Impedance, Damper, Radial Modes, Coupled Bunches, Beam- Beam and more - - PowerPoint PPT Presentation

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Impedance, Damper, Radial Modes, Coupled Bunches, Beam- Beam and more - - PowerPoint PPT Presentation

Nested Head Tail Vlasov Solver: Impedance, Damper, Radial Modes, Coupled Bunches, Beam- Beam and more A. A. Burov ov Fermilab milab special thanks - to V.Danilov, E.Metral, N.Mounet, S.White, X.Buffat, and T.Pieloni JAI, Oxford, 10/10/13


slide-1
SLIDE 1

Nested Head Tail Vlasov Solver: Impedance, Damper, Radial Modes, Coupled Bunches, Beam-Beam and more…

A.

  • A. Burov
  • v

Fermilab milab

JAI, Oxford, 10/10/13

1

special thanks - to V.Danilov, E.Metral, N.Mounet, S.White, X.Buffat, and T.Pieloni

slide-2
SLIDE 2

Intensity ensity Effects ects

  • Beams in accelerators consist of charged particles which interact with

each other: – By means of direct Coulomb fields (space charge). By itself, this cannot drive an instability. – By means of image charges and currents. By itself, this cannot drive an instability. – By means of fields left behind (wake fields due to radiation). This may drive collective instability.

  • When a beam is intense enough, wake fields make it unstable.
  • We have to distinguish collective motion of beam particles from their

mutual Coulomb scattering (intra-beam scattering). This is possible due to huge number of particles inside the beam, like ~1E11 /bunch.

  • Here, only collective instabilities are discussed.

2

AB

slide-3
SLIDE 3

Liuville ville/Collisionless /Collisionless Boltzmann/ tzmann/Jeans/Vlasov Jeans/Vlasov Equation ation

  • Collective motion of beam particles can be described as a flow of a

medium in the phase space:

3

AB

[ , ] ; ; [ , ] [ , ] [ , ] f H f t f f f H H H H f f H f H f t               , H f

  • steady state values

, H f

  • perturbations

( ) (z z ) ( ) H W f d        

As a result, we have a linear integro-differential equation to solve. See details in e.g. A.Chao, “Physics of Collective Beam Instabilities”

   

; f f f t H H f H f H f t                              r p r p r p p r p r r p

slide-4
SLIDE 4

Nested ted Head-Tail Tail Basis is

4 z

p z

exp( cos ) ; ;

l b

il i i t Q r c

   

            

I am using equally populated rings which radii are chosen to reflect the phase space density.

r

n r

AB

My basis functions for transverse oscillations

  • f bunched beams:
slide-5
SLIDE 5

Starting rting Equation, ation, single gle bunch ch

  • In the air-bag single bunch approximation, beam equations of motion

can be presented as in Ref [A. Chao, Eq. 6.183]: where is a vector of the HT mode amplitudes, is the damper gain in units of the damping rate, time is in units of the angular synchrotron frequency.

5

ˆ ˆ ˆ X S X Z X D X       X

ˆ ˆ ( ) ( ) ( ) ( ) ˆ ( ) ( )

l m lm lm l m r m l lm l m r

S Z il i d Z J J n d D i J J n

        

          

   

       

2

8

b b s

N r R Q Q     d

AB

slide-6
SLIDE 6

0.4 0.2 0.2 0.4 Re Q Qs 0.01 0.02 0.03 Im Q Qs

Analysis lysis of solutions utions

6

  • 1. For every given gain and chromaticity, the eigensystem is found for the LHC

impedance table (N. Mounet).

  • 2. The complex tune shifts are found from the eigenvalues
  • 3. The stabilizing octupole current is found from the stability diagram for every

mode, then max is taken.

l l

l

 

   

Stability diagram at +200 A of octupoles Impedances

108 109 1010 1011 f, Hz 1 104 2 104 5 104 1 105 2 105 5 105 Z, Ohm cm

Gaussian, transverse only

AB

Im /

s

dQ Q Re /

s

dQ Q

slide-7
SLIDE 7

Coupled pled Equidistant idistant Bunches ches

7

Main idea: For LHC, wake field of preceding bunches can be taken as flat within the bunch length. The only difference between the bunches is CB mode phase advance,

  • therwise they are all identical.

