Conference paper Open Access
Dark Matter (live coding)
Vasilakos, Konstantinos; Wilson, Scott; Yeung, Tsun Winston; Margetson Emma; Nystrom, Erik
This performance, created in collaboration with the art@CMS project at CERN in Switzerland, involves the real-time sonification of data streams from the Large Hadron Collider, the world’s largest and most complex particle accelerator. Experimental data containing clues towards possible ’new physics’ becomes the raw material for improvised music and visualisations programmed with an aim to creating a result that while beautiful, is both musically and scientifically meaningful.
Files
(110.1 MB)
| Name | Size | |
|---|---|---|
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nime2020_music22.mp4
md5:16047fd0d3480f01ee0aa82fd08210b0 |
109.3 MB | Download |
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nime2020_music22.pdf
md5:023dbaf2b80ed97ec675fe1a511427c9 |
833.9 kB | Download |
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| All versions | This version | |
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| Views | 73 | 73 |
| Downloads | 60 | 60 |
| Data volume | 917.9 MB | 917.9 MB |
| Unique views | 68 | 68 |
| Unique downloads | 42 | 42 |
Indexed in
- Publication date:
- July 21, 2020
- DOI:
-
- Meeting:
- International Conference on New Interfaces for Musical Expression (NIME), Birmingham, 21-25 July 2020 (Session Music)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International