Machine learning combined with Langmuir probe measurements for diagnosis of dusty plasma of a positive column

Zhe DING (丁哲); Jingfeng YAO (姚静锋); Ying WANG (王莹); Chengxun YUAN (袁承勋); Zhongxiang ZHOU (周忠祥); Anatoly A KUDRYAVTSEV; Ruilin GAO (高瑞林); Jieshu JIA (贾洁姝)

doi:10.1088/2058-6272/ac125d

Plasma Science and Technology > 2021 > 23(9): 95403-095403. > DOI: 10.1088/2058-6272/ac125d

Zhe DING (丁哲), Jingfeng YAO (姚静锋), Ying WANG (王莹), Chengxun YUAN (袁承勋), Zhongxiang ZHOU (周忠祥), Anatoly A KUDRYAVTSEV, Ruilin GAO (高瑞林), Jieshu JIA (贾洁姝). Machine learning combined with Langmuir probe measurements for diagnosis of dusty plasma of a positive column[J]. Plasma Science and Technology, 2021, 23(9): 95403-095403. DOI: 10.1088/2058-6272/ac125d

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Machine learning combined with Langmuir probe measurements for diagnosis of dusty plasma of a positive column

¹ School of Physics, Harbin Institute of Technology, Harbin 150001, People's Republic of China
² Heilongjiang Provincial Key Laboratory of Plasma Physics and Application Technology, Harbin 150001,People's Republic of China
³ Physics Department, Saint Petersburg State University, St. Petersburg 198504, Russia&n
⁴ Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, People's Republic of China
⁵ Science and Technology on Electromagnetic Scattering Laboratory, Shanghai 200438, People/s Republic of China

Funds: The research has been financially supported by National Natural Science Foundation of China (Nos. 11775062, 11805130 and 11905125) and the Shanghai Sailing Program (Nos. 19YF1420900 and 18YF1422200).

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Received Date: April 26, 2021
Revised Date: July 04, 2021
Accepted Date: July 06, 2021

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Abstract

Abstract

This paper reports the use of machine learning to enhance the diagnosis of a dusty plasma. Dust in a plasma has a large impact on the properties of the plasma. According to a probe diagnostic experiment on a dust-free plasma combined with machine learning, an experiment on a dusty plasma is designed and carried out. Using a specific experimental device, dusty plasma with a stable and controllable dust particle density is generated. A Langmuir probe is used to measure the electron density and electron temperature under different pressures, discharge currents, and dust particle densities. The diagnostic result is processed through a machine learning algorithm, and the error of the predicted results under different pressures and discharge currents is analyzed, from which the law of the machine learning results changing with the pressure and discharge current is obtained. Finally, the results are compared with theoretical simulations to further analyze the properties of the electron density and temperature of the dusty plasma.
- dusty plasma,
- machine learning,
- Langmuir probe

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Machine learning combined with Langmuir probe measurements for diagnosis of dusty plasma of a positive column

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