Particle identification with machine learning in ALICE Run 3

The main focus of the ALICE experiment, quark--gluon plasma measurements, requires accurate particle identification (PID). The ALICE subdetectors allow identifying particles over a broad momentum interval ranging from about 100 MeV/c up to 20 GeV/c. However, a machine learning (ML) model can explore...

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Detalles Bibliográficos
Autores principales: Karwowska, Maja, Jakubowska, Monika, Graczykowski, Łukasz, Deja, Kamil, Kasak, Miłosz
Lenguaje:eng
Publicado: 2023
Materias:
physics.ins-det
Detectors and Experimental Techniques
nucl-ex
Nuclear Physics - Experiment
hep-ex
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2871452

Internet

http://cds.cern.ch/record/2871452

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