Thus, the CB kick felt by any bunch is proportional to its own offset, so the CB matrix has the same structure as the damper matrix :

1

ˆ ˆ ˆ ; ˆ ˆ ˆ ( ) ( ); 2 ( ) / ; 2 ( { }) ( ) ( )exp( ) 1. ˆ ; ;

m l lm l m r x b k b

X S X Z X D X d D i J J C i W D d n Q W W ks ik M C M X

        

          

  

                  

ˆ D

ˆ C Wake and impedance are determined according to A. Chao book.

AB

slide-8
SLIDE 8

Old damper per gain

8

Old narrow-band ADT gain profile (W. Hofle, D. Valuch) . At 10 MHz it drops 10 times. The new damper is bbb for 50ns beam. Below gain is measured in omega_s units, max gain=1.4 is equivalent to 50 turns of the damping time. ( ) g 

AB

slide-9
SLIDE 9

CB Mode e Damping ping Rate e

9

With as the frequency response function of the previous plot, the time- domain damper’s “wake” is assuming this response to be even function of time (no causality for the damper!). From here (equidistant bunches!): where is the rate provided for low-frequency CB zero-head-tail modes at zero chromaticity. ( ) g 

 

( ) ( )cos / , G g d     

 

1 1

(0) 2 ( )cos( ) ; (0) 2 ( )

k k

G G k k d d G G k

 

  

   

  

 

d

AB

slide-10
SLIDE 10

CB Wake e and Gain n Factors tors for the Old ADT

10

AB

slide-11
SLIDE 11

2(S (SB B and CB), , flat t ADT, , Tunes es at the Plateau teau

11

  • All unstables -0.1<Re[dQ/Qs]<0.
  • Weak head-tail is justified at the

plateau.

  • Mode with max rate (MUM) has ~max

tune shift as well.

  • For unstables -Re[dQ]/Im[dQ]~20-30.

tunes tune shifts all tunes AB

slide-12
SLIDE 12

NHT vs BeamBeam3D mBeam3D tracking cking (S. White) te)

12

Highest growth rates for single bunch, gain=1.4 and nominal impedance

slide-13
SLIDE 13

2(S (SB B and CB), , flat t ADT, , MUM

13

Growth rate and -tune shift of the most unstable mode (MUM) vs chroma and gain. Both are in units of Qs. Note that at the plateau the rate (Im[dQ_c]) is ~20-30 times smaller than the shift (Re[dQ_c]).

AB

Q’ Q’ d

d

slide-14
SLIDE 14

2(S (SB B and CB), , flat t ADT, , MUM CM and Coupling pling

14

Center of mass (CM) and head-tail coupling parameters for MUM. Note strong suppression of CM at the plateau by the damper. Note that at plateau the weak head-tail approximation is well-justified.

( ) / ; .

l l l r

A i J n x X A

 

   

AB

Q’ Q’

d d

2 2 2 1 2 2 2

| | | | ; | | 1; :| | max | | ; HTC 1 | |

r m

n l l l l m l l l lm

X X X l X X X

 

    

 

slide-15
SLIDE 15

2 4 6 8 10 ImpFactor 0.00 0.02 0.04 0.06 0.08 Rate ImpFactor

Q' 0, 5, 15, 20

Intensity ensity scan, n, flat t ADT, , MUM: : where re is TMCI? I?

15

Gain=1.4

Q’

Gain=0

2 4 6 8 10 ImpFactor 0.00 0.01 0.02 0.03 0.04 Rate ImpFactor

Q' 0, 5, 15, 20

AB

Q’

Rate/ImpFactor Rate/ImpFactor

slide-16
SLIDE 16

Coherent erent Beam-Beam Beam

16

Main assumption: bunch length << beta-function. For transversely dipolar modes, CBB is a cross-talk of bunch CM – thus, intra-bunch matrix structure is similar to the ADT and CB: Here 2 identical opposite IRs are assumed (IR1 and IR5 for LHC) with 2K+1 LR collisions for each, every one with its beta-function and separation . Alternating x/y collision for IR1/IR5 is assumed with as a difference between the two phase advances, while is the incoherent beam-beam tune shift per IR.

