# RF Feedbacks

- Institution: CERN
- Department: CAS - CERN Accelerator School
- Speaker: Heiko Damerau
- Year: 2024
- Level: Graduate
- Language: English
- Subjects: Physics
- Source: [CERN](https://videos.cern.ch/record/3022766)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

"Feedback systems are commonly applied to stabilise charged particle beams in accelerators. In the longitudinal plane radio-frequency (RF) feedback reduces the beam induced voltage in an RF system, or it allows to damp bunch oscillations. While local feedback decreases the cavity impedance at the origin, global feedback cures the consequence when the source driving the instability is not identified or cannot be removed. The general stability criterion for bandwidth-limited RF feedback is derived and defines the maximum gain due to loop delay. Profiting from the periodicity of bunches passing through an RF system in a circular accelerator, this electrical stability limit can be overcome with 1-turn delay or narrow-band multi-harmonic feedback. For a multi-bunch beam in a synchrotron, global feedback systems can either stabilise the beam bunch-by-bunch in the time domain, or mode-by-mode in the frequency domain. Examples for RF feedback implementations are compared, and criteria to choose the appropriate architecture for a given application are established. "

0:00:00 Slide 1

0:01:57 Slide 2

0:03:25 Slide 3

0:04:40 Slide 4

0:05:46 Slide 5

0:06:50 Slide 6

0:09:05 Slide 7

0:11:47 Slide 8

0:13:13 Slide 9

0:14:37 Slide 10

0:17:16 Slide 11

0:20:16 Slide 12

0:22:55 Slide 13

0:24:27 Slide 14

0:25:33 Slide 15

0:26:44 Slide 16

0:29:07 Slide 17

0:30:55 Slide 18

0:32:09 Slide 19

0:35:57 Slide 20

0:37:20 Slide 21

0:39:17 Slide 22

0:40:45 Slide 23

0:41:46 Slide 24

0:43:01 Slide 25

0:44:40 Slide 26

0:46:24 Slide 27

0:48:17 Slide 28

0:49:44 Slide 29

0:51:55 Slide 30

0:53:29 Slide 31

0:54:34 Slide 32

0:55:42 Slide 33

## Lectures

1. [RF Feedbacks](https://invisiblenetwork.ai/learn/cern/3022766/5ba21ff1c793), 58 min (CERN's player)
