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.
Cite
@article{arxiv.2206.11709,
title = {A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung},
author = {S. Di Carlo and G. Bonvicini and N. A. Althubiti and R. Ayad and E. De La Cruz-Burelo and I. Domínguez and B. O. El Bashir and H. Farhat and J. Flanagan and R. Gillard and S. Izaguirre Gamez and K. Kanazawa and K. Kumara and D. Liventsev and P. L. M. Podesta-Lerma and D. Ricalde-Herrmann and D. Rodriguez Perez and G. Tejeda-Muñoz and M. Tobiyama I. Heredia de la Cruz},
journal= {arXiv preprint arXiv:2206.11709},
year = {2022}
}
Comments
22 pages, 12 Figures, submitted to Nuclear Instr. Methods A