12 2 1 1 1 1 1 2 2 2 2 2 bb 2 2 * 1 2 1 2 21 1

ˆ ˆ ˆ ˆ ; ˆ ˆ ˆ ˆ ; ˆ ˆ ( / ) cos( ) ; 1 ). ˆ ˆ exp(

/

K K k k k K k K k k

b B X b B X X S X Z X D X C X X S X Z X D X C X B i D d k b b i

 

      

 

                          

 

,

k k

  

bb

 

AB

slide-17
SLIDE 17

Cohere erent nt BB at Platea teau: u: effect ect ~30% 0%

17

AB

3 bb

2.5 10 , / 2, 7 Q K  

     1 beam 1 beam

slide-18
SLIDE 18

Dispersion persion Equation ation

18

Let’s consider a small fraction of the beam described by an NHT amplitude vector : Due to the frequency spread eigenvalues are slightly changed, but eigenvector at the first approximation are the same (similar to QM). From here

ˆ ˆ

p p p p p

x i x S x Z X       

p

x

c

  

1

ˆ ˆ ˆ ˆ ( )

p p p c

x I iS I iS X 

              

1

ˆ ˆ ˆ ˆ ( )

p p c

X I iS I iS X 

              

1 †

ˆ ˆ ˆ ˆ 1 ( )

p p c

X I iS I iS X 

               

2

| ( ) | 1 ( )

l s x c s l s x x

X J J F l d l i J               

 

2

| ( ) | 1

l s

X J Fd Fd    

 

AB

ˆ ˆ ˆ ( )

c

Z X i I iS X      

slide-19
SLIDE 19

Weak k Head-Tail Tail case e

19

This derivation assumes frequency spread can be treated as a perturbation. This is justified when the resonant particles are at the tails of the distribution. With the damper, weak HT approximation can be applied at many cases. If so (true for LHC), the DE is simplified: When the LD is provided by the far tails, the mode form-factor can be

  • mitted with the logarithmic accuracy:

2 2

| ( ) | 1 ( ) ; | ( ) | 1

l s x c s l s x x l s

X J J F l d l i J X J Fd Fd                   

   

2

| ( ) | 1 ( ) .

l s x c s s x x

X J J F l d l i J               

2

| |

l

X

/ 1 ( ) .

x x c s s x

J F J l d l i               

AB

slide-20
SLIDE 20

Stability bility Diagram gram

20

Stability diagram (SD) is defined as a map of real axes  on the complex plane: To be stable, the coherent tune shift has to be inside the SD.

1

/ D

x x s x

J F J d l i   

              

D

c s

l   

AB

0.4 0.2 0.2 0.4Re Q Qs 0.01 0.02 0.03 0.04 Im Q Qs

Stability Diagram: LO 200A, Gauss

 

T T LO 2 2

, ; ( , ) ; ˆ ˆ / ; ; 100A 1.8 10 / (2μm); 1.3 10 / (2μm);

x y x y xx xy s yx yy xx yy xy yx

Q Q J J a a I Q a a a a a a   

 

                      Q J Q A J A

For LHC, with Landau octupoles (LO):

(E.Metral, N.Mounet, B.Salvant, 2010)

Im /

s

dQ Q Re /

s

dQ Q

slide-21
SLIDE 21

0.10 0.05 0.00 0.05 0.10 0.15 0.20 Re 0.005 0.010 0.015 0.020 Im

2D SD, MO 100A, H

Stability bility Diagrams grams

21

AB

( , ) 1 ; ( , ) 1; ( , ) 1.

n x y n x y n n x y x y x n x y x y n

J J F J J a F J J dJ dJ J F J J dJ dJ b           

 

see more on SD with at E. Metral & A. Verdier, 2004

n

F

Gauss Gauss 3 F2

LHC stability diagrams for both emittances 2m and 100A of the octupole current.

