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Journals / Celal Bayar Üniversitesi Fen Bilimleri Dergisi / 2020 / Cilt: 16 - Sayı: 3

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

Murat İNCE
Nimet IŞIK
Pages
345–349
Publication Date
2020-09-29
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Optimum solutions not only for centric entry HDA but also for paracentric entry Hemispherical Deflector Analyzer (HDA) were obtained by the genetic algorithm.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to demonstrate the Genetic Algorithm (GA) optimization results for energy resolutions of Hemispherical Deflector Analyzer (HDA).
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Key Findings & Data:The HDAs are designed specifically to distinguish electrons according to their energies.
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Conclusion & Impact:Optimum solutions not only for centric entry HDA but also for paracentric entry Hemispherical Deflector Analyzer (HDA) were obtained by the genetic algorithm.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Artificial intelligence · electron optics · electrostatic energy analyzer

Abstract

The aim of this study is to demonstrate the Genetic Algorithm (GA) optimization results for energy resolutions of 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. In this study, the energy resolution values can be obtained in a short time with the aid of the genetic algorithm implemented in the software. Genetic algorithm (GA) is an effective method developed with artificial intelligence technology. For the first time in this study, 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.

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Cite This Article

İNCE, M., IŞIK, N. (2020). Optimization of Base Energy Resolution in Hemispherical Deflector Analyzer by using Genetic Algorithm. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, Cilt: 16 - Sayı: 3, 345–349. https://ajindex.com/articles/88595

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