Bunched-Beam Phase Rotation- Variation and 0ptimization
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Transcript of Bunched-Beam Phase Rotation- Variation and 0ptimization
Bunched-Beam Phase Rotation-Variation and 0ptimization
David Neuffer,A. Poklonskiy
Fermilab
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Talk Intro
“Proprietary” documents:http://www.cap.bnl.gov/mumu/study2a/
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0utline Introduction
Study 2 Study 2A
“High-frequency” Buncher and Rotation Concept Matched cooling channel
Study 2A scenario Match to Palmer cooling section Obtains up to ~0.2 /p
Variations Be absorber (or H2, or …) Shorter rotator (52m 26m), fewer rf frequencies Short bunch train (< ~20m) Optimization ….
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R&D goal: “affordable” e, -Factory
Improve from baseline: Collection
– Induction Linac “high-frequency” buncher
Cooling– Linear Cooling Ring
Coolers(?) Acceleration
– RLA “non-scaling FFAG”
+ e+ + + e
– e– + e + and/or
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Study 2 system Drift to develop Energy- phase
correlation
Accelerate tail; decelerate head of beam (280m induction linacs (!))
Bunch at 200 MHz
Inject into 200 MHz cooling system
E
c
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Adiabatic buncher + Vernier Rotation
Drift (90m) decay;
beam develops correlation
Buncher (60m) (~333200MHz) Forms beam into string of bunches
Rotation(10m) (~200MHz) Lines bunches into equal energies
Cooler(~100m long) (~200 MHz) fixed frequency transverse cooling system
beam Drift Buncher
Rotator
Cooler
Overview of transport
Replaces Induction Linacs with medium-frequency rf (~200MHz) !
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Adiabatic Buncher overview
Want rf phase to be zero for reference energies as beam travels down buncher
Spacing must be N rf
rf increases (rf frequency decreases)
Match to rf= ~1.5m at end of Rotator
Gradually increase rf gradient (linear or quadratic ramp):
Example: rf : 0.90~1.4m m5.11010L
11L rf
1tot
010tot
Captures both (+, -)
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Rotation At end of buncher, change rf to
decelerate high-energy bunches, accelerate low energy bunches
Reference bunch at zero phase, set rf less than bunch spacing
(increase rf frequency)
Places low/high energy bunches at accelerating/decelerating phases
Can use fixed frequency or
Change frequency along channel to maintain phasing
“Vernier” rotation –A. Van Ginneken
rf : ~1.41.5m in rotation;
Nonlinearities cancel:T(1/) ; Sin()
Z(N) – Z(0) = (N + δ) λrf(s)
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Key Parameters General:
Muon capture momentum (200MeV/c?) 280MeV/c? Baseline rf frequency (200MHz)
Drift Length LD
Buncher – Length (LB)
Gradient VB (linear OK)
Rf frequency: (LD + LB(z)) (1/) = RF
Phase Rotator-Length (LR)
Vernier, offset : NR, V
Rf gradient VR
COOLing Channel-Length (LC)
Lattice, materials, VC, etc.
Matching …
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Study 2a Cooling Channel Need initial cooling channel
(Cool T from 0.02m to 0.01m)
Longitudinal cooling ?
Examples Solenoidal cooler (Palmer) “Quad-channel” cooler 3-D cooler
Match into cooler Transverse match
– B=Const. B sinusoidal– Gallardo, Fernow & Palmer
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Palmer Dec. 2003 scenario Drift –110.7m Bunch -51m
V’ = 3(z/LB) + 3 (z/LB)2 MV/m (× 2/3) (85MV total)
(1/) =0.0079 -E Rotate – 52m – (416MV total)
12 MV/m (× 2/3) P1=280 , P2=154 V = 18.032
Match and cool (100m) V’ = 15 MV/m (× 2/3) P0 =214 MeV/c 0.75 m cells, 0.02m LiH
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Study2AP June 2004 scenario Drift –110.7m Bunch -51m
V(1/) =0.0079 12 rf freq., 110MV 330 MHz 230MHz
-E Rotate – 54m – (416MV total) 15 rf freq. 230 202 MHz P1=280 , P2=154 V = 18.032
Match and cool (80m) 0.75 m cells, 0.02m LiH
“Realistic” fields, components Fields from coils Be windows included
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Simulation of Study 2Ap
Drift(110m)
Bunch(162m)
E rotate(216m)
Cool(295m)
System would capture both signs (+, -) !!
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Variation –Be absorbers Replace LiH absorbers with Be
absorbers suggested by M. Zisman (0.02m LiH 0.0124m Be)
Performance somewhat worse Cooling less(tr ~0.0093; LiH has 0.0073)
Best is ~0.21/p within cutsafter 80m cooling (where LiH has ~0.25 at 100m)
Be absorbers could be rf windows
H2 gas could also be used Gas-filled cavities (?)
