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Non-Sympl Symplect ectic ic PIC IC for Long Term Spac ace-Charge - PowerPoint PPT Presentation

Co Comparis arison on of Symple lectic ctic PIC IC, Symplect lectic ic Gridle less ss Par Particle, le, an and Non-Sympl Symplect ectic ic PIC IC for Long Term Spac ace-Charge Charge Simula ulation tion Ji Qiang Accelerator


  1. Co Comparis arison on of Symple lectic ctic PIC IC, Symplect lectic ic Gridle less ss Par Particle, le, an and Non-Sympl Symplect ectic ic PIC IC for Long Term Spac ace-Charge Charge Simula ulation tion Ji Qiang Accelerator Technology and Applied Physics Division Lawrence Berkeley National Laboratory Space ce-Char Charge ge Work rksho hop p 2017 Oc Oct. 4-6, 2017, TUD, Darmstadt, tadt, Germany

  2. A Symplectic Multi-Particle Tracking Model (1) multi-particle Hamiltonian external focusing/acceleration space-charge Coulomb potential A formal single step solution H = H 1 +H 2 J. Qiang , “A Symplectic Multi-Particle Tracking Model for Self-Consistent Space- Charge Simulation,” Phys. Rev. ST Accel. Beams 20, 014203 (2017). 2

  3. A Symplectic Multi-Particle Tracking Model (2) 2 nd order: 4 th order: higher order: M is the Jacobi Matrix of M Symplectic condition: Refs: E. Forest and R. D. Ruth, Physica D 43, p. 105, , 1990. . H. Yoshida, Phys. Lett. A 150, , p. 262, , 1990. . 3 3

  4. A Symplectic Multi-Particle Tracking Model (3) M 1 • symplectic map for H 1 can be found from charged particle optics method M 2 To satisfy the symplectic condition: M 2 will be sympl mplectic ctic if p i is updated from H 2 an anal alyti ticall cally 4

  5. Self-Consistent Space-Charge Transfer Map (1) 5

  6. Self-Consistent Space-Charge Transfer Map (2) 6

  7. Self-Consistent Space-Charge Transfer Map (3) 7

  8. Symplectic Gridless Particle Model w is the particle charge weight M 2 8

  9. Symplectic PIC Model (1) 9

  10. Symplectic PIC Model (2) 10

  11. Symplectic PIC Model (3) M 2 11

  12. Non-Symplectic PIC Model 12

  13. Benchmark Case 1: FODO Lattice, Below 2 nd Order Envelop Instability • 1 GeV proton beam • FODO lattice • 0 current phase advance: 85 degrees • Initial 4D Gaussian distribution 13

  14. Significant Difference in Final 4D Emittances Between the Symplectic and the Non-Symplectic Methods (Strong Space-Charge: Phase Advance Change 85 -> 42) symplectic gridless symplectic PIC spectral PIC Two symplectic approaches show good agreement. 14

  15. Final Beam X-Px Phase Spaces Have Similar Shapes Non-Symplectic Model Has Smaller Area symplectic gridless symplectic PIC spectral PIC 15

  16. Final Y-Py Phase Space Show Similar Shapes symplectic gridless symplectic PIC spectral PIC 16

  17. Finer Step Size Needed for Non-Symplectic PIC (Symplectic PIC vs. Non-Symplectic PIC) 1/4 step size 1/2 step size nominal step size 17

  18. Final Transverse Phase Space: Symplectic PIC vs. Spectral PIC Symplectic PIC Spectral PIC 18

  19. Benchmark Case 2: 1 Turn = 10 FODOs + 1 Sextupole • 0 current tune 2.417 • sextupole KL = 10 T/m/m 19

  20. Non-Symplectic PIC Shows Much Less Emittance Growth Compared with Two Symplectic Models (4D Emittance Evolution with Different Currents) symplectic gridless symplectic PIC 30 A 20 A 10 A spectral PIC 20

  21. Final Beam X-Px Phase Spaces Have Similar Shapes symplectic gridless symplectic PIC spectral PIC 21

  22. Final Beam Y-Py Phase Spaces Have Similar Shapes symplectic gridless symplectic PIC spectral PIC 22

  23. Computational Complexity • Symplectic PIC/Spetral PIC: O(Np) + O(Ng log(Ng)), parallelization can be a challenge • Symplectic gridless particle: O(Nm Np), easy parallelization Z. Liu and J. Qiang , “ Symplectic multi- particle tracking on GPUs,” submitted to Computer Physics Communications, 1997. 23

  24. Summary Using the same step size, same number of modes, with • sufficient grid points, the symplectic PIC and the symplectic gridless particle model agree with each other very well. • Using same step size, the non-symplectic PIC yields significantly different emittance growth. All three models show similar final phase space shapes. • • Using sufficient small step size, all three methods converge to the similar emittance growth (Is this too optimistic?) • For small number of modes and particles used, the symplectic gridless particle model can be computationally efficient; otherwise, the symplectic PIC model would be more efficient. Thank You! 24

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