A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

TL;DR

This paper demonstrates how a neural network can accurately reconstruct SuperKEKB's beam parameters using beamstrahlung signals from the LABM, offering a new approach for beam diagnostics.

Contribution

It introduces a neural network model that utilizes beamstrahlung data to reconstruct beam parameters, advancing beam diagnostics techniques.

Findings

Neural network accurately reconstructs beam parameters

Beamstrahlung signals effectively inform beam diagnostics

Model shows promise for real-time beam monitoring

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.