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Record W2113878370 · doi:10.1103/physrevc.92.014310

First identification of rotational band structures in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Re</mml:mi><mml:mn>91</mml:mn><mml:none/><mml:mprescripts/><mml:mn>75</mml:mn><mml:mn>166</mml:mn></mml:mmultiscripts></mml:math>

2015· article· lv· W2113878370 on OpenAlexaff
H. J. Li, M. Doncel, Monika Patial, B. Cederwall, T. Bäck, U. Jakobsson, K. Auranen, S. Bönig, M. C. Drummond, T. Grahn, P. T. Greenlees, A. Herzáň, D. T. Joss, R. Julin, S. Juutinen, J. Konki, T. Kröll, M. Leino, C. McPeake, D. O’Donnell, R. D. Page, J. Pakarinen, J. Partanen, P. Peura, P. Rahkila, P. Ruotsalainen, M. Sandzelius, J. Sarén, B. Sayğı, C. Scholey, J. Sorri, S. Stolze, M. J. Taylor, A. Thornthwaite, J. Uusitalo, Zhigang Xiao

Bibliographic record

VenuePhysical Review C · 2015
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsTRIUMF
FundersSeventh Framework ProgrammeScience and Technology Facilities CouncilChina Scholarship CouncilJyväskylän YliopistoVetenskapsrådetAcademy of Finland
KeywordsPhysicsAlgorithmComputer science

Abstract

fetched live from OpenAlex

Excited states in the odd-odd, highly neutron-deficient nucleus $^{166}\mathrm{Re}$ have been investigated via the $^{92}\mathrm{Mo}(^{78}\mathrm{Kr},\phantom{\rule{0.16em}{0ex}}3p1n)^{166}\mathrm{Re}$ reaction. Prompt $\ensuremath{\gamma}$ rays were detected by the JUROGAM II $\ensuremath{\gamma}$-ray spectrometer, and the recoiling fusion-evaporation products were separated by the recoil ion transport unit (RITU) gas-filled recoil separator and implanted into the Gamma Recoil Electron Alpha Tagging spectrometer located at the RITU focal plane. The tagging and coincidence techniques were applied to identify the $\ensuremath{\gamma}$-ray transitions in $^{166}\mathrm{Re}$, revealing two collective, strongly coupled rotational structures, for the first time. The more strongly populated band structure is assigned to the $\ensuremath{\pi}{h}_{11/2}[514]9/{2}^{\ensuremath{-}}\ensuremath{\bigotimes}\ensuremath{\nu}{i}_{13/2}[660]1/{2}^{+}$ Nilsson configuration, while the weaker structure is assigned to be built on a two-quasiparticle state of mixed $\ensuremath{\pi}{h}_{11/2}[514]9/{2}^{\ensuremath{-}}\ensuremath{\bigotimes}\ensuremath{\nu}[{h}_{9/2}{f}_{7/2}]3/{2}^{\ensuremath{-}}$ character. The configuration assignments are based on the electromagnetic characteristics and rotational properties, in comparison with predictions from total Routhian surface and particle-rotor model calculations.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.035
GPT teacher head0.293
Teacher spread0.258 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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Same venuePhysical Review CSame topicNuclear physics research studiesFrench-language works237,207