1 / 24

Understand and Correct a Defective Lattice: Phasors

Understand and Correct a Defective Lattice: Phasors. Pictures. Resonance: in blue. Distortion. Resonances and Distortions. A resonance is an abnormality of phase space.

karli
Download Presentation

Understand and Correct a Defective Lattice: Phasors

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Understand and Correct a Defective Lattice: Phasors

  2. Pictures Resonance: in blue Distortion

  3. Resonances and Distortions • A resonance is an abnormality of phase space. • A distortion is an unacceptable deviation from linearity (or mid-plane symmetry) but the map is still a rotation in disguise. • All these effects are the results of iterating a map!

  4. We want to Understand MN • Globally MsN=As◦RN◦As-1 is impossible if resonances are present. • Therefore, let us raise the map “manually” to a power “N” • Phasors will emerge from that treatment!

  5. Problem • M = M1◦ (I + e C+…) • M1 is the linear part of the map • C is the quadratic distortion of this map • “…” represents higher order terms which we will temporarily neglect • Question: MN = M1◦ (I + eC+…) ◦ … ◦ M1◦ (I + eC+…) Can we compute this map to first order in e?

  6. Normalize what you understand already: Linear Part A-1◦ MN ◦A ={ A-1◦ M1◦ A ◦ A-1◦ (I + eC+…) ◦A}N = {R ◦ (I + eĈ+…)}N Where Ĉ = A-1C ◦ A We will symbolically denote the effect of A on C as: Ĉ = AC

  7. Example: C is a sextupole kick • C=(0,kx2) • A is a Courant-Snyder Matrix • C ◦ A=(0,kb x2) • Ĉ =A-1 C ◦ A=(0, kb3/2x2 )

  8. MN to first order: Origin of Phasors {R ◦ (I + eĈ+…)}N =? = R◦(I + eĈ+…) ◦R◦(I + eĈ+…) ◦ … ◦ R◦(I + eĈ+…) ◦R◦(I + eĈ+…) = R◦(I + eĈ+…) ◦ R-1◦R2 ◦(I + eĈ+…) ◦ R-2◦R3◦(I + eĈ+…) R-3◦ …◦ RN◦(I + eĈ+…) ◦R-N◦RN = (I + e(R1Ĉ+ R2Ĉ+ R3Ĉ+ R4Ĉ+ … + RNĈ )+ Order(e2))◦RN • Therefore understanding RkĈ is extremely important.

  9. Phasors: Eigen-operators • We will see that Ĉ is connected to a vector field and therefore in the Hamiltonian case to a simple Hamiltonian function. • For the moment, let us examine the general case of RkĈ where Ĉ is a vector function. (general = non Hamiltonian) • We want to find the eigenvector field: R Ĉ = = R-1 Ĉ◦ R =lĈ

  10. Resonance Basis • h±=x±i p or (x1new,x2new)= (x1old+i x2old , x1old - i x2old ) • This transformation can be written in matrix form as: • The matrix R in that new basis is given by E=B-1RBwhich is just

  11. Definition of Phasors The n-turn map is: = (I + e (E1G+ E2G+ E3G+ E4G+ … + ENG)+ Order(e2))◦ En EkG= E-k G◦ EkEab = dabexp( (-1)a im) In the new basis : Gi = S Gi;nmx1nx2m EkG = S Gi;nm exp(ik{m-n-(-1)a} m) x1nx2m

  12. Summing up • Sk=1,NEkG |a = Sk=1,NS Gi;nm exp(ik{m-n-(-1)a} m) x1nx2m = S Gi;nm {1-exp(iNQnm) }/{exp(-iQnm)-1}x1nx2m Qnm = {m-n-(-1)a} m Sextupole Order m+n=2 ; m-n-(-1)a =±3, ±1; Let us classify the cases.

  13. Phasors at 1st Order in Sextupoles If 3m≈k2p , then G1;02 and G2;20 can get real big! These are now quasi-secular terms and we must treat them with care: this is best done if we reveal the Hamiltonian nature of the map explicitly.

  14. Phasors at 1st Order (continue) If 3m≈k2p , then G1;02 and G2;20 can get real big! These are now quasi-secular terms and we must treat them with care: this is best done if we reveal the Hamiltonian nature of the map explicitly. Are secular terms a property of resonance? Answer: no! Tune shifts with amplitude are unavoidable in a nonlinear map! Therefore even maps which can be made into a rotation M=A◦R◦A-1contain secular terms which we reinterpret as being part of the rotation!

  15. Hamiltonian Methods The coefficients Gi;mn in the map I+eG+… are not arbitrary. In fact, it can be shown easily (we will show that) that there are only two independent terms related to the n=k phasors in the sextupole order map. Hamiltonian → G2;11 + 2G1;20= 0 and G1;11 + 2G2;02 = 0. Hamiltonian → G1 = 2i ∂2 g and G2 = -2i ∂1 g . Or G = [g,Identity] where [x,p]=1 and therefore [h+,h-]=-2i

  16. From g to G • g= g30 h+3+ g21 h+2 h- + g12 h+h-2 + g03 h-3 • G1=[g,h+]= 2i{ g21 h+2 +2 g12 h+h- + 3g03 h-2 } • G2=[g,h-]= -2i{ 3g30 h+2 +2 g21 h+h- + g12h-2 } • G1;20 =2i g21 G1;11 =4i g12 G1;02 =6i g03 • G2;20 =-6i g30 G2;11 = -4i g21 G2;02 =-2i g12 Therefore G2;11 + 2G1;20= 0 and G1;11 + 2G2;02 = 0.

  17. Making I+eG Hamiltonian • x=I+eG+… = exp(:eg:)I • Here :g:f is defined as [g,f] • Notice that x=exp(:eg:)I is an exact solution of dx/de = [x,-g], so x is exactly Hamiltonian • Furthermore g is an invariant of x!

  18. Pictures: Go back to Problem Resonance: in blue Distortion

  19. Start with Resonance • Globally Ms=As◦R◦As-1 is impossible. • Globally Ms=As◦N◦As-1 such that N=R2p/3◦N◦R2p/3-1 is possible.

  20. One-Resonance Normalization

  21. In our New Phasor Language • M = exp(:g:)R where g contains the non linear effects • Remove phasors not related to k3n: New map is N = Aexp(:g:)R A-1 = exp(:r:)R • Cube the map : N3= exp(:r3:)R3 • N3 is near the identity • Therefore N3 = exp(:3H:) • H is an invariant which potentially includes islands!

  22. So H is to order dodecapole • H=-(dJ+aJ2+bJ3) +J3/2((A+CJ)cos(3f) + (B+DJ)sin(3f)) +J3(Ecos(6f) + Fsin(6f)) • Now for fun, we will correct a small lattice using sextupoles just to see if these tools make any sense!

  23. Three corrections H=-(dJ+aJ2+bJ3)+J3/2((A+CJ)cos(3f)+(B+DJ)sin(3f))+J3(Ecos(6f)+Fsin(6f)) Standard Correction Methods • Correct Linear Terms A=B=0 • If not good enough, try A=B=C=D=0 • Correct tune around island: • d+2aJ0+3bJ02 =0 • A+CJ0=B+DJ0=0. • This can be done numerically or with H!

  24. Next Lecture • We will look in details in the computer implementation

More Related