Springer Theses

Search for tt̄H Production in the H → bb̅ Decay Channel

Using Deep Learning Techniques with the CMS Experiment

Authors: Rieger, Marcel

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  • 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 association with top quarks
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eBook 96,29 €
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  • ISBN 978-3-030-65380-4
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Hardcover 124,79 €
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  • ISBN 978-3-030-65379-8
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About this book

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.


Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-030-65380-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-030-65379-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Search for tt̄H Production in the H → bb̅ Decay Channel
Book Subtitle
Using Deep Learning Techniques with the CMS Experiment
Authors
Series Title
Springer Theses
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-65380-4
DOI
10.1007/978-3-030-65380-4
Hardcover ISBN
978-3-030-65379-8
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XIII, 217
Number of Illustrations
9 b/w illustrations, 73 illustrations in colour
Topics