Thin-lens tracking through the Combined-Function Magnets in the PS
Malte Titze
April 27, 2016
Thin-lens tracking through the Combined-Function Magnets in the PS - - PowerPoint PPT Presentation
Thin-lens tracking through the Combined-Function Magnets in the PS Malte Titze April 27, 2016 Introduction Symplecticity Results & Conclusion References Outline 1 Introduction 2 Symplecticity 3 Results & Conclusion M. Titze (CERN /
Thin-lens tracking through the Combined-Function Magnets in the PS
Malte Titze
April 27, 2016
Introduction Symplecticity Results & Conclusion References
Outline
1 Introduction 2 Symplecticity 3 Results & Conclusion
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Introduction Symplecticity Results & Conclusion References
Introduction
physics; Space Charge (SC) effects (= interaction between charged particles).
(LIU): Deliver twice higher brightness beams compared to today’s nominal values. SC effects play an increasing role [Bartosik et al. (2016)].
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Introduction Symplecticity Results & Conclusion References
Current Situation
interaction, tracking, interaction, ...).
(using analytical solutions of the Poisson equation) and ’Self Consistent’ PIC Codes (solving the Poisson equations on a grid; PIC = Particle In Cell).
widely used tracking program MAD-X.
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Introduction Symplecticity Results & Conclusion References
Current Situation p. 2
requies in particular tracking with MAD-X through the entire complex of preaccelerators, especially the PSB, PS and the SPS.
Combined-Function Magnets (CFMs) which consist of the superposition of bending magnets with multipoles of higher order.
Figure 1: CFM in the PS, courtesy by Schoerling (2014)
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Purpose of these magnets?
track.
tracking pipe, the particles generally perform oscillations around the reference trajectory.
Figure 2: Marble in a pipe with offset
the ring.
momentum relative to the reference particle.
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Purpose of these Magnets? p. 2
elements as thin lenses.
bending magnets, one is looking for a corresponding decomposition into several thin slices.
Figure 3: Schematic view of the bending situation on the dark side of the moon ...
that makes a thin-lens description not easy. The answer requires a small excursion.
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Excursion: Symplecticity
Hamilton Equations ˙ z = J(dH(z, s))tr (1) with z := (q, p)tr and J =
−1
. If z0 is a solution to (1) and M is a differentiable map on phase space, leaving H invariant, then z1 = M(z0) is another solution if M′(z0) ˙ z0 = ˙ z1
!
= J(dH(z1, s))tr = J(dH(z0, s)(M′(z0))−1)tr = J[(M′(z0))−1]tr(dH(z0, s))tr = J[(M′(z0))tr]−1(−J) ˙ z0, consequently1: Symplecticity Condition M′(z0)trJM′(z0) = J
1with a grain of salt ...
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Symplectic vs. non-symplectic integrators
Simulating “zi = M(zi−1)”
15 10 5 5 5 10(a) explicit euler
3 2 1 1 2 3 3 2 1 1 2 3(b) implicit euler
3 2 1 1 2 3 3 2 1 1 2 3(c) midpoint
3 2 1 1 2 3 3 2 1 1 2 3(d) gauss-legendre2 Figure 4: Arnold cats under the effect of various Runge-Kutta solvers for the harmonic
Message: Numerical errors introduce artificial effects, like blow up of phase space in single particle tracking, which leads to wrong predictions over long periods.
2Symplectic; for a proof see Hairer et al. (2006).
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... now back to CFMs
comoving coordinates looks as follows H = pσ −(1+Kxx +Kyy)
η)2 − p2
x − p2 y + e
p0 As
Hamiltons equations (1) can be written as ˙ z = −{H, z} = − : H : z and its (symplectic) solution is therefore z = exp(−s : H :)z0.
coordinates and K the kick term involving the As potential. Since D and K do not commute → BCH formula necessary for a drift-kick decomposition (remember: ’Beam optics’ picture).
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Solution
an implicit symplectic solution for even the most general Hamiltonians [Titze (2015)] ¯ q = q −
K
1 (µ + 1)!(−∆s)µ+1(∂p(−H. + ∂s)µH)(q, ¯ p; sf ), ¯ p = p +
K
1 (µ + 1)!(−∆s)µ+1(∂q(−H. + ∂s)µH)(q, ¯ p; sf ).
tracking map and implemented in MAD-X.
coordinates had to be determined as well.
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Results
20 40 60 80 100 120 Slice number 0.005 0.004 0.003 0.002 0.001
Qx
6.075 20 40 60 80 100 120 Slice number 6.995 6.990 6.985 6.980 6.975 6.970 6.965
Qy
' '
Figure 5: Chromaticity convergence in the PS against analytic Lie-Transformation result.
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Results p. 2
0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 0.04 0.02 0.00 0.02 0.04(x, px )
0.004 0.003 0.002 0.001 0.000 0.001 0.002 0.003 0.004 0.0003 0.0002 0.0001 0.0000 0.0001 0.0002 0.0003(y, py)
0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 0.04 0.02 0.00 0.02 0.04(x, px )
0.004 0.003 0.002 0.001 0.000 0.001 0.002 0.003 0.004 0.0003 0.0002 0.0001 0.0000 0.0001 0.0002 0.0003(y, py)
Figure 6: Tracking results of the unmodified code (Top left/right) and the corrected (symplectic) code (Bottom left/right).
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Conclusion
Moreover, we have a method at hand in which we can basically slice every finite-dimensional problem which can be described by a Hamiltonian in terms of implicit symplectic steps (For example: many body problems in astronomy, resonance driven bunch envelope equations etc.).
currently running first Frozen SC tracking simulations in the PS.
corrected CFM map. Many thanks for your attention!
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Further Reading I
studies with high intensity single bunch beams in the CERN SPS. In Proceedings of the IPAC, 2016. To be published.
Structure-Preserving Algorithms for Ordinary Differential Equations. Springer Series in Computational Mathematics. Springer Berlin Heidelberg, 2006. ISBN 9783540306665.
Group Meeting, November 2015. URL https://espace.cern.ch/ be-dep/ABP/HSC/Meetings/slides_MT_02-11-15.pdf.
Physical Letters A, 150(5), 1990.
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