Advanced Computational Methods For Nonlinear Spin

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19th International Spin Physics Symposium (SPIN2010)Journal of Physics: Conference Series 295 (2011) 012143IOP ed computational methods for nonlinear spindynamicsMartin Berz and Kyoko MakinoDepartment of Physics and Astronomy, Michigan State University, East Lansing, MI 48824,USAE-mail: berz@msu.edu,makino@msu.eduAbstract. We survey methods for the accurate computation of the dynamics of spin in generalnonlinear accelerator lattices. Specifically, we show how it is possible to compute high-ordernonlinear spin transfer maps in SO(3) or SU(2) representations in parallel with the correspondingorbit transfer maps. Specifically, using suitable invariant subspaces of the coupled spin-orbitdynamics, it is possible to develop a differential algebraic flow operator in a similar way as inthe symplectic case of the orbit dynamics.The resulting high-order maps can be utilized for a variety of applications, including longterm spin-orbit tracking under preservation of the symplectic-orthonormal structure and theassociated determination of depolarization rates. Using normal form methods, it is also possibleto determine spin-orbit invariants of the motion, in particular the nonlinear invariant axis aswell as the associated spin-orbit tune shifts.The methods are implemented in the code COSY INFINITY [1] and available for spin-orbitcomputations for general accelerator lattices, including conventional particle optical elementsincluding their fringe fields, as well as user specified field arrangements.1. The One Turn Map for Spin-Orbit MotionWhen analyzing the long-term behavior of the dynamics in a storage ring, it is sufficient toconsider its behavior on a so-called Poincare plane by a map that describes the transport ofbeam quantities from the Poincare plane back to itself.In the conventional model of spin-orbit motion, the orbit dynamics is computed based onthe conventional equations of motion[2], and the spin motion is governed by the so-called BMTequation[3] which determines the propagation of the spin vector based on the fields at thecurrent orbit position. The equations of spin-orbit motion are linear in the spin, and hence thetransformation of the spin variables can be described in terms of a matrix, the elements of whichdepend on the orbital quantities only. The orbital quantities themselves are unaffected by thespin motion, such that altogether the map has the form xf sf M( xi ) A( xi ) · siwhere A( x) SO(3) i.e. it is an orthonormal matrix with matrix elements that depend onposition. The following study will focus on methods of computing the spin-orbit map and onanalyzing it for various quantities that are relevant for the study of the long term behavior ofspin motion.Published under licence by IOP Publishing Ltd1

19th International Spin Physics Symposium (SPIN2010)Journal of Physics: Conference Series 295 (2011) 012143IOP Publishingdoi:10.1088/1742-6596/295/1/012143The practical computation of the spin-orbit map can be achieved in a variety of ways.Conceptually the simplest way is to interpret it as a motion in the nine variables consistingof orbit and spin. In this case, the DA method allows the computation of the spin-orbit map inthe two conventional ways, namely via a propagation operator for the case of the z-independentfields like main fields, and via integration of the equations of motion with DA [4, 2]. But inthis simplest method, the number of independent variables increases from six to nine, whichparticularly in higher orders entails a rather substantial increase of computational and storagerequirements. This limits the ability to perform analysis and computation of spin motion tohigh orders.2. Efficient Computation of the Spin-Orbit MapDue to the special structure of the equations of motion, it is possible to rephrase the dynamicssuch that it is still described in terms of only the six orbital variables. For this purpose, wederive the equation of motion for the individual elements of the matrix A( x). To this end, wewrite sf A( x) · si and insert this into the spin equation of motion [3]. Comparing coefficientsof s, which only appears linearly, we find that the matrix A( x) obeys the differential equationA0 ( x) W ( x) · A( x),(1)where the matrix W ( x) is made from the vector w( x) (w1 , w2 , w3 ) appearing in the particleoptical BMT equation via 0 w3 w20 w1 .W ( x) w3(2) w2 w10Integrating the equations of motion for the matrix A ( x) along with the orbital equationsnow allows the computation of the spin motion based on only six initial variables. Sinceorthogonal matrices have orthogonal columns, and furthermore their determinant is unity andhence the orientation of a dreibein, is preserved, it follows that the third column of the matrixA ( x) (A1 ( x), A2 ( x), A3 ( x)) can be uniquely calculated viaA3 ( x) A1 ( x) A2 ( x) .(3)Thus altogether, only six additional differential equations without new independent variables areneeded for the description of the dynamics. For the case of integrative solution of the equationsof motion, which is necessary in the case of s-dependent elements, these equations can just beintegrated in DA with any numerical integrator.However, for the case of main fields, the explicit avoidance of the spin variables in the aboveway is not possible, because for reasons of computational expense, it is desirable to phrase theproblem in terms of a propagator operator xf fS! exp( s · LF ) x S!.(4) is the nine dimensional vector field belonging to the spin-orbit motion. In thisHere LF F · case, the differential vector field LF describes the whole motion including that of the spin, i.e. F ( x, S) (f (x), w In particular, the operator L contains differentiation withd/ds( x, S) S).Frespect to the spin variables, which requires their presence. Therefore, the original propagatoris not directly applicable for the case in which the spin variables are dropped, and has to be2

