Thesis BELLE2-MTHESIS-2023-037

Study of Sudden Beam Losses of SuperKEKB and Development of 3D Track Hardware Trigger using Machine Learning at Belle II

Yuxin Liu ; Akimasa Ishikawa ; Taichiro Koga


Abstract: The Belle II Experiment, located at the SuperKEKB asymmetric electron-positron collider in Japan, is at the next generation of B-factories, aiming to explore new physics (NP) in the flavor sector and enhance the precision of Standard Model (SM) measurements. SuperKEKB is expected to achieve the luminosity of $6 \times 10^{35} , \text{cm}^{-2} \text{s}^{-1}$ , enabling unprecedented NP searches and measurements of the CKM matrix. However, the increase of higher luminosity faces challenges of sudden beam loss events and increasing level-1 trigger rates. Sudden beam loss events, characterized by rapid beam loss within a few turns, pose risks to the SuperKEKB and Belle II components, with the underlying causes still unknown. To address this, beam loss monitor with fine timing resolution have been installed to pinpoint the location of initial beam loss. Timing analyses have identified the LER D06 section as the region where the earliest loss occurs, suggesting the occurrence of initial beam instability. Based on the analysis results, countermeasures, such as fast beam abort and additional sensors at the D06 section, are planned to protect detectors and collimators from sudden beam loss. The 3D Track Hardware Trigger, responsible for triggering physics events, faces limitations of trigger rate. With increasing luminosity, the large increased background trigger rate nears the maximum limit. Based on the newly deployed fourth generation universal trigger board (UT4, which have general 4 times logic gates than previous board, new neural-network 3D track trigger architectures have been developed with software simulations. These architectures achieved an 50 \% reeducation of total CDC trigger background. Further work will focus on simplifying the architecture and implementing it in UT4 modules.

Note: Presented on 25 07 2023
Note: MSc

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Books, Theses & Reports > Theses > Masters Theses

 Record created 2023-10-05, last modified 2023-10-05

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