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      Population Properties of Gravitational-wave Neutron Star–Black Hole Mergers

      , , , , ,
      The Astrophysical Journal
      American Astronomical Society

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          Abstract

          Over the course of the third observing run of the LIGO–Virgo–KAGRA Collaboration, several gravitational-wave (GW) neutron star–black hole (NSBH) candidates have been announced. By assuming that these candidates are real signals with astrophysical origins, we analyze the population properties of the mass and spin distributions for GW NSBH mergers. We find that the primary BH mass distribution of NSBH systems, whose shape is consistent with that inferred from the GW binary BH (BBH) primaries, can be well described as a power law with an index of α = 4.8 2.8 + 4.5 plus a high-mass Gaussian component peaking at 33 9 + 14 M . The NS mass spectrum could be shaped as a nearly flat distribution between ∼1.0 and 2.1 M . The constrained NS maximum mass agrees with that inferred from NSs in our Galaxy. If GW190814 and GW200210 are NSBH mergers, the posterior results of the NS maximum mass would be always larger than ∼2.5 M and significantly deviate from that inferred in Galactic NSs. The effective inspiral spin and effective precession spin of GW NSBH mergers are measured to potentially have near-zero distributions. The negligible spins for GW NSBH mergers imply that most events in the universe should be plunging events, which support the standard isolated formation channel of NSBH binaries. More NSBH mergers to be discovered in the fourth observing run would help to more precisely model the population properties of cosmological NSBH mergers.

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                Author and article information

                Contributors
                Journal
                The Astrophysical Journal
                ApJ
                American Astronomical Society
                0004-637X
                1538-4357
                April 06 2022
                April 01 2022
                April 06 2022
                April 01 2022
                : 928
                : 2
                : 167
                Article
                10.3847/1538-4357/ac540c
                44fa3b5c-4ac7-4934-999f-891f52222f15
                © 2022

                http://creativecommons.org/licenses/by/4.0/

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