Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm

Filter-based spectrometers are widely used in the diagnostics of laser-plasma-generated X/gamma-ray pulses. The highly ill-conditioned characteristic of the filter-based spectrometer response matrix is a primary factor limiting their measurement accuracy. In this paper, the genetic algorithm is used to optimize the configuration of the filter-based spectrometer to alleviate the ill-conditioned response. The effectiveness of optimization was investigated under different conditions such as different measurement errors, different spectrum shapes and different unfolding algorithms by numerical experiment. Furthermore, the optimized and non-optimized filter stack spectrometer were implemented and irradiated by X-ray tubes. These results show that the optimization can effectively reduce the divergence of the unfolded spectrum for continuous spectrum X-ray detection and improve peak unfolding accuracy for monochromatic X-ray detection.

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Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm

Cited by 2 publications

References 24 publications

A new scheme of PM2.5 and O3 control strategies with the integration of SOM, GA and WRF-CAMx

A new scheme of PM2.5 and O3 control strategies with the integration of SOM, GA and WRF-CAMx

Experimental verification for optimal design of the filter-based spectrometer

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