Inferring the equation of state from neutron star observables via machine learning
We have conducted an extensive study using a diverse set of equations of state (EoSs) to uncover strong relationships between neutron star (NS) observables and the underlying EoS parameters using symbolic regression method. These EoS models, derived from a mix of agnostic and physics-based approaches, considered neutron stars composed of nucleons, hyperons, and other exotic degrees of freedom in beta equilibrium. The maximum mass of a NS is found to be strongly correlated with the pressure and baryon density at an energy density of approximately 800 MeV.fm −3 . We have also demonstrated that the EoS can be expressed as a function of radius and tidal deformability within the NS mass range 1-2 M ⊙ . These insights offer a promising and efficient framework to decode the dense matter EoS directly from the accurate knowledge of NS observables.
Authors
- Tuhin Malik (ORCID: https://orcid.org/0000-0003-2633-5821)
- Helena Pais (ORCID: https://orcid.org/0000-0001-7247-1950)
- N. K. Patra (ORCID: https://orcid.org/0000-0003-0103-5590)
- Constança Providência (ORCID: https://orcid.org/0000-0001-6464-8023)
- B. K. Agrawal (ORCID: https://orcid.org/0000-0001-5032-9435)
- Kai Zhou (ORCID: https://orcid.org/0000-0001-9859-1758)
Institutions
- Saha Institute of Nuclear Physics (IN)
- Homi Bhabha National Institute (IN)
- Frankfurt Institute for Advanced Studies (DE)
- Chinese University of Hong Kong, Shenzhen (CN)
- Birla Institute of Technology and Science, Pilani - Goa Campus (IN)
- University of Coimbra (PT)
Publication Details
- Journal
- Physics Letters B
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.physletb.2025.139470
- Citations
- 6
- Primary Topic
- Pulsars and Gravitational Waves Research
- Type
- article
- Field-Weighted Citation Impact
- 6.93
Funders
- Department of Science and Technology, Ministry of Science and Technology, India
- Science and Engineering Research Board
- Fundação para a Ciência e a Tecnologia