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Record W4220749284 · doi:10.22323/1.380.0459

The TUCAN Neutron Electric Dipole Moment Experiment

2022· article· en· W4220749284 on OpenAlexafffund
Mark McCrea

Bibliographic record

VenueProceedings of Particles and Nuclei International Conference 2021 — PoS(PANIC2021) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of Winnipeg
FundersBritish Columbia Knowledge Development FundJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaResearch Manitoba
KeywordsNeutron electric dipole momentUltracold neutronsCryostatNeutronPhysicsSpallation Neutron SourceShielded cableNuclear physicsDipoleMagnetometerSuperfluid helium-4SpallationNeutron sourceElectric dipole momentLiquid heliumHeliumNuclear engineeringAtomic physicsElectrical engineeringMagnetic fieldCondensed matter physicsEngineeringSuperconductivity

Abstract

fetched live from OpenAlex

The goal of the TRIUMF Ultra-Cold Advanced Neutron (TUCAN) Collaboration is to successfully make an new measurement of the neutron electric dipole measurement (nEDM) experiment with an uncertainty of 1 × 10−27 e-cm in 400 days of run time, a one order of magnitude improvement compared to the current world’s best. The experiment is unique in using a spallation-driven superfluid helium (He-II) source of ultracold neutrons (UCN). We are now at the stage of upgrading the UCN source to produce world-leading UCN densities, using a new He-II cryostat that has undergone cryogenic testing at KEK in 2020-21. We are also assembling the experimental components of the EDM experiment, including a magnetically shielded room, coils, and atomic magnetometers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

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)0.0010.000

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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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 designTheoretical or conceptual
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

Citations2
Published2022
Admission routes2
Has abstractyes

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