, slac aug. 2010 beam optics & dynamics studies for lhc · beam optics & dynamics studies...
TRANSCRIPT
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Beam Optics & Dynamics Studies for LHC
Alexander Koschik
ETH Zurich, Integrated Systems Laboratory
(Swiss Federal Institute of Technology Zurich)
SLAC, Aug. 2010
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Master’s degree in physics from University of Technology Graz, Austria.
PhD degree in accelerator physics from CERN (AB-ABP) and TU Graz.Francesco Ruggiero, Bruno Zotter
Fellowship (AB-ABP & AB-BT) at CERN.Helmut Burkhardt, Brennan Goddard
Research assistant at IIS, ETH Zurich.
What am I doing at ETH Zurich?
Simulation of low energy (1 eV – 1 keV) electron beam – matter interaction for SEM critical dimension nanometrology.
Simulation of SEM image formation.
Development of fast CD extraction and surface reconstruction methods from SEM images.
Background Information
Graz●
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Simulation of multi-bunch instabilities
Transverse multi-bunch instabilities, high energy proton beams (LHC)
Beam optics & design
LHC injector complex upgrade, beam optics design PS2 transfer line
Beam dynamics simulation with MAD-X
Abort gap cleaning in the LHC (simulation & benchmark measurementsin the CERN SPS)
Outline – Beam Optics & Dynamics Studies for LHC
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SIMULATION MULTI-BUNCH INSTABILITIESTransverse multi-bunch instabilities, high energy proton beams (LHC)
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PhD title: Simulation of transverse multi-bunch instabilities of proton beams in LHC
Development of a particle tracking code that is able tostudy the stability behavior of the multiple bunches of LHC (2808)model the long-range impedance effects correctly (resistive wall)do the computation sufficiently fast!
Simulating LHC beam stability
Instabilities(Motion of Particles becomes unstable)
Cross section variation and/or finite wall conductivity
Collective Effects(caused by fields acting back on the beam)
LHC (Large Hadron Collider) at CERN
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Simulating beam stability: Wake Summation Problem
Summation of wake field contributions of ~3000 bunches over ~100 turns
For each bunch at each time step:Recomputewake function ofall precedingbunches and allpreceding turns!
Addition + Multiplication in complex plane
Time
Wak
e fu
nctio
n (v
olta
ge)
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Simulating beam stability: Wake Summation Problem
Effect of preceding bunches of preceding turns on current bunch at current turn
Brute force summation results in computation times in the order ofdays/weeks!
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Simulating beam stability: Wake Summation Solution
Discrete FFT Convolution algorithm used to speed up the computation significantly (N2 N log N)
Brings computation times from days/weeks down to hours!
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Simulating beam stability: Impedance/Wake Models
Knowledge of correct impedance model critical for machine performance!
Frequency range interesting for LHC
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Simulating beam stability: Impedance/Wake Models
Classical resistive wall impedance model was found to be an inappropriatedescription for the physical situation in the LHC.
For one new model, which fits well with measurement the corresponding wake function was computed and implemented in the code MTRISIM.
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Simulating beam stability: The code MTRISIM
Classical tracking codeTransfer matrices + non-linear kicks
Rigid bunch approximation
Wake function approximation
Lumped impedance approximationImpedance modelled by 1 kick per turna
Non-circular vacuum chamber geometries: Yokoya factors used!
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Simulating beam stability: LHC Simulations
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Simulating beam stability: LHC Simulations
Non-linearities (octupoles) provide amplitude dependent detuning and stabilize the beam.Important result for stability and performance of the LHC machine!
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Objectivesstudy the stability behavior of the multiple bunches of LHC (2808)model the long-range impedance effects correctly (resistive wall)do the computation sufficiently fast!
Achievements
Efficient implementation of wake summation via discrete FFT convolution algorithm approach (N2 N log N).
Brings computation time from days/weeks down to hours!
Resistive wall impedance models in a new parameter regime, corresponding wake function computed and used in simulation.Code benchmarked with measurements in CERN SPS.Simulation of LHC. Present octupole design will provide enough Landau damping to stabilize beam at top energy.
