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Warp -POSINST is used to investigate e-cloud effects in the SPS

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Warp -POSINST is used to investigate e-cloud effects in the SPS. Warp quasistatic model similar to HEADTAIL, PEHTS, QuickPIC , CMAD. . 2-D slab of electrons. parallellized using pipelining. proc 1 2 N/2 N/2+1 N-1 N - PowerPoint PPT Presentation
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1 Warp-POSINST is used to investigate e- cloud effects in the SPS Beam ions Electrons Spurious image charges from irregular meshing controlled via guard cells true sec. back-scattered elastic re-diffused Posinst provides advanced secondary electrons model Monte-Carlo generation of electrons with energy and angular dependence. Warp’s mesh refinement & parallelism provide efficiency 2-D slab of electrons 3-D beam s proc 1 2 N/2 N/2+1 Station n n+1 n+N/2-1 n-N/2 n+N-2 n+N-1 sistatic model similar to HEADTAIL, PEHTS, QuickPI parallellized using pipelining
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Page 1: Warp -POSINST is used to  investigate e-cloud effects in the SPS

1

Warp-POSINST is used to investigate e-cloud effects in the SPS

Beam ions Electrons

Spurious image charges from irregular meshing

controlled via guard cells

true sec.

back-scattered elastic

re-diffused

Posinst provides advanced secondary electrons model

Monte-Carlo generation of electrons

with energy and angular dependence.

Warp’s mesh refinement & parallelism provide efficiency

2-D slab of electrons

3-D beam sproc 1 2 N/2 N/2+1 N-1 NStation 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

Page 2: Warp -POSINST is used to  investigate e-cloud effects in the SPS

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– Bunch• energy W=26. GeV• population Np=1.11011

• RMS length z=0.23 m (Gaussian profile)• momentum spread p/p=210-3

• 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. Qx,y=0.,0.

– // : continuous focusing• momentum compaction factor =1.9210-3

• cavity voltage V = 2 MV• cavity harmonic number h = 4620.

– assumed 100% dipole– Bunch-to-bunch feedback system in horizontal plane (gain=0.1)– 10 interaction stations/turns

Simulation parameters for SPS at injection

Page 3: Warp -POSINST is used to  investigate e-cloud effects in the SPS

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Warp and Posinst have been further integrated, enabling fully self-consistent simulation of e-cloud effects: build-up & beam dynamics

CERN SPS at injection (26 GeV)

Turn

1Tu

rn 5

00

Page 4: Warp -POSINST is used to  investigate e-cloud effects in the SPS

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Warp-Posinst enabled first direct simulation of a train of 3x72 bunches -- using 9,600 CPUs on Franklin supercomputer (NERSC, U.S.A.)

Substantial density rise in tails of batches between turns 0 and 800.

Average electron cloud density history at fixed station

Substantial density rise in tails of batches between turns 0 and 800.J.-L. Vay, et al, IPAC12 Proc., (2012) TUEPPB006

Page 5: Warp -POSINST is used to  investigate e-cloud effects in the SPS

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Rise also observed on e- density on axis

On axis electron cloud density history at fixed station

E- density on axis doubled between turns 400 and 600.

x2 between turns 400 and 600

Page 6: Warp -POSINST is used to  investigate e-cloud effects in the SPS

E-cloud density raise coincides with growth of vertical emittance

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=> Positive coupling between the e-cloud buildup and the bunches dynamical response.

Page 7: Warp -POSINST is used to  investigate e-cloud effects in the SPS

Pattern of stripes in the history of vertical bunch offsets

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phase of the oscillations is not purely random

E-cloud provides coupling between bunches.

Vertical offset (mm)

Page 8: Warp -POSINST is used to  investigate e-cloud effects in the SPS

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Frac

tiona

l tun

e

Comparison with experimental measurements -- collaboration with SLAC/CERN

Good qualitative agreement: separation between core and tail with similar tune shift.

Warp is also applied to study of feedback control system (R. Secondo in collaboration with SLAC)

Warp-Posinst2

Bunch 29, Turn 100-200

head tail head tail

Frac

tiona

l tun

e

Bunch slice

Experiment1

Bunch 119, Turn 100-200

Nominal fractional tune=0.185Bunch slice

1J. Fox, et al, IPAC10 Proc., p. 2806 (2011) 2J.-L. Vay, et al, Ecloud10 Proc., (2010)


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