arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0801.3215astro-ph
收藏

计算非线性无力日冕磁场

Computing nonlinear force free coronal magnetic fields

T. Wiegelmann, T. Neukirch

摘要:

了解日冕磁场的结构,对于我们了解许多太阳活动现象,例如耀斑和日冕物质抛射,是非常重要的。然而,直接测量日冕磁场是不可能的与目前的方法,因此,日冕磁场必须从光球测量外推。由于等离子体β较低,日冕磁场通常可以被假设为近似不受力,电流沿着磁场线流动。观测和理论上的原因都表明,至少在爆发之前,日冕磁场处于非线性的无力状态。不幸的是,非线性无力场的计算比势场或线性无力场更困难,并且通常没有解析解。我们讨论了已经提出的几种方法来计算非线性无力场,并特别关注最近提出的一种优化方法。我们比较的数值性能的一个新开发的数值代码的基础上的最优化方法与另一个代码的基础上的MHD松弛方法的性能,如果这两个代码都适用于重建的半解析非线性无力的解决方案。优化方法也进行了测试的情况下,我们添加随机噪声的解析解的完美的边界条件,以这种方式模仿更现实的情况下,边界条件由矢量磁图数据。我们发现,优化方法的收敛性能的影响,通过添加噪声的边界数据,我们讨论了克服这一困难的可能性。

英文摘要:

Knowledge of the structure of the coronal magnetic field is important for our understanding of many solar activity phenomena, e.g. flares and CMEs. However, the direct measurement of coronal magnetic fields is not possible with present methods, and therefore the coronal field has to be extrapolated from photospheric measurements. Due to the low plasma beta the coronal magnetic field can usually be assumed to be approximately force free, with electric currents flowing along the magnetic field lines. There are both observational and theoretical reasons which suggest that at least prior to an eruption the coronal magnetic field is in a nonlinear force free state. Unfortunately the computation of nonlinear force free fields is way more difficult than potential or linear force free fields and analytic solutions are not generally available. We discuss several methods which have been proposed to compute nonlinear force free fields and focus particularly on an optimization method which has been suggested recently. We compare the numerical performance of a newly developed numerical code based on the optimization method with the performance of another code based on an MHD relaxation method if both codes are applied to the reconstruction of a semi-analytic nonlinear force-free solution. The optimization method has also been tested for cases where we add random noise to the perfect boundary conditions of the analytic solution, in this way mimicking the more realistic case where the boundary conditions are given by vector magnetogram data. We find that the convergence properties of the optimization method are affected by adding noise to the boundary data and we discuss possibilities to overcome this difficulty.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