Bayesian parameter constraints for neutron star masses and radii using X-ray timing observations of accretion-powered millisecond pulsars
T. Salmi, J. N\"attil\"a, and J. Poutanen

TL;DR
This paper introduces a Bayesian approach using X-ray pulse profiles to accurately constrain neutron star masses and radii, incorporating relativistic effects and spectral modeling, with promising results from synthetic and real data.
Contribution
The paper presents a novel Bayesian method combining pulse profile modeling and spectral analysis to constrain neutron star parameters, including the use of MCMC sampling and relativistic corrections.
Findings
Method accurately reproduces synthetic data parameters.
Constraints on neutron star radius are precise if mass is known.
Future polarization data can further improve constraints.
Abstract
We present a Bayesian method to constrain the masses and radii of neutron stars (NSs) using the information encoded in the X-ray pulse profiles of accreting millisecond pulsars. We model the shape of the pulses using "oblate Schwarzschild" approximation, which takes into account the deformed shape of the star together with the special and general relativistic corrections to the photon trajectories and angles. The spectrum of the radiation is obtained from an empirical model of Comptonization in a hot slab in which a fraction of seed blackbody photons is scattered into a power-law component. By using an affine-invariant Markov chain Monte Carlo ensemble sampling method, we obtain posterior probability distributions for the different model parameters, especially for the mass and the radius. To test the robustness of our method, we first analyzed self-generated synthetic data with known…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
