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Measurement of the branching fraction of the decay <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>D</mml:mi><mml:mn>0</mml:mn></mml:msup><mml:mi>ρ</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mn>770</mml:mn><mml:msup><mml:mo stretchy="false">)</mml:mo><mml:mo>−</mml:mo></mml:msup></mml:math> at Belle II
I. Adachi, L. Aggarwal, H. Aihara, Н. Акопов, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. V. Bennett, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, F. Bianchi, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. E. Bolz, A. Bondar, A. Boschetti, 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. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, K. Cho, S. -J. Cho, S. Choudhury, L. Corona, J. X. Cui, 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, S. Dey, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dorner, K. Dort, D. Dossett, S. Dreyer, S. Dubey, K. Dugic, G. Dujany, P. Ecker, M. Eliachevitch, P. Feichtinger, T. Ferber, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, S. Granderath, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, K. Gudkova, S. Halder, T. Hara, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia-De La Cruz, M. Hernández Villanueva, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, T. Humair, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, W. W. Jacobs, D. E. Jaffe, S. Jia, Y. Jin, H. Junkerkalefeld, D. Kalita, J. Kandra, S. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Kiesling, D. Y. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, T. Konno, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, Y. Kulii, J. Kumar, M. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, S. Lacaprara, K. Lalwani, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, R. Leboucher, M. J. Lee, C. Lemettais, D. Levit, P. Lewis, L. K. Li, Y. Li, Y. B. Li, J. Libby, Z. Liptak, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Yue Ma, M. Maggiora, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Mariñas, C. Martellini, A. Martens, T. Martinov, L. Massaccesi, M. Masuda, D. Matvienko, S. K. Maurya, F. Mawas, J. A. McKenna, R. Mehta, F. Meier, M. Merola, C. Miller, M. Mirra, G. B. Mohanty, S. Mondal, S. Moneta, M. Mrvar, R. Mussa, I. Nakamura, M. Nakao, Y. Nakazawa, A. Narimani Charan, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, Mary P. Neu, M. Niiyama, S. Nishida, A. Novosel, S. Ogawa, Y. Onishchuk, H. Ono, G. Pakhlova, S. Pardi, K. Parham, H. Park, B. Paschen, A. Passeri, S. Patra, 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, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, I. Ripp-Baudot, G. Rizzo, M. Röhrken, J. M. Roney, A. Rostomyan, N. Rout, D. A. Sanders, S. Sandilya, L. Šantelj, Y. Sato, V. Savinov, B. Scavino, M. Schnepf, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. P. Shen, X. Shi, T. Shillington, D. Shtol, B. Shwartz, 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, P. Stavroulakis, S. Stefkova, R. Stroili, K. Sumisawa, W. Sutcliffe, N. Suwonjandee, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, I. Ueda, K. Unger, Y. Unno, K. Uno, S. Uno, S. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, O. Werbycka, C. Wessel, X. P. Xu, B. Yabsley, S. Yamada, W. B. Yan, S. B. Yang, J. H. Yin, K. Yoshihara, C. Z. Yuan, Y. Yusa, L. Zani, F. Zeng, B. Zhang, Y. Zhang, V. Zhilich, Q. Zhou, V. Zhukova, R. Žlebčík
Bibliographic record
VenuePhysical review. D/Physical review. D. · 2024
Typepreprint
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalAkademi Sains MalaysiaInstituto Nazionale di Fisica NucleareJapan Society for the Promotion of ScienceDeutsches Elektronen-SynchrotronBrookhaven National LaboratoryMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueEuropean Research CouncilMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungNatural Sciences and Engineering Research Council of CanadaKorea Research Environment Open NetworkAustralian Research CouncilMinisterstwo ZdrowiaKorea Institute of Science and TechnologyMinistry of Culture and SportHORIZON EUROPE Marie Sklodowska-Curie ActionsNational Research University Higher School of EconomicsNational Research FoundationJavna Agencija za Raziskovalno Dejavnost RSNational Key Research and Development Program of ChinaIsrael Science FoundationNational Natural Science Foundation of ChinaNational Research Foundation of KoreaU.S. Department of EnergyAlexander von Humboldt-StiftungKorea Institute of Science and Technology InformationDepartment of Atomic Energy, Government of IndiaTürkiye Bilimsel ve Teknolojik Araştırma KurumuAgence Nationale de la RechercheGrantová Agentura České RepublikyAustrian Science FundBundesministerium für Bildung, Wissenschaft und ForschungDeutsche ForschungsgemeinschaftNational Research Foundation of UkraineGeneralitat ValencianaThailand Center of Excellence in PhysicsHelmholtz-GemeinschaftIstituto Nazionale di Fisica Nucleare Sezione di PadovaIstituto Nazionale di Fisica NucleareUniversiti MalayaDepartment of Science and Technology, Ministry of Science and Technology, IndiaNatural Science Foundation of Shandong ProvinceCompute CanadaUniversity of TabukMinistry of Education and Science of UkraineVietnam Academy of Science and TechnologyMinistry of Science and Higher Education of the Russian FederationAgencia Estatal de InvestigaciónUnited States - Israel Binational Agricultural Research and Development FundMinistry of Education and ScienceCanarieNational Science and Technology CouncilUniversity of VictoriaNational Science Foundation
KeywordsBranching (polymer chemistry)Branching fractionPhysicsFraction (chemistry)Particle physicsNuclear physicsCombinatoricsMathematicsChemistryChromatography
Abstract
We measure the branching fraction of the decay B−→D0ρ(770)− using data collected with the Belle II detector. The data contain 387 million BB¯ pairs produced in e+e− collisions at the ϒ(4S) resonance. We reconstruct 8360±180 decays from an analysis of the distributions of the B− energy and the ρ(770)− helicity angle. We determine the branching fraction to be (0.939±0.021(stat)±0.050(syst))% , in agreement with previous results. Our measurement improves the relative precision of the world average by more than a factor of two. Published by the American Physical Society 2024
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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.117
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.007 |
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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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
Citations2
Published2024
Admission routes1
Has abstractyes