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Upper limit set by causality on the tidal deformability of a neutron star
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abstract
A principal goal of gravitational-wave astronomy is to constrain the neutron star equation of state (EOS) by measuring the tidal deformability of neutron stars. The tidally induced departure of the waveform from that of point-particle (or spinless binary black hole (BBH)) increases with the stiffness of the EOS. We show that causality (the requirement that the speed of sound is less than the speed of light for a perfect fluid satisfying a one-parameter equation of state) places an upper bound on tidal deformability as a function of mass. Like the upper mass limit, the limit on deformabity is obtained by using an EOS with $v_{sound} = c$ for high densities and matching to a low density (candidate) EOS at a matching density of order nuclear saturation density. We use these results and those of [B.D. Lackey et al., Phys. Rev. D 89, 043009 (2014)] to estimate the resulting upper limit on the gravitational-wave phase shift of a black hole-neutron star (BHNS) binary relative to a BBH. Even for assumptions weak enough to allow an maximum mass of $4\ M_\odot$ (a match at nuclear saturation density to an unusually stiff low-density candidate EOS), the upper limit on dimensionless tidal deformability is stringent. It leads to a still more stringent estimated upper limit on the maximum tidally induced phase shift prior to merger. We comment in an appendix on the relation between causality, the condition $v_{sound} < c$, and the condition $dp/d\epsilon < 1$ for the effective EOS governing the equilibrium star.
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Cited by 2 Pith papers
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A symbolic-regression fit, k2(M, log10 Lambda), approximates neutron-star radii from gravitational-wave-only mass and tidal-deformability measurements to within a few hundred meters for the tested equations of state.
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Explainable autoencoder for neutron star dense matter parameter estimation
A physics-informed autoencoder with a latent space of neutron star macroscopic properties is demonstrated as a proof-of-concept for equation-of-state parameter estimation from mass, radius, and tidal deformability data.
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