http://arxiv.org/abs/2103.02608
Mergers of black hole-neutron star (BHNS) binaries are expected to be observed by gravitational wave (GW) detectors in the coming years. Such observations will not only provide confirmation that these systems exist, but will also give unique insights into the death and lives of massive (binary) stars and their possible association with gamma-ray bursts, r-process enrichment, and kilonovae. Here we present binary population synthesis of isolated BHNS systems in order to predict their merger rate and characteristics for ground-based GW observatories. We present the results for 420 different model permutations that explore key uncertainties in our assumptions about massive binary star evolution (e.g., mass transfer, common-envelope evolution, supernovae), and in our assumptions for the metallicity-specific star formation rate density, and characterize their relative impacts on our predictions. We predict intrinsic local BHNS merger rates in the range $\mathcal{R}{\rm{m}}^0 \approx 4$-$830\,\rm{Gpc}^{-3}\,\rm{yr}^{-1}$ and detected rates in the range $\mathcal{R}{\rm{det}} \approx 1$-$180\, \rm{yr}^{-1}$ for a GW network consisting of LIGO, Virgo and KAGRA at design sensitivity. We find that the binary evolution and metallicity-specific star formation rate density each impact the predicted merger rates by order $\mathcal{O}(10)$. We also present predictions for the GW detected BHNS merger properties and find that all 420 model variations predict that $\lesssim 5\%$ of the BHNS mergers have BH masses $\gtrsim 18\,M_{\odot}$, total masses $\gtrsim 20\,M_{\odot}$, chirp masses $\gtrsim 5.5\,M_{\odot}$, mass ratios $\gtrsim 12$ or $\lesssim 2$. Moreover, we find that massive NSs $ > 2\,M_{\odot}$ are expected to be commonly detected in BHNS mergers in almost all our model variations. Finally, a wide range of $\sim$ 0%-70% of the BHNS mergers are predicted to eject mass during the merger.
F. Broekgaarden, E. Berger, C. Neijssel, et. al.
Fri, 5 Mar 21
54/64
Comments: 38 pages, 18 figures, submitted to MNRAS. The authors welcome suggestions and feedback. All data and code to reproduce the results in this paper are publicly available
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