Follow-up work, latest developmentsFast wake summation algorithm used for CLIC damping ring studies at Cockcroft Institute, Daresbury, UK:K.M.Hock, A.Wolski: „Transient jitter from injection in storage rings“; Phys.Rev. ST-12,091001(2009)MTRISIM recently added to CERN BE-ABP code-pool for thorough re-study of LHC impedance issues (Elias Metral, Benoit Salvant, Nicolas Mounet)
Simulating beam stability: Summary
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BEAM OPTICS & DESIGNLHC injector complex upgrade, beam optics design PS2 transfer line
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Beam optics & design
Several work packages in the context of LHC commissioning preparation (new & proposed) accelerator optics design design & commissioning of beam transfer systems
LHC injection optics (transfer lines TI2, TI8)Dispersion matching knobs LHCSolenoid coupling compensation LHCBeam Commissioning of the SPS LSS6 Extraction and TT60 Beam Commissioning of the SPS-to-LHC Transfer Line TI 2LHC sector test: Magnet quench testPS2 Injection, Extraction and Beam Transfer ConceptsInitial design of the PS2-SPS transfer line
Resonant orbit bumps Localized dispersion wave
Coupling compensation by skew quads
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Beam optics & design
Several work packages in the context of LHC commissioning preparation (new & proposed) accelerator optics design design & commissioning of beam transfer systems
LHC injection optics (transfer lines TI2, TI8)Dispersion matching knobs LHCSolenoid coupling compensation LHCBeam Commissioning of the SPS LSS6 Extraction and TT60 Beam Commissioning of the SPS-to-LHC Transfer Line TI 2LHC sector test: Magnet quench testPS2 Injection, Extraction and Beam Transfer ConceptsInitial design of the PS2-SPS transfer line
Measured horizontal aperture of transfer line TI2
LHC beam steered into MQY magnet for quench testing.
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Beam optics design: PS2 – SPS Transfer Line Design
PS2
SPS
PS2 – SPS transfer line
PS
LINAC4
Design GoalShortest possible transfer line accomplishing
all required features:- Matched optics at both ends (PS2, SPS)- Meet space/geometry requirements- Low β insertion (stripping foil)- Emittance exchange scheme- Switch to experimental area
PS Booster(SPL)
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Beam optics design: PS2 – SPS TL Design Approach
Start from SPS injection optics and calculate Twiss parameters in backward manner through SPS injection region, TT10 and the transfer line
Match optics (β,α,D,D’) at virtual PS2 extraction point.Assumptions extraction point: βx = 6.25 m, βy = 36.0 m, α,D,D’ = 0.0
Get dispersion function D under control! Achromats!
Match space/geometry requirementsTransfer Line defines location of PS2!15m separation between PS2 tunnel and existing tunnels (radiation protection)
Length limits for Transfer Line! MAD-X matching with survey coordinates!
Include: low β insertion for ion stripping (Pb ), emittance exchange scheme, switch to experimental area, …
Beam momentum: 50 GeV/c
Dipole Magnets: l = 3.0 m1.6 T field strength1/ρ = 9.59 mrad/m bending angle
Quadrupole Magnets: l = 1.75 m16 T/m field gradientkmax = 0.0959
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Beam optics design: PS2 – SPS TL Design
Matching section (with low-β insertion) near SPS
2 bending sections (opposite direction) as achromats (D=D’=0 at each end)
Matchingsection
Achromat 1
Achromat 2
PS2 extractionregion
PS2 LSSregular cells
SPS injectionregion αbend = – 320 mrad
αbend = + 160 mrad
Matching section:Used to match SPS to achromat entry conditions
Achromat 1 + Achromat 2:Used to match to PS2 extraction conditions
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Beam optics design: PS2 – SPS TL Design
700 800 900 1000 1100 1200 1300 1400 1500
2200
2300
2400
2500
2600
2700
X [m]
Y [m
]
Survey Plot CCS coordinates
SPS
PS2
TI2
TT10
TT12~21m
~15m
MAD-X optics matching:Achromat dipole strenghtsdefine location of PS2 machine (survey coordinates)
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Beam optics design: PS2 TL Optics β – functions
SPS injection region
Matching section Achromat 1Achromat 2
PS2 extraction region
PS2 LSS regular cells
Low-β
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Beam optics design: PS2 TL Optics Hor. Dispersion
SPS injection region
Matching section Achromat 1 Achromat 2
PS2 extraction region
PS2 LSS regular cells
( )
( )DDJ
DDDJ
D
D
αββ
αβ
+′⋅Θ=Δ
+′+=
2
22dispersion
action
dispersion modifierat bend with angle Θ
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Beam optics design: PS2 TL Emittance Exchange
Possible solution:3 additional cells (2+1 because of asymmetry) with skew quads inbetween the two achromats (because dispersion free there!)
Fits space requirements if injection/extraction areas in PS2 are swapped
Note:Used MAD-X PTC!
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Beam optics design: PS2 TL Design Summary
Objectivesfeasibility study of transfer line connecting PS2 - SPS meet tight space/geometry requirementsLow-β insertion, emittance exchange scheme, …
Achievements
Design goals can be achieved with this initial layout, in particular the tight space and geometry requirements!Optics design using MAD-X (with PTC), plus a lot of experienced/educated guesses!Optics matching with survey coordinates (user defined macro function matching in MAD-X).
