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Title
Japanese: 
English:Optical Emission Spectroscopy Measurement for Plasma Parameter Identification — from Kinetic Modeling to Data Science 
Author
Japanese: 赤塚洋.  
English: Hiroshi Akatsuka.  
Language English 
Journal/Book name
Japanese: 
English:11th International Conference on Reactive Plasmas (ICRP-11) 2022 Gaseous Electronics Conference (GEC 2022) 
Volume, Number, Page         pp. 15-16
Published date Oct. 3, 2022 
Publisher
Japanese: 
English:American Physical Society 
Conference name
Japanese: 
English:75th Annual Gaseous Electronics Conference/11th International Conference on Reactive Plasmas 
Conference site
Japanese:仙台 
English:Sendai 
Official URL https://meetings.aps.org/Meeting/GEC22/Session/DR5.3
 
Abstract Recent progresses in studies of optical emission spectroscopy (OES) measurement of low-temperature plasmas are presented. Two methods are presented; the first one is line-spectrum measurement assisted with excitation kinetic model like collisional-radiative (CR) model. The second one is continuum-spectrum measurement due to bremsstrahlung of free electrons in low-temperature plasma, which can be applied only to atmospheric-pressure plasmas. Traditionally, the observed number densities of excited states obtained by line-intensity measurement have been interpreted by excitation kinetic model like modified CR models. Simultaneous equations are solved based on the kinetic models to calculate electron temperature Te, density Ne, and even the energy distribution parameter x, with which the electron energy distribution function (EEDF) is described as f(ε) ∝ exp[–C(ε/kTe)x]. With this scheme, however, troublesome mathematical procedure is inevitable to extract dominant processes. Recently, another strategy is presented to minimize the summation of the square-root-deviation between the excited-state densities observed by the OES and those calculated with the CR model. Such levels must be selected by a trust region method, BOBYQA, which is a root-finding algorithm for bound constrained optimization without using derivatives of the objective function. Examples will be presented for argon plasmas under several discharge conditions, such as low-pressure ICP, medium-pressure MWD and atmospheric-pressure DBD. On the other hand, continuum emission analysis for the atmospheric-pressure cold plasma can be done by theoretical fitting of the observed spectrum to deduce Te and Ne. By this spectrum, the EEDF can be also examined to observe through the reinforcement learning-based visible bremsstrahlung inversion (VBI) method, where it is found that the EEDF over a limited energy-range can be reconstructed, which will be discussed in detail in the meeting.

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