2021
DOI: 10.1103/physrevd.103.064022
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Eccentric binary black hole surrogate models for the gravitational waveform and remnant properties: Comparable mass, nonspinning case

Abstract: We develop new strategies to build numerical relativity surrogate models for eccentric binary black hole systems, which are expected to play an increasingly important role in current and future gravitational-wave detectors. We introduce a new surrogate waveform model, NRSur2dq1Ecc, using 47 nonspinning, equalmass waveforms with eccentricities up to 0.2 when measured at a reference time of 5500M before merger. This is the first waveform model that is directly trained on eccentric numerical relativity simulation… Show more

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Cited by 74 publications
(31 citation statements)
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“…The approximate eccentricity values of our system were the same as in Refs. [55,63,66]. The value of the mean anomaly parametrized the waveform for t = t peak .…”
Section: Discussionmentioning
confidence: 99%
“…The approximate eccentricity values of our system were the same as in Refs. [55,63,66]. The value of the mean anomaly parametrized the waveform for t = t peak .…”
Section: Discussionmentioning
confidence: 99%
“…Numerical-relativity (NR) simulations for eccentric binary black holes (BBHs) were produced in Refs. [70,[101][102][103][104][105][106], but they are still limited to a small region of the binary's parameter space and do not cover the entire bandwidth of ground-based detectors (unless the binary total mass is larger than ∼ 70M [106]). Under the assumption that the binary circularizes before merger, inspiral-mergerringdown (IMR) (hybrid) waveforms, in time or frequencydomain, have been developed in Refs.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, NR surrogate models for equal-mass non-spinning eccentric binaries were built in Refs. [106] by directly interpolating NR simulations. Guided by comparisons with NR simulations, Ref.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Eccentric waveform model development is ongoing, and recent models are becoming efficient enough to perform parameter estimation directly (e.g., Chiaramello & Nagar 2020;Islam et al 2021;Yun et al 2021;Setyawati & Ohme 2021). While it is not computationally feasible to analyse tens of long-duration events with SEOBNRE, we anticipate that it will soon be possible to compute eccentric analysis of catalogues using new, inexpensive waveform models.…”
mentioning
confidence: 99%