Follow-up work, latest developmentsHessler, C; Bartmann, W; Benedikt, M; Goddard, B; Meddahi, M; Uythoven, J: „Transfer Lines to and from PS2“; Proc. of 1st IPAC, Kyoto, Japan, 23 - 28 May 2010, sLHC-PROJECT-Report-0043; CERN-sLHC-PROJECT-Report-0043Hessler, C; Goddard, B; Meddahi, M; „PS2 Transfer Lines“; sLHC Project Note 0013, 2010-02-04CERN management has stopped PS2 project in favor of refurbishing the old PS (Chamonix Meeting 2010).
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BEAM DYNAMICS SIMULATION MAD-X
Abort gap cleaning in the LHC (simulation & benchmark measurements in the CERN SPS)
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Abort Gap Cleaning
LHC beam dump kicker systemfield rise time 3 μs
Particle-free abort gap of 3 μs needed for clean beam dump process
Particles filling abort gap see sweeping kicker field and may be lost at various positions in the machine, possibly causing a magnet quench.
Assuming quench limit of 4 mJ/cm3, maximum abort gap population tolerated at 7 TeV corresponds to 1.7 × 107 p+/bunch (2 × 106 p+/m)
Abort gap population from uncapturedbeam or longitudinal diffusion processes: ~ 3 × 1010 p+/100 ns (450 GeV)~ 3 × 1080 p+/100 ns (7 TeV)
1. E. Shaposhnikova, “Abort Gap Cleaning and the RF System”, LHC Performance Workshop – Chamonix XII, 2003, CERN AB-2003-008, p. 182, Geneva, 2003.2. E. Shaposhnikova, S. Fartoukh, B. Jeanneret, “LHC Abort Gap Filling by Proton Beam”, EPAC 2004.3. E. Shaposhnikova, “Longitudinal motion of uncaptured particles in the LHC at 7 TeV”, LHC Project Note 338, CERN, Geneva, 2004.
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Abort Gap Cleaning – Principle
Tune modulated kicker signal
Resonantly excite increasing transverse particle oscillations
Loose particles on aperture limits (ideally collimators) in controlled way
Particle tunes off from nominal tune due to:ChromaticityNon-linearities (amplitude-dependent tune change)
Tracking studies to investigate cleaning efficiency dependent on non-linear effects. Kick
Kick
Kick in-phase with particle betatron phase
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Motivation: Assess feasibility and performance of LHC abort gap cleaning systemObjective: Benchmark simulation against measurements to gain confidence for LHC
Investigate influence of non-linearities (octupoles) and chromaticity on cleaning speed and efficiency Experiment with different excitation programs (fixed freq., sweep, freq. modulation)
MAD-X full 6D element-by-element tracking with aperture. Additionally: Implementation of time (i.e. turn by turn) varying kicks in MADXSimulation:
Set optics (e.g. nominal SPS optics, LHC beam & working point) and beam parametersVary ξ chromaticityVary k3 octupole strength (simulate non-linearities)Different transverse damper excitation progamsRecord loss rate, integrated loss and loss pattern
Used MADX model: SPS 2007 sequence/strength/aperture set-upσΔp/p = +/- 2.37 x 10-3
central tunes: QH = 26.13QV = 26.18
transverse emittances: εn = 3 μm
σV = 2.96 mm @ TIDV.11892 (β=81 m) @ 26 GeV/c Beam should be mainly lost at TIDV with half gap of 20.4 mm corresponding to 6.9 σ
Abort Gap Cleaning – SPS Simulations with MADX
TIDV
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Abort Gap Cleaning – SPS Simulations with MADX
-20 0 5 10 15 20 40 60 80 1000
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5Simulation SPS 2007 AbortGapClean 26GeV ξx= 0.02, ξy= 0.03
time [ms]
ΔN
Lost
[%]
Loss Rate
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20
40
60
80
100
time [ms]
NLo
st [%
]
Integrated Losses
Chromaticity low (ξH=0.02, ξV=0.03) Octupoles OFF
Loss time ≈ 5-7 ms (250 turns) Loss time ≈ 25-30 ms (1100 turns)
Full longitudinal motion simulated, i.e. RF on
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1
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2Simulation SPS 2007 AbortGapClean 26GeV ξx= 0.02, ξy= 0.43
time [ms]
ΔN
Lost
[%]
Loss Rate
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20
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60
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time [ms]
NLo
st [%
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Integrated Losses
Chromaticity medium (ξH=0.02, ξV=0.43) Octupoles OFF
