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2019· article· lv· W2970421621 on OpenAlexafffund
J. P. Lees, V. Poireau, V. Tisserand, E. Graugés, A. Palano, G. Eigen, D. N. Brown, Yu. G. Kolomensky, M. Fritsch, H. Koch, T. Vazquez Schroeder, C. Hearty, T. S. Mattison, J. A. McKenna, R. Y. So, V. E. Blinov, А. Р. Бузыкаев, V. P. Druzhinin, V. B. Golubev, E. A. Kozyrev, E. A. Kravchenko, A. P. Onuchin, S. I. Serednyakov, Yu. I. Skovpen, E. P. Solodov, K. Yu. Todyshev, A. J. Lankford, B. Dey, J. W. Gary, O. R. Long, A. M. Eisner, W. S. Lockman, J. G. Panduro Vazquez, D. S. Chao, C. H. Cheng, B. Echenard, K. T. Flood, D. G. Hitlin, J. Kim, Y. Li, T. S. Miyashita, P. Ongmongkolkul, F. C. Porter, M. Röhrken, Z. Huard, B. Meadows, B. G. Pushpawela, M. D. Sokoloff, L. Sun, J. G. Smith, S. R. Wagner, D. Bernard, M. Verderi, D. Bettoni, C. Bozzi, R. Calabrese, G. Cibinetto, E. Fioravanti, I. Garzia, E. Luppi, V. Santoro, A. Calcaterra, R. de Sangro, G. Finocchiaro, S. Martellotti, P. Patteri, I. M. Peruzzi, M. Piccolo, M. Rotondo, A. Zallo, C. Patrignani, H. M. Lacker, B. Bhuyan, U. Mallik, C. Chen, J. Cochran, S. Prell, A. V. Gritsan, N. Arnaud, M. Davier, F. Le Diberder, A. M. Lutz, G. Wormser, D. Lange, D. M. Wright, J. P. Coleman, E. Gabathuler, D. Hutchcroft, D. J. Payne, C. Touramanis, A. J. Bevan, F. Di Lodovico, R. Sacco, G. A. Cowan, Sw. Banerjee, C. L. Davis, A. G. Denig, W. Gradl, K. Grießinger, A. Hafner, K. R. Schubert, R. J. Barlow, G. Lafferty, R. Cenci, A. Jawahery, D. A. Roberts, R. Cowan, S. H. Robertson, R. M. Seddon, N. Néri, F. Palombo, R. Cheaib, L. Cremaldi, R. Godang, D. J. Summers, P. Taras, G. De Nardo, C. Sciacca, G. Raven, C. P. Jessop, J. M. LoSecco, K. Honscheid, R. Kass, A. Gaz, M. Margoni, M. Posocco, G. Simi, F. Simonetto, R. Stroili, S. Akar, E. Ben-Haim, M. Bomben, G. R. Bonneaud, G. Calderini, J. Chauveau, G. Marchiori, J. Ocariz, M. Biasini, E. Manoni, A. Rossi, G. Batignani, S. Bettarini, M. Carpinelli, G. Casarosa, M. Chrząszcz, F. Forti, M. A. Giorgi, A. Lusiani, B. Oberhof, E. Paoloni, M. Rama, G. Rizzo, J. Walsh, L. Zani, A. Smith, F. Anulli, R. Faccini, F. Ferrarotto, F. Ferroni, A. Pilloni, G. Piredda, C. Bünger, S. Dittrich, O. Grünberg, M. Heß, T. Leddig, C. Voß, R. Waldi, T. Adye, F. F. Wilson, S. Emery, G. Vasseur, D. Aston, C. Cartaro, M. R. Convery, J. Dorfan, W. Dunwoodie, M. Ebert, R. C. Field, B. G. Fulsom, M. T. Graham, C. Hast, W. R. Innes, P. Kim, D. W. G. S. Leith, S. Luitz, D. B. MacFarlane, D. R. Muller, H. A. Neal, B. N. Ratcliff, A. Roodman, M. K. Sullivan, J. Va’vra, W. J. Wisniewski, M. V. Purohit, J. R. Wilson, A. Randle-Conde, S. J. Sekula, H. Ahmed, M. Bellis, P. R. Burchat, E. M. T. Puccio, M. S. Alam, J. A. Ernst, R. Gorodeisky, N. Guttman, D. R. Peimer, A. Soffer, S. M. Spanier, J. L. Ritchie, R. F. Schwitters, J. M. Izen, F. Bianchi, F. De Mori, A. Filippi, D. Gamba, L. Lanceri, L. Vitale, F. Martinez-Vidal, J. Albert, A. Beaulieu, F. U. Bernlochner, G. J. King, R. Kowalewski, T. Lueck, I. M. Nugent, J. M. Roney, R. J. Sobie, N. Tasneem, T. J. Gershon, P. F. Harrison, T. Latham, R. Prepost, S. L. Wu

