Deep-learning approaches in particle physics

Published 2018 | Version v1

Journal article Metadata-only

no abstract available

Availability note (English)

Available from: https://www.dpg-verhandlungen.de/

Title: DPG Spring meeting 2018 of the Section Matter and Cosmos (SMuK) with the Division of Physics Education and the working groups Equal Opportunities, Industry and Economics, Young DPG, Physics, Modern Information Technology and Artificial Intelligence
Original Conference Title: DPG-Fruehjahrstagung 2018 der Sektion Materie und Kosmos (SMuK) mit dem Fachverband Didaktik der Physik und den Arbeitskreisen Chancengleichheit, Industrie und Wirtschaft, Junge DPG, Physik, moderne Informationstechnologie und Kuenstliche Intelligenz
Dates: 19-23 Mar 2018
Place: Wuerzburg (Germany)

Country of Publication: Germany
Country of Input or Organization: Germany
INIS RN: 51004384
Subject category: S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator: No Abstract, Conference
Descriptors DEI: CLASSIFICATION; DATA PROCESSING; HIGH ENERGY PHYSICS; LEARNING; NEURAL NETWORKS; PARTICLE IDENTIFICATION; T QUARKS
Descriptors DEC: ELEMENTARY PARTICLES; FERMIONS; PHYSICS; POSTULATED PARTICLES; PROCESSING; QUARKS; TOP PARTICLES

Notes: Session: T 72.3 Do 14:48; Also available as printed version: Verhandlungen der Deutschen Physikalischen Gesellschaft v. 53(4)