Inserting Unity Matrix I = RR-1 in equ. (6) it follows X0 T (RTRT-1) s0-1 (R-1 R) X0 = 1
from which we derive (RX0)T (Rs0 RT)-1 (RX0) = 1
(7)
(9)
(8)
The equation of the new ellipsoid after transformation becomes X1 T s1-1 X1 = 1
where s1 = Rs0 RT
(10)
(6)
Conclusion: Knowing the TRANSPORT matrix R that transports one ray through an ion-optical system using (7) we can now also transport the phase space ellipse describing the initial beam using (10)
Slide 21
The transport of rays and phase ellipses in a Drift and focusing Quadrupole, Lens
2.
3.
Matching of emittance and acceptance
Lens 2
Lens 3
Focus
Focus
Slide 22
Increase of Emittance e due to degrader
Focus
A degrader / target increases the
emittance e due to multiple scattering.
The emittance growth is minimal when
the degrader in positioned in a focus
As can be seen from the schematic
drawing of the horizontal x-Theta
Phase space.
for back-of-the-envelop discussions!
Slide 23
Emittance e measurement by tuning a quadrupole
Lee, p. 55
The emittance e is an important
parameter of a beam. It can be measured as shown below.
s11 (1 + s12 L/ s11 - L g) + (eL)2/s22
xmax =
Exercise 3:
In the accelerator
reference book s22 is printed as s11
Verify which is correct
¶Bz/¶x * l
Br
g =
(Quadr. field strength
l = eff. field length)
L = Distance between quadrupole and
beam profile monitor
Take minimum 3 measurements of
xmax(g) and determine Emittance e
(11)
(12)
Slide 24
Emittance e measurement by moving viewer method
The emittance e can also be measured in a drift space as shown below.
s11 + 2 L1 s12 + L1 2 s22
(xmax(V2))2 =
L = Distances between viewers
( beam profile monitors)
¾½¾¾¾½¾¾¾¾½¾®
L1 L2
Viewer V1 V2 V3
Beam
(xmax(V3))2 =
s11 + 2 (L1 + L2)s12 + (L1 + L2 )2 s22
where s11 = (xmax(V1))2
e = Ö
```````````
s11s22 - (s12) 2
Emittance:
Discuss practical aspects
No ellipse no e? Phase space!
(13)
(14)
Slide 25
Linear (1st order)TRANSPORT Matrix Rnm
,l
Note: Several notations are in use for 6 dim. ray vector & matrix elements.
Remarks:
Midplane symmetry of magnets
reason for many matrix element = 0
Linear approx. for “well” designed