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Karlsruhe 2024 – scientific programme

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T: Fachverband Teilchenphysik

T 94: Trigger+DAQ 3

Thursday, March 7, 2024, 16:00–18:15, Geb. 30.23: 3/1

16:00 T 94.1 Hypothesis Firmware on L0Global — •Emanuel Meuser
16:15 T 94.2 Development of machine-learning based topological algorithms for the CMS level-1 triggerJohannes Haller, Gregor Kasieczka, Karla Kleinbölting, •Finn Labe, Artur Lobanov, Matthias Schröder, and Shahin Sepanlou
16:30 T 94.3 The Forward Feature Extractor for the HL-LHC ATLAS Calorimeter Trigger — •Adrian Alvarez Fernandez, Bruno Bauss, Dennis Layh, Ulrich Schaefer, Stefan Tapprogge, and Christian Kahra
16:45 T 94.4 Forward Electron Identification at the ATLAS First Level Trigger for the High Luminosity LHC — •Maximilian Linkert, Dennis Layh, and Stefan Tapprogge
17:00 T 94.5 Elevating LHCb’s beauty selection for Run 3: A neural network approachJohannes Albrecht, Gregory Max Ciezarek, Blaise Delaney, Niklas Nolte, and •Nicole Schulte
17:15 T 94.6 Online Track Reconstruction for the Mu3e Experiment — •Haris Avudaiyappan Murugan
17:30 T 94.7 A New Track Fit for the ATLAS Event Filter — •Abhirikshma Nandi, André Schöning, Sebastian Dittmeier, and Christof Sauer
17:45 T 94.8 Upgrade of the Neural Network Track Trigger for Belle II — •Simon Hiesl, Christian Kiesling, Timo Forsthofer, Kai Unger, and Sebastian Skambraks
18:00 T 94.9 Improving the Belle II Neural Track Trigger with Deep Neural Networks — •Timo Forsthofer, Christian Kiesling, Simon Hiesl, and Kai Unger
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