# Summary of the Workshop on Superconducting Detector Magnets

- Institution: CERN
- Department: Detector Seminar
- Taught by: Matthias Mentink, Benoit Cure
- Year: 2022
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3011135)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

A 'Superconducting Detector Magnets Workshop' took place at CERN from September 12-14, 2022, bringing together the physics community, magnet designers and industry with the purpose to exchange about the future needs and efforts to be achieved in research and development in order to build the next magnet generations for Future Colliders and Beyond Collider Physics Experiments.

The industrial capacities and their availabilities, with the foreseen prospects and plans, were addressed and representatives of industry working on all aspects of superconducting detector magnets were given. A topic of particular importance addressed was the availability of aluminium-stabilized Nb-Ti/Cu conductors.

The workshop provided a forum for the exchange of ideas, concepts, and best practices, to advance on superconducting detector magnet technologies and to foster collaboration.

In the seminar the key points coming out from the workshop will be summarised. .

0:00:00 Slide 1

0:04:04 Slide 2

0:06:07 Slide 3

0:07:10 Slide 4

0:08:45 Slide 5

0:09:55 Slide 6

0:11:09 Slide 7

0:12:14 Slide 8

0:13:15 Slide 9

0:14:47 Slide 10

0:15:58 Slide 11

0:21:33 Slide 12

0:22:37 Slide 13

0:23:56 Slide 14

0:25:16 Slide 15

0:29:31 Slide 16

0:32:53 Slide 17

0:34:33 Slide 18

0:36:16 Slide 19

0:38:21 Slide 20

0:40:45 Slide 21

0:41:51 Slide 22

0:43:37 Slide 23

0:45:25 Slide 24

0:46:39 Slide 25

0:50:56 Slide 26

0:51:58 Slide 27

0:53:08 Slide 28

0:55:41 Slide 29

0:57:13 Slide 30

0:58:44 Slide 31

1:00:44 Slide 32

1:08:45 Slide 33

## Lectures

1. [Summary of the Workshop on Superconducting Detector Magnets](https://invisiblenetwork.ai/learn/cern/3011135/86a78e20fd6a), 1 h 10 min (CERN's player)