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Record W2951093442 · doi:10.1051/epjconf/201921203008

An amplitude analysis of the process <i>e<sup>+</sup>e</i><sup>-</sup>→ 4π in the center-of-mass energy range 900–2000 MeV with the CMD3 detector at the VEPP-2000 <i>e<sup>+</sup>e</i><sup>-</sup> collider

2019· article· en· W2951093442 on OpenAlexaff
E. A. Kozyrev, 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. N. Kirpotin, A. Korobov, A. Kozyrev, P. Krokovny, A.E. Kuzmenko, A. Kuzmin, I.B. Logashenko, P.A. Lukin, K. Mikhailov, V.S. Okhapkin, Yu.N. Pestov, Alexander Popov, G.P. Razuvaev, Yu. A. Rogovsky, A.A. Ruban, N.M. Ryskulov, A.E. Ryzhenenkov, A. Semenov, Yu. M. Shatunov, P. Yu. Shatunov, V. Shebalin, D.N. Shemyakin, B. Shwartz, D. B. Shwartz, A.L. Sibidanov, E. P. Solodov, В.М. Титов, A. A. Talyshev, A.I. Vorobiov, I. M. Zemlyansky, 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
Fundersnot available
KeywordsAmplitudePhysicsRange (aeronautics)Nuclear physicsCenter (category theory)Center of mass (relativistic)Energy (signal processing)ColliderDetectorElectron–positron annihilationAtomic physicsHadronOpticsChemistryMaterials scienceCrystallography

Abstract

fetched live from OpenAlex

A large data sample of e + e - → 4π collected by the CMD-3 experiment at the VEPP-2000 e + e − collider allowed for an amplitude analysis of the process e + e − → 4π in the center-of-mass energy range 900–2000 MeV. Various intermediate components were distinguished and dominance of the ωπ 0 and a 1 π amplitudes has been proved.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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 teacher head, not a consensus.

Study designObservational
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

Citations4
Published2019
Admission routes1
Has abstractyes

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