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Measurement of beauty production in DIS and extraction at ZEUS

2010· article· en· W2051464659 on OpenAlexafffund
H. Abramowicz, I. Abt, L. Adamczyk, M. Adamus, R. Aggarwal, S. Antonelli, P. Antonioli, А. Антонов, M. Arneodo, V. Aushev, Y. Aushev, O. Bachynska, A. Bamberger, A.N. Barakbaev, G. Barbagli, G. Bari, F. Barreiro, D. Bartsch, M. Basile, O. Behnke, J. K. Behr, U. Behrens, L. Bellagamba, A. Bertolin, S. Bhadra, M. Bindi, C. Blohm, T. Bołd, E.G. Boos, M. Borodin, K. Borras, D. Boscherini, D. Bot, S. Boutle, I. Brock, E. Brownson, R. Brugnera, N. Brümmer, A. Bruni, G. Bruni, B. Brzozowska, P. Bussey, J. M. Butterworth, B. Bylsma, A. Caldwell, M. Capua, R. Carlin, C. D. Catterall, S. Chekanov, J. J. Chwastowski, J. Ciborowski, R. Ciesielski, L. Cifarelli, F. Cindolo, A. Contin, A. M. Cooper-Sarkar, N. Coppola, M. Corradi, F. Corriveau, M. Costa, G. D’Agostini, F. Dal Corso, J. de Favereau, J. del Peso, R. K. Dementiev, S. De Pasquale, M. Derrick, R.C.E. Devenish, D. Dobur, B. A. Dolgoshein, A. T. Doyle, V. Drugakov, L. S. Durkin, S. Dusini, Y. Eisenberg, P. Ermolov, A. Eskreys, S. Fang, S. Fazio, J. Ferrando, M.I. Ferrero, J. Figiel, M. Forrest, B. Foster, S. Fourletov, G. P. Gach, A. Galas, E. Gallo, A. Garfagnini, A. Geiser, I. Gialas, L. K. Gladilin, D. Gladkov, C. Glasman, O. Gogota, Yu. A. Golubkov, P. Göttlicher, I. Grabowska-Bołd, J. Grebenyuk, I. M. Gregor, G. Grigorescu, G. Grzelak, C. Gwenlan, T. Haas, W. Hain, R. Hamatsu, J.C. Hart, H. Hartmann, G. Hartner, E. Hilger, D. Hochman, U. Holm, R. Hori, K. Horton, A. Hüttmann, G. Iacobucci, Z. A. Ibrahim, Y. Iga, R. Ingbir, M. Ishitsuka, H.‐P. Jakob, F. Januschek, M. Jiménez, T. W. Jones, M. Jüngst, І. Каденко, B. Kahle, B. Kamaluddin, S. Kananov, T. Kanno, U. Karshon, F. Karstens, I.I. Katkov, M. Kaur, P. Kaur, A. Keramidas, L. A. Khein, J.Y. Kim, D. Kisielewska, S. Kitamura, R. Klanner, U. Klein, E. Koffeman, D. Kollár, P. Kooijman, Ie. Korol, I. A. Korzhavina, A. Kotański, U. Kötz, H. Kowalski, P. Kulinski, Oleg Kuprash, M. Kuze, V. A. Kuzmin, A. Lee, B. B. Levchenko, A. Levy, V. Libov, S. Limentani, T. Y. Ling, M. Lisovyi, E. Lobodzinska, W. Lohmann, B. Löhr, E. Lohrmann, J.H. Loizides, K. Long, A. Longhin, D. Lontkovskyi, O.Yu. Lukina, P. Łużniak, J. Maeda, S. Magill, I. Makarenko, J. Malka, R. Mankel, A. Margotti, G. Marini, A. Mastroberardino, T. Matsumoto, M.C.K. Mattingly, I.-A. Melzer-Pellmann, S. Miglioranzi, F. Mohamad Idris, V. Monaco, A. Montanari, J. D. Morris, B. Musgrave, K. Nagano, T. Namsoo, R. Nania, D. Nicholass, A. Nigro, Ning Ye, U. Noor, D. Notz, R.J. Nowak, A.-E. Nuncio-Quiroz, B.Y. Oh, N. Okazaki, K. Oliver, K. Olkiewicz, Y. Onishchuk, O. Ota, K. Papageorgiu, A. Parenti, E. Paul, J. M. Pawlak, B. Pawlik, P.G. Pelfer, A. Pellegrino, W. Perlański, H. Perrey, K. Piotrzkowski, P. Pluciński, N.S. Pokrovskiy, A. Polini, A.S. Proskuryakov, M. Przybycień, A. Raval, D. D. Reeder, B. Reisert, Z. Ren, J. Repond, Y.D. Ri, A. Robertson, P. Roloff, E. Ron, I. Rubinsky, M. Ruspa, R. Sacchi, A. Salii, U. Samson, G. Sartorelli, A. A. Savin, D. H. Saxon, M. Schioppa, S. Schlenstedt, P. Schleper, W. B. Schmidke, U. Schneekloth, V. Schönberg, T. Schörner-Sadenius, J. Schwartz, F. Sciulli, L.M. Shcheglova, R. Shehzadi, S. Shimizu, I. Singh, I. O. Skillicorn, W. Słomiński, W. H. Smith, V. Sola, A. Solano, D. Son, V. Sosnovtsev, A. Spiridonov, H. Stadie, L. Stanco, A. Stern, T. P. Stewart, A. Stifutkin, P. Stopa, S. Suchkov, G. Susinno, L. Suszycki, J. Sztuk, D. Szuba, J. Szuba, A. Tapper, E. ̃Tassi, J. Terrón, T. Theedt, H. Tiecke, K. Tokushuku, Oleksandr Tomalak, J. Tomaszewska, T. Tsurugai, M. Turcato, T. Tymieniecka, C. Uribe-Estrada, A. Verbytskyi, V. Viazlo, N. Vlasov, O. Volynets, R. Walczak, W. A. T. Wan Abdullah, J.J. Whitmore, J. Whyte, L. Wiggers, M. Wing, M. Wlasenko, G. Wolf, H. Wolfe, K. Wrona, A. G. Yagües-Molina, S. Yamada, Y. Yamazaki, R. Yoshida, C. Youngman, A. F. Żarnecki, L. Zawiejski, O. Zenaiev, Wolfram Dietrich Zeuner, B.O. Zhautykov, N. Zhmak, C. Zhou, A. Zichichi, M. Zolko, D. S. Zotkin, Z. Zulkapli

