Modern tools for computing neutron star properties
Wolfgang Kastaun, Frank Ohme

TL;DR
This paper introduces a comprehensive Python library for calculating neutron star properties from various equations of state, addressing previous software limitations and including novel formulations for phase transitions and applications to gravitational wave data analysis.
Contribution
The authors provide a complete, user-friendly Python toolkit for neutron star property calculations, including new methods for phase transition EOS and applications to gravitational wave research.
Findings
Validated universal relations for neutron star properties
Demonstrated multiple stable branches in parametrized EOS
Explored stability of dark matter orbits inside neutron stars
Abstract
Astronomical observations place increasingly tighter and more diverse constraints on the properties of neutron stars (NS). Examples include observations of radio or gamma-ray pulsars, accreting neutron stars and x-ray bursts, magnetar giant flares, and recently, the gravitational waves (GW) from coalescing binary neutron stars. Computing NS properties for a given EOS, such as mass, radius, moment of inertia, tidal deformability, and innermost stable circular orbits (ISCO), is therefore an important task. This task is unnecessarily difficult because relevant formulas are scattered throughout the literature and publicly available software tools are far from being complete and easy to use. Further, naive implementations are unreliable in numerical corner cases, most notably when using equations of state (EOS) with phase transitions. To improve the situation, we provide a public library for…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Geophysics and Sensor Technology
