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Record W2582901237 · doi:10.1103/physrevc.95.014321

Investigation of negative-parity states in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Dy</mml:mi><mml:mprescripts/><mml:none/><mml:mn>156</mml:mn></mml:mmultiscripts></mml:math>: Search for evidence of tetrahedral symmetry

2017· article· lv· W2582901237 on OpenAlexaff
D. J. Hartley, L. L. Riedinger, R. V. F. Janssens, S. N. T. Majola, M. A. Riley, J. M. Allmond, C. W. Beausang, M. P. Carpenter, C. J. Chiara, N. Cooper, D. Curien, B. J. P. Gall, P. E. Garrett, F. G. Kondev, W. D. Kulp, T. Lauritsen, E. A. McCutchan, D. Miller, S.L. Miller, J. Piot, N. Redon, J. F. Sharpey‐Schafer, J. Simpson, I. Ştefânescu, X. Wang, V. Werner, John L. Wood, C.-H. Yu, S. Zhu, J. Dudek

Bibliographic record

VenuePhysical review. C · 2017
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of Guelph
FundersNational Research FoundationU.S. Department of EnergyScience and Technology Facilities CouncilNational Science Foundation
KeywordsPhysicsParity (physics)GammasphereTetrahedral symmetryAtomic physicsTetrahedronIonCrystallographyQuantum mechanicsExcited stateChemistry

Abstract

fetched live from OpenAlex

An experiment populating low/medium-spin states in $^{156}\mathrm{Dy}$ was performed to investigate the possibility of tetrahedral symmetry in this nucleus. In particular, focus was placed on the low-spin, negative-parity states since recent theoretical studies suggest that these may be good candidates for this high-rank symmetry. The states were produced in the $^{148}\mathrm{Nd}(^{12}\mathrm{C},4n)$ reaction and the Gammasphere array was utilized to detect the emitted $\ensuremath{\gamma}$ rays. $B(E2)/B(E1)$ ratios of transition probabilities from the low-spin, negative-parity bands were determined and used to interpret whether these structures are best associated with tetrahedral symmetry or, as previously assigned, to octupole vibrations. In addition, several other negative-parity structures were observed to higher spin and two new sequences were established.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.934
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.058
GPT teacher head0.333
Teacher spread0.275 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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