Neutron star – white dwarf binaries: probing formation pathways and natal kicks with LISA

Author:

Korol Valeriya12ORCID,Igoshev Andrei P3ORCID,Toonen Silvia4,Karnesis Nikolaos5,Moore Christopher J2ORCID,Finch Eliot62ORCID,Klein Antoine2

Affiliation:

1. Max-Planck-Institut für Astrophysik , Karl-Schwarzschild-Straße 1, 85748 Garching , Germany

2. Institute for Gravitational Wave Astronomy & School of Physics and Astronomy, University of Birmingham , Birmingham B15 2TT , UK

3. Department of Applied Mathematics, University of Leeds , LS2 9JT Leeds , UK

4. Anton Pannekoek Institute for Astronomy, University of Amsterdam , NL-1090 GE Amsterdam , the Netherlands

5. Department of Physics, Aristotle University of Thessaloniki , Thessaloniki 54124 , Greece

6. TAPIR, California Institute of Technology , Pasadena, CA 91125 , USA

Abstract

ABSTRACT Neutron star–white dwarf (NS + WD) binaries offer a unique opportunity for studying NS-specific phenomena with gravitational waves. In this paper, we employ the binary population synthesis technique to study the Galactic population of NS + WD binaries with the future Laser Interferometer Space Antenna (LISA). We anticipate approximately $\mathcal {O}(10^2)$ detectable NS + WD binaries by LISA, encompassing both circular and eccentric ones formed via different pathways. Despite the challenge of distinguishing these binaries from more prevalent double white dwarfs (especially at frequencies below 2 mHz), we show that their eccentricity and chirp mass distributions may provide avenues to explore the NS natal kicks and common envelope evolution. Additionally, we investigate the spatial distribution of detectable NS + WD binaries relative to the Galactic plane and discuss prospects for identifying electromagnetic counterparts at radio wavelengths. Our results emphasise LISA’s capability to detect and characterize NS + WD binaries and to offer insights into the properties of the underlying population. Our conclusions carry significant implications for shaping LISA data analysis strategies and future data interpretation.

Publisher

Oxford University Press (OUP)

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