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Machine Learning Applied to the Analysis of Nonlinear Beam Dynamics Simulations for the CERN Large Hadron Collider and Its Luminosity Upgrade
A machine learning approach to scientific problems has been in use in science and engineering for decades. High-energy physics provided a natural domain of application of machine learning, profiting from these powerful tools for the advanced analysis of data from particle colliders. However, machine...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.3390/info12020053 http://cds.cern.ch/record/2765666 |