Bibliographic record

VenueThe European Physical Journal C · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityUniversity of TorontoYork University
FundersNuclear PhysicsNatural Sciences and Engineering Research Council of CanadaFonds De La Recherche Scientifique - FNRSKorea Science and Engineering FoundationFonds pour la Formation à la Recherche dans l’Industrie et dans l’AgricultureBelgian Federal Science Policy OfficeDeutsches Elektronen-SynchrotronNational Natural Science Foundation of ChinaBundesministerium für Bildung und ForschungScience and Technology Facilities CouncilStrongU.S. Department of EnergyRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsHERAPhysicsZEUS (particle detector)Deep inelastic scatteringParticle physicsMuonNuclear physicsQuarkJet (fluid)BeautyPartonQuantum chromodynamicsScatteringInelastic scatteringOptics

Abstract

fetched live from OpenAlex

Beauty production in deep inelastic scattering with events in which a muon and a jet are observed in the final state has been measured with the ZEUS detector at HERA using an integrated luminosity of 114 pb−1. The fraction of events with beauty quarks in the data was determined using the distribution of the transverse momentum of the muon relative to the jet. The cross section for beauty production was measured in the kinematic range of photon virtuality, Q 2>2 GeV2, and inelasticity, 0.05<y<0.7, with the requirement of a muon and a jet. Total and differential cross sections are presented and compared to QCD predictions. The beauty contribution to the structure function F 2 was extracted and is compared to theoretical predictions.

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)0.002
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.264
Teacher spread0.246 · 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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Citations26
Published2010
Admission routes2
Has abstractyes

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Same venueThe European Physical Journal CSame topicParticle physics theoretical and experimental studiesFrench-language works237,207