Analysis of neutral beam proton ratio based on multiple linear regressive model

The levels of neutral beam proton ratio have an important influence on heating the plasma. In the experiment, the macro operation parameters of high current ion source, such as filament voltage, arc voltage and gas flow rate, decide the levels of neutral beam proton ratio. Based on the Experimental Advanced Superconducting Tokamak (EAST) neutral beam injection test bed beam extraction experiments, this paper has used the multiple linear regressive model to analyze extraction neutral beam proton ratio and established the prediction equation which influences neutral beam proton ratio, and tested the correctness of the model. The results show that the neutral beam proton ratio could be analyzed by the multiple linear regressive model whose dependent variables are filament voltage and arc voltage. Among them, the filament voltage is a key parameter to influence proton ratio and then arc voltage.