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Record W2980860531 · doi:10.1051/epjconf/201921802008

Study of the processes <i>e</i><sup>+</sup><i>e</i><sup>-</sup>→ <i>K</i><sup>+</sup><i>K</i><sup>−</sup> + <i>n</i>π (n = 1,2,3) with the CMD-3 detector at the VEPP-2000 electron-positron collider

2019· article· en· W2980860531 on OpenAlexaff
G.V. Fedotovich, R.R. Akhmetshin, Artem Amirkhanov, A. V. Anisenkov, V.M. Aulchenko, V.Sh. Banzarov, N.S. Bashtovoy, D. E. Berkaev, A. Bondar, A.V. Bragin, S.I. Eidelman, D. Epifanov, L.B. Epshteyn, A.L. Erofeev, S.E. Gayazov, A.A. Grebenuk, S.S. Gribanov, D.N. Grigoriev, F.V. Ignatov, V. L. Ivanov, S.V. Karpov, A. S. Kasaev, V. F. Kazanin, A. Korobov, I. A. Koop, A. Kozyrev, E. A. Kozyrev, P. Krokovny, A.E. Kuzmenko, A. Kuzmin, I.B. Logashenko, P.A. Lukin, А. П. Лысенко, K. Mikhailov, V.S. Okhapkin, E. A. Perevedentsev, Yu.N. Pestov, Alexander Popov, G.P. Razuvaev, Yu. A. Rogovsky, A.A. Ruban, N.M. Ryskulov, A.E. Ryzhenenkov, V. Shebalin, D.N. Shemyakin, B.A. Shwartz, D. B. Shwartz, A.L. Sibidanov, Yu. M. Shatunov, E. P. Solodov, A. A. Talyshev, A.I. Vorobiov, Yu. V. Yudin, I. M. Zemlyansky

Bibliographic record

VenueEPJ Web of Conferences · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Victoria
FundersRussian Science FoundationRussian Foundation for Basic Research
KeywordsColliderLuminosityPhysicsDetectorNuclear physicsElectronEnergy (signal processing)PositronElectron–positron annihilationParticle physicsAtomic physicsHadronOpticsAstrophysics

Abstract

fetched live from OpenAlex

The data sample collected in 2011-2013 at the c.m.s. energies between 0.32-2 GeV with the CMD-3 detector operating at the VEPP-2000 e + e − collider is analzed. The collected data corresponds to an integrated luminosity about ∼ 60 pb −1 . The techniques for determination of the integrated luminosity for each energy setting is described. Some preliminary results of the study of the processes e + e − → K + K − + n π (n = 1,2,3) with two charged kaons in the final state are presented. These processes have several intermediate states, which are important to correctly descript the angular distributions of final particles and the cross sections dependence on the energy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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