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Record W4366735406 · doi:10.48550/arxiv.2304.10331

Nuclear T-violation search using octupole-deformed nuclei in a crystal

2023· preprint· en· W4366735406 on OpenAlexfundno aff
Harish D. Ramachandran, Amar C. Vutha

Bibliographic record

VenuearXiv (Cornell University) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsPhysicsIonCrystal (programming language)Variety (cybernetics)Symmetry (geometry)IsotopeAtomic physicsNuclear physicsComputer scienceQuantum mechanicsMathematicsGeometry

Abstract

fetched live from OpenAlex

Precision measurements with atoms and molecules can search for subtle violations of time-reversal symmetry (T) in nuclei, and thereby probe a variety of new physics models. We present a detailed scheme for a nuclear T-violation search experiment using $^{153}$Eu$^{3+}$ ions doped in non-centrosymmetric sites within a Y$_2$SiO$_5$ crystal. The ions in this solid contain nuclei that are highly sensitive to T-violation, and avail of large atomic enhancements by being polarized within the solid. But in particular, the system and methods that we discuss here enable the use of vast numbers of nuclei trapped in crystals, while also offering a number of stringent tests to ward off systematic errors. Our approach maps out a path to probe new physics at the PeV energy scale.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.218
Teacher spread0.108 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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