论文标题
精确处理宇宙射线和辐射/中微子转运的分段幂律模型中的散射和扩散
An accurate treatment of scattering and diffusion in piecewise power-law models for cosmic ray and radiation/neutrino transport
论文作者
论文摘要
一种对宇宙射线的“全光谱”(CRS)的动力学建模的流行数值方法,也适用于辐射/中微子流体动力学(RHD),是将每个位置/单元的频谱分散为动量(或频率)空间的“ bins”中的分段功率定律。这引起了一对在细胞或垃圾箱之间交换的保守量(例如Cr数和能量),从而使每个垃圾箱中光谱的归一化和斜率更新。尽管这些方法可以在动量空间(考虑注入,吸收,连续损失/增益)中精确演变,但如果散射速率取决于动量,则会出现与空间通量有关的数值挑战。这通常是通过忽略“垃圾箱内”的那些速率的变化或牺牲保护的方法来对待这一点的 - 引入了重大错误。在这里,我们得出了对这些术语的严格处理,并表明可以用一组简单的标量校正系数准确地解释垃圾箱内的变化,这些系数可以完全根据其他明显的“ bin融合”数量编写。这消除了没有增加计算成本的相关错误,对该方法的数值稳定性没有影响,并且保留了明显的保护。我们得出校正术语的校正项,用于明确整合通量变量(两摩托或类似于M1的方法)的方法,以及单矩(对流扩散,类似FLD)方法以及在各种限制中有效的近似校正。
A popular numerical method to model the dynamics of a 'full spectrum' of cosmic rays (CRs), also applicable to radiation/neutrino hydrodynamics (RHD), is to discretize the spectrum at each location/cell as a piecewise power law in 'bins' of momentum (or frequency) space. This gives rise to a pair of conserved quantities (e.g. CR number and energy) which are exchanged between cells or bins, that in turn give the update to the normalization and slope of the spectrum in each bin. While these methods can be evolved exactly in momentum-space (considering injection, absorption, continuous losses/gains), numerical challenges arise dealing with spatial fluxes, if the scattering rates depend on momentum. This has often been treated by either by neglecting variation of those rates 'within the bin,' or sacrificing conservation -- introducing significant errors. Here, we derive a rigorous treatment of these terms, and show that the variation within the bin can be accounted for accurately with a simple set of scalar correction coefficients that can be written entirely in terms of other, explicitly-evolved 'bin-integrated' quantities. This eliminates the relevant errors without added computational cost, has no effect on the numerical stability of the method, and retains manifest conservation. We derive correction terms both for methods which explicitly integrate flux variables (two-moment or M1-like) methods, as well as single-moment (advection-diffusion, FLD-like) methods, and approximate corrections valid in various limits.