Robust Inference of Neutron-star Parameters from Thermonuclear Burst Observations

Galloway, Duncan K.; Goodwin, Adelle; Johnston, Zac; He, Chong-Chong

Australia, Sweden, United States

Abstract

Thermonuclear (type-I) bursts arise from unstable ignition of accumulated fuel on the surface of neutron stars in low-mass X-ray binaries. Measurements of burst properties in principle enable observers to infer the properties of the host neutron star and mass donors, but a number of confounding astrophysical effects contribute to systematic uncertainties. Here we describe some commonly used approaches for determining system parameters, including composition of the burst fuel, and introduce a new suite of software tools, CONCORD, intended to fully account for astrophysical uncertainties. The comparison of observed burst properties with the predictions of numerical models is a complementary method of constraining host properties, and the tools presented here are intended to make comprehensive model-observation comparisons straightforward. When combined with the extensive samples of burst observations accumulated by X-ray observatories, these software tools will provide a step change in the amount of information that can be inferred about typical burst sources.

2022 The Astrophysical Journal Supplement Series
INTEGRAL 6