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Record W2952294240 · doi:10.1051/epjconf/201921204011

Current status of luminosity measurement with the CMD-3 detector at the VEPP-2000 collider

2019· article· en· W2952294240 on OpenAlexaff
A.E. Ryzhenenkov, 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, G.V. Fedotovich, S.E. Gayazov, A.A. Grebenuk, S.S. Gribanov, D.N. Grigoriev, F.V. Ignatov, V. L. Ivanov, S.V. Karpov, V. F. Kazanin, I. A. Koop, A. Korobov, A. Kozyrev, E.A. Kozyrev, P. Krokovny, A.E. Kuzmenko, A. Kuzmin, I.B. Logashenko, P.A. Lukin, K. Mikhailov, V.S. Okhapkin, A.V. Otboev, E. A. Perevedentsev, Yu.N. Pestov, Alexander Popov, G.P. Razuvaev, A.A. Ruban, N.M. Ryskulov, Yu. M. Shatunov, P. Yu. Shatunov, V. Shebalin, D.N. Shemyakin, B. Shwartz, D. B. Shwartz, A.L. Sibidanov, E. P. Solodov, A. A. Talyshev, S. S. Tolmachev, A.I. Vorobiov, Yu. V. Yudin

Bibliographic record

VenueEPJ Web of Conferences · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Victoria
FundersRussian Foundation for Basic Research
KeywordsLuminosityPhysicsColliderDetectorNuclear physicsRange (aeronautics)PositronPhotonEnergy (signal processing)ElectronParticle physicsAstrophysicsOptics

Abstract

fetched live from OpenAlex

The CMD-3 detector started data taking at the electron-positron collider VEPP-2000 [1] in December 2010. The collected data sample corresponds to an integrated luminosity of 87 pb−1 in the c.m. energy range from 1.06 up to 2 GeV and 91 pb−1 from 0.32 to 1.06 GeV. The integrated luminosity was measured by counting e+e−→ e+e− and e+e−→ γγ events, allowing additional photons in the final state. Preliminary results of the luminosity measurement are presented for various energy ranges and its accuracy is estimated to be 1%.

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)0.010
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0050.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.004

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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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