Search for tt¿H Production in the H ¿ bb¿ Decay Channel

Using Deep Learning Techniques with the CMS Experiment
1. Auflage 2021
ISBN: 978-3-030-65382-8
Verlag: Springer International Publishing

Buch, Englisch, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g

Reihe: Springer Theses

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 tt¯H in data recorded with the CMS detector in 2016. It focuses on Higgs boson decays into bottom quarks H ? bb¯ 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 tt¯ 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 tt¯Hproduction and H ? bb¯ decays.

Zielgruppe

Research

Autoren/Hrsg.

Rieger, Marcel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Naturwissenschaften Physik Quantenphysik Kernphysik
• Naturwissenschaften Physik Quantenphysik Teilchenphysik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Introduction.- The tt¯H Process in the Standard Model of Particle Physics.- Experimental Setup.- Analysis Strategy.- Analysis Technologies.