Akpinar, Alp. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XI, 134 p. 90 illus., 81 illus. in color. online resource. 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. Chapter 1: Theoretical Background -- Chapter 2: Experimental Apparatus -- Chapter 3: Data Analysis Strategy -- Chapter 4: Results -- Chapter 5: Outlook. by Alp Akpinar. Particles (Nuclear physics) Machine learning Particle accelerators Measurement Measuring instruments Quantum physics Particle Physics Machine Learning Accelerator Physics Measurement Science and Instrumentation Quantum Measurement and Metrology QC793-793.5 9783031783654 https://doi.org/10.1007/978-3-031-78365-4 https://doi.org/10.1007/978-3-031-78365-4 241223 20251030114635.0 978-3-031-78365-4