Development of a novel optimization tool for electron linacs inspired by artificial intelligence techniques in video games

被引：0

作者：

Meier E. ^{[1
,2
,3
]}

Biedron S.G. ^{[3
,4
]}

Leblanc G. ^{[2
]}

Morgan M.J. ^{[1
]}

机构：

[1] School of Physics, Monash University, Clayton, VIC 3800, Wellington Rd.

[2] Australian Synchrotron, Clayton, VIC 3168

[3] FERMI at Elettra, Sincrotrone Trieste, 34012 Basovizza, Trieste, S.S. 14 km 163

[4] Department of Defense Project Office, Argonne National Laboratory

来源：

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2011年 / 632卷 / 01期

基金：

日本学术振兴会;

关键词：

Energy control; Jitter; Linac; Neural networks; Optimization; Video games;

D O I：

10.1016/j.nima.2010.12.174

中图分类号：

学科分类号：

摘要：

This paper reports the results of an advanced algorithm for the optimization of electron beam parameters in Free Electron Laser (FEL) Linacs. In the novel approach presented in this paper, the system uses state of the art developments in video games to mimic an operator's decisions to perform an optimization task when no prior knowledge, other than constraints on the actuators is available. The system was tested for the simultaneous optimization of the energy spread and the transmission of the Australian Synchrotron Linac. The proposed system successfully increased the transmission of the machine from 90% to 97% and decreased the energy spread of the beam from 1.04% to 0.91%. Results of a control experiment performed at the new FERMI@Elettra FEL is also reported, suggesting the adaptability of the scheme for beam-based control. © 2011 Elsevier B.V. All rights reserved.

引用

页码：128 / 132

页数：4

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