19th International Spin Physics Symposium (SPIN2010)Journal of Physics: Conference Series 295 (2011) 012143IOP sed for the new choice of variables. For this purpose, we define two spaces of functionsg( x, s) on spin-orbit phase space as follows:X : Space of functions depending only on xS : Space of linear forms in s with coefficients in XThen we have for g Z : x (Ŵ · s)t · s ) g f t · x g L g,LF g (f t · f(5)and in particular, the action of LF can be computed without using the spin variables;furthermore, since f depends only on x, we have LF g Z. Similarly, we have for g P a1 , a2 , a3 3j aj · sj S :LF a1 , a2 , a3 z (Ŵ · s)t · s ) ( (f t · 3Xaj · sj )j z )aj · sj (f t · XXjj,k Lf a1 Xsj Wkj akWk1 ak , Lf a2 kXWk2 ak , Lf , a3 kXWk3 ak ,(6)kand in particular, the action of LF can be computed without using the spin variables;furthermore, LF a1 , a2 , a3 S. Thus, X and S are invariant subspaces of the operator LF .Furthermore, the action of nine dimensional differential operator LF on S is uniquely describedby (6), expressing it in terms of the six dimensional differential operator Lf . This now allowsthe computation of the action of the original propagator exp( sLF ) on the identity in R9 , theresult of which actually describes the total nine dimensional map. For the upper six lines of theidentity, note that the components are in Z, and hence the repeated application of LF will stayin Z; for the lower three lines, of the identity map are in S, and hence the repeated applicationof LF will stay in S, allowing the utilization of the invariant subspaces. Since elements in eitherspace are characterized by just six dimensional functions, exp(sLF ) can be computed in a merelysix dimensional differential algebra.To conclude we note that one turn maps are often made up of small pieces of maps, and it is 1,2 , Â1,2 ) andoften necessary to compute the map describing the combination of maps. Let (M 2,3 , Â2,3 ) be given; then we get(M 1,3 M 2,3 M 1,2M 1,2 ) · Â1,2 ( z);Â1,3 ( z) Â2,3 (M(7) 1,2 into Â2,3 before composition.note the necessity of inserting M3. Symplectic Tracking of Spin Motion , Â), one of the most immediate applications is the use for trackingGiven a spin orbit map (M and Â, and then theof spin dynamics. To this end, the current orbit vector z is inserted in Mresulting spin matrix is multiplies with the current spin vector s to obtain the new spin vector.This method is conceptually straightforward and also very fast, and allows the study of manyeffects of relevance, in particular long-term depolarization rates.However, in this particular form, the method has some severe limitations in that it does notpreserve the inherent symmetries of the spin-orbit map; specifically, it is known that3

19th International Spin Physics Symposium (SPIN2010)Journal of Physics: Conference Series 295 (2011) 012143IOP Publishingdoi:10.1088/1742-6596/295/1/012143(i) The spin map Â( z) is orthonormal for any argument z is symplectic(ii) The orbit map MHowever, in the high-order representation of the transfer map, these conditions are only satisfiedto the precision with which the expansion of the map represents the true map. While thisprecision may be high for a single turn, there is the distinct possibilities that the remaininginaccuracies systematically build up over time and limit the long-term accuracy. Thus it isdesirable to explicitly restore the two symmetries in each step.The restoration of the orthonormal symmetry is quite straightforward, since its onlydetectable consequence is that the spin vector retains its length. The truncation of thespin matrix will entail small violations of this, but these are easily restored by a simplerenormalization of the length of s.However, the enforcement of the symplectic symmetry is much more complicated becausethere are many different ways in which motion can be symplectified, and it is desirable to do sowith the least overall effect on the predicted orbit motion. Particularly promising are methodsthat are guaranteed to affect the orbit motion in the smallest possible way, i.e. to afford whatis called minimal symplectic tracking. This paper is not the place to delve into details ofthe underlying complexities, but rather we refer the interested reader to the relevant papers[5, 6, 7, 8, 9].In order to give an impression of the effects of symplectification as well as the effects ofutilizing different orders on the behavior of long term tracking, in figure 1 we show horizontaland vertical tracking in a repetitive system based on transfer maps of order three (top) and11 (middle). The higher accuracy of the latter case entails a significantly different long-termbehavior, with a dynamic aperture that nearly doubles in the horizontal plane and increases bya factor of nearly four in the vertical plane. However, in both horizontal and vertical motion oforder 11, there are outer band structures that are not very well defined, and that are actuallydue to errors in symplectification. The bottom pictures again show tracking to order 11, but nowwith symplectification based on the EXPO scheme [6, 8]. It is clear that the apparent dynamicaperture increases further, and in addition the outermost structures become more clearly definedand exhibit detailed island structures.4. Invariant Functions and the Stable Direction of PolarizationHowever, in addition to merely using the spin-orbit map for efficient tracking, many otherimportant quantities can be obtained directly from the one-turn map. The methods derivedhere rest on the construction of high order invariant functions, in much a similar way as inconventional normal for methods for orbit motion [10, 2]. Specifically, we call a function V ( x, s)an invariant function of the motion ifV ( x, s) V (M( x), A( x) · s).Considering that in the motion the orbital part is independent of the spin motion as well as thefact that the motion is linear in the spin variables, it is sufficient to consider only functions ofthe special formV ( x, s) b( x) g ( x) · s.In fact, substituting the expression in the condition of invariance, it follows that b is the usualnormal form invariant function of the orbital part of the map, and the search can be restrictedtoV ( x, s) g ( x) · s.Inserting this into the transfer map, we obtain the necessary conditionA( x) · g ( x) g (M( x)).4

