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A new graph-neural-network flavor tagger for Belle II and measurement of $\sin2\phi_1$ in $B^0 \to J/\psi K^0_\text{S}$ decays

التفاصيل البيبلوغرافية
العنوان: A new graph-neural-network flavor tagger for Belle II and measurement of $\sin2\phi_1$ in $B^0 \to J/\psi K^0_\text{S}$ decays
المؤلفون: Adachi, I., Aggarwal, L., Aushev, V., Fulsom, B. G., Gabrielli, A., Ganiev, E., Garcia-Hernandez, M., Garg, R., Gaudino, G., Gaur, V., Gaz, A., Gellrich, A., Ghevondyan, G., Aversano, M., Ghosh, D., Ghumaryan, H., Giakoustidis, G., Giordano, R., Giri, A., Glazov, A., Gobbo, B., Godang, R., Gogota, O., Goldenzweig, P., Ayad, R., Gradl, W., Grammatico, T., Graziani, E., Greenwald, D., Gruberová, Z., Gu, T., Guan, Y., Gudkova, K., Han, Y., Hara, K., Babu, V., Hara, T., Hayasaka, K., Hayashii, H., Hazra, S., Hearty, C., Hedges, M. T., Heidelbach, A., de la Cruz, I. Heredia, Hernández Villanueva, M., Higuchi, T., Bae, H., Hoek, M., Hohmann, M., Horak, P., Hsu, C.-L., Humair, T., Iijima, T., Inami, K., Ipsita, N., Ishikawa, A., Itoh, R., Bahinipati, S., Iwasaki, M., Jackson, P., Jacobs, W. W., Jaffe, D. E., Jang, E.-J., Ji, Q. P., Jia, S., Jin, Y., Joo, K. K., Junkerkalefeld, H., Bambade, P., Kakuno, H., Kalita, D., Kaliyar, A. B., Kandra, J., Kang, K. H., Kang, S., Karyan, G., Kawasaki, T., Keil, F., Kiesling, C., Banerjee, Sw., Kim, C.-H., Kim, D. Y., Kim, K.-H., Kim, Y.-K., Kindo, H., Kinoshita, K., Kodyš, P., Koga, T., Kohani, S., Kojima, K., Bansal, S., Korobov, A., Korpar, S., Kovalenko, E., Kowalewski, R., Kraetzschmar, T. M. G., Križan, P., Krokovny, P., Kuhr, T., Kulii, Y., Kumar, J., Barrett, M., Kumar, M., Kumar, R., Kumara, K., Kunigo, T., Kuzmin, A., Kwon, Y.-J., Lacaprara, S., Lai, Y.-T., Lam, T., Lanceri, L., Ahmed, H., Baudot, J., Lange, J. S., Laurenza, M., Leboucher, R., Le Diberder, F. R., Lee, M. J., Levit, D., Li, C., Li, L. K., Li, Y., Li, Y. B., Baur, A., Libby, J., Lin, Y.-R., Liu, M. H., Liu, Q. Y., Liu, Z. Q., Liventsev, D., Longo, S., Lueck, T., Lyu, C., Ma, Y., Beaubien, A., Maggiora, M., Maharana, S. P., Maiti, R., Maity, S., Mancinelli, G., Manfredi, R., Manoni, E., Mantovano, M., Marcantonio, D., Marcello, S., Becherer, F., Marinas, C., Martel, L., Martellini, C., Martini, A., Martinov, T., Massaccesi, L., Masuda, M., Matsuoka, K., Matvienko, D., Maurya, S. K., Becker, J., McKenna, J. A., Mehta, R., Meier, F., Merola, M., Metzner, F., Miller, C., Mirra, M., Mitra, S., Miyabayashi, K., Miyake, H., Bennett, J. V., Mizuk, R., Mohanty, G. B., Molina-Gonzalez, N., Mondal, S., Moneta, S., Moser, H.-G., Mrvar, M., Mussa, R., Nakamura, I., Nakamura, K. R., Bernlochner, F. U., Nakao, M., Nakazawa, Y., Narimani Charan, A., Naruki, M., Narwal, D., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Nazaryan, G., Bertacchi, V., Neu, M., Niebuhr, C., Nishida, S., Ogawa, S., Onishchuk, Y., Ono, H., Onuki, Y., Oskin, P., Otani, F., Pakhlov, P., Bertemes, M., Pakhlova, G., Panta, A., Pardi, S., Parham, K., Park, H., Park, S.-H., Paschen, B., Passeri, A., Patra, S., Paul, S., Bertholet, E., Pedlar, T. K., Peschke, R., Pestotnik, R., Piccolo, M., Piilonen, L. E., Angioni, G. Pinna, Podesta-Lerma, P. L. M., Podobnik, T., Pokharel, S., Praz, C., Aihara, H., Bessner, M., Prell, S., Prencipe, E., Prim, M. T., Purwar, H., Rados, P., Raeuber, G., Raiz, S., Rauls, N., Reif, M., Reiter, S., Bettarini, S., Remnev, M., Ripp-Baudot, I., Rizzo, G., Roehrken, M., Roney, J. M., Rostomyan, A., Rout, N., Russo, G., Sanders, D. A., Sandilya, S., Bhuyan, B., Sangal, A., Santelj, L., Sato, Y., Savinov, V., Scavino, B., Schmitt, C., Schwanda, C., Schwickardi, M., Seino, Y., Selce, A., Bianchi, F., Senyo, K., Serrano, J., Sevior, M. E., Sfienti, C., Shan, W., Shi, X. D., Shillington, T., Shimasaki, T., Shiu, J.