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多束团模式下束流位置频谱模型及参数获取算法
引用本文:杨勇,冷用斌,王宝鹏.多束团模式下束流位置频谱模型及参数获取算法[J].强激光与粒子束,2014,26(8):085103.
作者姓名:杨勇  冷用斌  王宝鹏
作者单位:1.中国科学院 上海应用物理研究所, 上海 201 800;
基金项目:国家自然科学基金项目(11075198)
摘    要:以储存环逐圈位置频谱模型为基础,通过一些假设条件推导出多束团模式下束流位置的频谱模型。利用上海光源储存环受激多束团位置信号频谱数据,使用遗传算法进行多曲线数据拟合得到模型参数。结果表明:在迭代100次的条件下,该模型与原数据所有曲线的相关性均在95%以上,并且可以精确估计多束团频谱曲线的双峰分裂。曲线拟合后的参数可以监测储存环阻抗的变化。

关 键 词:多束团    频谱模型    遗传算法    多曲线拟合    阻抗
收稿时间:2013/12/14

Spectrum of multi-bunch beam position model and parameter acquisition algorithm
Institution:1.Shanghai Institute of Applied Physics,Chinese Academy of Sciences,Shanghai 201800,China;2.University of Chinese Academy of Sciences,Beijing 100049,China
Abstract:Based on the spectrum of turn-by-turn model for the storage ring, spectrum of multi-bunch beam position model was derived through some assumptions. Spectrum of excited electron beam position was analyzed at Shanghai Synchrotron Radiation Facility(SSRF) and Genetic Algorithm was used to fit multi-curve data and the model parameters were obtained. The results show that, after 100 times iteration, all the correlation of fitted data and original data can be up to 95%, and the model can accurately estimate a bimodal split of the spectrum curve. The parameters can be used for monitoring the impedance of the storage ring.
Keywords:multi-bunch  spectrum model  genetic algorithm  multiple curve fitting  impedance
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