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Machine learning prediction of electron density and temperature from He I line ratios
Author(s) -
D. Nishijima,
Shin Kajita,
G. R. Tynan
Publication year - 2021
Publication title -
review of scientific instruments online/review of scientific instruments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 165
eISSN - 1089-7623
pISSN - 0034-6748
DOI - 10.1063/5.0028000
Subject(s) - langmuir probe , electron temperature , electron density , line (geometry) , training set , support vector machine , electron , plasma diagnostics , atomic physics , materials science , intensity (physics) , computational physics , physics , artificial intelligence , computer science , plasma , optics , mathematics , nuclear physics , geometry

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