electron cloud build up studies for the clic positron damping ring
DESCRIPTION
Electron cloud build up studies for the CLIC positron damping ring. G. Iadarola , G. Rumolo , H. Bartosik. Thanks to: F. Antoniou, E. Koukovini-Platia, Y. Papaphilippou. CLIC Workshop 2014 CERN, 5 February 2014. Outline. Introduction - PowerPoint PPT PresentationTRANSCRIPT
Electron cloud build up studies for the CLIC positron damping ring
G. Iadarola, G. Rumolo, H. Bartosik
Thanks to:F. Antoniou, E. Koukovini-Platia, Y. Papaphilippou
CLIC Workshop 2014
CERN, 5 February 2014
Outline
• Introduction
o CLIC Damping Ring machine elements and beam scenarios
• e-cloud buildup simulation with PyECLOUD
o Peculiarities of simulations for low emittance rings
• Features of the e-cloud buildup in the CLIC DR machine elements
o Wigglers
o Dipoles
o Quadrupoles
Outline
• Introduction
o CLIC Damping Ring machine elements and beam scenarios
• e-cloud buildup simulation with PyECLOUD
o Peculiarities of simulations for low emittance rings
• Features of the e-cloud buildup in the CLIC DR machine elements
o Wigglers
o Dipoles
o Quadrupoles
Introduction
When the an accelerator is operated with close bunch spacing an Electron Cloud
(EC) can develop in the beam chamber due to the Secondary Emission from the
chamber’s wall.
0 200 400 600 800 10000.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Primary e- energy [eV]
Seco
ndar
y El
ectro
n Yi
eld
[SEY
]
SEYmax
Secondary Electron Yield (SEY) of the
chamber’s surface:
• ratio between emitted and impacting
electrons
• function of the energy of the primary
electron
Introduction
When the an accelerator is operated with close bunch spacing an Electron Cloud
(EC) can develop in the beam chamber due to the Secondary Emission from the
chamber’s wall.
• Strong impact on beam quality (EC
induced instabilities, particle losses,
emittance growth)
• Dynamic pressure rise
• Heat load (on cryogenic sections)
LHC Dipole chamber @ 7TeV
Injected(εx, εy) = (63 μm, 1.5 μm)
Extracted(εx, εy) = (500 nm, 5 nm)
CLIC e+ damping ring
CLIC e+ damping ring
C = 427.5 m
Wigglera=40mm, b=6mm
Ltot = 104 m
Dipole a=40mm, b=9mm
Ltot = 58 m
Quadrupolea=9mm, b=9mm
Ltot = 86 m
e-cloud formation has been investigated in three families of devices
CLIC e+ damping ring
Studies performed with parameters of beam before extraction:
• Beam energy: 2.86 GeV• Bunch population: 4x109 e+
• Transverse emittances (εx, εy): (500 nm, 5 nm)
• Two bunch patterns:
0.5 ns bunch spacing – b.l. = 6.4 mm
156 b. 556 empty buckets 156 b. 556 empty buckets
312b. 2538 empty buckets
1.0 ns bunch spacing – b.l. = 7.2 mm
Trev = 1.425 μs
Outline
• Introduction
o CLIC Damping Ring machine elements and beam scenarios
• e-cloud buildup simulation with PyECLOUD
o Peculiarities of simulations for low emittance rings
• Features of the e-cloud buildup in the CLIC DR machine elements
o Wigglers
o Dipoles
o Quadrupoles
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
PyECLOUD simulation recipe
Evaluate the e- space charge electric field
PyECLOUD is a 2D macroparticle (MP) code for
the simulation of the electron cloud build-up with:
• Arbitrary shaped chamber
• Ultra-relativistic beam
• Arbitrary magnet configuration
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
Evaluate the e- space charge electric field
Evaluate the number of seed e- generated
during the current time step and generate
the corresponding MP:
• Residual gas ionization and
photoemission are implemented
PyECLOUD simulation recipe
x [mm]
y [m
m]
E log(normalizad magnitude) - with image charges
-60 -40 -20 0 20 40 60
-20-10
01020
-4
-3
-2
-1
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
Evaluate the e- space charge electric field
• The field map for the relevant chamber
geometry and beam shape is pre-computed
on a suitable rectangular grid or loaded
from file in the initialization stage
PyECLOUD simulation recipe
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
Evaluate the e- space charge electric field
Classical Particle In Cell (PIC) algorithm:
• Electron charge density distribution ρ(x,y)
computed on a rectangular grid
• Poisson equation solved using finite
difference (FD) method
• Field at MP location evaluated through
linear (4 points) interpolation
PyECLOUD simulation recipe
