T 94: Trigger+DAQ 3
Thursday, March 7, 2024, 16:00–18:15, Geb. 30.23: 3/1
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16:00 |
T 94.1 |
Hypothesis Firmware on L0Global — •Emanuel Meuser
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16:15 |
T 94.2 |
Development of machine-learning based topological algorithms for the CMS level-1 trigger — Johannes Haller, Gregor Kasieczka, Karla Kleinbölting, •Finn Labe, Artur Lobanov, Matthias Schröder, and Shahin Sepanlou
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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
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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
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17:00 |
T 94.5 |
Elevating LHCb’s beauty selection for Run 3: A neural network approach — Johannes Albrecht, Gregory Max Ciezarek, Blaise Delaney, Niklas Nolte, and •Nicole Schulte
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17:15 |
T 94.6 |
Online Track Reconstruction for the Mu3e Experiment — •Haris Avudaiyappan Murugan
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17:30 |
T 94.7 |
A New Track Fit for the ATLAS Event Filter — •Abhirikshma Nandi, André Schöning, Sebastian Dittmeier, and Christof Sauer
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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
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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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