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Thesis

Machine learning applications and observation of Higgs boson decays into a pair of bottom quarks with the ATLAS detector

Abstract:

The discovery in 2012 of the Higgs boson at the Large Hadron Collider (LHC) represents a milestone for the Standard Model (SM) of particle physics. Most of the SM Higgs production and decay rates have been measured at the LHC with increased precision.

This thesis presents the analysis that led to the observation of the SM Higgs boson decay into pairs of bottom quarks. The analysis exploits the production of a Higgs boson associated with a vector boson whose signatures enable effici...

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Particle Physics
Research group:
ATLAS
Oxford college:
St Hilda's College
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Particle Physics
Research group:
ATLAS
Oxford college:
Brasenose College
Role:
Supervisor
More from this funder
Programme:
Marie Skłodowska-Curie Innovative Training Network Fellowship
Funding agency for:
Tosciri, C
Grant:
675440
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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