Transformer based on regression model for the denoising of X-ray pulsar profiles
文献类型:期刊论文
| 作者 | Ng, Zhiwei Hua1; Zong, Hua1; Ao, Liming2; Lu, Kunfeng1; Ie, Yujia1; Xu, Qian1 |
| 刊名 | ADVANCES IN SPACE RESEARCH
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| 出版日期 | 2025-07-15 |
| 卷号 | 76期号:2页码:1068-1079 |
| 关键词 | Pulsar profile denoising Transformer X-ray pulsar-based navigation |
| ISSN号 | 0273-1177 |
| DOI | 10.1016/j.asr.2025.05.008 |
| 英文摘要 | To improve noise suppression and adaptability in pulsar observation profile denoising algorithms, this paper proposes a method utilizing a transformer based on regression model. Initially, pulsar photon time-series data are transformed into pulse profiles, followed by standardization and data augmentation. Subsequently, the Conv1d module extracts features directly from observed pulsar profiles and standard profiles, converting profile contextual information into intermediate semantic features. The Transformer module is then employed for deep feature extraction and regression analysis on profile features, resulting in denoised observed profiles. Crab and PSR B1509-58 data from the NICER telescope are used to validate the proposed method. The simulation experiments demonstrate that under the conditions where the observation duration of the Crab pulsar is less than 15 sand that of PSR B1509-58 is below 2500 s, the proposed method achieves average signal-to-noise ratios of 18.7796 dB and 10.1675 dB, average Pearson correlation coefficients of 0.9921 and 0.9482, and average phase offsets of 0.0417 ms and 0.6639 ms, respectively. These results outperform those obtained using wavelet transform denoising and kernel regression denoising methods. (c) 2025 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. |
| WOS研究方向 | Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001523513600022 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/42028] ![]() |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Zong, Hua |
| 作者单位 | 1.Beijing Aerosp Automat Control Inst, Natl Key Lab Sci & Technol Aerosp Intelligent Cont, Beijing 100854, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ng, Zhiwei Hua,Zong, Hua,Ao, Liming,et al. Transformer based on regression model for the denoising of X-ray pulsar profiles[J]. ADVANCES IN SPACE RESEARCH,2025,76(2):1068-1079. |
| APA | Ng, Zhiwei Hua,Zong, Hua,Ao, Liming,Lu, Kunfeng,Ie, Yujia,&Xu, Qian.(2025).Transformer based on regression model for the denoising of X-ray pulsar profiles.ADVANCES IN SPACE RESEARCH,76(2),1068-1079. |
| MLA | Ng, Zhiwei Hua,et al."Transformer based on regression model for the denoising of X-ray pulsar profiles".ADVANCES IN SPACE RESEARCH 76.2(2025):1068-1079. |
入库方式: OAI收割
来源:计算技术研究所
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