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Particle Identification in the Muon Forward Tracker using Machine Learning
In this work, the particle identification capabilities of the ALICE Muon Forward Tracker (MFT) are explored. The goal is to detect (anti-)nuclei at forward rapidity ($-3.6 < \eta < -2.4$) for the first time. This measurement is crucial to improve rapidity dependent uncertainties in nucleosynth...
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| Lenguaje: | eng |
| Publicado: |
2023
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| Acceso en línea: | http://cds.cern.ch/record/2869129 |