Bibliographic record

VenuePhysical Review Letters · 2019
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsSt. Francis Xavier UniversityUniversité de MontréalInstitute of Particle PhysicsUniversity of VictoriaMcGill UniversityUniversity of British Columbia
FundersSLAC National Accelerator LaboratoryInstitut National de Physique Nucléaire et de Physique des ParticulesInstituto Nazionale di Fisica NucleareScience and Technology Facilities CouncilMinisterio de Economía y CompetitividadCommissariat à l'Énergie Atomique et aux Énergies AlternativesCentre National de la Recherche ScientifiqueBundesministerium für Bildung und ForschungU.S. Department of EnergyEuropean CommissionUnited States - Israel Binational Science FoundationStichting voor Fundamenteel Onderzoek der MaterieDeutsche ForschungsgemeinschaftNatural Sciences and Engineering Research Council of CanadaAlfred P. Sloan FoundationNational Science Foundation
KeywordsPhysicsParticle physicsHadronBranching fractionLeptonSemileptonic decayNeutrinoPhysics beyond the Standard ModelNuclear physicsElectron

Abstract

fetched live from OpenAlex

An angular analysis of the decay $\overline{B}\ensuremath{\rightarrow}{D}^{*}{\ensuremath{\ell}}^{\ensuremath{-}}{\overline{\ensuremath{\nu}}}_{\ensuremath{\ell}}$, $\ensuremath{\ell}\ensuremath{\in}{e,\ensuremath{\mu}}$, is reported using the full ${e}^{+}{e}^{\ensuremath{-}}$ collision data set collected by the BABAR experiment at the $\mathrm{\ensuremath{\Upsilon}}(4S)$ resonance. One $B$ meson from the $\mathrm{\ensuremath{\Upsilon}}(4S)\ensuremath{\rightarrow}B\overline{B}$ decay is fully reconstructed in a hadronic decay mode, which constrains the kinematics and provides a determination of the neutrino momentum vector. The kinematics of the semileptonic decay is described by the dilepton mass squared, ${q}^{2}$, and three angles. The first unbinned fit to the full four-dimensional decay rate in the standard model is performed in the so-called Boyd-Grinstein-Lebed approach, which employs a generic ${q}^{2}$ parametrization of the underlying form factors based on crossing symmetry, analyticity, and QCD dispersion relations for the amplitudes. A fit using the more model-dependent Caprini-Lellouch-Neubert (CLN) approach is performed as well. Our form factor shapes show deviations from previous fits based on the CLN parametrization. The latest form factors also provide an updated prediction for the branching fraction ratio $\mathcal{R}({D}^{*})\ensuremath{\equiv}\mathcal{B}(\overline{B}\ensuremath{\rightarrow}{D}^{*}{\ensuremath{\tau}}^{\ensuremath{-}}{\overline{\ensuremath{\nu}}}_{\ensuremath{\tau}})/\mathcal{B}(\overline{B}\ensuremath{\rightarrow}{D}^{*}{\ensuremath{\ell}}^{\ensuremath{-}}{\overline{\ensuremath{\nu}}}_{\ensuremath{\ell}})=0.253\ifmmode\pm\else\textpm\fi{}0.005$. Finally, using the well-measured branching fraction for the $\overline{B}\ensuremath{\rightarrow}{D}^{*}{\ensuremath{\ell}}^{\ensuremath{-}}{\overline{\ensuremath{\nu}}}_{\ensuremath{\ell}}$ decay, a value of $|{V}_{cb}|=(38.36\ifmmode\pm\else\textpm\fi{}0.90)\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}3}$ is obtained that is consistent with the current world average for exclusive $\overline{B}\ensuremath{\rightarrow}{D}^{(*)}{\ensuremath{\ell}}^{\ensuremath{-}}{\overline{\ensuremath{\nu}}}_{\ensuremath{\ell}}$ decays and remains in tension with the determination from inclusive semileptonic $B$ decays to final states with charm.

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)0.001
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0640.042

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 head0.258
Teacher spread0.239 · 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 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".

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Citations51
Published2019
Admission routes2
Has abstractyes

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