Transverse phase space reconstruction study in Shanghai soft X-ray FEL facility

Abstract

Phase space is one of the most important parameters used to describe beam properties. Computer tomography, as a method for reconstructing phase space and measuring beam emittance, has been used in many accelerators over the past few decades. In this paper, we demonstrate a transverse phase space reconstruction study in the Shanghai soft X-ray free electron laser facility. First, we discuss the basic principles of phase space reconstruction and the advantage of reconstructing beam distribution in normalized phase space. Then, the phase space reconstruction results by different computer tomography methods based on the maximum entropy (MENT) algorithm and the filtered back projection algorithm in normalized phase space are presented. The simulation results indicate that, with proper configuration of the phase advance between adjacent screens, the MENT algorithm is feasible and has good efficiency. The beam emittance and Twiss parameters are also calculated using the reconstructed phase space.

This is a preview of subscription content, log in to check access.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

References

  1. 1.

    S. Rimjaem, G. Asova, J. Bähr et al., Measurements of transverse projected emittance for different bunch charges at PITZ, in Proceedings of FEL2010, Malmö, pp. 410–413

  2. 2.

    G. Asova, H.J. Grabosch, M. Gross et al., First results with tomographic reconstruction of the transverse phase space at PITZ, in Proceedings of FEL2011, Shanghai, pp. 543–546

  3. 3.

    G. Minerbo, MENT: a maximum entropy algorithm for reconstruction a source from projection data. Comput. Vision Graph. 10, 48–68 (1979). https://doi.org/10.1016/0146-664X(79)90034-0

    Google Scholar 

  4. 4.

    C.T. Mottershead, Maximum entropy beam diagnostic tomography. IEEE Trans. Nucl. Sci. 32, 1970–1972 (1985). https://doi.org/10.1109/TNS.1985.4333784

    Article  Google Scholar 

  5. 5.

    K.M. Hock, M.G. Ibison, A study of the maximum entropy technique for phase space tomography. J. Instrum. 8, P02003 (2013). https://doi.org/10.1088/1748-0221/8/02/P02003

    Article  Google Scholar 

  6. 6.

    M.G. Ibison, K.M. Hock, D.J. Holder et al., ALICE tomography section: measurements and analysis. J. Instrum. 7, P04016 (2012). https://doi.org/10.1088/1748-0221/7/04/P04016

    Article  Google Scholar 

  7. 7.

    D. Reggiani, M. Seidel, C.K. Allen, Transverse phase-space beam tomography at PSI and SNS proton accelerators, in Proceedings of IPAC2010, Kyoto, pp. 1128–1130

  8. 8.

    Y.N. Rao, R. Baartman, Transverse phase space tomography in TRIUMF injection beamline, in Proceedings of IPAC2011, San Sebastian, pp. 1144–1146

  9. 9.

    D. Stratakis, R.A. Kishek, H. Li et al., Tomography as a diagnostic tool for phase space mapping of intense partical beams. Phys. Rev. Spec. Topics Accel. 9, 112801 (2006). https://doi.org/10.1103/PhysRevSTAB.9.112801

    Article  Google Scholar 

  10. 10.

    A.C. Kak, M. Slaney, G. Wang, Principles of computerized tomographic imaging. Med. Phys. 29, 106–108 (2001). https://doi.org/10.1137/1.9780898719277

    MATH  Google Scholar 

  11. 11.

    C.B. McKee, P.G. Oshea, J.M.J. Madey, Phase space tomography of relativistic electron beams. Nucl. Instrum. Methods Assoc. 358, 264–267 (1995). https://doi.org/10.1016/0168-9002(94)01411-6

    Article  Google Scholar 

  12. 12.

    D.Z. Huang, Q. Gu, M. Zhang et al., Design study of the linac of the Shanghai soft X-ray free electron laser facility, in Proceedings of FEL 2012, Nara, pp. 141–143

  13. 13.

    M. Borland, Elegant: a flexible SDDS-compliant code for accelerator simulation. Adv. Photon Sour. LS-287, 1–11 (2000). https://doi.org/10.2172/761286

  14. 14.

    K.M. Hock, M.G. Ibison, D.J. Holder et al., A review of beam tomography research at Daresbury Laboratory. Nucl. Instrum. Methods Assoc. (2013). https://doi.org/10.1016/j.nima.2014.03.050

    Google Scholar 

  15. 15.

    K.M. Hock, M.G. Ibison, D.J. Holder et al., Beam tomography in transverse normalized phase space. Nucl. Instrum. Methods Assoc. 642, 36–44 (2011). https://doi.org/10.1066/j.nima.2011.04.002

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Ming-Hua Zhao.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Yu, Q., Gu, D., Zhang, M. et al. Transverse phase space reconstruction study in Shanghai soft X-ray FEL facility. NUCL SCI TECH 29, 9 (2018). https://doi.org/10.1007/s41365-017-0338-0

Download citation

Keywords

  • Emittance
  • Phase space reconstruction
  • MENT algorithm
  • SXFEL