Application of deep learning to soft x-ray tomography at EAST
文献类型：期刊论文
| 作者 | Mai, Chaowei1,2; Hu, Liqun2 ; Xu, Liqing2; Chao, Yan1,2; Chen, Kaiyun2; Chen, Yiping2
|
| 刊名 | PLASMA PHYSICS AND CONTROLLED FUSION
 |
| 出版日期 | 2022-11-01 |
| 卷号 | 64 |
| ISSN号 | 0741-3335 |
| 关键词 | deep learning tokamak EAST soft x-rays fast tomography |
| DOI | 10.1088/1361-6587/ac8aca |
| 通讯作者 | Xu, Liqing(lqxu@ipp.cas.cn) |
| 英文摘要 | Soft x-ray (SXR) cameras in a tokamak are limited spatially by ports of the vacuum vessel, and SXR tomography (SXT) technology is developed for reconstructing a two-dimensional SXR profile. However, traditional SXT is time-consuming and has difficulty achieving abundant and quick reconstructions for a tokamak. Based on experimental SXR data and Fourier-Bessel SXT codes at the EAST tokamak, three typical neural networks are built and trained. All the trained neural networks complete reconstruction within several milliseconds on a personal computer and succeed in constraining the SXR profile to match most of the data. In particular, the best-performing fully convolutional neural network provides SXR reconstruction images on the 2D evolution of a sawtooth, and shows its generalization. In the future, it is possible to provide an outstanding deep learning substitute to give abundant and quick SXT images instead of traditional SXT, after training for a few days. |
| 资助项目 | Science Foundation of Institute of Plasma Physics, Chinese Academy of Sciences[DSJJ-2021-03] |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| 出版者 | IOP Publishing Ltd |
| WOS记录号 | WOS:000859302800001 |
| 资助机构 | Science Foundation of Institute of Plasma Physics, Chinese Academy of Sciences |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/129191]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Xu, Liqing |
| 作者单位 | 1.Univ Sci & Technol China, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Inst Plasma Phys, Hefei Inst Phys Sci, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mai, Chaowei,Hu, Liqun,Xu, Liqing,et al. Application of deep learning to soft x-ray tomography at EAST[J]. PLASMA PHYSICS AND CONTROLLED FUSION,2022,64. |
| APA | Mai, Chaowei,Hu, Liqun,Xu, Liqing,Chao, Yan,Chen, Kaiyun,&Chen, Yiping.(2022).Application of deep learning to soft x-ray tomography at EAST.PLASMA PHYSICS AND CONTROLLED FUSION,64. |
| MLA | Mai, Chaowei,et al."Application of deep learning to soft x-ray tomography at EAST".PLASMA PHYSICS AND CONTROLLED FUSION 64(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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