Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data

This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on hypothesized interactions between the Higgs boson and dark matter. The thesis also includes further research about the future outlook of the experiment, including exploratory research on the adaptation of deep learning models in future dark matter analyses to improve analysis sensitivity, and the design of a new type of data processing hardware to be used in the next phase of the CMS experiment.

Sommario

Chapter 1: Theoretical Background.- Chapter 2: Experimental Apparatus.- Chapter 3: Data Analysis Strategy.- Chapter 4: Results.- Chapter 5: Outlook.

Info autore

• Graduated from Bogazici University in Istanbul, Turkey with a degree in civil engineering and physics.
• Pursued a PhD in Boston University, contributing to dark matter searches and tracker hardware upgrade projects in the CMS experiment at CERN.
• Currently working as a machine learning engineer.

Dettagli sul prodotto

• Autori: Alp Akpinar
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 06.01.2025
• EAN: 9783031783647
• ISBN: 978-3-0-3178364-7
• Pagine: 134
• Dimensioni: 155 mm x 12 mm x 235 mm
• Peso: 341 g
• Illustrazioni: XI, 134 p. 90 illus., 81 illus. in color.
• Serie: Springer Theses
• Categorie: Scienze naturali, medicina, informatica, tecnica > Fisica, astronomia > Fisica atomica, fisica nucleare; machine learning, Maschinelles Lernen, Quantenphysik (Quantenmechanik und Quantenfeldtheorie), Wissenschaftliche Standards, Normung usw., Accelerator Physics, Measurement Science and Instrumentation, Particle Physics, Physics beyond the Standard Model, Quantum Measurement and Metrology, proton-proton collision, CMS detector, vector boson fusion, searches for dark matter, event selection