Implications of Binary Black Hole Detections on the Merger Rates of Double Neutron Stars and Neutron Star–Black Holes
Implications of Binary Black Hole Detections on the Merger Rates of Double Neutron Stars and Neutron Star–Black Holes
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DOI：
10.3847/2041-8213/aa9271
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发表时间：
2017-08
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通讯作者：
Anuradha Gupta;K. Arun;K. Arun;B. Sathyaprakash;B. Sathyaprakash
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作者：
Anuradha Gupta;K. Arun;K. Arun;B. Sathyaprakash;B. Sathyaprakash
我们发现，用先进的LIGO(ALIGO)探测的双星黑洞(BBH)的合并率和啁啾质量可以用来约束宇宙中双中子星(DNS)和中子星-黑洞(NSBH)的合并率。我们通过考虑Dominik等人的一组公开可用的种群合成模型来明确地证明这一点。如果LIGO观察到的所有BBH合并，GW150914、LVT151012、GW151226和GW170104都是孤立的二元进化，则预测的域名合并率可能被限制在2.3GPC−3yr−1，而NSBH合并的合并率将被限制在0.2Gpc−3yr−1。请注意，这些受限的dns和nsbh速率非常依赖于型号，并使用Dominik等人的相同模型分别与非约束值2.3-472.5 gpc−3年−1和0.2-218gpc−3年−1进行比较。(2012a)。这些速率估计可能对假设它们(仅)由DNS或NSBH合并提供动力的短伽马射线暴前驱体模型产生影响。虽然这些结果是基于一组不一定是代表性的开放访问种群合成模型，但所提出的方法是非常通用的，并且可以应用于任何数量的模型，从而根据推断的BBH合并率和Chirp质量对DNSBH合并率产生更现实的约束。
We show that the inferred merger rate and chirp masses of binary black holes (BBHs) detected by advanced LIGO (aLIGO) can be used to constrain the rate of double neutron star (DNS) and neutron star–black hole (NSBH) mergers in the universe. We explicitly demonstrate this by considering a set of publicly available population synthesis models of Dominik et al. and show that if all the BBH mergers, GW150914, LVT151012, GW151226, and GW170104, observed by aLIGO arise from isolated binary evolution, the predicted DNS merger rate may be constrained to be 2.3–471.0 Gpc−3 yr−1 and that of NSBH mergers will be constrained to 0.2–48.5 Gpc−3 yr−1. The DNS merger rates are not constrained much, but the NSBH rates are tightened by a factor of ∼4 as compared to their previous rates. Note that these constrained DNS and NSBH rates are extremely model-dependent and are compared to the unconstrained values 2.3–472.5 Gpc−3 yr−1 and 0.2–218 Gpc−3 yr−1, respectively, using the same models of Dominik et al. (2012a). These rate estimates may have implications for short Gamma Ray Burst progenitor models assuming they are powered (solely) by DNS or NSBH mergers. While these results are based on a set of open access population synthesis models, which may not necessarily be the representative ones, the proposed method is very general and can be applied to any number of models, thereby yielding more realistic constraints on the DNS and NSBH merger rates from the inferred BBH merger rate and chirp mass.