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arXiv 1406.4865math.NAcs.NAgr-qc
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不连续配置法及其在引力自作用中的应用

Discontinuous collocation methods and gravitational self-force applications

Charalampos Markakis, Michael F. O'Boyle, Pablo D. Brubeck, Leor Barack

摘要:

作为LISA探测器最重要的源,外质量比螺旋的数值模拟面临着一些计算挑战。本文提出了一种新的方法来发展黑洞扰动理论中的偏微分方程,并计算了作用在围绕超大质量黑洞运动的点粒子上的自作用力。这样的方程是分布式的,标准的数值方法,如有限差分或谱方法,面临着与近似不连续函数相关的困难。然而,在自作用力问题中,我们通常可以获得关于粒子处不连续性的局部结构的全部先验信息。利用这些信息,我们表明,高阶精度可以恢复添加到拉格朗日插值公式的线性组合的某些跳跃幅度。我们构造不连续的空间和时间的离散化,通过操作的校正拉格朗日公式。在一个方法的线的框架,这提供了一个简单而有效的方法来解决时间相关的偏微分方程,没有损失的精度附近的移动奇点或不连续性。这种方法非常适合于通过Teukolsky或Regge-Wheeler-Zerilli形式化的度量扰动的时域重建问题。现代CPU和GPU架构上的并行实现进行了讨论。

英文摘要:

Numerical simulations of extereme mass ratio inspirals, the mostimportant sources for the LISA detector, face several computational challenges. We present a new approach to evolving partial differential equations occurring in black hole perturbation theory and calculations of the self-force acting on point particles orbiting supermassive black holes. Such equations are distributionally sourced, and standard numerical methods, such as finite-difference or spectral methods, face difficulties associated with approximating discontinuous functions. However, in the self-force problem we typically have access to full a-priori information about the local structure of the discontinuity at the particle. Using this information, we show that high-order accuracy can be recovered by adding to the Lagrange interpolation formula a linear combination of certain jump amplitudes. We construct discontinuous spatial and temporal discretizations by operating on the corrected Lagrange formula. In a method-of-lines framework, this provides a simple and efficient method of solving time-dependent partial differential equations, without loss of accuracy near moving singularities or discontinuities. This method is well-suited for the problem of time-domain reconstruction of the metric perturbation via the Teukolsky or Regge-Wheeler-Zerilli formalisms. Parallel implementations on modern CPU and GPU architectures are discussed.

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。

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