The full optimization of the design and operation of instruments whose functioning relies on
the interaction of radiation with matter is a super-human task, due to the large dimensionality …

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

Expensive multi-objective optimization problems can be found in many real-world
applications, where their objective function evaluations involve expensive computations or …

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

Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

Particle accelerators are extremely complex machines that are challenging to simulate,
design, and control. Over the past decade, artificial intelligence (AI) and machine learning …

C $^ 3$ is an opportunity to realize an e $^+ $ e $^-$ collider for the study of the Higgs
boson at $\sqrt {s}= 250$ GeV, with a well defined upgrade path to 550 GeV while staying on …

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 …

Applications of laser-plasma accelerators (LPA) require independent control of electron
beam parameters. However, due to the complex coupling of the many variables governing …

We have evaluated the data-efficient Bayesian optimization method for the specific task of
injection tuning in a circular accelerator. In this paper, we describe the implementation of this …