27 citations · 42 across the 2 of their papers we have counts for
2 papers
physics.acc-ph2022★ 27 cited
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization
Johannes Kirschner, Mojmir Mutný, Andreas Krause +3
Tuning machine parameters of particle accelerators is a repetitive and time-consuming task that is challenging to automate. While many off-the-shelf optimization algorithms are ava…
physics.acc-ph2021★ 15 cited
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Sichen Li, Mélissa Zacharias, Jochem Snuverink +4
The beam interruptions (interlocks) of particle accelerators, despite being necessary safety measures, lead to abrupt operational changes and a substantial loss of beam time. A nov…