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2022ApJS..263...30G - Astrophys. J., Suppl. Ser., 263, 30 (2022/December-0)

Robust Inference of Neutron-star Parameters from Thermonuclear Burst Observations.

GALLOWAY D.K., JOHNSTON Z., GOODWIN A. and HE C.-C.

Abstract (from CDS):

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.

Abstract Copyright: © 2022. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Neutron stars - Low-mass x-ray binary stars - X-ray bursts - Astronomy data analysis

Simbad objects: 6

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