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Neural network regression for particle identification with the ALICE TPC detector in Run 3
The gaseous Time Projection Chamber (TPC) of the ALICE experiment at CERN serves some of the most crucial roles in many physics analyses within the collaboration and is responsible for 92.5% of the raw data taken with the experiment. One of its major advantages is extensive particle identification o...
Autor principal: | Sonnabend, Christian |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2856252 |
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