Machine learning based event classification for the energy-differential measurement of the natC(n,p) and natC(n,d) reactions

The paper explores the feasibility of using machine learning techniques, in particular neural networks, for classification of the experimental data from the joint <math display="inline" id="d1e994" altimg="si4.svg"><msup><mrow/><mrow><mtext>...

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Detalles Bibliográficos
Autores principales: Žugec, P., Barbagallo, M., Andrzejewski, J., Perkowski, J., Colonna, N., Bosnar, D., Gawlik, A., Sabate-Gilarte, M., Bacak, M., Mingrone, F., Chiaveri, E.
Lenguaje:eng
Publicado: 2022
Materias:
nucl-ex
Nuclear Physics - Experiment
cs.CV
Computing and Computers
physics.data-an
Other Fields of Physics
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2022.166686
http://cds.cern.ch/record/2806918

Internet

https://dx.doi.org/10.1016/j.nima.2022.166686
http://cds.cern.ch/record/2806918

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