MétaCan
Menu
Back to cohort
Record W2044311399 · doi:10.1139/p02-099

Development of the new method of positronium generation. Abilities and future trends

2002· article· en· W2044311399 on OpenAlexvenueno aff
V. Antropov, А. В. Иванов, Yu Korotaev, T. N. Mamedov, И. Н. Мешков, И. Селезнев, A. Sidorin, Alexander V. Smirnov, E. Syresin, G. V. Trubnikov, S. L. Yakovenko

Bibliographic record

VenueCanadian Journal of Physics · 2002
Typearticle
Languageen
FieldEngineering
TopicMuon and positron interactions and applications
Canadian institutionsnot available
Fundersnot available
KeywordsPositroniumPhysicsPositronAccumulator (cryptography)ElectronAtomic physicsFlux (metallurgy)AntimatterToroidNuclear physicsAntiparticleLeptonPlasma

Abstract

fetched live from OpenAlex

Presently the positron ring dedicated to positronium generation and called the Low Energy Positron Toroidal Accumulator (LEPTA) is under construction at JINR (Dubna). The main application of this ring is the generation of a monoenergetic and directed flux of positronium atoms and its use in experiments. Positronium is generated in interactions of positrons, circulating inside a storage ring accumulator, with free electrons of the cooling electron beam that have velocities very close to the positron velocities. This allows us to obtain a high positronium flux with small angular and velocity spreads of the atoms and provides a significant advantage for the proposed arrangement of experiments, so-called positronium-in-flight setups, as compared with traditional approaches in which positronium was generated in targets. In particular, the precision in measuring positronium parameters (lifetime, the probability of decays with momentum conservation, charge invariant violation (CPT violation), fine structure of the positronium spectrum, and Lamb-shift measurements) can be enhanced by several orders of magnitude. Moreover, some experiments that are unrealistic within traditional schemes become feasible with the proposed facility. PACS No.: 36.10Dr

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.146

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of PhysicsSame topicMuon and positron interactions and applicationsFrench-language works237,207