1 Capability of WARP-POSINST for ILC Electron Cloud Calculations Christine Celata Lawrence Berkley National Laboratory also: Marco Venturini, Miguel Furman,

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Presentation transcript:

1 Capability of WARP-POSINST for ILC Electron Cloud Calculations Christine Celata Lawrence Berkley National Laboratory also: Marco Venturini, Miguel Furman, Jean-Luc Vay for information contact Chris Celata

2 What do we bring? (1) Posinst Code (Furman, Pivi) : Main Strength: Build-up and decay of e – cloud Detailed model of secondary emission Good agreement with measurements at APS and PSR however: many input parameters not well known 2D, and not self-consistent (2) Plasma Physics Code, WARP (Vay, Friedman, Grote) : Applied to PEP-II, LHC, RHIC, FNAL MI self-consistent physics (beam  electrons) – PIC code 3D accurate space charge calculation good accelerator model

3 WARP has many well-tested features … Geometry:3D, (x,y), or (r,z) Field solvers: FFT, capacity matrix, multigrid Boundaries: “cut-cell” --- no restriction to “Legos” Bends: “warped” coordinates; no “reference orbit” Lattice: general; takes MAD input -solenoids, dipoles, quads, sextupoles, … -arbitrary fields, acceleration Diagnostics: Extensive snapshots and histories Parallel: MPI Python and Fortran: “steerable,” input decks are programs Gas desorption & ionization

4 and new features advancing the state of the art... Adaptive mesh refinement x 20,000 speedup for LHC Z (m) R (m) Beam coming off source x 11 speedup New electron mover solution to following electrons without resolving gyromotion x 25 speedup

5 Interpolating between drift kinetics and full PIC enables efficient following of particles in regions of weak and strong B Problem:Electron gyro timescale << other timescales of interest Solution: Interpolation between full-particle dynamics (Boris mover) and drift kinetics (motion along B plus drifts). Particular choice:  1/[1+(  c  t/2) 2 ] 1/2 gives: - physically correct “gyro” radius at large  c  t - correct drift velocity and parallel dynamics Speedup of factor of 25 without loss in accuracy!

6 We have merged WARP and POSINST WARP POSINST field calculator ion mover image forces electron source modules kicks from beam diagnostics lattice description x i, v i interpreter & user interface electron mover

7 The code has several models of different complexity (1) POSINST mode electrons evolve (full space charge model), beam non-dynamic (2) Slice mode 2D transverse slice of beam followed (3) Quasistatic mode (like Headtail, Quickpik) assumes steady flow of “new” electrons electrons evolved using 2D forces of (static) beam then beam evolved using 3D forces due to electrons (4) 3D, self-consistent space charge

The Heavy Ion Fusion Virtual National Laboratory 8 WARP-POSINST has been benchmarked by the High Current Experiment (HCX) at LBNL ESQ injector Marx matching 10 ES quads diagnostics ESQ injector 10 Electrostatic quads diagnostics 4 Magnetic quads Parameters K + Beam Amp MeV 4.5  s pulse See talk by Art Molvik

9 A short quadrupole section is heavily instrumented for ecloud experiments INJECTORMATCHING SECTION ELECTROSTATIC QUADRUPOLES MAGNETIC QUADRUPOLES Focus of Current Electron Cloud Experiments (2 m length) 1 MeV K +, 0.18 A, t ≈ 5  s, 6x10 12 K + /pulse low energy heavy ions 2 m

The Heavy Ion Fusion Virtual National Laboratory 10 P. Seidl, HB2004, Oct 19, ‘04 Diagnostics in two magnetic quadrupole bores, & what they measure. MA4 MA3 8 “paired” Long flush collectors (FLL): measures capacitive signal + collected or emitted electrons from halo scraping in each quadrant. 3 capacitive probes (BPM); beam capacitive pickup ((n b - n e )/ n b ). 2 Short flush collector (FLS); similar to FLL, electrons from wall. 2 Gridded e - collector (GEC); expelled e - after passage of beam 2 Gridded ion collector (GIC): ionized gas expelled from beam BPM (3) BPM FLS(2) FLS GIC (2) GIC Not in service FLS GEC

The Heavy Ion Fusion Virtual National Laboratory 11 P. Seidl, HB2004, Oct 19, ‘04 Biased rings work as both electron suppressors and diagnostics (a) (b)( c) Capacitive Probe Clearing electrodes K + beam Suppressor e - from end One experiment:Ion beam hits plate at experiment end. Copious electrons flow upstream through the beam.

