Ensemble of deep convolutional neural networks for real-time gravitational wave signal recognition
文献类型：期刊论文
| 作者 | Ma, CunLiang; Wang, Wei; Wang, He1; Cao, Zhoujian3,4 |
| 刊名 | PHYSICAL REVIEW D
 |
| 出版日期 | 2022 |
| 卷号 | 105期号:8页码:83013 |
| 关键词 | NEOCOGNITRON MECHANISM MODEL |
| ISSN号 | 2470-0010 |
| DOI | 10.1103/PhysRevD.105.083013 |
| 英文摘要 | With the rapid development of deep learning technology, more and more researchers apply it to gravitational wave (GW) data analysis. Previous studies focused on a single deep learning model. In this paper we design an ensemble algorithm combining a set of convolutional neural networks for GW signal recognition. The whole ensemble model consists of two subensemble models. Each subensemble model is also an ensemble model of deep learning. The two subensemble models treat data of Hanford and Livinston detectors, respectively. Proper voting scheme is adopted to combine the two subensemble models to form the whole ensemble model. We apply this ensemble model to all reported GW events in the first observation and second observation runs (O1/O2) by LIGO-VIRGO Scientific Collaboration. We find that the ensemble algorithm can clearly identify all binary black hole merger events except GW170818. We also apply the ensemble model to one month (August 2017) data of O2. No false trigger happens, although only O1 data are used for training. Our test results indicate that the ensemble learning algorithms can be used in real-time GW data analysis. |
| 学科主题 | Astronomy & Astrophysics ; Physics |
| 语种 | 英语 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/27742]  |
| 专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
| 作者单位 | 1.Jiangxi Univ Sci & Technol, Sch Informat Engn, Ganzhou 341000, Peoples R China 2.UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China 3.Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China 4.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, CunLiang,Wang, Wei,Wang, He,et al. Ensemble of deep convolutional neural networks for real-time gravitational wave signal recognition[J]. PHYSICAL REVIEW D,2022,105(8):83013. |
| APA | Ma, CunLiang,Wang, Wei,Wang, He,&Cao, Zhoujian.(2022).Ensemble of deep convolutional neural networks for real-time gravitational wave signal recognition.PHYSICAL REVIEW D,105(8),83013. |
| MLA | Ma, CunLiang,et al."Ensemble of deep convolutional neural networks for real-time gravitational wave signal recognition".PHYSICAL REVIEW D 105.8(2022):83013. |
入库方式： OAI收割
来源：理论物理研究所
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