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Bonn 2020 – wissenschaftliches Programm

Die DPG-Frühjahrstagung in Bonn musste abgesagt werden! Lesen Sie mehr ...

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T: Fachverband Teilchenphysik

T 91: Machine Learning: Event and jet reconstruction

Freitag, 3. April 2020, 11:00–13:00, H-HS I

11:00 T 91.1 Event reconstruction for ANTARES using Convolutional Neural Networks — •Nicole Geißelbrecht for the ANTARES-KM3NeT-Erlangen collaboration
11:15 T 91.2 Adversarial Neural Network-based shape calibrations of observables for jet-tagging at CMSMartin Erdmann, •Benjamin Fischer, Dennis Noll, Yannik Alexander Rath, Marcel Rieger, and David Josef Schmidt
11:30 T 91.3 Study on the use of convolutional neural networks for strange-tagging based on jet images from calorimeters — •Nils J. Abicht, Johannes Erdmann, Olaf Nackenhorst, and Sonja Zeissner
11:45 T 91.4 Di-tau mass reconstruction in ATLAS using regression-based deep neural networks — •Lena Herrmann, Philip Bechtle, Klaus Desch, Michael Hübner, and Peter Wagner
12:00 T 91.5 Primary Vertex Reconstruction with ML in ACTS — •Bastian Schlag
12:15 T 91.6 Track finding algorithm for the BelleII detector — •Thomas Lück and Thomas Kuhr for the Belle II collaboration
12:30 T 91.7 Particle identification with the Belle II Calorimeter using Machine Learning — •Abtin Narimani Charan and Torben Ferber
12:45 T 91.8 Muon bundle reconstruction with KM3NeT/ORCA using Deep Learning techniques — •Stefan Reck for the ANTARES-KM3NeT-Erlangen collaboration
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