Institutional Repository of Computer Application Research Laboratory
| Application of AI Technology in Pulsar Candidate Identification | |
Wanqiong Wang1 ; Jie Wang1,2,3; Xinchen Ye1,3; Yazhou Zhang1; Jia Li1; Xu Du1,2; Wenna Cai1,2; Han Wu1,2; Ting Zhang1,2; Yuyue Jiao1,2
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| Source Publication | Astronomical Techniques and Instruments
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| ISSN | 2097-3675 |
| Volume | 1Pages:1-17 |
| Contribution Rank | 1 |
| Abstract | As artificial intelligence (AI) technology has continued to develop, its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes, and it has been widely applied across various fields. In the field of astronomy, AI techniques have demonstrated unique advantages, particularly in the identification of pulsars and their candidates. AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency. This paper systematically surveys commonly used AI models for pulsar candidate identification, analyzing and discussing the typical applications of machine learning, artificial neural networks, convolutional neural networks, and generative adversarial networks in candidate identification. Furthermore, it explores how the introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing, thus playing a significant role in advancing pulsar research and the field of astronomy. |
| Keyword | AI technology Candidate identification Machine learning Neural networks |
| DOI | 10.61977/ati2024050 |
| URL | 查看原文 |
| Indexed By | CSCD |
| Language | 英语 |
| WOS ID | CSCD:7920950 |
| CSCD ID | CSCD:7920950 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/7625 |
| Collection | 计算机技术应用研究室 |
| Affiliation | 1.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; 2.University of Chinese Academy of Sciences, Beijing 100049, China; 3.National Astronomical Data Center, Beijing 100101, China |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Wanqiong Wang,Jie Wang,Xinchen Ye,et al. Application of AI Technology in Pulsar Candidate Identification[J]. Astronomical Techniques and Instruments,1:1-17. |
| APA | Wanqiong Wang.,Jie Wang.,Xinchen Ye.,Yazhou Zhang.,Jia Li.,...&Yuyue Jiao. |
| MLA | Wanqiong Wang,et al."Application of AI Technology in Pulsar Candidate Identification".Astronomical Techniques and Instruments 1 |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Wang-2024-Applicatio（3712KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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