19 h In erna ona Sp n Phys cs Sympos um (SPIN2010)Journa of Phys cs Conference Ser es 295 (2011) 012143······· ·········· ·· ·· · ··· · ···· · ·· · · · · · · ··· ·· · · · ·· · ···· ··· · · ······ ··· ·· ·· · ·· ·· ·········· ················· · ·· · · ··· · ··· ·· ·· ·· · · ······· ········· ··········· ·················· ···· · · ···· ···· ···················· ·· · ····· · · · · ··· · ··· · · ·· · ························· ··· ··· ········· ·· · ·· · ······ ············· ·· ·· · ············ · · · ··· · ················ ··· · · ····· ··· ····· · · ···· · ·· ··· · ·· · ·· · ·· · ··················· ·· ····· ······················· ·· · · ·· ··· ··· ·········· · · ························ ························· ··················· ···· · ···· ·········· · ·· ·· · ··· ·· ········ ····················· ·· · ···· ···· ······················· ···· ························ ·· ·· · ··· ·· ···················· ····· ········ · ·· ·· ··· ······ ······· ···· ··· · ·· · · ···· ····· ·· ·· ·· · · · · · · · · ···· · ·· ···· ···· ··············· ········ ····················· · ··· ····· ·· ·· ··················· ······· ········ ···················· ··· ·········· ·········· · ··· ··· ·· · ··· ···· ···················· ········· ··· · ·· ······· · ··· · · ···· ·· · ·· · ···· ························ ··········· ·· · ·· ············· ·· · ··· ·············· ················· ····· · ·· · ·· ···· ·· ··· · ···················· ·· ····· · · ·· ··· ····· ···· ······················· ·········· ··· ·· ·· ··· · ··· ·· ······················· ··· ·· ·········· · ············· ·········· ···· ·· ·· ···· ··· ···· · · ·· ··· ····················· ·· ··· ··· · ·· · · ····· · · ············· ········· ···· · ·· ·· ·· ········· ·· ········· ············ ···· ·········· ·· ······· ··· · · · · · ··· ·· ···· ·· ·· · ·· ··· · ······ · ······ ····· · ·· ···· ·················IOP Pub sh ngdo 10 1088 1742-6596 295 1 012143········ ······ ········· ··················· ···· ·· ··· ··· · · · · ··· · ·· · · ···· · ·· · · · ·· · ···· ·· · ·· · ··· ·· ···················· ········· ··· · · · ·· · ······ · · · · ·· · · ·· · ············ ·· ··· ····· ·· ························· ···· · · ··· ··· ··········· ·· · · · · ··· · ··· ······ · ····· · · · ······· · · · ······· ············ ··· · ·········· · ···· ······ ··· · ·· ·· ···················· ··· · ···· ····· ········· ··· ··· · ·········· ··· ·· · ·· · · ······ ······ · ···· · · · ·· ····· ·· ···· ··············· ··· ·· · ···· ·· · ·· · · ··· ·· · · · · ····· · ·· ·· ·· · ······ ······· ·· ························ ·· ··· ··· ·· · ·· · ·· ········· ··· ·················· ·· ·· · · ·········· ······ · ···················· · · ······ ··· ········ · ······ ········ ···· ·· ··· ··· · · ···· · ····· ·· ············ ························· · ·· · ·· · · ··· · · ··· ················· ······ ······················ ···· ·· ··· · ···· ··· ············ · ······· · ·················· ····· ············ ·· ······ ······ ······ ·· ··· ·········· ··· ···· ························ ····· ·· ····················· ·········· ······················· ····· ····· ···· ···· ······ ···················· ···· ·· · ·· ··· ·· · ·· ··········· ·· · ···· ··· ·· ···· ··· ··· ··· ······· ·············· · ·· · ·· ··· ···· ··· ···· ············· · ·· · ······················

current orbit position. The equations of spin-orbit motion are linear in the spin, and hence the transformation of the spin variables can be described in terms of a matrix, the elements of which depend on the orbital quantities only. The orbital quantities themselves are una ected by the spin motion

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