most citedInput Beam Matching and Beam Dynamics Design Optimization of the IsoDAR RFQ using Statistical and Machine Learning Techniques

4 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2022★ 2 cited

Neural Networks as Effective Surrogate Models of Radio-Frequency Quadrupole Particle Accelerator Simulations

Joshua Villarreal, Daniel Winklehner, Daniel Koser +1

Radio-Frequency Quadrupoles (RFQs) are multi-purpose linear particle accelerators that simultaneously bunch and accelerate charged particle beams. They are ubiquitous in accelerato…

physics.acc-ph2021★ 4 cited

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…