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Search for tt?H Production in the H ? bb? Decay Channel: Using Deep Learning Techniques with the CMS Experiment. 2021 ed.

Search for tt?H Production in the H ? bb? Decay Channel: Using Deep Learning Techniques with the CMS Experiment. 2021 ed.

・ISBN 978-3-030-65379-8 hard EUR 99.99

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お気に入り
著者・編者Rieger, Marcel,
シリーズ (Springer Theses)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2021
ページ数217 pp.
言語ENG
ニュース番号<A02-50382>

解説

In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, Francois 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.