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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.
Lenguaje:	eng
Publicado:	2021
Materias:	hep-ex Particle Physics - Experiment
Acceso en línea:	https://dx.doi.org/10.1038/s41598-022-11618-6 http://cds.cern.ch/record/2778674

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