Lecture 7: Space-charge, intrabeam scattering and Touschek effects
1 Development of models of intrabeam scattering for charged beams in storage rings E. Mikhaylova...
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Transcript of 1 Development of models of intrabeam scattering for charged beams in storage rings E. Mikhaylova...
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Development of models of intrabeam scattering for charged beams in
storage rings
E. MikhaylovaJoint Institute for Nuclear Research
Dubna, Russia
The First seminar of FRRC Fellows FAIRMoscow, June, 9 – 10, 2009
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BETACOOL application over the world
(since 1995)
RIKEN, Wako
NIRS, Chiba
Kyoto Univ.
Hiroshima Univ.
Beijing Univ.
IMP, Lanzhou
Fermilab, Batavia
BNL, Upton
Tech-X, Boulder
FZJ, Jülich
GSI, Darmstadt
Erlangen Univ.
MPI, Heidelberg
CERN, Geneva
München Univ.
TSL, Uppsala
MSL, Stockholm JINR, Dubna
ITEP, Moscow
ITMP, Sarov
BINP, Novosibirsk
http://lepta.jinr.ru/betacool.htm
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FAIR - Facility for Antiproton and Ion Research
100 m
UNILAC SIS 18
SIS 100/300
HESR:PANDAPAX
SuperFRS
NESR
CRRESR
ESR
FLAIR
Rare-IsotopeProduction Target
AntiprotonProduction Target
What have we done for FAIR?
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BETACOOL for FAIR
• ESR – experiments with electron cooling and gas cell target, ordered beams, injection with RF system, etc.
• SIS18 – estimation of electron cooling• NESR – accumulation with electron cooling• HESR – optimization of electron cooling system• PANDA – effective luminosity with internal pellet target• PAX – optimization of colliding experiment with
electron cooling system• FLAIR – optimization of electron cooling
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Simulation of long-term processes
The general goal
What is it? How long?
Processes which lead to variation ofthe ion distribution function in 6 dimensional phase space: cooling processes, IBS
In comparison withthe ion revolution period
We can do the simulation on condition that:
The ion beam motion inside a storage ring is supposed to be stable and is treated in linear approximation
Linear matrixes
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Advantages
1. Many different effects (ECOOL, IBS, Target, RestGas etc.) can be simulated simultaneously at the same parameters using different algorithms
2. Fast estimations on PC
3. Graphical interface under Windows
4. Control the results and vary parameters during simulation
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Model Beam algorithm
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1jjijiii DttFtpttp
Ion beam is presented by array of model particles.
Each effect calculates a kick of the ion momentum components and changes the particle number
To numerical solve Langevin equation
What is it?
Model particles have thesame mass and charge asreal particles, BUT numberof model particles is muchless than real particle number
Way
We take intoaccount effectsof particle lossHow to do it
Initial model particlemomentum
Acting forces(cooling forces)
Coefficientsof diffusion
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Principle of growth rates calculation
Modelparticles
Distribution overthe coordinatesand velocities
Gaussianshape
IBS growth rates
increase incalculation
speed
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4 analytical models of IBS
1. Piwinski2. Martini3. Jie Wei4. Gas Relaxation
Works with average parameters of ringIntegrates over each optic elementSimplified version for high energy storage ringDoes not describe relaxation betweendegrees of freedom
Which model of IBS do we prefer?
Martini modelAs the most accurate model (need more simulation time)
BUT!
There is an irregular dependence on an integration step
A special program code was created in order toinvestigate the integrals and the all integrands
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Martini Model
0 0
2
0
21ln),(exp),(sin dzddzzDgkf iii
221 cossin31),(g
adg /cossinsin~6sinsin31),( 222
23 cos31),(g
2
222222 coscos~sinsincossin),(
c
bdaD
We use Martini model for calculation of the growth rates. According to thismodel we have to calculate some functions to find characteristic times
We calculate growth rates in momentum space. But it is better to transferrectangular coordinates to cylindrical coordinates in order to simplify somecalculations. According to this transformation the necessary functionswill look like this:
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IBS Program CodeThe IBS program code was created in order to investigate the integrals and the all integrands
What happens?
0 0
2
0
21ln),(exp),(sin dzddzzDgkf iii
the D(μ,ν) value at some beamparameters can be close to zero: critical points
0
0
2
),(
21ln),(exp DC
D
LdzzzD
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The problemThe result of calculations can depend onnumber of integration steps a lot!!!
is that
Howto escape?
To use avariableintegrationstep
),(1 DVariablestep near
criticalpoints
Constantstep
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Comparison of Results We made calculations for a single lattice elementof a ring in order to check IBS Program work
1. BETACOOL2. Mathematica
Coincidence witha sufficient accuracy
Comparisons withexperimental data
nowWith help ofBETACOOL
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Application of IBS Program
Why should we use it?
1. IBS is an independent program for everybody who wantsto calculate the IBS rates in storage rings
2. A simple way of calculations of IBS growth rates3. Comfortable graphical interface under Windows4. Possibility of getting a ring lattice structure from a MAD file5. The IBS program will appear on the Internet soon as a
public resource +library of Martini integral calculations.http://lepta.jinr.ru/
6. We changed object-oriented structure of the program to procedure one in order to other programmers could useit for them own program codes
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The graphical interface
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My plans for FAIR
1. Improvement of numerical models of electron and stochastic cooling in common with the University of Tokyo and scientific centre GSI and FZ-Juelich (calculations of cooling processers and balance with intrabeam scattering for NESR, HESR)
2. Beam dynamics simulation for NESR and HESR storage rings (calculation of charge particle accumulation process for NESR)
3. Beam dynamics simulation for FLAIR project (calculation of cooling process for LSR, USR)
I suppose to do in the future :
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Thank you for your attention!