EPJ Web Conf.
Volume 258, 2022A Virtual Tribute to Quark Confinement and the Hadron Spectrum (vConf21)
|Number of page(s)||8|
|Section||Parallel Presentations Track F|
|Published online||11 January 2022|
Inferring the dense nuclear matter equation of state with neutron star tides
1 Dipartimento di Fisica, “Sapienza” Università di Roma & Sezione INFN Roma1, Piazzale Aldo Moro 2, 00185 Roma, Italy
2 Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
3 School of Mathematics and STAG Research Centre, University of Southampton, Southampton SO17 1BJ, UK
4 Via Greve 10, 00146 Roma, Italy
* e-mail: firstname.lastname@example.org
Published online: 11 January 2022
During the late stages of a neutron star binary inspiral finite-size effects come into play, with the tidal deformability of the supranuclear density matter leaving an imprint on the gravitational-wave signal. As demonstrated in the case of GW170817—the first direct detection of gravitational waves from a neutron star binary—this can lead to strong constraints on the neutron star equation of state. As detectors become more sensitive, effects which may have a smaller influence on the neutron star tidal deformability need to be taken into consideration. Dynamical effects, such as oscillation mode resonances triggered by the orbital motion, have been shown to contribute to the tidal deformability, especially close to the neutron star coalesence, where current detectors are most sensitive. We calculate the contribution of the various stellar oscillation modes to the tidal deformability and demonstrate the (anticipated) dominance of the fundamental mode. We show what the impact of the matter composition is on the tidal deformability, as well as the changes induced by more realistic additions to the problem, e.g. the presence of an elastic crust. Finally, based on this formulation, we develop a simple phenomenological model describing the effective tidal deformability of neutron stars and show that it provides a surprisingly accurate representation of the dynamical tide close to merger.
© The Authors, published by EDP Sciences, 2022
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