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Modeling of charged-particle multiplicity and transverse-momentum distributions in pp collisions using a DNN
A machine learning technique is used to fit multiplicity distributions in high energy proton-proton collisions and applied to make predictions for collisions at higher energies. The method is tested with Monte Carlo event generators. Charged-particle multiplicity and transverse-momentum distribution...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1038/s41598-022-11618-6 http://cds.cern.ch/record/2778674 |
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