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Record W1970170456 · doi:10.1007/jhep09(2013)058

Measurement of charm fragmentation fractions in photoproduction at HERA

2013· article· en· W1970170456 on OpenAlexaff
H. Abramowicz, I. Abt, L. Adamczyk, M. Adamus, R. Aggarwal, S. Antonelli, P. Antonioli, A. Antonov, M. Arneodo, O. Arslan, V. Aushev, Y. Aushev, O. Bachynska, A. Bamberger, A.N. Barakbaev, G. Barbagli, G. Bari, F. Barreiro, N. Bartosik, D. Bartsch, M. Basile, O. Behnke, J. K. Behr, U. Behrens, L. Bellagamba, A. Bertolin, S. Bhadra, M. Bindi, C. Blohm, V. Bokhonov, T. Bołd, E.G. Boos, K. Borras, D. Boscherini, D. Bot, I. Brock, E. Brownson, R. Brugnera, N. Brümmer, A. Bruni, G. Bruni, B. Brzozowska, P. Bussey, 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. del Peso, R. K. Dementiev, S. De Pasquale, M. Derrick, R.C.E. Devenish, D. Dobur, B. A. Dolgoshein, G. Dolinska, 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, B. Foster, G. P. Gach, A. Galas, E. Gallo, A. Garfagnini, A. Geiser, I. Gialas, A. Gizhko, L. K. Gladilin, D. Gladkov, C. Glasman, O. Gogota, Yu. A. Golubkov, P. Göttlicher, I. Grabowska-Bołd, J. Grebenyuk, Ingrid Gregor, G. Grigorescu, G. Grzelak, O. Gueta, M. P. Guzik, C. Gwenlan, T. Haas, W. Hain, R. Hamatsu, J.C. Hart, H. Hartmann, G.F. Hartner, E. Hilger, D. Hochman, R. Hori, A. Hüttmann, Z. A. Ibrahim, Y. Iga, R. Ingbir, M. Ishitsuka, A. Iudin, H.‐P. Jakob, F. Januschek, T.W. Jones, M. Jüngst, І. Каденко, B. Kahle, 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, N. Kondrashova, O. Kononenko, P. Kooijman, Ie. Korol, I. A. Korzhavina, A. Kotański, U. Kötz, N. Kovalchuk, H. Kowalski, Oleg Kuprash, M. Kuze, A. Lee, B. B. Levchenko, A. Levy, V. Libov, S. Limentani, T. Y. Ling, M. Lisovyi, E. Lobodzinska, W. Lohmann, B. Löhr, E. Lohrmann, K. Long, A. Longhin, D. Lontkovskyi, O.Yu. Lukina, J. Maeda, S. Magill, I. Makarenko, J. Malka, R. Mankel, A. Margotti, G. Marini, J. Martin, A. Mastroberardino, M.C.K. Mattingly, I.-A. Melzer-Pellmann, S. Mergelmeyer, S. Miglioranzi, F. Mohamad Idris, V. Monaco, A. Montanari, J. D. Morris, K. Mujkic, B. Musgrave, V. Myronenko, K. Nagano, T. Namsoo, R. Nania, A. Nigro, Ning Ye, T. Nobe, D. Notz, R.J. Nowak, A.-E. Nuncio-Quiroz, B.Y. Oh, N. Okazaki, K. Olkiewicz, Y. Onishchuk, K. Papageorgiu, A. Parenti, E. Paul, J. M. Pawlak, B. Pawlik, P.G. Pelfer, A. Pellegrino, W. Perlański, H. Perrey, K. Piotrzkowski, P. Plucinski, N.S. Pokrovskiy, A. Polini, A.S. Proskuryakov, M. Przybycień, A. Raval, D. D. Reeder, B. Reisert, Z.L. Ren, J. Repond, Y.D. Ri, A. Robertson, P. Roloff, I. Rubinsky, M. Ruspa, R. Sacchi, U. Samson, G. Sartorelli, 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, R. Shevchenko, S. Shimizu, O. Shkola, I. Singh, I. O. Skillicorn, W. Słomiński, W. H. Smith, V. Sola, A. Solano, D. C. Son, V. Sosnovtsev, A. Spiridonov, H. Stadie, L. Stanco, N. Stefaniuk, A. Stern, T. P. Stewart, A. Stifutkin, P. Stopa, S. Suchkov, G. Susinno, L. Suszycki, J. Sztuk-Dambietz, D. Szuba, J. Szuba, A. Tapper, E. ̃Tassi, J. Terrón, T. Theedt, H. Tiecke, K. Tokushuku, J. Tomaszewska, A. Trofymov, V. Trusov, T. Tsurugai, M. Turcato, O. Turkot, T. Tymieniecka, Andrii Verbytskyi, O. Viazlo, N. Vlasov, R. Walczak, Wan Ahmad Tajuddin Wan Abdullah, J. Whitmore, K. Wichmann, L. Wiggers, M. Wing, M. Wlasenko, G. Wolf, H. Wolfe, K. Wrona, A. G. Yagües-Molina, S. Yamada, Y. Yamazaki, R. Yoshida, C. Youngman, N. Zakharchuk, A. F. Żarnecki, L. Zawiejski, O. Zenaiev, W. Zeuner, B.O. Zhautykov, N. Zhmak, A. Zichichi, Z. Zolkapli, D. S. Zotkin

Bibliographic record

VenueJournal of High Energy Physics · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityUniversity of TorontoYork University
FundersNuclear PhysicsDeutsches Elektronen-SynchrotronBundesministerium für Bildung und ForschungStrongU.S. Department of Energy
KeywordsPhysicsHERAParticle physicsCharm quarkNuclear physicsPseudorapidityHadronMesonZEUS (particle detector)Charm (quantum number)Deep inelastic scatteringQuantum chromodynamicsScatteringCharged particleInelastic scattering

Abstract

fetched live from OpenAlex

A bstract The production of D 0 , D * + , D + , $ D_s^{+} $ and $ \Lambda_c^{+} $ charm hadrons and their antiparticles in ep scattering at HERA has been studied with the ZEUS detector, using a total integrated luminosity of 372 pb −1 . The fractions of charm quarks hadronising into a particular charm hadron were derived. In addition, the ratio of neutral to charged D -meson production rates, the fraction of charged D mesons produced in a vector state, and the stangeness-suppression factor have been determined. The measurements have been performed in the photoproduction regime. The charm hadrons were reconstructed in the range of transverse momentum p T > 3 . 8 GeV and pseudorapidity | η | < 1 . 6. The charm fragmentation fractions are compared to previous results from HERA and from e + e − experiments. The data support the hypothesis that fragmentation is independent of the production process.

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)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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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Citations52
Published2013
Admission routes1
Has abstractyes

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