Würzburg 2018 – scientific programme

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T: Fachverband Teilchenphysik

T 23: Hauptvorträge I

T 23.2: Invited Talk

Tuesday, March 20, 2018, 11:35–12:10, Z6 - HS 0.004

Deep learning concepts for particle physics — •Martin Erdmann — RWTH Aachen University, III. Physikalisches Institut A, 52056 Aachen

For two decades, physics analyses have benefited from machine learning using well-founded observables. With new deep learning technique, previously unexplored properties become accessible in data. Higher signal efficiency with identical detector hardware and event simulations with unprecedented speed are evidence of this progress. Various applications of deep learning developed for particle and astroparticle physics will be discussed as well as challenges arising with this new technology.