Higgs Boson decays into a pair of bottom quarks : observation with the ATLAS detector and machine learning applications

Higgs Boson decays into a pair of bottom quarks : observation with the ATLAS detector and machine learning applications / Cecilia Tosciri.

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 cor...

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Bibliographic Details
Main Author: Tosciri, Cecilia
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2021.
Series:Springer theses,
Subjects:
Higgs bosons.
Quarks.
Higgs bosons
Quarks
Online Access:Click for online access
Description
Summary: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(H2!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.
Item Description:"Doctoral Thesis accepted by University of Oxford, Oxford, UK."
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9783030879389
3030879380
ISSN:2190-5061
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed October 27, 2021).

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