2008
DOI: 10.1103/physrevd.77.044011
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Measuring eccentricity in binary black-hole initial data

Abstract: Initial data for evolving black-hole binaries can be constructed via many techniques, and can represent a wide range of physical scenarios. However, because of the way that different schemes parameterize the physical aspects of a configuration, it is not alway clear what a given set of initial data actually represents. This is especially important for quasiequilibrium data constructed using the conformal thin-sandwich approach. Most initial-data studies have focused on identifying data sets that represent bina… Show more

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Cited by 7 publications
(8 citation statements)
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References 40 publications
(52 reference statements)
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“…In Ref. [65] these same PN equations have been used to study truly eccentric black hole binary initial data, and to point out some interesting features of the resulting effective potentials.…”
Section: B Mora-will Parametrizationmentioning
confidence: 99%
See 1 more Smart Citation
“…In Ref. [65] these same PN equations have been used to study truly eccentric black hole binary initial data, and to point out some interesting features of the resulting effective potentials.…”
Section: B Mora-will Parametrizationmentioning
confidence: 99%
“…First, we determine a quasi-circular configuration using the 3PN accurate relation (65) of Ref. [16], which provides the initial linear momentum P/M for given black hole masses M 1 and M 2 and separation D/M .…”
Section: A Sequence Of Initial Datamentioning
confidence: 99%
“…With the exception of a few papers (e.g. [44,45,46,47,48]), simulations of BBH mergers thus far have focused on circular orbits. Nevertheless, in Appendix E, we will explain the extension of our formalism to non-circular (eccentric) orbits.…”
Section: A Preliminariesmentioning
confidence: 99%
“…This makes it important to specify the validity regimes of these definitions. One can also define eccentricity based only on black-hole initial data, without the need to perform evolutions [47].…”
Section: Introductionmentioning
confidence: 99%