Linaccalc:基于等效电路法的加速结构特性仿真软件

Q3 Physics and Astronomy
S. Matsievskiy, V. I. Kaminskii, A. A. Gorchakov, M. Lalayan, M. Gusarova, N. Sobenin
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引用次数: 0

摘要

目前,加速结构的设计几乎只使用基于有限元法的2.5D和3D代码。等效电路法在实际工程中经常被认为是有限的和不方便使用的。然而,低资源需求使得该方法对于宽范围扫描计算具有吸引力。本文介绍了LinacCalc的应用——一个用户友好的基于等效电路法的加速结构仿真软件。它允许在具有中等计算能力的机器上在短时间内计算具有大量单元的加速段的特性。通过将计算结果与基于传统有限元方法的程序获得的计算结果进行比较,验证了核心应用模块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linaccalc: software for accelerating structure characteristics simulation based on equivalent circuit method
Nowadays design of accelerating structures is almost exclusively done using 2.5D and 3D codes based on finite elements method. Equivalent circuit method is frequently considered limited and inconvenient to use in real-life projects. However, low resource requirements make this method attractive for wide range sweep calculations.This paper describes LinacCalc application — a user friendly accelerating structure simulation software based on the equivalent circuit method. It allows calculating characteristics of the accelerating sections with large number of cells in short time on machines with moderate amount of computational power. Core application modules are validated by comparing calculation results with ones obtained by a conventional finite element method based programs.
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来源期刊
Cybernetics and Physics
Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
1.70
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.
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