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, Leo 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