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AKBP: Arbeitskreis Beschleunigerphysik

AKBP 14: Focus session: Machine Learning

AKBP 14.1: Hauptvortrag

Donnerstag, 19. März 2020, 09:30–10:00, MOL 213

Application of Machine Learning to Beam Diagnostics — •Elena Fol — CERN, 1211 Geneva 23, Switzerland — Goethe University, 60438 Frankfurt am Main, Germany

Machine Learning (ML) techniques are widely used in science and industry to discover relevant information and make predictions from data. Recently, the application of ML has grown also in accelerator physics and in particular in the domain of control and diagnostics. The target is to provide an overview of ML techniques demonstrating their potential to be efficiently applied to accelerator problems. A short summary of recent achievements and current studies will be presented, followed by the application of ML to beam optics measurements and corrections in the Large Hadron Collider at CERN.