Impact factor of Chinese Physics C is 3.6 in 2023 Impact factor of Chinese Physics C is 3.6 in 2022 2021 Impact Factor 2.944
Advanced Search
×
近期发现有不法分子冒充我刊与作者联系，借此进行欺诈等不法行为，请广大作者加以鉴别，如遇诈骗行为，请第一时间与我刊编辑部联系确认（《中国物理C》（英文）编辑部电话：010-88235947,010-88236950），并作报警处理。
本刊再次郑重声明：
（1）本刊官方网址为cpc.ihep.ac.cn和https://iopscience.iop.org/journal/1674-1137
（2）本刊采编系统作者中心是投稿的唯一路径，该系统为ScholarOne远程稿件采编系统，仅在本刊投稿网网址（https://mc03.manuscriptcentral.com/cpc）设有登录入口。本刊不接受其他方式的投稿，如打印稿投稿、E-mail信箱投稿等，若以此种方式接收投稿均为假冒。
（3）所有投稿均需经过严格的同行评议、编辑加工后方可发表，本刊不存在所谓的“编辑部内部征稿”。如果有人以“编辑部内部人员”名义帮助作者发稿，并收取发表费用，均为假冒。
                  
《中国物理C》（英文）编辑部
2024年10月30日
Chinese Physics C> 2017, Vol. 41> Issue(2) : 027001 DOI: 10.1088/1674-1137/41/2/027001

Optimizing the lattice design of a diffraction-limited storage ring with a rational combination of particle swarm and genetic algorithms

  • 1.

     Key Laboratory of Particle Acceleration Physics and Technology, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049

  • In the lattice design of a diffraction-limited storage ring (DLSR) consisting of compact multi-bend achromats (MBAs), it is challenging to simultaneously achieve an ultralow emittance and a satisfactory nonlinear performance, due to extremely large nonlinearities and limited tuning ranges of the element parameters. Nevertheless, in this paper we show that the potential of a DLSR design can be explored with a successive and iterative implementation of the multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA). For the High Energy Photon Source, a planned kilometer-scale DLSR, optimizations indicate that it is feasible to attain a natural emittance of about 50 pm·rad, and simultaneously realize a sufficient ring acceptance for on-axis longitudinal injection, by using a hybrid MBA lattice. In particular, this study demonstrates that a rational combination of the MOPSO and MOGA is more effective than either of them alone, in approaching the true global optima of an explorative multi-objective problem with many optimizing variables and local optima.
      PCAS:
  • 加载中

  • References

    [1] Z. Zhao, Reviews of Accelerator Science and Technology, 3:57(2010)
    [2] D. Einfeld, J. Schaper, and M. Plesko, in Proceeding of PAC'95(Dallas, USA, 1995), p. 177-179
    [3] R. Hettel, J. Synchrotron Radiat., 21:843-855(2014)
    [4] E. Al-Dmour et al, J. Synchrotron Radiat., 21:878-883(2014)
    [5] M. Johansson et al, J. Synchrotron Radiat., 21:884-903(2014)
    [6] P. F. Tavares et al, J. Synchrotron Radiat., 21:862-877(2014)
    [7] L. Liu et al, J. Synchrotron Radiat., 21:904-911(2014)
    [8] Y. Jiao, Y. Cai, and A. W. Chao, Phys. Rev. ST Accel. Beams, 14:054002(2011)
    [9] L. C. Teng, Fermilab Report No. TM-1269, 1984
    [10] Y. Cai, K. Bane, R. Hettel, Y. Nosochkov, M.H. Wang, and M. Borland, Phys. Rev. ST Accel. Beams, 15:054002(2012)
    [11] Y. Jiao and G. Xu, Chin. Phys. C, 37:117005(2013)
    [12] M. Borland et al, J. Synchrotron Radiat., 21:912-936(2014)
    [13] Y. Jiao and G. Xu, Chin. Phys. C, 39:067004(2015)
    [14] L. Farvacque et al, in Proceeding of IPAC2013(Shanghai, China, 2013), p. 79-81
    [15] M. Borland et al, in Proceeding of IPAC2015(Richmond, USA, 2015), p. 1776-1778
    [16] G. Xu, Y. Jiao, and Y.M. Peng, Chin. Phys. C, 40:027001(2016)
    [17] F. Willeke, in Proceeding of IPAC2015(Richmond, USA, 2015), p. 11-16
    [18] Y. Jiao and Z. Duan, Nucl. Instrum. Methods Phys. Res., Sect. A, 841:97-103(2017)
    [19] A. Terebilo, SLAC-PUB-8732, 2001
    [20] L. Nadolski and J. Laskar, Phys. Rev. ST Accel. Beams, 6:114801(2003)
    [21] G. Xu et al, in Proceeding of IPAC2016(Busan, Korea, 2016), WEOAA02
    [22] M. Aiba, M. Bge, F. Marcellini, . Sa Hernndez, and A. Streun, Phys. Rev. ST Accel. Beams, 18:020701(2015)
    [23] Y. Jiao, Chin. Phys. C, 40:077002(2016)
    [24] I. V. Bazarov and C.K. Sinclair, Phys. Rev. ST Accel. Beams, 8:034202(2005)
    [25] L. Yang et al, Nucl. Instrum. Methods Phys. Res., Sect. A, 609:50-57(2009)
    [26] M. Borland et al, in Proceeding of PAC'09(Vancouver, Canada, 2009), p. 3850-3852
    [27] L. Yang, Y. Li, W. Guo, and S. Krinsky, Phys. Rev. ST Accel. Beams, 14:054001(2011)
    [28] W. Gao, L. Wang, and W. Li, Phys. Rev. ST Accel. Beams, 14:094001(2011)
    [29] Z. Bai, L. Wang, and W. Li, in Proceeding of IPAC2011(San Sebastin, Spain, 2011), p. 2271-2273
    [30] X. Pang and L.J. Rybarcyk, Nucl. Instrum. Methods Phys. Res., Sect. A, 741:124-129(2014)
    [31] X. Huang and J. Safranek, Nucl. Instrum. Methods Phys. Res., Sect. A, 757:48-53(2014)
    [32] K. Deb, IEEE Trans. Evol. Comput., 6:182(2002)
    [33] S. K. Tian, HEPS internal report, 2016
    [34] J. Laskar, in Proceeding of PAC'03(Portland, USA, 2003), p. 378-382

