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Michael Schenk

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Related publications (12)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Data-driven modeling of beam loss in the LHC

Tatiana Pieloni, Michael Schenk, Ekaterina Krymova, Loïc Thomas Davies Coyle

In the Large Hadron Collider, the beam losses are continuously measured for machine protection. By design, most of the particle losses occur in the collimation system, where the particles with high oscilla-tion amplitudes or large momentum error are scrape ...

FRONTIERS MEDIA SA2023

Machine learning for beam dynamics studies at the CERN Large Hadron Collider

Frédéric Blanc, Tatiana Pieloni, Michael Schenk, Loïc Thomas Davies Coyle

Machine learning entails a broad range of techniques that have been widely used in Science and Engineering since decades. High-energy physics has also profiled from the power of these tools for advanced analysis of colliders data. It is only up until recen ...

2021

Beam Measurements and Machine Learning at the CERN Large Hadron Collider

Frédéric Blanc, Xavier Buffat, Tatiana Pieloni, Michael Schenk

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021