4 papers
Bayesian Inference of Neutron Star Properties in Gravity Using NICER Observations
Sneha Pradhan, N. K. Patra, Kai Zhou +1
In this work, we investigate neutron stars (NSs) in the strong field regime within the framework of symmetric teleparallel gravity, considering three representative models:…
Learning the relations between neutron star and nuclear matter properties with symbolic regression
N. K. Patra, Tuhin Malik, Kai Zhou +1
The equation of state (EOS) of dense matter in neutron stars (NSs) remains uncertain, particularly at supra-nuclear densities where complex nuclear interactions and the potential p…
Dense Matter in Neutron Stars with eXTP
Ang Li, Anna L. Watts, Guobao Zhang +82
In this White Paper, we present the potential of the enhanced X-ray Timing and Polarimetry (eXTP) mission to constrain the equation of state of dense matter in neutron stars, explo…
Inferring the Equation of State from Neutron Star Observables via Machine Learning
N. K. Patra, Tuhin Malik, Helena Pais +3
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 p…