7–12 May 2023
Venice, Italy
Europe/Zurich timezone

Beam Dynamics Optimization of an Electron Linac Using the Multi-Objective Genetic Algorithm

TUPL135
9 May 2023, 16:30
2h
Sala Laguna

Sala Laguna

Poster Presentation MC2.A08: Linear Accelerators Tuesday Poster Session

Speaker

Chanmi Kim (Korea University Sejong Campus)

Description

A beam dynamics optimization study of an electron injector linear accelerator including an RF photoinjector gun was performed using MOGA (Multi-Objective Genetic Algorithm). To meet the requirements of electron beam characteristics at the linac end, the optimization goal was to minimize transverse beam emittance and energy spread. The transverse and longitudinal beam sizes were constrained to find Pareto fronts effectively. Parameters to be optimized were the input phases of the RF gun cavity and accelerator column cavity as well as the strength and position of the focusing solenoids. In addition to finding physical optimization parameters, we also investigated hyper-parameters in optimization simulations such as population, offsprings, generations, etc. This paper presents the optimization results of the linac design.

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Primary authors

Chanmi Kim (Korea University Sejong Campus) Chong Shik Park (Korea University Sejong Campus)

Co-authors

Chang-Ki Min (Pohang Accelerator Laboratory) Eun-San Kim (Korea University Sejong Campus) Jaeyu Lee (Pohang Accelerator Laboratory) Seunghwan Shin (Korea University Sejong Campus) Sung-Ju Park (Pohang Accelerator Laboratory) Taekyun Ha (Pohang Accelerator Laboratory) Woo Jun Byeon (Pohang Accelerator Laboratory)

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