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Record W4386557440 · doi:10.48550/arxiv.2309.02037

Nuclear charge radii of silicon isotopes

2023· preprint· en· W4386557440 on OpenAlexfundno aff
Kristian König, J. C. Berengut, Anastasia Borschevsky, Alex Brinson, B. A. Brown, Adam Dockery, Serdar Elhatisari, Ephraim Eliav, R. F. García Ruíz, J. D. Holt, B. S. Hu, J. Karthein, Dean Lee, Y. Z., Ulf-G. Meißner, K. Minamisono, Alexander V. Oleynichenko, Skyy Pineda, Sergey D. Prosnyak, Marten L. Reitsma, L. V. Skripnikov, A. R. Vernon, Andrei Zaitsevski

Bibliographic record

VenuearXiv (Cornell University) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaGauss Centre for SupercomputingAlliance de recherche numérique du CanadaNational Natural Science Foundation of ChinaRijksuniversiteit GroningenU.S. Department of EnergyEuropean CommissionRussian Science FoundationCollege of Engineering, Michigan State UniversityChina Postdoctoral Science FoundationWestern Canada Research GridVolkswagen FoundationMichigan State UniversityNational Science Foundation
KeywordsValence (chemistry)Charge radiusEffective nuclear chargePhysicsObservableSiliconAtomic physicsIsotopeRADIUSAb initioNuclear structureNuclear physicsQuantum mechanicsElectron

Abstract

fetched live from OpenAlex

The nuclear charge radius of $^{32}$Si was determined using collinear laser spectroscopy. The experimental result was confronted with ab initio nuclear lattice effective field theory, valence-space in-medium similarity renormalization group, and mean field calculations, highlighting important achievements and challenges of modern many-body methods. The charge radius of $^{32}$Si completes the radii of the mirror pair $^{32}$Ar - $^{32}$Si, whose difference was correlated to the slope $L$ of the symmetry energy in the nuclear equation of state. Our result suggests $L \leq 60$\,MeV, which agrees with complementary observables.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.084
GPT teacher head0.217
Teacher spread0.133 · 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
Published2023
Admission routes1
Has abstractyes

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