A Bayesian approach for torque modelling of BeXRB pulsars with application to super-Eddington accretors
A. S. Karaferias, G. Vasilopoulos, M. Petropoulou, P. A. Jenke, C. A., Wilson-Hodge, C. Malacaria

TL;DR
This paper introduces a Bayesian nested sampling method to estimate accretion torque and orbital parameters in X-ray binaries, applied to systems during super-Eddington outbursts, revealing deviations from standard models at high luminosities.
Contribution
It develops a novel Bayesian approach for parameter estimation in accretion torque models, especially for super-Eddington accretors, and applies it to multiple Be X-ray binaries and a ULX.
Findings
Identifies the more suitable torque model for each studied system.
Shows that magnetospheric and Alfvén radii are not proportional at super-Eddington luminosities.
Suggests that distance estimates influence neutron star property inferences.
Abstract
In this study we present a method to estimate posterior distributions for standard accretion torque model parameters and binary orbital parameters for X-ray binaries using a nested sampling algorithm for Bayesian Parameter Estimation. We study the spin evolution of two Be X-ray binary systems in the Magellanic Clouds, RX J0520.5-6932 and RX J0209-7427, during major outbursts, in which they surpassed the Eddington-limit. Moreover, we apply our method to the recently discovered Swift J0243.6+6124; the only known Galactic pulsating ultra-luminous X-ray source. This is an excellent candidate for studying the disc evolution at super-Eddington accretion rates, for its luminosity span several orders of magnitude during its outburst, with a maximum that exceeded the Eddington limit by a factor of . Our method, when applied to RX J0520.5-6932 and RX J0209-7427, is able to…
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