Optimization of Base Energy Resolution in Hemispherical Deflector Analyzer by using Genetic Algorithm

The aim of this study is to demonstrate the Genetic Algorithm (GA) optimization results for energyresolutions of the Hemispherical Deflector Analyzer (HDA). The HDAs are designed specifically todistinguish electrons according to their energies. In this context, high energy resolutions are important forthe prevention of experimental data loss. Thus, the energy resolution values can be obtained in a shorttime with the aid of the genetic algorithm implemented in the proposed software. Genetic algorithm (GA)is an effective method developed with artificial intelligence technology. For the first time, analyzerresolution values in the widest range in the literature were calculated by genetic algorithm software.Optimum solutions not only for centric entry HDA but also for paracentric entry Hemispherical DeflectorAnalyzer (HDA) were obtained by the genetic algorithm.

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