Data science is suite of tools that can be applied to systems. We briefly review the generalities of data science, give several examples of uses in the physical sciences and in the engineering of systems, and discuss recent applications to complex systems such as in accelerator science and engineering. Specifically, we will give several examples where data science including machine learning...
Particle accelerators are large, complex and time-varying machines with limited diagnostics and time-varying and uncertain charged particle beams, making it difficult to perform automatic and model-based tuning. Free electron lasers (FEL) and plasma wakefield accelerators (PWFA) are creating more and more complicated electron bunch configurations, including multi-color modes for FELs such as...
Precise accelerator simulations are powerful tools in the design and optimization of exiting and new charged particle accelerators. We all know from experience, the computational burden of precise simulations often limits their use in practice. This becomes a real hurdle when requiring real time computation. I will demonstrate two techniques, based on Polynomial Chaos Expansion and Deep...
Jefferson Laboratory is a single-purpose, DOE national lab which serves the nuclear physics community through the Continuous Electron Beam Accelerator Facility (CEBAF). This presentation will give a broad view of the ways machine learning (ML) is being used at the lab, with a bias toward applications in accelerator physics. An ML-based system to classify accelerating cavity trips is nearing...
In order to improve the performance as well as the experimental setups at the large-scale user facility BESSY II (operated by the Helmholtz-Zentrum Berlin), both the beamline and the machine groups have started working towards setting up the infrastructure to introduce modern analysis, optimization and automation based, among others, on Machine Learning techniques. We introduce some of these...
Imaging atmospheric Cherenkov telescope (IACT) arrays are designed to detect astrophysical sources at very high energies, through image analysis of air showers initiated by gamma rays entering the atmosphere. It is crucial for IACTs to separate the multi-telescope stereo images of gamma-ray signals from the background of charged cosmic-ray particles, the flux of which is several orders of...
Reliability, availability and maintainability determine whether or not a large-scale accelerator system can be operated in a sustainable, cost-effective manner. The operation of specific accelerator equipment and IT resources requires an increasingly higher focus on data analysis to meet these requirements. In addition setting up the machine for beam can be a time-consuming activity for the...