  • Access

    加载中

Get Citation
Yi Jiao and Gang Xu. Optimizing the lattice design of a diffraction-limited storage ring with a rational combination of particle swarm and genetic algorithms[J]. Chinese Physics C, 2017, 41(2): 027001. doi: 10.1088/1674-1137/41/2/027001
Yi Jiao and Gang Xu. Optimizing the lattice design of a diffraction-limited storage ring with a rational combination of particle swarm and genetic algorithms[J]. Chinese Physics C, 2017, 41(2): 027001.  doi: 10.1088/1674-1137/41/2/027001 shu
Milestone
Received: 2016-07-26
Fund

    Supported by NSFC (11475202, 11405187) and Youth Innovation Promotion Association CAS (2015009)

Article Metric

Article Views(1514)
PDF Downloads(50)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Optimizing the lattice design of a diffraction-limited storage ring with a rational combination of particle swarm and genetic algorithms

    Corresponding author: Yi Jiao,
  • 1. Key Laboratory of Particle Acceleration Physics and Technology, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049
  • Received Date: 2016-07-26
  • Available Online: 2017-02-05
Fund Project:  Supported by NSFC (11475202, 11405187) and Youth Innovation Promotion Association CAS (2015009)

Abstract: In the lattice design of a diffraction-limited storage ring (DLSR) consisting of compact multi-bend achromats (MBAs), it is challenging to simultaneously achieve an ultralow emittance and a satisfactory nonlinear performance, due to extremely large nonlinearities and limited tuning ranges of the element parameters. Nevertheless, in this paper we show that the potential of a DLSR design can be explored with a successive and iterative implementation of the multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA). For the High Energy Photon Source, a planned kilometer-scale DLSR, optimizations indicate that it is feasible to attain a natural emittance of about 50 pm·rad, and simultaneously realize a sufficient ring acceptance for on-axis longitudinal injection, by using a hybrid MBA lattice. In particular, this study demonstrates that a rational combination of the MOPSO and MOGA is more effective than either of them alone, in approaching the true global optima of an explorative multi-objective problem with many optimizing variables and local optima.

    HTML

Reference (34)

目录

Link
IOPScience
SCOAP3
arXiv
Chinese Physical Society
Journal information
Introduction
Editorial Board
Others
Subscribe
Contact us
QQ: 1307685413
Tel: +86-010-88235947
Fax: +86-010-88233126
E-mail: cpc@ihep.ac.cn

  • CPC Website

  • IOP Website

  • CPC WeChat

Copyright © Institute of High Energy Physics, Chinese Academy of Sciences, 19B Yuquan Road, Beijing 100049, China 京ICP备05002789号-1

Supported by: Beijing Renhe Information Technology Co. Ltd  E-mail: info@rhhz.net

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return