12 Code* HCX data (a)(b) (c) (qf4) (a) (b)(c) 200mA K + e-e- +9kV +9kV +9kV 0V (qf4) Images Collected Emitted Sum Agreement between simulation & data is very good End suppressor off. Electrons flood end of machine. * WARP-POSINST

US LHC Accelerator Research Program Simulation discovered oscillation ( ~5 cm) growing from near center of 4th quad. magnet. Seen also in experiment. WARP-3D T = 4.65  s OscillationsElectrons bunching Beam ions hit end plate (a)(b)(c) e-e- 0V 0V 0V/+9kV 0V MA4MA3MA2MA1 200mA K + 200mA K + Electrons ~6 MHz signal in (C) in simulation AND experiment (c) time (  s) 6. WARP HCX I (mA) Potential contours 1.Good test of secondary module - no secondary electrons: 2.Simulation run time ~3 days (Mac), - without new electron mover and MR, run time would be ~1-2 months! 1.Good test of secondary module - no secondary electrons: 2.Simulation run time ~3 days (Mac), - without new electron mover and MR, run time would be ~1-2 months! WARP HCX (c) time (  s) 6. I (mA)

14 WARP/POSINST is being used to study e-cloud in LHC FODO cell (Vay, Furman) SPS sees surprisingly long-lasting e-cloud (~ second) “Slow” (10% in 10 6 turns) emittance growth may be a problem The problem: Simulate “multibunch, multiturn” passage of beam through FODO cell (100 m): dipoles quadrupoles drifts Electrons  synchrotron radiation, secondary emission Study: Electron accumulation and trapping in quads Power deposition from electrons Emittance growth

US LHC Accelerator Research Program WARP-POSINST LHC Simulation (Vay, Furman) Three-dimensional fully self-consistent (t- dependent) 5 Bunches. Electrons color-codes for density. Beam bunches yellow. Quadrupoles Drifts Bends WARP/POSINST-3D T = 300.5ns 1 LHC FODO cell (~107m) - 5 bunches - periodic BC (longitudinal)

16 Proposed Program - Ecloud in DR Wiggler All are self-consistent, and 3D unless noted otherwise. Ecloud only in wiggler. 1. 2D vs. 3D - 1 bunch pass through wiggler  How good are 2D calculations? then: add more bunches, offset some bunches 2. Head-tail instability - 1 bunch through wiggler ~1000 times. “New” electrons each time. Benchmarks code vs. other codes & checks for new effects 3. Effect of gaps and resultant ecloud - bunch train with gaps 4. Electron cloud & beam in wiggler - single bunch train with ecloud from #3. Follow for ~1000 turns.

17 Computer Time will be Requested (‘07) 1. 2D vs. 3D 2. Head-tail instability 3. Effect of gaps and resultant ecloud 4. Electron cloud & beam in wiggler Processor hours per run ,000 60, ,000 We will need NERSC processor hours! CPU time is estimate-- depends on problem.

18 Summary We have a unique capability in POSINST + WARP: a 3-D code with accurate space charge & good electron models, benchmarked against experiment. The code suite incorporates new algorithms that, depending on the problem, can make it factors of up to ~ 40,000 x faster than other 3D codes. It can be used to benchmark codes using more approximate models, and to investigate problems that require exact models or 3D. We must start with simple problems to first obtain correct numerical parameters. We have a step-by-step program then to investigate DR ecloud physics.