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Determination of the CKM angle $ϕ_{3}$ from a combination of Belle and Belle II results
I. Adachi, L. Aggarwal, H. Aihara, Н. Акопов, A. Aloisio, D. M. Asner, H. Atmacan, V. Aushev, M. Aversano, R. Ayad, V. Babu, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. V. Bennett, K. Belous, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, L. Bierwirth, T. Bilka, S. Bilokin, D. Biswas, A. Bobrov, D. Bodrov, A. E. Bolz, A. Bondar, A. Bożek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, P. Chang, R. Cheaib, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, K. Cho, Y. Choi, S. Choudhury, L. Corona, S. Das, F. Dattola, E. De La Cruz–Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, T. V. Dong, M. Dorigo, K. Dort, D. Dossett, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. B. Garg, G. Gaudino, V. Gaur, A. Gaz, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, T. Grammatico, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, Y. L. Han, T. Hara, H. Hayashii, S. Hazra, M. T. Hedges, A. Heidelbach, I. Heredia-De La Cruz, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, T. Humair, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, Q. P. Ji, S. Jia, Y. Jin, H. Junkerkalefeld, D. Kalita, J. Kandra, T. Kawasaki, F. Keil, C. Kiesling, D. Y. Kim, C. -H. Kim, H. Kindo, K. Kinoshita, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, J. Kumar, M. Kumar, Rajesh Kumar, K. Kumara, T. Kunigo, A. Kuzmin, S. Lacaprara, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, M. J. Lee, D. Levit, P. Lewis, C. Li, L. K. Li, Y. Li, Y. B. Li, J. Libby, M. H. Liu, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Yue Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Mariñas, L. Martel, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, C. Miller, M. Mirra, K. Miyabayashi, H. Miyake, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, M. Mrvar, R. Mussa, I. Nakamura, K. R. Nakamura, M. Nakao, Y. Nakazawa, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, Mary P. Neu, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, P. Oskin, F. Otani, P. Pakhlov, G. Pakhlova, A. Panta, S. Pardi, K. Parham, H. Park, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, M. Röhrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, L. Šantelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, G. Schnell, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, X. Shi, T. Shillington, T. Shimasaki, D. Shtol, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. Sobie, M. Sobotzik, A. Soffer, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, M. Sumihama, H. Svidras, W. Sutcliffe, N. Suwonjandee, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, Y. Uematsu, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, E. Wang, X. L. Wang, 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, B. Zhang, Y. Zhang, V. Zhilich, Q. Zhou, V. Zhukova
Bibliographic record
VenuearXiv (Cornell University) · 2024
Typepreprint
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsnot available
FundersPacific Northwest National LaboratoryInstitut National de Physique Nucléaire et de Physique des ParticulesAkademi Sains MalaysiaJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaKorea Research Environment Open NetworkCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalIstituto Nazionale di Fisica NucleareMinistry of Science and Higher Education of the Russian FederationBundesministerium für Bildung, Wissenschaft und ForschungMinistry of Education and Science of UkraineNational Research University Higher School of EconomicsMinisterio de Ciencia e InnovaciónCentre National de la Recherche ScientifiqueNational Research Foundation of UkraineMax-Planck-GesellschaftNational Science and Technology CouncilIkerbasque, Basque Foundation for ScienceMinistry of Education, Culture, Sports, Science and TechnologyKorea Institute of Science and Technology InformationDeutsches Elektronen-SynchrotronThailand Center of Excellence in PhysicsGeneralitat ValencianaNational Research FoundationAustrian Science FundU.S. Department of EnergyNational Natural Science Foundation of ChinaJavna Agencija za Raziskovalno Dejavnost RSSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDeutsche ForschungsgemeinschaftGrantová Agentura České RepublikyNational Science FoundationNatural Science Foundation of Shandong ProvinceUniversity of TabukCompute CanadaKorea Institute of Science and TechnologyBundesministerium für Bildung und ForschungCanarieAlexander von Humboldt-StiftungTürkiye Bilimsel ve Teknolojik Araştırma KurumuAgence Nationale de la Recherche
KeywordsParticle physicsPhysics
Abstract
We report a determination of the CKM angle $ϕ_{3}$, also known as $γ$, from a combination of measurements using samples of up to 711~fb$^{-1}$ from the Belle experiment and up to 362~fb$^{-1}$ from the Belle II experiment. We combine results from analyses of $B^+\to DK^+, B^+\to Dπ^+$, and $B^+ \to D^{*}K^+$ decays, where $D$ is an admixture of $D^0$ and $\overline{D}{}^{0}$ mesons, in a likelihood fit to obtain $ϕ_{3} = (78.6^{+7.2}_{-7.3})^{\circ}$. We also briefly discuss the interpretation of this result.
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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.033
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 head0.044
GPT teacher head0.169
Teacher spread0.124 · 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 designObservational
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
Citations1
Published2024
Admission routes1
Has abstractyes