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Record W4416590639 · doi:10.1103/pr66-sd36

Model-agnostic likelihood for the reinterpretation of the B + → K + v v measurement at Belle II

2025· article· en· W4416590639 on OpenAlexfundno aff
M. Abumusabh, I. Adachi, L. Aggarwal, H. Ahmed, Y. H. Ahn, Н. Акопов, S. A. Al‐Ghamdi, M. Alhakami, A. Aloisio, N. Althubiti, K. R. Amos, N. Anh Ky, D. M. Asner, H. Atmacan, R. Ayad, V. Babu, H. Bae, N. K. Baghel, P. Bambade, S. Banerjee, M. Barrett, M. Bartl, J. Baudot, A. Baur, A. Beaubien, F. Becherer, Jürgen Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, V. Bhardwaj, B. Bhuyan, F. Bianchi, D. Biswas, D. Bodrov, A. Bondar, G. Bonvicini, J. Borah, A. Boschetti, A. Bożek, M. Bračko, P. Branchini, T. E. Browder, A. Budano, S. Bussino, Q. Campagna, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, M.-C. Chang, P. Cheema, L. Chen, B. G. Cheon, K. Chilikin, J. Chin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, L. Corona, J. X. Cui, E. De La Cruz–Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, J. Dingfelder, Z. Doležal, T. V. Dong, X. Dong, K. Dugic, G. Dujany, P. Ecker, R. Farkas, T. Ferber, T. Fillinger, C. Finck, G. Finocchiaro, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, A. Gale, E. Ganiev, M. Garcia-Hernandez, R. Garg, Lorenz Gärtner, G. Gaudino, V. Gaur, V. Gautam, A. Gellrich, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, P. Gironella Gironell, B. Gobbo, R. Godang, P. Goldenzweig, W. Gradl, E. Graziani, D. Greenwald, K. Gudkova, I. Haide, Y. Han, C. Harris, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, G. Heine, I. Heredia-De La Cruz, T. Higuchi, M. Hoek, M. Hohmann, R. HOPPE, P. Horak, X. T. Hou, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, P. Jackson, D. Jacobi, W. W. Jacobs, E.-J. Jang, Y. Jin, A. Johnson, K. K. Joo, M. Kaleta, J. Kandra, K. H. Kang, G. Karyan, F. Keil, C. Kiesling, C. H. Kim, D. Y. Kim, J.-Y. Kim, K.-H. Kim, H. Kindo, K. Kinoshita, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, P. Križan, P. Krokovny, T. Kuhr, Y. Kulii, J. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, K. Lalwani, T. Lam, J. S. Lange, T. S. Lau, M. Laurenza, R. Leboucher, F. Le Diberder, M. J. Lee, P. Leo, C. Li, H. J. Li, L. K. Li, Q. M. Li, W. Z. Li, Y. Li, Y. B. Li, Y. P. Liao, J. Libby, J. Lin, S. Lin, M. H. Liu, Q. Y. Liu, Zhiqing Liu, D. Liventsev, S. Longo, A. Lozar, T. Lueck, C. Lyu, Yue Ma, M. Maggiora, S. P. Maharana, 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, D. Matvienko, S. K. Maurya, M. Maushart, J. A. McKenna, Z. Gruberová, R. Mehta, F. Meier, D. Meleshko, M. Merola, C. Miller, M. Mirra, K. Miyabayashi, H. Miyake, S. Mondal, S. Moneta, A. L. Moreira De Carvalho, R. Mussa, I. Nakamura, M. Nakao, H. Nakazawa, Y. Nakazawa, Z. Natkaniec, A. Natochii, M. Nayak, M. Neu, S. Nishida, R. Okubo, H. Ono, Y. Onuki, G. Pakhlova, S. Pardi, J. Park, S.-H. Park, S. Patra, S. Paul, T. K. Pedlar, R. Pestotnik, L. E. Piilonen, P. L. M. Podesta-Lerma, T. Podobnik, C. Praz, S. Prell, E. Prencipe, M. T. Prim, S. Privalov, H. Purwar, P. Rados, G. Raeuber, S. Raiz, V P Jagathy Raj, K. Ravindran, J. U. Rehman, M. Reif, S. Reiter, D. Ricalde Herrmann, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, J. M. Roney, A. Rostomyan, N. Rout, L. Salutari, D. A. Sanders, S. Sandilya, L. Šantelj, C. Santos, V. Savinov, B. Scavino, C. Schmitt, M. Schnepf, K. Schoenning, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, X. Shi, T. Shillington, T. Shimasaki, 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, P. Stavroulakis, S. Stefkova, L. Stoetzer, R. Stroili, M. Sumihama, N. Suwonjandee, H. Svidras, M. Takizawa, S. Tanaka, S. S. Tang, K. Tanida, F. Tenchini, F. Testa, A. Thaller, O. Tittel, R. Tiwary, E. Torassa, F. F. Trantou, I. Tsaklidis, I. Ueda, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, V. S. Vismaya, L. Vitale, R. Volpe, M. Wakai, S. Wallner, M.-Z. Wang, X. L. Wang, A. Warburton, C. Wessel, B. Yabsley, S. Yamada, W. B. Yan, S. B. Yang, J. Yelton, J. H. Yin, K. Yoshihara, B. Nancy Yu, C. Z. Yuan, J. Yuan, Y. Yusa, L. Zani, F. Zeng, Boyang Zhang, V. Zhilich, J. S. Zhou, Q. Zhou, L. Zhu, R. Žlebčík

