A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

This work shows how it is possible to reconstruct SuperKEKB’s beam parameters using a Neural Network with beamstrahlung signal from the Large Angle Beamstrahlung Monitor (LABM) as input. We describe the device, the model, and discuss the results.

Detalles Bibliográficos
Autores principales: Di Carlo, S., Bonvicini, G., Althubiti, N.A., Ayad, R., De La Cruz-Burelo, E., Domínguez, I., Bashir, B.O. El, Farhat, H., Flanagan, J., Gillard, R., Gamez, S. Izaguirre, Kanazawa, K., Kumara, K., Liventsev, D., Podesta-Lerma, P.L.M., Ricalde-Herrmann, D., Perez, D. Rodriguez, Tejeda-Muñoz, G., de la Cruz, M. Tobiyama I. Heredia
Lenguaje:eng
Publicado: 2022
Materias:
Particle Physics - Experiment
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2022.167453
http://cds.cern.ch/record/2815639
Descripción
Sumario:This work shows how it is possible to reconstruct SuperKEKB’s beam parameters using a Neural Network with beamstrahlung signal from the Large Angle Beamstrahlung Monitor (LABM) as input. We describe the device, the model, and discuss the results.

Ejemplares similares