Binary neutron star merger offsets from their host galaxies

Context. The mergers of binary neutron stars (BNSs) and neutron star–black hole (NSBH) binaries have long been linked to short-duration gamma-ray bursts (SGRBs). However, despite their stellar progenitors, SGRBs are often found outside the stellar light of the host galaxy. This is commonly attributed to supernova kicks, which displace the SGRB progenitors from the original stellar population. Aims. Our goal is to use stellar population synthesis models to reproduce and interpret the observed offsets of a statistical sample of SGRBs, using realistic galactic models based on the observed host properties. Methods. We derived the host galaxy potentials from the observed properties on a case-by-case basis and simulated the galactic trajectories of synthetic BNSs and NSBHs from the BPASS code using three different kick prescriptions. We compared predicted and observed offsets to investigate the impact of velocity kicks, host galaxy types, and host association criteria. Results. The locations of the SGRB population are consistent with the expectations of kicked BNS or BHNS progenitors, implying that such mergers are the dominant (and perhaps the only) progenitor system. Predictions for NSBHs provide a significantly worse fit compared to BNSs, while we find no significant difference when comparing different kick prescriptions. For late-type hosts, we find the best agreement when including hosts with a probability of chance alignment, P ch , of up to 20%, while lower P ch thresholds lead us to overestimate SGRB offsets. We argue that P ch is biased against viable hosts at the largest offsets and suggest the use of less conservative P ch thresholds for late-type hosts. For early-type hosts, the predictions underestimate SGRB offsets in a few cases regardless of the P ch threshold applied. We argue that this is likely due to the models missing galaxy evolution or spurious host associations.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-06-11
DOI
https://doi.org/10.1051/0004-6361/202555058
Citations
3
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
3.46

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article

Binary neutron star merger offsets from their host galaxies

Anya E. Nugent, Nicola Gaspari, A. J. Levan, Ashley A. Chrimes
3 citations
Astronomy and Astrophysics
Gamma-ray bursts and supernovae
3.46
article

Binary neutron star merger offsets from their host galaxies

Anya E. Nugent, Nicola Gaspari, A. J. Levan, Ashley A. Chrimes
article en
3 citations

Abstract

Context. The mergers of binary neutron stars (BNSs) and neutron star–black hole (NSBH) binaries have long been linked to short-duration gamma-ray bursts (SGRBs). However, despite their stellar progenitors, SGRBs are often found outside the stellar light of the host galaxy. This is commonly attributed to supernova kicks, which displace the SGRB progenitors from the original stellar population. Aims. Our goal is to use stellar population synthesis models to reproduce and interpret the observed offsets of a statistical sample of SGRBs, using realistic galactic models based on the observed host properties. Methods. We derived the host galaxy potentials from the observed properties on a case-by-case basis and simulated the galactic trajectories of synthetic BNSs and NSBHs from the BPASS code using three different kick prescriptions. We compared predicted and observed offsets to investigate the impact of velocity kicks, host galaxy types, and host association criteria. Results. The locations of the SGRB population are consistent with the expectations of kicked BNS or BHNS progenitors, implying that such mergers are the dominant (and perhaps the only) progenitor system. Predictions for NSBHs provide a significantly worse fit compared to BNSs, while we find no significant difference when comparing different kick prescriptions. For late-type hosts, we find the best agreement when including hosts with a probability of chance alignment, P ch , of up to 20%, while lower P ch thresholds lead us to overestimate SGRB offsets. We argue that P ch is biased against viable hosts at the largest offsets and suggest the use of less conservative P ch thresholds for late-type hosts. For early-type hosts, the predictions underestimate SGRB offsets in a few cases regardless of the P ch threshold applied. We argue that this is likely due to the models missing galaxy evolution or spurious host associations.

Astronomy and AstrophysicsVol. 699
Northwestern University (US), Radboud University Nijmegen (NL), University of Warwick (GB), Center for Astrophysics Harvard & Smithsonian (US), European Space Research and Technology Centre (NL)
European Space Agency, European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 8%
Gamma-ray bursts and supernovae
3.46
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