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Record W2903175303 · doi:10.1007/jhep10(2014)033

Measurement of beauty and charm production in deep inelastic scattering at HERA and measurement of the beauty-quark mass

2014· article· en· W2903175303 on OpenAlexaff
H. Abramowicz, I. Abt, L. Adamczyk, M. Adamus, R. Aggarwal, S. Antonelli, O. Arslan, V. Aushev, Y. Aushev, O. Bachynska, A.N. Barakbaev, N. Bartosik, O. Behnke, J. K. Behr, U. Behrens, A. Bertolin, S. Bhadra, I. Bloch, V. Bokhonov, E. G. Boos, K. Borras, I. Brock, R. Brugnera, A. Bruni, B. Brzozowska, P. Bussey, A. Caldwell, M. Capua, C. D. Catterall, J. J. Chwastowski, J. Ciborowski, R. Ciesielski, A. M. Cooper-Sarkar, M. Corradi, F. Corriveau, G. D’Agostini, R. K. Dementiev, R.C.E. Devenish, G. Dolinska, V. Drugakov, S. Dusini, J. Ferrando, J. Figiel, G. P. Gach, A. Garfagnini, A. Geiser, A. Gizhko, L. K. Gladilin, O. Gogota, Yu. A. Golubkov, J. Grebenyuk, I. M. Gregor, G. Grzelak, O. Gueta, M. P. Guzik, W. Hain, G. Hartner, D. Hochman, R. Hori, Z. A. Ibrahim, Y. Iga, M. Ishitsuka, A. Iudin, F. Januschek, І. Каденко, S. Kananov, T. Kanno, U. Karshon, M. Kaur, P. Kaur, L. A. Khein, D. Kisielewska, R. Klanner, U. Klein, N. Kondrashova, O. Kononenko, Ie. Korol, I. A. Korzhavina, A. Kotański, U. Kötz, N. Kovalchuk, H. Kowalski, O. Kuprash, M. Kuze, B. B. Levchenko, A. Levy, V. Libov, S. Limentani, M. Lisovyi, E. Lobodzinska, W. Lohmann, B. Löhr, E. Lohrmann, A. Longhin, D. Lontkovskyi, O.Yu. Lukina, J. Maeda, I. Makarenko, J. Malka, S. Ye, F. Mohamad Idris, K. Mujkic, V. Myronenko, K. Nagano, A. Nigro, T. Nobe, D. Notz, R.J. Nowak, K. Olkiewicz, Y. Onishchuk, E. Paul, W. Perlański, H. Perrey, N.S. Pokrovskiy, A.S. Proskuryakov, M. Przybycień, A. Raval, P. Roloff, I. Rubinsky, Marta Ruspa, V. Samojlov, D. H. Saxon, M. Schioppa, W. B. Schmidke, U. Schneekloth, T. Schörner-Sadenius, J. Schwartz, L.M. Shcheglova, R. Shehzadi, R. Shevchenko, O. Shkola, I. Singh, I. O. Skillicorn, W. Słomiński, V. Sola, A. Solano, Alexander Spiridonov, L. Stanco, N. Stefaniuk, A. Stern, T. P. Stewart, P. Stopa, J. Sztuk-Dambietz, D. Szuba, J. Szuba, E. ̃Tassi, T. Temiraliev, K. Tokushuku, J. Tomaszewska, A. Trofymov, V. Trusov, T. Tsurugai, M. Turcato, O. Turkot, T. Tymieniecka, Andrii Verbytskyi, O. Viazlo, R. Walczak, W. A. T. Wan Abdullah, K. Wichmann, M. Wing, G. Wolf, S. Yamada, Y. Yamazaki, N. Zakharchuk, A. F. Żarnecki, L. Zawiejski, O. Zenaiev, B.O. Zhautykov, N. Zhmak, D. S. Zotkin

Bibliographic record

VenueJournal of High Energy Physics · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityUniversity of TorontoYork University
Fundersnot available
KeywordsPhysicsHERAParticle physicsCharm (quantum number)Nuclear physicsCharm quarkQuarkQuantum chromodynamicsDeep inelastic scatteringPerturbative QCDBottom quarkPseudorapidityScatteringTop quarkInelastic scatteringCharged particle

Abstract

fetched live from OpenAlex

The production of beauty and charm quarks in ep interactions has been studied with the ZEUS detector at HERA for exchanged four-momentum squared 5 < Q 2 < 1000 GeV2 using an integrated luminosity of 354 pb−1. The beauty and charm content in events with at least one jet have been extracted using the invariant mass of charged tracks associated with secondary vertices and the decay-length significance of these vertices. Differential cross sections as a function of Q 2, Bjorken x, jet trans- verse energy and pseudorapidity were measured and compared with next-to-leading-order QCD calculations. The beauty and charm contributions to the proton structure functions were extracted from the double-differential cross section as a function of x and Q 2. The running beauty-quark mass, m b at the scale m b , was determined from a QCD fit at next-to-leading order to HERA data for the first time and found to be m b (m b ) = 4.07 ± 0.14 (fit) − 0.07 + 0.01 (mod.) − 0.00 + 0.05 (param.) − 0.05 + 0.08 (theo.) GeV.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.210
Teacher spread0.197 · 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

Citations28
Published2014
Admission routes1
Has abstractyes

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