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Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 1 Numerical Modeling of E-Cloud Driven Instability and its Mitigation using.

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Presentation on theme: "Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 1 Numerical Modeling of E-Cloud Driven Instability and its Mitigation using."— Presentation transcript:

1 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 1 Numerical Modeling of E-Cloud Driven Instability and its Mitigation using a Simulated Feedback System in the CERN SPS* J.-L. Vay, J. M. Byrd, M. A. Furman, R. Secondo, M. Venturini - LBNL, USA J. D. Fox, C. H. Rivetta - SLAC, USA; W. Höfle - CERN, Switzerland feedback October 8-12, 2010 Cornell University Ithaca, New York USA Electrons Bunch nBunch n-1 Electrons Bunch nBunch n-1 SciDAC-II Compass SciDAC-II Compass

2 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 2 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

3 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 3 Warp: a parallel framework combining features of plasma (Particle-In-Warp) and accelerator codes Geometry: 3D (x,y,z), 2D-1/2 (x,y), (x,z) or axisym. (r,z) Python and Fortran: “steerable,” input decks are programs Field solvers: Electrostatic/Magnetostatic - FFT, multigrid; AMR; implicit Electromagnetic - Yee, Cole-Kark.; PML; AMR Parallel: MPI (1, 2 and 3D domain decomposition) Boundaries: “cut-cell” --- no restriction to “Legos” Lattice: general; non-paraxial; can read MAD files -solenoids, dipoles, quads, sextupoles, linear maps, arbitrary fields, acceleration Bends: “warped” coordinates; no “reference orbit” Particle movers: Boris, large time step “drift-Lorentz”, novel relativistic Leapfrog Reference frame: lab, moving-window, Lorentz boosted Surface/volume physics: secondary e - /photo-e - emission, gas emission/tracking/ionization Diagnostics: extensive snapshots and histories Misc.: trajectory tracing; quasistatic & steady-flow modes; space charge emitted emission; “equilibrium-like” beam loads in linear focusing channels; maintained using CVS repository.

4 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 4 Our simulation framework encompasses the Warp and Posinst PIC codes 2-D slab of electrons 3-D beam s proc 1 2 N/2 N/2+1 N-1 N Station n n+1 n+N/2-1 n-N/2 n+N-2 n+N-1 Warp quasistatic model similar to HEADTAIL, PEHTS, QuickPIC, CMAD. parallellized using pipelining Mesh refinement provides higher efficiency Beam ions Electrons Secondary emission from Posinst: Warp+Posinst integration via Python language. Spurious image charges from irregular meshing controlled via guard cells

5 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 5 Quasistatic mode recently upgraded to handle multiple bunches using MPI groups  MPI groups: 1 bucket = 1 group; each group diagnoses beam in its own bucket  Allowed for minimal changes to the code. Bucket/MPI group # side view top view side view 176 175 174 173 172 171

6 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 6 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

7 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 7 =  =  rms =Q x =Q y =0 Q x =Q y =0 Drift Dipole Warp benchmarked with Headtail w/ LHC parameters

8 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 8 And against Posinst for short CESR-TA wiggler section (approximated by a dipole magnetic field)

9 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 9 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

10 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 10 – Bunch energy W=26. GeV population N p =1.1  10 11 RMS length  z =0.23 m (Gaussian profile) momentum spread  p/p=2  10 -3 transverse normalized emittance  x =  y =2.8 mm.mrad longitudinal normalized emittance  z =0.3 eV.s –  : continuous focusing  beta functions  x,y = 33.85, 71.87  betatron tunes  x,y = 26.13, 26.185 chrom.Q x,y =0.,0. – // : continuous focusing momentum compaction factor  =1.92  10 -3 cavity voltage V = 2 MV cavity harmonic number h = 4620. – assumed 100% dipole – 10 interaction stations/turns SPS at injection

11 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 11 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

12 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 12 Physics of electron interaction with bunches Beam direction 1. Electrons injected here from Posinst dump Beam density (x10 15 ) at t=0 (bunches 35-36 = buckets 176-181) chamber wall 3D view

13 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 13 Physics of electron interaction with bunches 2. Electrons are focused by bunch chamber wall 3D view Electron density (x10 12 m -3 ) at turn 0 (bunches 35-36 = buckets 176-181)

14 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 14 Physics of electron interaction with bunches 3. High-density spikes eject electron jets chamber wall 3D view Electron density (x10 12 m -3 ) at turn 0 (bunches 35-36 = buckets 176-181)

15 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 15 Physics of electron interaction with bunches 4. Secondary emission from impact of e- jets on walls chamber wall 3D view Electron density (x10 12 m -3 ) at turn 0 (bunches 35-36 = buckets 176-181)

16 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 16 Physics of electron interaction with bunches 5. Electrons fill the chamber chamber wall 3D view Electron density (x10 12 m -3 ) at turn 0 (bunches 35-36 = buckets 176-181)

