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BSSN equations in spherical coordinates without regularization: vacuum and non-vacuum spherically symmetric spacetimes

机译:球面坐标中没有正则化的BssN方程:真空   和非真空球对称时空

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摘要

Brown has recently introduced a covariant formulation of the BSSN equationswhich is well suited for curvilinear coordinate systems. This is particularlydesirable as many astrophysical phenomena are symmetric with respect to therotation axis or are such that curvilinear coordinates adapt better to theirgeometry. However, the singularities associated with such coordinate systemsare known to lead to numerical instabilities unless special care is taken(e.g., regularization at the origin). Cordero-Carrion will present a rigorousderivation of partially implicit Runge-Kutta methods in forthcoming papers,with the aim of treating numerically the stiff source terms in wave-likeequations that may appear as a result of the choice of the coordinate system.We have developed a numerical code solving the BSSN equations in sphericalsymmetry and the general relativistic hydrodynamic equations written influx-conservative form. A key feature of the code is that it uses asecond-order partially implicit Runge-Kutta method to integrate the evolutionequations. We perform and discuss a number of tests to assess the accuracy andexpected convergence of the code, namely a pure gauge wave, the evolution of asingle black hole, the evolution of a spherical relativistic star inequilibrium, and the gravitational collapse of a spherical relativistic starleading to the formation of a black hole. We obtain stable evolutions ofregular spacetimes without the need for any regularization algorithm at theorigin.
机译:Brown最近引入了BSSN方程的协变公式,该公式非常适合曲线坐标系。这是特别理想的,因为许多天体物理学现象相对于旋转轴是对称的,或者使得曲线坐标更好地适应其几何形状。但是,除非特别注意(例如,在原点处进行正则化),否则与此类坐标系相关的奇点会导致数值不稳定。 Cordero-Carrion将在即将发表的论文中对部分隐含的Runge-Kutta方法进行严格的推导,目的是用数值方法处理由于选择坐标系而可能出现的波状方程中的刚性源项。球形对称求解BSSN方程的数值代码和以保守的形式写成的广义相对论流体力学方程。该代码的关键特征是它使用了二阶部分隐式Runge-Kutta方法来集成进化方程。我们执行并讨论了许多测试,以评估代码的准确性和预期收敛性,即纯规范波,单黑洞的演化,球相对论恒星不平衡的演化以及导致相对论的球相对论恒星的引力坍塌黑洞的形成。我们获得了规则时空的稳定演化,而无需任何原始的正则化算法。

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