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Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC
Machine learning techniques have been quite popular recently in the high-energy physics community and have led to numerous developments in this field. In heavy-ion collisions, one of the crucial observables, the impact parameter, plays an important role in the final-state particle production. This b...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.22323/1.397.0265 http://cds.cern.ch/record/2788682 |