Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks

Publication date

2023-06-15

Authors

Puecher, AnnaISNI 0000000524656888
Dietrich, Tim
Tsang, Ka Wa
Kalaghatgi, ChinmayISNI 0000000485008414
Roy, SoumenISNI 0000000526342209
Setyawati, Yoshinta
Van Den Broeck, ChrisISNI 0000000458470830

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Advisors

Supervisors

Document Type

Article
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other

Abstract

Gravitational waves provide us with an extraordinary tool to study the matter inside neutron stars. In particular, the postmerger signal probes an extreme temperature and density regime and will help reveal information about the equation of state of supranuclear-dense matter. Although current detectors are most sensitive to the signal emitted by binary neutron stars before the merger, the upgrades of existing detectors and the construction of the next generation of detectors will make postmerger detections feasible. For this purpose, we present a new analytical, frequency-domain model for the inspiral-merger-postmerger signal emitted by binary neutron star systems. The inspiral and merger parts of the signals are modeled with IMRPhenomD_NRTidalv2, and we describe the main emission peak of the postmerger with a three-parameter Lorentzian, using two different approaches: one in which the Lorentzian parameters are kept free, and one in which we model them via quasiuniversal relations. We test the performance of our new complete waveform model in parameter estimation analyses, studying simulated signals obtained both from our developed model and by injecting numerical relativity waveforms. We investigate the performance of different detector networks to determine the improvement that future detectors will bring to our analysis. We consider Advanced LIGO+ and Advanced Virgo+, KAGRA, and LIGO-India. We also study the possible impact of a detector with high sensitivity in the kilohertz band like NEMO, and finally we compare these results to the ones we obtain with third-generation detectors, the Einstein Telescope and the Cosmic Explorer.

Keywords

Bayesian-inference, Maximum mass, Remnant, Mergers, Search, Bilby, Nuclear and High Energy Physics

Citation

Puecher, A, Dietrich, T, Tsang, K W, Kalaghatgi, C, Roy, S, Setyawati, Y & Van Den Broeck, C 2023, 'Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks', Physical Review D, vol. 107, no. 12, 124009. https://doi.org/10.1103/PhysRevD.107.124009