학술논문
A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung
Document Type
Working Paper
Author
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
Source
Subject
Language
Abstract
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.
Comment: 22 pages, 12 Figures, submitted to Nuclear Instr. Methods A
Comment: 22 pages, 12 Figures, submitted to Nuclear Instr. Methods A