03056nam a22006015i 4500 978-3-031-78365-4 DE-He213 20251030114635.0 cr nn 008mamaa 241223s2024 sz | s |||| 0|eng d 9783031783654 978-3-031-78365-4 10.1007/978-3-031-78365-4 doi QC793-793.5 PHP bicssc SCI051000 bisacsh PHP thema Akpinar, Alp. author. aut http://id.loc.gov/vocabulary/relators/aut 89453 Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data [electronic resource] / by Alp Akpinar. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 134 p. 90 illus., 81 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5061 Chapter 1: Theoretical Background -- Chapter 2: Experimental Apparatus -- Chapter 3: Data Analysis Strategy -- Chapter 4: Results -- Chapter 5: Outlook. 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. Particles (Nuclear physics). 68036 Machine learning. 55059 Particle accelerators. 74387 Measurement. 67386 Measuring instruments. 67387 Quantum physics. 66608 Particle Physics. 68039 Machine Learning. 55059 Accelerator Physics. 74388 Measurement Science and Instrumentation. 67389 Quantum Measurement and Metrology. 67415 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031783647 Printed edition: 9783031783661 Printed edition: 9783031783678 Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5061 66370 https://doi.org/10.1007/978-3-031-78365-4 ZDB-2-PHA ZDB-2-SXP 65974 65974