Improving the NRTidal model for binary neutron star systems
By Tim Dietrich, A. Samajdar, Sebastian Khan, N. Johnson-McDaniel, R. Dudi, Wolfgang Tichy. Physical Review D, 2019
133 citations recorded by the source corpus.
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 correction to the GW amplitude; (iii) an extension of the spin-sector incorporating equation-of-state-dependent finite size effects at quadrupolar and octupolar order; these appear in the spin-spin tail terms and cubic-in-spin terms, both at 3.5PN. We add the new description to the precessing binary black hole waveform model IMRPhenomPv2 to obtain a frequency-domain precessing binary neutron star model. In addition, we extend the SEOBNRv4_ROM and IMRPhenomD aligned-spin binary black hole waveform models with the improved tidal phase corrections. Focusing on the new IMRPhenomPv2_NRTidalv2 approximant, we test the model by comparing with numerical relativity waveforms as well as hybrid waveforms combining tidal effective-one-body and numerical relativity data. We also check consistency against a tidal effective-one-body model across large regions of the BNS parameter space.
Subfields: Astronomy and Astrophysics, Oceanography
View Paper: https://www.semanticscholar.org/paper/7a6b274665b207535cc38ed9c8c87aabef3a16b8
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Citations in the corpus
- GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run (2020, background): “Both models contain a phenomenological description of the tidal effects tuned toNR simulations [224] and include corrections to the amplitude through inspiral, merger, and ringdown to account for a possibility of tidal disruption.”
- Bayesian inference for compact binary coalescences with bilby: validation and application to the first LIGO–Virgo gravitational-wave transient catalogue (2020, methodology): “(Abbott et al. 2019h) and a likelihood computed using the tidal waveform model IMRPhenomPv2NRTidal (Dietrich et al. 2019).”