Searching for new elementary particles is like looking for a needle in a haystack. In the Large Hadron Collider (LHC) particle accelerator at CERN, particles of the highest energy collide 40 million times per second. Most of the time, nothing exciting happens during these collisions. But when something does happen, it is important not to miss the moment. The best way to do this would be to record all the collisions continuously. But such huge amounts of data cannot be stored. So it has to be filtered beforehand - and this is where artificial intelligence can help.
Artificial intelligence is also used in the IceCube neutrino observatory at the South Pole. IceCube consists of a cubic kilometer of glacial ice and thousands of light sensors. This makes it possible to detect the extremely difficult-to-measure neutrinos deep in the Antarctic ice that reach us from all over the world. Computer simulations and artificial intelligence help to filter out the neutrino signals and their directions of origin from the measurement data.
Click here to listen to the ORIGINS podcast: The Universe in the lab: How artificial intelligence (AI) helps in the search for elementary particles
News of the Technical University of Munich
The Podcast
57 Clusters of Excellence, 1 Podcast. On a regular basis, "Exzellent erklärt – Spitzenforschung für alle" reports from one of the research collaborations funded under the Excellence Strategy of the German federal and state governments. The journey goes right across the country, and the topics are just as diverse as the locations: From A for African studies to Z for the future of medicine.
You can find the German-language podcast on all popular platforms as Apple Podcasts, Spotify, Google Podcasts, Amazon Music and on the website: www.exzellent-erklaert.de
Contact:
Stefan Waldenmaier
ORIGINS Excellence Cluster
Email: Stefan.waldenmaier(at)origins-cluster.de
