obtains the correct radiation field distribution even in situations where more commonly used -- but less accurate -- closure relations like the Flux-limited Diffusion and Moment-1 approximations fail. Our scheme presents an important step towards performing RHD simulations with increasing spatial and directional accuracy, effectively improving their predictive capabilities.