Im 0.04Re     Im /

s

dQ Q Re /

s

dQ Q

slide-22
SLIDE 22

Couple ple Bunch ch Factor tor: : LO+, , bbb ADT, , 2Imp p

22

AB 50ns beam

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

Almost no difference at Plateau. All the plots – for 1.5E11 p/b, emittances of 2m, 50ns beam. Plateau Alps

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

single bunch

Q’ Q’

d d

slide-23
SLIDE 23

Tails ls Factor tor: : LO+, , CB, bbb ADT, , 2Imp p

23

AB Gauss

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

F2

Almost no difference at this polarity. Q’ Q’

d d

slide-24
SLIDE 24

Tails ls Factor: tor: LO-, , bbb ADT, , 2Imp p

24

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

F2

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

Gauss

About a factor of 3 difference at the plateau!

AB

Q’ Q’

d d

slide-25
SLIDE 25

Beam Beam-Bea Beam m Factor tor: : 2Imp, p, CB, CBB =/2 /2, , LO+, +, bbb ADT

25

5 5 10 15 20 Q' 100 200 300 400 Joct

gain 0.2, 0.7 and 1.4

CBB effect ~ 30% at the Plateau.

5 5 10 15 20Q' 100 200 300 400 Joct

gain 0.2, 0.7, 1.4

3 IR1

2.5 10 Q

  

AB

Q’ Q’

d d

slide-26
SLIDE 26

Impeda edance nce Factor tor: : CB, CBB =/2 /2, , LO+, +, bbb ADT

26

5 5 10 15 20 Q' 100 200 300 400 Joct

gain 0.2, 0.7 and 1.4

2·Imp 1·Imp

5 5 10 15 20 Q' 50 100 150 200 Joct

gain 0.2, 0.7 and 1.4

At the Plateau it scales ~ linearly

AB

Q’ Q’

d d

slide-27
SLIDE 27

Long Long-Range Range Beam-Beam Beam Tune e Spread ead

  • For the alternating x/y IR1/IR5 collision scheme, the octupolar LR tune

spread is Here is the linear LR bb tune shift per IR, is beam separation in units of their rms size at that point. Round betas are assumed.

  • For LHC at the end of the squeeze , .

27

AB

bb 4 2

2 3 .

x y x

J J Q Q r     

bb

Q  1 r

3 bb

2.5 10 Q

   9.5 r 

slide-28
SLIDE 28

Stability bility Diagrams grams with h Long g Range ge Beam-Beam Beam

28

AB

LO=140A – computed threshold BB only, LO=0 LO=500A, no BB BB and LO=500A LO=1000A, no BB

At the end of the squeeze and LO+, BB is equivalent to +500A of LO. For the black curve, where we are now, we must be very stable, being 7 times in effective LO above the threshold. However, we are unstable! A big beast is still overlooked…

E-cloud in the IRs? Big drift of Q’? …? Any idea can be checked with NHT.

Im /

s

dQ Q

Re /

s

dQ Q

slide-29
SLIDE 29

Summary: mary: power er of the model el

  • Method of nested head-tail modes (NHT) is implemented on a base of
  • Mathematica. It allows to find coherent tunes for all the modes,

solving the eigenproblem at its 4D set: azimuthal  radial  coupled-bunch  beam-beam.

  • The external data: impedance/wake, ADT frequency profile,

distribution functions and nonlinearities, beam-beam scheme.

  • Based on that, all the coherent modes with all the details are

computed.

  • The LO parameter scan, with 5 radial, 21 azimuthal and 15

representative CB modes it takes only 1s on my 3 years old laptop.

  • The same problem takes days for a single-bunch multi-processor

tracking; it is unsolvable for a thousand bunches.

29

AB

slide-30
SLIDE 30

Next t steps ps

  • To include longitudinal plane into SD.
  • To include train structure.
  • To include detuning wakes/impedances.
  • To make all that user friendly and public.

However powerful are our models – they are nothing but tools to see consequences of our ideas. Models cannot have more ideas than we put into them.

30

AB

slide-31
SLIDE 31

Many thanks for your attention!