Modeling of charged-particle multiplicity and transverse-momentum distributions in pp collisions using a DNN

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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...

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Detalles Bibliográficos
Autores principales: Shokr, E., De Roeck, A., Mahmoud, M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120024/
https://www.ncbi.nlm.nih.gov/pubmed/35589722
http://dx.doi.org/10.1038/s41598-022-11618-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120024/
https://www.ncbi.nlm.nih.gov/pubmed/35589722
http://dx.doi.org/10.1038/s41598-022-11618-6

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