6 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…
Bayesian Analysis of the Neutron Star Equation of State and Model Comparison: Insights from PSR J0437+4715, PSR J0614+3329, and Other Multi-Physics Data
Sk Md Adil Imam, N. K. Patra
We perform a comprehensive Bayesian analysis to constrain the neutron star (NS) equation of state (EoS) using a wide range of terrestrial and astrophysical data. The terrestrial in…
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…
Calibrating global behaviour of equation of state by combining nuclear and astrophysics inputs in a machine learning approach
Sk Md Adil Imam, Prafulla Saxena, Tuhin Malik +2
We implemented symbolic regression techniques to identify suitable analytical functions that map various properties of neutron stars (NSs), obtained by solving the Tolman-Oppenheim…
Bayesian and Principal Component Analyses of Neutron Star Properties
N. K. Patra
A Bayesian method is used in this extensive work to generate a large set of minimally constrained equations of state (EOSs) for matters in neutron stars (NS). These EOSs are analyz…