Bibliographic record

VenuePadua Research Archive (University of Padova) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersInstitut 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 FederationNational Research University Higher School of EconomicsForskningsrådet om Hälsa, Arbetsliv och VälfärdJavna Agencija za Raziskovalno Dejavnost RSKnut och Alice Wallenbergs StiftelseNational Science and Technology CouncilIkerbasque, Basque Foundation for ScienceNational Research FoundationAustrian Science FundThailand Center of Excellence in PhysicsGeneralitat ValencianaKing Saud UniversityKorea Institute of Science and TechnologyMinisterstvo Školství, Mládeže a TělovýchovyU.S. Department of EnergyNational Natural Science Foundation of ChinaKorea Institute of Science and Technology InformationMinistry of Education, Culture, Sports, Science and TechnologyDeutsche ForschungsgemeinschaftMax-Planck-GesellschaftNational Research Foundation of UkraineGrantová Agentura České RepublikyAlexander von Humboldt-StiftungBundesministerium für Bildung, Wissenschaft und ForschungMinistry of Education and Science of UkraineVietnam Academy of Science and TechnologyNatural Science Foundation of Shandong ProvinceCompute CanadaUniversity of TabukNational Science FoundationCanarieTürkiye Bilimsel ve Teknolojik Araştırma KurumuAgence Nationale de la RechercheGrantová Agentura, Univerzita KarlovaCentre National de la Recherche ScientifiqueUniverzita Karlova v PrazeMinisterio de Ciencia e InnovaciónEuropean Commission
KeywordsReinterpretationPoint (geometry)Point estimationFraction (chemistry)Maximum likelihoodCollisionBranching (polymer chemistry)

Abstract

fetched live from OpenAlex

We recently measured the branching fraction of the + +\bar decay using 362 fb1 of on-resonance + collision data under the assumption of Standard Model kinematics, providing the first evidence for this decay. To facilitate future reinterpretations and maximize the scientific impact of this measurement, we publicly release the full analysis likelihood along with all necessary material required for reinterpretation under arbitrary theoretical models sensitive to this measurement. In this work, we demonstrate how the measurement can be reinterpreted within the framework of the weak effective theory. Using a kinematic reweighting technique in combination with the published likelihood, we derive marginal posterior distributions for the Wilson coefficients, construct credible intervals, and assess the goodness of fit to the Belle II data. For the weak effective theory Wilson coefficients, the posterior mode of the magnitudes |VL+VR|, SL +SR|, and |TL| corresponds to the point (11.3, 0.0, 8.2). The respective 95% credible intervals are [1.9, 16.2], [0.0, 15.4], and [0.0, 11.2].

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 imitation

Not 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)0.021
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.021
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0050.003
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.041
GPT teacher head0.290
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

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