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arXiv 2602.10089gr-qchep-th
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利用临界轨道的极端质量比散射中的重求和能量损失

Resummed energy loss in extreme-mass-ratio scattering using critical orbits

University of Southampton(南安普顿大学);Queen Mary University of London(伦敦玛丽女王大学);Max Planck Institute for Gravitational Physics (Albert Einstein Institute)(马克斯·普朗克引力物理研究所(爱因斯坦研究所));University College Dublin(都柏林大学学院)

Leor Barack, Riccardo Gonzo, Benjamin Leather, Oliver Long, Niels Warburton

AI总结:

提出一种重求和方案,结合后牛顿项,利用散射与坠落分界线附近测地线辐射能量的发散形式,推导极端质量比散射中引力波总能量的通用插值公式,并通过黑洞微扰理论数值验证。

摘要:

受近期连接黑洞双星动力学弱场与强场描述的努力启发,我们发展了一种后闵可夫斯基辐射可观测量的重求和方案,用于极端质量比散射,并辅以后牛顿项。具体而言,我们推导了在大黑洞视界和无穷远处引力波总辐射能量的通用插值公式,该公式对小质量比成立至领头阶。我们利用黑洞微扰理论直接计算的数值结果测试了公式。我们方法的核心思想是利用参数空间中散射与坠落分界线附近测地线辐射能量的已知发散形式作为强场诊断。该发散的主导对数项可以用沿构成分界线的不稳定圆测地线计算的瞬时能量通量表示,这些通量我们通过高精度数值数据的插值获得。同样的思想可应用于束缚轨道辐射可观测值,通过非束缚到束缚映射或束缚轨道后牛顿表达式的直接重求和。

英文摘要:

Motivated by recent efforts to bridge between weak-field and strong-field descriptions of black-hole binary dynamics, we develop a resummation scheme for post-Minkowskian radiative observables in extreme-mass-ratio scattering, augmented with post-Newtonian terms. Specifically, we derive universal interpolation formulas for the total energy emitted in gravitational waves out to infinity and down the event horizon of the large black hole, valid to leading order in the small mass ratio. We test our formulas using numerical results from direct calculations in black hole perturbation theory. The central idea of our approach is to utilize as a strong-field diagnostic the known form of divergence in the radiated energy along geodesics near the parameter-space separatrix between scattering and plunge. The dominant, logarithmic term of this divergence can be expressed in terms of instantaneous energy fluxes calculated along the unstable circular geodesics that form the separatrix, fluxes that we obtain using interpolation of highly accurate numerical data. The same idea could be applied to bound-orbit radiative observables via either unbound-to-bound mapping or a direct resummation of bound-orbit post-Newtonian expressions.

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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