Optimization study for RF cavity and beam dynamics simulation in the electron linear accelerator using the multi-objective genetic algorithm

• Published in: Journal of instrumentation Vol. 19; no. 1; p. P01023
• Main Authors: Kim, Chanmi, Park, Chong Shik, Kim, Eun-San, Shin, Seung Hwan, Park, Seong Hee, Min, Chang-Ki, Byeon, Woo Jun
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.01.2024
• Subjects: Acceleration cavities and superconducting magnets (high-temperature superconductor, radiation hardened magnets, normal-conducting, permanent magnet devices, wigglers and undulators); Accelerator modelling and simulations (multi-particle dynamics, single-particle dynamics); Beam dynamics; Emittance; Genetic algorithms; Instrumentation for particle accelerators and storage rings - high energy (linear accelerators, synchrotrons); Knobs; Linear accelerators; Multiple objective analysis; Optimization; Storage rings (particle accelerators)
• ISSN: 1748-0221; 1748-0221
• DOI: 10.1088/1748-0221/19/01/P01023

Abstract This work presents an optimization study on the RF cavity geometry design and beam dynamics of an electron injector linac for the Korea Fourth-Generation Storage Ring (Korea-4GSR). It is challenging to achieve an optimal design for a linac system due to the nonlinear nature of accelerator system and the associated beam dynamics with numerous knobs to control. To address this challenge, we employed the Multi-Objective Genetic Algorithm (MOGA) for efficient optimization. Through the utilization of MOGA, we effectively optimized the electron linac for the Korea-4GSR. The optimized design yielded a horizontal normalized rms emittance of approximately 3.79 mm-mrad and an energy spread of about 307.37 keV, which met design requirements of the Korea-4GSR. This approach facilitated the design of an electron linac tailored for the Korea-4GSR with enhanced efficiency and effectiveness.