000003662 001__ 3662
000003662 005__ 20230625202433.0
000003662 037__ $$aBELLE2-UTHESIS-2023-001
000003662 041__ $$aeng
000003662 100__ $$aMichael Binder
000003662 245__ $$aAnomaly Detection using Isolation Forests in Searches for Inelastic Dark Matter with a Dark Higgs at Belle II
000003662 260__ $$aKarlsruhe$$bInstitut für Experimentelle Teilchenphysik (ETP)$$c2023
000003662 300__ $$amult. p
000003662 500__ $$aPresented on 07 06 2023
000003662 502__ $$aBSc$$bKarlsruhe, Karlsruhe Institute of Technology (KIT)$$c2023
000003662 520__ $$aAnomaly detection as a method enables the study of new physical phenomena. This thesis studies the search for Dark Higgs signals given by the Inelastic Dark Matter with a Dark Higgs model. Using MC simulations and the Isolation Forests approach, collisions of electron-positron pairs at Belle II are analyzed to detect deviations in the event distributions. Signals of potential signatures in the detector indicating Dark Higgs candidates are investigated. The study provides a comprehensive insight into the discrimination of different Standard Model processes as well as the use of input feature information from the collision processes. In addition, the sensitivity of anomaly detection is evaluated by comparing the Isolation Forest with the Autoencoder approach.
000003662 700__ $$aTorben Ferber$$edir.
000003662 700__ $$aGiacomo De Pietro$$edir.
000003662 8560_ $$fmichael.binder@student.kit.edu
000003662 8564_ $$uhttps://docs.belle2.org/record/3662/files/BELLE2-UTHESIS-2023-001.pdf
000003662 980__ $$aTHESIS