Opportunities in Machine Learning for Particle Accelerators

Understand

Machine learning (ML) is a subfield of artificial intelligence.

• The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data rather than a priori models.
• ML techniques are now technologically mature enough to be applied to particle accelerators, and we expect that ML will become an increasingly valuable tool to meet new demands for beam energy, brightness, and stability.
• The intent of this white paper is to provide a high-level introduction to problems in accelerator science and operation where incorporating ML-based approaches may provide significant benefit.