Accelerator physics relies on numerical algorithms to solve optimization problems in online
accelerator control and tasks such as experimental design and model calibration in …

Measurement and correction of charged particle beam optics have been a major concern
since the advent of strong focusing synchrotron accelerators. Traditionally, particle colliders …

Online tuning of particle accelerators is a complex optimisation problem that continues to
require manual intervention by experienced human operators. Autonomous tuning is a …

The MAX IV 3 GeV electron storage ring in Lund, Sweden, is the first of a new generation of
light sources to make use of the multibend-achromat lattice (MBA) to achieve ultralow …

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 …

Particle accelerators require constant tuning during operation to meet beam quality, total
charge and particle energy requirements for use in a wide variety of physics, chemistry and …

Particle accelerators are host to myriad nonlinear and complex physical phenomena. They
often involve a multitude of interacting systems, are subject to tight performance demands …

With the advent of increased computational resources and improved algorithms, machine
learning-based models are being increasingly applied to complex problems in particle …

Nonlinear dynamics optimization is carried out for a low emittance upgrade lattice of
SPEAR3 in order to improve its dynamic aperture and Touschek lifetime. Two multi-objective …

We describe the use of a genetic algorithm to apply active feedback to a laser wakefield
accelerator at a higher power (10 TW) and a lower repetition rate (5 Hz) than previous work …