We measure the branching fraction and -violating flavor-dependent rate asymmetry of decays reconstructed using the Belle II detector in an electron-positron collision sample containing mesons. Using an optimized event selection, we find signal decays in a fit to background-discriminating and flavor-sensitive distributions. The resulting branching fraction is and the -violating asymmetry is . Published by the American Physical Society2025 
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                            New graph-neural-network flavor tagger for Belle II and measurement of sin 2ϕ1 in B0→J/ψKS0 decays
                        
                    
    
            We present GFlaT, a new algorithm that uses a graph-neural-network to determine the flavor of neutral mesons produced in decays. It improves previous algorithms by using the information from all charged final-state particles and the relations between them. We evaluate its performance using decays to flavor-specific hadronic final states reconstructed in a sample of electron-positron collisions collected at the resonance with the Belle II detector at the SuperKEKB collider. We achieve an effective tagging efficiency of , where the first uncertainty is statistical and the second systematic, which is 18% better than the previous Belle II algorithm. Demonstrating the algorithm, we use decays to measure the mixing-induced and direct violation parameters, and . Published by the American Physical Society2024 
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                            - Award ID(s):
- 2209481
- PAR ID:
- 10613035
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Publisher / Repository:
- American Physical Society
- Date Published:
- Journal Name:
- Physical Review D
- Volume:
- 110
- Issue:
- 1
- ISSN:
- 2470-0010
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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