Thesis BELLE2-MTHESIS-2023-011

Penguin-Hunting with Neural Nets: Time-Dependent CP Violation Measurement of B^0 \to K_s \pi^0

Pak Hin (Brian) Chan ; Martin Sevior

2019
University of Melbourne Melbourne

Abstract: As it stands, the CP violating parameters of B^0 \to K_s \pi^0 show tension between the Standard Model and experimental results at the 2\sigma level, making it a prime candidate to investigate New Physics particles such leptoquarks and Z0. This discrepancy can be resolved at the Belle II experiment as we expected to achieve a forty-fold increase of data when compared to its predecessor used for the current results. Assuming these parameters do not deviate significantly from their current values, we show in this thesis the tensions in B^0 \to K_s \pi^0 may be resolved as early as 2023. Before a measurement can be taken, one must establish an unbiased framework tested against Monte-Carlo simulated data. In this thesis we fully establish and validate the analysis methodology in preparation for future data taking at Belle II. Using this workflow, alternative vertexing algorithms are investigated, and the uncertainty in the resolution is accounted for in a per-event basis. We assess the statistical uncertainty and bias associated with these methods. B^0 \to J/ \Psi K_s is used as a control mode to estimate systematic uncertainties in B0 \to K_s \pi^0 and correction factors relating the two are determined.

Note: Presented on 06 11 2019
Note: MSc

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Books, Theses & Reports > Theses > Masters Theses

 Record created 2023-05-23, last modified 2023-05-23


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