UID:
almahu_9949255033502882
Format:
XIII, 283 p. 170 illus., 158 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030902063
Series Statement:
Springer Theses, Recognizing Outstanding Ph.D. Research,
Content:
In this book, the interaction between the Higgs boson and the top quark is studied with the CMS detector at the LHC via the search for the associate production of the Higgs boson with one (tH) or two (ttH) top quarks. These processes are very rare and thus a high particle selection efficiency by the trigger system is essential. The selection of hadronically decaying tau leptons, expected from the Higgs boson decays, is tackled in the first part, where the trigger is optimized for Run 2 and Run 3 and a novel machine-learning based trigger for the High-Luminosity LHC is developed. The second part presents the analysis of tH and ttH where the Higgs boson decays into tau leptons, W or Z bosons with Run 2 data. The presence of multiple particles in the final state leads to the use of multivariant discriminants based on machine learning and the Matrix Element Method. The sophisticated methods used and the unprecedented amount of data result in the most precise cross section measurements to date.
Note:
Introduction -- Physics of the Higgs Boson and the Top Quark -- The CMS Experiment at the LHC -- Performance and Optimization of the Level-1 Tau Trigger -- Development of a Level-1 Tau Trigger for the HGCAL Detector in the HL-LHC -- Search for the ttH and tH processes in Multileptonic Final States -- Extraction of the ttH and tH Signals With Machine Learning Techniques -- Extraction of the ttH Signal with the Matrix Element Method -- Conclusions.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030902056
Additional Edition:
Printed edition: ISBN 9783030902070
Additional Edition:
Printed edition: ISBN 9783030902087
Language:
English
DOI:
10.1007/978-3-030-90206-3
URL:
https://doi.org/10.1007/978-3-030-90206-3
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