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Beam Measurements and Machine Learning at the CERN Large Hadron Collider
- Publication Year :
- 2021
-
Abstract
- Particle accelerators are among the most complex instruments conceived by physicists for the exploration of the fundamental laws of nature. Of relevance for particle physics are the high-energy colliders, such as the CERN Large Hadron Collider (LHC), which hosts particle physics experiments that are probing the Standard Model predictions and looking for signs of physics beyond the standard model. This paper presents a review of the recent Machine Learning activities carried out on beam measurements performed at the CERN Large Hadron Collider. This paper has been accepted for publication in IEEE Instrumentation and Measurement Magazine and in the published version no abstract is provided.
- Subjects :
- Accelerator Physics (physics.acc-ph)
Physics
Particle physics
Large Hadron Collider
Physics::Instrumentation and Detectors
Physics beyond the Standard Model
FOS: Physical sciences
Particle accelerator
Computer Science::Digital Libraries
Accelerators and Storage Rings
Standard Model
law.invention
Atmospheric measurements
law
Physics::Accelerator Physics
Physics - Accelerator Physics
High Energy Physics::Experiment
Electrical and Electronic Engineering
Particle physics experiments
lhc
Instrumentation
Beam (structure)
physics.acc-ph
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....024bf8116196a46fab9d5ecaacadd7a1