Neutron Star Mass-Radius Constraints using Evolutionary Optimization
A. L. Stevens, J. D. Fiege, D. A. Leahy, S. M. Morsink

TL;DR
This paper demonstrates how evolutionary optimization algorithms can accurately fit neutron star pulse profiles to constrain their mass and radius, aiding in understanding the dense matter equation of state.
Contribution
It introduces an evolutionary optimization approach for fitting neutron star pulse profiles, improving parameter recovery accuracy and assessing uncertainties in mass and radius estimates.
Findings
Projected velocity can be determined within 3% accuracy.
Mass and radius can be estimated within 5% accuracy for certain conditions.
Parameter uncertainties depend on observer inclination and spot co-latitude.
Abstract
The equation of state of cold supra-nuclear-density matter, such as in neutron stars, is an open question in astrophysics. A promising method for constraining the neutron star equation of state is modelling pulse profiles of thermonuclear X-ray burst oscillations from hotspots on accreting neutron stars. The pulse profiles, constructed using spherical and oblate neutron star models, are comparable to what would be observed by a next-generation X-ray timing instrument like ASTROSAT, NICER, or LOFT. In this paper, we showcase the use of an evolutionary optimization algorithm to fit pulse profiles to determine the best-fit masses and radii. By fitting synthetic data, we assess how well the optimization algorithm can recover the input parameters. Multiple Poisson realizations of the synthetic pulse profiles, constructed with 1.6 million counts and no background, were fitted with the Ferret…
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