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Belle II Document Server

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1.	Fast Simulation of Electromagnetic Calorimeter Responses using Deep Learning / Jubna Irakkathil Jabbar ; Prof. Dr. Guenter Quast ; Prof. Dr. Florian Bernlochner [BELLE2-PTHESIS-2023-010] Presented on 29 07 2022 PhD 2022 Karlsruhe Institute of Technology / Karlsruhe The monte carlo simulations of particle shower responses in electromagnetic calorimeters demand enormous computational resources and time. [...] Fulltext: PDF; Detailed record - Similar records
2.	Development of a Graph Neural Network based Tagging Approach for Semi-Inclusive Tagging and Rest of Event Clean Up for the Belle II Experiment / Prof. Dr. Florian Bernlochner ; Prof. Dr. Jochen Dingfelder [BELLE2-MTHESIS-2022-039] Presented on 31 03 2022 MSc 2022 University of Bonn / Bonn This thesis focuses on the development of software tools which shall improve the particle reconstruction at Belle II. [...] Fulltext: PDF; Detailed record - Similar records
3.	Development and Deployment of a Deep Neural Network based Flavor Tagger for Belle II / Jochen Gemmler ; Prof. Michael Feindt ; Prof. Florian Bernlochner [ETP-KA/2020-11] [BELLE2-PTHESIS-2021-005] Presented on 15 05 2020 PhD 2020 Karlsruhe Institute of Technology / Karlsruhe In this thesis a flavor tagging algorithm based on these Deep Learning methods is developed and investigated. [...] Fulltext: PDF; Detailed record - Similar records
4.	Combinatorial Kalman Filter and High Level Trigger Reconstruction for the Belle II Experiment / Nils Braun ; Prof. Dr. Michael Feindt ; Prof. Dr. Florian U. Bernlochner [BELLE2-PTHESIS-2019-002] Presented on 21 12 2018 PhD 2018 Karlsuhe Institute of Technology / Karlsruhe The Belle II detector is introduced in Chapter 2 with a focus on the tracking subdetectors and the trigger setup required for this thesis. [...] Fulltext: PDF; Detailed record - Similar records

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