Journal Article

A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment (2022) 1042
DOI: 10.1016/j.nima.2022.167453
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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.

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Di Carlo, S., Bonvicini, G., Althubiti, N. A., Ayad, R., De La Cruz-Burelo, E., Domínguez, I., … de la Cruz, I. H. (2022). A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1042. https://doi.org/10.1016/j.nima.2022.167453

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