Abudinen, F.Akopov, N.Aloisio, A.Babu, V.Banerjee, SwBauer, M.Bennett, J.Bernlochner, F. U.Bessner, M.Bettarini, S.Bilka, T.Bilokin, S.Biswas, D.Bodrov, D.Borah, J.Bracko, M.Branchini, P.Budano, A.Campajola, M.Casarosa, G.Cecchi, C.Cheaib, R.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.Dujany, G.Ecker, P.Eliachevitch, M.Ferber, T.Forti, F.Ganiev, E.Gaz, A.Gelb, M.Gemmler, J.Godang, R.Goldenzweig, P.Graziani, E.Hara, K.Hershenhorn, A.Higuchi, T.Hill, E. C.Hohmann, M.Humair, T.Inguglia, G.Junkerkalefeld, H.Karl, R.Kato, Y.Keck, T.Kiesling, C.Kim, C. -H.Kohani, S.Komarov, I.Kraetzschmar, T. M. G.Krizan, P.Krohn, J. F.Kuhr, T.Kumar, J.Kumara, K.Kurz, S.Lacaprara, S.La Licata, C.Laurenza, M.Lautenbach, K.Lee, S. C.Lieret, K.Li Gioi, L.Liu, Q. Y.Longo, S.Maggiora, M.Manoni, E.Marinas, C.Martini, A.Meier, F.Merola, M.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.Prim, M. T.Pulvermacher, C.Rados, P.Ritter, M.Rostomyan, A.Sandilya, S.Santelj, L.Sato, Y.Schwartz, A. J.Sevior, M. E.Soffer, A.Spataro, S.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.Zlebcik, R.Zupanc, A.2024-01-222024-01-222022-04-011434-6044https://hdl.handle.net/10919/117472We report on new flavor tagging algorithms developed to determine the quark-flavor content of bottom ([InlineMediaObject not available: see fulltext.]) 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 [InlineMediaObject not available: see fulltext.] decays with flavor-specific final states reconstructed in a data set corresponding to an integrated luminosity of 62.8 fb- 1, collected at the [InlineEquation not available: see fulltext.] resonance with the Belle II detector at the SuperKEKB collider. We measure the total effective tagging efficiency to be εeff=(30.0±1.2(stat)±0.4(syst))%for a category-based algorithm and εeff=(28.8±1.2(stat)±0.4(syst))%for a deep-learning-based algorithm.29 page(s)application/pdfenIn CopyrightArticle - Refereedhttps://doi.org/10.1140/epjc/s10052-022-10180-9824Piilonen, Leo [0000-0001-6836-0748]1434-6052