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Search for tt̄H Production in the H ...
~
Rieger, Marcel.
Search for tt̄H Production in the H → bb̅ Decay Channel = Using Deep Learning Techniques with the CMS Experiment /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Search for tt̄H Production in the H → bb̅ Decay Channel/ by Marcel Rieger.
其他題名:
Using Deep Learning Techniques with the CMS Experiment /
作者:
Rieger, Marcel.
面頁冊數:
XIII, 217 p. 82 illus., 73 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Particle and Nuclear Physics. -
電子資源:
https://doi.org/10.1007/978-3-030-65380-4
ISBN:
9783030653804
Search for tt̄H Production in the H → bb̅ Decay Channel = Using Deep Learning Techniques with the CMS Experiment /
Rieger, Marcel.
Search for tt̄H Production in the H → bb̅ Decay Channel
Using Deep Learning Techniques with the CMS Experiment /[electronic resource] :by Marcel Rieger. - 1st ed. 2021. - XIII, 217 p. 82 illus., 73 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061. - Springer Theses, Recognizing Outstanding Ph.D. Research,.
Introduction -- The tt̄H Process in the Standard Model of Particle Physics -- Experimental Setup -- Analysis Strategy -- Analysis Technologies.
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.
ISBN: 9783030653804
Standard No.: 10.1007/978-3-030-65380-4doiSubjects--Topical Terms:
769262
Particle and Nuclear Physics.
LC Class. No.: QC793-793.5
Dewey Class. No.: 539.72
Search for tt̄H Production in the H → bb̅ Decay Channel = Using Deep Learning Techniques with the CMS Experiment /
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