Search for boosted Higgs boson decays to a pair of spin-0 particle in the 4b final state.

This dissertation presents a new technique in calibration, efficiency estimation, and uncertainty calculation of 4-body AK8 jet taggers, as well as the training and assessment of ParticleNet mass decorrelated regressors, then outlines their usage in the search for boosted Higgs boson decays to a pair of spin-0 particles in the b¯bb¯b final state using CMS Run 2 data. The spin-0 particle mass examined in this analysis ranged from 11 –62.5 GeV. The Higgs production mode considered was gluon-gluon fusion. Both the calibration and analysis is performed on data from proton-proton collisions at the center of mass energy of 13TeV, collected in 2016-2018, corresponding to an integrated luminosity of 138 f b−1. Lastly, the dissertation also describes the study on using statistical tests and machine learning techniques in anomaly detection for the Compact Muon Solenoid Data Quality Monitoring.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Doctoral

Grantor

Baylor University.

Year dc:date.issued

2025

Author dc:creator

• Sutantawibul, Chosila, 1996-

Advisor dc:contributor.advisor

• Brinkerhoff, Andrew.

• Machine learning.
• High energy physics.
• Tagger calibration.

Statement dc:rights

• Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/2104/14090

OAI identifier oai:identifier

oai:baylor-ir.tdl.org:2104/14090