John Adams Institute for Accelerator Science; University of Oxford
Author in the following contributions
- Technological innovation for next-generation particle accelerators: key outcomes of the I.FAST project
- Correction of long-range beam-beam driven optics perturbations for the LHC
- Non-linear resonance feed-down - a new technique for correcting high order errors in the LHC
- Modelling and anomaly detection for Diamond-II Beam Loss Monitors using machine learning techniques
- Studies of unusual pickup geometries for the arc beam position monitors of the FCC-ee
- Ultra-low beta* optics proposal with new final doublet and better field quality at ATF2
- Beam-delivery challenges for plasma-wakefield accelerators
- Improving Injection at Diamond using Dimensionality Reduction Techniques and Bayesian Optimisation
- Sample Efficient Machine Learning with Physics-Informed Kernel Methods and Sampling Techniques
- Pipelines: A Node-Based Editor for Streamlined Optimisation Prototyping in the Control Room
- Non-linear resonance feed-down - a new technique for correcting high order errors in the LHC
- Studies of unusual pickup geometries for the arc beam position monitors of the FCC-ee
- Final Focus Systems at 550 and 1500 GeV
- Modelling and anomaly detection for Diamond-II Beam Loss Monitors using machine learning techniques
- Improving Injection at Diamond using Dimensionality Reduction Techniques and Bayesian Optimisation
- Optimising the proton and electron transfer lines design for high-quality electron acceleration in AWAKE Run 2c
- Final Focus Systems at 550 and 1500 GeV