102 citations · 718 across the 60 of their papers we have counts for
5 papers · 2 filters
Scientific opportunies for bERLinPro 2020+, report with ideas and conclusions from bERLinProCamp 2019
Thorsten Kamps, Michael Abo-Bakr, Andreas Adelmann +38
The Energy Recovery Linac (ERL) paradigm offers the promise to generate intense electron beams of superior quality with extremely small six-dimensional phase space for many applica…
Constrained multi-objective shape optimization of superconducting RF cavities considering robustness against geometric perturbations
Marija Kranjcevic, Shahnam Gorgi Zadeh, Andreas Adelmann +2
High current storage rings, such as the Z-pole operating mode of the FCC-ee, require accelerating cavities that are optimized with respect to both the fundamental mode and the high…
OPAL a Versatile Tool for Charged Particle Accelerator Simulations
Andreas Adelmann, Pedro Calvo, Matthias Frey +9
Many sophisticated computer models have been developed to understand the behaviour of particle accelerators. Even these complex models often do not describe the measured data. Inte…
Matching of turn pattern measurements for cyclotrons using multi-objective optimization
Matthias Frey, Jochem Snuverink, Christian Baumgarten +1
The usage of numerical models to study the evolution of particle beams is an essential step in the design process of particle accelerators However, uncertainties of input quantitie…
Machine Learning for Orders of Magnitude Speedup in Multi-Objective Optimization of Particle Accelerator Systems
Auralee Edelen, Nicole Neveu, Yannick Huber +3
High-fidelity physics simulations are powerful tools in the design and optimization of charged particle accelerators. However, the computational burden of these simulations often l…