Leveraging Machine Learning (ML), we aim to automate and simplify the complex tuning of the XFEL light source accelerator, SACLA, thereby delivering extreme XFEL performance tailored to experimental user needs. Since 2020, we have implemented a Bayesian Optimization (BO)-based automated tuning framework at SACLA. This enables us to meet the detailed XFEL requirements for the approximately ten...
The application of Artificial Intelligence (AI) and Machine Learning (ML) in particle accelerator systems has become an effective strategy for handling complex operations and enhancing performance. At INFN-Legnaro National Laboratories (INFN-LNL), both offline and online AI/ML-driven approaches have been developed to improve beam dynamics, reduce setup times, and increase overall accelerator...
The development of Beam Position Monitors (BPMs), and particularly the design of the button pickup, is critically important with the new generation of Synchrotron Light Sources. Specifically, the miniaturization of the vacuum pipe and the broadening of the beam spectrum present special challenges for the button's design to meet the superior stability requirements demanded by new feedback...
The E34 experiment at J-PARC MLF aims to precisely measure the positive muon's anomalous magnetic moment and electric dipole moment.
Two technical challenges are critical. First, the ultraslow muon source (from muon cooling) must achieve its target intensity ($10^6 \mu^+/\text{sec}$) and low-emittance ($\epsilon_{x, \text{rms,normalized}}: \sim 0.3 \pi [\text{mm}\cdot\text{mrad}],...
Achieving sustainable beam operation in high-power accelerators requires careful control and minimization of halo-particle-induced beam loss. To accomplish this, it is important to have a clear understanding of the halo-particle distribution. While state-of-the-art instruments can achieve a dynamic range of ~10^6 with counting readout schemes, a novel fluorescence wire scanner combined with a...
In the past two decades, RF controls have improved by two orders in
magnitude achieving meanwhile sub-10 fs phase stabilities and 10e-4
amplitude precision. Analog-to-digital-converters (ADCs) are the main
limitation for further increase in detector resolution. Alternative
architectures are therefore needed to overcome this limitation. The
presented work covers a novel application of the...
SLAC MeV-UED is part of LCLS scientific user facility and has enabled unprecedented opportunities in the studies of ultrafast structural dynamics in a variety of gas, liquid and solid-state systems. To remain at the scientific and technical forefront, continuing enhancements to the facility and operations are needed. In this talk, we will describe developments of intelligent scientific...
The Liverpool Centre for Doctoral Training for Innovation in Data Intensive Science (LIV.INNO) continues to make significant progress in developing precision diagnostics for accelerator facilities. This contribution presents recent results from four projects that collectively demonstrate how data-intensive methods, advanced modelling and modern instrumentation can enhance measurements under...
