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FEL Simulations: Undulator Modeling

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Start-end simulation aims to predict the FEL performance as realistic as possible: ... Non-averaged codes too CPU-intensive for full time-dependent simulations. ... – PowerPoint PPT presentation

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Title: FEL Simulations: Undulator Modeling


1
FEL Simulations Undulator Modeling
  • Sven Reiche
  • Start-end Workshop
  • DESY-Zeuthen
  • 08/20/03

2
FEL Simulations
  • Start-end simulation aims to predict the FEL
    performance as realistic as possible
  • Modeling the electron beam,
  • Modeling the undulator.
  • VUV/X-Ray undulator with large array of undulator
    poles (gt1000), grouped in modules and
    combined/interleaved with strong focusing
    elements (quadrupoles).

3
Resolving the Undulator Period
  • Non-period averaged codes can use any arbitrary
    field profile but are bound to a sub-period
    length integration step size
  • Integration step size of period averaged codes
    can scale with gain length, thus, independent of
    undulator length

Example Integration steps for LCLS
Non-averaged
Averaged
100 x 3000
10 x 20
Periods
Gain lengths
Resolve harmonics
Resolve gain
4
Resolving the Undulator Lattice
  • Integration step sizes are limited due to
  • Undulator drift sections,
  • Field Errors,
  • Quadrupole length,
  • Phase shifter

Integration step size of period-averaged codes
scales rather with undulator period than with
gain length.
5
Speeding-up the Calculation
  • Increasing length of quadrupoles, while reducing
    the field strength (thin lens approximation).
  • Insert virtual phase shifter to control phase
    slippage in drift section.
  • Replace effect of field errors by a single net
    kick per integration step.

6
Undulator Elements
  • Essential
  • Undulator field taper,
  • Quadrupoles sextupole focusing of undulator
    field,
  • Drifts with phase shifter.
  • Optional (Exotic)
  • Undulator endfield,
  • Solenoid field,
  • Higher multipoles of undulator field (e.g. for
    apple-type undulators),
  • Coupling of motion in x and y.

7
Example LCLS Undulator
  • Superperiod of 6 quadrupoles undulator modules
  • Permanent magnet quadrupoles (107 T/m)

F
D
F
D
F
D
F
Module 3.42 m
Long Gap 42.1 cm
Short Gap 18.7 cm
Quadrupole 5 cm
Super Period 22.11 m
8
Effects of Field Errors
  • Introduces steering in beam orbit.
  • Reduced overlap between beam and radiation field
  • Phase shake

Dp
Centroid motion
bz
9
Correlated Errors
  • Undulator assemble depends on measuring, sorting
    and arranging all permanent magnets with the goal
    of
  • Minimizing 1st and 2nd field integral
  • Minimizing phase shake

Residual variation in the field strength of
undulator field is highly correlated
10
Correlated vs Uncorrelated
  • RMS variation not a good parameter to describe
    FEL performance

11
Quadrupole Misplacement
  • Interface with BBA-Procedures.
  • Similar effect as field errors.
  • 2D codes overestimate effect.

12
Undulator Misplacement
  • Possibility for undulator tapering,
  • but
  • Stronger alignment tolerances,
  • Larger K-spread over beam size.

13
Undulator Misplacement (cont)
  • Impractical for LCLS as a possibility for a
    controlled field taper.

LCLS alignment tolerance 100 mm
K-spread
tolerance
14
Undulator Taper
  • Constant energy loss due to spontaneous
    radiation, compensated by taper.
  • Enhancing FEL efficiency after saturation.

15
Wakefields
  • Contributions by
  • Resistive wall,
  • Aperture changes (geometric wakes),
  • Surface Roughness,

99 from resistive wall wakefields
16
Wakefields (cont)
  • FEL degradation by 30-50
  • Weak dependence on chamber radius due to large
    transient at bunch head.

Gap due to wakefields
17
Conclusion
  • Non-averaged codes too CPU-intensive for full
    time-dependent simulations.
  • Transverse and longitudinal motion decoupled in
    period averaged codes -gt different solvers.
  • All essential features of undulators covered by
    FEL codes.
  • Standard support for arbitrary undulator
    lattices.
  • 2D codes limited precision for certain effects
    such as transverse centroid motion.
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