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
Evaluate the e- space charge electric field
The dynamics equation is integrated in order
to update MP position and momentum:
PyECLOUD simulation recipe
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
Evaluate the e- space charge electric field
• When a MP hits the wall
theoretical/empirical models are
employed to generate charge, energy
and angle of the emitted charge
PyECLOUD simulation recipe
t=t+Δt
Evaluate the electric field of beam at each MP location
Generate seed e-
Compute MP motion (t->t+Δt)
Detect impacts and generate secondaries
Evaluate the e- space charge electric field
PyECLOUD simulation recipe
Simulations for the CLIC e+ Damping Ring
Bunch length ~20 ps
Δt = 0.5 ps necessary to resolve the e-pinch
~3x109 steps for a full turn (~36 h CPU time)
Beam and electron distributions at the limit of
present capabilities of the code
Beam field
x [mm]
y [m
m]
E log(normalizad magnitude) - with image charges
-60 -40 -20 0 20 40 60
-20-10
01020
-4
-3
-2
-1LHC: Aperture = 100 x σbeam
CLIC-DR: Aperture = 10000 x σbeam
Finite Difference calculation unaffordable resorted to analytical expression for Gaussian beam in elliptical chamber:
2
20 0
2( , ) ( , )x yi zE x y iE x y e w wS S S
2 22 x yS y x
x yx i y
x y
x yi
Bassetti-Erskine formula
where:
Image terms (effect of bundary)2
. . . .1
4 ( 1) sinh(2 )( , ) ( , )cosh(2 ) sinh( )
cnn
i c x i c yn c
e nqE x y iE x yg n q
2 2g a b logca ba b
with: a b
where: q i cosh cosx g sinh siny g
+For the CLIC wiggler chamber (a/b=6.6)
150 terms needed for convergence
e-cloud space charge field
• In the cases of wigglers and dipoles e-
accumulate in a narrow stripe close to the
beam
• Fine grid needed for Finite Difference
Poisson solver (Δh = 50 um, 1e5 nodes),
run many times during the simulation
• LU factorization of the FD (sparse) matrix
pre-calculated in the initialization stage to
speed-up the calculation*
*As proposed in: O. Haas, “Electron Cloud Modeling and Coupling to Tracking Codes”, joined CERN/TU Darmstadt e-cloud meeting (16/12/2013)
During the bunch passage electric field due
to the e- is completely negligible
• In the cases of wigglers and dipoles e-
accumulate in a narrow stripe close to the
beam
• Fine grid needed for Finite Difference
Poisson solver (Δh = 50 um, 1e5 nodes),
run many times during the simulation
• LU factorization of the FD (sparse) matrix
pre-calculated in the initialization stage to
speed-up the calculation*
• e- field map re-evaluated only every
Δtsc=0.02ns (≈b.l.)
Cut on chamber’s positive semiaxis
*As proposed in: O. Haas, “Electron Cloud Modeling and Coupling to Tracking Codes”, joined CERN/TU Darmstadt e-cloud meeting (16/12/2013)
e-cloud space charge field
Outline
• Introduction
o CLIC Damping Ring machine elements and beam scenarios
• e-cloud buildup simulation with PyECLOUD
o Peculiarities of simulations for low emittance rings
• Features of the e-cloud buildup in the CLIC DR machine elements
o Wigglers
o Dipoles
o Quadrupoles
e-cloud in the wiggler magnets
• Threshold lower for 0.5 ns (mainly due to faster risetime)
1 1.2 1.4 1.6 1.810-3
10-2
10-1
100
101
102
SEY
Hea
t loa
d [W
/m]
wiggler_0p5ns_heatload_vs_SEY_nomint
1.0 ns0.5 ns
0 0.5 1
106
108
1010
Time [us]
Num
ber
of e
- per
uni
t len
gth
[m-1
]
SEY = 1.8
1.0 ns0.5 ns
1 1.2 1.4 1.6 1.810-3
10-2
10-1
100
101
102
SEY
Hea
t loa
d [W
/m]
wiggler_0p5ns_heatload_vs_SEY_nomint
1.0 ns0.5 ns
• Threshold lower for 0.5 ns (mainly due to faster risetime)
• Large e- densities (>1e13) at the beam location (severe effects on beam quality/stability)
• e- horizontally confined in a narrow region around the beam (local low SEY coating or
clearing electrode for full e-cloud suppression)
e-cloud in the wiggler magnets
1 1.2 1.4 1.6 1.810-3
10-2
10-1
100
101
SEY
Hea
t loa
d [W
/m]
dipoles_0p5ns_heatload_vs_SEY_nomint
1.0 ns0.5 ns
• Threshold lower for 0.5 ns (mainly due to faster risetime)
• Large e- densities (>1e13) at the beam location (severe effects on beam quality/stability)
• e- horizontally confined in a narrow region around the beam (local low SEY coating or
clearing electrode for full e-cloud suppression)
e-cloud in the dipole magnets
0 0.5 1106
107
108
109
1010
1011
Time [us]
Num
ber
of e
- per
uni
t len
gth
[m-1
]
0.5 ns - SEY = 1.8
312b.
