# Beam loss Mechanisms + Machine Protection

- Institution: CERN
- Department: CAS - CERN Accelerator School
- Speaker: Annika Nordt
- Year: 2025
- Level: Graduate
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3023620)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This session provides an introduction on what can possibly go wrong when operating a particle accelerator and how to prevent this from happening. Depending on the type of machine and type of particles used, the damage potential can be insignificant or significant, leading to different mitigative measures required to reduce the likelihood of accidents to occur. We will present a list of criteria that can be used to determine a comprehensive strategy for protecting the machine from damage. Further, we will explain how to develop a machine protection strategy and how to implement relevant principles accordingly by providing hands-on examples, covering the full life cycle from early concept, to detailed design, to construction, early commissioning, as well as operation and maintenance of a machine.

00:00:00 Slide 1

00:00:10 Slide 2

00:00:49 Slide 3

00:01:42 Slide 4

00:02:15 Slide 5

00:03:35 Slide 6

00:04:33 Slide 7

00:05:21 Slide 8

00:06:16 Slide 9

00:07:33 Slide 10

00:08:21 Slide 11

00:09:50 Slide 12

00:11:11 Slide 13

00:15:57 Slide 14

00:17:23 Slide 15

00:18:38 Slide 16

00:20:43 Slide 17

00:21:34 Slide 18

00:22:02 Slide 19

00:23:27 Slide 20

00:24:47 Slide 21

00:26:32 Slide 22

00:27:59 Slide 23

00:29:06 Slide 24

00:30:38 Slide 25

00:32:11 Slide 26

00:32:42 Slide 27

00:33:16 Slide 28

00:34:17 Slide 29

00:34:38 Slide 30

00:36:33 Slide 31

00:39:39 Slide 32

00:39:59 Slide 33

00:40:49 Slide 34

00:41:36 Slide 35

00:44:04 Slide 36

00:44:24 Slide 37

00:44:46 Slide 38

00:45:54 Slide 39

00:46:37 Slide 40

00:47:12 Slide 41

## Lectures

1. [Beam loss Mechanisms + Machine Protection](https://invisiblenetwork.ai/learn/cern/3023620/32932061d879), 48 min (CERN's player)