SMuK 2023 –
wissenschaftliches Programm
T 9: DAQ NN/ML – HW
Montag, 20. März 2023, 16:30–18:00, HSZ/0301
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16:30 |
T 9.1 |
Implementation of an improved Neural Network for identification of hadronically decaying τ leptons in the ATLAS trigger system for the LHC Run 3 — •Naman Kumar Bhalla, Ö. Oğul Öncel, and Markus Schumacher
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16:45 |
T 9.2 |
Machine learning based triggers for VBF H → inv at the Level-1 trigger system of CMS — •Shahin Sepanlou, Johannes Haller, Gregor Kasieczka, Finn Labe, Artur Lobanov, and Matthias Schröder
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17:00 |
T 9.3 |
FPGA-based fast Machine Learning Triggers for Neutrino Telescopes — •Francesca Capel, Christian Haack, Lukas Heinrich, and Christian Spannfellner
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17:15 |
T 9.4 |
The MDT Trigger Processor for the ATLAS HL-LHC Upgrade of the Level-0 Muon Trigger — •Davide Cieri, Markus Fras, Oliver Kortner, and Sandra Kortner
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17:30 |
T 9.5 |
The ATLAS Forward Feature Extractor for the HL-LHC — •Adrian Alvarez Fernandez, Stefan Tapprogge, Ulrich Schaefer, Bruno Bauss, Julian Blumenthal, Marcel Weirich, and Dennis Layh
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17:45 |
T 9.6 |
High-Speed Link Tests for the fFEX L1Trigger Module — •Dennis Layh, Stefan Tapprogge, Ulrich Schäfer, and Bruno Bauss
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