Multimessenger Pulsar Timing Array Constraints on Supermassive Black Hole Binaries Traced by Periodic Light Curves
Multimessenger Pulsar Timing Array Constraints on Supermassive Black Hole Binaries Traced by Periodic Light Curves
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DOI：
10.3847/1538-4357/ac01c5
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发表时间：
2020-09
期刊：
影响因子：
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通讯作者：
Chengcheng Xin;C. Mingarelli;J. Hazboun
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作者：
Chengcheng Xin;C. Mingarelli;J. Hazboun
发射引力波的超大质量黑洞双星系统（SMBHB）可以用周期光变曲线来追踪。我们收集了149个这样的周期性光变曲线的目录，并利用它们的质量，距离和周期，预测了引力波应变和使用全天探测地图的每个候选双星的可探测性。我们发现，国际脉冲星定时阵列（IPTA）提供了几乎均匀的天空覆盖范围-IPTA的独特能力-到2025年，NANOGrav目前的最小可检测应变将提高6倍，体积将提高216倍。此外，到2025年，IPTA将对三个候选者达到检测灵敏度，到本十年末将达到13个，使我们能够限制用于估计超大质量黑洞质量的潜在经验关系。我们发现，我们实际上已经可以将Mrk 504中双星的质量限制在M < 3.3 × 109 M <$。我们还确定了24个高质量，高红移星系，根据我们的模型，应该不能够主机SMBHB。重要的是，即使是这些候选者中的一个，GW检测也将是一个基本上永恒的多信使系统，并且从未检测中识别常见的假阳性信号将有助于过滤来自未来大规模调查（如LSST）的数据。
Supermassive black hole binary systems (SMBHBs) emitting gravitational waves may be traced by periodic light curves. We assembled a catalog of 149 such periodic light curves, and using their masses, distances, and periods, predicted the gravitational-wave strain and detectability of each binary candidate using all-sky detection maps. We found that the International Pulsar Timing Array (IPTA) provides almost uniform sky coverage—a unique ability of the IPTA—and by 2025 will improve NANOGrav’s current minimum detectable strain by a factor of 6 and its volume by a factor of 216. Moreover, IPTA will reach detection sensitivities for three candidates by 2025, and 13 by the end of the decade, enabling us to constrain the underlying empirical relations used to estimate supermassive black hole masses. We find that we can in fact already constrain the mass of a binary in Mrk 504 to M < 3.3 × 109 M ⊙. We also identify 24 high-mass, high-redshift galaxies that, according to our models, should not be able to host SMBHBs. Importantly, the GW detection of even one of these candidates would be an essentially eternal multimessenger system, and identifying common false-positive signals from nondetections will be useful to filter the data from future large-scale surveys such as LSST.