Sabrina Appel, GSI, Beam physics Space charge workshop 2013, CERN

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Sabrina Appel, GSI, Beam physics Space charge workshop 2013, CERN Simulation of space charge effects during multiturn injection with the codes PATRIC and pyORBIT Sabrina Appel, GSI, Beam physics Space charge workshop 2013, CERN

Outline SIS18 upgrade program for FAIR: Optimization of the multiturn injection Multiturn injection into SIS18: Horizontal betatron stacking Simulation code: PATRIC pyORBIT MTI simulation studies Comparison between codes (low and high current) Comparison between experiments and simulations (low current) Summary and Outlook

SIS18 upgrade program Optimization of the MultiTurn Injection (MTI) SIS18 upgrade to increase the beam intensity SIS100/300 SIS18 UNILAC Crucial point: Optimization of MTI Minimal beam loss: To achieve design intensities Dynamic vacuum pressure Max. number of inj. turns are limited by SIS18 acceptance and UNILAC beam emittance UNILAC SIS18 Reference primary ion U28+ Reference energy (MeV) 11.4 200 Ions per bunch/cycle 1.5E10 1.5E11 Hor. Emittance (rms) 2-3 50 Development of detailed simulation model Validation of the current model used in operation control program (SISMODI) Comparison between experiments and simulations for low and high currents Impact of space charge on MTI efficiency

Multiturn injection into SIS18 ”Horizontal betatron Stacking” X’ X xs Septum Injected beamlet Deformed closed orbit Rotation in phase space (Qx) Anode Cathode 300 kV SIS18 electrostatic injection septum Liouvile’s theorem: Injection only into free phase space Betatron oscillation and changing of orbit bump  free phase space Loss of ions at the septum due to the betatron oscillation Dilution during injection

Simulation code PArticle TRackIng Code (PATRIC) Pic class (representation of particles) Number of particles increases during injection and decreases by losses SectorMap + BeamLine class (container for ion optical elements) Input from MADX (thick lens) Transport of particles … RB QF QD Several classes to represent particle kicks Self-consistent space charge kicks Poisson’s equation is solved on 2D transverse grid … RB QF QD Bump class (represents injection kickers)

PATRIC Code: Space charge solver sm: position in the lattice z: longitudinal position in the bunch y M(sm|sm+1) ∆sm << betatron wave length s Sliced bunch The transfer maps M are ‘sector maps’ taken from MADX. z MPI send/receive to neighbor slices slice-length: ∆z≠∆s x macro- slice ghost layers 2D grids 2D space charge field for each slice: (3D bi-linear interpolation) (fast 2.5D Poisson solver) 3D Grid-> Particle / Particle->Grid interpolation Transverse potential obtained for the 2D grid at z and lattice position s: Grid slices “feel” all other slices O. Boine-Frankenheim, ICAP 2012

Simulation code Python Obiective Ring Beam Injection and Tracking (pyORBIT) Bunch class (representation of particles) Number of particles increases during injection and decreases by losses Teapot class (container for ion optical elements) Input from MADX (thin lens) Notes for optical elements + collimator, injection, sc, … … RB QF QD Space charge solver Self-consistent space charge kicks Poisson’s equation is solved on 2D transverse grid … RB QF QD Kickernodes class (represents injection kickers)

PyORBIT: Transverse Space Charge z y x Solving Poisson equation on 2D grid Transverse momentum kicks between lattice elements Particles are binned in 2D rectangular grid (momentum-conserving interpolation scheme) Fast FFT solver Space charge direct force solver Particle kicks are obtained by interpolating the potentials Kicks are weighted by local longitudinal density (bunch factor) Source: Talks by S. Cousineau and J.A. Holmes, ORNL

MTI simulation studies Comparison between codes KV+ Coasting beam Injection of 20 beamlets Linear orbit bump reduction Linear SIS18 lattice Collimation only at septum Simulation settings: The loss maxima are located at 0, 1/2, 1/3, 1/4 Both codes show the resonant character With space charge the maxima and minima of the efficiency are shifted Codes are in good agreement for loss calculation

MTI simulation studies Comparison between codes Movie of a MTI without space charge effects PATRIC pyORBIT Kaleidoscope images at injection point

MTI simulation studies Comparison between codes Movie of a MTI with space charge effects PATRIC pyORBIT Kaleidoscope images at injection point

MTI simulation studies Comparison between experiments and simulations Machine settings of xc= 85 mm and Δxc=2.5 mm per turn SISMODI Model Measured beamlet emittance Injection of 21 beamlets Simulation settings: Measurement results provided by Y. El-Hayek, GSI Low current, no sc effects Error bars: current fluctuation The loss maxima are located at the same fractional tunes Measurement and simulations are in good agreement

Summary Summary: Comparison between codes For loss calculation in good agreement Comparison between experiments and simulation For low beam currents a good agreement is obtained Impact of space charge on MTI efficiency Strongly changes the particle distribution Affects the losses (strength depends on the horizontal tune)