2019
DOI: 10.1103/physrevd.100.044003
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Improving the NRTidal model for binary neutron star systems

Abstract: Accurate and fast gravitational waveform (GW) models are essential to extract information about the properties of compact binary systems that generate GWs. Building on previous work, we present an extension of the NRTidal model for binary neutron star (BNS) waveforms. The upgrades are: (i) a new closed-form expression for the tidal contribution to the GW phase which includes further analytical knowledge and is calibrated to more accurate numerical relativity data than previously available; (ii) a tidal correct… Show more

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Cited by 212 publications
(212 citation statements)
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References 109 publications
(234 reference statements)
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“…However, efforts are underway to further reduce waveform systematics, see e.g. [111][112][113][114][115]; such improvements will be essential for realizing the potential of BNS inspirals as probes of distinct features on the QCD phase diagram, such as the study presented here.…”
Section: Discussionmentioning
confidence: 99%
“…However, efforts are underway to further reduce waveform systematics, see e.g. [111][112][113][114][115]; such improvements will be essential for realizing the potential of BNS inspirals as probes of distinct features on the QCD phase diagram, such as the study presented here.…”
Section: Discussionmentioning
confidence: 99%
“…To compute the GW phase ϕðfÞ, we use the point-mass baseline SEOBNR_BBH model and apply tidal corrections from the NRTidal framework, as in Ref. [59]. As shown in Ref.…”
Section: Parameterization Of the Nsbh Waveform Modelmentioning
confidence: 99%
“…[52][53][54][55][56][57]. References [58,59] developed a flexible technique that starts from a point-mass BBH baseline waveform and applies tidal-phase modifications by fitting a Padé-resummed post-Newtonian (PN)-based ansatz to the phasing extracted from numerical-relativity (NR) simulations (henceforth, we refer to this as the NRTidal approach). These corrections have been applied to BBH baselines produced within the EOBNR framework [60] and within the inspiral-merger-ringdown phenomenological (IMRPhenom) approach [61,62].…”
mentioning
confidence: 99%
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