102 citations · 718 across the 60 of their papers we have counts for
38 papers · 1 filter
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Sichen Li, Jochem Snuverink, Fernando Perez-Cruz +1
Unforeseen particle accelerator interruptions, also known as interlocks, lead to abrupt operational changes despite being necessary safety measures. These may result in substantial…
Computational Models for High-Power Cyclotrons and FFAs
Andreas Adelmann, Chris T. Rogers
A summary of numerical modeling capabilities regarding high power cyclotrons and fixed field alternating gradient machines is presented. This paper focuses on techniques made avail…
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Sichen Li, Andreas Adelmann
Particle accelerators are complex facilities that produce large amounts of structured data and have clear optimization goals as well as precisely defined control requirements. As s…
Report of the Snowmass'21 Workshop on High-Power Cyclotrons and FFAs
Daniel Winklehner, Andreas Adelmann, Jose R. Alonso +4
This whitepaper summarizes and the state of the field of high-power cyclotrons and FFAs as discussed by international experts during a three-day workshop of the same name. The work…
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…