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- Title
Optimization of Base Energy Resolution in Hemispherical Deflector Analyzer by using Genetic Algorithm.
- Authors
İnce, Murat; Işık, Nimet
- Abstract
The aim of this study is to demonstrate the Genetic Algorithm (GA) optimization results for energy resolutions of the Hemispherical Deflector Analyzer (HDA). The HDAs are designed specifically to distinguish electrons according to their energies. In this context, high energy resolutions are important for the prevention of experimental data loss. Thus, the energy resolution values can be obtained in a short time 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, analyzer resolution 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 Deflector Analyzer (HDA) were obtained by the genetic algorithm.
- Subjects
GENETIC algorithms; BIOCHEMISTRY; ARTIFICIAL intelligence; NANOPARTICLES; LOGISTIC model (Demography)
- Publication
Celal Bayar University Journal of Science, 2020, Vol 16, Issue 3, p345
- ISSN
1305-310X
- Publication type
Article
- DOI
10.18466/cbayarfbe.681519