B$-flavor tagging at Belle II

Eur. Phys. J. C 82, 283 (2022) We report on new flavor tagging algorithms developed to determine the quark-flavor content of bottom ($B$) mesons at Belle II. The algorithms provide essential inputs for measurements of quark-flavor mixing and charge-parity violation. We validate and evaluate the perf...

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Hauptverfasser: Abudinén, F, Akopov, N, Babu, V, Banerjee, Sw, Bauer, M, Bennett, J. V, Bernlochner, F. U, Bettarini, S, Bilka, T, Bilokin, S, Bodrov, D, Borah, J, Bračko, M, Branchini, P, Budano, A, Campajola, M, Casarosa, G, Chekelian, V, Chen, C, Chen, Y. Q, Cho, H. -E, Cunliffe, S, De Nardo, G, De Pietro, G, de Sangro, R, Dey, S, Di Canto, A, Di Capua, F, Dong, T. V, Ecker, P, Eliachevitch, M, Ferber, T, Ganiev, E, Gaz, A, Gelb, M, Gemmler, J, Godang, R, Goldenzweig, P, Graziani, E, Hara, K, Hershenhorn, A, Higuchi, T, Hill, E. C, Humair, T, Junkerkalefeld, H, Kato, Y, Keck, T, Kiesling, C, Kim, C. -H, Komarov, I, Kraetzschmar, T. M. G, Krohn, J. F, Kumar, J, Kumara, K, Kurz, S, La Licata, C, Laurenza, M, Lautenbach, K, Lieret, K, Liu, Q. Y, Longo, S, Maggiora, M, Manoni, E, Marinas, C, Martini, A, Meier, F, Metzner, F, Milesi, M, Miyabayashi, K, Mohanty, G. B, Mueller, F, Murphy, C, Oxford, E. R, Park, S. -H, Passeri, A, Pham, F, Piilonen, L. E, Pokharel, S, Pulvermacher, C, Rados, P, Ritter, M, Santelj, L, Sato, Y, Schwartz, A. J, Sevior, M. E, Soffer, A, Stroili, R, Sutcliffe, W, Tagnani, D, Takizawa, M, Tamponi, U, Tenchini, F, Torassa, E, Urquijo, P, Vitale, L, Yusa, Y, Zani, L, Zhou, Q. D, Žlebčík, R, Zupanc, A
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Zusammenfassung:Eur. Phys. J. C 82, 283 (2022) We report on new flavor tagging algorithms developed to determine the quark-flavor content of bottom ($B$) mesons at Belle II. The algorithms provide essential inputs for measurements of quark-flavor mixing and charge-parity violation. We validate and evaluate the performance of the algorithms using hadronic $B$ decays with flavor-specific final states reconstructed in a data set corresponding to an integrated luminosity of $62.8$ fb$^{-1}$, collected at the $\Upsilon$(4$S$) resonance with the Belle II detector at the SuperKEKB collider. We measure the total effective tagging efficiency to be $\varepsilon_{\rm eff} = \big(30.0 \pm 1.2(\text{stat}) \pm 0.4(\text{syst})\big)\%$ for a category-based algorithm and $\varepsilon_{\rm eff} = \big(28.8 \pm 1.2(\text{stat}) \pm 0.4(\text{syst})\big)\%$ for a deep-learning-based algorithm.
DOI:10.48550/arxiv.2110.00790