Compact binary coalescence gravitational wave signal counting and separation
文献类型：期刊论文
| 作者 | Zhao, Tianyu1; Zhou, Yue2; Shi, Ruijun3,4; Xu, Peng1,5,6,7; Cao, Zhoujian3,4,8; Ren, Zhixiang2 |
| 刊名 | PHYSICAL REVIEW D
 |
| 出版日期 | 2025-05-12 |
| 卷号 | 111期号:10页码:13 |
| ISSN号 | 2470-0010 |
| DOI | 10.1103/PhysRevD.111.104028 |
| 通讯作者 | Xu, Peng(xupeng@imech.ac.cn) ; Cao, Zhoujian(zjcao@bnu.edu.cn) ; Ren, Zhixiang(renzhx@pcl.ac.cn) |
| 英文摘要 | As next-generation gravitational-wave (GW) observatories approach unprecedented sensitivities, the need for robust methods to analyze increasingly complex, overlapping signals becomes ever more pressing. Existing matched-filtering approaches and deep-learning techniques can typically handle only one or two concurrent signals, offering limited adaptability to more varied and intricate superimposed waveforms. To overcome these constraints, we present the UnMixFormer, an attention-based architecture that not only identifies the unknown number of concurrent compact binary coalescence GW events but also disentangles their individual waveforms through a multidecoder architecture, even when confronted with five overlapping signals. Our UnMixFormer is capable of capturing both short- and long-range dependencies by modeling them in a dual-path manner, while also enhancing periodic feature representation by incorporating Fourier analysis networks. Our approach adeptly processes binary black hole, binary neutron star, and neutron star- black hole systems over extended time series data (16,384 samples). When evaluating on synthetic data with signal-to-noise ratios (SNR) ranging from 10 to 50, our method achieves 99.89% counting accuracy, a mean overlap of 0.9831 between separated waveforms and templates, and robust generalization ability to waveforms with spin precession, orbital eccentricity, and higher modes, marking a substantial advance in the precision and versatility of GW data analysis. |
| WOS关键词 | OVERLAPPING SIGNALS ; ADVANCED LIGO ; TESTS |
| 资助项目 | National Key Research and Development Program of China[2021YFC2201901] ; National Key Research and Development Program of China[2021YFC2203001] ; National Natural Science Foundation of China (NSFC)[11920101003] ; National Natural Science Foundation of China (NSFC)[12021003] ; Peng Cheng Laboratory ; International Partnership Program of the Chinese Academy of Sciences[025GJHZ2023106GC] ; Fundamental Research Funds for the Central Universities ; Peng Cheng Laboratory Cloud-Brain |
| WOS研究方向 | Astronomy & Astrophysics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001494435200021 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; Peng Cheng Laboratory ; International Partnership Program of the Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; Peng Cheng Laboratory Cloud-Brain |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/101619]  |
| 专题 | 力学研究所_国家微重力实验室 |
| 通讯作者 | Xu, Peng; Cao, Zhoujian; Ren, Zhixiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Natl Micrograv Lab, Beijing 100190, Peoples R China 2.Peng Cheng Lab, Shenzhen 518055, Peoples R China 3.Beijing Normal Univ, Sch Phys & Astron, Beijing 100875, Peoples R China 4.Beijing Normal Univ, Inst Frontiers Astron & Astrophys, Beijing 102206, Peoples R China 5.Univ Chinese Acad Sci UCAS, Taiji Lab Gravitat Wave Universe Beijing Hangzhou, Beijing 100049, Peoples R China 6.UCAS, Hangzhou Inst Adv Study, Key Lab Gravitat Wave Precis Measurement Zhejiang, Hangzhou 310024, Peoples R China 7.Lanzhou Univ, Lanzhou Ctr Theoret Phys, Lanzhou 730000, Peoples R China 8.UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Tianyu,Zhou, Yue,Shi, Ruijun,et al. Compact binary coalescence gravitational wave signal counting and separation[J]. PHYSICAL REVIEW D,2025,111(10):13. |
| APA | Zhao, Tianyu,Zhou, Yue,Shi, Ruijun,Xu, Peng,Cao, Zhoujian,&Ren, Zhixiang.(2025).Compact binary coalescence gravitational wave signal counting and separation.PHYSICAL REVIEW D,111(10),13. |
| MLA | Zhao, Tianyu,et al."Compact binary coalescence gravitational wave signal counting and separation".PHYSICAL REVIEW D 111.10(2025):13. |
入库方式： OAI收割
来源：力学研究所
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