Electron density profile reconstruction with convolutional neural networks

doi:10.1088/1361-6587/ac97be

	Electron density profile reconstruction with convolutional neural networks
	Lan, Ting 1; Liu, Haiqing 1; Ren, Qilong 1; Zhu, Xiang 2; Mao, Wenzhe 3; Yuan, Yi 1; Wang, Yunfei 1,4
刊名	PLASMA PHYSICS AND CONTROLLED FUSION
	2022-12-01
卷号	64
关键词	electron density profile reconstruction convolutional neural networks robustness to unreliable measurements laser interferometer
ISSN号	0741-3335
DOI	10.1088/1361-6587/ac97be
通讯作者	Liu, Haiqing(hqliu@ipp.ac.cn) ; Ren, Qilong(renql@ipp.ac.cn)
英文摘要	Convolutional neural networks are introduced into reconstructing electron density profiles from line-integrated density measurements of interferometers in the EAST tokamak. Diagnostic data from the polarimeter/interferometer and the hydrogen cyanide interferometer diagnostic systems are integrated to improve the reconstruction performance. By training and optimization with unreliable measurements in the data set, the robustness of this algorithm is enhanced. The established model can predict the probability distribution of density profiles accurately, fast, and robustly to noise and interference. This algorithm is not restricted to specific equilibrium configurations and can be transferred easily between different fusion devices.
资助项目	National Natural Science Foundation of China[NSFC-12005075]
WOS关键词	ABEL-INVERSION ; PLASMAS
WOS研究方向	Physics
语种	英语
出版者	IOP Publishing Ltd
WOS记录号	WOS:000875345100001
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/130005]
专题	中国科学院合肥物质科学研究院
通讯作者	Liu, Haiqing; Ren, Qilong
作者单位	1.Chinese Acad Sci Hefei, Inst Plasma Phys, Hefei 230031, Anhui, Peoples R China 2.Shenzhen Univ, Shenzhen 518060, Peoples R China 3.Univ Sci & Technol China Hefei, Hefei 230026, Anhui, Peoples R China 4.Kyushu Univ, Kasuga, Fukuoka 8168580, Japan
推荐引用方式 GB/T 7714	Lan, Ting,Liu, Haiqing,Ren, Qilong,et al. Electron density profile reconstruction with convolutional neural networks[J]. PLASMA PHYSICS AND CONTROLLED FUSION,2022,64.
APA	Lan, Ting.,Liu, Haiqing.,Ren, Qilong.,Zhu, Xiang.,Mao, Wenzhe.,...&Wang, Yunfei.(2022).Electron density profile reconstruction with convolutional neural networks.PLASMA PHYSICS AND CONTROLLED FUSION,64.
MLA	Lan, Ting,et al."Electron density profile reconstruction with convolutional neural networks".PLASMA PHYSICS AND CONTROLLED FUSION 64(2022).