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Machine learning based long-lived particle reconstruction algorithm for Run 2 and upgrade LHCb trigger and a flexible software platform for the UT detector read-out chip emulation
This thesis discusses two projects, which were performed during the author's work for the LHCb Collaboration. The first one was related to the design and improvement of the algorithm dedicated to reconstructing long-lived particles, such as $K_{s}$ or $\Lambda$ hadrons. This algorithm is used...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2772792 |