| 书目名称 | Search for tt̄H Production in the H → bb̅ Decay Channel | | 副标题 | Using Deep Learning | | 编辑 | Marcel Rieger | | 视频video | | | 概述 | Nominated as an outstanding Ph.D. thesis by the RWTH Aachen University, Aachen, Germany.Received PhD Thesis Award 2019 of the CMS collaboration.Contributed to first observation of Higgs bosons in asso | | 丛书名称 | Springer Theses | | 图书封面 |  | | 描述 | .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 .tt̄H. in data recorded with the CMS detector in 2016. It focuses on Higgs boson decays into bottom quarks H → bb̅ 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 .tt̄. 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 .tt̄H. .production and H → bb̅ decays.. | | 出版日期 | Book 2021 | | 关键词 | Higgs Boson Production; Tth Production; Bb Channel; Tth Search; Tthbb Search; CMS Experiment; Machine Lear | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-65380-4 | | isbn_softcover | 978-3-030-65382-8 | | isbn_ebook | 978-3-030-65380-4Series ISSN 2190-5053 Series E-ISSN 2190-5061 | | issn_series | 2190-5053 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:42:25
