2014
DOI: 10.1103/physrevd.90.104031
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Lorenz gauge gravitational self-force calculations of eccentric binaries using a frequency domain procedure

Abstract: We present an algorithm for calculating the metric perturbations and gravitational self-force for extreme-mass-ratio inspirals (EMRIs) with eccentric orbits. The massive black hole is taken to be Schwarzschild and metric perturbations are computed in Lorenz gauge. The perturbation equations are solved as coupled systems of ordinary differential equations in the frequency domain. Accurate local behavior of the metric is attained through use of the method of extended homogeneous solutions and mode-sum regulariza… Show more

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Cited by 42 publications
(81 citation statements)
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References 98 publications
(207 reference statements)
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“…No published numerical data exist to allow comparison beyond p ¼ 20. (Reference [56] gives results for e ≤ 0.7 and p ≤ 90, but these are for the GSF components, not for hUi gsf . )…”
Section: B Numerical Resultsmentioning
confidence: 99%
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“…No published numerical data exist to allow comparison beyond p ¼ 20. (Reference [56] gives results for e ≤ 0.7 and p ≤ 90, but these are for the GSF components, not for hUi gsf . )…”
Section: B Numerical Resultsmentioning
confidence: 99%
“…[56], and against yet unpublished redshift data calculated by van de Meent [57] (using a very different frequencydomain method based on a semianalytical treatment of Teukolsky's equation [58]). These comparisons strongly favor the frequency-domain data in the table.…”
Section: B Numerical Resultsmentioning
confidence: 99%
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“…At the next order, the corrections to the equations of motion due to the gravitational field generated by the secondary can be collected into an effective force term perturbing the geodesic equation, the gravitational self-force (GSF). Since this force is small the evolutionary timescale (t insp = O(η −1 )) of an EMRI is much larger than the orbital timescale arXiv:1711.09607v1 [gr-qc] 27 Nov 2017 (t orb = O(1)). This hierarchy of timescales can be exploited to simplify the evolution of EMRIs by using a two timescale expansion.…”
Section: Introductionmentioning
confidence: 99%