Search for tt¯H Production in the H ? bb¯ Decay Channel

Using Deep Learning Techniques with the CMS Experiment de

Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2021-02-25

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Description


In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, François Englert, and Peter W. Higgs. 48 years later, in 2012, the so-called Higgs boson was discovered in proton-proton collisions recorded by experiments at the LHC. Since then, its ability to interact with quarks remained experimentally unconfirmed.
This book presents a search for Higgs bosons produced in association with top quarks tt¯H in data recorded with the CMS detector in 2016. It focuses on Higgs boson decays into bottom quarks H ? bb¯ and top quark pair decays involving at least one lepton. In this analysis, a multiclass classification approach using deep learning techniques was applied for the first time. In light of the dominant background contribution from tt¯ production, the developed method proved to achieve superior sensitivity with respect to existing techniques. In combination with searches in different decay channels, the presented work contributed to the first observations of tt¯H production and H ? bb¯ decays.

Pages
217 pages
Collection
Springer Theses
Parution
2021-02-25
Marque
Springer
EAN papier
9783030653798
EAN PDF
9783030653804

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
9441 Ko
Prix
94,94 €
EAN EPUB
9783030653804

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
18637 Ko
Prix
94,94 €