國立虎尾科技大學 |

Higgs Boson Decays into a Pair of Bottom Quarks = Observation with the ATLAS Detector and Machine Learning Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Higgs Boson Decays into a Pair of Bottom Quarks/ by Cecilia Tosciri.
其他題名:	Observation with the ATLAS Detector and Machine Learning Applications /
作者:	Tosciri, Cecilia.
面頁冊數:	XIX, 159 p. 84 illus., 76 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Particle and Nuclear Physics. -
電子資源:	https://doi.org/10.1007/978-3-030-87938-9
ISBN:	9783030879389

Higgs Boson Decays into a Pair of Bottom Quarks = Observation with the ATLAS Detector and Machine Learning Applications /
Tosciri, Cecilia.

Higgs Boson Decays into a Pair of Bottom QuarksObservation with the ATLAS Detector and Machine Learning Applications /[electronic resource] :by Cecilia Tosciri. - 1st ed. 2021. - XIX, 159 p. 84 illus., 76 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

Introduction -- Theoretical Introduction -- Machine Learning -- The LHC and the ATLAS Detector -- Physics Object Reconstruction.

This thesis presents the analysis that led to the observation of the Standard Model (SM) Higgs boson decay into pairs of bottom quarks. The analysis, based on a multivariate strategy, exploits the production of a Higgs boson associated with a vector boson. The analysis was performed on a dataset corresponding to a luminosity of 79.8/fb collected by the ATLAS experiment during Run-2 at a centre-of-mass energy of 13 TeV. An excess of events over the expected background is observed in a combination with complementary Hbb searches. The analysis was extended to provide a finer interpretation of the signal measurement. The cross sections of the V H(H → bb) process have been measured in exclusive regions of phase space and used to search for deviations from the SM with an effective field theory approach. The results are discussed in this book. A novel technique for the fast simulation of the ATLAS forward calorimeter response is also presented. The new technique is based on similarity search, a branch of machine learning that enables quick and efficient searches for vectors similar to each other.

ISBN: 9783030879389

Standard No.: 10.1007/978-3-030-87938-9doiSubjects--Topical Terms:

769262
Particle and Nuclear Physics.

LC Class. No.: QC793-793.5

Dewey Class. No.: 539.72

Higgs Boson Decays into a Pair of Bottom Quarks = Observation with the ATLAS Detector and Machine Learning Applications /
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