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Record W2791475941 · doi:10.22323/1.281.0069

Systematic Studies Of E0 Transitions In 54,56,58 Fe

2017· article· en· W2791475941 on OpenAlexaff
T. K. Eriksen, T. Kibédi, Matthew Reed, Mitchell deVries, A. E. Stuchbery, A. Akber, J. T. H. Dowie, L. J. Evitts, A. B. Garnsworthy, M. S. M. Gerathy, G. J. Lane, A. J. Mitchell, S. Mukhopadhyay, T. Palazzo, E. E. Peters, A. P. D. Ramirez, J. Smallcombe

Bibliographic record

VenueProceedings of The 26th International Nuclear Physics Conference — PoS(INPC2016) · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsTRIUMF
FundersAustralian Research CouncilNational Science Foundation
KeywordsExcited stateAtomic physicsPhysicsNeutronNuclear structureNuclear physics

Abstract

fetched live from OpenAlex

Doubly magic nuclei and their near neighbours serve as an ideal testing ground for the nuclear shell model, and, consequently, enable us to define effective nuclear interactions. Collective states in nuclei near $^{56}$Ni can be attributed to multiparticle-multihole excitations from the $1f_{7/2}$ to the $2p_{3/2}$, $1f_{5/2}$ and $2p_{1/2}$ orbits across the $N$, $Z$ = 28 shell gap. These features are usually associated with shape coexistence. Properties of excited $0^{+}$ states, as well as $E0$ and $E2$ transition strengths are sensitive probes of the underlying nuclear structure. The aim of this work is to identify and characterize excited $0^{+}$ states and corresponding $E0$ transitions in $^{54,56,58}$Fe to search for shape coexistence around the $N$, $Z$ = 28 shell closure. In order to obtain experimental information, $E0$ transitions between the lowest excited $0^{+}$ states and ground states were measured for the stable even-even iron isotopes using the superconducting electron spectrometer ,"Super-e", at the Australian National University. Additional information on angular distributions, angular correlations, and $\gamma - \gamma$ coincidences was obtained with the CAESAR detector array (at ANU) under the same experimental conditions. In order to deduce $E0$ strengths, the experimental data were evaluated with lifetime information from Doppler-shift attenuation measurements following inelastic neutron scattering, carried out at the University of Kentucky.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
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 head0.050
GPT teacher head0.330
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

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