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>
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".