<sup>105</sup>Tc nuclear structure and systematic evolution of states of 1/2<sup>+</sup>[431] intruder band in odd-A <sup>95,97,99,101,103,105,107</sup>Tc isotopes
Bibliographic record
Abstract
Previously observed negative and positive parity states of 105Tc were studied in the framework of the particle-rotor model. Transition properties and experimental energies were compared to the predictions of model calculations. A systematic study of the evolution of the intruder π1/2+[413] band in the nuclear structure of odd-A technetium isotopes 95,97,99,101,103,105,107Tc is presented as well. The existence of this intruder band has been argued previously in 95,97,99,101,103Tc isotopes (partially populated) and fully observed and confirmed in 105Tc. It will be shown that changes in deformation and subsequently the position of the Fermi level, vis a vis the 1/2+[431] intruder orbital originating from the π(d5/2, g7/2) subshells, predominantly affect these systematic changes. All four interpreted experimental rotational bands are naturally predicted by the rotational model as bands build on states of good Ω originating from the 5/2+[422], 5/2–[303], 3/2–[301], and 1/2+[431] orbitals near the Fermi level in deformed 105Tc (strong coupling). Further experimental investigation about missing data are needed for those observed in low lying states in both 105Tc and 103Tc to confirm the presence of the 1/2–[301] rotational band that is well defined in lighter 95,97,99,101Tc isotopes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".