102 citations · 718 across the 60 of their papers we have counts for
6 papers · 2 filters
Input Beam Matching and Beam Dynamics Design Optimization of the IsoDAR RFQ using Statistical and Machine Learning Techniques
Daniel Koser, Loyd Waites, Daniel Winklehner +3
We present a novel machine learning-based approach to generate fast-executing virtual radiofrequency quadrupole (RFQ) particle accelerators using surrogate modelling. These could p…
Benchmarking Collective Effects of Electron Interactions in a Wiggler with OPAL-FEL
Arnau Albà, Jimin Seok, Andreas Adelmann +9
OPAL-FEL is a recently developed tool for the modeling of particle accelerators containing wigglers or undulators. It extends the well established 3D electrostatic particle-trackin…
Fast, efficient and flexible particle accelerator optimisation using densely connected and invertible neural networks
Renato Bellotti, Romana Boiger, Andreas Adelmann
Particle accelerators are enabling tools for scientific exploration and discovery in various disciplines. Finding optimized operation points for these complex machines is a challen…
Beam stripping interactions in compact cyclotrons
Pedro Calvo, Iván Podadera, Daniel Gavela +4
Beam stripping losses of H- ion beams by interactions with residual gas and electromagnetic fields are evaluated. These processes play an important role in compact cyclotrons where…
Order-of-Magnitude Beam Current Improvement in Compact Cyclotrons
Daniel Winklehner, Andreas Adelmann, Janet M. Conrad +4
There is great need for high intensity proton beams from compact particle accelerators in particle physics, medical isotope production, and materials- and energy-research. To addre…
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…