Mu Capture
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 40 80 120 160 200 240 280 320
All mu's
e_t < 0.15
e_t<0.3
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Cool (to 100m)Rotate(26m)Bunch
(51m)Drift (123.7m)
0.00E+00
1.00E-01
2.00E-01
3.00E-01
4.00E-01
5.00E-01
6.00E-01
7.00E-01
0.00E+00 4.00E+01 8.00E+01 1.20E+02 1.60E+02 2.00E+02 2.40E+02 2.80E+02 3.20E+02
e_t < 0.30
e_t< 0.15
All mu's
Shorter bunch Rotator Drift –123.7m (a bit longer) Bunch -51m
V’ = 3(z/LB) + 3 (z/LB)2 MV/m
(1/) =0.0079
-E Rotate – 26m – 12 MV/m (× 2/3) P1=280 , P2=154 V = 18.1 (Also P1=219 , P2=154, V = 13.06)
Match and cool (100m) V’ = 15 MV/m (× 2/3) P0 =214 MeV/c 0.75 m cells, 0.02m LiH
Obtain ~0.22 /p
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Try with reduced number of frequencies Change frequency every
6 cells (4.5m) Buncher (11 freqs.):
294.85, 283.12, 273.78, 265.04, 256.04, 249.13, 241.87, 235.02, 228.56, 222.43, 216.63 MHz
Rotator (6 freqs) 212.28, 208.28, 205.45, 203.52,
202.34, 201.76 Cooler (200.76 MHz)
Obtains ~0.2 /p (~0.22 /p for similar continuous
case - 105 frequencies) Not reoptimized ….
Phasing within blocks could be improved, match into cooling…
Cool (to 100m)Rotate(26m)Bunch
(51m)Drift (123.7m)
Mu Capture
0
0.1
0.2
0.3
0.4
0.5
0.6
0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 2.50E+02 3.00E+02
m
All mu's
e_t < 0.15
e_t<0.3
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Short bunch train option Drift (20m), Bunch–20m (100 MV)
Vrf = 0 to 15 MV/m ( 2/3) P1 at 205.037, P2=130.94 N = 5.0
Rotate – 20m (200MV) N = 5.05 Vrf = 15 MV/m ( 2/3)
Palmer Cooler up to 100m Match into ring cooler
ICOOL results 0.12 /p within 0.3 cm
Could match into ring cooler (C~40m) (~20m train)
Cool (to 100m)
Rotate(20m)Bunch
(20m)
Drift (20m)
60m
40m
95m
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FFAG-influenced variation – 100MHz 100 MHz example
90m drift; 60m buncher, 40m rf rotation
Capture centered at 250 MeV
Higher energy capture means shorter bunch train
Beam at 250MeV ± 200MeV accepted into 100 MHz buncher
Bunch widths < ±100 MeV
Uses ~ 400MV of rf
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Lattice Variations (50Mhz example)
Example I (250 MeV) Uses ~90m drift + 100m
10050 MHz rf (<4MV/m) ~300MV total
Captures 250200 MeV ’s into 250 MeV bunches with ±80 MeV widths
Example II (125 MeV) Uses ~60m drift + 90m
10050 MHz rf (<3MV/m) ~180MV total
Captures 125100 MeV ’s into 125 MeV bunches with ±40 MeV widths
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Variations, Optimizations
Shorter bunch trains ? (for ring cooler, +-- collider: more ’s lost?)
Longer bunch trains (more ’s, smaller E)
Remove/reduce distortion ? Different final frequencies
(200,88,44Mhz?) Number of different RF frequencies
and gradients (6010 ok?) Different central momenta
(200MeV/c, 300MeV/c …?) Match into cooling channel,
accelerator Transverse focusing (solenoidal
field?) Mixed buncher-rotator? Cost/perfomance optimum
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Control Theory Approach
),())()(,()( 100 kkk
ku uxxsZsssZ - impulse effect model
rn RUuRxTtuxtfdt
xd ,],,0[),,,(
u – control function (incorporate lattice parameters)
- continuous model
T
o M
TT
M
tt
uTut
dxxgdtdxtuxtuI,,
)())(,,()( - quality functional
Seek for u such that it will minimize (maximize) some functional of this type describing some properties of the beam we want to maintain during its propagating through the lattice (1st part) and at the end (2nd part). is the set of coordinates of the beam particles at the time t under control functions u
utM ,
or
0M
0x
utM ,
),,( 0 uxtx
A. Poklonskiy - MSU
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Control Theory Approach
E central
T
t
ifM
If we define penalty functions on a rectangle as
],[],[ 2121 bbaa
112
111
212
211
211
1
,)(
,)(
],[,0
)(1
1
axxak
axaxk
aax
xq
q
122
212
222
222
212
2
,)(
,)(
],[,0
)(2
2
bxxbk
bxbxk
bbx
xq
q
and the quality functional
i M
fiff
iff
if
xdMxxCMxxCI )),((),(( 022011
we can perform optimization using control theory methods (gradient?)
A. Poklonskiy - MSU
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A. Poklonskiy - Summary
Model of buncher and phase rotator was written in COSY Infinity
Simulations of particle dynamics in lattice with different orders and different initial distributions were performed
Comparisons with previous simulations (David Neuffer’s code, ICOOL, others) shows good agreement
Several variations of lattice parameters were studied
Model of lattice optimization using control theory is proposed
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Summary High-frequency Buncher and E Rotator
simpler and cheaper (?) than induction linac system
Performance better (?) than study 2,And
System will capture both signs (+, -) !(Twice as good ?) Good R&D model for +-- Collider.
Method could be baseline capture and phase-energy rotation for any neutrino factory …
To do: Optimizations, Best Scenario, cost/performance
…