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Search for the Higgs Boson produced ...

Perez, Cristina Martin.

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Search for the Higgs Boson produced in association with top quarks with the CMS detector at the LHC

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Search for the Higgs Boson produced in association with top quarks with the CMS detector at the LHC/ by Cristina Martin Perez.
作者:	Perez, Cristina Martin.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xiii, 283 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Higgs bosons. -
電子資源:	https://doi.org/10.1007/978-3-030-90206-3
ISBN:	9783030902063

Search for the Higgs Boson produced in association with top quarks with the CMS detector at the LHC
Perez, Cristina Martin.

Search for the Higgs Boson produced in association with top quarks with the CMS detector at the LHC[electronic resource] /by Cristina Martin Perez. - Cham :Springer International Publishing :2022. - xiii, 283 p. :ill., digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

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 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.

ISBN: 9783030902063

Standard No.: 10.1007/978-3-030-90206-3doiSubjects--Topical Terms:

940517
Higgs bosons.

LC Class. No.: QC793.5.B62 / P47 2022

Dewey Class. No.: 539.721

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520 $a 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.
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