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Determination of the sensitivity of $$\Lambda $$ and $$\Lambda ^+_c$$ electric dipole moments using a full angular analysis

2025· article· en· W4415987137 on OpenAlexfundno aff
R.T. Ovsiannikov, A. Yu. Korchin, E. Kou

Bibliographic record

VenueThe European Physical Journal C · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersErasmus+Uniwersytet Jagielloński w KrakowieAgence Universitaire de la Francophonie
KeywordsSensitivity (control systems)DipoleAnnihilationMoment (physics)Electric dipole momentBaryonSIGNAL (programming language)

Abstract

fetched live from OpenAlex

Abstract A search for a non-zero Electric Dipole Moment (EDM) of particles, which is a clear signal of a violation of CP symmetry, is one of the unique ways to discover physics beyond the Standard Model. In this paper, we discuss a method for determining the EDM of baryons from the full angular distribution of final particles in electron-positron pair annihilation processes. The question of how accurately the state-of-the-art experiments can determine EDM of $$\Lambda $$ Λ and $$\Lambda _c^+$$ Λ c + baryons is discussed in detail. Investigating the pseudo-statistics that corresponds to the BESIII experiment, the estimated sensitivity for $$\Lambda $$ Λ EDM is obtained at the level of $$10^{-18}$$ 10 - 18 $$e\,$$ e cm. The similar figure for the proposed Super Tau-Charm Facility (STCF) experiment is found to be of the order of $$10^{-20}$$ 10 - 20 $$e\,$$ e cm. For the $$\Lambda _c^+$$ Λ c + EDM, the calculated sensitivity for the STCF experiment is $$10^{-16}$$ 10 - 16 $$e\,$$ e cm. The case of a polarized initial electron is considered separately as such an option is planned at the STCF experiment.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.265
Teacher spread0.255 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueThe European Physical Journal CSame topicParticle physics theoretical and experimental studiesFrench-language works237,207