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Estimation of the Lyman-α signal of the EFILE diagnostic under static or radiofrequency electric field in vacuum
作者姓名:Carlo POGGI  Théo GUILLAUME  Fabrice DOVEIL  Laurence CHéRIGIER-KOVACIC
基金项目:We thank Guillaume Demesy, Pierre Sabouroux and Marc Dubois of the Fresnel Institute for fruitful discussions and for technical support with CST. CP benefited from an Erasmus exchange grant via the European Erasmus+ Programme 2014-2020.
摘    要:The electric field induced Lyman-α emission diagnostic aims to provide a non intrusive and precise measurement of the electric field in plasma, using a beam of hydrogen atoms prepared in the metastable 2 s state. The metastable particles are obtained by means of a proton beam extracted from a hydrogen plasma source, and neutralised by interaction with vaporised caesium.When a 2 s atom enters a region where an electric field is present, it undergoes a transition to the2 p state(Stark mixing). It then quickly decays to the ground level, emitting Lyman-α radiation,which is collected by a photomultiplier. The 2 s→2 p transition rate is proportional to the square of the magnitude of the electric field, and depends on the field oscillation frequency(with peaks around 1 GHz). By measuring the intensity of the Lyman-α radiation emitted by the beam it is possible to determine the magnitude of the field in a defined region. In this work, an analysis of the behaviour of the diagnostic under static or radiofrequency electric field is presented. Electric field simulations obtained with a finite element solver of Maxwell equations, combined with theoretical calculations of the Stark mixing transition rate, are used to develop a model for the interpretation of photomultiplier data. This method shows good agreement with experimental results for the static field case, and allows to measure the field magnitude for the oscillating case.

关 键 词:electric field measurement  electromagnetic simulations  Stark effect  plasma diagnostics  electric field measurement  electromagnetic simulations  Stark effect  plasma diagnostics
收稿时间:2018-01-11
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