This research proposes a framework to incorporate magnetic field effects into neutron star equation of state inference using physics-informed machine learning, addressing degeneracy, uncertainty quantification, and computational challenges.
Key findings
Neutron stars have the strongest magnetic fields in the observable universe.
Magnetic fields alter neutron star structure through pressure anisotropy and microscopic EoS modification.
A multi-fidelity Bayesian inference architecture is proposed to constrain the dense matter EoS and magnetic field configuration.
The framework addresses challenges in EoS stiffness degeneracy, uncertainty quantification, and computational tractability.
Limitations & open questions
The framework's validation is through synthetic data and current observational constraints.