T 69: DAQ and Trigger 3
Wednesday, March 23, 2022, 16:15–18:30, T-H28
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16:15 |
T 69.1 |
Development of an FPGA Implementation of Convolutional Neural Networks for Signal Processing for the Liquid-Argon Calorimeter at ATLAS — Anne-Sophie Berthold, •Nick Fritzsche, Markus Helbig, Rainer Hentges, Arno Straessner, and Johann Christoph Voigt
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16:30 |
T 69.2 |
Towards the next generation Level-1 Trigger of SuperCDMS — •Hanno Meyer zu Theenhausen
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16:45 |
T 69.3 |
The ATLAS Forward Feature Extractor for the Phase-II trigger upgrade — •Adrian Alvarez Fernandez, Julian Blumenthal, Stefan Tapprogge, Ulrich Schaefer, and Bruno Bauss
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17:00 |
T 69.4 |
Neural network based primary vertex reconstruction with FPGAs for the upgrade of the CMS level-1 trigger system — •Matthias Komm
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17:15 |
T 69.5 |
Development of machine-learning based topological selection algorithms for the upgraded L1 trigger system of the CMS detector — •Ihor Komarov, Johannes Haller, Finn Labe, Artur Lobanov, and Matthias Schröder
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17:30 |
T 69.6 |
Anomaly detection as a new strategy for the CMS Trigger — •Sven Bollweg, Karim El Morabit, Gregor Kasieczka, and Artur Lobanov
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17:45 |
T 69.7 |
Implementation of tracking algorithms for live reconstruction using AI processors — •Patrick Schwäbig, Jochen Kaminski, Michael Lupberger, Klaus Desch, and Stephen Neuendorffer
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18:00 |
T 69.8 |
A Hardware-Based Track Trigger — •Joachim Zinßer, Sebastian Dittmeier, and André Schöning
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18:15 |
T 69.9 |
Jet Tagging in the Level-1 Trigger of CMS for the HL-LHC — •Philipp Rincke, Karim El Morabit, Gregor Kasieczka, and Artur Lobanov
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