17 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 17 Physics of electron interaction with bunches 6. Electrons interact with next bunch chamber wall 3D view Electron density (x10 12 m -3 ) at turn 0 (bunches 35-36 = buckets 176-181)

18 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 18 Electrons after 500 turns chamber wall Electron density (x10 12 m -3 ) at turn 500 (bunches 35-36 = buckets 176-181) 3D view

19 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 19 Bunches 35 and 36 after 500 turns chamber wall Beam density (x10 15 m -3 ) at turn 500 (bunches 35-36 = buckets 176-181) 3D view

20 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 20 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

21 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 21 Full batch of 72 bunches can now be simulated on available supercomputers  72 bunches*300k macro-particles/bunch = ~22M macro-particles/batch  72 bunches = 360 buckets 360*64 cells ~23,000 cells longitudinally 100k macro-electrons/slice*23k=2.3 billion macro-electrons  Assuming order 1  s/macro-particle push and 8 CPUs/bucket = 2880 CPUs,  order hours runtime for 1000 turns with 10 interaction stations/turn  2880 CPUs for a few hours readily available on 38,122 CPUs NERSC Cray Franklin  Phase II of NERSC Cray Hopper (2011) will have 153,408 CPUs

22 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 22 Average electron cloud density history at fixed station Note: density averaged over entire chamber. Local density is higher.

23 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 23 Fast rising instability develops for bunches 19 and + Spectrum content mostly <0.5GHz Horizontal (X) Vertical (Y) Bunch # Turn # Freq [GHz] Emittance growth  (t)/  (0)-1 Transverse oscillations spectrum 0.5 GHz

24 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 24 Average fractional tune Bunch # xx xx xx xx yy yy yy yy 0-100100-200200-300300-400 0-100100-200200-300300-400 Horizontal (X) Vertical (Y)

25 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 25 Fractional tune over turns 0-100 Bunch # xx xx xx xx yy yy yy yy AverageSlice 22 (tail) Slice 32 (middle) Slice 42 (head)AverageSlice 22 (tail) Slice 32 (middle) Slice 42 (head) Horizontal (X) Vertical (Y)

26 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 26 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

27 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 27 Fractional tune Comparison with experimental measurements  Separation in two parts, core and tail, with tune shift in tail higher than in core  Similar tune shift for the core of the beam but higher with simulations for tail  Effect appears earlier and is stronger in simulations, suggesting that the electron density is higher than in experiment ExperimentWarp-Posinst Bunch 24, Turn 0-100Bunch 119, Turn 100-200 head tail headtail Fractional tune Z slice Nominal fractional tune=0.185

28 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 28 Comparison with experimental measurements - 2  Both expt. and sim. show activity level inversely proportional to frequency  Interesting difference: instability grows in simulation but is already there at turn 0 in experiment ExperimentWarp-Posinst Turn Freq. [GHz] bunch # 24 Spectrum

29 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 29 Outline Simulation codes and benchmarking Application to the modeling of e-cloud effects in the SPS beam dynamics: 2 bunches beam dynamics + EC buildup: 1 batch of 72 bunches comparison with experimental data feedback model Conclusion

30 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 30 Bunches transverse internal structure has fairly long wavelength component Can a feedback system resolving the bunch control the instability? What characteristics are needed, (amplitude, frequency range, noise level, delay, …)? m -3

31 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 31 Simulated feedback model E f is set from estimated velocity offset  v y : predicts y’(t)=  v y /v z from records of centroid offsets at two previous turns y i-1 (t) and y i (t) using linear maps, ignoring longitudinal motion and effects from electrons EfEf LfLf vzvz z y  v y = (q/  m) E f L f /v z Kick in transverse velocity E f = g  v y (  m/q) v z / L f  g  i -1 i i +  with In following results,  =1. (for  =0, same as Byrd PAC95 and Thompson et PAC09) SPS

32 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 32 Tests with finite bandwidth Runs with 5 different digital filters with cutoffs (-3 dB) around 250, 300, 350, 450 and 575 MHZ. With these filters, cutoff>450 MHz needed for maximum damping. cutoff

33 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 33 Tests with 5 pts FIR filter Experiment will use FIR filter (see talks from C. Rivetta and R. Secondo)

34 Ecloud`10, Ithaca, NY, Oct 8-12, 2010 E-cloud feedback simulations - Vay et al. 34 Summary and future work  Fully self-consistent simulations of bunch trains including e-cloud buildup, its effect on the bunches and inter bunch coupling are feasible on today’s supercomputers.  Applied to the modeling of SPS batch of 72 bunches, toward a detailed understanding of the dynamics and control of beam instability via feedback systems.  Some qualitative and semi-quantitative agreement with experiment.  Effective damping from simulated feedback, provided that bandwidth cutoff>450 MHz.  Future work includes: implementation of more realistic feedback models; replace smooth focusing with linear optics; etc.

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