Applications of the SALI Method for Detecting Chaos and Order in Accelerator Mappings Tassos Bountis...
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Applications of the SALI Applications of the SALI Method for Detecting Chaos Method for Detecting Chaos and Order in Accelerator and Order in Accelerator Mappings Mappings Tassos Bountis Department of Mathematics and Center for Research and Applications of Nonlinear Systems (CRANS), University of Patras, Patras, Greece Work in collaboration with Haris Skokos and Christos Antonopoulos E-mail: [email protected]URL: http://www.math.upatras.gr/~crans
Applications of the SALI Method for Detecting Chaos and Order in Accelerator Mappings Tassos Bountis Department of Mathematics and Center for Research
Applications of the SALI Method for Detecting Chaos and Order
in Accelerator Mappings Tassos Bountis Department of Mathematics
and Center for Research and Applications of Nonlinear Systems
(CRANS), University of Patras, Patras, Greece Work in collaboration
with Haris Skokos and Christos Antonopoulos E-mail:
[email protected] URL: http://www.math.upatras.gr/~crans
Slide 2
2 Outline Definition of the SALI Criterion Behavior of the SALI
Criterion Ordered orbits Chaotic orbits Applications to: 2D maps 4D
maps 2D Hamiltonians (Hnon-Heiles system) 3D Hamiltonians 4D maps
of accelerator dynamics Conclusions
Slide 3
3 Definition of the Smaller Alignment Index (SALI) Consider the
k-dimensional phase space of a conservative dynamical system (e.g.
a Hamiltonian flow or a symplectic map), which may be continuous in
time (k =2N) or discrete: (k=2M). Suppose we wish to study the
behavior of an orbit in that space X(t), or X(n), with initial
condition : X(0)=(x 1 (0), x 2 (0),,x k (0))
Slide 4
4 To study the dynamics of X(t) - or X(n) one usually follows
the evolution of one deviation vector V(t) or V(n), by solving:
Either the linear (variational) ODEs (for flows) Or the linearized
(tangent) map (for discrete dynamics) where DF is the Jacobian
matrix evaluated at the points of the orbit under study. Consider a
nearby orbit X with deviation vector V(t), or V(n), and initial
condition V(0) =X(0) X(0) =(x 1 (0), x 2 (0),, x k (0))
Slide 5
5 We shall follow the evolution in time of two different
initial deviation vectors (e.g. V 1 (0), V 2 (0)), and define SALI
(Skokos Ch., 2001, J. Phys. A, 34, 10029) as: Two different
behaviors are distinguished: 1)The two vectors V 1, V 2 tend to
coincide or become opposite along the most unstable direction
SALI(t) 0 and the orbit X(t) is chaotic 2)There is no unstable
direction, the deviation vectors tend to become tangent to a torus
and SALI(t) ~ constant and the orbit X(t) is regular
Slide 6
6 Behavior of SALI for ordered motion Suppose we have an
integrable 2D Hamiltonian system with integrals H and F. Form a
vector basis of the 4D phase space: Choosing 2 vectors along the 2
independent directions: f H =( H px, H py, -H x, -H y ), f F =( F
px, F py, -F x, -F y ) and 2 vectors perpendicular to these
directions: H=(H x, H y, H px, H py ), F=(F x, F y, F px, F py )
(Skokos & Bountis, 2003, Prog. Th. Phys. Supp., 150, 439) A
general deviation vector can then be written as a linear
combination:
Slide 7
7 We have found that all deviation vectors, V(t), tend to the
tangent space of the torus, since a 1,a 2 oscillate, while |a 3 |,
|a 4 | ~ t -1 0 as t. which for B=3A and any E has a second
integral: F=(xp y y p x ) 2 as, for example, in the
Hamiltonian:
Slide 8
8 Behavior of the SALI for chaotic motion Behavior of the SALI
for chaotic motion The evolution of a deviation vector can be
approximated by : where 1 > 2 > are the Lyapunov exponents.
Thus, we derive a leading order estimate for v 1 (t) : and an
analogous expression for v 2 (t): So we get: + (Skokos and Bountis,
2004, J. Phys. A, 37, 6269)
Slide 9
9 We have tested the validity of this important approximation
SALI ~ exp[-( 1 - 2 )t] on many examples, like the 3D Hamiltonian:
with 1 =1, 2 =1.4142, 3 =1.7321, =0.09 Slope= ( 1 - 2 ) 1 =0.037=L
max 2 =0.011
Slide 10
10 Applications 2D map For =0.5 we consider the orbits: ordered
orbit A with initial conditions x 1 =2, x 2 =0. chaotic orbit B
with initial conditions x 1 =3, x 2 =0.
Slide 11
11 Applications 4D map For =0.5, =0.1, =0.1 we consider the
orbits: ordered orbit C with initial conditions x 1 =0.5, x 2 =0, x
3 =0.5, x 4 =0. chaotic orbit D with initial conditions x 1 =3, x 2
=0, x 3 =0.5, x 4 =0. C D D C After N~8000 iterations SALI~10
-8
Slide 12
12 Applications Hnon-Heiles system For E=1/8 we consider the
orbits with initial conditions: Ordered orbit, x=0, y=0.55, p x
=0.2417, p y =0 Chaotic orbit, x=0, y=-0.016, p x =0.49974, p y =0
Chaotic orbit, x=0, y=-0.01344, p x =0.49982, p y =0
Slide 13
13 Applications Hnon-Heiles system t=1000 t=4000 Initial
conditions taken on the y axis (x=0, p y =0)
Slide 14
14 Applications Hnon-Heiles system y pypy E=1/8 t=1000
Slide 15
15 We consider the 3D Hamiltonian Applications 3D Hamiltonian
with A=0.9, B=0.4, C=0.225, =0.56, =0.2, H=0.00765. Behavior of the
SALI for ordered and chaotic orbits Color plot of the subspace x, p
x with initial conditions y=z=p y =0, p z >0
Slide 16
16 Applications 4D Accelerator map We consider the 4D
symplectic map describing the instantaneous kicks experienced by a
proton beam as it passes through magnetic focusing elements of the
FODO cell type (see Turchetti & Scandale 1991, Vrahatis &
Bountis, IJBC, 1996, 1997). Here x 1 and x 3 are the particles
horizontal and vertical deflections from the ideal circular orbit,
x 2 and x 4 are the associated momenta and 1, 2 are related to the
accelerators tunes q x, q y by 1 =2q x, 2 =2q y Our problem is to
estimate the region of stability of the particles motion (the
so-called dynamical aperture of the beam)
Slide 17
17 In Vrahatis and Bountis, IJBC, 1996, 1997, we computed near
the boundary of escape stable periodic orbits of very long period,
e.g. 13237 (!). Note that SALI converges long before L max becomes
zero. q x =0.61903 q y =0.4152
Slide 18
18 Making a small perturbation in the x - tune q x =-0.001,
i.e. with q x =0.61803 q y =0.4152, we detect ordered motion near
an 8 tori resonance
Slide 19
19 SALI quickly detects the thin chaotic layer around the 8-
tori resonance points with |x 3 |