-G., Shtol, D., Bierwirth, L., Sibidanov, A., Simon, F., Singh, J. B., Skorupa, J., Sobie, R. J., Sobotzik, M., Soffer, A., Sokolov, A., Solovieva, E., Spataro, S., Bilka, T., Spruck, B., Starič, M., Stavroulakis, P., Stefkova, S., Stroili, R., Sumihama, M., Sumisawa, K., Sutcliffe, W., Svidras, H., Takizawa, M., Bilokin, S., Tamponi, U., Tanaka, S., Tanida, K., Tenchini, F., Tittel, O., Tiwary, R., Tonelli, D., Torassa, E., Trabelsi, K., Tsaklidis, I., Biswas, D., Uchida, M., Ueda, I., Uematsu, Y., Unger, K., Unno, Y., Uno, K., Uno, S., Urquijo, P., Ushiroda, Y., Vahsen, S. E., Bobrov, A., van Tonder, R., Varvell, K. E., Veronesi, M., Vinokurova, A., Vismaya, V. S., Vitale, L., Vobbilisetti, V., Volpe, R., Wach, B., Wakai, M., Bodrov, D., Wallner, S., Wang, E., Wang, M.-Z., Wang, X. L., Wang, Z., Warburton, A., Watanuki, S., Wessel, C., Won, E., Xu, X. P., Akopov, N., Bolz, A., Yabsley, B. D., Yamada, S., Yan, W., Yang, S. B., Yelton, J., Yin, J. H., Yoshihara, K., Yuan, C. Z., Yusa, Y., Zhang, B., Bondar, A., Zhilich, V., Zhou, Q. D., Zhou, X. Y., Zhukova, V. I., Žlebčík, R., Belle-II Collaboration, Bozek, A., Bračko, M., Branchini, P., Briere, R. A., Browder, T. E., Budano, A., Bussino, S., Campajola, M., Aloisio, A., Cao, L., Casarosa, G., Cecchi, C., Cerasoli, J., Chang, M.-C., Chang, P., Cheema, P., Chen, C., Cheon, B. G., Chilikin, K., Anh Ky, N., Chirapatpimol, K., Cho, H.-E., Cho, K., Cho, S.-J., Choi, S.-K., Choudhury, S., Cochran, J., Corona, L., Das, S., Dattola, F., Asner, D. M., De La Cruz-Burelo, E., De La Motte, S. A., De Nardo, G., De Nuccio, M., De Pietro, G., de Sangro, R., Destefanis, M., Dey, S., Dhamija, R., Di Canto, A., Atmacan, H., Di Capua, F., Doležal, Z., Dong, T. V., Dorigo, M., Dort, K., Dossett, D., Dreyer, S., Dubey, S., Dujany, G., Ecker, P., Aushev, T., Eliachevitch, M., Feichtinger, P., Ferber, T., Ferlewicz, D., Fillinger, T., Finck, C., Finocchiaro, G., Fodor, A., Forti, F., Frey, A.
المصدر: doi:10.3204/PUBDB-2024-01057
سنة النشر: 2024
المجموعة: DESY Publication Database (PUBDB)
مصطلحات موضوعية: final state, hadronic, BELLE, Upsilon(10570), flavor, performance, KEK-B, efficiency, statistical, 4/3, electron positron, meson
جغرافية الموضوع: DE
الوصف: We present GFlaT, a new algorithm that uses a graph-neural-network to determine the flavor of neutral $B$ mesons produced in $\Upsilon(4S)$ 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 $B$ decays to flavor-specific hadronic final states reconstructed in a 362 $\text{fb}^{-1}$ sample of electron-positron collisions collected at the $\Upsilon(4S)$ resonance with the Belle II detector at the SuperKEKB collider. We achieve an effective tagging efficiency of $(37.40 \pm 0.43 \pm 0.36) \%$, 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 $B^{0}\to J/\psi K^0_\text{S}$ decays to measure the mixing-induced and direct $CP$ violation parameters, $S = (0.724 \pm 0.035 \pm 0.014)$ and $C = (-0.035 \pm 0.026 \pm 0.013)$.
نوع الوثيقة: report
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/arXiv:2402.17260; https://bib-pubdb1.desy.de/record/604259Test; https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2024-01057%22Test
الإتاحة: https://doi.org/10.3204/PUBDB-2024-01057Test
https://bib-pubdb1.desy.de/record/604259Test
https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2024-01057%22Test
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.6FECDF3A
قاعدة البيانات: BASE
الوصف
الوصف غير متاح.