PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 12, 2022Monthly Notices of the Royal Astronomical Society25 citations

Beyond the linear tide: impact of the non-linear tidal response of neutron stars on gravitational waveforms from binary inspirals

View Full Paper
HYHang YuNWNevin N. WeinbergPAPhil Arras

Key Points

Key points are not available for this paper at this time.

Abstract

ABSTRACT Tidal interactions in coalescing binary neutron stars modify the dynamics of the inspiral and hence imprint a signature on their gravitational wave (GW) signals in the form of an extra phase shift. We need accurate models for the tidal phase shift in order to constrain the supranuclear equation of state from observations. In previous studies, GW waveform models were typically constructed by treating the tide as a linear response to a perturbing tidal field. In this work, we incorporate non-linear corrections due to hydrodynamic three- and four-mode interactions and show how they can improve the accuracy and explanatory power of waveform models. We set up and numerically solve the coupled differential equations for the orbit and the modes and analytically derive solutions of the system’s equilibrium configuration. Our analytical solutions agree well with the numerical ones up to the merger and involve only algebraic relations, allowing for fast phase shift and waveform evaluations for different equations of state over a large parameter space. We find that, at Newtonian order, non-linear fluid effects can enhance the tidal phase shift by 1\, radian at a GW frequency of 1000 Hz, corresponding to a 10{\%}-20{\%} correction to the linear theory. The scale of the additional phase shift near the merger is consistent with the difference between numerical relativity and theoretical predictions that account only for the linear tide. Non-linear fluid effects are thus important when interpreting the results of numerical relativity and in the construction of waveform models for current and future GW detectors.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yu et al. (2022) studied this question.

synapsesocial.com/papers/6a1cbaaf566b67b7d585d741https://doi.org/10.1093/mnras/stac3614
Ask AI
Helpful
Bookmark
Share
View Full Paper