0 0.5 1106
107
108
109
1010
1011
Time [us]
Num
ber
of e
- per
uni
t len
gth
[m-1
]
1.0 ns - SEY = 1.8
2x156b.
• In the case of the quadrupoles, we noticed that saturation was not achieved
within a single turn, but due to e- trapping it can be reached in a multiturn
regime (not investigated yet)
e-cloud in the quadrupole magnets
• In the case of the quadrupoles, we noticed that saturation was not achieved
within a single turn, but due to e- trapping it can be reached in a multiturn
regime (not investigated yet)
• To get a first idea, we simulated an artificially longer train
0 0.5 1106
107
108
109
1010
1011
Time [us]
Num
ber
of e
- per
uni
t len
gth
[m-1
]
1.0 ns - SEY = 1.8
2x156b.500b.
0 0.5 1106
107
108
109
1010
1011
Time [us]
Num
ber
of e
- per
uni
t len
gth
[m-1
]
0.5 ns - SEY = 1.8
312b.700b.
e-cloud in the quadrupole magnets
1 1.2 1.4 1.6 1.810-2
10-1
100
101
SEY
Hea
t loa
d [W
/m]
300 ns train
1.0 ns0.5 ns
• Threshold lower for 0.5 ns (mainly due to faster risetime)
• Large e- densities (>1e13) at the beam location
• e- move around the quadrupole field line. Multipacting concentrated around the magnet
pole regions (local low SEY coating or clearing electrode for full e-cloud suppression)
e-cloud in the quadrupole magnets
Dependence on bunch population
1 1.2 1.4 1.6 1.8 20
5
10
15
20
25
30
35
SEY
Hea
t loa
d [W
/m]
dipoles_heatload_vs_SEY_lin
1 1.2 1.4 1.6 1.8 20
10
20
30
40
50
60
SEYH
eat l
oad
[W/m
]
dipoles_0p5ns_heatload_vs_SEY_lin
• In the framework of CLIC parameter optimization, different bunch
intensities have been also investigated
• The multipacting threshold shows a weak dependence on the bunch population
• Heat load significantly stronger for intensities larger than nominal
Dipole - 1 ns Dipole - 0.5 ns
1 1.5 2 2.5 310
-4
10-2
100
102
104
SEY
Scr
ubbi
ng d
ose
(20e
V) [
mA
/m]
wiggler_0p5ns_simulated_beam_scrubdose_vs_sey_log_legend
1e9 ppb2e9 ppb3e9 ppb4e9 ppb5e9 ppb6e9 ppb7e9 ppb8e9 ppb9e9 ppb10e9 ppb
1 1.2 1.4 1.6 1.8 20
10
20
30
40
50
SEY
Hea
t loa
d [W
/m]
wiggler_heatload_vs_SEY_lin
1 1.2 1.4 1.6 1.8 20
20
40
60
80
100
120
140
SEY
Hea
t loa
d [W
/m]
wiggler_0p5ns_heatload_vs_SEY_lin
Dependence on bunch population
• In the framework of CLIC parameter optimization, different bunch
intensities have been also investigated
• The multipacting threshold shows a weak dependence on the bunch population
• Heat load significantly stronger for intensities larger than nominal
Wiggler - 1 ns Wiggler - 0.5 ns
1 1.5 2 2.5 310
-4
10-2
100
102
104
SEY
Scr
ubbi
ng d
ose
(20e
V) [
mA
/m]
wiggler_0p5ns_simulated_beam_scrubdose_vs_sey_log_legend
1e9 ppb2e9 ppb3e9 ppb4e9 ppb5e9 ppb6e9 ppb7e9 ppb8e9 ppb9e9 ppb10e9 ppb
Summary and conclusions
• The e-cloud formation in the wigglers, dipoles and quadrupoles of the CLIC e+ damping ring
has been investigated with PyECLOUD simulations
• Quite challenging simulation scenario (very short bunches, extremely small beam size,
electron density concentrated in a small region of the beam pipe)
• Dipoles and wigglers show similar features:
o e- horizontally confined in a narrow region around the beam (local low SEY coating
or clearing electrode for full e-cloud suppression)
o Weak dependence of SEY multipacting threshold on bunch population
• In the quadrupoles e-cloud buildup is slower:
o most likely saturation is reached in more than one turn (still to be fully investigated)
o multipacting concentrated around the magnet pole regions
• large e- densities (>1e13) at the beam location (which can have serious impact on
beam quality see talk by H. Bartosik)
Thanks for your attention!
Dipole
• In the cases of wigglers and dipoles e-
accumulate….
0 0.5 1
106
108
1010
Time [us]
Num
ber
of e
- per
uni
t len
gth
[m-1
]
SEY = 1.8
1.0 ns0.5 ns