Precise and accurate neutron star radius measurements with next-generation gravitational wave detectors
Gravitational waves from merging binary neutron stars carry characteristic information about their astrophysical properties, including component masses and tidal deformabilities, that are needed to infer their radii. In this study, we use Bayesian inference to quantify the precision with which radius can inferred with upgrades in the current gravitational wave detectors and next-generation observatories such as the Einstein Telescope and Cosmic Explorer. We assign evidences for a set of plausible equations of state, which are then used as weights to obtain radius posteriors. We find that prior choices and the loudness of observed signals limit the precision and accuracy of inferred radii by current detectors. In contrast, next-generation observatories can resolve the radius precisely and accurately, across most of the mass range to within $\ensuremath{\lesssim}5%$ for both soft and stiff equations of state. We also explore how the choice of neutron star mass prior can influence the inferred masses and, in turn, potentially affect radius measurements. However, we find that using an astrophysically motivated prior does not significantly impact the radius measurement of an individual neutron star.
Authors
- Ish Gupta (ORCID: https://orcid.org/0000-0001-6932-8715)
- Rossella Gamba (ORCID: https://orcid.org/0000-0001-7239-0659)
- Koustav Chandra (ORCID: https://orcid.org/0000-0003-4750-5551)
- B. S. Sathyaprakash (ORCID: https://orcid.org/0000-0003-3845-7586)
- Sanika Khadkikar (ORCID: https://orcid.org/0000-0001-7389-8825)
- Rahul Kashyap (ORCID: https://orcid.org/0000-0002-5700-282X)
Institutions
- Pennsylvania State University (US)
- Indian Institute of Technology Bombay (IN)
- University of California, Berkeley (US)
Publication Details
- Journal
- Physical review. D/Physical review. D.
- Published
- 2025-09-10
- DOI
- https://doi.org/10.1103/h6rl-mcjm
- Citations
- 2
- Primary Topic
- Pulsars and Gravitational Waves Research
- Type
- article
- Field-Weighted Citation Impact
- 2.31