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arXiv 2512.04516gr-qcastro-ph.IM
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在高级LIGO第三次观测运行中用深度学习搜索双黑洞合并

Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run

The University of Western Australia(西澳大学);International Centre for Radio Astronomy Research, The University of Western Australia(西澳大学国际射电天文研究中心)

Damon Beveridge, Alistair McLeod, Linqing Wen, Weichangfeng Guo, Andreas Wicenec

AI总结:

研究利用结合匹配滤波和深度学习的混合搜索管道,从探测器应变数据中识别恒星质量双黑洞候选体,通过目标注入研究基准化方法灵敏度,在LIGO-Virgo-KAGRA合作组织第三次观测运行中进行离线搜索,发现新候选体。

摘要:

致密双星并合产生的引力波探测为宇宙研究提供了重要见解,独立搜索新的独特引力波候选体仍是研究领域。本文构建了结合匹配滤波和深度学习的混合搜索管道,从探测器应变数据中识别恒星质量双黑洞候选体。通过目标注入研究基准化方法灵敏度并与现有管道比较,结果表明混合方法对源框架啁啾质量大于25M⊙的注入具有可比灵敏度,低于此阈值灵敏度下降。还进行了离线搜索,得到LVK先前报告的31个候选体,概率pastro≥0.5,还识别出另外两个候选体,其中一个新候选体pastro为0.63,具有高啁啾质量且主黑洞很可能是中等质量黑洞。

英文摘要:

The detection of gravitational waves from compact binary coalescences has provided significant insights into our Universe, and the discovery of new and unique gravitational wave candidates from independent searches remains an ongoing field of research. In this work, we built a hybrid search pipeline that combines matched filtering and deep learning to identify stellar-mass binary black hole candidates from detector strain data. We first present results from a targeted injection study to benchmark the sensitivity of our method and compare it with existing search pipelines. We demonstrate that our hybrid approach has comparable sensitivity for injections with a source-frame chirp mass greater than 25$\,$M$_{\odot}$, and below this threshold our sensitivity drops off for signals with a network SNR less than 15. We also observe that our search method can identify a significant population of unique candidates. Furthermore, we conduct an offline search for gravitational wave candidates in the third observing run of the LIGO-Virgo-KAGRA Collaboration (LVK), yielding 31 candidates previously reported by the LVK with a probability of astrophysical origin $p_{\rm astro}\geq0.5$. We identify two other candidates: one previously reported only in a search conducted by the Institute for Advanced Study, and one previously unreported promising new candidate with a $p_{\rm astro}$ of 0.63. This unique candidate has a high chirp mass and a high probability that the primary black hole is an intermediate-mass black hole.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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