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0 200 400 600 800 1000 1200 1400 16000
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600Abort gap cleaning MD 2007/11/05 15:05:49.898000 SuperCycle 20180
Time [ms]In
tens
ity [1
08 pro
tons
]
Cleaning← Efficiency
97.3%
BCT signal
Abort Gap Cleaning – SPS Measurements
Chromaticity low (ξH=0.02, ξV=0.03), Octupoles offfixed frequency excitation
Loss time ≈ 5 ms (220 turns)
Loss signal BLM @ TIDV SPS.BCTDC.41435
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5x 107 Abort gap cleaning MD 2007/11/05 15:05:41
time [ms]
lost
pro
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20x 108 ΔtLoss = 5.2 ms
inte
grat
ed lo
ss [p
roto
ns]
time [ms]
Raw dataDenoised
Optimized excitation frequency
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0 200 400 600 800 1000 1200 1400 16000
100
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600Abort gap cleaning MD 2007/11/05 17:47:40.298000 SuperCycle 20469
Time [ms]In
tens
ity [1
08 pro
tons
]
Cleaning← Efficiency
95.9%
BCT signal
Abort Gap Cleaning – SPS Measurements
Chromaticity medium (ξH=0.02, ξV=0.43), Octupoles ON: LOF +20.0frequency sweep
Loss time ≈ 20 ms (870 turns)
Loss signal BLM @ TIDV SPS.BCTDC.41435
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14x 106 Abort gap cleaning MD 2007/11/05 17:47:47
time [ms]
lost
pro
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20x 108 ΔtLoss = 13.9 ms
inte
grat
ed lo
ss [p
roto
ns]
time [ms]
Raw dataDenoised
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0 10 20 30 40 50 60 70 80 9034
34.2
34.4
34.6
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35
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35.4
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Time - [ms]
Freq
uenc
y - [
kHz]
MD 2007/11/05 - Frequency Program
16:23:1017:55:0118:02:3318:13:2218:15:2618:45:0119:07:2319:12:12
Abort Gap Cleaning – Optimizing frequency programsExcitation conditions:Vertical damper V1 (BDV 214.55) on, V2 (BDV 221.76) off, Amplitude: 2.89 μrad per turnExcitation at 1-qfrac (for better efficiency due to hardware limitations) at t = 1000ms in the cycle.
Programmable arbitrary waveform generator used (Agilent 33250 A). Limitation 65536 points, use of low-pass filter to smooth wave form. Max. ~4000 turns excitation.
The revolution frequency at 26 GeV is 43.347282 kHzexcitation was always at(1-q_frac) x f_rev, i.e. around 35 kHz
Programs used for MD:
Fixed frequencygood for constant tune
Swept frequencytune changes with amplitude
Modulated frequency(FM, modulation depth, modulation freq.) efficient in presence of chromaticity
FM on a carrier that is itself sweptoctupoles + chromaticity
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Chromaticity medium (ξH=0.02, ξV=0.43) Octupoles ON
Simulated and measured loss rates in very good agreementLoss time ≈ 25-30 ms (1100 turns)
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2Simulation SPS 2007 AbortGapClean 26GeV ξx= 0.02, ξy= 0.43
time [ms]
ΔN
Lost
[%]
Loss Rate
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time [ms]
NLo
st [%
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Integrated Losses
Abort Gap Cleaning – Summary
Close collaboration with BI and RF group!
ObjectivesTransient simulations using MAD-X tracking, full 6D + time-varying kicksBenchmark measurements in the SPS
AchievementsTool to test & develop best cleaning strategy for the LHC
Follow-up work, latest developments
“LHC Abort Gap Monitoring and Cleaning”; Meddahi, M; Gianfelice-Wendt, E et al.; 1st IPAC, Kyoto, Japan, 23 - 28 May 2010; CERN-ATS-2010-124“LHC Abort Gap Cleaning with the
Transverse Damper”; Gianfelice-Wendt, E; Goddard, B; Höfle, W et al.; PAC 2009, Vancouver, Canada, 04 - 08 May 2009; CERN-ATS-2009-016
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Final Wrap-up
Simulation of transverse multi-bunch instabilities (LHC)physical modeling, algorithm design, simulation development, beam measurements
Beam optics & design, PS2 transfer line opticslinear optics design, optics matching, MAD-X (PTC),commissioning with beam
Beam tracking with MAD-X (Abort Gap Cleaning)simulation & benchmark measurements
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14x 106 Abort gap cleaning MD 2007/11/05 17:47:47
time [ms]
lost
pro
tons
20x 108 ΔtLoss = 13.9 ms