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Convolutional neural networks and photonic crystals for particle identification at high energy collider experiments
The LHCb RICH detection system at CERN has been established as an effective way to identify particles in high energy physics experiments. Future increases in collision rate and luminosity make limitations of both the particle identification (PID) algorithm and the Cherenkov radiators apparent. These...
Autor principal: | Blago, Michele Piero |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2791645 |
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