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arXiv 2206.04085gr-qc
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偏心轨道非自旋极质量比旋进到9 PN和$e^{16}$的自旋进动不变量的后牛顿展开

Post-Newtonian expansion of the spin-precession invariant for eccentric-orbit non-spinning extreme-mass-ratio inspirals to 9PN and $e^{16}$

Christopher Munna, Charles R. Evans

摘要:

我们计算了偏心轨道极端质量比的旋进不变量$ψ$的高阶后牛顿(PN)展开的偏心率依赖与史瓦西小学。该系列计算在一阶黑洞微扰理论通过直接解析展开的解决方案在Regge-Wheeler-Zerilli形式主义,使用的代码写在\textsc{Mathematica}。通过Mano-Suzuki-Takasugi(MST)解析函数展开形式主义的Regge-Wheeler方程的解决方案,找到了具有小值$l$的模式。通过对Regge-Wheeler方程进行PN展开,得到了大的$l$解.先前的工作已经给出了$ψ$到9.5PN阶和到$e^2$阶(即,近圆形轨道极限)。我们计算了偏心率对9 PN的膨胀,但对$e^{16}$的膨胀。它证明了有可能找到几项具有封闭形式的表达式,所有这些都与PN展开中的对数项相关联。我们还比较了我们的PN扩展到以前的数值计算$ψ$在近轨道的数值评估,以评估其收敛半径。我们发现,该系列是不是迅速收敛的一个红移不变的$r \simeq 10M$,但仍然产生$\sim 1\%$的精度偏心$e \lesssim 0.25$。

英文摘要:

We calculate the eccentricity dependence of the high-order post-Newtonian (PN) expansion of the spin-precession invariant $ψ$ for eccentric-orbit extreme-mass-ratio inspirals with a Schwarzschild primary. The series is calculated in first-order black hole perturbation theory through direct analytic expansion of solutions in the Regge-Wheeler-Zerilli formalism, using a code written in \textsc{Mathematica}. Modes with small values of $l$ are found via the Mano-Suzuki-Takasugi (MST) analytic function expansion formalism for solutions to the Regge-Wheeler equation. Large-$l$ solutions are found by applying a PN expansion ansatz to the Regge-Wheeler equation. Previous work has given $ψ$ to 9.5PN order and to order $e^2$ (i.e., the near circular orbit limit). We calculate the expansion to 9PN but to $e^{16}$ in eccentricity. It proves possible to find a few terms that have closed-form expressions, all of which are associated with logarithmic terms in the PN expansion. We also compare the numerical evaluation of our PN expansion to prior numerical calculations of $ψ$ in close orbits to assess its radius of convergence. We find that the series is not as rapidly convergent as the one for the redshift invariant at $r \simeq 10M$ but still yielding $\sim 1\%$ accuracy for eccentricities $e \lesssim 0.25$.

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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