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View article: Data-driven modeling of beam loss in the LHC
Data-driven modeling of beam loss in the LHC Open
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…
View article: Data-driven modeling of beam loss in the LHC
Data-driven modeling of beam loss in the LHC Open
LHC diagnostics datasets from runs 2017 & 2018 used for training of beam loss machine-learning models for research paper "Data-driven modeling of beam loss in the LHC".
View article: Data-driven modeling of beam loss in the LHC
Data-driven modeling of beam loss in the LHC Open
LHC diagnostics datasets from runs 2017 & 2018 used for training of beam loss machine-learning models for research paper "Data-driven modeling of beam loss in the LHC".
View article: Data-driven modeling of beam loss in the LHC
Data-driven modeling of beam loss in the LHC Open
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 oscillation amplitudes or large momentum …
View article: Beam Measurements and Machine Learning at the CERN Large Hadron Collider
Beam Measurements and Machine Learning at the CERN Large Hadron Collider Open
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 Coll…
View article: Beam Measurements and Machine Learning at the CERN Large Hadron Collider
Beam Measurements and Machine Learning at the CERN Large Hadron Collider Open
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 Magaz…
View article: Modeling Particle Stability Plots for Accelerator Optimization Using Adaptive Sampling
Modeling Particle Stability Plots for Accelerator Optimization Using Adaptive Sampling Open
One key aspect of accelerator optimization is to maximize the dynamic aperture (DA) of a ring. Given the number of adjustable parameters and the compute-intensity of DA simulations, this task can benefit significantly from efficient search…
View article: Detection and Classification of Collective Beam Behaviour in the LHC
Detection and Classification of Collective Beam Behaviour in the LHC Open
Collective instabilities can lead to a severe deterioration of beam quality, in terms of reduced beam intensity and increased beam emittance, and consequently a reduction of the collider’s luminosity. It is therefore crucial for the operat…
View article: Application of machine learning techniques at the CERN Large Hadron Collider
Application of machine learning techniques at the CERN Large Hadron Collider Open
Machine learning techniques have been used extensively in several domains of Science and Engineering for decades. These powerful tools have been applied also to the domain of high-energy physics, in the analysis of the data from particle c…
View article: Machine learning in accelerator physics: applications at the CERN Large Hadron Collider
Machine learning in accelerator physics: applications at the CERN Large Hadron Collider Open
With the advent of Machine Learning a few decades ago, Science and Engineering have had new powerful tools at their disposal. Particularly in the domain of particle physics, Machine Learning techniques have become an essential part in the …
View article: Application of machine learning techniques at the CERN Large Hadron Collider
Application of machine learning techniques at the CERN Large Hadron Collider Open
Machine learning techniques have been used extensively in several domains of Science and Engineering for decades. These powerful tools have been applied also to the domain of high-energy physics, in the analysis of the data from particle c…