The diverse morphology of gravitational wave signals from merging neutron-star white-dwarf binaries

TL;DR

This paper explores the complex and diverse gravitational wave signals emitted by neutron star-white dwarf binaries, revealing multiple evolutionary pathways and providing models for improved detection and analysis.

Contribution

It introduces a comprehensive model of NSWD binary evolution across various parameters, highlighting the diverse GW signal morphologies and their diagnostic potential.

Findings

Distinct boundaries in the mass-mass diagram determine binary fate.

Multiple evolutionary pathways exist for NSWD binaries.

Diverse GW waveforms can be used to diagnose system configurations.

Abstract

In sufficiently compact neutron star-white dwarf (NSWD) binary systems, orbital decay means the white dwarf eventually fills its shrinking Roche lobe, initiating a phase of mass transfer. The exchange of angular momentum-both internal and external-plays a critical role in determining the binary's evolutionary outcome. For neutron stars with relatively low magnetic fields and spin frequencies, whether the orbital separation continues to shrink depends on the interplay between gravitational wave (GW) radiation and mass transfer dynamics. We compute the orbital evolution of NSWD binaries across a broad parameter space, incorporating four key variables. Our results reveal distinct boundaries in the NS-WD mass-mass diagram: binaries with white dwarf masses above these thresholds undergo rapid orbital decay and direct coalescence. The dependence of these boundaries on system parameters indicates that Roche-lobe-filling NSWD binaries can follow multiple evolutionary pathways -- a phenomenon we refer to as branched or polymorphic evolution. NSWD binary systems emit strong and diverse GW signals, many of which would be detectable by space-based GW observatories. The morphology of the evolving GW waveform provides a direct diagnostic for the NSWD binary configuration, including any contribution from an accretion disk. Our models can provide critical waveform templates for identifying merging binary signals in real-time GW data.