Cargando…
Machine Learning for particle identification in the LHCb detector
LHCb experiment is a specialised b-physics experiment at the Large Hadron Collider at CERN. It has a broad physics program with the primary objective being the search for CP violations that would explain the matter-antimatter asymmetry of the Universe. LHCb studies very rare phenomena, making it nec...
Autor principal: | Kazeev, Nikita |
---|---|
Lenguaje: | eng |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2744601 |
Ejemplares similares
-
Machine Learning based Global Particle Identification Algorithms at the LHCb Experiment
por: Derkach, Denis, et al.
Publicado: (2019) -
Machine-Learning-based global particle-identification algorithms at the LHCb experiment
por: Derkach, Denis, et al.
Publicado: (2018) -
Machine Learning for Muon Identifcation at LHCb
por: Kazeev, N
Publicado: (2020) -
Second Generation Machine Learning Based Algorithm for Long-lived Particles Reconstruction in Upgraded LHCb Experiment
por: Hashmi, Sabin
Publicado: (2022) -
Particle identification on an FPGA accelerated compute platform for the LHCb upgrade
por: Färber, Christian, et al.
Publicado: (2016)