02659nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153072001600169072002300185072001500208100007500223245015700298250001800455264006900473300006400542336002600606337002600632338003600658347002400694490007200718505015700790520060800947650003301555650002201588650002701610650001701637650002701654650002101681650002201702650002201724650002501746650004501771650003901816710003401855773002601889776003601915776003601951776003601987830007202023856004602095978-3-031-78365-4DE-He21320251030114635.0cr nn 008mamaa241223s2024    sz |    s    |||| 0|eng d  a97830317836547 a10.1007/978-3-031-78365-42doi 4aQC793-793.5 7aPHP2bicssc 7aSCI0510002bisacsh 7aPHP2thema1 aAkpinar, Alp.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aSearch for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 datah[electronic resource] /cby Alp Akpinar.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXI, 134 p. 90 illus., 81 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringer Theses, Recognizing Outstanding Ph.D. Research,x2190-50610 aChapter 1: Theoretical Background -- Chapter 2: Experimental Apparatus -- Chapter 3: Data Analysis Strategy -- Chapter 4: Results -- Chapter 5: Outlook.  aThis 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. 0aParticles (Nuclear physics). 0aMachine learning. 0aParticle accelerators. 0aMeasurement. 0aMeasuring instruments. 0aQuantum physics.14aParticle Physics.24aMachine Learning.24aAccelerator Physics.24aMeasurement Science and Instrumentation.24aQuantum Measurement and Metrology.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303178364708iPrinted edition:z978303178366108iPrinted edition:z9783031783678 0aSpringer Theses, Recognizing Outstanding Ph.D. Research,x2190-506140uhttps://doi.org/10.1007/978-3-031-78365-4