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Precise Measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mi>s</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math> Lifetime at Belle II

2023· article· lv· W4388272081 on OpenAlexfundno aff
I. Adachi, L. Aggarwal, H. Aihara, Н. Акопов, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, M. Barrett, J. Baudot, M. Bauer, A. Baur, A. Beaubien, J. Becker, P. K. Behera, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, T. Bilka, D. Biswas, D. Bodrov, 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, M.-C. Chang, P. Chang, P. Cheema, V. Chekelian, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-K. Choi, S. Choudhury, J. Cochran, L. Corona, S. Das, F. Dattola, 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, K. Dort, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, D. Epifanov, P. Feichtinger, D. Ferlewicz, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, A. Garmash, 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, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, Y. Han, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, I. Heredia-De La Cruz, A. D. Hershenhorn, T. Higuchi, E. Hill, M. Hoek, M. Hohmann, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, S. Ito, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, D. E. Jaffe, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, H. Junkerkalefeld, A. B. Kaliyar, J. Kandra, G. Karyan, T. Kawasaki, F. Keil, C. Ketter, C. Kiesling, C. H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, J. Kumar, M. Kumar, R. Kumar, K. Kumara, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, T. Lam, J. S. Lange, M. Laurenza, R. Leboucher, F. Le Diberder, P. Leitl, D. Levit, P. Lewis, L. K. Li, J. Libby, Q. Y. Liu, Zhiqing Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Yue Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Mariñas, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, T. Matsuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, M. Mirra, K. Miyabayashi, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, Y. Nakazawa, A. Narimani Charan, M. Naruki, Z. Natkaniec, A. Natochii, L. Nayak, G. Nazaryan, S. Nishida, H. Ono, F. Otani, E. R. Oxford, P. Pakhlov, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, S. Pardi, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, I. M. Peruzzi, R. Peschke, R. Pestotnik, F. Pham, M. Piccolo, L. E. Piilonen, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, P. Rados, G. Raeuber, S. Raiz, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, S. Sandilya, A. Sangal, L. Šantelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, C. Schwanda, A. J. Schwartz, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, X. Shi, T. Shillington, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, R. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, Z. S. Stottler, R. Stroili, M. Sumihama, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, O. Tittel, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, 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, B. Wach, S. Wallner, E. Wang, M.-Z. Wang, X. L. Wang, Z. Wang, A. Warburton, M. Watanabe, C. Wessel, E. Won, X. P. Xu, B. Yabsley, S. Yamada, W. B. Yan, S. B. Yang, K. Yoshihara, C. Z. Yuan, Y. Yusa, Y. Zhang, V. Zhilich, J. S. Zhou, Q. Zhou, V. Zhukova, R. Žlebčík

Bibliographic record

VenuePhysical Review Letters · 2023
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersH2020 European Research CouncilHigh Energy PhysicsInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalJapan Society for the Promotion of ScienceBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyNatural Sciences and Engineering Research Council of CanadaSeventh Framework ProgrammeOffice of ScienceKorea Research Environment Open NetworkMinistry of Science and Higher Education of the Russian FederationAustralian Research CouncilKorea Institute of Science and TechnologyMinistry of Culture and SportHORIZON EUROPE Marie Sklodowska-Curie ActionsNational Research University Higher School of EconomicsTürkiye Bilimsel ve Teknolojik Araştırma KurumuNational Research FoundationJavna Agencija za Raziskovalno Dejavnost RSNational Key Research and Development Program of ChinaIsrael Science FoundationNational Natural Science Foundation of ChinaNational Research Foundation of KoreaMinistry of Education and Science of the Russian FederationU.S. Department of EnergyAlexander von Humboldt-StiftungKorea Institute of Science and Technology InformationAkademi Sains MalaysiaMinistry of Science and Technology of the People's Republic of ChinaDepartment of Atomic Energy, Government of IndiaMinisterstvo Školství, Mládeže a TělovýchovyDeutsches Elektronen-SynchrotronGeneralitat ValencianaHelmholtz-GemeinschaftThailand Center of Excellence in PhysicsUnited States-Israel Binational Science FoundationHealth and Safety ExecutiveBundesministerium für Bildung, Wissenschaft und ForschungDeutsche ForschungsgemeinschaftMax-Planck-GesellschaftNational Research Foundation of UkraineNational Institute of InformaticsGrantová Agentura České RepublikyIstituto Nazionale di Fisica NucleareDepartment of Science and Technology, Ministry of Science and Technology, IndiaUniverzita Karlova v PrazeMinistry of Education and Science of UkraineVietnam Academy of Science and TechnologyNatural Science Foundation of Shandong ProvinceCompute CanadaUniversity of TabukNational Science FoundationCanarieIstituto Nazionale di Fisica Nucleare Sezione di Padova
KeywordsColliderPhysicsMeasure (data warehouse)Distribution (mathematics)Sample (material)Particle physicsComputer scienceData miningMathematicsThermodynamicsMathematical analysis

Abstract

fetched live from OpenAlex

We measure the lifetime of the ${D}_{s}^{+}$ meson using a data sample of $207\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ collected by the Belle II experiment running at the SuperKEKB asymmetric-energy ${e}^{+}{e}^{\ensuremath{-}}$ collider. The lifetime is determined by fitting the decay-time distribution of a sample of $116\ifmmode\times\else\texttimes\fi{}{10}^{3}$ ${D}_{s}^{+}\ensuremath{\rightarrow}\ensuremath{\phi}{\ensuremath{\pi}}^{+}$ decays. Our result is ${\ensuremath{\tau}}_{{D}_{s}^{+}}=(499.5\ifmmode\pm\else\textpm\fi{}1.7\ifmmode\pm\else\textpm\fi{}0.9)\text{ }\text{ }\mathrm{fs}$, where the first uncertainty is statistical and the second is systematic. This result is significantly more precise than previous measurements.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0110.006

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 head0.021
GPT teacher head0.254
Teacher spread0.233 · 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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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Same venuePhysical Review Letters→Same topicParticle physics theoretical and experimental studies→French-language works237,207→