Advertisement

Problem-Solving Environment for Beam Dynamics Analysis in Particle Accelerators

  • Nataliia KulabukhovaEmail author
  • Alexander Bogdanov
  • Alexander Degtyarev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10408)

Abstract

In particle accelerator physics the problem is that we can not see what is going on inside the working machine. There are a lot of packages for modelling the behaviour of the particles in numerical or analytical way. But for most physicists it is better to see the picture in motion to say exactly what is happening and how to influence on this. The goal of this work is to provide scientists with such a problem-solving environment, which can not only do some numerical calculations, but show the dynamics of changes as a motion 3D picture. To do this we use the power of graphical processors from both sides: for general purpose calculations and for there direct appointment – drawing 3D motion. Besides, this environment should analyse the behaviour of the system to provide the user with all necessary information about the problem and how to deal with it.

Notes

Acknowledgements

The authors would like to express gratitude to Vladimir Korkhov for valuable help. And Serge Andrianov for useful explanations of physical processes in accelerators. Scientific research were performed using the equipment of the Research Park of St. Petersburg State University. The work was sponsored by the Russian Foundation for Basic Research under the projects: 16-07-01113 “Virtual supercomputer as a tool for solving complex problems”.

References

  1. 1.
    Raba, N.O., Stankova, E.N.: On the problem of numerical modeling of dangerous convective phenomena: possibilities of real-time forecast with the help of multi-core processors. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2011. LNCS, vol. 6786, pp. 633–642. Springer, Heidelberg (2011). doi: 10.1007/978-3-642-21934-4_51 CrossRefGoogle Scholar
  2. 2.
    Stankova, E.N., Korkhov, V.V., Kulabukhova, N.V., Vasilenko, A.Y., Holod, I.I.: Computational environment for numerical modeling of the results of cloud seeding. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C., Taniar, D., Apduhan, B.O., Stankova, E., Wang, S. (eds.) ICCSA 2016. LNCS, vol. 9788, pp. 454–462. Springer, Cham (2016). doi: 10.1007/978-3-319-42111-7_35 CrossRefGoogle Scholar
  3. 3.
    Makino, K., Berz, M.: COSY INFINITY Version 9. Nuclear Instruments and Methods A558 (2005)Google Scholar
  4. 4.
    Dragt, A.J., Ryne, R.D., et al.: Numerical computation of transfer maps using lie algebraic methods. In: Proceedings of PAC 1987 (1987)Google Scholar
  5. 5.
    Ryne, R.D.: Advanced computing tools and models for accelerator physics. In: Proceedings of EPAC 2008 (2008)Google Scholar
  6. 6.
  7. 7.
  8. 8.
    Dragt, A.J., Ryne, R.D., et al.: MARYLIE 3.0 users manual: a program for charged particle beam transport based on lie algebraic methods. University of Maryland (2003)Google Scholar
  9. 9.
    Paret, S., Qiang, J.: Collisional effects in particle-in-cell beam-beam simulation. In: Proceedings of IPAC 2013. JACOW (2013)Google Scholar
  10. 10.
    Wolfheimer, F., Gjonaj, E., Weiland, T.: Parallel Particle-In-Cell (PIC) codes. In: Proceedings of ICAP 2006. JACOW (2006)Google Scholar
  11. 11.
    Stancari, G., Redaelli, S., Moens, V.: Beam dynamics in an electron lens with the warp Particle-In-Cell code. In: Proceedings of IPAC 2014. JACOW (2014)Google Scholar
  12. 12.
    Giovannozzi, M.: Space-Charge Simulation Using Parallel AlgorithmsGoogle Scholar
  13. 13.
    Bowers, K.J.: Accelerating a Paticle-in-Cell simulation using a hybrid counting sort. J. Comput. Phys. 173, 393–411 (2001)CrossRefzbMATHGoogle Scholar
  14. 14.
    Meerov, I.B., et al.: 3D plasma modelling PIC method on Intel XEON PHI: optimisation and Examples of Use (in Russian), vol. 15. Computational Methods and Programming (2015)Google Scholar
  15. 15.
    Chiu, N.P.C., Kuo, C.H., Chen, J., Cheng, Y.S., Wu, C.Y., Chen, Y.K., Hsu, K.T.: Virtual accelerator development for the TPS. In: Proceedings of IPAC 2010. JACOW (2010)Google Scholar
  16. 16.
    Gu, D., Zhang, M., Gu, Q., Huang, D., Zhao, M.: Development of virtual accelerator environment for beam diagnostics (2014). https://arxiv.org/ftp/arxiv/papers/1401/1401.1889.pdf
  17. 17.
    Gulliford, C., Bazarov, I., Dobbins, J., Talman, R., Malitsky, N.: The NTMAT EPICS-DDS virtual accelerator for the CornellL ERL injector. In: Proceedings of IPAC 2010. JACOW (2010)Google Scholar
  18. 18.
    Malitsky, N., Smith, J., Wei, J., Talman, R.: UAL-based simulation environment for spallation neutron source ring. In: Proceedings of the 1999 Particle Accelerator Conference. JACOW (1999)Google Scholar
  19. 19.
    Sagan, D., et al.: Unified accelerator modeling using the BMAD Software Library. In: Proceedings of IPAC 2011. JACOW (2011)Google Scholar
  20. 20.
    Kulabukhova, N., Andrianov, S.N., Bogdanov, A., Degtyarev, A.: Simulation of space charge dynamics in high intensive beams on hybrid systems. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C., Taniar, D., Apduhan, B.O., Stankova, E., Wang, S. (eds.) ICCSA 2016. LNCS, vol. 9786, pp. 284–295. Springer, Cham (2016). doi: 10.1007/978-3-319-42085-1_22 CrossRefGoogle Scholar
  21. 21.
    Kulabukhova, N.: Software for virtual accelerator environment. In: RuPAC 2012 Contributions to the Proceedings. JACOW (2012)Google Scholar
  22. 22.
    Yamamoto, N.: Use of a virtual accelerator for a development of an accelerator control system (1998). http://accelconf.web.cern.ch/accelconf/pac97/papers/pdf/3P042.PDF
  23. 23.
    Nataliia, K.: Space charge dominated envelope dynamics using GPUs. In: Proceedings of IPAC 2013. JACOW (2013)Google Scholar
  24. 24.
    Kulabukhova, N., Degtyatev, A., Bogdanov, A., Andrianov, S.: Simulation of space charge dynamics on HPC. In: Proceedings of IPAC 2014. JACOW (2014)Google Scholar
  25. 25.
    Qiang, J., Ryne, R.D., Habib, S., Decy, V.: An object-oriented parallel particle-in-cell code for beam dynamics simulation in linear accelerators (2000)Google Scholar
  26. 26.
    Nataliia, K.: GPGPU implementation of matrix formalism for beam dynamics simulation. In: Proceedings of ICAP 2012. JACOW (2012)Google Scholar
  27. 27.
    Bogdanov, A., Ivashchenko, A., Belezeko, A., Korkhov, V., Kulabukhova, N., Khmel, D., Suslova, S., Milova, E., Smirnov, K.: Building a virtual cluster for 3D graphics applications. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C., Taniar, D., Apduhan, B.O., Stankova, E., Wang, S. (eds.) ICCSA 2016. LNCS, vol. 9787, pp. 276–291. Springer, Cham (2016). doi: 10.1007/978-3-319-42108-7_21 CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nataliia Kulabukhova
    • 1
    Email author
  • Alexander Bogdanov
    • 1
  • Alexander Degtyarev
    • 1
  1. 1.Saint-Petersburg State UniversitySt. PetersburgRussia

Personalised recommendations