← Back to cohort
Measurement of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>B</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mi>τ</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msub><mml:mi>ν</mml:mi><mml:mi>τ</mml:mi></mml:msub></mml:math> branching fraction with a hadronic tagging method at Belle II
I. Adachi, K. Adamczyk, H. Ahmed, Y. H. Ahn, H. Aihara, Н. Акопов, M. Alhakami, A. Aloisio, N. Althubiti, M. Angelsmark, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, M. Aversano, R. Ayad, V. Babu, N. K. Baghel, S. Bahinipati, P. Bambade, S. Banerjee, M. Bartl, J. Baudot, A. Baur, A. Beaubien, F. Becherer, Jürgen Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, D. Biswas, A. Bobrov, D. Bodrov, A. Bondar, J. Borah, A. Boschetti, A. Bożek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, Q. Campagna, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, M.-C. Chang, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, J. Cochran, L. Corona, J. X. Cui, E. De La Cruz–Burelo, S. A. De La Motte, G. De Nardo, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, A. Di Canto, J. Dingfelder, Z. Doležal, T. V. Dong, M. Dorigo, K. Dugic, G. Dujany, P. Ecker, D. Epifanov, J. Eppelt, T. Ferber, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, B. G. Fulsom, A. Gabrielli, A. Gale, M. Garcia-Hernandez, Lorenz Gärtner, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, P. Gironella Gironell, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, E. Graziani, D. Greenwald, Z. Gruberová, Y. Guan, K. Gudkova, I. Haide, H. Hayashii, S. Hazra, C. Hearty, I. Heredia-De La Cruz, T. Higuchi, M. Hoek, M. Hohmann, R. HOPPE, P. Horak, C.-L. Hsu, Audrey Huang, T. Iijima, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, P. Jackson, D. Jacobi, W. W. Jacobs, D. E. Jaffe, E.-J. Jang, Y. Jin, A. Johnson, K. K. Joo, H. Junkerkalefeld, J. Kandra, K. H. Kang, G. Karyan, T. Kawasaki, C. Ketter, C. Kiesling, D. Y. Kim, J.-Y. Kim, K.-H. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, P. Križan, P. Krokovny, T. Kuhr, D. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, T. Lam, J. S. Lange, T. S. Lau, M. Laurenza, R. Leboucher, F. Le Diberder, M. J. Lee, P. Leo, L. K. Li, W. Z. Li, Y. Li, J. Libby, S. Lin, M. H. Liu, Q. Y. Liu, Zhiqing Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Yue Ma, C. Madaan, M. Maggiora, R. Maiti, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Mariñas, C. Martellini, A. Martens, T. Martinov, L. Massaccesi, M. Masuda, K. Matsuoka, S. K. Maurya, M. Maushart, J. A. McKenna, F. Meier, D. Meleshko, M. Merola, C. Miller, M. Mirra, K. Miyabayashi, R. Mizuk, S. Mondal, S. Moneta, H.-G. Moser, I. Nakamura, M. Nakao, H. Nakazawa, Z. Natkaniec, A. Natochii, M. Nayak, M. Neu, M. Niiyama, S. Nishida, S. Ogawa, R. Okubo, H. Ono, G. Pakhlova, S. Pardi, J. Park, K. Park, S.-H. Park, B. Paschen, S. Patra, S. Paul, T. K. Pedlar, I. M. Peruzzi, R. Peschke, L. E. Piilonen, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, S. Privalov, I. Prudiiev, H. Purwar, S. Raiz, K. Ravindran, J. U. Rehman, M. Reif, S. Reiter, M. Remnev, D. Ricalde Herrmann, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, J. M. Roney, A. Rostomyan, N. Rout, D. A. Sanders, S. Sandilya, L. Šantelj, V. Savinov, B. Scavino, C. Schmitt, J. Schmitz, S. Schneider, C. Schwanda, Y. Seino, K. Senyo, M. E. Sevior, C. Sfienti, W. Shan, X. Shi, T. Shillington, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, S. Stefkova, R. Stroili, Y. Sue, M. Sumihama, M. Takizawa, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, E. Torassa, K. Trabelsi, I. Tsaklidis, I. Ueda, T. Uglov, K. Unger, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, V. Vobbilisetti, R. Volpe, S. Wallner, M.-Z. Wang, A. Warburton, S. Watanuki, C. Wessel, E. Won, X. P. Xu, B. Yabsley, S. Yamada, W. B. Yan, S. B. Yang, J. Yelton, J. H. Yin, K. Yoshihara, C. Z. Yuan, J. Yuan, L. Zani, F. Zeng, Boyang Zhang, V. Zhilich, Q. Zhou, L. Zhu, R. Žlebčík
Bibliographic record
VenuePhysical review. D/Physical review. D. · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersH2020 European Research CouncilAgencia Estatal de InvestigaciónAkademi Sains MalaysiaJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaSeventh Framework ProgrammeMinistry of Science and Higher Education of the Russian FederationNational Key Research and Development Program of ChinaMinistry of Culture and SportKnut och Alice Wallenbergs StiftelseDepartment of Atomic Energy, Government of IndiaMinistry of Education, Culture, Sports, Science and TechnologyKorea Institute of Science and Technology InformationAustrian Science FundHelmholtz-GemeinschaftThailand Center of Excellence in PhysicsUnited States-Israel Binational Science FoundationGeneralitat ValencianaNational Research Foundation of KoreaKing Saud UniversityMinistry of Higher Education, MalaysiaNational Natural Science Foundation of ChinaAgence Nationale de la RechercheGrantová Agentura České RepublikyUniversiti MalayaDepartment of Science and Technology, Ministry of Science and Technology, IndiaIsrael Science FoundationCanada Foundation for InnovationDeutsche ForschungsgemeinschaftAlliance de recherche numérique du CanadaMax-Planck-GesellschaftNational Research Foundation of UkraineBundesministerium für Bildung, Wissenschaft und ForschungMinistry of Education and Science of UkraineVietnam Academy of Science and TechnologyAlexander von Humboldt-StiftungNatural Science Foundation of Shandong ProvinceUniversity of TabukIstituto Nazionale di Fisica Nucleare Sezione di PadovaUniverzita Karlova v PrazeIkerbasque, Basque Foundation for ScienceNational Science and Technology Council
KeywordsBranching fractionHadronBranching (polymer chemistry)DetectorMesonElectron–positron annihilation
Abstract
We present a measurement of the branching fraction of B+→τ+ντ decays using 387±6×106 ϒ(4S) collected between 2019 and 2022 with the Belle II detector at the SuperKEKB e+e− collider. We reconstruct the accompanying B− meson using the hadronic tagging method, while B+→τ+ντ candidates are identified in the recoil. We find evidence for B+→τ+ντ decays at 3.0 standard deviations, including systematic uncertainties. The measured branching fraction is B(B+→τ+ντ)=[1.24±0.41(stat)±0.19(syst)]×10−4 .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.088
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.018
GPT teacher head0.311
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations4
Published2025
Admission routes1
Has abstractyes